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Annual Report for 2010/11 and Forward Programme - Sellafield Ltd

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Particles in the Environment<strong>Annual</strong> <strong>Report</strong> <strong>for</strong> <strong>2010</strong>/<strong>11</strong><strong>and</strong> <strong>Forward</strong> <strong>Programme</strong>June 20<strong>11</strong>© Nuclear Decommissioning Authority 20<strong>11</strong>


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Particles in the Environment <strong>Annual</strong> <strong>Report</strong> <strong>2010</strong>/<strong>11</strong>Purpose of this reportThis report details the progress that has been made during the <strong>2010</strong>/<strong>11</strong> financial year on theunderst<strong>and</strong>ing of the nature <strong>and</strong> potential health risk posed by radioactive particles in theEnvironment. It sets out the aims <strong>and</strong> objectives <strong>for</strong> the project <strong>and</strong> provides the programmeof future work that <strong>Sellafield</strong> <strong>Ltd</strong> believes will meet these objectives.© Nuclear Decommissioning Authority 20<strong>11</strong>. 1


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>ContentsPurpose of this report .............................................................................................. 1Contents.................................................................................................................... 2List of Tables ............................................................................................................ 4List of Figures........................................................................................................... 41. Introduction........................................................................................................... 62. Background........................................................................................................... 72.1 Origin of the large area beach monitoring programme ............................................72.2 Beach monitoring methods.........................................................................................92.3 Beach monitoring findings to date ...........................................................................102.3.1 Locations ...............................................................................................................102.3.2 Find rates...............................................................................................................102.3.3 Find sizes ..............................................................................................................<strong>11</strong>2.3.4 Find classification ..................................................................................................122.3.4.1 Alpha <strong>and</strong> Beta-rich ........................................................................................122.3.4.2 Alpha-rich .......................................................................................................122.3.4.3 Beta-rich .........................................................................................................122.3.4.3 60 Co rich..........................................................................................................122.3.5 Analysis of finds.....................................................................................................132.4 Sources <strong>and</strong> Pathways of beach finds.....................................................................132.5 Offshore monitoring...................................................................................................152.6 Risk Assessment........................................................................................................153. Progress during <strong>2010</strong>/<strong>11</strong>.................................................................................... 173.1 Beach Monitoring <strong>2010</strong>/<strong>11</strong> ........................................................................................173.1.1 Introduction............................................................................................................173.1.2 Beach monitoring programme specification <strong>for</strong> <strong>2010</strong>/<strong>11</strong> .......................................173.1.3. Achievement of the <strong>2010</strong>/<strong>11</strong> beach monitoring programme.................................173.1.3.1 Detection capability of radionuclide populations...........................................173.1.3.2 Area coverage ................................................................................................183.1.4 Beach Finds..........................................................................................................193.1.4.1 Particles <strong>and</strong> Stones.......................................................................................193.1.4.2 Geographic distribution of finds ......................................................................233.1.4.3 Find rates per hectare ....................................................................................233.1.4.4. Find Classification .........................................................................................263.1.5 Risks from particles found in the environment.......................................................323.1.6 Conclusions...........................................................................................................323.2 Find Analysis <strong>and</strong> Statistics......................................................................................333.2.1 Introduction............................................................................................................333.2.2 What has been achieved with this analytical data? ...............................................343.2.2.1 Key Findings from <strong>Sellafield</strong> <strong>Ltd</strong> Analyses .....................................................343.2.2.2 Key Findings from External Analyses Contracts ............................................533.2.2.3 Key Findings from GIS Analysis .....................................................................563.2.2.4 Key Findings from Statistical Techniques Analyses .......................................593.2.3 Analysis Conclusions............................................................................................633.3 Offshore Monitoring...................................................................................................643.3.1 Hydrodynamic Modelling Contract.........................................................................643.3.2 Progress on analysis <strong>and</strong> interpretation of existing swath bathymetry data..........653.3.3 Progress on measurements of bed shear stress in the vicinity of the <strong>Sellafield</strong>discharge pipeline...........................................................................................................673.3.4 Progress on the literature review of airborne transport of particles in the Cumbrianbeach environment.........................................................................................................713.4 Monitoring R&D: Evaluation of Airborne Gamma Spectrometry...........................73© Nuclear Decommissioning Authority 20<strong>11</strong>. 2


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>4. Regulator <strong>and</strong> Stakeholder engagement.......................................................... 754.1 General Engagement with the Environment Agency..............................................754.2 Multi-Agency Workshop ............................................................................................764.3 COMARE .....................................................................................................................764.4 <strong>Sellafield</strong> Seabed Monitoring Working Group .........................................................764.5 Local stakeholders.....................................................................................................775. Health Risk Assessment.................................................................................... 785.1 Health Protection Agency assessment ....................................................................785.2 Uncertainty <strong>and</strong> recommendations <strong>for</strong> future work................................................795.3 Risks to workers.........................................................................................................805.3.1 Nuvia operations....................................................................................................805.3.2 Inhalation...............................................................................................................815.3.3 Ingestion................................................................................................................815.3.4 Skin contact <strong>and</strong> wounds.......................................................................................825.3.5 Reassurance by monitoring <strong>for</strong> internal uptake .....................................................825.3.6 Potential of exposure to the public ........................................................................825.4 Nuvia dosimetry investigation ..................................................................................826. Aims <strong>and</strong> Objectives .......................................................................................... 846.1 Introducing the requirement <strong>for</strong> large area beach monitoring...............................846.2 Beach monitoring programme review......................................................................846.3 Developing the approach <strong>for</strong> offshore monitoring..................................................856.4 Developing aims <strong>and</strong> objectives <strong>for</strong> the particles in the environment workprogramme........................................................................................................................866.5 Primary Questions <strong>and</strong> their Grouping ....................................................................887. <strong>Programme</strong> of work <strong>for</strong> 20<strong>11</strong>/12 ........................................................................ 957.1 20<strong>11</strong>/12 Beach Monitoring <strong>Programme</strong> ....................................................................957.2 Application of BAT <strong>for</strong> beach monitoring ..............................................................1047.2.1 Introduction..........................................................................................................1047.2.2 Beach monitoring detection equipment ...............................................................1047.2.3 Consistent approach <strong>for</strong> statistical interpretation.................................................1067.2.4 Monitoring speed.................................................................................................1067.2.5 Daily overlap of monitoring area..........................................................................1067.2.6 Str<strong>and</strong>line monitoring...........................................................................................1077.2.7 Alternative monitoring methods...........................................................................1077.3 Offshore Monitoring <strong>for</strong> 20<strong>11</strong>/12 .............................................................................1077.3.1 Continued dialogue with Dounreay Site Restoration <strong>Ltd</strong>.....................................1077.3.2 DSRL ROV Trial ..................................................................................................1087.3.3 EA Grab Sampling...............................................................................................1087.3.4 Developing the <strong>for</strong>ward programme <strong>for</strong> offshore monitoring ...............................1097.4 Future Beach Monitoring Assessment Work <strong>Programme</strong>....................................<strong>11</strong>37.5 Summary of costs ....................................................................................................<strong>11</strong>38. <strong>Programme</strong> of Works ....................................................................................... <strong>11</strong>5Appendix 1 <strong>2010</strong>/<strong>11</strong> Beach Monitoring Coverage MapsAppendix 2 Interpretation of swath bathymetry in the Eastern Irish Sea <strong>for</strong> <strong>Sellafield</strong><strong>Ltd</strong>Appendix 3 Currents at the <strong>Sellafield</strong> <strong>Ltd</strong> Pipeline: June <strong>2010</strong>-February 20<strong>11</strong>Appendix 4 Modelling Gamma Spectrometry Systems <strong>for</strong> use in Beach Monitoringnear <strong>Sellafield</strong>Appendix 5 In<strong>for</strong>mation sent to EA in support of a 150 ha beach monitoringprogramme© Nuclear Decommissioning Authority 20<strong>11</strong>. 3


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>List of TablesTable 2.1. Beach area specified in the CEAR <strong>and</strong> monitored each year .................................9Table 2.2. Limits of Detection (LoD) of given radioisotopes by Evolution 2 gamma-photondetection system- <strong>for</strong> finds on the surface <strong>and</strong> at 10 cm below the surface.............................9Table 2.3. Beach find rates 2006-<strong>2010</strong> (particles <strong>and</strong> stones)...............................................<strong>11</strong>Table 2.4. Numbers of Particles <strong>and</strong> Stones recovered 2006-<strong>2010</strong>.......................................<strong>11</strong>Table 2.5. Numbers of alpha-rich, beta-rich <strong>and</strong> 60 Co rich Particles recovered 2006-<strong>2010</strong> ...12Table 2.6. Analyses carried out on particles since 2006 by NPL ...........................................13Table 3.1. Total hectares monitored <strong>for</strong> each beach during the <strong>2010</strong>/<strong>11</strong> monitoringprogramme. ............................................................................................................................19Table 3.2. Total particle <strong>and</strong> stone beach finds during the <strong>2010</strong>/<strong>11</strong> monitoring programme. 19Table 3.3. Beach find rates (finds per hectare) throughout the history of the monitoringprogramme. ............................................................................................................................24Table 3.4. Changes in find classification since 2006..............................................................27Table 3.5. Find classification showing the types of beach finds recovered on beachessurrounding <strong>Sellafield</strong>.............................................................................................................28Table 3.6. Find numbers <strong>and</strong> activities by category <strong>and</strong> monitoring technique......................35Table 3.7. Alpha-rich sub-group numbers ..............................................................................40Table 3.8. Basic statistics <strong>for</strong> actinide activities based on log normally distributed data........47Table 3.9. Basic statistics data in 3.8 converted from the natural log values back to activities................................................................................................................................................48Table 3.10. Beta-rich Caesium Isotope Decay Factors..........................................................49Table 3.<strong>11</strong>. Beta-rich Find Estimates. ....................................................................................49Table 3.12. Basic statistics <strong>for</strong> 137 Cs activities based on log normally distributed data..........52Table 3.13. Basic statistics data in Table 3.12 converted from the natural log values back toactivities..................................................................................................................................52Table 3.14. f 1 factors derived by HPA in-vivo intestinal absorption study. .............................56Table 3.15. Overlap find numbers summary <strong>for</strong> <strong>Sellafield</strong> beach monitoring in <strong>2010</strong>/<strong>11</strong>. ......58Table 3.16. Be<strong>for</strong>e Overlap Survey Analysis <strong>for</strong> Finds within Equipment LOD Range. .........58Table 3.17. Statistical techniques report recommendations...................................................59Table 3.18. Statistical sampling report recommendations......................................................62Table 7.1. Repeat areas <strong>for</strong> the 20<strong>11</strong>/12 beach monitoring programme................................96Table 7.2. Recommendations from BPM assessment. ........................................................105List of FiguresFigure 2.1. Location of the main beach areas in the vicinity of <strong>Sellafield</strong>.................................8Figure 3.1. NUVIA’s Beach monitoring Softrak vehicle ..........................................................18Figure 3.2. <strong>2010</strong>/<strong>11</strong> Monitoring extent from Drigg Point to St Bees .......................................20Figure 3.3. <strong>2010</strong>/<strong>11</strong> Monitoring extent from Whitehaven Harbour to Harrington....................21Figure 3.4. The distribution of particle <strong>and</strong> stone beach finds throughout the <strong>2010</strong>/<strong>11</strong>monitoring programme. ..........................................................................................................22Figure 3.5. The distribution of particle <strong>and</strong> stone beach finds on Braystones <strong>and</strong> <strong>Sellafield</strong>beach throughout the <strong>2010</strong>/<strong>11</strong> monitoring programme. .........................................................25Figure 3.6. Changes in year on year find rate at beaches closest to <strong>Sellafield</strong>......................26Figure 3.7. Changes in find classification since 2006. ...........................................................27Figure 3.8. Geographic location of recovered alpha-rich <strong>and</strong> beta-rich throughout the <strong>2010</strong>/<strong>11</strong>programme (excluding Whitehaven, Parton, Harrington <strong>and</strong> Allonby). ..................................29Figure 3.9. Location of recovered alpha-rich <strong>and</strong> beta-rich finds at <strong>Sellafield</strong> <strong>and</strong> Braystonesin <strong>2010</strong>/<strong>11</strong>...............................................................................................................................30Figure 3.10. Location of recovered alpha-rich <strong>and</strong> beta-rich finds at St Bees in <strong>2010</strong>/<strong>11</strong>......31© Nuclear Decommissioning Authority 20<strong>11</strong>. 4


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Figure 3.<strong>11</strong>. Diagram Representing Find Population number ................................................38Figure 3.12. Radiological Classification in the Find Population..............................................38Figure 3.13. Histogram of Log Normally Transposed Alpha Rich Particle 241 Am Activities <strong>for</strong>separate Evolution 2 <strong>and</strong> Synergy Monitoring Periods. .........................................................40Figure 3.14. Alpha-rich Find Subgroups Based on their Actinide Activity Ratios ...................41Figure 3.15. Alpha-rich Find Subgroups without Error Bars...................................................42Figure 3.16. Separate Evolution 2 <strong>and</strong> Synergy 241 Am Activity Histogram.............................43Figure 3.17. Combined Evolution 2 <strong>and</strong> Synergy 241 Am Activity Histogram...........................43Figure 3.18. 239 Pu Activity Histogram. ....................................................................................44Figure 3.19. 238 Pu Activity Histogram. ....................................................................................44Figure 3.20. Probability Plot of Log of 241 Am Particle Activity (no LOD values in data set)....45Figure 3.21. Probability Plot of Log of 239 Pu Particle Activity (positive data only). .................45Figure 3.22. Probability Plot of Log of 238 Pu Particle Activity (positive data only). .................46Figure 3.23. Probability Plot of Log of 241 Am Activity <strong>for</strong> Particles found at the S<strong>and</strong> Surface................................................................................................................................................47Figure 3.24. 137Cs Stone Activity Histogram.........................................................................50Figure 3.25. 137 Cs Particle Activity Histogram. .......................................................................50Figure 3.26. Probability plot of Log of 137 Cs Stone Activity.....................................................51Figure 3.27. Probability plot of Log of 137 Cs Particle Activity. .................................................51Figure 3.28. SEM Image of part A of beta-rich particle IM090340. ........................................54Figure 3.29. Possible structures <strong>for</strong> alpha-rich particles. .......................................................55Figure 3.30. Alpha-rich Particle Find Distances from the <strong>Sellafield</strong> pipeline. .........................57Figure 3.31. Find Overlap Outcomes. ....................................................................................58Figure 3.32. Swath bathymetry along in the Cumbrian coastline within the Fledermaus 3Dvisualisation software. The position of the pipe (black line) <strong>and</strong> the navigation buoys (redcubes) are shown. ..................................................................................................................66Figure 3.33. Plessey M021 current meter. Source: NOAA (National Oceanic <strong>and</strong>Atmospheric Administration) Photo Library <strong>and</strong> the Oceanographic Museum of Monaco.Photographer: Y. Berard. .......................................................................................................68Figure 3.34. Aquadopp <strong>and</strong> l<strong>and</strong>ing frame being deployed from the <strong>Sellafield</strong> <strong>Ltd</strong> vessel,Eagle. .....................................................................................................................................69Figure 4.1. In<strong>for</strong>mation leaflet produced by SL to advise local residents <strong>and</strong> visitors on thebeach monitoring programme. ...............................................................................................77Figure 7.1. 20<strong>11</strong>/12 Beach Monitoring <strong>Programme</strong> ...............................................................99Figure 7.2. St Bees beach repeat area <strong>for</strong> 20<strong>11</strong>/12. ............................................................100Figure 7.3. Braystones beach repeat areas <strong>for</strong> 20<strong>11</strong>/12. .....................................................101Figure 7.4. <strong>Sellafield</strong> beach repeat areas <strong>for</strong> 20<strong>11</strong>/12. ........................................................102Figure 7.5. Seascale beach repeat area <strong>for</strong> 20<strong>11</strong>/12 ...........................................................103Figure 7.6. Target area <strong>for</strong> the grab sampling work showing the position of the sea pipelines<strong>and</strong> the location of the Aquadopp current profiler deployed to the north of the diffusers fromJune <strong>2010</strong> to February 20<strong>11</strong> ................................................................................................109Figure 7.7. Draft Task Sheet <strong>for</strong> work to progress offshore monitoring................................<strong>11</strong>1Figure 8.1. <strong>Programme</strong> of works ..........................................................................................<strong>11</strong>5© Nuclear Decommissioning Authority 20<strong>11</strong>. 5


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>1. IntroductionAs part of <strong>Sellafield</strong> <strong>Ltd</strong>’s environmental monitoring programme, several streams of workhave been undertaken to underst<strong>and</strong> the nature of radioactive particles that have beendetected on local beaches <strong>and</strong> to quantify the health risk they pose. This report provides thebackground to these work streams, details the progress that has been made in <strong>2010</strong>/<strong>11</strong> <strong>and</strong>sets out the intended programme of work <strong>for</strong> 20<strong>11</strong>/12 <strong>and</strong> beyond. In previous yearsseparate reports were produced <strong>for</strong> the beach monitoring <strong>and</strong> offshore monitoringprogrammes; both streams of work are covered in this report.Section 2 provides broad background to the work. It explains why particles are beingmonitored in the environment, what work has been undertaken to date <strong>and</strong> how the level ofrisk has been assessed.Section 3 provides detailed in<strong>for</strong>mation on progress made in <strong>2010</strong>/<strong>11</strong> <strong>for</strong> the beachmonitoring <strong>and</strong> offshore monitoring programmes <strong>and</strong> work undertaken to support theassessment of risk. Physical <strong>and</strong> chemical analysis of items recovered from the beaches,investigations into the likely source(s) <strong>and</strong> pathway(s) of the finds, statistical techniques <strong>for</strong>interpreting the data generated from beach monitoring, as well as research <strong>and</strong> developmentactivities are considered.Section 4 explains how the regulators <strong>and</strong> stakeholders have been engaged by <strong>Sellafield</strong> <strong>Ltd</strong>in the work streams so far <strong>and</strong> the framework <strong>for</strong> future interactions.Section 5 summarises the work done to assess the health risk posed by beach finds, whichhas been led by the HPA, how <strong>Sellafield</strong> <strong>Ltd</strong> are responding to the HPA’s recommendations,<strong>and</strong> outlines how this assessment will be updated as new data becomes available.Section 6 discusses the progress made against the original aims <strong>and</strong> objectives of the workstreams <strong>and</strong> how these have been developed, based on results <strong>and</strong> stakeholder input, into arevised set of objectives.Section 7 outlines the programme of work <strong>for</strong> 20<strong>11</strong>/12, arranged under the key objectives.Specifically, this covers the beach monitoring programme, offshore characterisation ofparticles, analysis of beach finds, statistical interpretation of data, managementarrangements <strong>and</strong> a summary of the estimated costs <strong>for</strong> the 20<strong>11</strong>/12 financial year. Howeach work stream represents BAT (Best Available Technique) is also considered.Section 8 outlines the programme of works to meet the key objectives.© Nuclear Decommissioning Authority 20<strong>11</strong>. 6


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>2. Background2.1 Origin of the large area beach monitoring programme<strong>Sellafield</strong> <strong>Ltd</strong> has been monitoring beaches on a limited scale since 1983 following beachcontamination caused by an abnormal effluent discharge. Surveys using h<strong>and</strong>-held detectorshad been focused on the most recent tide <strong>and</strong> debris line near the top of the beach (referredto as the “str<strong>and</strong>line”).In 2003, the routine str<strong>and</strong>line monitoring detected a particle of comparatively high activity,exhibiting approximately 3000 cps, high contact dose rates <strong>and</strong> a significant amount of 90 Sr(a beta-emitting radioisotope produced during nuclear fission), approximately 700 m north ofthe Sea pipelines. This was the first beach find since 1993.Triggered by the 2003 particle, the Environment Agency asked SL to trial more sensitivevehicle-mounted detection equipment, capable of monitoring large areas of beach. Modellingwork by Westlakes Scientific Consulting (WSC) predicted that any particles released from theend of the sea pipelines, the most obvious potential pathway by which particles from<strong>Sellafield</strong> could enter the environment, would be deposited on beaches between <strong>Sellafield</strong><strong>and</strong> Braystones <strong>and</strong> as a result of local sea currents (Vives Lynch, 2006) There<strong>for</strong>e, in2006/7, a trial was conducted on beaches near <strong>Sellafield</strong> <strong>and</strong> Braystones (total of 14.4 ha).The trial detected populations of radioactive particles <strong>and</strong> led SL to establish an annual largearea beach monitoring programme to include monitoring of the seabed. Beaches weredefined using their commonly used names <strong>and</strong> natural breaks in the area of s<strong>and</strong> or shingle.A map showing the beaches referred to throughout this report is presented in Figure 2.1. The2007/8 beach programme monitored 150 ha of beaches from Parton to Drigg Point, withh<strong>and</strong>-held monitoring used where the terrain was inaccessible to the Hillcat vehicle. A limitedamount of monitoring was also completed further north at Goat Well Bay <strong>and</strong> SouthernessPoint in the Solway Firth to bound the spatial extent of beach finds <strong>and</strong> address the concernsof the Scottish Environmental Protection Agency (SEPA) that the Scottish coastline was notaffected.In subsequent years the beach survey areas were agreed in advance with the EA <strong>and</strong> writteninto the Compilation of EA Requirements (CEAR). In 2008/9 the total area was increased to250 ha, to reflect the large number of finds recovered <strong>and</strong> the maximum area that might berealistically surveyed with full-time deployment of one monitoring vehicle. In 2009/10, again250 ha was initially agreed with the EA. An additional 15 ha was added to providereassurance at two beaches with higher public occupancy- St Bees <strong>and</strong> Silecroft. For<strong>2010</strong>/<strong>11</strong> a further 250 ha programme was agreed with the EA.The areas specified by the CEAR refer to the total new area covered during each visit toeach beach (e.g. 2 week period), such that any overlap in area within each visit is notcounted. In practice significant areas of beach are resurveyed within each visit but on asubsequent tide cycle (e.g. after the tide has come in <strong>and</strong> gone back out). Table 2.1 below,shows the total areas covered without overlap included since the start of the programme.© Nuclear Decommissioning Authority 20<strong>11</strong>. 7


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Figure 2.1. Location of the main beach areas in the vicinity of <strong>Sellafield</strong>.© Nuclear Decommissioning Authority 20<strong>11</strong>. 8


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Table 2.1. Beach area specified in the CEAR <strong>and</strong> monitored each yearFinancial CEAR Actual area coveredYear (ha)(ha)*Beaches surveyed2006/7 N/A 14.4 Braystones, <strong>Sellafield</strong>2007/8 150 205 Goat Well Bay, Southerness Point, Parton,Whitehaven, St Bees, Braystones,<strong>Sellafield</strong>, Seascale, Drigg2008/9 250 353 Allonby, Workington, St Bees, Braystones,<strong>Sellafield</strong>, Seascale, Drigg2009/10 265 354 St Bees, Nethertown, Braystones,<strong>Sellafield</strong>, Seascale, Drigg, Silecroft<strong>2010</strong>/<strong>11</strong> 250 319 St Bees, Braystones, <strong>Sellafield</strong>, Seascale,Drigg20<strong>11</strong>/12 150 N/A Allonby, Harrington, Parton, Whitehaven,St Bees, Nethertown, Braystones,<strong>Sellafield</strong>, Seascale, Drigg*With at least a tide between overlapping areas.2.2 Beach monitoring methodsSpecialist equipment, developed by Nuvia initially to meet the requirements of Dounreay, isused <strong>for</strong> the large area beach monitoring. An array of detectors is carried by a vehiclecapable of driving on the beach. Originally this was an eight wheeled vehicle (Hillcat) but thiswas replaced in 2009 with the Softrak vehicle which allows <strong>for</strong> a heavier load of detectors,more specifically addressing the situation at <strong>Sellafield</strong>.The NUVIA system was very efficient at detecting radionuclides thatemit medium to high energy gammas (e.g. 137 Cs, 60 Co etc.) over find depths in s<strong>and</strong> down to50 cm. It was also demonstrated to be effective <strong>for</strong> lower energy gammas (e.g. from 241 Am)but with some limitations on detection depth. With the turnover of s<strong>and</strong> due to tidal action <strong>and</strong>the repeat monitoring of the sensitive areas this detection system was judged to be capableof providing data that can be used to give a realistic assessment of the population of gammaemitting particles. Using this system, particles containing either pure beta emitters or mainlyalpha emitters could only be detected if they emitted sufficient gamma radiation.The detection capability of Evolution 2 is given in Table 2.2. More details of the monitoringequipment used can be found in Nuvia’s <strong>2010</strong>/<strong>11</strong> <strong>Annual</strong> <strong>Report</strong> (Hall, <strong>2010</strong>).Table 2.2. Limits of Detection (LoD) of given radioisotopes by Evolution 2 gamma-photondetection system- <strong>for</strong> finds on the surface <strong>and</strong> at 10 cm below the surfaceLimit of Detection137 Cs (Bq)60 Co (Bq)90 Sr/Y (Bq)241 Am (Bq)95% Confidence Typical Worst Typical Worst Typical Worst Typical WorstIntervalcase case case case case case case caseOn surface 9.00E+03 1.5E+04 4.00E+03 9.00E+03 1.50E+05 2.50E+05 4.00E+04 8.00E+04At 50 cm 4.00E+04 5.50E+04 1.50E+04 2.50E+04 5.50E+05 9.50E+05 4.00E+06 9.00E+06© Nuclear Decommissioning Authority 20<strong>11</strong>. 9


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>In August 2009, the detection system was introduced. This systemincluded the original setup plus 8 FIDLER (Field Instrument <strong>for</strong> theDetection of Low-Energy Radiation) detectors. This enabled improved detection of pure betaemitters, such as 90 Sr/Y <strong>and</strong> low energy gamma emitting alpha-rich particles, such as 241 Am.A detailed field calibration of the both systems (Evolution 2 <strong>and</strong> Synergy) took place on Driggbeach in October 2009 (Beddow <strong>2010</strong>a, b). For the Synergy system it was found that a 100kBq 137 Cs particle could reliably be detected to a depth of 200 mm <strong>and</strong> a 100 kBq 60 Coparticle to a depth of 300 mm. A 1000 kBq 137 Cs particle could reliably be detected to a depthof 400 mm <strong>and</strong> a 1000 kBq 60 Co particle could be detected to a depth of 400 mm. The mainconclusions were that the Synergy system could provide reliable detection <strong>for</strong>:10 kBq 137 Cs <strong>and</strong> 60 Co surface particles.10 kBq 60 Co particles to a depth of 100 mm.100 kBq 241 Am surface particles.1000 kBq 241 Am to 50 mm depth.1000 kBq 90 Sr/Y surface particles2.3 Beach monitoring findings to date2.3.1 LocationsSince the programme started in 2006, <strong>Sellafield</strong> beach has consistently been the area ofhighest numbers of finds, followed by Braystones beach. The distribution of finds is heavilyskewed to beach areas north of the <strong>Sellafield</strong> sea discharge pipeline, as expected from thenortherly sea currents. Approximately 50% of the finds were located within the first 0.5kilometre north of the <strong>Sellafield</strong> pipeline. Find numbers decline sharply south of Seascale,<strong>and</strong> north of St Bees Head. The distribution is generally similar <strong>for</strong> alpha-rich <strong>and</strong> beta richparticles (see definitions below).The most northerly particle find was at Allonby, <strong>and</strong> the most southerly at the south end ofDrigg beach. No particles have been found further north <strong>and</strong> south of these locationsrespectively, during the monitoring that has been carried out beyond these locations.A limited amount of monitoring has been carried out on beach areas at Nethertown <strong>and</strong>Coulderton (between Braystones <strong>and</strong> St Bees); the rocky nature of the beaches means thatthe monitoring vehicle is unable to access these areas.2.3.2 Find ratesTo examine any potential changes in the number of beach finds recovered, it is important toconsider the total area monitored in order to calculate a find rate, i.e. finds per hectare.A comparison of finds recovered since 2006/7 shows that the total find rate has varied overtime (Table 2.3). Find rates at St Bees, Seascale <strong>and</strong> Drigg have decreased year on yearsuggesting that finds are being recovered quicker than they are being replaced. AtBraystones, find rates had decreased until 2009/10 when they were the highest since2006/7. At <strong>Sellafield</strong>, find rates peaked in 2007/8, decreased in 2008/9 be<strong>for</strong>e rising to asimilar level to that in 2006/7 in 2009/10.However, care is needed when interpreting these rates because the number of visits to eachbeach within a given year, <strong>and</strong> there<strong>for</strong>e the interval between visits is not consistent. It is alsoto be expected that fresh areas of beach can be created or exposed after storm events, so© Nuclear Decommissioning Authority 20<strong>11</strong>. 10


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>the time of the visit may be important. Furthermore, in August 2009, the Evolution 2 detectionsystem was replaced with the Synergy system with its better capability <strong>for</strong> detecting itemscontaining either pure beta emitters or mainly alpha emitters by their low energy gammaemission.Table 2.3. Beach find rates 2006-<strong>2010</strong> (particles <strong>and</strong> stones)MonitoringFind rate (finds per hectare)area 2006/07 2007/08 2008/09 2009/10St Bees – 0.214 0.077 0.059Braystones 0.334 0.158 0.<strong>11</strong>5 1.043<strong>Sellafield</strong> 1.671 4.003 1.747 2.181Seascale – 0.209 0.188 0.176Drigg – 0.254 0.051 0.000All 0.835 1.725 0.692 0.6812.3.3 Find sizesItems recovered from the beach range in size, from tens of microns to large stones. Prior tothe 2008/9 programme, any finds recovered from the beaches surrounding <strong>Sellafield</strong> weredescribed as either stones, particles or pebbles (i.e. rounded stones). Deciding whether afind was a pebble or a stone was open to interpretation so from the 2008/9 monitoringprogramme the pebble classification was removed. At the same time, the st<strong>and</strong>ard sedimentclassification system was applied to the beach finds; anything less than 2 mm in diameter(upper limit <strong>for</strong> s<strong>and</strong> grains) was classed as a particle <strong>and</strong> anything larger than or equal to 2mm as a stone. This classification allows a foundation on which to judge the potential <strong>for</strong> a“particle” to be ingested, inhaled or adhere to the skin. However, this is based on a visualassessment following coarse separation <strong>and</strong> there will always be some ambiguity <strong>for</strong> findsaround 2 mm in size unless they are sent <strong>for</strong> detailed analysis.Contaminated stones have mainly been found within a few hundred metres north of the<strong>Sellafield</strong> pipeline. The furthest a stone has been recovered from the pipeline isapproximately 2.5 km at the northern end of <strong>Sellafield</strong> beach. Two stones have been foundon Seascale beach, the furthest south being approximately 2.5 km south of the pipeline.Table 2.4. Numbers of Particles <strong>and</strong> Stones recovered 2006-<strong>2010</strong>MonitoringareaNumber of finds2006/07 2007/08 2008/09 2009/10Particles Stones Particles Stones Particles Stones Particles StonesSt Bees – – 6 0 3 0 4 0Braystones 3 0 2 0 4 0 68 0<strong>Sellafield</strong> 4 5 129 204 79 141 102 50Seascale – – 7 0 10 3 17 0Drigg – – 5 0 2 0 0 0Allonby – – – – 1 0 – –Workington – – – – 1 0 – –All 7 5 149 204 100 144 191 50© Nuclear Decommissioning Authority 20<strong>11</strong>. <strong>11</strong>


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>2.3.4 Find classificationAll finds are recovered <strong>and</strong> returned to <strong>Sellafield</strong> site <strong>for</strong> analysis in the laboratory usinggamma spectrometry. This measures the key radionuclides that are detected by theEvolution/Synergy system ( 137 Cs <strong>and</strong> 241 Am) <strong>and</strong> any other significant radionuclides (e.g.60 Co, 106 Ru). Finds with positive analytical results are broadly classified into alpha- or betarich:Finds with 241 Am activity greater than 137 Cs activity are classified as “alpha-rich”;Finds with 137 Cs activity greater than 241 Am activity are classified as “beta-rich”.Following the introduction of the Synergy monitoring system during the 2009/10 monitoringprogramme, which is more effective at detecting low energy alpha <strong>and</strong> pure beta emittersthan Evolution 2, the number of “alpha-rich” finds being recovered, particularly from <strong>Sellafield</strong><strong>and</strong> Braystones beaches, increased.A comparison of finds detected by the Synergy system (NaI detectors plus FIDLER probes)<strong>and</strong> those that would have detected using the Evolution 2 system (i.e. NaI detectors only)revealed that there would have been 55 fewer beach finds during 2009/10 if Synergy had notbeen introduced in August 2009 (D’Souza, <strong>2010</strong>). The vast majority of the extra 55 findswhich Synergy detected were characterised as alpha-rich, reflecting the capability of Synergyto detect lower energy finds. Interpretation of this improvement is complicated because theSynergy system also introduced a carbon fibre detection box which also appears to havemade the NaI detectors more efficient.The number of beta-rich finds recovered has decreased from 322 in 2007/8, to 220 in 2008/9<strong>and</strong> 94 in 2009/10 despite the same total area being monitored (approximately 250 ha). Thecontinued reduction in 2009/10 is even more significant because of the use of more sensitivedetection equipment (Synergy). In addition to the alpha <strong>and</strong> beta rich find classification, a total of 12 finds have beenallocated a 60 Co rich classification since 2006. A 60 Co rich find is defined as a particle orstone where the 60 Co activity is positive <strong>and</strong> greater than the 137 Cs activity (but notnecessarily greater than 241 Am).Generally, 60 Co activity in the nuclear industry is associated with neutron activation of steelcomponents of the reactor fuel or its support structure. Superficially, this might appear tooffer an easier route <strong>for</strong> identifying the time <strong>and</strong> source of the release into the environment.In reality, however, the complexity of fuel h<strong>and</strong>ling <strong>and</strong> reprocessing operations together withsubsequent effluent treatment makes a definitive assessment very difficult.Table 2.5. Numbers of alpha-rich, beta-rich <strong>and</strong> 60 Co rich Particles recovered 2006-<strong>2010</strong>ClassificationNumber of Particles2006/07 2007/08 2008/09 2009/10Alpha-rich 1 31 24 140Beta-rich 6 <strong>11</strong>7 74 4660 Co rich 0 5 2 5© Nuclear Decommissioning Authority 20<strong>11</strong>. 12


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>2.3.5 Analysis of findsFollowing the initial analysis of the finds at the <strong>Sellafield</strong> <strong>Ltd</strong> analytical laboratory, threeseparate batches of finds have been sent to the National Physical Laboratory (NPL) <strong>for</strong>detailed analysis. NPL provide more in-depth in<strong>for</strong>mation about their chemical/mineralcomposition, associated dose rates, isotopic composition, structure <strong>and</strong> potential bioavailabilityof the associated radioisotopes upon ingestion. Analysis methods have included:contact dose rates, gamma spectrometry, Scanning Electron Microscopy/Energy DispersiveX-Ray Spectroscopy (SEM/EDX), dissolution <strong>and</strong> leaching behaviour in seawater <strong>and</strong>simulated human gut fluid. Separate studies were also conducted by HPA to determine thelikely uptake of activity in the human gut following ingestion. The uptake fraction of 238 Pu,239 Pu / 240 Pu <strong>and</strong> 241 Am <strong>for</strong> ten alpha rich particles measured in rats has been used by theHPA in their assessment of overall risk (Brown <strong>and</strong> Etherington, 20<strong>11</strong>).The analysis carried out from 2006 to date is summarised in Table 2.6. The results havebeen used by the HPA to demonstrate that the overall risk posed by both the alpha <strong>and</strong> betarichparticles is acceptable (see Section 5 <strong>for</strong> a full explanation). The Plutonium <strong>and</strong>Americium isotope analysis <strong>and</strong> physical <strong>and</strong> chemical properties have been used by the SLParticles Sources <strong>and</strong> Pathways Working Group (PSPWG) to determine a likely c<strong>and</strong>idatesource process <strong>for</strong> the alpha-rich particles (see below).Table 2.6. Analyses carried out on particles since 2006 by NPLType of AnalysisParticle Numbers AnalysedAlpha rich Beta richGamma spectrometry* 154 293Instrument dose rates 20 60TLD dose rates 20 60Mass 27 59Volume 23 41Density 19 57Scanning Electron Microscopy 33 62Energy Dispersive X-Ray 33 62Dissolution 23 55Pu isotopes 23Sr-90 8 54Tc-99 8 19Metals 8*Includes several analyses originating from the same particle, e.g. initial characterisation,after a seawater leach, after simulated gut dissolution <strong>and</strong> total dissolution.2.4 Sources <strong>and</strong> Pathways of beach findsAn assessment of the source <strong>and</strong> pathway of alpha-rich finds was co-ordinated by specialistsfrom the <strong>Sellafield</strong> <strong>Ltd</strong> central Environmental Management team, utilising the operationalknowledge <strong>and</strong> experience of representatives from key production, legacy <strong>and</strong> wastemanagement facilities on the <strong>Sellafield</strong> site (e.g. Magnox, Thorp, liquid effluent treatmentplants etc.), through the <strong>for</strong>mation of the Particle Source & Pathway Working Group in 2007.Alpha-rich finds which contained sufficient actinide isotope concentrations had their agesestimated based on the relative decay of 239 Pu <strong>and</strong> 241 Pu, burn-up <strong>and</strong> cooling assumptions© Nuclear Decommissioning Authority 20<strong>11</strong>. 13


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>as well as the type of fuel reprocessed (isotope ratios <strong>for</strong> each find were compared with fuelinventory data corresponding to the Magnox <strong>and</strong> oxide fuels reprocessed at <strong>Sellafield</strong> since1964). Age estimates were then compared with the operational records to check that theburn-up assumption used was consistent with fuels reprocessed at that time. The ageingmethodology has been independently peer-reviewed by the National Nuclear Laboratory <strong>and</strong>found to be “fit <strong>for</strong> purpose” (Groves <strong>and</strong> Little, <strong>2010</strong>).This work has been very resource-intensive <strong>and</strong> it has taken many months to complete.Hence, the first report was only completed in the second half of <strong>2010</strong> (Hackney, <strong>2010</strong>). Theconclusions were:Based on radiochemical, chemical <strong>and</strong> physical characterisation of beach finds <strong>and</strong>review of historic site practices <strong>and</strong> processes, the source of alpha-rich findsanalysed up to March 2009) is reprocessing of Magnox <strong>and</strong> oxide fuels on the<strong>Sellafield</strong> site between the late-1960s <strong>and</strong> early 1980s. Particles could have beenreleased prior to the late-1960s but the low burnups of fuels processed in this periodwould not have yielded sufficient actinide activities to enable their detection on thebeaches.There is no evidence to link the beach finds with current reprocessing operations (i.e.Magnox or Thorp). This is supported by results from a programme of on-site workinvestigating solids exclusion in the site’s operational liquid effluent systems. To date,the analysis of multiple liquid samples across the main effluent systems on site hasnot identified the presence of any discrete active particles.The alpha-rich particles are not fragments of fuel, but most likely combinations ofnaturally-occurring beach material (e.g. silt, s<strong>and</strong>) <strong>and</strong> alpha-rich ferric hydroxideflocs produced through neutralisation of aqueous raffinates. These solids weredischarged to the Irish Sea with little or no abatement, in accordance with theRadioactive Substances Act 1960 authorisation at that time. Particles may have beenreleased into the environment shortly after their production or during the removal ofthe old sea lines between the early 1990s <strong>and</strong> 2006.Determining the source of beta-rich particles is more difficult because age estimates using137 Cs: 134 Cs ratios are restricted because 137 Cs is at LOD in a large proportion of finds. It isthere<strong>for</strong>e only possible to say that finds are older than a certain age. Identifying potentialsources is also difficult because the particles exhibit a wide range of physical appearances<strong>and</strong> elemental compositions (from EDX). A sub-group of metallic beta rich particles has beenidentified by the analysis which may offer some potential <strong>for</strong> identification of source material.To that end the <strong>2010</strong>/<strong>11</strong> analysis programme included <strong>for</strong>ensic work to try <strong>and</strong> improve thequality of the estimates of elemental metal compositions.The presence or absence of 90 Sr rich particles has been a key driver <strong>for</strong> the analysis workbecause the 2003 find was almost pure 90 Sr particle. The presence of 90 Sr/Y is alsosignificant because of the high dose they can cause. A further 20 beta rich, potential 90 Sr,particles were analysed <strong>for</strong> 90 Sr in 2009/10. The combined results available from both the SLlaboratory <strong>and</strong> the Serco/NPL contract gave a maximum 90 Sr activity of 5E+04 Bq with anaverage activity of 3E+03 Bq, <strong>for</strong> those with positive results. The 90 Sr to 137 Cs ratio ranged <strong>for</strong>0.04 to 0.91, with approximately half of the finds having a 90 Sr activity greater than 10% ofthe 137 Cs activity. Although only 51 90 Sr analysis results are available, the 47 values abovethe limit of detection would suggest that the non-destructive testing results are sufficient tojudge the 90 Sr potential. As a further 17 beta-rich finds are current undergoing destructivetesting a decision on the need <strong>for</strong> further destructive testing will be made when their resultsare available (i.e. expected in September 20<strong>11</strong>).© Nuclear Decommissioning Authority 20<strong>11</strong>. 14


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>2.5 Offshore monitoringIn 2008 the EA specified that, .Subsequently, in April 2009 the EA revised the offshore requirement <strong>and</strong> specified thefollowing:<strong>Sellafield</strong> <strong>Ltd</strong> has been working on developing a risk-based approach to the work, withsignificant input from relevant Agencies (Food St<strong>and</strong>ards Agency, Health Protection Agency<strong>and</strong> Environment Agency) through the establishment of the <strong>Sellafield</strong> Sea-bed MonitoringWorking Group in 2009.Particle transport <strong>and</strong> dispersion modelling <strong>for</strong> the <strong>Sellafield</strong> marine environment was carriedout by CEFAS in 2009. It was agreed in February <strong>2010</strong> by the Working Group that the modelrequired further development <strong>and</strong> data to validate it (e.g. sediment mixing depth) be<strong>for</strong>e itcould be confidently used to in<strong>for</strong>m seabed monitoring.SL have collected more in<strong>for</strong>mation from the offshore environment (bathymetry data obtainedfrom LLWR, measurements of current profiles <strong>and</strong> wave parameters), so that a higherresolution particle transport <strong>and</strong> dispersion model can be developed. Research has alsotaken place into Woodhead drifters <strong>and</strong> particle tracer releases to help underst<strong>and</strong> themovement of particles in the sea. Parallel to this, a range of seabed monitoring <strong>and</strong> samplingtechniques are being investigated (e.g. ROV, dredging, grab sampling, coring etc). Moredetails are provided in Section 3.3.Dounreay Site Restoration <strong>Ltd</strong> (DSRL) is continuing to deploy Remotely Operated Vehicletechnology to deliver their requirements to monitor <strong>and</strong> retrieve radioactive particles (mainly137 Cs) at Dounreay. <strong>Sellafield</strong> <strong>Ltd</strong> has continued to liaise with DSRL to discuss progress.Currently, the ROV is not deemed suitable <strong>for</strong> use at <strong>Sellafield</strong> because of its capability todetect alpha-rich material has not been proven.2.6 Risk AssessmentThe main aim of the beach monitoring programme has always been to establish <strong>and</strong>minimise health risks to the public where practicable. Since the start of large area beachmonitoring in 2006 <strong>Sellafield</strong> <strong>Ltd</strong> has provided the EA <strong>and</strong> the HPA with all the availablemonitoring <strong>and</strong> analysis data it has acquired to enable risks to be assessed. In 2007 the HPAgave their first <strong>for</strong>mal advice:© Nuclear Decommissioning Authority 20<strong>11</strong>. 15


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>The monitoring <strong>and</strong> analysis data were reviewed at joint regulator workshops on 28 June2007 <strong>and</strong> 25 November 2008. These workshops concluded that the alpha rich particles aremost significant regarding assessment of risks to members of the public. Prior to the start ofthe 2009/10 monitoring programme, the HPA had reviewed all the available data <strong>and</strong> advisedthat their original advice remained valid.In May 2008, the EA asked HPA to undertake a detailed assessment of the health risks topeople using the beaches along the Cumbrian coast from contaminated objects on thebeaches. The resulting report has recently been published (April 20<strong>11</strong>). The assessmentaddressed the likelihood that people using the beaches <strong>for</strong> various activities could come intocontact with a radioactive object <strong>and</strong>, in the unlikely event that an individual does come intocontact with such an object, what the resulting radiation doses <strong>and</strong> associated health riskswould be.The report concluded that the overall health risks <strong>for</strong> beach users are very low, <strong>and</strong>significantly lower than other risks that people accept when using the beaches (such asdrowning) <strong>and</strong> reaffirmed the original advice given in 2007 that, “no special precautionaryactions are required at this time to limit access to or use of the beaches”.In a letter from HPA to EA in April 20<strong>11</strong> it was stated that, “”More details about the assessment of risk (dose) to members of the public <strong>and</strong> how risk willcontinue to be assessed as new data becomes available are presented in Section 5.© Nuclear Decommissioning Authority 20<strong>11</strong>. 16


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>3. Progress during <strong>2010</strong>/<strong>11</strong>3.1 Beach Monitoring <strong>2010</strong>/<strong>11</strong>This section presents the results of the <strong>Sellafield</strong> beach monitoring programme in <strong>2010</strong>/<strong>11</strong>. Inprevious years a separate report has been produced <strong>for</strong> beach monitoring. These areavailable on the EHS&Q Environment pages at www.sellafieldsites.com.3.1.1 IntroductionThe report is limited to the large area beach monitoring that was first introduced in 2006. Themonitoring is carried out by NUVIA <strong>Ltd</strong> on behalf of <strong>Sellafield</strong> <strong>Ltd</strong> (SL). The report does notcover the str<strong>and</strong>line monitoring that has been carried out routinely by SL since 1984(reported regularly to Environment Agency (EA) along with the rest of the <strong>Sellafield</strong> statutoryenvironmental monitoring programme). This report presents in<strong>for</strong>mation on the number offinds, their frequency per hectare <strong>and</strong> their distribution on beaches surrounding <strong>Sellafield</strong>. Itpresents the latest conclusions on the likely sources of finds <strong>and</strong> the risks they pose to thegeneral public.3.1.2 Beach monitoring programme specification <strong>for</strong> <strong>2010</strong>/<strong>11</strong>The current beach monitoring objectives are as follows;1. Determination of the risks to members of the public.2. Identification of the source(s) of the particles.3. Determination of a long term monitoring programme that represents Best PracticableMeans (BPM).4. Retrieve particles to allow comprehensive analytical screening to in<strong>for</strong>m on thehazard from particles in the environment.5. To underst<strong>and</strong> the full range of activity of particles in the environment.6. To underst<strong>and</strong> the distribution of particles in the environment (including seabed).7. To reassure beach users that monitoring has been undertaken <strong>and</strong> particles havebeen promptly detected <strong>and</strong> removed.To meet these objectives, the Environment Agency (EA) has placed a statutory monitoringrequirement on SL to deliver a large scale beach monitoring programme. This is part of anagreed programme of works specified in the current Compilation of Environment AgencyRequirements (Paragraph 21 from CEAR 1/19/09 Issue 1 (0104<strong>11</strong>)):3.1.3. Achievement of the <strong>2010</strong>/<strong>11</strong> beach monitoring programmeThe Groundhog TM Synergy detection system was used throughout the duration of the<strong>2010</strong>/<strong>11</strong> beach monitoring programme. The Groundhog TM Synergy system includes theoriginal Groundhog TM Evolution 2 setup (used in previous years of monitoring) plus 8 FIDLER© Nuclear Decommissioning Authority 20<strong>11</strong>. 17


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>(Field Instrument <strong>for</strong> the Detection of Low-Energy Radiation) detectors mounted on the frontof the Softrak monitoring vehicle, Figure 3.1. Since it was introduced in August 2009, thesophisticated array of probes has resulted in superior detection of alpha <strong>and</strong> beta-richradioactive particles.For more details regarding radiological detection <strong>and</strong> monitoring equipment, visit the EHS&Qenvironment pages at www.sellafieldsites.com.Figure 3.1. NUVIA’s Beach monitoring Softrak vehicleThe monitoring programme area has increased considerably since its inception in 2006. Thetotal monitoring area achieved <strong>for</strong> the <strong>2010</strong>/<strong>11</strong> programme was 319 hectares (Table 3.1,Figure 3.2, Figure 3.3). For <strong>2010</strong>/<strong>11</strong>, the CEAR requirement stated a minimum survey areaof 250 hectares of beach. In the last monitoring year, over 25 hectares of beach wassurveyed beyond the typical monitoring extent (St Bees Head to Drigg Point). Beach surveyswere conducted on Whitehaven Harbour, Whitehaven North, Parton, Harrington <strong>and</strong> Allonbybeach as part of the investigation periods. The Softrak monitoring vehicle was unable toaccess Whitehaven Harbour or Parton beach so a single h<strong>and</strong>-held Sodium Iodide detectorwas used as an alternative. The detector is mounted in a lightweight case <strong>and</strong> suspendedbetween two operators whilst monitoring the survey area. The h<strong>and</strong> held system uses thesame detection criteria as the vehicle based Evolution 2 array.Table 3.1 summarises the monitoring locations <strong>and</strong> hectare coverage as part of the <strong>2010</strong>/<strong>11</strong>programme. Hectare totals reflect the daily monitoring areas with at least one tide betweeneach period (i.e. typical s<strong>and</strong> turnover between tides is 10 centimetres <strong>and</strong> hence presents anew monitoring area). This gives a higher total than the area used <strong>for</strong> compliance with theauthorisation requirements, which is calculated based on the total monitoring area in a beach© Nuclear Decommissioning Authority 20<strong>11</strong>. 18


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>visit. The difference due to overlap between days can be significant, especially if accessroutes to various parts of the beach are limited. The percentages in Table 3.1 below havebeen calculated using the total area within the designated box on a map <strong>and</strong> the realisticarea that is available after tide, rocks <strong>and</strong> access factors have been taken into account.Table 3.1. Total hectares monitored <strong>for</strong> each beach during the <strong>2010</strong>/<strong>11</strong> monitoring programme.Monitoringarea3.1.4 Beach FindsNumber of daysArea covered(ha)Available area(ha)% of monitoringareaAllonby 4 10.44 136.90 8%Harrington 6 3.90 12.24 32%Parton 8 4.14 3.53 <strong>11</strong>7%Whitehaven 10 7.19 3.86 186%St Bees 37 53.07 28.50 186%Nethertown 7 3.67*Difficult toassessN/ABraystones 57 76.59 18.90 405%<strong>Sellafield</strong> 49 67.13 54.10 124%Seascale 32 51.06 80.70 63%Drigg 20 41.81 196.70 21%* Nethertown is a very rocky beach with lots of boulder so s<strong>and</strong> coverage is difficult to calculate.During the <strong>2010</strong>/<strong>11</strong> monitoring programme, a total of 383 finds were recovered from thebeaches surrounding the <strong>Sellafield</strong> Nuclear Licensed Site (Table 3.2, Figure 3.4). Of these,348 were classified as particles <strong>and</strong> the remaining 35 were classified as stones.Table 3.2. Total particle <strong>and</strong> stone beach finds during the <strong>2010</strong>/<strong>11</strong> monitoring programme.MonitoringareaParticles recoveredin <strong>2010</strong>/<strong>11</strong>Stones recoveredin <strong>2010</strong>/<strong>11</strong>Total in<strong>2010</strong>/<strong>11</strong>Allonby 0 0 0Harrington 2 0 2Parton 0 0 0Whitehaven 9 0 9St Bees 60 0 60Nethertown 0 0 0Braystones <strong>11</strong>5 0 <strong>11</strong>5<strong>Sellafield</strong> 142 35 177Seascale 10 0 10Drigg 10 0 10Total 348 35 383© Nuclear Decommissioning Authority 20<strong>11</strong>. 19


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Figure 3.2. <strong>2010</strong>/<strong>11</strong> Monitoring extent from Drigg Point to St Bees© Nuclear Decommissioning Authority 20<strong>11</strong>. 20


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Figure 3.3. <strong>2010</strong>/<strong>11</strong> Monitoring extent from Whitehaven Harbour to Harrington© Nuclear Decommissioning Authority 20<strong>11</strong>. 21


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Figure 3.4. The distribution of particle <strong>and</strong> stone beach finds throughout the <strong>2010</strong>/<strong>11</strong>monitoring programme.© Nuclear Decommissioning Authority 20<strong>11</strong>. 22


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>The total number of beach finds recovered in <strong>2010</strong>/<strong>11</strong> increased considerably compared tothe previous two years of monitoring (244 in 2008/09 <strong>and</strong> 241 in 2009/10). Following theintroduction of the Groundhog TM Synergy detection system in August 2009, the total find ratehas increased due to its enhanced detection capability. As Synergy was operationalthroughout the entire <strong>2010</strong>/<strong>11</strong> monitoring programme, this has resulted in a marked increasein the number of finds compared to the previous Groundhog TM Evolution 2 system. Theproportion of beach finds classified as stones (larger than 2 mm in diameter) decreasedsignificantly to just 9% in <strong>2010</strong>/<strong>11</strong>. The reduction in the number of recovered stones isconsistent with the last two monitoring years. This supports the theory that the number ofcontaminated stones in the beach environment is decreasing.Over 76% of beach finds were recovered on <strong>Sellafield</strong> (46%) or Braystones (30%) beachduring <strong>2010</strong>/<strong>11</strong> which is where a significant proportion of the monitoring ef<strong>for</strong>t is focussed(144 hectares, 45%). This follows the trend previously reported <strong>for</strong> earlier monitoringprogrammes <strong>and</strong> is probably the result of a prevailing northerly current in the Irish Sea whichmay transport active particles <strong>and</strong> some small stones in this direction (Figure 3.5). Moreover,this distribution is also consistent with modelling work undertaken in 2006 (Vives Lynch,2006). As in previous years, contaminated stones are consistently recovered close to theNuclear Licensed Site. All but one stone was recovered within 1.25 km of the <strong>Sellafield</strong>pipeline during <strong>2010</strong>/<strong>11</strong>. The distribution of particle finds is more r<strong>and</strong>om reflecting greatermobility in the dynamic beach environment due to their size. There appears to be a higherdensity of finds at Braystones but this is misleading when only considering the number offinds <strong>and</strong> not the total survey area. When this is taken into consideration the number ofrecovered finds is considerably lower than on <strong>Sellafield</strong> beach (see section 3.1.5.3).A total of 60 finds were recovered at St Bees during the latest monitoring programme,considerably higher than previous monitoring years. This could be attributed to the dynamicnature of the beach environment which experiences significant changes in s<strong>and</strong> height,potentially exposing “new” finds. Alternatively, it could also be the result of Groundhog TMSynergy which is capable of detecting finds previously not visible with the Groundhog TMEvolution 2 system.Appendix 1 shows the distribution of the beach finds <strong>for</strong> the remaining beaches plus theextents which indicate the area monitored throughout the <strong>2010</strong>/<strong>11</strong> programme. Seascalebeach was covered extensively with approximately 60% coverage of the available area. Intotal, 10 particle finds were recovered <strong>and</strong> most of these were located in front of the car parkarea of the beach reflecting the area surveyed. During <strong>2010</strong>/<strong>11</strong>, 10 particle finds were alsorecovered on Drigg beach. Five finds were recovered close to the northerly car park area <strong>and</strong>the remaining five were recovered at the southern end of the beach at Drigg point. As part ofthe investigation period new monitoring areas were surveyed at Whitehaven north beach <strong>and</strong>Whitehaven Harbour as well as at Harrington. A total of nine finds were recovered atWhitehaven (eight on north beach <strong>and</strong> one within the harbour). Two finds were detected <strong>and</strong>recovered at Harrington. Monitoring was conducted both within the harbour walls <strong>and</strong> on thesurrounding beach but both finds were recovered within the harbour. No finds wererecovered at Allonby, Parton or Nethertown despite monitoring over 18 hectares using eitherthe Softrak <strong>and</strong>/or h<strong>and</strong>-held instrumentation.To examine any potential changes in the number of beach finds recovered, it is important toalso consider the total area monitored in order to calculate a find rate. An assessment of the© Nuclear Decommissioning Authority 20<strong>11</strong>. 23


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>number of finds recovered during <strong>2010</strong>/<strong>11</strong> shows that the total find rate has increasedcompared to the last two years monitoring but remains lower than the highest rate in 2007/08(Table 3.3). The increase in find rate correlates with the introduction of Synergy in August2009 as a result of enhanced detection capability. Interestingly, if Synergy had beenoperational throughout all of 2009/10 then the find rate would be similar to that of <strong>2010</strong>/<strong>11</strong>.This suggests that Synergy is the reason <strong>for</strong> increased find rate rather than an increase inthe number of particles in the environment. Furthermore, there have been so significantstorm events which could have resulted in a drastic change in the distribution of particles inthe environment.Table 3.3. Beach find rates (finds per hectare) throughout the history of the monitoringprogramme.Monitoringarea2006/07 2007/08 2008/09 2009/10 <strong>2010</strong>/<strong>11</strong>Allonby – – 0.051 – 0Harrington – – – – 0.513Parton – – – – 0Whitehaven – – – – 1.251St Bees – 0.214 0.077 0.059 1.131Nethertown – – – 0 0Braystones 0.334 0.158 0.<strong>11</strong>5 1.043 1.501<strong>Sellafield</strong> 1.671 4.003 1.747 2.181 2.637Seascale – 0.209 0.188 0.176 0.196Drigg – 0.254 0.051 0 0.239Silecroft – – – 0 –All 0.835 1.725 0.692 0.681 1.201‘–‘ indicates that no monitoring was carried out.Find rates were highest at Braystones <strong>and</strong> <strong>Sellafield</strong> which is consistent with previous yearsof monitoring (Figure 3.6). Beach finds were recovered at Whitehaven <strong>and</strong> Harrington as partof the investigation period <strong>and</strong> because a relatively small area was monitored, this hasresulted in a moderately high find rate. Further monitoring as part of the 20<strong>11</strong>/12 programmewill reveal whether the find rates in Table 3.3 are a true reflection of the number of particlesat Whitehaven <strong>and</strong> Harrington.© Nuclear Decommissioning Authority 20<strong>11</strong>. 24


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Figure 3.5. The distribution of particle <strong>and</strong> stone beach finds on Braystones <strong>and</strong> <strong>Sellafield</strong>beach throughout the <strong>2010</strong>/<strong>11</strong> monitoring programme.© Nuclear Decommissioning Authority 20<strong>11</strong>. 25


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>4.5004.000Find Rate (finds per ha)3.5003.0002.5002.0001.5001.0002006/072007/082008/092009/10<strong>2010</strong>/<strong>11</strong>0.5000.000St Bees Nethertown Braystones <strong>Sellafield</strong> Seascale DriggMonitoring AreaFigure 3.6. Changes in year on year find rate at beaches closest to <strong>Sellafield</strong>The key radionuclides detected by the Groundhog TM Synergy monitoring are 137 Cs <strong>and</strong>241 Am. Consequently, initial characterisation of each find recovered via the monitoringprogramme concentrates on these isotopes, such that, <strong>for</strong> positive analytical results; Finds with 241 Am activity greater than 137 Cs activity are classified as “alpha-rich”Finds with 137 Cs activity greater than 241 Am activity are classified as “beta-rich”.Finds with positive 60 Co activity <strong>and</strong> greater than the 137 Cs activity are classified as“Cobalt-rich”When Synergy was introduced in 2009, its greater capability <strong>for</strong> detecting low energy alpha<strong>and</strong> pure beta emitters resulted in a significant change in the find profile. In the latter half ofthe 2009/10 programme the number of finds classified as “alpha-rich” increased notably <strong>and</strong>this trend continued throughout the <strong>2010</strong>/<strong>11</strong> annual beach monitoring programme (Table3.4). Over 84% of all finds were classified as alpha-rich <strong>and</strong> were detected on most beachesthat were surveyed (Table 3.5, Figure 3.8). The majority of beta-rich <strong>and</strong> a significantproportion of alpha-rich finds were recovered at <strong>Sellafield</strong> <strong>and</strong> Braystones (Figure 3.9).The number of finds classified as beta-rich continued to decline (down 36% compared to2009/10) even with the large increase in the total number of finds recovered throughout theprogramme. This trend is consistent with previous monitoring reports <strong>and</strong> suggests that theactive particles/stones are being removed (by the monitoring/retrieval programme) fasterthan they are becoming available in the beach environment. Furthermore, over 80% of betarichfinds were recovered from <strong>Sellafield</strong> beach which is also consistent with previousmonitoring programmes.© Nuclear Decommissioning Authority 20<strong>11</strong>. 26


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Table 3.4. Changes in find classification since 2006.Classification 2006/07 2007/08 2008/09 2009/10 <strong>2010</strong>/<strong>11</strong>Alpha-rich 1 31 24 142 322Beta-rich <strong>11</strong> 315 218 94 60Cobalt-rich 0 5 2 5 1All 12 351 244 241 383The large increase in find rate at St Bees (see 3.1.5.3) is likely to be the result of Synergy as57 finds, out of 60 recovered in <strong>2010</strong>/<strong>11</strong>, were classified as alpha-rich (Figure 3.10). Findsdetected on other beaches such as Drigg, Whitehaven <strong>and</strong> Harrington have all beenclassified as alpha-rich except <strong>for</strong> one beta-rich find in Whitehaven Harbour (Table 3.5). Thelarge number of alpha-rich finds provides further evidence of the capability of Synergy <strong>for</strong>detecting low energy radiation. A total of seven beta-rich finds <strong>and</strong> one Cobalt-60 rich findwere recovered from Braystones beach but the remaining 107 were classified as alpha-rich.No beta-rich finds were recovered from Drigg, Seascale or Harrington during <strong>2010</strong>/<strong>11</strong>however beta-rich finds have been recovered on Drigg <strong>and</strong> Seascale beach in previousmonitoring years. This is further evidence that the “population” of beta-rich finds maybe beingremoved faster than they are becoming available in the beach environment.350300Total number of Finds250200150100Alpha-richBeta-richCobalt-rich5002006/07 2007/08 2008/09 2009/10 <strong>2010</strong>/<strong>11</strong>Monitoring YearFigure 3.7. Changes in find classification since 2006.© Nuclear Decommissioning Authority 20<strong>11</strong>. 27


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Table 3.5. Find classification showing the types of beach finds recovered on beachessurrounding <strong>Sellafield</strong>.MonitoringareaAlpha-rich Beta-rich Cobalt-richTotal in<strong>2010</strong>/<strong>11</strong>Allonby 0 0 0 0Harrington 2 0 0 2Parton 0 0 0 0Whitehaven 8 1 0 9St Bees 57 3 0 60Nethertown 0 0 0 0Braystones 107 7 1 <strong>11</strong>5<strong>Sellafield</strong> 128 49 0 177Seascale 10 0 0 10Drigg 10 0 0 10Total 322 60 1 383In addition to the alpha <strong>and</strong> beta rich find classification, a total of 13 finds have beenallocated a 60 Co rich classification since the large area beach programme began in 2006.During <strong>2010</strong>/<strong>11</strong>, only one 60 Co rich find was recovered from Braystones beach.Generally, 60 Co activity in the nuclear industry is associated with neutron activation of steelcomponents of the reactor fuel or its support structure. Superficially, this might appear tooffer an easier route <strong>for</strong> identifying the time <strong>and</strong> source of the release into the environment.In reality, however, the complexity of fuel h<strong>and</strong>ling <strong>and</strong> reprocessing operations together withsubsequent effluent treatment makes a definitive assessment very difficult. At <strong>Sellafield</strong>, a60 Co rich particle was found on <strong>Sellafield</strong> beach in 1988 close to the factory sewer outfall,which prompted an investigation into its potential source. Despite being able, from the tracemetals analysis, to identify which batch of fuel it was derived from, it was not possible todetermine how it came to be on the beach.© Nuclear Decommissioning Authority 20<strong>11</strong>. 28


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Figure 3.8. Geographic location of recovered alpha-rich <strong>and</strong> beta-rich throughout the <strong>2010</strong>/<strong>11</strong>programme (excluding Whitehaven, Parton, Harrington <strong>and</strong> Allonby).© Nuclear Decommissioning Authority 20<strong>11</strong>. 29


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Figure 3.9. Location of recovered alpha-rich <strong>and</strong> beta-rich finds at <strong>Sellafield</strong> <strong>and</strong> Braystones in<strong>2010</strong>/<strong>11</strong>.© Nuclear Decommissioning Authority 20<strong>11</strong>. 30


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Figure 3.10. Location of recovered alpha-rich <strong>and</strong> beta-rich finds at St Bees in <strong>2010</strong>/<strong>11</strong>.© Nuclear Decommissioning Authority 20<strong>11</strong>. 31


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>3.1.5 Risks from particles found in the environmentThe Health Protection Agency has continued to advise the Environment Agency on the risksassociated with using the beaches around <strong>Sellafield</strong>. Throughout the last six years <strong>Sellafield</strong><strong>Ltd</strong> has provided the EA <strong>and</strong> the HPA with all the available monitoring <strong>and</strong> analysis data ithas acquired to assist with determining the risk of particles in the environment.As part of <strong>for</strong>mulating the overall risk, the Food St<strong>and</strong>ards Agency (FSA) has also beenasked <strong>for</strong> their position regarding risks from consumption of seafood.In April 20<strong>11</strong> the Health Protection Agency published their risk assessment (Brown <strong>and</strong>Etherington, 20<strong>11</strong>).Copied below is the assessment synopsis:The HPA confirm that the advice provided in 2009 (Cooper, 2009), that "no specialprecautionary actions are required at this time to limit access to or use of beaches" remainsvalid. The FSA have also confirmed that the risks associated with consumption of seafood"is acceptable" (Tossell, 20<strong>11</strong>).3.1.6 ConclusionsIn total, 319 hectares, between Allonby <strong>and</strong> Drigg point were monitored <strong>and</strong> 383 radioactivefinds were recovered. The overall number of finds <strong>and</strong> associated find rate has increasedcompared to the previous year of monitoring. However this is attributed to the introduction ofthe more sensitive Groundhog TM Synergy detection array.The overall distribution of finds corresponded with previous monitoring years, with a closegeographic association with the <strong>Sellafield</strong> Nuclear Licensed Site. Furthermore, a significantproportion of all beach finds were recovered on <strong>Sellafield</strong> <strong>and</strong> Braystones beach which isconsistent with modelling work undertaken in 2006 (Vives Lynch, 2006). Finds were detectedon new monitoring areas at Whitehaven <strong>and</strong> Harrington <strong>and</strong> further monitoring will be carriedout on these areas in 20<strong>11</strong>/12.© Nuclear Decommissioning Authority 20<strong>11</strong>. 32


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>The number of finds classified as Beta-rich has continued to decrease (despite an overallincrease in the total number of finds) which suggests that this category of activeparticles/stones is being removed (by the monitoring/retrieval programme) faster than theyare becoming available in the beach environment.The introduction of Synergy enhanced the ability to detect lower energy gamma radiation,which includes 241 Am<strong>and</strong> consequently finds characterised as Alpha-rich. <strong>2010</strong>/<strong>11</strong> was thefirst year where the Synergy detection system was used <strong>for</strong> the entire annual programme.This resulted in a much higher find rate compared to the last two monitoring years. Withsufficient monitoring, the Alpha-rich find rate may also start to decrease (similar to the pattern<strong>for</strong> Beta-rich finds) as they are removed via the monitoring/retrieval programme.HPA have published its detailed risk assessment <strong>and</strong> have confirmed that the adviceprovided in 2009 remains valid (Cooper, 2009), they advise that:3.2 Find Analysis <strong>and</strong> Statistics3.2.1 IntroductionParticles <strong>and</strong> stones recovered from beaches as part of the monitoring/retrievals programmeare sent to the <strong>Sellafield</strong> Analytical Service <strong>for</strong> an initial estimate of the activity of gammaemitting radionuclides. A high resolution gamma scan technique is used on the 'as received'beach finds <strong>and</strong> activities <strong>for</strong> 60 Co, 106 Ru, 125 Sb, 134 Cs, 137 Cs <strong>and</strong> 241 Am radionuclides arereported. The analysis report includes these radionuclides, even if they are at the limit ofdetection, plus any other significant gammas detected. Alpha-rich finds with significant 241 Amactivity can undergo further assessment <strong>for</strong> Plutonium isotope activities. This data providesconfirmation of the find category, which is provisionally allocated using the monitoringdata.To allow further find characterisation, a series of external analysis contracts have beenplaced with Serco, starting in December 2007 <strong>and</strong> continuing to date. A total of 123 findshave been analysed via these contracts, with work on find tranche 1 <strong>and</strong> 2 complete <strong>and</strong> findtranche 3 ongoing. The finds selected <strong>for</strong> these contracts were judged to give arepresentative sample of those recovered at the time of contract placement. The analysesselected <strong>for</strong> the contracts focus on identifying public risk, origins of finds <strong>and</strong> determination ofthe best practicable means (BPM) methodology <strong>for</strong> beach monitoring. Serco employed theNational Physical Laboratory (NPL) to undertake the main analysis work <strong>and</strong> the HealthProtection Agency (HPA) to undertake intestinal absorptions studies, on a selection ofalpha-rich finds.The sequence of the analyses is carefully designed with hold points at critical stages (e.g.hold <strong>for</strong> SL <strong>and</strong> EA approval be<strong>for</strong>e starting on destructive analyses etc.). The analysessteps are as follows:i) Drying, separation <strong>and</strong> washing.ii)iii)Scaled colour photography.Estimated activity in 'as received' finds, 'separated' finds <strong>and</strong> residues using highresolution gamma spectroscopy calibrated to give limits of detection (LODs) <strong>for</strong>134 Cs in the range of 1E+00 Bq to 1E+03 Bq, <strong>for</strong> 237 U, 238 Pu <strong>and</strong> 239 Pu (in the© Nuclear Decommissioning Authority 20<strong>11</strong>. 33


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>presence of 241 Am at 1E+04 Bq) in range of 1E+00 Bq to 1E+03 Bq. All otheradditional radionuclides detected above limit of detection are reported.iv) Measurement of beta gamma <strong>and</strong> gamma contact dose rates from separatedfinds using a Mini-Instruments SmartIon type ion chamber.v) Mass determination using Mettler AT balance capable of 2 microgram resolution.vi) Density determination by sequential fluid immersion in haloalkanes.vii) Shape determination using Alicona imaging.viii) Scanning electron microscopy imaging (SEM) (using non-coated technique <strong>and</strong>stub mounted on carbon mounting discs) on separated find <strong>and</strong> after bothstomach <strong>and</strong> gut leaching stages.ix) Energy dispersive X-ray analysis (EDX) on non-coated stub mounted separatedfind <strong>and</strong> after both stomach <strong>and</strong> gut leaching stages.x) Sequential leaching using simulated stomach solution, simulated gut solution, <strong>and</strong>total dissolution using mineral acids.xi) Solutions content determination of total beta, 60 Co, 90 Sr, 106 Ru, 125 Sn, 134 Cs, 137 Cs,152 Eu, 154 Eu, 155 Eu, 231 Th, 234 Th, 234 Pa, 238 Pu, 239 Pu, 240 Pu, 241 Pu, 242 Pu , 241 Am, 234 U,235 U, 236 U, <strong>and</strong> 238 U. Actinide analysis by alpha spectrometry <strong>and</strong> inductivelycoupled plasma mass spectrometry (ICP-MS), subcontracted to AMEC'sanalytical laboratory NIRAS. Metals analysis by inductively coupled plasmaoptical emission spectrometry (ICP-OES), subcontracted to the Scientific AnalysisLaboratory (SAL).xii) Solid content determination of total beta, 60 Co, 106 Ru, 125 Sn, 134 Cs, 137 Cs, 152 Eu,154 Eu, 155 Eu, 231 Th, 234 Th, 234 Pa, 238 Pu, 239 Pu, 240 Pu, 241 Pu, 242 Pu , 241 Am, 234 U, 235 U,236 U, <strong>and</strong> 238 U.The first Serco report was issued in December 2009 (Cowper ., 2009) <strong>and</strong> the second inJuly <strong>2010</strong> (Clacher ., <strong>2010</strong>). The third report is due to be published in September 20<strong>11</strong>In October 2008 a Geographic In<strong>for</strong>mation System (GIS) was developed with Jacobs toh<strong>and</strong>le beach monitoring data <strong>and</strong> give a visual interpretation that could be more easilyunderstood. The data processed by this system, <strong>and</strong> its graphical outputs, have been usedthroughout this report. The GIS support contract has been renewed since the initial setting upof the GIS with the focus mainly on consolidating the facilities provided <strong>and</strong> exp<strong>and</strong>ing theiruse. GIS development is ongoing to add tools to help identify beach find repopulation, tocreate a web-based GIS <strong>for</strong> wider dissemination of in<strong>for</strong>mation <strong>and</strong> to exp<strong>and</strong> on thestatistical analysis of spatial factors.Work has continued in 20<strong>11</strong>/12 on the statistical interpretation of the data through a contractstarted in August <strong>2010</strong> with the Department of Environmental Statistics at GlasgowUniversity. Contract deliverables include advice of how best to analyse the existing beachmonitoring data using statistical techniques (Scott <strong>and</strong> Tyler, 20<strong>11</strong>a) <strong>and</strong> what beachmonitoring programme will maximises the potential <strong>for</strong> meaningful statistical analysis (Scott<strong>and</strong> Tyler, 2001b).3.2.2 What has been achieved with this analytical data?Finds are grouped into particles <strong>and</strong> stones using the geological classification of coarse s<strong>and</strong>(i.e. International diameter of 0.2 to 2 mm) <strong>and</strong> gravel/stones (i.e. International diameter of >2 mm). A particle is there<strong>for</strong>e defined as being less than or equal to 2 mm in diameter <strong>and</strong> astone as being greater than 2 mm in diameter. It is recognised that not all finds are spherical<strong>and</strong> a visual inspection of the find is made during recovery. In most cases the particle orstone judgement is unambiguous with just <strong>11</strong>% of stone finds with size estimates less than 3mm.© Nuclear Decommissioning Authority 20<strong>11</strong>. 34


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Particle <strong>and</strong> stone finds are further sub-divided initially into an alpha-rich or beta-richcategories during recovery using count rate <strong>and</strong> dose rate measurements. The alpharich<strong>and</strong> beta-rich find categories are exp<strong>and</strong>ed to include 60 Co-rich <strong>and</strong> excess beta-richcategories when the high resolution gamma scan results are available. The definitions <strong>for</strong>these categories are as follows: Alpha-rich: Finds with positive 241 Am activity greater than 137 Cs activity. Beta rich: Finds with positive 137 Cs activity greater than 241 Am activity <strong>and</strong> NOT 60 Corich.60 Co-rich: Finds with positive 60 Co activity greater than 137 Cs activity.Excess beta-rich: Finds with a contact beta-gamma dose rate divided by the 137 Csactivity greater than 15 mSv/h per Bq 137 Cs AND NOT Alpha-rich AND NOT 60 Co-rich.Note that finds in this category are potential c<strong>and</strong>idates <strong>for</strong> a high energy beta emittersuch as 90 Sr.An assessment of the 1233 finds found up to 31 st March 20<strong>11</strong> shows that most alpha-richfinds have little beta radionuclide activity <strong>and</strong> most beta rich-finds have little actinide activity.Similarly, 60 Co-rich finds have mainly 60 Co activity <strong>and</strong> the excess beta-rich finds are alsomainly beta-rich. Exceptions to these general rules are rare (i.e. 3 unusual alpha-rich findsout of 514 alpha-rich finds in total; see below <strong>for</strong> other categories). Table 3.6 below gives asummary of the numbers of finds in each category <strong>and</strong> their average <strong>and</strong> maximum activities.The data is split between monitoring techniques with Groundhog TM Evolution 2 employedbetween November 2006 <strong>and</strong> August 2009 <strong>and</strong> Groundhog TM Synergy employed betweenAugust 2009 <strong>and</strong> the end of the reporting period (i.e. 31 st March 20<strong>11</strong>).Table 3.6. Find numbers <strong>and</strong> activities by category <strong>and</strong> monitoring techniqueAlpha-rich Activity summary 1 Evolution 2 SynergyTotal number 63 457No. of particles 60 454No. of stones 3 3Particle Mean 241 Am 7.69E+04 Bq 2.95E+04 BqParticle Max. 241 Am 6.34E+05 Bq 2.52E+05 BqParticle Min. 241 Am 3.23E+03 Bq 2.20E+03 BqStone Mean 241 Am 1.74E+04 Bq 2.40E+05 BqStone Max. 241 Am 3.54E+04 Bq 6.18E+05 BqStone Min. 241 Am 7.60E+03 Bq 5.13E+04 BqParticle Mean 137 Cs 2.50E+01 Bq 2.93E+01 BqParticle Max. 137 Cs 9.03E+01 Bq 6.23E+01 BqParticle Min. 137 Cs 1.18E+01 Bq 1.90E+01 BqStone Mean 137 Cs 4.70E+03 Bq 3.64E+01 BqStone Max. 137 Cs 7.20E+03 Bq 5.46E+01 BqStone Min. 137 Cs 1.80E+01 Bq 2.62E+01 Bq© Nuclear Decommissioning Authority 20<strong>11</strong>. 35


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Beta-rich Activity Summary 1 Evolution 2 SynergyTotal number 597 101No. of particles 225 45No. of stones 372 56Particle Mean 241 Am 2.07E+02 Bq 3.45E+02 BqParticle Max. 241 Am 1.15E+03 Bq 1.36E+03 BqParticle Min. 241 Am 8.31E+00 Bq 1.28E+02 BqStone Mean 241 Am 3.26E+02 Bq 5.50E+02 BqStone Max. 241 Am 4.99E+03 Bq 2.50E+03 BqStone Min. 241 Am 5.31E+01 Bq 1.98E+02 BqParticle Mean 137 Cs 1.64E+04 Bq 2.56E+04 BqParticle Max. 137 Cs 1.09E+05 Bq 2.92E+05 BqParticle Min. 137 Cs 4.75E+02 Bq 2.92E+03 BqStone Mean 137 Cs 4.00E+04 Bq 7.37E+04 BqStone Max. 137 Cs 8.75E+05 Bq 1.04E+06 BqStone Min. 137 Cs 1.93E+03 Bq 4.76E+03 Bq60 Co-rich Activity Summary 1 Evolution 2 SynergyTotal number <strong>11</strong> 2No. of particles 10 2No. of stones 1 0Particle Mean 60 Co 1.27E+04 Bq 1.63E+04 BqParticle Max. 60 Co 1.97E+04 Bq 2.38E+04 BqParticle Min. 60 Co6.21E+03 BqStone Mean 60 Co 2.35E+04 Bq Not AvailableStone Max. 60 Co 2.35E+04 Bq Not AvailableStone Min. 60 Co 2.35E+04 Bq Not AvailableParticle Mean 137 Cs 1.04E+02 Bq 1.14E+02 BqParticle Max. 137 Cs 1.30E+02 Bq 1.45E+02 BqParticle Min. 137 Cs7.70E+01 BqStone Mean 137 Cs 1.44E+02 Bq Not AvailableStone Max. 137 Cs 1.44E+02 Bq Not AvailableStone Min. 137 Cs 1.44E+02 Bq Not Available© Nuclear Decommissioning Authority 20<strong>11</strong>. 36


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Excess Beta-rich Activity1Summary (all beta-rich)Evolution 2 SynergyTotal number 26 2No. of particles 25 2No. of stones 2 0 0Particle Mean 90 Sr 3 3.82E+03 Bq Not AvailableParticle Max. 90 Sr 3 1.47E+04 Bq Not AvailableParticle Min. 90 Sr 3 2.33E+02 Bq Not AvailableParticle Mean 137 Cs 8.33E+03 Bq 4.05E+03 BqParticle Max. 137 Cs 2.72E+04 Bq 4.39E+03 BqParticle Min. 137 Cs 3.08E+03 Bq 3.70E+03 BqParticle Mean 137 Cs/ 90 Sr ratio 4.4 Not AvailableParticle Max. 137 Cs/ 90 Sr ratio 23.2 Not AvailableParticle Max. 137 Cs/ 90 Sr ratio 0.6 Not Available1. Averages <strong>and</strong> minimum values include reported limit of detection values.2. One granite chip (most probably from the adjacent railway bed) was initially identified as excessbeta but was later categorised as naturally occurring material based on the 226 Ra activity.3. Evolution 2 finds based on 90 Sr <strong>and</strong> 137 Cs Serco analysis results from 25 particles categorised asexcess beta-rich.The above find categorisation provides a structure <strong>for</strong> reporting the key findings from the<strong>Sellafield</strong> <strong>Ltd</strong> analysis, as follows:Using the size categories the population of particle <strong>and</strong> stone finds can be placed into tworeservoirs; the first being the area of beach down to low tide <strong>and</strong> the second being the areabelow the low tide line (generically called sub-sea). There is an interchange between thesereservoirs that depends on a complex combination of factors <strong>and</strong> is the subject of the subseainvestigation. A visual description of the whole population of finds, with their componentparts, is represented by areas in Figure 3.<strong>11</strong> below. In this diagram the beach particles <strong>and</strong>stones areas <strong>and</strong> their corresponding sub-sea areas are roughly based on the finds found todate <strong>and</strong> an assumption that the interchange rates between beach <strong>and</strong> sub-sea <strong>for</strong> particles<strong>and</strong> stones is the same. This is a starting point to help visualise the find populations <strong>and</strong>weaknesses with respect to a representative sampling programme <strong>and</strong> lack of knowledge ofthe beach to sub-sea interchange rates are being addressed.© Nuclear Decommissioning Authority 20<strong>11</strong>. 37


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Find Population438 stones recoveredfrom November 2006 to31/03/20<strong>11</strong>795 particles recoveredfrom November 2006to 31/03/20<strong>11</strong>Beach particlepopulationBeachStonespopulationSub-sea particlepopulationSub-seaStonespopulationFigure 3.<strong>11</strong>. Diagram Representing Find Population numberIn a similar way to the whole population, the beach particle population is represented inFigure 3.12 below. The areas are again an approximate representation of the relativepopulation sizes <strong>for</strong> the particle categories <strong>and</strong> are based on particles found to date. Theuncertainty in the relative population sizes will again depend on how representative thesampling programme is <strong>for</strong> the particle population.Beach Particle Population514 alpha-rich particlesrecovered fromNovember 2006 to31/03/20<strong>11</strong>Alpha-rich particlepopulation<strong>11</strong> 60 Co-rich particlesrecovered fromNovember 2006 to31/03/20<strong>11</strong>60 Co-richparticlepopulation270 beta-rich particlesrecovered fromNovember 2006 to31/03/20<strong>11</strong>Beta-rich particlepopulationExcess beta-richpopulationFigure 3.12. Radiological Classification in the Find Population27 Excess beta-richparticles recovered fromNovember 2006 to31/03/20<strong>11</strong>© Nuclear Decommissioning Authority 20<strong>11</strong>. 38


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>The problem associated with a statistically representative sampling programme is complex<strong>and</strong> can be intractable, as indicated in the statistical sampling report (Scott <strong>and</strong> Tyler,20<strong>11</strong>b). However, it should be noted that sampling over the last 4 <strong>and</strong> a half years hasdelivered a sampling programme whereby a significant proportion of the beach area hasbeen visited on multiple occasions. Furthermore, this increases the potential to detectparticles of all activities as they are turned over within the s<strong>and</strong> (i.e. unless the particles arefixed in a stratum they will visit the surface due to the churning affect of the tides). Whilstconsidering the best approach to future sampling programmes an assessment is needed ofthe relationship between the find populations <strong>and</strong> finds found to date. Four scenarios can bepostulated in this respect.a) The finds found to date are a small proportion of the whole population, whichinterchange freely with sub-sea populations <strong>and</strong> hence can be treated as a singlepopulation.b) The finds found to date are a significant proportion of the whole population, whichinterchange freely with sub-sea populations <strong>and</strong> hence can be treated as a singlepopulation.c) The finds found to date are a significant proportion of the beach population, whichinterchange slowly with sub-sea populations <strong>and</strong> hence cannot be treated as a singlepopulation.d) The proportion of the find populations found to date varies between find categories<strong>and</strong> can be a significant proportion of the find populations, which interchange slowlywith sub-sea populations <strong>and</strong> hence cannot be treated as a single population.The evidence to date would suggest that option (d) is the most probable scenario. Thehypothesis that proportion of the find populations found to date varies between findcategories <strong>and</strong> can be a significant proportion of the find populations is supported by thedrop in stone <strong>and</strong> beta-rich find rates. Stones were found at an average rate of 0.44 per habe<strong>for</strong>e the <strong>2010</strong>/<strong>11</strong> financial year <strong>and</strong> 0.<strong>11</strong> per ha during <strong>2010</strong>/<strong>11</strong>. Beta-rich find rates were0.69 per ha up to the start of the <strong>2010</strong>/<strong>11</strong> financial year <strong>and</strong> 0.19 per ha during <strong>2010</strong>/<strong>11</strong>. Thehypothesis that the interchange rate between sub-sea <strong>and</strong> the beach is slow is supported byabsence of high activity finds (which have been recovered in previous years) that haverepopulated the beach from the sub-sea reservoir. The more sensitive Groundhog TM Synergymonitoring system is finding lower activity alpha-rich particle finds that those found earlierusing the Groundhog TM Evolution 2 system. Superimposing the histograms of the separateEvolution 2 <strong>and</strong> Synergy trans<strong>for</strong>med log normal data sets shows than the Evolution 2 datawas biased to higher 241 Am activities compared to the Synergy data (Figure 3.13). The 98percentile activities values confirm this conclusion with Evolution 2 activity being 2.6E+05 Bqcompared to the Synergy activity of 8.3E+04 Bq. If the repopulation rate were significant,then the Synergy <strong>and</strong> Evolution 2 values should be comparable or reversed with the moresensitive Synergy detecting a wider range of activities.© Nuclear Decommissioning Authority 20<strong>11</strong>. 39


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Log Am241 Activity Histogram of Separate Evolution 2 <strong>and</strong> Synergy Particle Data706050Frequency4030<strong>2010</strong>03 3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8 3.9 4 4.1 4.2 4.3 4.4 4.5 4.6 4.7 4.8 4.9 5 5.1 5.2 5.3 5.4 5.5 5.6 5.7 5.8 5.9 6Log to base 10 of Am241 ActivityEvolutionSynergyFigure 3.13. Histogram of Log Normally Transposed Alpha Rich Particle 241 Am Activities <strong>for</strong>separate Evolution 2 <strong>and</strong> Synergy Monitoring Periods.Further work with the statistical techniques advised in the first statistics report (Scott <strong>and</strong>Tyler, 20<strong>11</strong>a) should provide evidence that can confirm or deny this hypothesis.A report on the assessment of the potential sources of alpha-rich finds, commissioned by theParticle Sources & Pathways Working Group (PSPWG), was completed in June <strong>2010</strong>(Hackney ., <strong>2010</strong>). The report used 238 Pu <strong>and</strong> 241 Am data on 51 alpha-rich finds that wereavailable at the end of March 2009. It identified that the bulk of these finds had their origins indistinct Magnox or Oxide fuel types. Since March 2009 a further 43 results have becomeavailable. These 43 finds have been categorised using the factors developed in the report,<strong>and</strong> are shown in Table 3.7 below.Table 3.7. Alpha-rich sub-group numbersAlpha-rich sub category Original <strong>Report</strong> New dataMagnox 25 3Oxide 23 27Unresolved 3 13When compared to the original data, the new data shows a marked increase in the Oxidegroup numbers <strong>and</strong> a drop in Magnox group numbers. This observation is consistent with thelower mean alpha activity <strong>for</strong> particles found since the introduction of the Synergy monitoringsystem in August 2009. That is, the mean 241 Am activity of all 50 Oxide finds (i.e. 6.31E+04Bq) is less than 50% of the mean activity <strong>for</strong> the 30 Magnox finds (i.e. 1.34E+05 Bq); so theOxide subgroup might be expected to be more prevalent in lower activity finds found bySynergy than the Magnox subgroup.© Nuclear Decommissioning Authority 20<strong>11</strong>. 40


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Histogram <strong>and</strong> probability plots of the SL actinide ratio data <strong>for</strong> the Magnox <strong>and</strong> Oxidesubgroups show that the ratios are normally distributed with a st<strong>and</strong>ard deviation of 20% ormore. To assess the extent of this uncertainty a scatter plot was generated that showed theerror bars based on the analytical measurement uncertainties (Figure 3.14). The axis valuesof this plot have been removed to avoid restricting this document. Their absence does notaffect the conclusion that the Magnox subgroup is relatively well resolved <strong>and</strong> the Oxidesubgroup less so. The error bars <strong>for</strong> the unresolved group could place them in either theMagnox or Oxide groups, which could imply that there are few, if any, mixed Magnox <strong>and</strong>Oxide finds. To check if a more refined assessment could be undertaken using the NPLanalysis the 16 alpha-rich finds from the second <strong>and</strong> third tranches were plotted (note thatthe 238 Pu uncertainty values were not available <strong>for</strong> the first tranche. No noticeableimprovement was seen using the NPL data compared with the SL data, with the SL databeing better <strong>for</strong> the Magnox subgroup. Figure 3.15 shows the same data without error barsso the find positions on the graph are more easily seen.Beach Find Origin AssesmentOxide origin findsAm241 / Pu239 RatioMagnox origin findsFinds outside ovals are unresolved or of mixed Magnox<strong>and</strong> Oxide originsPu238 / Pu239 RatioOxide origin Magnox origin Unresolved or mixed origin NPL DataFigure 3.14. Alpha-rich Find Subgroups Based on their Actinide Activity Ratios© Nuclear Decommissioning Authority 20<strong>11</strong>. 41


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Beach Find Origin AssesmentOxide origin findsAm241 / Pu239 RatioMagnox origin findsFinds outside ovals are unresolved or of mixed Magnox<strong>and</strong> Oxide originsPu238 / Pu239 RatioOxide origin Magnox origin Unresolved or mixed origin NPL DataFigure 3.15. Alpha-rich Find Subgroups without Error Bars.In conclusion, the additional finds are judged to support the original report conclusions, asfollows: The most likely source of alpha-rich finds is historic spent fuel reprocessing operationsfrom the mid 1960's to prior to the mid 1980s with age estimates ranging from 25 to 45years, 35 years being typical. The most likely pathways are all associated with authorised historic liquid effluentdischarges, with the particles <strong>for</strong>med from finely dispersed ferric hydroxide floc. Improvements in liquid effluent management from the mid to late 1980s resulted in theferric hydroxide floc material being filtered out of the liquid effluent after this date.The assessed correlation of the 241 Am activity against particle volume was reported in thesecond beach monitoring report (D’Souza, <strong>2010</strong>). This analysis has been updated with thenew data from the third tranche of finds sent <strong>for</strong> further analysis by NPL. The inclusion ofthese 6 finds in the correlation analysis made very little difference to the regression statistic,with the R values quoted to 2 decimal places being the same as the original analysis (i.e. Rvalue remaining at 0.89). This confirms that there is a strong correlation between the volumeof an alpha-rich particle <strong>and</strong> its 241 Am activity. If the characteristics of a group of finds can be fitted to a statistical distribution then a widerange of statistical techniques can be employed. If an adequate fit cannot be achieved thenthe analysis is limited to less powerful non-parametric techniques. For alpha-rich finds anobvious starting point is the particle activity.Figure 3.16 <strong>and</strong> Figure 3.17 are simple histogram plots of the log base 10 trans<strong>for</strong>med 241 Amactivities <strong>for</strong> separate <strong>and</strong> combined data respectively, collected during both Groundhog TMEvolution 2 <strong>and</strong> Groundhog TM Synergy monitoring periods. The bias to the higher activities,© Nuclear Decommissioning Authority 20<strong>11</strong>. 42


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>mentioned in the section above, can be seen in the Evolution 2 data compared with Synergy.The larger data set <strong>for</strong> Synergy (i.e. 454 particles) dominates the distribution compared toEvolution 2 (i.e. 60 particles).Log Am241 Activity Histiogram of Separate Evolution 2 <strong>and</strong> Synergy Data706050Frequency4030<strong>2010</strong>03 3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8 3.9 4 4.1 4.2 4.3 4.4 4.5 4.6 4.7 4.8 4.9 5 5.1 5.2 5.3 5.4 5.5 5.6 5.7 5.8 5.9 6Log to base 10 of Am241 ActivityEvolutionSynergyFigure 3.16. Separate Evolution 2 <strong>and</strong> Synergy 241 Am Activity Histogram.Log Am241 Activity Histogram706050Frequency4030<strong>2010</strong>03.00E+003.10E+003.20E+003.30E+003.40E+003.50E+003.60E+003.70E+003.80E+003.90E+004.00E+004.10E+004.20E+004.30E+00Log to base 10 of Am241 Activity4.40E+004.50E+004.60E+004.70E+004.80E+004.90E+005.00E+005.10E+005.20E+005.30E+005.40E+005.50E+005.60E+005.70E+005.80E+005.90E+006.00E+00Figure 3.17. Combined Evolution 2 <strong>and</strong> Synergy 241 Am Activity Histogram.The plutonium isotope analysis <strong>for</strong> alpha-rich particles shows a similar log normal distribution(Figure 3.18 <strong>and</strong> Figure 3.19. With less Plutonium data available compared to 241 Am theshape of the distribution is not as well defined as <strong>for</strong> 241 Am. That is, 514 particles wereincluded in the 241 Am activity plot compared to 109 <strong>for</strong> the 239 Pu activity plot <strong>and</strong> 84 <strong>for</strong> the238 Pu activity plot. In addition to the effect of the lower numbers of Plutonium results, theiranalysis also have moderately large uncertainties compare to 241 Am analysis.© Nuclear Decommissioning Authority 20<strong>11</strong>. 43


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Log Pu239 Activity Histogram12108Frequency6420Figure 3.18. 239 Pu Activity Histogram.3.00E+003.10E+003.20E+003.30E+003.40E+003.50E+003.60E+003.70E+003.80E+003.90E+004.00E+004.10E+004.20E+004.30E+004.40E+004.50E+004.60E+004.70E+004.80E+004.90E+005.00E+005.10E+005.20E+005.30E+005.40E+005.50E+005.60E+005.70E+005.80E+005.90E+006.00E+00Log to base 10 of Pu239 ActivityLog Pu238 Activity Histogram141210Frequency864203.00E+003.10E+003.20E+003.30E+003.40E+003.50E+003.60E+003.70E+003.80E+003.90E+004.00E+004.10E+004.20E+00Figure 3.19. 238 Pu Activity Histogram.4.30E+004.40E+004.50E+004.60E+004.70E+004.80E+004.90E+00Log to base 10 of Pu238 Activity5.00E+005.10E+005.20E+005.30E+005.40E+005.50E+005.60E+005.70E+005.80E+005.90E+006.00E+00To more accurately assess if 241 Am activity in alpha-rich particles is log normally distributed astatistical probability plot (Figure 3.20) can be used. This type of plot displays the log activityplotted against the cumulative find percentage <strong>and</strong> shows the fit across the whole of thedistribution with the median activity being at the 50% point. Finds that follow the fitteddistribution (i.e. the central blue line) would represent a perfect fit <strong>and</strong> finds within the outerblues lines are within the 95% confidence interval. A curve in the tail indicates a skeweddistribution <strong>and</strong> a point far away from the line an outlier. The probability plot also gives theAnderson-Darling statistic (AD), which is a powerful statistical measure of normality. For thelog normal hypothesis to be rejected the p value must be less than or equal to the chosenstatistical alpha-level (i.e. <strong>for</strong> hypothesis testing an alpha-level of 0.1 corresponding to a 10%chance of rejecting the log normal hypothesis when it is true). A probability value greaterthan 0.1 would support the hypothesis that the 241 Am activity in alpha-rich finds is log normaldistributed. Note that <strong>for</strong> comparison, fitting the same data to a normal distribution (plot notshown) gives p < 0.05. In this case, if the null hypothesis was that the 241 Am activity in alpharichfinds was normally distributed it would be rejected in favour of the alternative hypothesisthat it is not normally distributed.© Nuclear Decommissioning Authority 20<strong>11</strong>. 44


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Figure 3.20. Probability Plot of Log of 241 Am Particle Activity (no LOD values in data set).Figure 3.21. Probability Plot of Log of 239 Pu Particle Activity (positive data only).© Nuclear Decommissioning Authority 20<strong>11</strong>. 45


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Figure 3.22. Probability Plot of Log of 238 Pu Particle Activity (positive data only).From the plots <strong>and</strong> statistics above all three radionuclides show a strong correlation to a lognormal distribution with p values greater than 0.1. The Anderson-Darling test is heavilyweighted at the tails which explains the lowest p value being seen <strong>for</strong> 241 Am. Figure 3.20shows that the upper end of the 241 Am activity is under represented <strong>and</strong> the lower end overrepresented. The 238 Pu <strong>and</strong> 239 Pu activity plots (Figure 3.21 <strong>and</strong> Figure 3.22) show similarunder representation at the higher activities with some indication of over representation atlower activities <strong>for</strong> 238 Pu. Of the three radionuclides 241 Am is the critical radionuclide <strong>for</strong>detection by the Groundhog TM Synergy system. The over representation at lower 241 Amactivities would suggest that Groundhog TM Synergy is capable of detecting all members ofthis population of alpha-rich finds <strong>and</strong> the limit of detection (LOD) is not an issue. To confirmthis conclusion a probability plot (Figure 3.23) of just the particles found at the s<strong>and</strong> surfacecan be assessed.© Nuclear Decommissioning Authority 20<strong>11</strong>. 46


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Figure 3.23. Probability Plot of Log of 241 Am Activity <strong>for</strong> Particles found at the S<strong>and</strong> Surface.In this case if the lower 241 Am activity of the alpha-rich population was lower than theequipment LOD then they would be easier to detect on the surface. A surface probability plotwould there<strong>for</strong>e show a more significant over representation at the lower end than the plotusing data from all particle depths. A comparison between Figure 3.20 <strong>and</strong> Figure 3.23shows that this is not the case; with the plot of particles on the surface giving a similarpattern to that <strong>for</strong> particles from all depths. This supports the conclusion that theGroundhog TM Synergy monitoring equipment is capable of detecting the whole range of241 Am activities in the alpha-rich find population, depending on the depth of the find, <strong>and</strong> thatequipment LOD is not an issue. Further work on fitting statistical distributions to the alpharichdata is planned using data modified by the detection efficiency, as suggested by thestatistical support contract (see section 3.2.2.4).Table 3.8. Basic statistics <strong>for</strong> actinide activities based on log normally distributed data.Radionuclide => Ln 241 Am Ln 239 Pu Ln 238 PuMean 10.15 9.67 9.64St<strong>and</strong>ard Deviation 0.76 0.86 0.65Q1 9.65 9.08 9.17Median 10.13 9.66 9.63Q3 10.62 10.19 10.05Minimum 7.70 7.89 8.52Maximum 13.36 12.64 <strong>11</strong>.39Skewness 0.19 0.35 0.57Kurtosis 0.80 0.63 0.39N 514 92 67© Nuclear Decommissioning Authority 20<strong>11</strong>. 47


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Table 3.9. Basic statistics data in 3.8 converted from the natural log values back to activities.Radionuclide =>241 Am Activity(Bq)239 Pu Activity(Bq)238 Pu Activity(Bq)Mean 2.55E+04 1.58E+04 1.53E+04Q1 1.56E+04 8.73E+03 9.59E+03Median 2.52E+04 1.57E+04 1.52E+04Q3 4.08E+04 2.66E+04 2.31E+04Minimum 2.20E+03 2.68E+03 5.01E+03Maximum 6.34E+05 3.09E+05 8.81E+04One particle has been found on Drigg beach with a combination of processed actinidematerial (i.e. 4.48E+03 Bq of 241 Am) <strong>and</strong> activation products (i.e. 8.65E+03 Bq of 60 Co). Thisfind was recovered in October 2007 <strong>and</strong> no further finds of this type have been recoveredsince this date. There are no site processes that combine these two radionuclides so this findwas probably <strong>for</strong>med within the effluent system from a combination of waste streams.Six alpha-rich stones have been found on the <strong>Sellafield</strong> beach with processed actinideactivity (i.e. 241 Am); two of which also had fission product activity (i.e. mainly 137 Cs but onewith a small amount of 154 Eu). The most probable source of these finds is the absorption ofactivity from the authorised discharges from the <strong>Sellafield</strong> pipeline. The stones may havebeen in close proximity to a hole in the pipeline over an extended period of time <strong>and</strong> thenreleased during the pipeline removal project(s).A beta-rich find sub-group assessment report is currently in draft awaiting further data fromSerco. Up to the 31/03/20<strong>11</strong> 428 beta-rich finds have been categorised as stones <strong>and</strong> 270 asparticles, with 27 of these particles also categorised as excess beta-rich. The radionuclideactivity is almost completely attributed to 137 Cs with low levels of other radionuclides presentin a small number of finds. As the data is more limited than that available <strong>for</strong> alpha-rich findsit was not possible to use the approach taken <strong>for</strong> the source identification of alpha-rich finds<strong>for</strong> the beta rich finds. The age of a mixed fission product source can be estimated if both134 Cs <strong>and</strong> 137 Cs isotopes are present <strong>and</strong> the fuel source is known. In this case, the 134 Csactivity estimates are almost all at the limit of detection <strong>and</strong> the fuel source is not known. Thebest age estimate that can be achieved is there<strong>for</strong>e based on a default Magnox referencefuel type <strong>and</strong> LOD 134 Cs results, which gives a find age of greater than 16 years old. As thisage is greater than 16 years it can not be directly compared with the 35 years estimated <strong>for</strong>alpha-rich finds. The limiting factor in the age calculation comes from the short 134 Cs half lifeof just 2 years compared to the 30 year half life <strong>for</strong> 137 Cs. Table 3.10 shows how quickly the134 Cs half life becomes critical with the Caesium isotope ratio becomes very large after 15years.© Nuclear Decommissioning Authority 20<strong>11</strong>. 48


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Table 3.10. Beta-rich Caesium Isotope Decay Factors.Time After Reprocessing(years)Percentage Activity Remaining137 Cs134 Cs137 Cs / 134 Cs Ratio0 100 100 <strong>11</strong> 97.72 71.46 1.372 95.49 36.50 2.623 93.32 13.32 7.014 91.19 3.47 26.255 89.<strong>11</strong> 0.65 137.6310 79.41 0.02 3530.3815 70.76 1.46E-04 4.86E+0520 63.05 1.76E-07 3.59E+0825 56.19 3.95E-<strong>11</strong> 1.42E+1230 50.07 1.66E-15 3.02E+16Table 3.<strong>11</strong> gives an estimated age range <strong>for</strong> beta-rich finds based on Magnox reference fueltype.Table 3.<strong>11</strong>. Beta-rich Find Estimates.137 CsActivity (Bq)Corresponding 134 CsActivity (Bq) 1Estimated Age(years)137 Cs Mean 1.20E+04 2.24E+01 Greater than 15.7137 Cs Maximum 2.92E+05 1.06E+02 Greater than 20.9137 Cs Minimum 4.75E+02 3.71E+01 Greater than 3.7 21. The age estimates are greater than the calculated value as all the 134 Cs values are at the analysis limitof detection.2. This was an excess beta-rich find with a low 137 Cs activity, which resulted in the low age estimate.A similar assessment to the alpha-rich correlation with particle volume was undertaken <strong>for</strong>beta-rich particles. In this case the 137 Cs activity was found to be more strongly correlated toparticle surface area than to particle volume. As the difference between the surface area <strong>and</strong>volume correlation was small, the assessment was extended beyond the use of all availabledata to finds with a volume greater than 1 mm 3 <strong>and</strong> finds with a volume less than 1 mm 3 . Thecorrelation R values <strong>for</strong> all three assessments were consistently higher <strong>for</strong> surface areacompared to volume by a small amount <strong>for</strong> each of these groups (i.e. R SA /R V = 0.55/0.54,0.59/0.50 <strong>and</strong> 0.80/0.76 respectively). The reasons <strong>for</strong> the small difference can be postulatedas being due to finds created in layers or the activity absorbed towards the centre of theparticle in very porous materials. A further limitation of the analysis was that it was based ondata from only 20 finds due to the difficulty in estimating particle dimension <strong>for</strong> smallparticles. This analysis will be updated when the tranche 3 analysis data becomes available. In a similar way to the alpha-rich finds an obvious starting point <strong>for</strong> a beta-rich finddistribution assessment is to look at simple histogram plots of log trans<strong>for</strong>med 137 Cs activitydata. In this case there are significant numbers of both stone <strong>and</strong> particle beta-rich finds so© Nuclear Decommissioning Authority 20<strong>11</strong>. 49


2.52.72.93.13.33.53.73.94.14.34.54.74.95.15.35.55.75.96.16.36.52.52.72.93.13.33.53.73.94.14.34.54.74.95.15.35.55.75.96.16.36.5SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>histograms <strong>for</strong> both are given in Figure 3.24 <strong>and</strong> 3.25 respectively. The activity data used <strong>for</strong>the histogram plots has been trans<strong>for</strong>med using a log base 10 trans<strong>for</strong>mation to show theshape of the distribution more clearly. There are 428 data points <strong>for</strong> stones <strong>and</strong> 270 <strong>for</strong>particles <strong>and</strong> all the analysis results are greater than the limit of detection.Log Stone Cs137 Activity Histogram45403530Frequency2520151050Log to base 10 of Cs137 ActivityFigure 3.24. 137Cs Stone Activity Histogram.A tail at higher activities is observed <strong>for</strong> stones that may be due to r<strong>and</strong>om outliers (~ 2% oftotal) but is more probably due to either overlapping populations of beta-rich stones (i.e. twoor more populations with overlapping activity ranges) or an unusual 90 Sr to 137 Cs ratio or apopulation that does not fit a statistical distribution type.Log Particle Cs137 Activity Histogram353025Frequency20151050Log to base 10 of Cs137 ActivityFigure 3.25. 137 Cs Particle Activity Histogram.There are fewer outliers <strong>for</strong> particles compared with stones. It is expected that the outliers inboth groups will result in a poor fit to their corresponding log normal probability plots. Theprobability plot <strong>for</strong> stones (Figure 3.26) has a probability p value of < 0.05 <strong>and</strong> hence the log© Nuclear Decommissioning Authority 20<strong>11</strong>. 50


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>normal distribution hypothesis would be rejected. The corresponding particle plot (Figure3.27) gives better hypothesis testing statistics <strong>and</strong> the log normal distribution of 137 Cs activityin beta-rich particles would be accepted. The plots show a similar under representation athigher activities but differ at the lowest activities with stones being under represented <strong>and</strong>particles being over represented. The beta-rich particles show a similar pattern to that found<strong>for</strong> alpha-rich 241 Am activity.Figure 3.26. Probability plot of Log of 137 Cs Stone Activity.Figure 3.27. Probability plot of Log of 137 Cs Particle Activity.As <strong>for</strong> alpha-rich particles, further work on fitting distributions to beta-rich particle data isplanned using data modified by the detection efficiency, as suggested by the statisticalsupport contract (see section 3.2.2.4).© Nuclear Decommissioning Authority 20<strong>11</strong>. 51


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>In summary, the 137 Cs activities in particles appears to be log normally distributed; asummary of the basic statistics is given in the Table 3.12 <strong>and</strong> Table 3.13 below. For stonesthe log normal distribution is not proven but the basic statistics are given <strong>for</strong> comparison withparticles.Table 3.12. Basic statistics <strong>for</strong> 137 Cs activities based on log normally distributed data.Find type => Stones ParticlesMean 4.32 4.08St<strong>and</strong>ard Deviation 0.47 0.38Q1 4.00 3.82Median 4.28 4.06Q3 4.63 4.31Minimum 3.29 2.68Maximum 6.02 5.47Skewness 0.60 0.07Kurtosis 0.69 0.89N 428 270Table 3.13. Basic statistics data in Table 3.12 converted from the natural log values back toactivities.Find Type =>Stones ActivityParticles Activity(Bq)(Bq)Mean 2.<strong>11</strong>E+04 1.20E+04Q1 9.90E+03 6.57E+03Median 1.90E+04 1.15E+04Q3 4.27E+04 2.06E+04Minimum 1.95E+03 4.75E+02Maximum 1.04E+06 2.92E+05The above statistics show that the beta-rich 137 Cs activities have a greater range than thecorresponding 241 Am activity <strong>for</strong> alpha-rich particles. They show that the Groundhog TMSynergy system is capable of detecting beta-rich finds down to activities that correspond tovery low risk.There are more unusual beta-rich finds than alpha-rich finds. A brief summary is given below. <strong>11</strong> stones with maximum activities of ~5E+03 241 Am <strong>and</strong> ~9E+05 Bq 137 Cs2 particles with maximum activities of ~1E+03 241 Am <strong>and</strong> ~3E+04 Bq 137 Cs 2 stones with maximum activities of ~5E+02 60 Co <strong>and</strong> ~8E+03 Bq 137 Cs1 particle with activities of ~2E+02 60 Co <strong>and</strong> ~2E+04 Bq 137 Cs© Nuclear Decommissioning Authority 20<strong>11</strong>. 52


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong> There are only 13 60 Co rich finds, 12 of which are particles <strong>and</strong> is 1 a stone. The 60 Coactivities have a fairly narrow range from ~6E+03 Bq to ~2E+04 Bq. The stone activity was atthe top end of this range. It is judged that there are too few data points <strong>for</strong> a meaningfulstatistical analysis.One particle is judged to be unusual as it contained 4E+03 Bq 241 Am <strong>and</strong> there<strong>for</strong>e was alsocategorised as alpha-rich. It was included in the unusual alpha-rich section above.The details <strong>for</strong> all finds in this group will be provided in the beta-rich sub-group report somembers of the Particle Sources & Pathways Working Group can see if they can possiblyexplain how, when <strong>and</strong> where they were created.There are only 28 excess beta-rich finds, 27 of which are particles <strong>and</strong> a single stone. Thestone contain natural 226 Ra activity <strong>and</strong> was judged to be a granite chip from the adjacentrailway bed. The 137 Cs activities range from ~5E+02 Bq to ~6E+04 Bq. Although 23 of thesefinds have been sent to Serco <strong>for</strong> further analysis it is judged that there are too few datapoints <strong>for</strong> a meaningful statistical analysis. At present the definition of excess beta-rich is auseful indicator of the presence of 90 Sr but is insufficient to accurately predict 90 Sr activities.If the granite chip is ignored only one particle is judged to be unusual as it contained ~7E+02Bq 241 Am. This activity is relatively low at approximately 3 times the mean analysis limit ofdetection (i.e. < 2.7E+02 Bq 241 Am). Although only one particle would be judged as unusualwith respect to the excess beta-rich group they can all be judged as unusual with respect tothe beta-rich group.The SL gamma scan, NPL separated find gamma scan <strong>and</strong> NPL total dissolution activitiesare in close agreement. In addition the NPL results have shown:• Alpha-rich particle activity is mainly due to Plutonium isotopes <strong>and</strong> 241 Am. TheEDX results of the particle surface would suggest that Plutonium <strong>and</strong> Americiumare co-located.• Beta-rich particle activity is mainly due to 137 Cs together with 90 Sr, with a 90 Sr:137 Cs ratio range of 0.04 to 0.91. Approximately half (i.e. 24 out of 47) beta-richparticles had a 90 Sr activity greater than 10 % of the 137 Cs activity.• Destructive analysis confirmed the separated particle gamma scan results.Dose rates measured with a SmartIon Ion chamber have shown:• Gamma dose rate measurements are generally low (i.e. < 2 microSv/h) with amaximum of 0.9 microSv/h <strong>for</strong> alpha-rich particles <strong>and</strong> <strong>11</strong> microSv/h <strong>for</strong> beta-richparticles.• Beta/gamma dose rates <strong>for</strong> alpha-rich are between 1 microSv/h <strong>and</strong> 5.9microSv/h <strong>and</strong> <strong>for</strong> beta rich particles between 1 microSv/h <strong>and</strong> 680 microSv/h.• The tranche 3 contract will provide an explicit SmartIon dose rate to skin dosecalibration <strong>for</strong> comparison with a literature derived conversion multiple of 95 used<strong>for</strong> the first two reports (Cowper ., 2009; Clacher et al., <strong>2010</strong>).Density measurements <strong>for</strong> the first tranche of finds were calculated using mass <strong>and</strong>dimension estimates. For the second tranche an improved haloalkane immersion techniquewas used. The density measures have shown:• Alpha-rich particle densities are low with an average density less than 2 g/cm 3(i.e. typical of silicates, carbonate minerals, <strong>and</strong> igneous rocks). A few alpha-rich© Nuclear Decommissioning Authority 20<strong>11</strong>. 53


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>particles had densities from 2.4 g/cm 3 to 3.3 g/cm 3 , which is most probably due tothe presence of iron oxide (density 5.17 g/cm 3 ) that was detected by the EDXscans.• The beta-rich particles had a wider range of densities with the higher valuesassociated with very small particle sizes from the first sample tranche. For thesecond tranche density estimates were not made on very small particles as theirresults were judged to be unreliable. The average beta-rich particle density was2.7 g/cm 3 with a range of 1.9 g/cm 3 to 6.8 g/cm 3 . The higher end of this range isconsistent with iron oxide (density in range 5 g/cm 3 to 6 g/cm 3 ) as identified on thesurface of particles by EDX.• The pebbles <strong>and</strong> stones, from the first tranche, had an average density of 2.3g/cm 3 with a range from 1.7 g/cm 3 to 3 g/cm 3 . This is consistent with theidentification of s<strong>and</strong>stone, siltstone, tuff, <strong>and</strong> igneous rocks. Most pebbles <strong>and</strong>stones are beta-rich but there are a few alpha-rich stones. The stone (about 5 mmin length) with the highest 241 Am activity (i.e. 5.1E+05 Bq) was included in thelatest analysis tranche. This has a density of 1.24 g/cm 3 <strong>and</strong> has a high Carbon<strong>and</strong> Oxygen content in its surface by EDX.Particle structure based on Alicona <strong>and</strong> SEM images have shown:• Particles have shapes <strong>and</strong> surface textures that range from the expected roundedplate <strong>and</strong> spheres to unexpected rough, jagged, or cracked fragments; sometimescombined in groups. Two particles were wire-like metal swarf (with high 60 Co,Iron, Chromium, <strong>and</strong> Nickel content i.e. stainless steel). Particles with highZirconium content varied from solid rounded stone like chips to conglomerates ofsmall particles.• Particles may have been in the environment <strong>for</strong> many years with the NPL ageestimates ranging from 32 to 48 years based on a simple calculation of the ingrowth of 241 Am from the decay of 241 Pu. Considering the particle ages, they aremore fragile than expected with Electron microscope <strong>and</strong> Alicona imagingshowing fractured solids (that separate into several particles when h<strong>and</strong>led) <strong>and</strong>conglomerates of small particles welded together (that can completely fragmentwhen h<strong>and</strong>led). The fragility of the particles affected both alpha-rich <strong>and</strong> beta-richparticles but has been more problematic <strong>for</strong> the tranche 3 alpha-rich particles thatare undergoing sequential leaching <strong>and</strong> SEM/EDX measurements. The examplein Figure 3.28 below is part of a beta-rich particle from tranche 2.Figure 3.28. SEM Image of part A of beta-rich particle IM090340.© Nuclear Decommissioning Authority 20<strong>11</strong>. 54


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Particle chemical composition based on EDX measurements of the surface have shown:• EDX scans focus on a point of interest or a small area <strong>and</strong> can there<strong>for</strong>e varysignificantly over the surface of a single particle. This variation may be due tochanges in the surface composition or the shielding affects of other materialsstuck to a particle surface. For example, the interfering presence of salt crystalson the particle surface has reduced the in<strong>for</strong>mation available <strong>for</strong> tranche 1 <strong>and</strong> 2particles. To solve this problem tranche 3 particles have been washed prior toEDX measurements.• Iron oxide is strongly represented in both alpha-rich <strong>and</strong> beta-rich particles, as issilica <strong>and</strong> calcite.• Aluminium is present, with the highest concentration associated with a highlyfragmented particle.• The two metallic particles that have a metallic swarf appearance havecomponents found in stainless steel.• Zirconium is present in a range of concentrations but mostly either high (i.e. >80%) or low (i.e.


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>• Boron, Barium, Calcium, sodium, magnesium were the most significant elementsdetected.• The contamination problem is being addressed <strong>for</strong> tranche 3 analysis. Thetranche 3 results will provide quality trace metal analysis <strong>for</strong> both alpha-rich <strong>and</strong>beta-rich particles that will facilitate the characterisation of the particles <strong>and</strong> maysuggest their origins.The Health Protection Agency's (HPA) rat studies key findings (Pellow ., <strong>2010</strong>)has shown:• The intestinal absorption factor (f 1 ) <strong>for</strong> 10 alpha-rich particles ingested by ratsgave the following results. For comparison ICRP 72 default f 1 value are the same<strong>for</strong> all these radionuclides at 5E-04.Table 3.14. f 1 factors derived by HPA in-vivo intestinal absorption study.RadionuclideUptake range (f 1 factor)238 Pu 1.7E-07 to 1.7E-05239/240 Pu239 1.5E-07 to 2.4E-05241 Am 4.0E-08 to 1.8E-05• The HPA recommends that an f 1 factor of 3E-05 be used <strong>for</strong> alpha-rich beachparticles containing 238 Pu, 239/240 Pu <strong>and</strong> 241 Am. Note that this f 1 value has beenused in the HPA beach finds risk assessment <strong>for</strong> all age groups except the 3month infant, where a more conservative figure of 3E-04 was used (Oatwell .,20<strong>11</strong>).• The derived ingestion dose factor using this value <strong>for</strong> f 1 in the ICRP 30 gut modelis 1.9E-08 Sv/Bq. Note that ICRP 30 gut model was preferred by HPA <strong>for</strong> theirrisk assessment compared to the new ICRP 100 human alimentary tract model(Oatwell ., 20<strong>11</strong>)• This dose factor equates to a committed effective does of 1.9 mSv <strong>for</strong> theingestion of a 1E+05 Bq alpha-rich particle from beaches in the vicinity of<strong>Sellafield</strong>.The GIS location maps in this report show the power of a visual interpretation of the beachfind data. GIS has also been a very valuable tool <strong>for</strong> answering specific questions <strong>and</strong>helping to focus the monitoring programme.GIS has been used to identify differences in find locations of alpha-rich particle subgroupssuch as differences in Oxide <strong>and</strong> Magnox origin. These subgroups are those identified in thereview of alpha-rich finds (Hackney et al., <strong>2010</strong>) <strong>and</strong> indicate the most probable origin of thefind with respect to the original fuel type. GIS shows that finds in the Magnox subgroup areall very close to the pipeline compared to those in the Oxide group. If this observation iscorrect <strong>for</strong> all alpha-rich particle finds then the bulk of these finds would be of Oxide fuelorigin. That is, based on the Oxide <strong>and</strong> Magnox ratios in each distance bin (i.e. 2 kmdistance blocks) then 412 alpha-rich particle finds would be of Oxide fuel origin <strong>and</strong> 102 ofMagnox fuel origin. This can be simply shown in the histogram below (Figure 3.30).© Nuclear Decommissioning Authority 20<strong>11</strong>. 56


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Alpha-rich Particle Distance from <strong>Sellafield</strong> Pipeline5040173 finds216 finds50 finds30Frequency<strong>2010</strong>0-10 -8 -6 -4 -2 0 2 4 6 8 10 12 14 16 18 20 22 24Distance in Km (positive is North, negtive is South)Oxide-50 finds Magnox-17 finds Alpha-rich- 514 findsFigure 3.30. Alpha-rich Particle Find Distances from the <strong>Sellafield</strong> pipeline.Further work is planned to improve underst<strong>and</strong>ing the uncertainties associated with theMagnox <strong>and</strong> Oxide designations <strong>for</strong> each find based on SL <strong>and</strong> NPL analysis data. With thisrefined data the apparent Oxide alpha-rich particle find correlation with distance will bereviewed.Another example of how GIS can be employed is the query concerning finds found in theoverlap area between monitoring transects. This analysis can provide in<strong>for</strong>mation onrepopulation rates <strong>and</strong> the potential <strong>for</strong> finds to be located in undisturbed s<strong>and</strong> strata. Theinterim results of this analysis, <strong>for</strong> the <strong>Sellafield</strong> beach area over the <strong>2010</strong>/<strong>11</strong> financial year,are summarised in Table 3.15 <strong>and</strong> Table 3.16 below. The monitoring transects are definedas the area monitored within a tide cycle <strong>and</strong> by default are the daily monitoring areas.Monitoring transects that overlap were identified using GIS extents, which have a 2 metreboundary around monitoring points. The find location within the overlap area was thencompared to the nearest height data points <strong>for</strong> both monitoring periods. Height data are notnecessarily co-located <strong>for</strong> each period but were found to be less than 30 cm from the findlocation <strong>and</strong> often much closer. The transect overlapping with the find transect are definedas; 'be<strong>for</strong>e' overlap - <strong>for</strong> a monitoring period be<strong>for</strong>e the period in which the find was found'after' overlap - <strong>for</strong> a monitoring period after the period in which the find was found'be<strong>for</strong>e <strong>and</strong> after' overlap - <strong>for</strong> monitoring periods both be<strong>for</strong>e <strong>and</strong> after the period inwhich the find was found.© Nuclear Decommissioning Authority 20<strong>11</strong>. 57


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Table 3.15. Overlap find numbers summary <strong>for</strong> <strong>Sellafield</strong> beach monitoring in <strong>2010</strong>/<strong>11</strong>.Number of instances of finds found in areasOverlap Survey Typethat were surveyed be<strong>for</strong>e or after the findrecoveryAlpha-rich Beta-rich TotalBe<strong>for</strong>e overlap survey 20 4 24Be<strong>for</strong>e <strong>and</strong> after overlap surveys 4 2 6After overlap survey 18 9 27No finds were found in all 51 cases in the overlap areas in the 'after overlap' monitoringperiods, which would support a low repopulation rate. To investigate this in more detail anassessment was made of the height difference between the find depth in the s<strong>and</strong> <strong>and</strong> theheight of the s<strong>and</strong> surface during a previous monitoring period (i.e. the be<strong>for</strong>e). This wascompared to the limit of detection <strong>for</strong> the find activity, which indicated if the find should havebeen found during the previous survey. The outcomes to this assessment are:• The find could possibly have been in an existing stratum that was below thedetection capability of the equipment during the previous survey (i.e. outside LODrange).• The find repopulated the area after the previous survey.These options are shown in Figure 3.31 <strong>and</strong> summarised in Table 3.16 below.Scenario 1 - Previous beach level higher than find level by more than LODScenario 2 – Previous beach level higher than find level but less than LODDifference greater than LODFind levelDifference less than LODScenario 3 - Previous level lower than find levelFigure 3.31. Find Overlap Outcomes.Table 3.16. Be<strong>for</strong>e Overlap Survey Analysis <strong>for</strong> Finds within Equipment LOD Range.Reason <strong>for</strong> find being in locationAlpha-rich 1 Number of findsBeta-rich 2 TotalFind possibly in existing stratum - scenario 1 5 0 5Find could be either in existing stratum or2 3 5repopulated area - scenario 2 or 3Find repopulated area - scenario 3 13 1 14Total 20 4 241. S<strong>and</strong> difference values <strong>for</strong> alpha-rich finds - Scenario 1 greater than 5 cm, Scenario 2 greater than 0 cm ANDless than or equal to 5 cm, Scenario 3 less than 0 cm.2. S<strong>and</strong> difference values <strong>for</strong> beta-rich finds - Scenario 1 greater than 30 cm, Scenario 2 greater than 0 cm ANDless than or equal to 30 cm, Scenario 3 less than 0 cm.© Nuclear Decommissioning Authority 20<strong>11</strong>. 58


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>The data used <strong>for</strong> this initial assessment were limited to <strong>Sellafield</strong> beach areas because findrates at other beaches were too low <strong>for</strong> meaningful analysis, but supports the hypothesis thatrepopulation is significant <strong>for</strong> the <strong>Sellafield</strong> area <strong>for</strong> alpha-rich finds. Linking this conclusion tothe low interchange rate between the beach <strong>and</strong> sub-sea proposed earlier would suggestthat finds are predominately moved around from other areas of the beach by tidal action.Further work is planned on automating the GIS overlap assessment tool to help refine thisconclusion.Two reports have been received on statistical techniques that can be employed <strong>for</strong> theanalysis of beach monitoring data. The first report (Scott <strong>and</strong> Tyler, 20<strong>11</strong>a) givestechniques that can be employed to characterise beach finds <strong>and</strong> the second (Scott <strong>and</strong>Tyler, 20<strong>11</strong>b) gives guidance on the best 'statistical' monitoring system <strong>for</strong> future beachmonitoring programmes. The reports' recommendations <strong>and</strong> the initial SL response aregiven in the Table 3.17 <strong>and</strong> Table 3.18 below.Table 3.17. Statistical techniques report recommendations.Recommendations1 Systematic sampling areas required. The spatialheterogeneity of particle distribution may begoverned by sedimentological processes ofbeach accretion/erosion <strong>and</strong> particle selectivitythrough systematic processes of sorting (or lackof) of grain size. Non systematic sampling ofbeaches may lead to bias in the estimatedparticle density. In reporting the sampling ef<strong>for</strong>t,<strong>and</strong> to provide a basis <strong>for</strong> assessing thesystematic coverage of monitoring, it is importantthat the monitoring ef<strong>for</strong>t be reported as afootprint <strong>and</strong> as a proportion of the total availablearea on the beach. Comparison of successivefootprints will provide a basis <strong>for</strong> assessingsystematic coverage, i.e. contiguous areas arecovered <strong>and</strong> the frequency with which areas ofthe beach are sampled.2 Systematic temporal sampling of beachesrequired. The temporal heterogeneity of theparticle population may change with time,specifically the seasonality of tidal <strong>and</strong> waveenergy. Estimating particle density without atemporal perspective may result in an under oroverestimate in particle abundance.SL initial responseThe current reporting system is based on analpha-rich find footprint (i.e. it is judged thatthe 5cm to 10 cm turnover of s<strong>and</strong> over asingle tide will provide fresh area with respectto monitoring <strong>for</strong> 241 Am; which has a limit ofdetection of 1E+05 Bq at 5 cm depth). Thisrecommendation will be reviewed with respectto reporting radionuclide specific footprintsover radionuclide specific monitoring periods.There is little evidence of a seasonal affect inthe current data. The 20<strong>11</strong>/12 monitoringprogramme includes repeat areas <strong>for</strong><strong>Sellafield</strong>, St Bees, Braystones <strong>and</strong> Seascalebeaches. <strong>Sellafield</strong> beach, which isprogrammed <strong>for</strong> the most frequent monitoring<strong>and</strong> has the highest find rates, will providedata that should enhance the seasonalassessment capability. The repeat monitoringat St Bees (x5), Braystones (x3) <strong>and</strong> Seascale(x3) will provide additional supporting data.Future monitoring programmes will takeaccount of any seasonal affects found.© Nuclear Decommissioning Authority 20<strong>11</strong>. 59


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Recommendations3 The reconstruction of the likely particle abundanceon each beach <strong>and</strong> by monitoring event (or rangeof monitoring events – given possible influences ofthe variation in the natural background) will requireseparate assessments of detection capability. Thisis unlikely to be feasible if conducted empirically,but can be achieved through computation.However, this will require careful characterisationof the detector response to known sources atdifferent depths <strong>and</strong> geometries <strong>for</strong> a typicalmonitoring velocity. This may be achievedempirically or through validated Monte Carlosimulations. With such a characterisation coupledwith the triggering routines <strong>for</strong> each detector (<strong>and</strong>type of detector), a relatively simple algorithm canbe developed to independently assess detectionprobability <strong>and</strong> detection limits <strong>for</strong> each monitoringmeasurement <strong>and</strong> depth (note a similar solutionwas derived <strong>for</strong> Dounreay). This will demonstratethe variation in detection capability spatially, withdepth <strong>and</strong> with time <strong>and</strong> thus provide thenecessary in<strong>for</strong>mation on the probability ofdetection to assess the likely detected proportionof each type of particle over predetermined depth.4 If there is a small percentage of censored values,then we would suggest a Kaplan Meier approach,which provides a non-parametric estimate of thecensored value <strong>and</strong> which can then be substitutedwhen determining the summary statistics etc.When there is a greater percentage of censoredvalues (more than 30% but less than 50%), thenKM or ROS methods could be used.5 When system upgrades are implemented (e.g.change in software or detector system), beachtrials should be undertaken to provide thestatistical evidence base to interpret the influenceon long term time series data.6 Trans<strong>for</strong>mations (including use of the Box-Coxtrans<strong>for</strong>mation) be explored to improve validity ofany distributional assumptions.SL initial responseA Monte Carlo simulation report wascommissioned from the beach monitoringcontractor (NUKEM now called Nuvia) by SLin 2008. This report will be reviewed with theNuvia Groundhog TM technical expert to seehow it can be exp<strong>and</strong>ed to include theSynergy detection capabilities.The categorisation of the finds into alpharich,beta-rich, 60 Co-rich <strong>and</strong> excess beta-richeliminates the limit of detection problem.Alpha-rich, beta-rich <strong>and</strong> 60 Co-rich have noLOD values <strong>and</strong> excess beta-rich has just 3LOD 137 Cs results out of 30. Two of theseresults have no positive analysis <strong>and</strong> one is agranite chip with natural 226 Ra activity.Although LOD is not an issue <strong>for</strong> beach finddata, if the categorisation is considered, theadvice given will be considered on a case bycase basis.The negative affect that changes to themonitoring equipment or software has on theability to use statistical assessmenttechniques will be included in the BATassessment of the change. The limitations ofbeach trails to provide the statisticalevidence base needed to assess the changewill also be considered.The log normal trans<strong>for</strong>mation has beenshown to be successful <strong>for</strong> both alpha-rich<strong>and</strong> beta-rich particle finds (see above).However, the Box-Cox <strong>and</strong> othertrans<strong>for</strong>mation will be considered.© Nuclear Decommissioning Authority 20<strong>11</strong>. 60


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Recommendations7 St<strong>and</strong>ard statistical analyses (such as generallinear models, confidence intervals <strong>and</strong>hypothesis tests) be used to explore the beachfinds <strong>and</strong> where appropriate to draw inferencesconcerning the population distributions, factorswhich account <strong>for</strong> the variability in the finds <strong>and</strong>to summarise changes.8 For temporal comparability over monitoringcampaigns, time series of finds should beadjusted <strong>for</strong> monitoring ef<strong>for</strong>t <strong>and</strong> equipmentchanges (see also recommendation 3 <strong>and</strong> 5).9 To assess which beaches should have a highpriority from habit in<strong>for</strong>mation. Monitoring ofthese beaches should have a substantiallygreater footprint (>50 %) consistently to providea better sample of the particle population onthese beaches at a frequency, which iscommensurate with the change in sedimentprofile height between monitoring events. Thischange in sediment height should becomparable to the detection capability <strong>for</strong> theparticle activities of concern (e.g. 100 kBq <strong>for</strong>137 Cs). Beaches with markedly lower particledensities <strong>and</strong> habit characteristics may bemonitored less frequently although morecomprehensively to provide a better estimate ofthe detectable particle population (see alsorecommendation 10).10 The particle density will be greatly influenced bythe depth over which number of particles isestimated. The target detection depth <strong>and</strong>monitoring frequency should be designed toreflect the amount of s<strong>and</strong> <strong>and</strong> there<strong>for</strong>e depthof s<strong>and</strong> being exchanged with the offshoreenvironment (see also recommendation 9).<strong>11</strong> Data layers exist <strong>for</strong> within window, backgroundcounts, detector height <strong>and</strong> beach height data.This provides the possibility of modeling <strong>and</strong>mapping detection capability (probability ofdetection <strong>and</strong> detection limit) <strong>for</strong> each locationon the beach, in a similar way as undertaken atDounreay (Tyler ., <strong>2010</strong>). Such data shouldbe used to provide more particle specific insightinto the likely abundance of particles with depth(see also recommendations 3, 5 & 8).SL initial responseSome of these techniques have already beenemployed <strong>and</strong> will be exp<strong>and</strong>ed, as advised.See response to recommendation 3 <strong>and</strong> 5.Historically, the beach monitoring programmehas focused on high occupancy areas basedon the EA's habit reports. This has beencombined with monitoring of high find rateareas to give a balanced approach. It isjudged that the > 50% footprint has beenachieved <strong>for</strong> beta-rich finds containing 137 Csor 60 Co-rich finds as the 1E+05 Bq limit ofdetection <strong>for</strong> these radionuclides is 30 cm ormore. However, <strong>for</strong> 241 Am the 1E+05 Bq limitof detection is 5 cm making it impracticable toachieve a 50% footprint in the current beachareas over a period of a single tide. Thedefinition of footprint there<strong>for</strong>e needs to bedefined explicitly <strong>for</strong> <strong>Sellafield</strong> finds,recognising that it may be different from thatused at Dounreay. A request will be made tothe Environment Agency <strong>for</strong> the next HabitSurvey to provide more detailed habit datawith respect to the beach occupancy <strong>and</strong> use.The depth of s<strong>and</strong> on beaches between StBees <strong>and</strong> Drigg point is not explicitly known.Practical observations of the appearance <strong>and</strong>disappearance of rocks on the <strong>Sellafield</strong>beach would suggest that an explicit s<strong>and</strong>depth measurement over the 630 hectares ofbeach that can be monitored (or 1400hectares of total beach area) could not berealistically achieved. Consideration will begiven to a practical solution to this problem,such as, an assessment of beach depthbased on the additional data gathered duringthe more frequent visits to the main beachareas.To be considered <strong>for</strong> inclusion into statisticswork programme.© Nuclear Decommissioning Authority 20<strong>11</strong>. 61


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Recommendations12 Consideration to be given to maximise the use ofspatial methods of analysis <strong>and</strong> mapping.13 Evaluation of trends in finds is time series shouldbe carried out, but first the series need to beadjusted <strong>for</strong> monitoring ef<strong>for</strong>t (seerecommendations 3, 5, & <strong>11</strong>). Statistical modelsshould then be used to account <strong>for</strong> seasonality<strong>and</strong> <strong>for</strong> possible autocorrelations. In the firstinstance, regression type models would beappropriate, (such as ARIMA) models to explorechanges over the monitoring period.14 Multivariate statistical techniques includingcluster <strong>and</strong> discriminant analysis could be usedto explore these features further, <strong>and</strong> todistinguish possibly distinct populations of finds.SL initial responseTo be considered <strong>for</strong> inclusion into statisticswork programme.To be considered <strong>for</strong> inclusion into statisticswork programme.To be considered <strong>for</strong> inclusion into statisticswork programme.Table 3.18. Statistical sampling report recommendationsRecommendations1 Consideration should be given to whether thecurrent categorisation of particles also reflectsdifferences in other risk related properties, i.e.properties which may affect their longevity inthe environment <strong>and</strong> solubility within thehuman stomach.2 An assessment as to whether particles behavein a similar manner to the sediment withinwhich they are found. Simply, does the hostsediment have similar size <strong>and</strong> densitycharacteristics to particle.3 Full <strong>and</strong> quantified specification of objectiveswithregard to area, probability of detection <strong>for</strong>specific radionuclides <strong>and</strong> to an appropriatedepth to be agreed. The depth should reflecthabit in<strong>for</strong>mation <strong>and</strong> the temporal <strong>and</strong> spatialdynamic of the beach.4 Following an assessment of beach dynamics,particle abundances, beach users’ habits etc,the regulator <strong>and</strong> other agencies should specify(in consultation with other parties) a minimumbeach coverage, frequency <strong>and</strong> detectioncapabilities - depth <strong>and</strong> activity (which shouldbe reviewed regularly).SL initial responseIt is judged that the categorisation of finds ishelpful in assessing risk to the critical group. Forexample, significant ef<strong>for</strong>t that been expended inmeasuring the parameters of alpha-rich finds(i.e. the high risk group). Consideration is givento the relative risks of sub-groups as new databecomes available (e.g. Magnox vs Oxidesubgroups etc.).The variation in s<strong>and</strong> characteristics issignificant over the range of beaches monitored<strong>and</strong> within individual beaches. To overcome thisproblem consideration is being given to thecharacterisation of s<strong>and</strong> in a pocket around thefind. This would give in<strong>for</strong>mation on thesimilarities between the find <strong>and</strong> local s<strong>and</strong> <strong>and</strong>the variation in s<strong>and</strong> between different locations.The objectives are reviewed be<strong>for</strong>e setting eachyear's monitoring programme, taking account oftechnical issues <strong>and</strong> learning from experience.Explicit analysis <strong>and</strong> statistical objectives will beconsidered when developing future workprogrammes <strong>and</strong> will be incorporated into themonitoring programme review.The regulator <strong>and</strong> other stakeholders require SLto propose a monitoring programme thatincorporates the minimum beach coverage,frequency, <strong>and</strong> detection capabilities - depth <strong>and</strong>activity. Where possible this should be based ona statistical analysis but the statistical samplingreport recognises that there are limitations tothis approach. The 20<strong>11</strong>/12 repeat visits willallow further refinement to future monitoringprogrammes.© Nuclear Decommissioning Authority 20<strong>11</strong>. 62


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Recommendations5 With regard to the implementation of a beachmonitoring campaign using the existing detectorsystem, the most practicable in terms of individualbeach coverage, would be systematic samplingwhich is efficient <strong>and</strong> ensures an even coverage ofthe area of interest.6 It is critical that the system of monitoring remainsstable over time <strong>and</strong> consistently deployed toachieve as large a footprint as possible. When asystem is upgraded, it is important that the twosystems operate together <strong>for</strong> a short period ofoverlap to ensure that past data can be calibratedto ensure that they are equivalent to the newerdata being acquired OR beach trials are per<strong>for</strong>medto compare detection capability.SL initial responseSystematic sampling has been incorporatedinto beach monitoring programmes but not ina consistent way since the start ofmonitoring. This consistency issue will beaddressed to maximise the benefits gainedfrom a systematic sampling regime.Greater consideration will be given duringthe annual BAT (<strong>for</strong>mally BPM) review to theimportance of consistency of the monitoringtechnique with respect to statistical analysis.That is, the advantages of introducing a newmonitoring technique needs to be weighedagainst the increased uncertainty itintroduces to the statistical analysis of themonitoring results. The need <strong>for</strong> acomparison between existing <strong>and</strong> newmonitoring systems is recognised, <strong>for</strong>example, it was as incorporated into theOctober 2009 beach trails <strong>for</strong> both Evolution2 <strong>and</strong> Synergy monitoring systems.Recommendations1 Success interpretation of the provenance (e.g.recent arrival or older particle having beenuncovered by erosion) abundance of finds <strong>and</strong>whether there has been a systematic change,perhaps as a result of environmental disturbance,requires consistent <strong>and</strong> frequent monitoring.Interpretation of monitoring ef<strong>for</strong>t <strong>and</strong> the particledensity described also benefits from additionalin<strong>for</strong>mation, including evidence of beach heightchange, the degree of spatial overlap withprevious surveys <strong>and</strong> an assessment of detectioncapability with space <strong>and</strong> time. Theimplementation of real time kinematic GPS canprovide additional suitable data to assess beachheight variation (if coverage is comprehensive<strong>and</strong> undertaken at a suitable frequency). GISfootprint mapping will provide the quantitativespatial perspective of the frequency with whichareas of a beach are being monitored.2 In<strong>for</strong>mation about the current speed <strong>and</strong> direction(predominant <strong>and</strong> in storm) <strong>for</strong> the offshoreenvironment round <strong>Sellafield</strong> <strong>and</strong> other beaches.On particle characteristics, eg propensity to breakup.3.2.3 Analysis ConclusionsData RequirementSL initial responseThe current 20<strong>11</strong>/12 monitoring programmeincorporates repeat areas that are consistently<strong>and</strong> frequently monitored. The data <strong>and</strong>experience gained from monitoring theseareas will help define future years’ monitoringprogrammes. A GIS programme has beendeveloped to show overlap areas <strong>and</strong> identifythe finds in these areas that are either lower orhigher with respect to the s<strong>and</strong> height duringthe previous monitoring period.The Aquadopp monitoring data, measuredadjacent to the end of <strong>Sellafield</strong> pipeline, <strong>and</strong>the <strong>Sellafield</strong> meteorological data will bereviewed to identify the frequency <strong>and</strong>intensity of storms affecting beaches beingmonitored <strong>and</strong> relate this data to finds madeafter the storms.• The activity in alpha-rich particles is mainly due to 241 Am <strong>and</strong> Plutonium isotopes,which appear to be co-located based on EDX surface measurements. The EDXmeasurements would also suggest that the actinide activity is in cluster rather than© Nuclear Decommissioning Authority 20<strong>11</strong>. 63


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>homogeneously spread throughout the volume of the particle (see current bun modelin Figure 3.29.• The assessment of the actinide activity has identified their source as historicprocessed Magnox <strong>and</strong> Oxide fuels, with the activity within a particle being eitherpredominately of Magnox origin, predominately of Oxide origin or a mixture of both.• The age of the alpha-rich finds is consistent with the Magnox <strong>and</strong> Oxide fuel typesprocessed between mid 1960 to the early 1980s <strong>and</strong> not to more recent fuelreprocessing (i.e. ages between 45 years <strong>and</strong> 25 years).• The actinide activity in alpha-rich particles appears to be log normally distributed <strong>and</strong>shows that the lowest 241 Am activities are close to the expected minimumGroundhog TM Synergy system’s limit of detection.• The HPA have advised that an in-vivo uptake factor (f 1 ) of 3.0E-05 should be used <strong>for</strong>alpha-rich beach finds containing 238 Pu, 239/240 Pu <strong>and</strong> 241 Am.• Beta-rich particles appear to have more diverse origins than alpha-rich particles withcontamination processes <strong>and</strong> creation directly from source material having a role.• The 137 Cs activity in beta-rich particles appears to be log normally distributed.• The age of beta-rich finds, based on their mean Caesium isotope ratios <strong>and</strong> aMagnox fuel origin, is greater than 16 years. It is not possible to tell if the beta-richfind ages are consistent with alpha-rich finds due to the limitations imposed on theage calculation by the limit of detection of the 134 Cs activity analysis.• count rate <strong>and</strong> dose rate monitoring data has been shown to be suitable <strong>for</strong>use as an initial screening tool <strong>for</strong> all types of find.• On going work with respect to further analysis <strong>and</strong> assessment techniques will buildon what has been achieved to date with the main focus on exp<strong>and</strong>ing the use ofexisting <strong>and</strong> new data sources.3.3 Offshore MonitoringSeparate reports were produced in 2009 (Clough, 2009) <strong>and</strong> <strong>2010</strong> (Clough, <strong>2010</strong>) to providean update on the ef<strong>for</strong>ts <strong>and</strong> progress being made towards offshore monitoring. Thesereports continue to be available via the sellafieldsites.com website. For 20<strong>11</strong> the offshoreprogress update is being provided here as part of a joint report covering all particles in theenvironment work.3.3.1 Hydrodynamic Modelling ContractIn <strong>2010</strong>, SL reported that a contract had been awarded to carry out higher resolutionmodelling of particle transport <strong>and</strong> dispersion off the <strong>Sellafield</strong> coastline. WestlakesScientific Consulting (WSC) was the successful contractor, supported by Cefas as subcontractor.Cefas had undertaken some initial particle modelling work under contract to theEnvironment Agency <strong>and</strong> this was to be developed further utilising the combined knowledge,experience <strong>and</strong> resources of WSC <strong>and</strong> Cefas. WSC had considerable experience in workingwith <strong>Sellafield</strong> <strong>Ltd</strong>, including the development <strong>and</strong> running of environmental models <strong>for</strong> theIrish Sea.The contract was set-up to deliver the following tasks (described further in the <strong>2010</strong> report):1. Analysis <strong>and</strong> interpretation of existing swath bathymetry data,2. Statistical analysis to optimise offshore monitoring design,3. Measurements of bed shear stress in the vicinity of the <strong>Sellafield</strong> discharge pipeline,4. 3D hydrodynamic modelling,5. Deliberate particle tracer release (evaluation) <strong>and</strong>6. Literature review of airborne transport of particles in the Cumbrian beach environment© Nuclear Decommissioning Authority 20<strong>11</strong>. 64


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Work commenced following a start-up meeting between SL <strong>and</strong> the contractors in February<strong>2010</strong>, with early focus concentrating on delivery of tasks 1, 3 & 6, with delivery of tasks 2, 4 &5 scheduled <strong>for</strong> later in the programme.Un<strong>for</strong>tunately <strong>and</strong> unexpectedly, WSC went out of business during the summer of <strong>2010</strong>,resulting in the collapse of the hydrodynamic modelling contract, presenting SL with anumber of problems, both in relation to delivery of the above; <strong>and</strong> other work <strong>for</strong> the site thatwas reliant on the services of WSC.This contract had been in place <strong>for</strong> approximately six months when WSC went intoadministration, meaning that work had started on all of the tasks. At that time task 6 hadbeen completed by WSC; <strong>and</strong> tasks 1 & 3 were well underway with Cefas. Cefas had alsostarted some of the evaluation work to deliver task 5. Tasks 2 <strong>and</strong> 4 were to be deliveredthrough collaborative ef<strong>for</strong>t between WSC <strong>and</strong> Cefas <strong>and</strong> were in the early preparatorystages, being reliant on output from the other tasks to be completed.A major part of the work to improve the modelling was the gathering of new field data, inparticular the deployment of equipment onto the seabed to measure bed shear stress as partof task 3. In June <strong>2010</strong> an Aquadopp current profiler was deployed onto the seabed close tothe end of the existing sea pipeline diffusers. The plan was <strong>for</strong> a total deployment period ofapproximately six months. With a typical operating battery life lasting between 60 <strong>and</strong> 90days, the total deployment would be achieved by replacing the Aquadopp every 2 months(weather permitting). At the time of WSC folding, Cefas had the first Aquadopp in the watercollecting data <strong>and</strong> the timeframe <strong>for</strong> the first service/replacement visit was approaching.Without a contract in place there was a real risk that the Aquadopp work would not becompleted <strong>and</strong> a number of reports under preparation <strong>for</strong> other tasks would not be issued.The contract in place <strong>for</strong> the work was between SL <strong>and</strong> WSC; <strong>and</strong> due to the collaborativeelements of the contract, it was not legitimate on commercial grounds to re-award or transferthe remainder of the total contract directly to Cefas. However, the fact that equipment(Aquadopp <strong>and</strong> frame) had already been deployed <strong>and</strong> reports <strong>for</strong> other tasks were alreadybeing prepared by Cefas, meant that a limited contract was considered to be legitimate,allowing the ‘Cefas-only’ elements of the contract, that were already underway, to becompleted.Inevitably the need to prepare <strong>and</strong> issue a new contract did introduce delays <strong>for</strong> receipt offinal reports, against the original schedule, <strong>and</strong> has led to a re-think on the approach beingtaken <strong>for</strong> offshore monitoring. That said, the progress made against the completed tasks ofthe contract is reported below. Due to the collapse of the contract with WSC no progress isreported against tasks 2, 4 <strong>and</strong> 5. Discussion on the impacts of the failure to deliver thiswork can be found in Section 7.3 setting out the <strong>for</strong>ward programme <strong>for</strong> offshorecharacterisation <strong>and</strong> monitoring.3.3.2 Progress on analysis <strong>and</strong> interpretation of existing swath bathymetry dataIn the <strong>2010</strong> update report, SL reported the initial findings from the Cefas analysis <strong>and</strong>interpretation of the existing swath bathymetry data (see Figure 3.32), indicating that the datadid not fully satisfy the requirements of the transport <strong>and</strong> dispersion modelling work.In December <strong>2010</strong>, Cefas were able to provide the finalised report on the swath bathymetrydata review; <strong>and</strong> provided the following conclusions:© Nuclear Decommissioning Authority 20<strong>11</strong>. 65


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>[the <strong>Sellafield</strong> <strong>Ltd</strong> dive team vessel]Figure 3.32. Swath bathymetry along in the Cumbrian coastline within the Fledermaus 3Dvisualisation software. The position of the pipe (black line) <strong>and</strong> the navigation buoys (redcubes) are shown.SL accepts the Cefas conclusions <strong>and</strong> has been exploring options <strong>for</strong> obtaining an additionalswath bathymetry survey, including discussions with Environment Agency on use of theirsurveying capability. Further swath bathymetry survey work is discussed under Section 7.3.© Nuclear Decommissioning Authority 20<strong>11</strong>. 66


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>A full copy of the Cefas report is provided to the Environment Agency as part of thesubmission package that accompanies this report.3.3.3 Progress on measurements of bed shear stress in the vicinity of the <strong>Sellafield</strong>discharge pipelineA number of packages of work were included under this task, the major piece of work beingthe deployment of an Aquadopp current profiler. Other supporting packages included anevaluation of the feasibility to deploy Woodhead drifters <strong>and</strong> a review of historical currentmeter records.As reported in the <strong>2010</strong> report, Cefas were able to confirm that the required numbers ofWoodhead drifters were available <strong>and</strong> that a supplier had been identified to produce the tagsthat would provide details of what in<strong>for</strong>mation would need to be returned by the finder of thedrifter. Un<strong>for</strong>tunately the collapse of the contract with WSC led to the decision not to pursuethe Woodhead drifter release at this stage. Whilst the release of the drifters is relativelystraight<strong>for</strong>ward (released as a package by h<strong>and</strong> from a vessel at a recorded location) thefollow-up work of waiting <strong>for</strong> the drifters to come ashore <strong>and</strong> logging <strong>and</strong> interpreting theresulting data would have taken several months. The deployment of Woodhead drifters willremain an option <strong>for</strong> future consideration.Current meter data from the <strong>Sellafield</strong> pipeline (water depth approximately 15 mbelow chart datum), were recorded by Cefas (then MAFF) at various time periods betweenMay 1981 <strong>and</strong> March 1988. These data have been reviewed to help improve the descriptionof the hydrodynamics immediately off the Cumbrian coast at <strong>Sellafield</strong>, with the aim ofreducing uncertainty in numerical model predictions. Of particular interest are the indicationsof the direction of near bed currents during episodic events (e.g., storm waves, storm surge,<strong>and</strong> wind-driven currents) when the <strong>Sellafield</strong>-derived particles are most likely to be movingalong the sea floor.The current meter data were extracted from the Cefas data archive system <strong>and</strong> subjected toa data quality analysis. The currents were measured using Plessey M021 propeller-typecurrent meters (Figure 3.33). The direction is determined from an internal compass thatregisters the change in instrument heading as the current meter vane reorients to the flow.Current directions were corrected <strong>for</strong> magnetic declination. The data were originally stored inbinary <strong>for</strong>m on magnetic tapes <strong>and</strong> have now been converted into computer data files.© Nuclear Decommissioning Authority 20<strong>11</strong>. 67


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Figure 3.33. Plessey M021 current meter. Source: NOAA (National Oceanic <strong>and</strong> AtmosphericAdministration) Photo Library <strong>and</strong> the Oceanographic Museum of Monaco. Photographer: Y. Berard.The review of historical meter data allows <strong>for</strong> comparison with the data gathered during theAquadopp deployment. This receives some discussion in the Aquadopp report produced byCefas, discussed further in the section below. Prior to the completion of the Aquadopp work,Cefas reported the following conclusions from the historical review.As previously discussed, an Aquadopp current profiler was deployed in the vicinity of the seapipeline end in June <strong>2010</strong>. Deployment was achieved through collaboration with the<strong>Sellafield</strong> Dive Team <strong>and</strong> Cefas. The <strong>Sellafield</strong> Dive Team operates the vessel Eagle thatwas used to deploy, service <strong>and</strong> recover the Aquadopp <strong>and</strong> its supporting frame (Figure3.34).© Nuclear Decommissioning Authority 20<strong>11</strong>. 68


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Figure 3.34. Aquadopp <strong>and</strong> l<strong>and</strong>ing frame being deployed from the <strong>Sellafield</strong> <strong>Ltd</strong> vessel, Eagle.The original proposal was <strong>for</strong> the Aquadopp to be deployed without the need <strong>for</strong> divers.However, on the first deployment visit the decision was taken to deploy divers in order toconfirm that the l<strong>and</strong>ing frame was in a stable <strong>and</strong> upright position on the seabed <strong>and</strong> toensure that all ropes etc were kept away from the Aquadopp, to avoid any snagging <strong>and</strong>thereby help maximise data gathering efficiency. Divers were deployed again during the firstservice/replacement visit to ensure safe delivery of the frame <strong>and</strong> Aquadopp back to thesurface. Divers were not deployed on all subsequent visits.The Aquadopp was scheduled <strong>for</strong> a deployment duration of approximately 6 months. Thecollapse of the WSC contract placed this in jeopardy, but the placing of a limited contract hasallowed <strong>for</strong> an extended deployment of approximately 8 months. This extension has meantthat data coverage captured conditions during the summer, autumn <strong>and</strong> winter months <strong>and</strong>has included a number of notable storm-event periods.The final report on the analysis <strong>and</strong> interpretation of results was issued in June 20<strong>11</strong> <strong>and</strong> willthere<strong>for</strong>e need to be considered further by SL be<strong>for</strong>e any decisions are taken on how thismay in<strong>for</strong>m decisions on seabed monitoring. A full copy of the report is included as part ofthe submission package to the EA. For in<strong>for</strong>mation the Executive Summary from the reportis copied below.© Nuclear Decommissioning Authority 20<strong>11</strong>. 69


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong> © Nuclear Decommissioning Authority 20<strong>11</strong>. 70


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>3.3.4 Progress on the literature review of airborne transport of particles in theCumbrian beach environmentBe<strong>for</strong>e going into administration, WSC provided a report to SL on a review they hadundertaken on aeolian sediment transport. The review relates to a recommendation madeby Cefas who concluded that aeolian processes could be responsible <strong>for</strong> particle transportalong the beaches at <strong>and</strong> around <strong>Sellafield</strong>. Although not directly relevant to modellingoffshore particle transport <strong>and</strong> dispersion, aeolian transport is a potentially importanttransport mechanism.The WSC report collates available in<strong>for</strong>mation on the Cumbrian beach environment <strong>and</strong>considers the nature of the radioactive particles that have been recovered in the context ofpublished work on sediment transport in beach environments <strong>and</strong> aeolian transport theory.An extract from the conclusions of the report are provided below.© Nuclear Decommissioning Authority 20<strong>11</strong>. 71


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong> © Nuclear Decommissioning Authority 20<strong>11</strong>. 72


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>The potential <strong>for</strong> wind-blown transport <strong>and</strong> <strong>for</strong> very small radioactive particles to becomesuspended has been the subject of continued discussion <strong>and</strong> particle inhalation has beenconsidered by the Health Protection Agency in their risk assessment. Further discussions areto be held between SL, Environment Agency <strong>and</strong> the Health Protection Agency as part of apackage of supplementary work that HPA have been asked to do by the EA (discussedfurther in Section 5). During <strong>2010</strong> Nuvia began operating air sampling equipment duringparticle recovery operations on the beaches. This was introduced as a precautionarymeasure as part of the response to an investigation into the possibility <strong>for</strong> particle intake bybeach monitoring personnel (discussed further in Section 5). The results from the airsampling <strong>and</strong> the completed investigation show no evidence <strong>for</strong> airborne radioactive particlesor their inhalation. Air sampling during particle recovery operations has now become routine.3.4 Monitoring R&D: Evaluation of Airborne Gamma SpectrometryA key piece of ongoing R&D work that has continued through <strong>2010</strong>/<strong>11</strong> has been themodelling of gamma spectrometry systems, undertaken by the Scottish UniversitiesEnvironmental Research Centre. Previous modelling had indicated that the AirborneGamma Spectrometry (AGS) operated using helicopter, might be capable of detecting<strong>Sellafield</strong> radioactive particles in the environment. This work has been further developedusing data from the Nuvia beach monitoring operations, in order to simulate detection of<strong>Sellafield</strong> particles on local beaches, taking account of the typical background activity levelsthat are observed.This work required an extension to the original contract. The issued report was submitted toSL in June 20<strong>11</strong> <strong>and</strong> is included in the submission package to EA with this report. Forin<strong>for</strong>mation, SL note the following extracts from the report. © Nuclear Decommissioning Authority 20<strong>11</strong>. 73


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>The findings from this latest modelling work will need to be discussed with the EnvironmentAgency to determine any need <strong>for</strong> further work. Based on the reported detection capabilities;the need to post-process survey data; <strong>and</strong> the issues related to use of a low-flying helicopterover public beaches; the continued use of the Softrak Synergy system to achieve large areabeach monitoring, appears to remain justified.© Nuclear Decommissioning Authority 20<strong>11</strong>. 74


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>4. Regulator <strong>and</strong> Stakeholder engagementThroughout all aspects of the work described in this report, <strong>Sellafield</strong> <strong>Ltd</strong> seeks to maintainopen <strong>and</strong> honest communication with regulatory bodies <strong>and</strong> a wide range of otherstakeholders. The methods of communication are varied <strong>and</strong> include general updates <strong>and</strong>availability of large amounts of in<strong>for</strong>mation via the sellafieldsites.com website; through toattendance at specific meetings; <strong>and</strong> the production of detailed written documents (this report<strong>for</strong> example).The following provides further detail on the main processes <strong>for</strong> communication <strong>and</strong>engagement.4.1 General Engagement with the Environment AgencyThe Environment Agency specifies the following requirements on <strong>Sellafield</strong> <strong>Ltd</strong> <strong>for</strong> theparticles in the environment work scope:As part of managing the delivery of work against the above specification, <strong>Sellafield</strong> <strong>Ltd</strong> <strong>and</strong>the Environment Agency communicate regularly via telephone, email, letter; <strong>and</strong> face-to-facemeeting on the full range of aspects associated with this work. Face-to-face meetings aretypically held at least quarterly throughout the year, providing an opportunity <strong>for</strong> generalupdates to be provided <strong>and</strong> <strong>for</strong> specific items to be discussed. Where a decision point isreached that requires agreement or approval by the Environment Agency, SL will make a<strong>for</strong>mal written proposal be<strong>for</strong>e proceeding.© Nuclear Decommissioning Authority 20<strong>11</strong>. 75


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Communications <strong>and</strong> engagement with the Environment Agency is not limited to one-to-onedialogue. Where specific items require (or benefit from) wider discussion <strong>and</strong> input fromothers, separate meetings or Working Groups have been held or established (<strong>for</strong> examplethe Multi-Agency Workshop <strong>and</strong> <strong>Sellafield</strong> Seabed Monitoring Working Group, bothdescribed below).<strong>Sellafield</strong> <strong>Ltd</strong> is also required to prepare written submissions to the Environment Agency.This report <strong>for</strong>ms the annual programme update submission that is referred to in the CEARspecification.<strong>Sellafield</strong> <strong>Ltd</strong> regards the need <strong>for</strong> effective <strong>and</strong> constructive communications with theEnvironment Agency on this complex subject as essential; <strong>and</strong> believes the processesemployed to achieve this, continue to be productive <strong>and</strong> ensure that good progress continuesto be made.4.2 Multi-Agency WorkshopIn November <strong>2010</strong> the Environment Agency hosted their third multi-agency workshop on thesubject of <strong>Sellafield</strong> radioactive particles in the environment. As with the previous workshops<strong>Sellafield</strong> <strong>Ltd</strong> delivered a number of presentations, providing updates on the work done todate <strong>and</strong> inviting discussion on the future direction <strong>and</strong> objectives <strong>for</strong> the work. In addition tothe material presented on the day, <strong>Sellafield</strong> <strong>Ltd</strong> also produced a paper in advance of theworkshop, providing background <strong>and</strong> further in<strong>for</strong>mation to help facilitate discussions on theday. The workshop was attended by various government agencies <strong>and</strong> bodies (including theHealth Protection Agency; Food St<strong>and</strong>ards Agency, <strong>and</strong> Committee on Medical Aspects ofRadioactivity in the Environment) <strong>and</strong> Local Authorities.This workshop <strong>for</strong>um provides an excellent opportunity <strong>for</strong> <strong>Sellafield</strong> <strong>Ltd</strong> to engage directlywith regulators <strong>and</strong> stakeholders; <strong>and</strong> SL will continue to support future workshops that areorganised.4.3 COMAREThe Committee on Medical Aspects in the Environment (COMARE) <strong>Sellafield</strong> Working Groupmet in February 20<strong>11</strong> with a main focus on the particles in the environment work. TheEnvironment Agency provides a routine report summary to COMARE that details theprogress being made. The February meeting was only the second time that SL had beeninvited to attend the <strong>Sellafield</strong> Working Group. At the meeting, SL provided verbal updateson key issues of interest to the committee. The meeting was constructive, <strong>and</strong> provided anopportunity <strong>for</strong> SL to listen to <strong>and</strong> discuss some the committee’s questions first h<strong>and</strong>.4.4 <strong>Sellafield</strong> Seabed Monitoring Working GroupThe Seabed Monitoring Working Group has continued to meet through <strong>2010</strong>/<strong>11</strong> with a keymeeting held shortly after the November multi-agency workshop. In addition to the usualmembers of the Group from EA, HPA <strong>and</strong> FSA, the NDA attended this meeting to discussthe way <strong>for</strong>ward <strong>for</strong> seabed monitoring. The main focus of the Group <strong>for</strong> <strong>2010</strong>/<strong>11</strong> hascontinued to be the risk assessment work that HPA <strong>and</strong> FSA have been conducting <strong>and</strong> thatwas issued in April 20<strong>11</strong>. Through 20<strong>11</strong>/12 SL will consult the Group on the development ofan offshore monitoring contract specification.© Nuclear Decommissioning Authority 20<strong>11</strong>. 76


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>4.5 Local stakeholders<strong>Sellafield</strong> <strong>Ltd</strong> has continued to communicate with local stakeholders on the work being done.This has included attendance <strong>and</strong> provision of in<strong>for</strong>mation to various group meetings,including Parish Councils <strong>and</strong> the West Cumbria Sites Stakeholder Group; <strong>and</strong> responding toquestions raised by individuals. SL has also produced an in<strong>for</strong>mation leaflet (see Figure 4.1)on the beach monitoring programme, copies of which are available to local residents <strong>and</strong>visitors. An example of where <strong>Sellafield</strong> <strong>Ltd</strong> has responded to concerns expressed by localstakeholders is in the scheduling of beach monitoring to avoid the busy tourist times ofEaster <strong>and</strong> the summer school holidays <strong>for</strong> 20<strong>11</strong>/12.Figure 4.1. In<strong>for</strong>mation leaflet produced by SL to advise local residents <strong>and</strong> visitors on thebeach monitoring programme.© Nuclear Decommissioning Authority 20<strong>11</strong>. 77


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>5. Health Risk Assessment5.1 Health Protection Agency assessmentAs stated in the Introduction <strong>and</strong> Background sections of this report, quantifying the riskposed by radioactive particles is the main objective of this project. Since the start of theproject <strong>Sellafield</strong> <strong>Ltd</strong> have shared data with the EA <strong>and</strong> HPA to help meet this objective. The<strong>for</strong>mal advice given by the HPA in 2007 that, “no special precautionary actions are necessaryat this time regarding access to or use of these beaches”, has been reviewed <strong>and</strong> remainsvalid to date.In May 2008 the EA asked HPA to undertake an assessment of the health risks to peopleusing the beaches along the Cumbrian coast from contaminated objects on the beaches. Thereport was published in April 20<strong>11</strong> <strong>and</strong> the Executive Summary is reproduced below: © Nuclear Decommissioning Authority 20<strong>11</strong>. 78


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong> 137 Cs 5.2 Uncertainty <strong>and</strong> recommendations <strong>for</strong> future workThe HPA report outlined the uncertainties associated with the risk assessment <strong>and</strong>recommendations <strong>for</strong> how some these can be minimised (others are inherent to theapproach used, e.g. estimation of chance of encounter). Recommendations were also made<strong>for</strong> ensuring that the current monitoring approach/programme is adequate.90 Sr is not directly detected using the Evolution 2 or Synergy systems, but rather as aresult of detection of 137 Cs. It is not clear whether there are significant numbers ofobjects on the beach that only contain 90 Sr or have low 137 Cs: 90 Sr ratios. It wasrecommended that further work is completed to determine, <strong>and</strong> if necessary improve,the 90 Sr detection capability of Synergy 2 (to activities greater than 400 kBq).The minimum detectable activity of the Synergy system corresponds to particles ofabout 300 μm. This raises the question about whether smaller particles remainundetected on the beaches with the potential to be inhaled. It was recommended thatenvironmental monitoring data (e.g. HVAS) should be reviewed to determine whetherthis is a potential exposure pathway.© Nuclear Decommissioning Authority 20<strong>11</strong>. 79


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>The numbers of alpha-rich finds have increased since the introduction of the Synergysystem. This may be attributable to the improvements in detection sensitivity but thishas not been proven. If there are more alpha-rich finds present on the beaches thanpreviously thought, the risk assessment will need to be reviewed.Capabilities of the beach monitoring systems <strong>for</strong> detection of alpha-rich objects atdepth are limited by the physical nature of the detection process <strong>and</strong> the availabletechnology. These capabilities may not meet the requirements needed to ensuredetection of particles that could give rise to a significant risk to health if ingested. Iftechnical advances are made that would allow more reliable detection of alpha-richparticles at greater depths, these should be considered <strong>for</strong> implementation.For some beaches, particularly where the number of objects found is low, theuncertainties in the estimate of the actual number of objects present can be quitelarge. The accuracy of the risk assessment would be improved when more monitoringdata is available <strong>and</strong> if more accurate data were available on the depths of particlesdetected.These recommendations will be discussed by <strong>Sellafield</strong> <strong>Ltd</strong>, the EA <strong>and</strong> the HPA at ameeting in July 20<strong>11</strong>. Also, since this report was produced, HPA have been asked by the EAto update their assessment based on data collected since the introduction of the Synergymonitoring system in August 2009. A draft proposal has been produced <strong>for</strong> this work <strong>and</strong> thefindings are expected to be reported in 20<strong>11</strong>/12 financial year.5.3 Risks to workersThe HPA assessment focuses on health risks from radioactive objects to the public,accounting <strong>for</strong> both low probabilities of contact with objects <strong>and</strong> low levels of harm if contactwere to occur. Their report does not specifically address issues associated with workers whoobtain data <strong>and</strong> seek <strong>and</strong> recover radioactive objects from beaches. We have sought advicefrom a qualified Radiological Protection Advisor employed by <strong>Sellafield</strong> <strong>Ltd</strong> to providereassurance that adequate measures have been taken by Nuvia to protect its workers.5.3.1 Nuvia operationsUse of Groundhog Evolution2 <strong>and</strong> Synergy, <strong>and</strong> associated recovery methods, requiresspecific assessment of risk to Groundhog operators. Operations involve response to a ‘find’alarm in the Groundhog cabin <strong>and</strong> then use of h<strong>and</strong>held radiation instruments <strong>and</strong> tools toretrieve objects from the beach. Objects are transferred to sealed containers <strong>for</strong> transport to<strong>Sellafield</strong> site <strong>for</strong> analysis.A number of the hazards identified in the HPA reports (Brown <strong>and</strong> Etherington, 20<strong>11</strong>; Oatway., 20<strong>11</strong>) apply <strong>for</strong> these operations, including potential <strong>for</strong> inhalation, ingestion, skincontact <strong>and</strong> wounds. These are commented on below, together with some of the associatedcontrols.Activity levels of particles are low enough not to cause significant external radiation tooperators <strong>and</strong> so this is not considered further as a significant protection issue. The HPAreport came to the same conclusion <strong>for</strong> the public. Of course, as part of compliance withtransport regulations, radiation measurements of containers are per<strong>for</strong>med prior to transfer ofthe finds to <strong>Sellafield</strong> site.Inhalation, ingestion, <strong>and</strong> wounds are routes where radioactivity can deliver internal dose.The deliberate proximity of the operators to found objects negates the low probabilities© Nuclear Decommissioning Authority 20<strong>11</strong>. 80


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>accounted in assessing risk <strong>for</strong> the public. Controls <strong>and</strong> measures are applied <strong>for</strong> thesespecific operations to ensure suitable protection of the operators. In that operations to find<strong>and</strong> retrieve objects are on public beaches, a dose level of significance <strong>for</strong> workers is takenas 1 mSv per annum, corresponding to a 5x10 -5 overall fatal risk (ICRP, 2007).5.3.2 InhalationOnce a find is located by the Groundhog systems, the operator needs to remove materialsurrounding the object. Often conditions are inclement, windy, not always wet, <strong>and</strong> so thereis potential <strong>for</strong> material, e.g. s<strong>and</strong>, to become airborne. Calculations on size of respirablematerial show that potential radioactivity associated with the particulate size is low (i.e.approximately 0.1 Bq of actinide activity) <strong>and</strong> presents little hazard unless large numbers ofparticles are inhaled. For example, the inhalation of approximately 375 particles of averagerespirable size is required to give a dose of 1 mSv. This is corroborated by the HPA’sevaluation in their reports (R<strong>and</strong>les, <strong>2010</strong>).A proportion of the particle finds are known to be potentially friable (R<strong>and</strong>les, <strong>2010</strong>). Theseconsist of aggregations of smaller particles that are stable when wet but prone to fragment asthey dry out, particularly when h<strong>and</strong>led directly. The smaller particles will have a range ofsizes with a proportion of them being of respirable size.For an acute inhalation intake, analysing <strong>for</strong> worst case fraction of particles that becomefriable <strong>and</strong> worst case release fraction around the highest alpha-rich find, the calculatedpotential uptake to the operator is an order of magnitude below the significant dose. Even atthis low dose level, several thous<strong>and</strong> particles would need to be present to ensure there aresufficient respirable particles available <strong>for</strong> inhalation.For chronic inhalation uptake, analysis follows average activities, friability <strong>and</strong> releasefractions <strong>and</strong> results indicate that there is potential <strong>for</strong> uptake via this route that couldmarginally exceed 1 mSv per annum. This worse case assumption requires that most, if notall, particles are friable <strong>and</strong> their recovery generates sufficient respirable-size particles toallow a small number to be inhaled.However, natural mitigation is that beach materials are often wet <strong>and</strong> it is unlikely that themajority of finds dry out during recovery. Operational mitigation includes the requirement towet the material around a find zone, to reduce the risk of friability <strong>and</strong> there<strong>for</strong>e significantlyreduce the risk of chronic inhalation. An internal dosimetry regime <strong>for</strong> operators is also inplace to monitor this potential (<strong>and</strong> any ingestion potentials detailed below). Environmentalchronic inhalation uptake <strong>for</strong> operators is calculated to be more than 3 orders of magnitudeless than significant dose (R<strong>and</strong>les, <strong>2010</strong>).5.3.3 IngestionWhereas the HPA reports recognise a potential (albeit very unlikely) <strong>for</strong> inadvertent orintended ingestion of radioactive objects by some categories of the public, operators do notfall into these person categories. Nevertheless, operators spend more time on the beachesthan members of the public (around 1200 h per annum). Calculations of s<strong>and</strong> intake byoperators, just by being on the beaches <strong>and</strong> looking <strong>for</strong> particles, show that there is potential<strong>for</strong> an attributable dose uptake but at 3 to 4 orders of magnitude less than significant dose.Given the qualified <strong>and</strong> experienced nature of operators as health physics surveyors, anacute ingestion intake is not credible. For example, <strong>for</strong> a 1 mSv acute ingestion dose it isimplausible that the 5000 Bq particle required would not be detected <strong>and</strong> <strong>for</strong> a 1 mSv chronicingestion dose it is implausible that the 150 ingestion events would take place. Operators© Nuclear Decommissioning Authority 20<strong>11</strong>. 81


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>wear gloves during retrievals that are removed by correct practice after objects have beenretrieved. Operators do not put h<strong>and</strong> to mouth/face during retrievals while wearing gloves.The wetting process in retrieval prevents blown material that could be inadvertently ingested.5.3.4 Skin contact <strong>and</strong> woundsSkin dose is dependent on activity of an object <strong>and</strong> its time in contact or in close proximitywith the skin. Operators not only take precautions while retrieving objects but once a retrievalis complete (with objects sealed in containers), operators self check with contaminationmonitoring instruments to determine whether activity has become attached to their person,thus eliminating the potential <strong>for</strong> any prolonged contact should it occur. Consequently, thereis extremely low potential <strong>for</strong> skin dose during operations.Entry of material into the body via wound sites is a well recognised potential. Operators arewell versed in practices to seek <strong>and</strong> cover any wound site prior to working with radioactivematerials. In addition, use of gloves <strong>and</strong> st<strong>and</strong>ard work clothing mitigate against any intakevia wound sites.5.3.5 Reassurance by monitoring <strong>for</strong> internal uptakeEven though potential is low <strong>for</strong> intake <strong>and</strong> uptake of material into the body, a regime ofinternal dosimetry is provided <strong>for</strong> each operator. This involves monthly provision of sampleswith analysis on a quarterly basis but with stored samples <strong>for</strong> further analysis should anyuptake be suspected. For operations to date there has not been a dose uptake by anyoperator.5.3.6 Potential of exposure to the publicThe HPA reports cover the period of 3 years between the summers of 2006 <strong>and</strong> 2009. Sincethat time, Groundhog Synergy has been used, with its enhanced capability <strong>for</strong> detection ofalpha-rich objects. This has increased the number of alpha-rich finds, although the majorityof objects are of lower activity than previously seen (Synergy has greater sensitivity thanEvolution2). Thorough assessment of the effects on the public are the subject of furtherstudy but indicators are that finds are not so significant as to expect change in the overallcriteria <strong>for</strong> protection of the public that are described in the HPA reports.5.4 Nuvia dosimetry investigationIn the second half of <strong>2010</strong> Nuvia dosimetry bioassay (i.e. urine <strong>and</strong> faecal) samples from twoworkers engaged in beach monitoring exceeded the urine trigger level (0.2 mBq/day).Nuvia’s internal investigation concluded that a possible explanation <strong>for</strong> the results could bethe chronic ingestion of beach s<strong>and</strong> (with the most significant component being fromenvironmental levels rather than associated with find recovery), combined with thecontamination of urine samples with s<strong>and</strong> from the worker’s h<strong>and</strong>s during sample provision(R<strong>and</strong>les, <strong>2010</strong>).<strong>Sellafield</strong> <strong>Ltd</strong> asked the HPA to carry out an independent investigation to gain reassurancethat there was not a risk to the Nuvia workers. The report (Etherington , 20<strong>11</strong>) found thatthe possibility could not be ruled out that intakes giving rise to committed effective doses inexcess of 1 mSv could have occurred. However, they also found that the possibility could notbe ruled out that the bioassay results, in full or in part, could be explained by samplecontamination.© Nuclear Decommissioning Authority 20<strong>11</strong>. 82


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Following the HPA investigation, the final results of measurements on a urine sample thathad been collected after the sample upon which the Nuvia <strong>and</strong> HPA assessments werebased were reported. These results were not significantly different to that measured in asample provided by an un-exposed control subject, <strong>and</strong> were significantly lower than thebeach workers’ previous samples. Based on this in<strong>for</strong>mation the HPA concluded that, basedon the in<strong>for</strong>mation available, the most likely explanation <strong>for</strong> the elevated urine result wasinadvertent sample contamination (Etherington, 20<strong>11</strong>). This letter is available in full on ourwebsite.The HPA were also asked <strong>for</strong> their view on the effect of the Nuvia worker dosimetryassessment on the assessment of health risks to the public. HPA have written to <strong>Sellafield</strong><strong>Ltd</strong> to express their view, stating that,© Nuclear Decommissioning Authority 20<strong>11</strong>. 83


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>6. Aims <strong>and</strong> Objectives6.1 Introducing the requirement <strong>for</strong> large area beach monitoringThe 2008 Summary <strong>Report</strong> (Hemming, 2008) provides details on some of the background<strong>and</strong> drivers that led to the introduction of a regulatory requirement <strong>for</strong> large area beachmonitoring at <strong>Sellafield</strong>. The report also sets out how the early programme <strong>for</strong> beachmonitoring developed.In brief, the detection, recovery <strong>and</strong> analysis of a particle containing 90 Sr, during routinemonitoring of the str<strong>and</strong>line on <strong>Sellafield</strong> beach in 2003, triggered a review of beachmonitoring operations. This review <strong>and</strong> subsequent trial of a vehicle mounted system in late2006 / early 2007 resulted in an evolving programme that has seen the development <strong>and</strong>deployment of state-of-the-art detection equipment across a wide extent of the beaches onthe coast of West Cumbria.During the early programme, it was not known whether radioactive particles were present insignificant numbers <strong>and</strong> over what geographical range. Based on early modelling work, thefirst trials took place in areas where the highest chance of encounter had been predicted, tothe immediate north of the <strong>Sellafield</strong> site. As material was detected <strong>and</strong> recovered from thislocation; so the programme started to include beach areas that are more distant from the<strong>Sellafield</strong> site. This has resulted in monitoring being carried out on sections of all the mainstretches of accessible beach along the West Cumbrian coast; <strong>and</strong> has included beaches onthe north Solway.Consistent with the aim of underst<strong>and</strong>ing the geographic range <strong>and</strong> distribution of particlenumbers, the specified area to be monitored increased as the programme developed. The<strong>Sellafield</strong> trial covered an area of 9.2 ha, followed by a 26 ha trial at Braystones (usingvehicle-mounted <strong>and</strong> h<strong>and</strong>-held equipment). The success of the trials led to the inclusion ofa specification in the Compilation of Environment Agency Requirements (CEAR) requiring “aminimum beach area of 15 ha …by 31 July 2007, with a minimum area of 100 ha to besurveyed by 31 March 2008”. In fact, the total area monitored during 2007/08 was in excessof 150 ha, against a revised specified area of 146.7 ha.Success in achieving what may be described as arbitrary target areas, effectively led to abeach monitoring programme of 250 ha per year. Year-on-year, the total area coverageactually achieved has exceeded the target, with last year’s coverage area totalling c.319 ha.These totals are corrected to take account of the overlap that is built into the vehiclemonitoring swathes to ensure that contiguous coverage is achieved. The specified area <strong>for</strong>monitoring has essentially evolved based on operational per<strong>for</strong>mance, as determined by therequired detection capability of the equipment; the natural constraints presented by work in abeach environment (beach accessibility, beach substrate, tidal window, available daylightetc); <strong>and</strong> the priority given to public protection <strong>and</strong> assurance. SL considers that 250 ha peryear represents the working capacity of the current system (Softrak running Synergy at1m/s), allowing <strong>for</strong> minimum down-time periods <strong>for</strong> vehicle maintenance <strong>and</strong> buffer time.6.2 Beach monitoring programme reviewThe early specification <strong>for</strong> <strong>Sellafield</strong> beach monitoring was heavily influenced by the workbeing done at Dounreay, where fragments of fuel are being detected in the environment. Asthe <strong>Sellafield</strong> programme has evolved it has become evident that the situation at <strong>Sellafield</strong> issufficiently different to that at Dounreay; <strong>and</strong> presents a number of unique challenges,including the types <strong>and</strong> relative distribution of contaminated material. As a consequence the© Nuclear Decommissioning Authority 20<strong>11</strong>. 84


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>beach monitoring programme has been the subject of review each year, in<strong>for</strong>med by therange of data being collected <strong>and</strong> analysed.For <strong>2010</strong>/<strong>11</strong> the Environment Agency revised the CEAR specification, in part to reflect thetransfer in programme management to SL. Rather than specify detection per<strong>for</strong>mance <strong>and</strong>the target area to be monitored, the revised CEAR introduced the need <strong>for</strong> a targetedprogramme of works that is driven by risk <strong>and</strong> protection of the public.The <strong>2010</strong>/<strong>11</strong> beach monitoring programme was maintained at 250 ha <strong>and</strong> included periodsof investigative monitoring, both on beach areas that had not previously been monitored <strong>and</strong>on beaches that do not allow <strong>for</strong> vehicular access, where h<strong>and</strong>-held equipment would needto be deployed. Although the full programme was delivered by the end of the year, the2009/10 monitoring campaign did highlight a number of issues that would need to beconsidered when developing the 20<strong>11</strong>/12 programme. In particular, some local stakeholdershad asked that beach monitoring operations should avoid monitoring during peak touristperiods. In addition, achieving the investigative monitoring proved to be more dem<strong>and</strong>ing<strong>and</strong> resource intensive than planned, requiring weekend working <strong>and</strong> deployment ofadditional monitors.Through 2009/10 the HPA were developing their assessment of health risks from theradioactive particles detected <strong>and</strong> recovered from the beaches. Although only published inApril 20<strong>11</strong>, discussions with HPA in 2009 provided a clear indication that health risks werelikely to be very low (confirmed in the issued report as less than one in ten thous<strong>and</strong> million).SL has always tried to be responsive <strong>and</strong> pro-active in accommodating changes <strong>and</strong> newpriorities <strong>for</strong> the beach monitoring programme. During <strong>2010</strong>, SL started to reconsider theprogramme against revised aims <strong>and</strong> objectives <strong>and</strong> developed a proposal <strong>for</strong> a return to 150ha per year. This proposal was put <strong>for</strong>ward at the multi-agency workshop held in November<strong>2010</strong>; <strong>and</strong> later submitted in writing to the Environment Agency (see Appendix 5).6.3 Developing the approach <strong>for</strong> offshore monitoringThe presence of particles in the offshore environment remains an area of uncertainty, both interms of what material may be present <strong>and</strong> at what locations; <strong>and</strong> also how to monitor <strong>and</strong>retrieve it. In the absence of a proven system to execute sub-sea monitoring <strong>and</strong> particleretrieval at <strong>Sellafield</strong>, work to date has focussed on how to reduce the levels of uncertaintyso that sub-sea monitoring ef<strong>for</strong>t can be deployed in an efficient <strong>and</strong> effective manner.Whilst Dounreay have developed an ROV system <strong>for</strong> detection <strong>and</strong> recovery of 137 Csparticles, it is unlikely that this would be successful at finding the 241 Am particles present at<strong>Sellafield</strong>. Monitoring on the seabed has the potential to cost many £Millions <strong>and</strong> there<strong>for</strong>erequires thorough consideration to avoid nugatory expenditure in terms of ef<strong>for</strong>t <strong>and</strong> financialexpense.The main objective <strong>for</strong> <strong>2010</strong>/<strong>11</strong> was the further development of the offshore transport <strong>and</strong>dispersion modelling started by Cefas under contract to EA. This updated modelling workwas then to be used as the main input to the design <strong>and</strong> specification of an offshoremonitoring programme <strong>and</strong> delivery contract(s). Section 2.5 provides further detail on theprogress made during <strong>2010</strong>/<strong>11</strong> <strong>and</strong> the impact on this work caused by SL’s principlecontractor going out of business part way through the year.In brief, the collapse of the modelling contract has <strong>for</strong>ced SL to re-think the approach tooffshore monitoring <strong>and</strong> to pursue a new contract model, whereby the design <strong>and</strong> executionof the monitoring programme would be awarded under a single contract. The scope <strong>and</strong>© Nuclear Decommissioning Authority 20<strong>11</strong>. 85


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>specification <strong>for</strong> this new approach is being been in<strong>for</strong>med by the work done <strong>and</strong> experiencegained to date.This new approach was discussed <strong>and</strong> agreed by the Sea-bed Working Group following themulti-agency workshop in November <strong>2010</strong>. It was also agreed at the Sea-bed WorkingGroup that the scope of work should also be in<strong>for</strong>med by the key questions that EA, HPA<strong>and</strong> FSA would requires answers to from offshore monitoring operations. Each Agency hassubsequently provided a question set to SL <strong>and</strong> these <strong>for</strong>m a core component of the aims<strong>and</strong> objectives that are described below.6.4 Developing aims <strong>and</strong> objectives <strong>for</strong> the particles in the environment workprogrammeThe paragraphs above provide a brief overview of some of the drivers <strong>for</strong> the work done todate to monitor beaches <strong>and</strong> the offshore environment. A significant amount of work hasbeen done to date <strong>and</strong> will continue over the coming years. Reflecting the amount of datagathered to date <strong>and</strong> what this is telling us about the risks associated with particles in theenvironment, SL has undertaken a review of the aims <strong>and</strong> objectives across all of theparticles work areas <strong>and</strong> has used the output from this review to determine priorities <strong>and</strong>develop an effective work programme.Included as part of this review are the views of stakeholders <strong>and</strong> specifically, the sub-seaquestion-sets provided by the EA, HPA <strong>and</strong> FSA:EA1. What are the risks to the public from exposure to radioactive particles via offshorepathways?2. Does the presence of particles offshore warrant any intervention measures to reducepublic risks to acceptable levels?3. Are there different particle types, or significantly more hazardous particles, offshore?4. What is the geographical nature <strong>and</strong> extent of particle contamination offshore?5. Could existing offshore particle populations change with time (will risks becomeunacceptable)?6. What is the relationship between offshore <strong>and</strong> onshore particle populations <strong>and</strong> theirgeographical extent?7. Are there any characteristics of offshore particles that would help to identify sourcesFSA1. Does the a) activity, b) frequency of finds or c) size of particles offshore differ from thedata collected on the beach?2. Where are the particles offshore moving to?HPA1. Is there potential <strong>for</strong> there to be a lot more contaminated objects on the beaches thanthere are now?2. Could there be an increase in higher activity objects on the beaches than have beenfound to date (could the intervention criteria be approached)?3. Is the object population on the beaches going to decrease with time or is thererepopulation such that the hazard remains <strong>for</strong> beach users?Rather than separate out the questions that need to be answered by beach monitoring <strong>and</strong>by offshore monitoring, SL has tried to consider questions that are applicable across all theparticles in the environment work. The <strong>for</strong>mat of the review was there<strong>for</strong>e a series of© Nuclear Decommissioning Authority 20<strong>11</strong>. 86


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>brainstorming sessions where a full range of particle-related questions were captured <strong>and</strong>then distilled into relevant groupings.The review also considered EA guidance on developing environmental monitoringprogrammes, identifying the following objectives that are relevant to particle monitoring:Assessment of doseAssessment of the effects on wildlifePublic & Stakeholder ReassuranceLong-term trendsDetection of abnormal / unauthorised releasesUnderst<strong>and</strong> / monitor behaviour of radionuclides in the environmentA matrix was generated that allowed cross-comparison of questions <strong>and</strong> objectives todetermine any overlap <strong>and</strong> identify those issues attracting the greatest numbers of questions.From this a set of overarching primary questions have been developed that are designed toaddress the full range of priority issues.© Nuclear Decommissioning Authority 20<strong>11</strong>. 87


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>6.5 Primary Questions <strong>and</strong> their GroupingThe following tables show the raw output from generating the questions matrix. It should beevident that each of the heading questions are being addressed by existing <strong>and</strong> future workstreams, as indicated by the “Key Workstreams” listed below each table. The sub-questionsrepresent the range of issues that each heading poses; noting that in some cases, answersto all of the sub-questions will not be necessary to resolve or satisfy the heading.1. What risk do the particles pose?1.1 Who is at risk?1.2 What are the exposure pathways?1.3 Is there a temporal change in the risk, both <strong>for</strong>ward <strong>and</strong> back?1.4 What is the general (collective overall) population risk?What risk do the particles pose?1.5 Is there an ‘End Point’ determined by risk?1.6 What is the consequence if the risk is realised?1.7 What was/is/will be the maximum risk?1.8 Do we need to actively mitigate risk?1.9 What risks are perceived by the stakeholders?1.9.1 SL/NMP reputation?1.9.2 Non-dosimetric risks?1.9.3 Business risks?1.10 Can we reliably model the transportation <strong>and</strong> dispersion of particles?Key Workstreams:Beach Monitoring <strong>Programme</strong>Offshore Monitoring <strong>Programme</strong>Particle Analysis ContractHPA risk assessmentFSA risk assessment© Nuclear Decommissioning Authority 20<strong>11</strong>. 88


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>2. What is / are the source(s)?2.1 Determine how many potential sources of particles there are2.1.1 From which plants <strong>and</strong> processes do they come & when did such discharges occur?2.1.2 Were they historic discharges from abnormal events?2.1.3 Were they historic routine discharges from the days prior to filtration?2.1.4 How do pebbles & stones behave to long term activity exposure (e.g. in old sections of pipeline)2.1.4.1 What is the maximum activity a pebble or stone can absorb/adsorb?2.1.4.2 Can this maximum be reached while using the current discharge system?What is / are the source(s)?2.1.5 How does s<strong>and</strong> <strong>and</strong> rusty metal behave to long term activity exposure (e.g. in old sections ofpipeline)?2.1.5.1 What is the maximum activity a s<strong>and</strong> or rust particle can absorb/adsorb?2.1.5.2 Can this maximum be reached while using the current discharge system?2.2 Consider the 1983 Beach Incident discharge:2.2.1 What was discharged?2.2.2 Is there a modern analogue that can be analysed?2.2.3 In 1983 why didn’t we see anything like we can see today, resulting from this discharge?2.3 Consider the Pipeline recovery work of the late 1990s <strong>and</strong> 2003:2.3.1 Can we acquire <strong>and</strong> sample a piece of recovered pipeline from LLWR?2.3.2 Can we determine from those involved in the pipeline recovery project what the condition of thepipeline was?2.4 Can we reliably model the sources of particles?Key Workstreams:SL Particles Sources <strong>and</strong> Pathways Working GroupBeach Monitoring <strong>Programme</strong>Particle Analysis Contract© Nuclear Decommissioning Authority 20<strong>11</strong>. 89


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>3. Where are the particles (ie distribution along the coast <strong>and</strong> seabed)?Where are the particles (ie distribution along the coast<strong>and</strong> seabed)?3.1 What technology is available to allow us to map / detect subsea particles?3.2 What limitations are there on the ‘effective’ use of that technology?3.3 Over what area do we look <strong>for</strong> particles <strong>and</strong> where do we start <strong>and</strong> finish?3.3.1 Where are we most confident that we will find particles?3.4 What do we need to allow us to model the technology / capability?3.4.1 What are the success criteria?3.5 What hierarchy of criteria do we adopt when choosing the technology?3.6 Can we reliably model the distribution of particles?Key Workstreams:Beach Monitoring <strong>Programme</strong>Offshore Monitoring <strong>Programme</strong>Statistical Analysis Contract© Nuclear Decommissioning Authority 20<strong>11</strong>. 90


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>4. How many particles are there?4.1 Can we calculate the number of particles in terms of:4.1.1 Total particle number?4.1.2 Sub population numbers?4.2 Can we estimate from beach ‘finds’ what the total numbers of particles are?How many particles are there?4.2.1 Define the population of stones, i.e. what was found, where it was found <strong>and</strong> when it was found?4.2.2 Are we looking in the right place(s) <strong>for</strong> particles (s<strong>and</strong>/shingle/cobbles)?4.2.3 Are there sub populations of particles <strong>and</strong> how do their spatial distributions vary?4.3 How many particles are available <strong>for</strong> detection at any given time?4.3.1 How many are mobile?4.3.2 What is the repopulation rate?4.3.3 Are there ‘non-natural’ means by which particles are moved/redistributed in the environment, suchas by Trawlers or Dredgers?4.4 Can we reliably model the numbers of particles?Key Workstreams:Beach Monitoring <strong>Programme</strong>Offshore Monitoring <strong>Programme</strong>Statistical Analysis Contract© Nuclear Decommissioning Authority 20<strong>11</strong>. 91


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>5. What is the activity distribution of the particles population?What is the activity distribution of the particles population?5.1 What are the key radionuclides <strong>and</strong> how many particles of each type are there?5.2 What LOD do we need to achieve?5.3 How many particles do we need to analyse by:5.3.1 Coarse screening?5.3.2 Detailed analysis?5.4 What does the activity of ‘Finds’ tell us about the distribution of the ‘True’ populations?5.5 Is there a temporal change in the activity distribution (including spatial – Q3)?5.6 Does any temporal change tell us about the source term (refer to Q2) or ultimate environmental fate?5.7 Can we reliably model the activity distribution of the particles population?Key Workstreams:Beach Monitoring <strong>Programme</strong>Offshore Monitoring <strong>Programme</strong>Statistical Analysis Contract6. Where are the particles going?6.1 Are they moving into high risk areas such as Mussel beds?Where are the particles going?6.2 Over what time-frame do particles move from their ‘original’ location (both on <strong>and</strong> off-shore) to their‘current’ location?6.3 Are we observing re-population between on-shore <strong>and</strong> off-shore particles or does location remainstatic (i.e. covered to uncovered at the same location)?6.4 How long do they remain as ‘particles’ in the environment?6.5 What is the maximum distance an independent particle can travel in the marine environment off theWest Cumbrian coast?6.6 Can we reliably model the transportation <strong>and</strong> dispersion of particles?Key Workstreams:Beach Monitoring <strong>Programme</strong>Offshore Monitoring <strong>Programme</strong>Statistical Analysis Contract© Nuclear Decommissioning Authority 20<strong>11</strong>. 92


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>7. What are the physical <strong>and</strong> chemical properties of the particles?What are the physical <strong>and</strong> chemical properties ofthe particles?7.1 What do we need to know about the physical <strong>and</strong> chemical properties to support:7.1.1 Categorisation?7.1.2 Source term identification?7.1.3 Modelling?7.1.4 Risk (i.e. dose factors)?7.1.5 BPM <strong>for</strong> particle detection?7.2 Can we reliably model the properties of particles?Key Workstreams:Beach Monitoring <strong>Programme</strong>Offshore Monitoring <strong>Programme</strong>Particle Analysis Contract8. How long have the particles been in the environment?How long have the particles been in theenvironment?8.1 How long have particles been available <strong>for</strong> transportation in the environment (i.e. may have beensitting static in the pipeline <strong>for</strong> an unknown period of time)?8.2 How does time in the environment affect the physical & chemical properties of particles?8.3 What is the diversity of environmental conditions (buried/surface/storm transport/tidaltransport/mud/silt/s<strong>and</strong>/boulder/pebble)? How does time spent in different conditions influenceparticle behaviour over time?8.4 What age of particles would be considered to originate from ‘current’ operations?8.5 What in<strong>for</strong>mation is available on when pipeline cutting/removal has taken place, diffusers replaced orwhen environmental release events have occurred, that may assist in making modelling assumptionson ‘origins’ of releases?8.6 Have particles that have travelled the furthest been in the environment the longest?8.7 Can we reliably model the transportation <strong>and</strong> dispersion of particles?Key Workstreams:Beach Monitoring <strong>Programme</strong>Offshore Monitoring <strong>Programme</strong>Particle Analysis ContractStatistical Analysis Contract© Nuclear Decommissioning Authority 20<strong>11</strong>. 93


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Fundamentally, the priority question is “What risk do the particles pose?” with all otherquestions becoming academic if the risks are demonstrably low enough to be regarded asacceptable. The HPA risk assessment provides strong demonstration that the risks to beachusers are very low (one in a hundred thous<strong>and</strong> million of a fatal cancer), but that some beachmonitoring should continue in order to provide reassurance that risks remain very low.Based on the available in<strong>for</strong>mation, the risk from offshore particles is also considered to below <strong>and</strong> regarded as acceptable by the FSA.The programme of work <strong>for</strong> particles in the environment could there<strong>for</strong>e now be regarded asa programme of reassurance, the scope of which is driven by the ability to demonstrate thatrisks continue to be acceptable. In order to achieve this <strong>and</strong> address the questions set-outabove, the programme <strong>for</strong> 20<strong>11</strong>/12 has the following main objectives:Beach Monitoring- to complete a programme of large area beach monitoring using the Nuvia Synergy systemthat achieves:- monthly monitoring (at least 10 times per year) at <strong>Sellafield</strong> beach;- monitoring of the full extent of the str<strong>and</strong>-line between St Bees <strong>and</strong>Ravenglass:- monitoring at local beaches with the highest public occupancy <strong>for</strong> riskreassurance;- repeat area monitoring to underst<strong>and</strong> repopulation at the following beaches:i. <strong>Sellafield</strong>ii. Braystonesiii. Seascaleiv. St Bees- recovery of all particles detected;<strong>and</strong>:- avoids as far as possible, monitoring during the peak tourist seasons.Find Analysis- to deposit all finds in the SL laboratory <strong>for</strong> gamma scan;- to complete the Tranche 3 detailed analysis by October 20<strong>11</strong> (Serco/NPL)Data Analysis <strong>and</strong> interpretation- to continue populating the GIS system with data on the position <strong>and</strong> type of all finds;- to investigate <strong>and</strong> review the sources <strong>and</strong> pathways of beta-rich finds;- to interrogate beach monitoring data to determine find arrival / repopulation rates; <strong>and</strong>- to investigate application of statistical techniques <strong>and</strong> engage statistics experts to furtherevaluate beach monitoring data.Offshore Monitoring- to investigate options <strong>for</strong> the trial of the Dounreay ROV;- to support EA in achieving sampling of offshore sediments;- to develop the scope <strong>and</strong> specification <strong>for</strong> award of an offshore monitoring contract (seeexample Task Sheet, Figure 7.3)Risk Assessment- to provide data to HPA <strong>for</strong> their review of the risk assessment, to account <strong>for</strong> developmentsfollowing the introduction of Groundhog Synergy; <strong>and</strong>- to review the findings of the risk assessment to in<strong>for</strong>m the particles in the environmentprogramme of work© Nuclear Decommissioning Authority 20<strong>11</strong>. 94


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>7. <strong>Programme</strong> of work <strong>for</strong> 20<strong>11</strong>/127.1 20<strong>11</strong>/12 Beach Monitoring <strong>Programme</strong>The programme <strong>for</strong> 20<strong>11</strong>/12 was developed by <strong>Sellafield</strong> <strong>Ltd</strong> <strong>and</strong> agreed with the EA prior toits commencement. As in previous years this programme is set to run from the start of Aprilto the end of March, consistent with the financial year. A programme of 150 ha was proposedas being the most appropriate <strong>for</strong> the following reasons:Using one monitoring vehicle, such as the Soft-track, the maximum area that can berealistically achieved in a year is 150 ha when taking into account the two periods ofno monitoring (during the Easter <strong>and</strong> Summer school holidays), the constraints oftides <strong>and</strong> allowing time to conduct walked str<strong>and</strong>lines <strong>and</strong> occasionalvehicle/equipment maintenance. In order to monitor a larger area an additionalvehicle would have to be operated which would significantly increase the cost ofbeach monitoring.Based on the in<strong>for</strong>mation available to date the HPA risk assessment concluded thatThis assessment was based on an underst<strong>and</strong>ing of the spatial distributionof finds, the activity distribution of finds <strong>and</strong> their physical <strong>and</strong> chemical propertiesgained from the five years of large area beach area monitoring completed by<strong>Sellafield</strong> <strong>Ltd</strong>. The ongoing aim of the programme is to provide reassurance that theoverall risks to beach users are not significantly greater than those estimated in theHPA assessment. This aim can be achieved with a more targeted programme thatfocuses on beaches with the highest find rates <strong>and</strong> public occupancy.An area of uncertainty in the HPA risk assessment is the nature <strong>and</strong> abundance ofany radioactive finds that may be present on the sea bed. Our focus has turned tooffshore investigations, including collecting samples from the seabed <strong>for</strong> analysis <strong>and</strong>modelling of currents <strong>and</strong> particle movements to help reduce this uncertainty. Thiswork represents a significant financial commitment (see Section 7.5 <strong>for</strong> details) thatcan, at least in part, be met by reducing the cost of beach monitoring.The basis <strong>for</strong> a 150 ha programme was outlined at the multi-agency workshop hosted by theEnvironment Agency in November <strong>2010</strong>. No significant objections were made by members atthe meeting. The programme was slightly revised to take into consideration the points raisedat the workshop <strong>and</strong> submitted to the EA in February 20<strong>11</strong> (Appendix 5). Additionalin<strong>for</strong>mation to support the programme was sent to the EA in advance of a meeting withCOMARE in March 20<strong>11</strong> (Appendix 5). The key aspects <strong>and</strong> justification of the 150programme are:The 150 ha programme includes monthly visits to <strong>Sellafield</strong> beach, <strong>and</strong> regular repeatvisits to Braystones, St Bees <strong>and</strong> Seascale. These repeat visits facilitate the ongoingremoval of finds from these areas of beach <strong>and</strong> provides useful in<strong>for</strong>mation on findnumbers over time. The beaches selected specifically <strong>for</strong> repeat monitoring havebeen identified based on a number of criteria: i) high find rates, ii) high levels of publicoccupancy, iii) extensive historic monitoring data, iv) consistent s<strong>and</strong> coverage, v)high confidence of monitoring repeatability.For each of these beaches, specified repeat area boxes have been identified. At<strong>Sellafield</strong> beach 2 areas (boxes) have been selected. These are both 1 hectare in© Nuclear Decommissioning Authority 20<strong>11</strong>. 95


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>size <strong>and</strong> will be re-monitored eleven times each during the programme year.Selection of these areas has focussed on beach areas <strong>for</strong> which data has beencollected in previous years monitoring (Table 7.1) <strong>and</strong> where consistently high findrates have been observed. These boxes represent the core area to be covered oneach <strong>and</strong> every visit to the <strong>Sellafield</strong> beach, with additional coverage of theneighbouring beach, up to a total of 4 hectares dependent on available area at eachmonitoring visit. This combination of core areas <strong>and</strong> additional area af<strong>for</strong>ds a degreeof flexibility in the monitoring <strong>and</strong> avoids overly constraining the contractor in what arechallenging working conditions.Likewise, at Braystones 2 box areas have been selected. These are larger in size (5hectares) <strong>and</strong> will be revisited three times in the programme year. As with <strong>Sellafield</strong>,each of these areas has been revisited extensively in previous years monitoring; <strong>and</strong>represent areas of elevated find rates. A total of 14 hectares will be covered on eachvisit to Braystones, to include both of the defined 5 hectare boxes.Both St Bees <strong>and</strong> Seascale are beaches that are regularly visited by members of thepublic. At each beach a single area (3 hectares) has been selected, closest to themain parking areas <strong>and</strong> public access points. St Bees will be revisited five timesduring the programme year, with Seascale revisited three times, reflecting thenortherly bias to find rates. The visits to these beaches have been scheduled closelyaround the Easter <strong>and</strong> Summer breaks, during which the highest occupancy levelsare expected. A total area of 24 hectares will be covered at St Bees, with a total of 14hectares covered at Seascale.In the context of the total monitoring, repeat areas represent approximately 50% ofthe 150 hectare programme. Details of the repeat monitoring areas are summarisedbelow <strong>and</strong> accompanying maps can be found in Figure 7.2Table 7.1. Repeat areas <strong>for</strong> the 20<strong>11</strong>/12 beach monitoring programmeRepeat box Area (ha)Number of previous monitoringvisits*<strong>Sellafield</strong> 1 (north) 1 9<strong>Sellafield</strong> 2 (south)** 1 10Braystones 1 (north) 5 9Braystones 2 (south) 5 10Seascale 3 5St Bees 3 6*Based on complete or part coverage of the repeat box.**The 1 ha had to be split into two boxes to avoid a small area of large rocks.Braystones beach, with its relatively high find-rates <strong>and</strong> greater public occupancylevels than <strong>Sellafield</strong>, will continue to dominate as the beach with the largest targetmonitoring area. As in previous years, monitoring will take place a number of times.The requirement <strong>for</strong> a walked wind-blown str<strong>and</strong>line monitoring has also beenincorporated into the programme at appropriate quarterly intervals. This monitoring,which normally takes about three days to complete, has been identified alongside theneed <strong>for</strong> regular vehicle maintenance.Blocks of “buffer time” when no monitoring will be completed. In previousprogrammes, week-long blocks have been incorporated to allow <strong>for</strong> recovery of theprogramme in the event that un<strong>for</strong>eseen circumstances (e.g. inclement weather or© Nuclear Decommissioning Authority 20<strong>11</strong>. 96


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>technical complications) impact on the ability of the contractor to achieve beach targetareas in any given monitoring block. This year, in response to concerns raised bylocal stakeholders about possible detrimental aspects of beach monitoring operationsduring peak tourist seasons, no monitoring is planned during the Easter (4 weeks)<strong>and</strong> Summer (6 weeks) school holidays. Where monitoring is required during thebuffer time, all ef<strong>for</strong>ts will be made to avoid those beaches with the highest publicoccupancy. Recognising the long summer buffer period, beaches with the highestpublic occupancy rates (St Bees <strong>and</strong> Seascale) are scheduled to be monitored asclose as possible to the start <strong>and</strong> finish of this break. This should mean thatmonitoring takes place at times that are most representative of periods when thebeaches have their highest occupancy, but without the adverse impacts of monitoringwhen large numbers of the public are present.As a result of introducing these repeat visits either side of the buffer periods <strong>and</strong> bybreaking the majority of monitoring periods down into week-long blocks at eachbeach, the number of monitoring visits to St Bees <strong>and</strong> Seascale will be increasedcompared to the <strong>2010</strong>/<strong>11</strong> programme.For 20<strong>11</strong>/12 we are including beach areas from last years’ investigations as namedbeach areas in the programme (Allonby, Whitehaven North <strong>and</strong> Harrington), togetherwith a non-beach specified Investigation period. The specific inclusion of Allonby,Whitehaven North <strong>and</strong> Harrington, recognises the interest in continued monitoring onbeach areas to the north of St Bees where a small number of finds have beenrecovered on some of the previous visits. A decision on how best to allocate theInvestigation period will be made closer to the time. <strong>Sellafield</strong> <strong>Ltd</strong> will consult with theEA on this allocation.To the south of <strong>Sellafield</strong>, beach monitoring has been carried out at Drigg beach eachyear, extending to Drigg Point <strong>and</strong> the Ravenglass estuary. The HPA presentation tothe multi-agency workshop in November <strong>2010</strong> included a recommendation <strong>for</strong>:. Consistent with this recommendation, Driggbeach will be monitored twice during 20<strong>11</strong>/12.We believe the programme is commensurate with the levels of risk as currently assessed<strong>and</strong> is capable of providing reassurance that risks remain very low. The programme fits withthe HPA’s advice <strong>for</strong>, (Cooper, 20<strong>11</strong>). As in previous years, where findings from themonitoring result in the need to review the programme, this will be done in full consultationwith the EA.Week StartingSoftrak Beach MonitoringAreaTargets (ha)4 Apr <strong>Sellafield</strong> (a) 4<strong>11</strong> Apr18 Apr25 AprBuffer Time –2 May9 May <strong>Sellafield</strong> (b) 416 May St Bees (1) 423 May Vehicle Maintenance/Str<strong>and</strong>line© Nuclear Decommissioning Authority 20<strong>11</strong>. 97


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>30 May Drigg (1) 506 Jun <strong>Sellafield</strong> (c) 413 Jun20 JunBraystones (1) 1427 Jun4 Jul <strong>Sellafield</strong> (d) 4<strong>11</strong> Jul Seascale (1) 518 Jul St Bees (2) 425 Jul1 Aug08 Aug15 AugBuffer Time –22 Aug29 Aug5 Sep <strong>Sellafield</strong> (e) 412 Sep St Bees (3) 419 Sep Vehicle Maintenance/Str<strong>and</strong>line26 Sep Seascale (2) 53 Oct <strong>Sellafield</strong> (f) 410 Oct Whitehaven North/Harrington 417 Oct24 Oct30 OctBraystones (2) 187 Nov14 Nov <strong>Sellafield</strong> (g) 421 Nov Whitehaven North/Harrington 428 Nov St Bees (4) 45 Dec <strong>Sellafield</strong> (h) 412 Dec Allonby 419 Dec Vehicle Maintenance/Str<strong>and</strong>line –26 Dec Christmas Break2 Jan9 JanSt Bees (5) 816 Jan <strong>Sellafield</strong> (i) 323 Jan Investigation 430 Jan6 FebBraystones (3) 1413 Feb20 Feb <strong>Sellafield</strong> (j) 327 Feb Seascale (3) 45 Mar Drigg (2) 412 Mar <strong>Sellafield</strong> (k) 319 Mar Vehicle Maintenance/Str<strong>and</strong>line –26 Mar Buffer TimeCumulative Totals ==>150 ha© Nuclear Decommissioning Authority 20<strong>11</strong>. 98


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Beach Number of visits Hectare Coverage<strong>Sellafield</strong> <strong>11</strong> 41Braystones 3 46St Bees 5 24Seascale 3 14Investigation 1 4Drigg 2 9Whitehaven/Harrington 1 8Allonby 1 4Total 27 150Figure 7.1. 20<strong>11</strong>/12 Beach Monitoring <strong>Programme</strong>© Nuclear Decommissioning Authority 20<strong>11</strong>. 99


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Figure 7.2. St Bees beach repeat area <strong>for</strong> 20<strong>11</strong>/12.© Nuclear Decommissioning Authority 20<strong>11</strong>. 100


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Figure 7.3. Braystones beach repeat areas <strong>for</strong> 20<strong>11</strong>/12.© Nuclear Decommissioning Authority 20<strong>11</strong>. 101


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Figure 7.4. <strong>Sellafield</strong> beach repeat areas <strong>for</strong> 20<strong>11</strong>/12.© Nuclear Decommissioning Authority 20<strong>11</strong>. 102


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Figure 7.5. Seascale beach repeat area <strong>for</strong> 20<strong>11</strong>/12© Nuclear Decommissioning Authority 20<strong>11</strong>. 103


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>7.2 Application of BAT <strong>for</strong> beach monitoring7.2.1 Introduction<strong>Sellafield</strong> <strong>Ltd</strong> is required to ensure that best practice is used to meet the objectives of beachmonitoring. This has been specified in the CEAR <strong>for</strong> paragraph 19 schedule 1 of theAuthorisation since the start of the large area programme. The current wording is below: Since the commencement of large area beach monitoring several pieces of work have beenundertaken to ensure the application of best practice. In 2008 Serco were awarded acontract to investigate the BPM options <strong>for</strong> beach monitoring. The work involved a deskstudy, technical workshop <strong>and</strong> a BPM study (Serco/TAS/2301/002). Using the Serco studyas a basis, the BPM approach was determined by <strong>Sellafield</strong> <strong>Ltd</strong> at the start of 2009(Desmond, 2009). The Serco reports <strong>and</strong> the BPM determination were peer reviewed byEntec on behalf of the EA. Progress against recommendations from BPM determination weremade in March <strong>2010</strong> (Dalton, <strong>2010</strong>a), a review of techniques by Serco in September <strong>2010</strong>(Locke, <strong>2010</strong>) <strong>and</strong> an updated BPM determination was completed in March 20<strong>11</strong> (Dalton,<strong>2010</strong>b). Another review of techniques is scheduled <strong>for</strong> October 20<strong>11</strong>.7.2.2 Beach monitoring detection equipmentFor the latest BPM determination, in<strong>for</strong>mation on the technical development <strong>and</strong> utilisation ofthese techniques has been gathered by web-searches, examination of manufacturer’sin<strong>for</strong>mation <strong>and</strong> by personal contact with other experts in the field. The basic in<strong>for</strong>mation <strong>for</strong>each technique has been updated <strong>and</strong> the Ministry of Defence Technology Readiness Levelscale has been used to assess whether or not the technique has advanced sufficiently to beconsidered <strong>for</strong> this application. For those new techniques which showed the most promise acomparison was made against the current beach monitoring best practice. The BPMelements considered were:Monitoring technologyEase of useManagement control <strong>and</strong> monitoring operationEquipment maintenanceRecord making <strong>and</strong> retentionAwareness <strong>and</strong> trainingRSA93 complianceCostSince the 2008 BPM review Nuvia <strong>Ltd</strong> has implemented their new Synergy monitoringsystem (in August 2009), which has incorporated eight thin NaI crystal FIDLER (FieldInstrument <strong>for</strong> the Detection of Low Energy Radiation) detectors along with an array of five© Nuclear Decommissioning Authority 20<strong>11</strong>. 104


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>large volume NaI detectors. This has enabled not only the practical examination of detectionof alpha sources by X-ray <strong>and</strong> low energy gamma emission but also the examination of thedetection of Bremsstrahlung <strong>for</strong> beta sources, which was identified as ‘potentially useful inthe future’ in the 2008 study.While technical progress is evident <strong>for</strong> two of the other techniques, large inorganicscintillation detectors <strong>and</strong> large volume High Purity Germanium (HPGe) detectors, this isinsufficient to recommend immediate implementation. It is, however, recommended that atechnology watch is maintained <strong>for</strong> these techniques as more in<strong>for</strong>mation may emerge thatwould enable their benefits to be more clearly defined.The practical implementation of FIDLER detectors has provided a reasonable proof ofprinciple <strong>for</strong> the detection of alpha emitters using X-ray <strong>and</strong> low energy gamma radiationusing thin crystal HPGe. However, there is insufficient evidence of the per<strong>for</strong>mance of thinHPGe detectors to indicate that this method would provide a significant advance inper<strong>for</strong>mance over the FIDLER detection system. It is recommended that the technologywatch be maintained <strong>for</strong> the thin crystal HPGe technology. These recommendations aresummarised in Table 7.2.For the other techniques reviewed there has either been insufficient technical developmentover the last two years or further analysis has indicated that it is unlikely that they will besuitable <strong>for</strong> this application within the next 5 years. It is recommended that these are notconsidered further.The conclusion of the BPM review of the potential beach monitoring techniques is that noneare at the level of the current best practice system based on Nuvia's Groundhog TM Synergysystem. The current Groundhog TM Synergy system meets the current beach monitoringobjectives <strong>and</strong> is expected to do so <strong>for</strong> the <strong>for</strong>eseeable future.Table 7.2. Recommendations from BPM assessment.Recommendation Timescale <strong>Report</strong> Date1. Maintain a technology watch oninorganic detector development withrespect to possible use <strong>for</strong> large areabeach monitoring.2. Maintain a technology watch on ModularHPGe <strong>and</strong> thin crystal HPGe detectordevelopment with respect to possibleuse <strong>for</strong> large area beach monitoring.3. Maintain a technology watch onemerging technology that may providedetector systems suitable <strong>for</strong> large areabeach monitoring.4. Employ the MOD's technology readinesslevel procedures to judge the abovebeach monitoring technology watch <strong>and</strong><strong>for</strong> future BPM reports.October <strong>2010</strong> – November2012October <strong>2010</strong> – November2012October <strong>2010</strong> – November2012N/AMarch 2013March 2013March 2013N/A© Nuclear Decommissioning Authority 20<strong>11</strong>. 105


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>7.2.3 Consistent approach <strong>for</strong> statistical interpretationRecent work has been commissioned by <strong>Sellafield</strong> <strong>Ltd</strong> to review statistical techniques thatcan be used to help define the beach monitoring programme (described in Section 3.2). Thiswork has stressed the need to control <strong>and</strong> account <strong>for</strong> any changes to the measurementmethods, sampling protocol <strong>and</strong> laboratory procedures in order to successfully interpret thedata. There<strong>for</strong>e, any potential improvements to the current system or development of anynew systems will need to be judged against the impact on statistical interpretation of the datacollected to date.7.2.4 Monitoring speedThe Hillcat <strong>and</strong> Soft-track vehicles have been driven at 1 m/s (2.2 mph) since the large areabeach monitoring programme began in 2006. This speed was originally chosen <strong>for</strong> Dounreaybeach monitoring because it is able to achieve acceptable Limits of Detection using theSodium Iodide detectors; it was adopted <strong>for</strong> the <strong>Sellafield</strong> programme rather then beingspecifically developed. Travelling at higher speeds (e.g. 2 m/s) will enable greater areas ofbeach to be covered, albeit with increased Limits of Detection, effectively reducing the depthof s<strong>and</strong> that is being monitored. Depending on the relative changes in area <strong>and</strong> depth ofs<strong>and</strong> monitored, the vehicle speed could be optimised to maximise the volume monitored.This may more effectively achieve the current set of objectives <strong>for</strong> beach monitoring, <strong>for</strong>example, by allowing a greater area of reassurance monitoring to take place whilstcontinuing to recover the higher activity finds from the beach.Initial discussions with the contractor (Nuvia) have suggested that, apart from on smallpatches of s<strong>and</strong>, speeds above 1 m/s would be possible. Full details of the LODs achievable<strong>for</strong> 137 Cs, 60 Co, 241 Am, 90 Sr/Y at 1.0, 1.5 <strong>and</strong> 2.0 m/s were given in Nuvia’s original tender <strong>for</strong>the beach monitoring contract. Broadly speaking, increasing the speed to 1.5 m/s increasesthe LOD by a factor of ~1.3 <strong>and</strong> increasing the to 2.0 m/s increases the LOD by a factor of~1.8. It may be possible to improve these LODs by increasing the sampling rate.Whether increasing the monitoring speed represents best practice will be considered whenthe 2012/13 programme is being developed.7.2.5 Daily overlap of monitoring areaThe current monitoring procedure involves overlapping the previous Soft-track detectorswathe by the width of the caterpillar track. Overlapping is necessary to ensure 100%coverage of the area at the specified LODs because the detectors will be “off-axis” at theedge of each swathe. Unlike the Dounreay programme, where 100% coverage of specificbeaches is required by SEPA, the <strong>Sellafield</strong> programme considers much larger areas ofbeach <strong>and</strong> is not required to guarantee complete coverage. The overlap is approximately 30cm wide <strong>and</strong> represents about 15% of the total area covered during each survey. Avoidingany overlap has the potential to increase the monitored area by up to 15% without increasingthe duration of the survey or cost. It is worth noting that under the current practice there is nooverlap on narrow parts of the surveys that are only one track wide, at the edge of anysurvey area <strong>and</strong> at vehicle turning points.As part of the ongoing review of BAT we will be reviewing how many finds have beendetected in previous overlaps <strong>and</strong> whether their activity is significant or not.© Nuclear Decommissioning Authority 20<strong>11</strong>. 106


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>7.2.6 Str<strong>and</strong>line monitoringMonitoring of both the most recent tide-line (referred to as the Str<strong>and</strong>line) <strong>and</strong> the line ofwind-blown debris or highest tide-line (referred to as the Stormline) has been part of thewider environmental monitoring programme since 1983. Since 2009 Nuvia have beencarrying out annual str<strong>and</strong>line surveys using the vehicle-mounted Evolution 2/Synergysystem <strong>and</strong> quarterly walked stormline surveys using the Evolution 2 system. This monitoringis complimented by quarterly walked surveys by <strong>Sellafield</strong> <strong>Ltd</strong>, using a SLR GM <strong>for</strong>beta/gamma detection <strong>and</strong> FIDLER probe <strong>for</strong> low energy photons.There have only been 8 stones found on the str<strong>and</strong>line <strong>and</strong> all but one have all been on<strong>Sellafield</strong> beach with one on Braystones beach. As well as a low find rate, conductingstr<strong>and</strong>line surveys is particularly time-consuming <strong>and</strong> comparatively more expensive thanmonitoring open areas of beach. The h<strong>and</strong>-held equipment is also less sensitive than thevehicle mounted detectors.As part of the BAT case <strong>for</strong> <strong>Sellafield</strong> <strong>Ltd</strong>’s environmental monitoring programme beingdeveloped in 20<strong>11</strong>/12, the value of this monitoring will be assessed against the programme’sobjectives.7.2.7 Alternative monitoring methodsIn addition to optimising methods <strong>for</strong> monitoring the beach using vehicle-mounted detectors,the potential <strong>for</strong> helicopter-mounted detectors to meet the monitoring objectives has beenconsidered. Detailed modelling of its potential has been completed (see Appendix 4).7.3 Offshore Monitoring <strong>for</strong> 20<strong>11</strong>/127.3.1 Continued dialogue with Dounreay Site Restoration <strong>Ltd</strong>Throughout the particles work at <strong>Sellafield</strong>, dialogue has been maintained with Dounreay SiteRestoration <strong>Ltd</strong> (DSRL) to underst<strong>and</strong> the progress being made there. The current DSRLoffshore monitoring contract is with L<strong>and</strong> & Marine, with Nuvia as a sub-contractor. L<strong>and</strong> &Marine completed their first season of offshore monitoring in the Autumn of <strong>2010</strong>, exceedingthe target area <strong>and</strong> taking advantage of good weather to extend the monitoring season <strong>and</strong>accelerate work originally planned <strong>for</strong> 20<strong>11</strong>. The good progress made in <strong>2010</strong> means thatDSRL are on track to complete the total offshore area of 60 ha within the planned 3 yearcontract period. If good progress is made against the target area <strong>for</strong> 20<strong>11</strong>, DSRL may againopt to accelerate work <strong>and</strong> extend L<strong>and</strong> & Marines target area to achieve coverage that iscurrently scheduled <strong>for</strong> 2012.The good progress being made by L<strong>and</strong> & Marine at Dounreay has prompted SL to againexplore whether the opportunity exists to trial the ROV system at <strong>Sellafield</strong>. The NDA hasinvested heavily in the work being done at Dounreay <strong>and</strong> a trial would establish whether thebenefits from this investment could be maximised by effective deployment at <strong>Sellafield</strong>. Thatsaid, it should be stressed that the Dounreay ROV system, PRVII, has been developed <strong>for</strong>detection <strong>and</strong> recovery of fuel particles with high concentrations of 137 Cs; <strong>and</strong> not <strong>for</strong> thetypes of alpha-rich material that SL are recovering from the beaches around <strong>Sellafield</strong>. It isrecognised that the current detection system is unlikely to deliver the long-term solution tooffshore monitoring at <strong>Sellafield</strong> <strong>and</strong> any trial would only be able to deliver a partialdemonstration of capability.© Nuclear Decommissioning Authority 20<strong>11</strong>. 107


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>7.3.2 DSRL ROV TrialTo explore the possibility <strong>for</strong> a trial deployment of PRVII, <strong>Sellafield</strong> <strong>Ltd</strong> have been activelyinvolved in a series of meetings with DSRL, L<strong>and</strong> <strong>and</strong> Marine <strong>and</strong> Nuvia to discuss thefeasibility <strong>and</strong> potential scope <strong>for</strong> an offshore monitoring trial at <strong>Sellafield</strong>. Early discussionson feasibility were positive with L<strong>and</strong> & Marine <strong>and</strong> Nuvia confident that a trial would yielduseful in<strong>for</strong>mation on current seabed conditions <strong>and</strong> the presence of particles. Discussionsalso indicated that there was an opportunity <strong>for</strong> the trial to take place in late summer/earlyautumn of 20<strong>11</strong>. This timeframe was suggested to take advantage of the fact that the L<strong>and</strong> &Marine vessel would need to pass <strong>Sellafield</strong> on its return leg to Bromborough on the Wirral.Trial deployment as part of this return leg would reduce the charges <strong>for</strong> mobilisation <strong>and</strong> demobilisation.In discussing costs <strong>for</strong> the trial an early estimate of £300k-£400k wassuggested <strong>for</strong> a 2 week visit during return to the Wirral.Having established that a trial deployment should be technically feasible, discussion turnedto underst<strong>and</strong>ing the commercial <strong>and</strong> contract implications <strong>and</strong> whether suitablearrangements could be put in place to meet the 20<strong>11</strong> timescales. It was apparent from thesediscussions that there are a number of issues that present sufficient commercial <strong>and</strong>contractual risk that a successful trial in 20<strong>11</strong> could not be guaranteed <strong>and</strong> would there<strong>for</strong>enot be pursued further. The opportunity <strong>for</strong> a trial in the future has not been ruled out by SL;<strong>and</strong> progress at Dounreay will continue to be monitored. At the time of writing, L<strong>and</strong> & Marineare close to completing the target area of 16.5 ha <strong>for</strong> 20<strong>11</strong>. The potential <strong>for</strong> a future trial ofthe DSRL ROV remains an option in the <strong>for</strong>ward programme.7.3.3 EA Grab SamplingIn parallel to the evaluation of an ROV trial, <strong>Sellafield</strong> <strong>Ltd</strong> has also been in discussion withthe EA to carry out some limited “grab” sampling of the seabed during the summer of 20<strong>11</strong>.The detailed specification <strong>for</strong> this work is still being developed <strong>and</strong> the work will be run as anEA led project, but it is hoped that samples will provide useful in<strong>for</strong>mation on seabed activitylevels as well as an indicator of particle populations. The project will utilise an EA vessel <strong>and</strong>sampling resources with Nuvia providing on-board monitoring <strong>and</strong> sampling of recoveredsediments.SL is supportive of this work <strong>and</strong> has been involved in establishing the outline proposal <strong>and</strong>facilitating discussions between the EA <strong>and</strong> Nuvia. The proposal involves using a mechanicalgrab to collect sediment from the seabed. The sample is subsequently raised onto the deckinto monitoring trays be<strong>for</strong>e a health physics survey is carried out. A number of bulk sampleswill be retained <strong>for</strong> further on-shore analysis including Am/Pu, Cs <strong>and</strong> particle size.In consultation with the EA, <strong>Sellafield</strong> has generated a map that identifies a triangular targetarea <strong>for</strong> grab sampling. The target area has been defined based on the length of beach thathas continued to see the highest concentration of beach finds recovered since the start of themonitoring/retrieval programme <strong>and</strong> the position sea pipelines <strong>and</strong> diffusers (Figure 7.5).Details of the specific location of samples will be defined prior to the sampling exercise.However, the EA have indicated that a significant proportion of samples will focus on the seapipeline discharge outfall. It has been suggested that additional grab samples are taken atregular intervals (e.g. on a systematic grid) to provide further in<strong>for</strong>mation on backgroundsediment activity levels along the coast. The grab sampling work will be short in duration <strong>and</strong>consequently the scope <strong>for</strong> wider area sampling may not be achievable.In early discussions with the EA, the opportunity was discussed <strong>for</strong> this work to be exp<strong>and</strong>edto include collection of a broader range of survey in<strong>for</strong>mation, including swath bathymetry© Nuclear Decommissioning Authority 20<strong>11</strong>. 108


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong><strong>and</strong> photo/video surveying. Constraints on the availability of EA resources <strong>and</strong> costs hasmeant that this additional work will not be delivered at this time.Figure 7.6. Target area <strong>for</strong> the grab sampling work showing the position of the sea pipelines<strong>and</strong> the location of the Aquadopp current profiler deployed to the north of the diffusers fromJune <strong>2010</strong> to February 20<strong>11</strong>7.3.4 Developing the <strong>for</strong>ward programme <strong>for</strong> offshore monitoringSection 3.3 describes the work done during <strong>2010</strong>/<strong>11</strong> <strong>and</strong> discusses the collapse of theparticle transport <strong>and</strong> dispersion modelling contract with Westlakes Scientific Consulting(WSC). The main aim of the contract with WSC was the development of an improved modelthat would in<strong>for</strong>m offshore monitoring ef<strong>for</strong>t. This model was to be used to develop thespecification <strong>for</strong> an offshore monitoring contract. The failure of the contract to deliver this hasmeant that SL is now looking to award a monitoring contract without the benefit of a validatedmodel. The specification <strong>for</strong> this contract will there<strong>for</strong>e need to be different to that previouslyplanned.Although the contract with WSC did not deliver the full work scope, the progress made priorto the collapse of the contract has provided useful in<strong>for</strong>mation on which to develop amonitoring specification. Discussions with the DSRL contractor (L<strong>and</strong> & Marine) have alsoproved very useful in underst<strong>and</strong>ing what in<strong>for</strong>mation the monitoring contractor may need togather be<strong>for</strong>e committing to a monitoring programme. SL is now looking to develop a© Nuclear Decommissioning Authority 20<strong>11</strong>. 109


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>contract model that is phased towards achieving a programme of physical monitoring; <strong>and</strong> islooking to the supply chain to propose <strong>and</strong> develop solutions to detect <strong>and</strong> recover particlesfrom the seabed.The first phase will build on the in<strong>for</strong>mation already gathered from beach monitoring <strong>and</strong> theoffshore in<strong>for</strong>mation gathering work (Aqaudopp, sediment sampling, swath bathymetry etc) toset per<strong>for</strong>mance criteria <strong>and</strong> then seek demonstration of detection <strong>and</strong> recovery capability.To achieve this it is anticipated that the successful contractor(s) will need to undertake theirown offshore survey work; modelling; <strong>and</strong> optioneering; be<strong>for</strong>e demonstrating capability todetect <strong>and</strong> recovery particles (including alpha-rich) underwater (eg by trial deployment).Successful completion of Phase 1 will then allow the contractor(s) to proceed to Phase 2 – aprogramme of offshore monitoring. SL has produced the following Task Specification (Figure7.6) that sets out what needs to be done to achieve Phase 1. The breakdown of necessarytasks is provided in the programme schedule <strong>and</strong> contract development <strong>and</strong> award will besupported by SL commercial <strong>and</strong> contract specialists.© Nuclear Decommissioning Authority 20<strong>11</strong>. <strong>11</strong>0


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>© Nuclear Decommissioning Authority 20<strong>11</strong>. <strong>11</strong>1


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Figure 7.7. Draft Task Sheet <strong>for</strong> work to progress offshore monitoring.© Nuclear Decommissioning Authority 20<strong>11</strong>. <strong>11</strong>2


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>7.4 Future Beach Monitoring Assessment Work <strong>Programme</strong>The beach monitoring assessment work programme is updated regularly <strong>and</strong> takes accountof new in<strong>for</strong>mation <strong>and</strong> results of completed assessments. Fundamental to the workprogramme is a specification of detailed objectives. These objectives <strong>and</strong> the work plannedto achieve them are discussed with stakeholders <strong>and</strong> agreed with the Environment Agency.The outline below gives an indication of the scope of the work programme listed under broadtopic areas. The assessment work programme will then be incorporated into the overarching'Particles in the Environment' work programme.Exposure pathways Identify <strong>and</strong> collect the most appropriate habit data <strong>for</strong> inclusion in risk assessmentcalculations. Review <strong>and</strong> collate beach find exposure pathways, together with their associatedprobability of exposure, <strong>for</strong> the beach monitoring worker <strong>and</strong> the general public. Assess the seasonal affect on the general public's contact potential <strong>for</strong> all beach finds <strong>and</strong>specific subgroups of finds. Review <strong>and</strong> collate relevant environmental monitoring measurements <strong>and</strong> samplingresults <strong>and</strong> assess how they relate to beach finds <strong>and</strong> the risk to the public.Beach find characterisation For beach find subgroups, identified by their significant characteristics (e.g. dimensions,radionuclide content etc.), identify all significant radionuclides, <strong>and</strong> assess their activityranges. Review the internal <strong>and</strong> external analysis schedules to ensure they maximise the gainsfrom the resources available (i.e. practicable, timely, <strong>and</strong> useful).Beach monitoring Assess the total find population <strong>and</strong> its component populations (i.e. sub-sea, total <strong>for</strong> allbeaches <strong>and</strong> <strong>for</strong> individual beach populations) <strong>for</strong> each subgroup of finds. Assess <strong>for</strong> subgroups of finds the transfer rate between sub-sea populations <strong>and</strong> beachpopulations. Assess <strong>for</strong> subgroups of finds the movement of the populations between beaches <strong>and</strong>within beach areas. Assess <strong>for</strong> all finds <strong>and</strong> subgroups of finds the affect of the relative <strong>and</strong> absolute depth offinds. Assess <strong>for</strong> all finds <strong>and</strong> subgroups of finds the extended <strong>and</strong> local find spatial distribution. For subgroups of finds define 'footprints' <strong>for</strong> consistent statistical analysis <strong>and</strong> reporting. Assess <strong>for</strong> all finds <strong>and</strong> subgroups of finds the affect of s<strong>and</strong> grain size on particletransportation. Assess if data currently gathered maximises its use in statistical analysis. Assess if the monitoring technique currently used maximises the data gathered withrespect to monitored area <strong>and</strong>/or monitoring volume <strong>and</strong> justify any changes proposed. Gather the data needed by the sub-sea working group to judge the BAT work programmerequired <strong>for</strong> sub-sea assessment.7.5 Summary of costsDetailed in<strong>for</strong>mation on costs has not been provided in previous annual reports on beachmonitoring <strong>and</strong> offshore monitoring work. Inclusion of this section in this year’s report is notintended to provide detailed cost breakdowns of all the work that has been done or isplanned, but is aimed at providing the reader with a clearer underst<strong>and</strong>ing of the order ofcosts that are associated with the particles in the environment work scope.© Nuclear Decommissioning Authority 20<strong>11</strong>. <strong>11</strong>3


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>From 2008/09 onwards, the annual cost of external contracts <strong>and</strong> SL EnvironmentalManagement staff required to deliver the particles work programme has been in excess of£1M. This excludes the costs to SL <strong>for</strong> internal laboratory services <strong>and</strong> <strong>for</strong> costs that arerecovered from SL by the Environment Agency. If charged to this work directly, internallaboratory costs are estimated to be approximately £100 per beach find. With over 1300beach finds to date, internal analysis is estimated to have cost in excess of £130,000 to date.SL does not receive a detailed breakdown of the costs recovered by EA to cover regulationof the site <strong>and</strong> its operations. These costs include the time spent by individual Inspectors <strong>and</strong>cover the costs of contracts that EA award (eg the HPA Risk Assessment). It is estimatedthat these charges could add between £150,000 <strong>and</strong> £250,000 per year.The most significant area of spend to date has been the cost of the contract <strong>for</strong> beachmonitoring operations. Even with the introduction of a reduced area monitoring programme<strong>for</strong> 20<strong>11</strong>/12, this element still represents close to £0.5M per year. Other significant costscover the external analysis that SL is having carried out under contract. For <strong>2010</strong>/<strong>11</strong> thecontract awarded <strong>for</strong> transport <strong>and</strong> dispersion modelling <strong>for</strong> offshore particles would havetaken spending <strong>for</strong> that year over £1.5M. The collapse of that contract resulted in a costreduction, although the total spend was still in excess of £1M.For 20<strong>11</strong>/12, the budget <strong>for</strong> the year is again in excess of £1M, reflecting the significantamount of work that continues. As SL moves towards award of an offshore monitoringcontract estimated costs will rise sharply, with current estimates <strong>for</strong> 2012/13 potentiallyresulting in a doubling of the current costs, to in excess of £2M. Offshore monitoring itselfhas the potential to see these values rise even further. These <strong>for</strong>ecasted increases need tobe considered against the backdrop of enhanced financial constraints that are currently beingapplied across all government spending. Each year <strong>Sellafield</strong> <strong>Ltd</strong> evaluates the total costs torun the site <strong>and</strong> the deliver the various projects required to safely operate a site of this size<strong>and</strong> complexity. Particles in the Environment, is one of many work streams that must beassessed against site priorities; <strong>and</strong> where funding allocation needs to be cognisant ofproportionality in terms of hazard <strong>and</strong> risk reduction.© Nuclear Decommissioning Authority 20<strong>11</strong>. <strong>11</strong>4


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>8. <strong>Programme</strong> of WorksThe attached programme (Figure 8.1) captures the main work tasks that are underway thisfinancial year (20<strong>11</strong>/12) <strong>and</strong> sets out indicative tasks describing how future work is currentlybeing planned or envisaged out to the end of March 2013. This programme is a developmentfrom that submitted to EA last year, in that it provides significantly more detail.As with all programmes <strong>for</strong> complex <strong>and</strong> long-duration projects the number of tasks is large<strong>and</strong> the ability to fully describe them in a programme <strong>for</strong>mat is limited. The programmethere<strong>for</strong>e needs to be considered together with the discussion provided in the main body ofthe report.The intent is to maintain the programme as a live document that will be reviewed <strong>and</strong>updated as work progresses. SL is also conscious that the programme will need to beagreed with the EA. Some of the tasks <strong>and</strong> their scheduling have not been discussed withthe EA. The attached version is there<strong>for</strong>e a snapshot that SL wishes to use as the basis onwhich agreement can be sought with the EA.Figure 8.1. <strong>Programme</strong> of works(Begins on next page).© Nuclear Decommissioning Authority 20<strong>11</strong>. <strong>11</strong>5


ID WBS Task Name Duration Start Finish Predecess 20<strong>11</strong> 2012 2013Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q41 1 20<strong>11</strong>/2012 Project Start 0 days Mon 04/04/<strong>11</strong> Mon 04/04/<strong>11</strong>04/042 2 Management of Beach Monitoring <strong>Programme</strong> (20<strong>11</strong>/2012) 325 days Mon 04/04/<strong>11</strong> Mon 28/05/123 2.1 Beach monitoring operations 280 days Mon 04/04/<strong>11</strong> Fri 30/03/12 1SS4 2.2 Vehicle Recovery Demonstration 1 day Fri 06/05/<strong>11</strong> Fri 06/05/<strong>11</strong> 3SS5 2.3 Contractor monitoring report 45 days Fri 30/03/12 Mon 28/05/12 36 2.4 Quarterly Reviews of monitoring data - area covered/find rate 259.05 days Mon 09/05/<strong>11</strong> Fri 06/04/12External Contract - Beach MonitoringExternal Contract - Beach MonitoringExternal Contract - Beach Monitoring7 2.4.1 Quarterly Reviews of monitoring data - area covered/find rate 1 5 days Fri 01/07/<strong>11</strong> Thu 07/07/<strong>11</strong> 3SS8 2.4.2 Quarterly Reviews of monitoring data - area covered/find rate 2 5 days Mon 03/10/<strong>11</strong> Fri 07/10/<strong>11</strong> 79 2.4.3 Quarterly Reviews of monitoring data - area covered/find rate 3 5 days Mon 02/01/12 Fri 06/01/12 810 2.4.4 Quarterly Reviews of monitoring data - area covered/find rate 4 5 days Mon 02/04/12 Fri 06/04/12 9<strong>11</strong> 2.4.5 Quarterly Contract Progress Meeting 216.22 days Mon 09/05/<strong>11</strong> Mon 13/02/1212 2.4.5.1 Quarterly Contract Progress Meeting 1 0 days Mon 09/05/<strong>11</strong> Mon 09/05/<strong>11</strong> 3SS13 2.4.5.2 Quarterly Contract Progress Meeting 2 0 days Mon 08/08/<strong>11</strong> Mon 08/08/<strong>11</strong> 1214 2.4.5.3 Quarterly Contract Progress Meeting 3 0 days Mon 14/<strong>11</strong>/<strong>11</strong> Mon 14/<strong>11</strong>/<strong>11</strong> 1315 2.4.5.4 Quarterly Contract Progress Meeting 4 0 days Mon 13/02/12 Mon 13/02/12 1416 2.5 Monthly Progress <strong>Report</strong> 259.46 days Mon 09/05/<strong>11</strong> Mon 09/04/1217 2.5.1 Monthly Progress <strong>Report</strong> 1 0 days Mon 09/05/<strong>11</strong> Mon 09/05/<strong>11</strong> 3SS18 2.5.2 Monthly Progress <strong>Report</strong> 2 0 days Mon 13/06/<strong>11</strong> Mon 13/06/<strong>11</strong> 1719 2.5.3 Monthly Progress <strong>Report</strong> 3 0 days Mon <strong>11</strong>/07/<strong>11</strong> Mon <strong>11</strong>/07/<strong>11</strong> 1820 2.5.4 Monthly Progress <strong>Report</strong> 4 0 days Mon 08/08/<strong>11</strong> Mon 08/08/<strong>11</strong> 1921 2.5.5 Monthly Progress <strong>Report</strong> 5 0 days Mon 12/09/<strong>11</strong> Mon 12/09/<strong>11</strong> 2022 2.5.6 Monthly Progress <strong>Report</strong> 6 0 days Mon 10/10/<strong>11</strong> Mon 10/10/<strong>11</strong> 2123 2.5.7 Monthly Progress <strong>Report</strong> 7 0 days Mon 14/<strong>11</strong>/<strong>11</strong> Mon 14/<strong>11</strong>/<strong>11</strong> 2224 2.5.8 Monthly Progress <strong>Report</strong> 8 0 days Mon 12/12/<strong>11</strong> Mon 12/12/<strong>11</strong> 2325 2.5.9 Monthly Progress <strong>Report</strong> 9 0 days Mon 09/01/12 Mon 09/01/12 2426 2.5.10 Monthly Progress <strong>Report</strong> 10 0 days Mon 13/02/12 Mon 13/02/12 2527 2.5.<strong>11</strong> Monthly Progress <strong>Report</strong> <strong>11</strong> 0 days Mon 12/03/12 Mon 12/03/12 2628 2.5.12 Monthly Progress <strong>Report</strong> 12 0 days Mon 09/04/12 Mon 09/04/12 2729 2.6 Detailed analysis of beach finds (Management of Serco / NPL151 days Mon 04/04/<strong>11</strong> Fri 14/10/<strong>11</strong>contract) - 20<strong>11</strong>/201230 2.6.1 Data Review 140 days Mon 04/04/<strong>11</strong> Fri 30/09/<strong>11</strong> 1SS31 2.6.2 Analysis Hold Points 0 days Mon 04/04/<strong>11</strong> Mon 04/04/<strong>11</strong> 30SS32 2.6.3 Contractor analysis report <strong>11</strong> days Fri 30/09/<strong>11</strong> Fri 14/10/<strong>11</strong> 31,3033 2.6.4 Final review <strong>11</strong> days Fri 30/09/<strong>11</strong> Fri 14/10/<strong>11</strong> 32SS34 2.6.5 Quarterly Contract Progress Meetings 150.27 days Mon 04/04/<strong>11</strong> Fri 14/10/<strong>11</strong>35 2.6.5.1 Quarterly Contract Progress Meetings 1 0 days Mon 04/04/<strong>11</strong> Mon 04/04/<strong>11</strong> 30SS36 2.6.5.2 Quarterly Contract Progress Meetings 2 0 days Fri 29/04/<strong>11</strong> Fri 29/04/<strong>11</strong> 3537 2.6.5.3 Quarterly Contract Progress Meetings 3 0 days Fri 29/07/<strong>11</strong> Fri 29/07/<strong>11</strong> 3638 2.6.5.4 Quarterly Contract Progress Meetings 4 0 days Fri 14/10/<strong>11</strong> Fri 14/10/<strong>11</strong> 3739 2.7 Beach Monitoring 20<strong>11</strong>/2012 <strong>Programme</strong> review (pre June 2012submission work)40 2.7.1 <strong>Annual</strong> Review of objectives to provide prioritised detailedobjectives41 2.7.1.1 <strong>Annual</strong> Review of objectives to provide prioritised detailedobjectives <strong>for</strong> 20<strong>11</strong>/2012 (pre-project start date)42 2.7.1.2 <strong>Annual</strong> Review of objectives to provide prioritised detailedobjectives <strong>for</strong> 2012/201343 2.7.2 Develop 2012/2013 assessment work programmes toachieve prioritised detailed objectives44 2.7.2.1 Beach finds & monitoring assessment work programmebased on SL experience to date, Jacobs' GIS tools &Glasgow University Stats/GIS methodology advice.280.59 days Mon 04/04/<strong>11</strong> Fri 30/03/12280.59 days Mon 04/04/<strong>11</strong> Fri 30/03/120 days Mon 04/04/<strong>11</strong> Mon 04/04/<strong>11</strong> 1SS46 days Wed 01/02/12 Fri 30/03/12 3SS46 days Wed 01/02/12 Fri 30/03/1246 days Wed 01/02/12 Fri 30/03/12 1SSEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management Team09/0508/0814/<strong>11</strong>13/0209/0513/06<strong>11</strong>/0708/0812/0910/1014/<strong>11</strong>12/1209/0<strong>11</strong>3/0212/0309/04External Contract - Beach Monitoring04/04External Contract - Beach MonitoringExternal Contract - Beach Monitoring04/0429/0429/0714/1004/04Environmental Management TeamEnvironmental Management TeamProject: Particles in the EnvironmentDate: Wed 29/06/<strong>11</strong>TaskSplitProgressMilestoneSummaryProject SummaryExternal TasksExternal MilestoneDeadlinePage 1


ID WBS Task Name Duration Start Finish Predecess 20<strong>11</strong> 2012 2013Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q445 2.7.2.2 Sub-sea assessment work programme based on available46 days Wed 01/02/12 Fri 30/03/12 1SSEnvironmental Management Teamdata & contractor reports46 3 Beach Monitoring Statistics 209.89 days Mon 04/04/<strong>11</strong> Fri 30/12/<strong>11</strong>47 3.1 Management of external statistical expert contract 20<strong>11</strong>/2012 80.54 days Mon 04/04/<strong>11</strong> Fri 15/07/<strong>11</strong>48 3.1.1 Review of Statistical techniques 20 days Mon 04/04/<strong>11</strong> Thu 28/04/<strong>11</strong> 1SS49 3.1.2 Review of sampling strategy 20 days Mon 04/04/<strong>11</strong> Thu 28/04/<strong>11</strong> 48SS50 3.1.3 Develop specification <strong>for</strong> support tasks 20 days Tue 21/06/<strong>11</strong> Fri 15/07/<strong>11</strong> 48,4951 3.2 Evaluation of beach monitoring statistics advice 20<strong>11</strong>/2012 149.35 days Tue 21/06/<strong>11</strong> Fri 30/12/<strong>11</strong>52 3.2.1 Investigate application of statistical techniques & incorporate into 31 days Tue 21/06/<strong>11</strong> Fri 29/07/<strong>11</strong> 50SSassessment work programmes53 3.2.2 Investigate how statistical techniques can be used to underpin31 days Tue 21/06/<strong>11</strong> Fri 29/07/<strong>11</strong> 52SSthe beach monitoring programme54 3.2.3 Implementation of Statistical Techniques <strong>11</strong>8 days Mon 01/08/<strong>11</strong> Fri 30/12/<strong>11</strong> 52,53,5055 4 Prepare <strong>for</strong> EA <strong>Programme</strong> annual review (June 20<strong>11</strong>) 210.19 days Mon 04/04/<strong>11</strong> Fri 30/12/<strong>11</strong>56 4.1 Detailed review of Key Stakeholder Project Requirements 31 days Mon 04/04/<strong>11</strong> Thu 12/05/<strong>11</strong>57 4.1.1 Develop high level objectives from EA monitoring guidance 5 days Mon 04/04/<strong>11</strong> Fri 08/04/<strong>11</strong> 1SS58 4.1.2 Identify <strong>Sellafield</strong> LTD 'Key Questions' that need to be answered 5 days Tue 05/04/<strong>11</strong> Tue 12/04/<strong>11</strong> 5759 4.1.3 Link 'key questions' to objectives 5 days Thu 07/04/<strong>11</strong> Thu 14/04/<strong>11</strong> 5860 4.1.4 Compare EA/FSA/HPA questions to <strong>Sellafield</strong> <strong>Ltd</strong> questions 5 days Mon <strong>11</strong>/04/<strong>11</strong> Mon 18/04/<strong>11</strong> 5961 4.1.5 Identify what work has already been completed 10 days Mon 18/04/<strong>11</strong> Fri 29/04/<strong>11</strong> 6062 4.1.6 Identify what gaps exist & areas <strong>for</strong> future work 10 days Fri 29/04/<strong>11</strong> Thu 12/05/<strong>11</strong> 6163 4.2 Review of analysis data - summary statistics 15 days Mon 04/04/<strong>11</strong> Thu 21/04/<strong>11</strong> 1SS64 4.3 Review contractor monitoring report <strong>for</strong> <strong>2010</strong>/20<strong>11</strong> 45 days Mon 04/04/<strong>11</strong> Tue 31/05/<strong>11</strong> 1SS65 4.4 Review of Internal analysis data 43 days Mon 04/04/<strong>11</strong> Fri 27/05/<strong>11</strong>66 4.4.1 Review proposed 'Inference' analysis methodology 43 days Mon 04/04/<strong>11</strong> Fri 27/05/<strong>11</strong> 1SS67 4.4.2 Review of analysis data - summary statistics 43 days Mon 04/04/<strong>11</strong> Fri 27/05/<strong>11</strong> 1SS68 4.5 Review of External Analysis data 43 days Mon 04/04/<strong>11</strong> Fri 27/05/<strong>11</strong> 1SS69 4.6 HPA Risk Assessment 196.14 days Thu 21/04/<strong>11</strong> Fri 30/12/<strong>11</strong>70 4.6.1 Review HPA Risk Assessment 5 days Thu 21/04/<strong>11</strong> Wed 27/04/<strong>11</strong> 1SS71 4.6.2 Data provision to HPA 141 days Fri 01/07/<strong>11</strong> Fri 30/12/<strong>11</strong> 7072 4.6.3 Implications of recent synergy data 141 days Fri 01/07/<strong>11</strong> Fri 30/12/<strong>11</strong> 71SS73 4.6.4 <strong>Sellafield</strong> <strong>Ltd</strong> particle density estimate 21 days Mon 04/07/<strong>11</strong> Fri 29/07/<strong>11</strong> 71SS74 4.7 Review of external statistical work 19 days Wed 01/06/<strong>11</strong> Fri 24/06/<strong>11</strong> 1SS75 4.8 Review of Aquadopp data 47 days Mon 02/05/<strong>11</strong> Thu 30/06/<strong>11</strong> 1SS76 4.9 Review aerial gamma survey report 69 days Mon 04/04/<strong>11</strong> Thu 30/06/<strong>11</strong> 1SS77 4.10 Review rationale <strong>for</strong> 20<strong>11</strong>/2012 monitoring programme 69 days Mon 04/04/<strong>11</strong> Thu 30/06/<strong>11</strong> 1SS78 4.<strong>11</strong> <strong>Annual</strong> review of objectives to provide prioritised detailed69 days Mon 04/04/<strong>11</strong> Thu 30/06/<strong>11</strong> 1SSobjectives <strong>for</strong> 20<strong>11</strong>/201279 4.12 Make annual Submission to EA 0 days Thu 30/06/<strong>11</strong> Thu 30/06/<strong>11</strong> 57,58,59,680 5 EA <strong>Programme</strong> Update Meeting (July 20<strong>11</strong>) 5 days Mon <strong>11</strong>/07/<strong>11</strong> Fri 15/07/<strong>11</strong>81 5.1 Prepare <strong>for</strong> EA <strong>Programme</strong> update meeting 5 days Mon <strong>11</strong>/07/<strong>11</strong> Fri 15/07/<strong>11</strong> 7982 5.2 Attend EA <strong>Programme</strong> update meeting 0 days Fri 15/07/<strong>11</strong> Fri 15/07/<strong>11</strong> 8183 6 Investigate Subsea monitoring operations options <strong>for</strong> 20<strong>11</strong>/2012 29.86 days Mon 18/04/<strong>11</strong> Wed 25/05/<strong>11</strong>84 6.1 Investigate options <strong>for</strong> trial of Dounreay ROV 15 days Mon 18/04/<strong>11</strong> Thu 05/05/<strong>11</strong> 6285 6.2 Confirm Contractual position / constraints. 5 days Thu 05/05/<strong>11</strong> Wed <strong>11</strong>/05/<strong>11</strong> 8486 6.3 Meet with Dounreay & Contractor to consider operational0 days Tue 17/05/<strong>11</strong> Tue 17/05/<strong>11</strong> 85options/constraints87 6.4 Internal review of potential <strong>for</strong> conducting trial 5 days Thu 19/05/<strong>11</strong> Wed 25/05/<strong>11</strong> 8688 7 End of Concept phase gate review 5 days Fri 15/07/<strong>11</strong> Fri 22/07/<strong>11</strong> 82,84,85,889 8 Grab Sampling <strong>Programme</strong> 20<strong>11</strong>/2012 161.22 days Thu 19/05/<strong>11</strong> Wed 14/12/<strong>11</strong>External Contract - Beach MonitoringExternal Contract - Beach MonitoringEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management Team30/06Environmental Management Team15/07Environmental Management TeamEnvironmental Management Team17/05Environmental Management TeamProject Steering GroupProject: Particles in the EnvironmentDate: Wed 29/06/<strong>11</strong>TaskSplitProgressMilestoneSummaryProject SummaryExternal TasksExternal MilestoneDeadlinePage 2


ID WBS Task Name Duration Start Finish Predecess 20<strong>11</strong> 2012 2013Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q490 8.1 Develop EA sediment Grab Sampling Specification 58.22 days Thu 19/05/<strong>11</strong> Tue 02/08/<strong>11</strong>91 8.1.1 Liaise with EA/Nuvia regarding specification - How, What, Where 56 days Thu 19/05/<strong>11</strong> Fri 29/07/<strong>11</strong> 1SS& When?92 8.1.2 Agree Cost & Recovery route <strong>for</strong> EA work 56 days Thu 19/05/<strong>11</strong> Fri 29/07/<strong>11</strong> 91SS93 8.1.3 Liaise with Babcock Laboratory on sample analysis requirements- number of samples, analytes, detection limits.42 days Thu 09/06/<strong>11</strong> Tue 02/08/<strong>11</strong> 92SSEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management Team94 8.1.4 Agree analysis costs & contractual arrangements 24 days Fri 01/07/<strong>11</strong> Tue 02/08/<strong>11</strong> 93SS95 8.2 EA grab sampling operations 20<strong>11</strong>/2012 103 days Tue 02/08/<strong>11</strong> Wed 14/12/<strong>11</strong>96 8.2.1 Sampling Operations 22 days Tue 02/08/<strong>11</strong> Wed 31/08/<strong>11</strong> 91,92,93,997 8.2.2 Sediment sample delivery to labs 1 day Wed 31/08/<strong>11</strong> Thu 01/09/<strong>11</strong> 9698 8.2.3 Sample analysis 40 days Thu 01/09/<strong>11</strong> Mon 24/10/<strong>11</strong> 9799 8.2.4 Review grab sampling data & generate a report 40 days Mon 24/10/<strong>11</strong> Wed 14/12/<strong>11</strong> 98100 8.2.5 Present report to the EA 0 days Wed 14/12/<strong>11</strong> Wed 14/12/<strong>11</strong> 99101 9 Develop a Particle transport & model specification 47 days Fri 01/07/<strong>11</strong> Wed 31/08/<strong>11</strong>102 9.1 Collate data on Sealine Condition 47 days Fri 01/07/<strong>11</strong> Wed 31/08/<strong>11</strong> <strong>11</strong>03 9.2 Collate sub-sea monitoring data 47 days Fri 01/07/<strong>11</strong> Wed 31/08/<strong>11</strong> 102SS104 9.3 Collate in<strong>for</strong>mation on non-natural particle movement/distribution 47 days Fri 01/07/<strong>11</strong> Wed 31/08/<strong>11</strong> 103SS105 9.4 Collate data on PSPWG 47 days Fri 01/07/<strong>11</strong> Wed 31/08/<strong>11</strong> 104SS106 10 Project Definition Phase Documents 50 days Wed 31/08/<strong>11</strong> Thu 03/<strong>11</strong>/<strong>11</strong>107 10.1 Define the Project scope 5 days Wed 31/08/<strong>11</strong> Tue 06/09/<strong>11</strong> 88108 10.2 Define the project Risk Management Plan 10 days Tue 06/09/<strong>11</strong> Mon 19/09/<strong>11</strong> 107109 10.3 Define the project Stakeholder Management plan 5 days Mon 19/09/<strong>11</strong> Mon 26/09/<strong>11</strong> 108<strong>11</strong>0 10.4 Define the project Communications Management plan 5 days Mon 26/09/<strong>11</strong> Mon 03/10/<strong>11</strong> 109<strong>11</strong>1 10.5 Define the project Business Case 10 days Mon 03/10/<strong>11</strong> Fri 14/10/<strong>11</strong> 108,109,<strong>11</strong><strong>11</strong>2 10.6 Define a project Quality Management Plan 5 days Fri 14/10/<strong>11</strong> Fri 21/10/<strong>11</strong> <strong>11</strong><strong>11</strong>13 10.7 Define the Project Management Plan 10 days Fri 21/10/<strong>11</strong> Thu 03/<strong>11</strong>/<strong>11</strong> <strong>11</strong>2<strong>11</strong>4 <strong>11</strong> Develop a Sub-sea Investigation Project <strong>for</strong> 2012 onwards 490.81 days Mon 04/07/<strong>11</strong> Fri 29/03/13<strong>11</strong>5 <strong>11</strong>.1 Agree OJEU strategy 22 days Mon 04/07/<strong>11</strong> Mon 01/08/<strong>11</strong> 1SS<strong>11</strong>6 <strong>11</strong>.2 Prepare detailed scope <strong>for</strong> OJEU publication in 20<strong>11</strong>/2012 182.32 days Mon 01/08/<strong>11</strong> Fri 23/03/12<strong>11</strong>7 <strong>11</strong>.2.1 Prioritise / bound scope of work <strong>for</strong> year 1 & update business30 days Mon 01/08/<strong>11</strong> Thu 08/09/<strong>11</strong> <strong>11</strong>5case<strong>11</strong>8 <strong>11</strong>.2.2 Collate currently available data 30 days Wed 31/08/<strong>11</strong> Mon 10/10/<strong>11</strong> 103,104,10<strong>11</strong>9 <strong>11</strong>.2.3 Generate Request <strong>for</strong> Tender 30 days Mon 10/10/<strong>11</strong> Wed 16/<strong>11</strong>/<strong>11</strong> <strong>11</strong>8120 <strong>11</strong>.2.4 End of Definition phase gate review 5 days Wed 16/<strong>11</strong>/<strong>11</strong> Wed 23/<strong>11</strong>/<strong>11</strong> <strong>11</strong>9,<strong>11</strong>3121 <strong>11</strong>.2.5 Publish request <strong>for</strong> tender on OJEU 0 days Wed 23/<strong>11</strong>/<strong>11</strong> Wed 23/<strong>11</strong>/<strong>11</strong> 120122 <strong>11</strong>.2.6 OJEU Tender period 60 days Wed 23/<strong>11</strong>/<strong>11</strong> Thu 09/02/12 12<strong>11</strong>23 <strong>11</strong>.2.7 Review/score tender bids 2 days Thu 09/02/12 Fri 10/02/12 122124 <strong>11</strong>.2.8 'Cooling-Off Period 15 days Fri 10/02/12 Thu 01/03/12 123125 <strong>11</strong>.2.9 Project gate review 0 days Thu 01/03/12 Thu 01/03/12 124126 <strong>11</strong>.2.10 Award Contract <strong>for</strong> 2012/2013 0 days Thu 01/03/12 Thu 01/03/12 125127 <strong>11</strong>.2.<strong>11</strong> Contract acceptance deadline 0 days Fri 23/03/12 Fri 23/03/12 126128 <strong>11</strong>.3 Deliver Contract in 2012/2013 to define a Sub-sea MonitoringBPM/BPEO Detailed Scope / outline task specification240 days Mon 02/04/12 Wed 06/02/13Environmental Management TeamExternal Contract - sub-sea monitoringExternal Contract - sub-sea monitoringBabcock NuclearEnvironmental Management Team14/12Environmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamProject SupportProject SupportProject SupportProject SupportProject SupportProject SupportEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamProject Steering Group23/<strong>11</strong>Source Evaluation Board01/0301/0323/03129 <strong>11</strong>.3.1 External Contract Start 0 days Mon 02/04/12 Mon 02/04/12 127130 <strong>11</strong>.3.2 Detection Capabilities 120 days Mon 02/04/12 Tue 04/09/12131 <strong>11</strong>.3.2.1 Evaluation of Sub-sea alpha detection capabilities 120 days Mon 02/04/12 Tue 04/09/12 129SS132 <strong>11</strong>.3.2.2 Evaluation of sub-sea beta detection capabilities 120 days Mon 02/04/12 Tue 04/09/12 129SS133 <strong>11</strong>.3.2.3 Evaluation of sub-sea gamma detection capabilities 120 days Mon 02/04/12 Tue 04/09/12 129SS134 <strong>11</strong>.3.3 Sub-sea particle detection & recovery modelling 120 days Tue 04/09/12 Wed 06/02/13135 <strong>11</strong>.3.3.1 Develop recovery options 120 days Tue 04/09/12 Wed 06/02/13 131,132,1302/04External Contract - sub-sea monitoringExternal Contract - sub-sea monitoringExternal Contract - sub-sea monitoringExternal Contract - sub-sea monitorinProject: Particles in the EnvironmentDate: Wed 29/06/<strong>11</strong>TaskSplitProgressMilestoneSummaryProject SummaryExternal TasksExternal MilestoneDeadlinePage 3


ID WBS Task Name Duration Start Finish Predecess 20<strong>11</strong> 2012 2013Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4136 <strong>11</strong>.3.3.2 Conceptual model development 120 days Tue 04/09/12 Wed 06/02/13 131,132,13External Contract - sub-sea monitorin137 <strong>11</strong>.3.3.3 Development of BAT/BPEO case 120 days Tue 04/09/12 Wed 06/02/13 131,132,13138 <strong>11</strong>.3.3.4 Complete detailed swathe bathymetry of <strong>Sellafield</strong> off-shore 120 days Tue 04/09/12 Wed 06/02/13 131,132,13area139 <strong>11</strong>.3.4 Develop initial sub-sea monitoring strategy 60 days Tue 04/09/12 Tue 20/<strong>11</strong>/12 131,132,13140 <strong>11</strong>.3.5 Model the Dounreay ROV <strong>for</strong> the <strong>Sellafield</strong> Environment 120 days Tue 04/09/12 Wed 06/02/13 131,132,13141 <strong>11</strong>.3.6 Develop the specification <strong>for</strong> a Dounreay ROV trial at <strong>Sellafield</strong> 120 days Tue 04/09/12 Wed 06/02/13 131,132,13External Contract - sub-sea monitorinExternal Contract - sub-sea monitorinExternal Contract - sub-sea monitoringExternal Contract - sub-sea monitorinExternal Contract - sub-sea monitorin142 <strong>11</strong>.3.7 Develop system deployment 120 days Tue 04/09/12 Wed 06/02/13 131,132,13143 <strong>11</strong>.3.8 External Contract Project End 0 days Wed 06/02/13 Wed 06/02/13 138,135,13144 <strong>11</strong>.3.9 Project gate review 0 days Wed 06/02/13 Wed 06/02/13 143145 <strong>11</strong>.4 Develop a Contact <strong>for</strong> delivery of a sub-sea monitoring40 days Wed 06/02/13 Fri 29/03/13programme in 2013/2014146 <strong>11</strong>.4.1 Prioritise / bound scope of work & update business case 20 days Wed 06/02/13 Mon 04/03/13 144147 <strong>11</strong>.4.2 Collate currently available data 20 days Wed 06/02/13 Mon 04/03/13 146SS148 <strong>11</strong>.4.3 Process a Purchase Order <strong>for</strong> Services 15 days Mon 04/03/13 Fri 22/03/13 147,146149 <strong>11</strong>.4.4 Award Contract <strong>for</strong> 2013/2014 5 days Fri 22/03/13 Fri 29/03/13 148150 12 Routine <strong>Programme</strong> Lifetime Plan 12 planning 159.46 days Thu 01/09/<strong>11</strong> Mon 26/03/12External Contract - sub-sea monitorin06/0206/02Environmental Management TeamEnvironmental Management TeamEnvironmental Management TeaEnvironmental Management Te151 12.1 Determine the scope <strong>for</strong> the Beach Monitoring contract <strong>for</strong> 2012/2013 30 days Thu 01/09/<strong>11</strong> Mon 10/10/<strong>11</strong> 1SS& obtain cost estimates152 12.2 Determine the scope <strong>for</strong> the Statistical Expert (Beach Monitoring)30 days Thu 01/09/<strong>11</strong> Mon 10/10/<strong>11</strong> 1SScontract <strong>for</strong> 2012/2013 obtain cost estimates153 12.3 Determine the scope <strong>for</strong> the GIS support contract obtain cost30 days Thu 01/09/<strong>11</strong> Mon 10/10/<strong>11</strong> 1SSestimates154 12.4 Determine the scope <strong>for</strong> the detailed beach finds analysis contract <strong>for</strong> 30 days Thu 01/09/<strong>11</strong> Mon 10/10/<strong>11</strong> 1SS2012/2013 obtain cost estimates155 12.5 Submit cost estimates <strong>and</strong> business case <strong>for</strong> inclusion in BoE <strong>for</strong>15 days Mon 10/10/<strong>11</strong> Fri 28/10/<strong>11</strong> 151,152,152012/13156 12.6 Gain confirmation of 2012/2013 funding availability in LTP 12 0 days Fri 28/10/<strong>11</strong> Fri 28/10/<strong>11</strong> 155157 12.7 Commercial Contract POs 20 days Wed 29/02/12 Mon 26/03/12Environmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management TeamProject Support28/10158 12.7.1 Beach Monitoring Contract PO <strong>for</strong> 2012/2013 20 days Wed 29/02/12 Mon 26/03/12 151,156159 12.7.2 Stats expert contract PO <strong>for</strong> 2012/2013 20 days Wed 29/02/12 Mon 26/03/12 152,156160 12.7.3 GIS support contract PO <strong>for</strong> 2012/2013 20 days Wed 29/02/12 Mon 26/03/12 153,156161 12.7.4 Beach Finds detailed analysis contract PO <strong>for</strong> 2012/2013 20 days Wed 29/02/12 Mon 26/03/12 154,156162 13 Identification of particle sources & pathways 14 days Mon 14/<strong>11</strong>/<strong>11</strong> Wed 30/<strong>11</strong>/<strong>11</strong>Environmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management Team163 13.1 Identification of particle sources & pathways: Beta Rich particle14 days Mon 14/<strong>11</strong>/<strong>11</strong> Wed 30/<strong>11</strong>/<strong>11</strong> 33analysis / evaluation164 13.2 Review of on-site particle exclusion work 14 days Mon 14/<strong>11</strong>/<strong>11</strong> Wed 30/<strong>11</strong>/<strong>11</strong> 163SS165 13.3 PSPWG work 14 days Mon 14/<strong>11</strong>/<strong>11</strong> Wed 30/<strong>11</strong>/<strong>11</strong> 164SS166 13.4 Evaluation of historic activities & their environmental impact. 14 days Mon 14/<strong>11</strong>/<strong>11</strong> Wed 30/<strong>11</strong>/<strong>11</strong> 165SS167 14 Periodic Stakeholder Metings 248.65 days Mon 04/04/<strong>11</strong> Mon 20/02/12Environmental Management TeamEnvironmental Management TeamEnvironmental Management TeamEnvironmental Management Team168 14.1 WCSSG Env. Sub Committee Meetings 140.54 days Thu 26/05/<strong>11</strong> Thu 24/<strong>11</strong>/<strong>11</strong>169 14.1.1 Update WCSSG Env. Sub committee (May 20<strong>11</strong>) 0 days Thu 26/05/<strong>11</strong> Thu 26/05/<strong>11</strong> 1SS170 14.1.2 Update WCSSG Env. Sub committee (Nov 20<strong>11</strong>) 0 days Thu 24/<strong>11</strong>/<strong>11</strong> Thu 24/<strong>11</strong>/<strong>11</strong> 1SS171 14.2 EA <strong>Programme</strong> Update Meeting October 20<strong>11</strong> 9.73 days Mon 17/10/<strong>11</strong> Fri 28/10/<strong>11</strong>26/0524/<strong>11</strong>172 14.2.1 Prepare <strong>for</strong> EA programme update meeting 5 days Mon 17/10/<strong>11</strong> Fri 21/10/<strong>11</strong> 82173 14.2.2 Attend EA <strong>Programme</strong> update meeting 0 days Fri 28/10/<strong>11</strong> Fri 28/10/<strong>11</strong> 172174 14.3 HPA Technical review Meeting Nov 20<strong>11</strong> 0 days Tue 01/<strong>11</strong>/<strong>11</strong> Tue 01/<strong>11</strong>/<strong>11</strong> 1SS175 14.4 Seabed working group meetings <strong>11</strong>3.51 days Thu 07/07/<strong>11</strong> Thu 01/12/<strong>11</strong>Environmental Management Team28/1001/<strong>11</strong>176 14.4.1 Seabed working group meeting (July 20<strong>11</strong>) 0 days Thu 07/07/<strong>11</strong> Thu 07/07/<strong>11</strong> 1SS177 14.4.2 Seabed working group meeting (September 20<strong>11</strong>) 0 days Thu 01/09/<strong>11</strong> Thu 01/09/<strong>11</strong> 176178 14.4.3 Seabed working group meeting Dec 20<strong>11</strong> 0 days Thu 01/12/<strong>11</strong> Thu 01/12/<strong>11</strong> 177179 14.5 EA <strong>Programme</strong> update meeting Feb 2012 23.78 days Mon 02/01/12 Wed 01/02/1207/0701/0901/12180 14.5.1 Prepare <strong>for</strong> EA <strong>Programme</strong> update meeting 5 days Mon 02/01/12 Fri 06/01/12 173181 14.5.2 Attend EA <strong>Programme</strong> update meeting 0 days Wed 01/02/12 Wed 01/02/12 180Environmental Management Team01/02Project: Particles in the EnvironmentDate: Wed 29/06/<strong>11</strong>TaskSplitProgressMilestoneSummaryProject SummaryExternal TasksExternal MilestoneDeadlinePage 4


ID WBS Task Name Duration Start Finish Predecess 20<strong>11</strong> 2012 2013Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4182 14.6 COMARE (SWG) meeting Feb 2012 0 days Mon 20/02/12 Mon 20/02/12 1SS20/02183 14.7 Multi-Agency Meetings (TBC) 0 days Mon 04/04/<strong>11</strong> Mon 04/04/<strong>11</strong> 1SS184 15 Project Ends 0 days Fri 29/03/13 Fri 29/03/13 28,38,10,104/0429/03Project: Particles in the EnvironmentDate: Wed 29/06/<strong>11</strong>TaskSplitProgressMilestoneSummaryProject SummaryExternal TasksExternal MilestoneDeadlinePage 5


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>ReferencesBeddow H. <strong>2010</strong>a. Large scale beach trials to evaluate the operational per<strong>for</strong>mance ofGroundhog Evolution2. Nuvia.Beddow H. <strong>2010</strong>b. Large scale beach trials to evaluate the operational per<strong>for</strong>mance ofGroundhog Synergy system. Nuvia.Brown J, Etherington G. 20<strong>11</strong>. Health risks <strong>for</strong> radioactive objects on beaches in the vicinityof the <strong>Sellafield</strong> site. HPA-CRCE-018.Clough MEJ. <strong>2010</strong>. Offshore Monitoring at <strong>Sellafield</strong>: Status <strong>and</strong> Progress <strong>Report</strong>- Workdone to March <strong>2010</strong>. SSEM/<strong>2010</strong>/33 (March <strong>2010</strong>).Clough MEJ. 2009. Offshore Monitoring at <strong>Sellafield</strong>: Status <strong>and</strong> Progress <strong>Report</strong>- Workdone to March <strong>2010</strong>. SSEM/2009/27 (March 2009).Beach Monitoring BPM Desk Study of techniques <strong>for</strong> detecting radioactive particles onbeaches Study October 2008- Serco (SERCO/TAS/2301/002)Brown J <strong>and</strong> Etherington G. 20<strong>11</strong>. Health Risks from Radioactive Objects on Beaches in thevicinity of the <strong>Sellafield</strong> Site. HPA-CRCE-018.Clacher A, Cowper M, Stone N, Holton D,. Analysis of Beach monitoring Finds - SecondTranche, TCS/003890/003 Issue 1, 21 July <strong>2010</strong>.Cooper J. 20<strong>11</strong>. Letter to S Page re: <strong>Sellafield</strong> Radioactive Particles in the Environment on21 April 20<strong>11</strong>.Dalton A. <strong>2010</strong> Beach Monitoring BPM Review. (SSEM/<strong>2010</strong>/75) October <strong>2010</strong>.Dalton A. Progress update on beach monitoring R&D Action Plan. SSEM/<strong>2010</strong>/25 (March<strong>2010</strong>)Davies M. 2008. Groundhog Evolution 2 Limits of Detection <strong>for</strong> 241 Am, 90 Sr, 60 Co <strong>and</strong> 137 Cs.87204/TR/013 issue A, April 2008.D'Souza J. <strong>2010</strong>. <strong>Annual</strong> Beach Monitoring <strong>Report</strong> 2009/10. SSEM/<strong>2010</strong>/59, Issue 1, 30 July<strong>2010</strong>.D’Souza J, <strong>Annual</strong> Beach Monitoring <strong>Report</strong> 2008/09. SSEM/2009/75, Issue 1, July 2009.<strong>Sellafield</strong> <strong>Ltd</strong>.Desmond J. 2009. <strong>Sellafield</strong> Beach Monitoring Best Practicable Means Study.SSEM/2008/121 (March 2009).Etherington G. 20<strong>11</strong>. Letter to TG Parker on 12 May 20<strong>11</strong> re: Dosimetry Assessment <strong>for</strong>Nuvia workers engaged in beach monitoring.Etherington G, Gregoratto D, Brichall A. 20<strong>11</strong>. Dosimetry assessment <strong>for</strong> Nuvia workersengaged in beach monitoring. Health Protection Agency. CRCE-TOX-05-20<strong>11</strong>.Groves C, Little P. <strong>2010</strong>. Review of particle age estimation methodology <strong>and</strong> agedetermination of <strong>Sellafield</strong> beach particles. Issue 2. NNL (09)10702. RESTRICTED.© Nuclear Decommissioning Authority 20<strong>11</strong>. 121


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Hackney PD, Dalton AP, Courtney B. <strong>2010</strong>. <strong>Report</strong> on the potential sources & pathways <strong>for</strong>the alpha-rich particulate finds being detected <strong>and</strong> recovered from beaches associated withthe <strong>Sellafield</strong> nuclear licensed site in west Cumbria. SSEM/2009/23 issue 1 (RESTRICTED),16 June <strong>2010</strong>.Hall D. 20<strong>11</strong>. Results of Beach Monitoring around <strong>Sellafield</strong> April <strong>2010</strong> – March 20<strong>11</strong>.87257/TR/008 Issue 1.Hemming K, Summary report – detection <strong>and</strong> recovery of radioactive particulate frombeaches associated with the <strong>Sellafield</strong> nuclear licensed site. SSEM/2008/64, Issue 2.<strong>Sellafield</strong> <strong>Ltd</strong>.HPA-CRCE-018 April 20<strong>11</strong>, Health Risks from Radioactive Objects on Beaches in theVicinity of the <strong>Sellafield</strong> Site, Brown J, Etherington G, <strong>and</strong> HPA-CRCE-018 (supplement)April 20<strong>11</strong>, Supporting In<strong>for</strong>mation <strong>for</strong> the Assessment of the Health Risks from RadioactiveObjects on Beaches in the Vicinity of the <strong>Sellafield</strong> Site, Oatway W, Brown J, Etherington G,Anderson T, Fell T, Eslava-Gomez A, Hodgson A, Pellow PGD <strong>and</strong> Youngman MICRP Publication 3 March 2007, The 2007 Recommendations of the InternationalCommission on Radiological Protection.Locke J. <strong>2010</strong>. Review of potential Beach Monitoring techniques.(SERCO/TAS/4772/001)September <strong>2010</strong>.Oatway W, Brown J, Etherington G, Anderson T, Fell T, Eslava-Gomez A, Hodgson A,Pellow PGD, Youngman M. 20<strong>11</strong>. Supporting in<strong>for</strong>mation <strong>for</strong> the assessment of the healthrisks from radioactive objects on beaches in the vicinity of the <strong>Sellafield</strong> site. HPA-CRCE-018(supplement), ISBN 978-0-85951-693-8, April 20<strong>11</strong>.Pellow PGD, Hodgson A, Etherington G, Ham G, Fell TP, Harrison JD. <strong>2010</strong>. The intestinalabsorption of plutonium <strong>and</strong> americium from a further five particles recovered from Cumbrianbeaches. HPA: CRCE-DA-13-<strong>2010</strong>-Revision_1, June <strong>2010</strong>.R<strong>and</strong>les T. <strong>2010</strong>. Potential Exposure Pathways <strong>for</strong> <strong>Sellafield</strong> Beach Monitoring Workers.Nuvia Internal Technical <strong>Report</strong>. December <strong>2010</strong> (87257/TR/006).Scott EM, Tyler AN. 20<strong>11</strong>. Radioactive particle monitoring: statistical techniques, (<strong>Report</strong> I),21 June 20<strong>11</strong>.Scott EM, Tyler AN. 20<strong>11</strong>. Radioactive particle monitoring: statistical sampling techniques,(<strong>Report</strong> II), 22 June 20<strong>11</strong>.Tossell P. Letter to S Page, Environment Agency, 15/03/20<strong>11</strong>. Health Protection Agency.Cowper M, Stone N, Holton D,. Analysis of Beach monitoring finds - Final <strong>Report</strong> Issue 2,SERCO/002037/1, December 2009.Vives Lynch S. 2006. Probability distribution <strong>for</strong> the beaching of particles based on acontinuous annual discharge from the British Nuclear Group, <strong>Sellafield</strong> site. WestlakesScientific Consulting (050160/02).Westlakes Scientific Consulting. 2006. Probability distribution <strong>for</strong> the beaching of particlesbased on continuous annual discharge from the British Nuclear Group, <strong>Sellafield</strong> Site.050160/02, First issue.© Nuclear Decommissioning Authority 20<strong>11</strong>. 122


© Nuclear Decommissioning Authority 20<strong>11</strong>


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Appendix 1<strong>2010</strong>/<strong>11</strong> Beach Monitoring Coverage Maps


Allonby monitoring extent <strong>for</strong> <strong>2010</strong>/<strong>11</strong>.


Harrington monitoring extent <strong>and</strong> associated beach finds <strong>for</strong> <strong>2010</strong>/<strong>11</strong>.


Parton monitoring extent <strong>for</strong> <strong>2010</strong>/<strong>11</strong>.


Whitehaven North/Harbour monitoring extent <strong>and</strong> associated beach finds <strong>for</strong> <strong>2010</strong>/<strong>11</strong>.


St Bees monitoring extent <strong>and</strong> associated beach finds <strong>for</strong> <strong>2010</strong>/<strong>11</strong>.


Nethertown monitoring extent <strong>for</strong> <strong>2010</strong>/<strong>11</strong>.


Seascale monitoring extent <strong>and</strong> associated beach finds <strong>for</strong> <strong>2010</strong>/<strong>11</strong>.


Drigg monitoring extent <strong>and</strong> associated beach finds <strong>for</strong> <strong>2010</strong>/<strong>11</strong>.


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Appendix 2Interpretation of Swath Bathymetry in the EasternIrish Sea <strong>for</strong> <strong>Sellafield</strong> <strong>Ltd</strong>© Nuclear Decommissioning Authority 20<strong>11</strong>.


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<strong>Sellafield</strong> Particle Work <strong>Programme</strong><strong>2010</strong>ESR87 Phase 1Interpretation of Swath Bathymetry in the eastern Irish Sea<strong>for</strong><strong>Sellafield</strong> <strong>Ltd</strong>December <strong>2010</strong>prepared by:Kershaw, P.J., Barrie, J., Dolphin, T. & Rees, J.M.The Centre <strong>for</strong> Environment, Fisheries & Aquaculture Science (Cefas)Pakefield Road, Lowestoft, Suffolk, NR33 0HTcontact: jon.rees@cefas.co.ukor peter.kershaw@cefas.co.ukCommercial-in-confidence


Contents1. Introduction ....................................................................................................................... 31.1 Background to report ................................................................................................... 31.2 Objectives ................................................................................................................... 32. Methods ............................................................................................................................ 33. Results .............................................................................................................................. 43.1 Analysis of existing swath bathymetry ......................................................................... 43.2 Options <strong>for</strong> acquiring new bathymetric data ............................................................ 83.3 Interpretation of gross geomorphological features (objective 2) ................................. 103.4 Additional sources of existing bathymetry data (objective 3) ...................................... <strong>11</strong>3.5 Recommendations <strong>for</strong> the design of the offshore monitoring programme (objective 4)........................................................................................................................................ 134 Conclusions ..................................................................................................................... 13


1. Introduction1.1 Background to reportThis report concerns one module of Phase 1 of a project (ESR87) being conducted by Cefason behalf of <strong>Sellafield</strong> <strong>Ltd</strong>. (SL), concerning the interpretation of swath bathymetry recordsheld by SL. It <strong>for</strong>ms part of a larger investigation of the sources, sinks <strong>and</strong> transportpathways of radioactive ‘particles’ found along the <strong>for</strong>eshore near <strong>Sellafield</strong>, Cumbria.Originally Cefas was sub-contracted to Westlakes Scientific Consulting <strong>Ltd</strong>. (WSCL), onbehalf of <strong>Sellafield</strong>, <strong>and</strong> an interim report was submitted to WLSC in April <strong>2010</strong>, be<strong>for</strong>e thecompany went into Administration. This report represents a summary of the findings <strong>and</strong> isthe key deliverable.1.2 ObjectivesThe objectives of this project were to:1. Analyse <strong>and</strong> interpret the 2009 survey swath bathymetry data held by SL;2. Compare the 2009 survey data with similar data from 2002 to establishchanges in bathymetry <strong>and</strong> bed<strong>for</strong>m characteristics;3. Acquire <strong>and</strong> analyse adjacent nearshore single beam bathymetry data fromSeazone Solutions <strong>Ltd</strong>., to extend the available bathymetry shoreward; <strong>and</strong>4. <strong>Report</strong> findings with particular reference to in<strong>for</strong>ming the sampling design ofthe offshore monitoring programme, the sampling design of a deliberatetracer release, <strong>and</strong> in<strong>for</strong>ming model parameterisation.Objective 1 had a completion date <strong>for</strong> March <strong>2010</strong> with subsequent objectives to bedelivered in the FY10/<strong>11</strong>.2. MethodsSwath or multibeam bathymetry provides a detailed picture of the depth <strong>and</strong> seabedmorphology. Images can be interpreted to provide in<strong>for</strong>mation about the spatial scale <strong>and</strong>extent of different bed<strong>for</strong>ms (e.g. scour pits, ripples; Figure 1). This in turn can be used: <strong>for</strong>planning sampling/measuring strategies (e.g. to identify the presence of ‘difficult’ ground <strong>for</strong>sampling); to estimate potential burial depths; to collate with other oceanographicmeasurements, such as current meters; to delineate habitats, <strong>and</strong> assist in the identificationof species <strong>for</strong> risk assessment; <strong>and</strong>, <strong>for</strong> in<strong>for</strong>ming the parameterisation of hydrodynamicmodels. Where time-series data are available these can be used to assess changes in thebathymetry <strong>and</strong> bed<strong>for</strong>m characteristics. Single beam bathymetry can provide in<strong>for</strong>mationabout bed height where swath data are lacking.


Figure 1 - Swath bathymetry of Scroby S<strong>and</strong>s windfarm, off the east coast of Engl<strong>and</strong>, shows mobilebed<strong>for</strong>ms (mega-ripples, scour pits, s<strong>and</strong> wave). The vertical red bars indicate the position ofmonopiles, <strong>and</strong> the purple line the line of the connecting cable. Red-orange areas indicate shallowerwater.The swath or multibeam survey data held by SL were analysed within the IVS3DFledermaus suite of visualisation <strong>and</strong> analysis software. This allows analysis of thebathymetry data to be undertaken at horizontal <strong>and</strong> vertical resolutions appropriate to thescale of the field of vision using a high speed “data mining engine”.3. Results3.1 Analysis of existing swath bathymetryThe “XYZ” data file held by SL was uploaded into the Fledermaus Package using a 1m by1m resolution in order to observe, characterise <strong>and</strong> map bed<strong>for</strong>ms within the survey area.Figure 2 shows the coverage of the survey along the Cumbrian coastline, <strong>and</strong> reveals largescalebathymetric features.The swath bathymetry has been used by Halcrow to produce maps of the bathymetry alongthe <strong>Sellafield</strong> coastline (Figure 3). The data quality is sufficient to delineate large scaleseabed features, e.g. s<strong>and</strong> banks at a typical horizontal scale of ~100m, or <strong>for</strong> numericalmodelling purposes which uses a coarse resolution grid (~ 1km). The Halcrow report makesno attempt to go beyond this high-level interpretation.


Figure 2 - Swath bathymetry map superimposed on the Admiralty Chart of the Cumbrian coastline.Reproduced from Admiralty Chart 1826 by permission of the Controller of Her Majesty's StationeryOffice <strong>and</strong> the UK Hydrographic Office (www.ukho.gov.uk) Arcs Chart Licence F46558002C2B4F56.Not to be used <strong>for</strong> navigation. Depth scale: 3-5 m red, 5-9 m yellow, 9-14 m green, 14-16 m pale blue,16-19 m mid-blue, 19-20 m dark blue.Figure 3 – Extract from Halcrow report demonstrating large-scale seabed features (Halcrow, 2009)


Figures 4 to 6 show the same data within the Fledermaus package <strong>and</strong> show the extent ofthe bathymetry survey, the <strong>Sellafield</strong> pipeline <strong>and</strong> the two Navigation Markers buoys (redcubes). Note a vertical exaggeration of only 6 times has been applied to the data. This 3Drepresentation of bathymetry data can be viewed in the free iView4D viewer available fromwww.IVS3d.com.Investigation of the bathymetry at a scale of 0 to 10m, which is required to observe,characterise <strong>and</strong> map seabed bed<strong>for</strong>ms, showed that a number of artefacts were visible inthe data (Figures 4 – 6). These of themselves would not prevent larger-scale features beinganalysed but were of similar amplitude to the smaller-scale features indicative of sedimenttransport. The likely causes of these artefacts include:1) Incomplete coverage2) Incorrect speed of sound correction applied3) Loss of bottom track4) Either poor weather conditions (large waves) <strong>and</strong>/or an incorrect calibration of theMotion Reference Unit (MRU) creating an artefact of typically 30 cm in the elevationof the seabed.5) Excessive lateral or vertical movement of the vessel, enhanced if the vessel deviatesfrom a regular sampling gridThe possibility of reprocessing the swath bathymetry to remove these artefacts wasinvestigated, but the original raw datasets produced by the Environment Agency were nolonger in existence <strong>and</strong> thus reprocessing was not possible.In summary, due to the presence of artefacts larger than the bed<strong>for</strong>ms this project set out tostudy, the available swath bathymetry did not allow us to meet the original aims of objective1. The quality is insufficient to observe, delineate or characterise sediment transportfeatures, such as s<strong>and</strong> waves <strong>and</strong> ripples, on horizontal scales of 1-10m. No further workwas undertaken using the swath bathymetry data.This conclusion was relayed to WSCL <strong>and</strong> SL when discovered. Further communication withthe EA Geomatics Unit revealed that they were using ‘a winter survey vessel in far from idealconditions with the MRU working to its limit’. Best practice was applied to the dataprocessing following the advice from a manufacturer's consultant (SEA). The data arethere<strong>for</strong>e believed to be as good as it was possible to achieve <strong>and</strong> no further processing ispossible to improve the data quality. The EA also point out that the data only have a 2mhorizontal <strong>and</strong> +/- 25cm vertical accuracy. The EA there<strong>for</strong>e suggested ‘it was alwaysunlikely that [we] were going to be able to pick out more subtle seabed features’.


Figure 4 - Swath bathymetry along in the Cumbrian coastline within the Fledermaus 3D visualisationsoftware. The position of the pipe (black line) <strong>and</strong> the navigation buoys (red cubes) are shown.12Figure 5 - Close-up of Figure 2 at a position near the end of the pipeline. Several artefacts are visible:the raw data density inconsistent <strong>and</strong> insufficient at outer range of the swath coverage (1) <strong>and</strong> loss ofbottom track (2). Note: Vertical exaggeration of 6.34Figure 6 - As Close-up of Figure 2 <strong>and</strong> showing two further artefacts: Incorrect speed of soundcreating U-shaped seabed profiles (3) <strong>and</strong> either poor weather conditions or MRU calibration errors(4). Note: Vertical exaggeration of 6.


3.2 Options <strong>for</strong> acquiring new bathymetric dataAs the quality of the available swath bathymetry data was insufficient to identify, map orcharacterise bed <strong>for</strong>ms, a number of alternative solutions to acquire suitable data wereinvestigated. Accurate, high quality maps of bed<strong>for</strong>ms are an essential tool in investigatingsediment transport patterns, pathways <strong>and</strong> potential sources <strong>and</strong> sinks of sediment.Potential solutions include:Extend <strong>2010</strong> Environment Agency survey - A new swath survey was planned tobe undertaken along the Cumbrian coastline (Barrow to Workington) in June, July<strong>and</strong> August <strong>2010</strong>, carried out by the EA Geomatics Group on behalf of Halcrow. Thework was to be funded by the Agency <strong>and</strong> a Local Authority. We had been suppliedwith GIS files indicating the proposed locations of the survey lines, extending 3kmfrom shore (Figure 7). We recommended that SL should consider funding the EA toextend the survey:- Up to 5km offshore at selected locations;- Adding survey lines along the <strong>Sellafield</strong> <strong>for</strong>eshore; <strong>and</strong>- Adding a limited number of lines parallel to the coast.The EA had in<strong>for</strong>med us that the survey would be undertaken with equipment able toobtain high resolution swath bathymetry data (Reson 8125 multibeam <strong>and</strong> POS MVmotion unit). We also recommended that a discussion should take place with the EAon the proposed vertical resolution <strong>and</strong> quality st<strong>and</strong>ards of the data be<strong>for</strong>ecommitting to extending the survey. This would have ensured the data would besuitable to meet the aims of this project. This in<strong>for</strong>mation was communicated to SLbut we were in<strong>for</strong>med that funding was not available to support the proposedextension.Figure 7 – Planned EA swath bathymetry survey, June-August <strong>2010</strong> (3km offshore from green dotlocations)


Commercial operator – a number of commercial operators exist that have thecapability to undertake a bespoke swath bathymetry survey of the area. Prices willvary depending on the scope of the project <strong>and</strong> the risks involved. For instance, thest<strong>and</strong>ing charges (mobilisation/demobilisation) start to become less significant <strong>for</strong> asurvey that will take several weeks to complete. The main risk is the down time dueto poor weather conditions.Invest in Eagle – The <strong>Sellafield</strong>-owned <strong>and</strong> operated vessel “Eagle” is capable ofhaving a swath bathymetry system installed. An initial assessment shows that,amongst others, a WASSP swath system (~£40-£50k) (www.wassp.com) orGeoSwath Plus system (~£150k) (www.km.kongsberg.com/geoacoustics) would besuitable <strong>for</strong> undertaking these surveys. The crew would need to be trained in theoperation of the instruments <strong>and</strong> processing of the data, with Cefas providing qualitycontrol support. A major benefit of this approach is that the Eagle <strong>and</strong> crew arealready funded <strong>and</strong> the vessel can be mobilised quickly if a weather window is<strong>for</strong>ecast, <strong>and</strong> the vessel is not required <strong>for</strong> other operations.In summary, three options are proposed in order to acquire the bathymetry in<strong>for</strong>mation.Table 1 shows these options with potential advantages/disadvantages <strong>and</strong> costs. Whilstthese are initial estimates they can help in<strong>for</strong>m the decision making process.Table 1 – Potential options <strong>for</strong> completion of Swath Survey.Option Proposal Rough Cost Advantages Disadvantages1 ExtendEnvironmentAgency surveyTBCVesselalreadyequippedNeed to ensure highquality of the survey toenable bed <strong>for</strong>mcharacterisation.[The <strong>2010</strong> survey hasbeen completed]2 Commercialsurvey£30k-£50k 13 Update Eagle WASSP(~£50k)GeoSwathPlus*(~£150k)High levels ofQualitycontrol. Fast.Uses existingship.*Industryst<strong>and</strong>ardequipmentMay cost more thanaugmenting EA survey.Need to train personnel.Initial cost.1 Exact Figure to advised


3.3 Interpretation of gross geomorphological features (objective 2)Although bed<strong>for</strong>m features cannot be identified from the 2009 swath bathymetry data, agross interpretation of the morphological changes can be attempted. After gridding the 2002<strong>and</strong> 2009 surveys in the Fledermaus package on a similar basis, the volumetric differencebetween the surfaces was calculated. This was then exported <strong>for</strong> visualisation in a GISpackage as shown in Figure 8. This revealed apparent differences in elevation, but there aresignificant uncertainties associated with interpretation due to differences in relative coverageof swath (‘complete’) vs. single beam (


further work has been undertaken to study bathymetric changes from Lidar <strong>and</strong> swathbathymetry surveys.Figure 9 - Comparison of the bathymetry changes between 2002 <strong>and</strong> 2009, <strong>and</strong> the terrestrialelevation changes from Lidar (2006 to 2009) <strong>for</strong> the area in the vicinity of the <strong>Sellafield</strong> pipe. Theblack line shows the Mean High Water line; red areas along the single-beam corridors representdeposition, blue areas erosion, <strong>and</strong> green areas no change (see text <strong>for</strong> qualifications oninterpretation).3.4 Additional sources of existing bathymetry data (objective 3)Other sources of bathymetric data exist in the Irish Sea. The key resource are those held bythe UKHO, made available through the commercial company SeaZone Solutions <strong>Ltd</strong>.Exploration of their archive shows the Cumbria coastline to be very sparsely charted within 6kilometres from the shoreline, with the majority charted by lead line between 1837 <strong>and</strong> 1895<strong>and</strong> only a small section directly offshore of <strong>Sellafield</strong> surveyed between 1937 <strong>and</strong> 1958. Asthese datasets are over 50 years old, <strong>and</strong> would be unlikely to reveal small scale changes intopography, no further ef<strong>for</strong>t has been made to extract them.A number of ad hoc bathymetry surveys have been undertaken in recent years in the NorthEast Irish Sea. The most useful data identified was collected as part of the StrategicEnvironmental Assessment (SEA, 2005). Figure 10 shows the swath bathymetry results fromfive small surveys. Panels 1 <strong>and</strong> 3 are most pertinent to this project but show conflictingsediment transport patterns. Panel 3, offshore from <strong>Sellafield</strong>, shows virtually no sedimenttransport with a spherical scour pattern around a wreck. However, Panel 1, near St Bees


Head, shows a marked northerly sediment transport direction with the scour pit from a wreckheading in a north to north north-easterly direction. It should be remembered that theseswath bathymetry maps only give an indication of the processes, magnitude <strong>and</strong> directionsof when sediment transport last took place. Thus, this could have been on the last tide(within 12hours), on the last Spring tide (last 28 days) or the last winter storm. Similarly,sediment transport occurs in a number of transport regimes under differing wave <strong>and</strong> currentconditions <strong>and</strong> the swath bathymetry maps may have only recorded the last of theseregimes.Figure 10 - Figure 17 from DTI (now DECC) SEA report (SEA (2005).Cefas’ research vessel automatically records swath bathymetry data at all times. The trackof the vessel is shown in Figure <strong>11</strong>. Inspection of the map shows that the vessel did nottransit the exact area of interest off <strong>Sellafield</strong>. Only data from near St Bees Head isavailable.


Figure <strong>11</strong> - Extract from OLEX bathymetry processing software showing the swath bathymetry track ofthe RV Cefas Endeavour in the north-eastern Irish Sea in 2009. The track is colour coded asbackscatter or hardness with the purples showing the <strong>Sellafield</strong> Mud patch <strong>and</strong> the reds as s<strong>and</strong>.3.5 Recommendations <strong>for</strong> the design of the offshore monitoring programme(objective 4)The swath bathymetry will be of use in improving the implementation of hydrodynamicmodels required to predict sediment transport. The data have revealed a number of largescalefeatures that may warrant further investigation as areas of potential deposition orerosion, <strong>and</strong> areas of rough substrate that may hinder sampling ef<strong>for</strong>ts, or act as temporarysinks <strong>for</strong> mobile particles. Un<strong>for</strong>tunately the data were insufficient to provide in<strong>for</strong>mation onsmaller-scale mobile features that would have been very useful <strong>for</strong> estimating the rates <strong>and</strong>direction of particle movement. In turn, this would have provided helpful guidance on thedesign <strong>and</strong> implementation of a deliberate particle release experiment. We will have to relyon the Aquadopp current meter records (<strong>11</strong> th June <strong>2010</strong> – late January 20<strong>11</strong>) from near theend of the pipe to guide the experimental design, if SL decides to pursue this option. Weshould also like to remind SL that we are in a position to conduct the Woodhead Driftertracer experiment at short notice (i.e. the drifters are tagged <strong>and</strong> assembled).4 Conclusions1. The existing SL swath bathymetry provides a relatively detailed map of the grossfeatures of the bottom topography.2. It was not possible to distinguish bed<strong>for</strong>ms associated with mobile sediment from theavailable SL swath bathymetry data, due to the relatively poor resolution <strong>and</strong> a range


of artefacts affecting the original dataset, at a similar scale to the features we weretrying to identify.3. Without in<strong>for</strong>mation on mobile bed<strong>for</strong>ms it was not possible to deduce sedimenttransport directions <strong>and</strong> pathways from these data, or of the depth of the seabedinfluenced by these bed<strong>for</strong>ms (to deduce potential burial depths of radioactiveparticles).4. A comparison of the 2009 swath <strong>and</strong> 2002 single-beam surveys suggested somechanges in the position of gross features but the significant difference in coverage(~100% vs.


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Appendix 3Currents at the <strong>Sellafield</strong> Pipeline: June <strong>2010</strong> –February 20<strong>11</strong>© Nuclear Decommissioning Authority 20<strong>11</strong>.


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Cefas contract report C3629CCurrents at the<strong>Sellafield</strong> pipeline:June <strong>2010</strong> – February 20<strong>11</strong>Authors: Tony Dolphin, Jon Rees, Peter KershawIssue date: 26 May, 20<strong>11</strong>



–contacts:tony.dolphin@cefas.co.ukpeter.kershaw@cefas.co.ukHead officeCentre <strong>for</strong> Environment, Fisheries & Aquaculture SciencePakefield Road, Lowestoft, Suffolk NR33 0HT, UKTel +44 (0) 1502 56 2244 Fax +44 (0) 1502 51 3865www.cefas.co.ukCefas is an executive agency of Defra–


Executive Summary –



Table of contents1 Introduction ................................................................................................................................... 1 2 Methods .......................................................................................................................................... 4 3 Results ......................................................................................................................................... 13 4 Discussion ................................................................................................................................... 42 –


56References ................................................................................................................................... 50Annex ........................................................................................................................................... 52Table of figures convention <strong>for</strong> currents is ‘direction to’, <strong>and</strong> the convention <strong>for</strong> waves is ‘directionfrom’. –



Table of tables– –


sinks <strong>and</strong> transport pathways of radioactive ‘particles’ ave been ‘contaminated’ by wave –





m thick ‘bins’ s support vessel ALN 040 ‘Eagle’ <strong>and</strong> her crew. In all but the final recovery, Cefas staff were present to –


– –



– –



– – – – –



calculated using the Soulsby’s (1997) fitted method. –



– – – – –


‘direction to’, <strong>and</strong> the convention <strong>for</strong> waves is ‘direction from’. –




second ‘burst’ average made every –– – –









– ––



marked “09/12/<strong>2010</strong>” –





–– –– – – –


– – –– – – –






– – – – –



Bed shear stress exceedance - <strong>Sellafield</strong> Pipeline100% exceedance908070605040 Tau-w Tau-c Tau-cw <strong>Sellafield</strong> 125 micron 250 micron 500 micron1mm2mm4mm30<strong>2010</strong>00.01 0.1 1 10Bed shear stress (N/m 2 ) –


Bed shear stress exceedance - <strong>Sellafield</strong> Pipeline100% exceedance101Tau-w Tau-c Tau-cw <strong>Sellafield</strong> 125 micron250 micron500 micron1mm 2mm 4mm0.10.010.01 0.1 1 10Bed shear stress (N/m 2 ) –




– –





– intertidal boundary). Appropriate numerical modelling over the wider St Bee’ – –


– –


Boon, J.D., 2004. Secrets of the Tide: Tide <strong>and</strong> Tidal Current analysis <strong>and</strong> Predictions,Storm surges <strong>and</strong> Sea Level Trends. Horwood Publishing, Chichester, U.K.212 pp.Dolphin, T.J., Rees, J.M., Kershaw, P., <strong>and</strong> Fern<strong>and</strong>, L., 20<strong>11</strong>. Analysis of Historical CurrentMeter Data. Cefas <strong>Report</strong> C3269B <strong>for</strong> the <strong>Sellafield</strong> Particle Work <strong>Programme</strong>,38 p.Hammond, T.M. <strong>and</strong> Collins, M.B., 1978. Flume studies of the response of various currentmeter rotor/propellers to combinations of unidirectional <strong>and</strong> oscillatory flow.Ocean Dynamics, 32 (2), 1616 – 7341.Howarth, M.J., 2006. Hydrography of the Irish Sea: SEA6 Technical <strong>Report</strong>. POL InternalDocument 174, 30 p.Kershaw, P.J., Aldridge, J.N., van der Molen, J., Huntley, D.A., Rees, J.M., <strong>and</strong> Mason, C.,2009. <strong>Sellafield</strong> Particle Work <strong>Programme</strong>, Work Stream 3: Transport <strong>and</strong>Dispersion Model Development. Cefas report <strong>for</strong> the Environment Agency, 104p.Lee, G, Dade, W.B., Friedrichs, C.T., <strong>and</strong> Vincent, C.E., 2004. Examination of referenceconcentration under waves <strong>and</strong> currents on the inner shelf. Journal ofGeophysical Research, 109, C02021, doi:10.1029/2002JC001707.Pugh, D.T., 2004. Changing Sea Levels: Effects of Tides, Weather <strong>and</strong> Climate. CambridgeUniversity Press, 265 pp.Sherwin, 1987. Measurements of current speed using an A<strong>and</strong>eraa RCM4 current meter inthe presence of surface waves. Continental Shelf Research, 8 (2), 131 – 144.Soulsby, R.L., 1997. Dynamics of Marine S<strong>and</strong>s. Thomas Tel<strong>for</strong>d <strong>Ltd</strong>, London, 249p.–


Soulsby, R.L. <strong>and</strong> Whitehouse, R.J.S.W, 1997. Threshold of sediment motion in coastalenvironments. Proceedings of Pacific Coasts <strong>and</strong> Ports ’97 Conference,Christchurch, New Zeal<strong>and</strong>, 1, 149 – 154.Vincent, M.A., Atkins, S.M., Lumb, C.M., Golding, N., Lieberknecht, L.M. <strong>and</strong> Webster, M.,2004. Marine nature conservation <strong>and</strong> sustainable development - the Irish SeaPilot. <strong>Report</strong> to Defra by the Joint Nature Conservation Committee,Peterborough.Young, E.F., Brown, J. <strong>and</strong> Aldridge, J.N., 2001. Application of a large area curvilinear modelto the study of the wind-<strong>for</strong>ced dynamics of flows through the North Channel ofthe Irish Sea. Continental Shelf Research, 21, 1403 – 1434.–











About usCefas is a multi-disciplinary scientific research <strong>and</strong>consultancy centre providing a comprehensive rangeof services in fisheries management, environmentalmonitoring <strong>and</strong> assessment, <strong>and</strong> aquaculture to a largenumber of clients worldwide.We have more than 500 staff based in 2 laboratories,our own ocean-going research vessel, <strong>and</strong> over 100 yearsof fisheries experience.We have a long <strong>and</strong> successful track record indelivering high-quality services to clients in a confidential<strong>and</strong> impartial manner.(www.cefas.co.uk)Cefas Technology Limited (CTL) is a wholly ownedsubsidiary of Cefas specialising in the application of Cefastechnology to specific customer needs in a cost-effective<strong>and</strong> focussed manner.CTL systems <strong>and</strong> services are developed by teams thatare experienced in fisheries, environmental management<strong>and</strong> aquaculture, <strong>and</strong> in working closely with clients toensure that their needs are fully met.(www.cefastechnology.co.uk).Customer focusWith our unique facilities <strong>and</strong> our breadth of expertise inenvironmental <strong>and</strong> fisheries management, we can rapidly puttogether a multi-disciplinary team of experienced specialists,fully supported by our comprehensive in-house resources.Our existing customers are drawn from a broad spectrumwith wide ranging interests. Clients include:international <strong>and</strong> UK government departmentsthe European Commissionthe World BankFood <strong>and</strong> Agriculture Organisation of the United Nations(FAO)oil, water, chemical, pharmaceutical, agro-chemical,aggregate <strong>and</strong> marine industriesnon-governmental <strong>and</strong> environmental organisationsregulators <strong>and</strong> en<strong>for</strong>cement agencieslocal authorities <strong>and</strong> other public bodiesWe also work successfully in partnership with otherorganisations, operate in international consortia <strong>and</strong> haveseveral joint ventures commercialising our intellectualpropertyHead officeCentre <strong>for</strong> Environment, Fisheries & Aquaculture SciencePakefield Road, Lowestoft,Suffolk NR33 0HT UKCentre <strong>for</strong> Environment, Fisheries & Aquaculture ScienceBarrack Road, The NotheWeymouth, DT4 8UBTel +44 (0) 1502 56 2244 Tel +44 (0) 1305 206600Fax +44 (0) 1502 51 3865 Fax +44 (0) 1305 206601Web www.cefas.co.ukprinted on paper made froma minimum 75% de-inkedpost-consumer waste© Crown copyright 20<strong>11</strong>


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Appendix 4Modelling Gamma Spectrometry Systems <strong>for</strong> use inBeach Monitoring Near <strong>Sellafield</strong>© Nuclear Decommissioning Authority 20<strong>11</strong>.


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Modelling Gamma Spectrometry SystemsFor Use in Beach Monitoring Near <strong>Sellafield</strong>Part II:Effect of 137 Cs Background <strong>and</strong> Simulation of FindsA.J. Cresswell, D.C.W. S<strong>and</strong>erson,June 20<strong>11</strong>Issue 1SUERC <strong>Report</strong> <strong>for</strong> <strong>Sellafield</strong> <strong>Ltd</strong>Contract # 4510249592


SummaryThe response of large volume Airborne Gamma Spectrometry (AGS) detectors has beenmodelled using Monte Carlo methods as part of an assessment of ways to enhancemonitoring of beaches <strong>and</strong> other coastal areas <strong>for</strong> radioactive particles. Airborne surveymethods are capable of rapid surveys of large areas, <strong>and</strong> of covering diverse environmentseffectively, including areas where ground based work is difficult to implement safely. Theyhave potential <strong>for</strong> increasing the effectiveness of ground based surveys, working in acomplementary manner to identify areas where detailed work including recovery operationswould be targeted. The study presented here is a continuation of an earlier study definingpoint source detection limits <strong>for</strong> airborne gamma spectrometry in natural radioactivitybackgrounds representative of the West Cumbria beaches. Here anthropogenic backgroundsin the area are also reviewed together with their impact on detection limits. Similarly thesignals that would be expected from particles already recovered from the beaches of WestCumbria are assessed in comparison with observed background <strong>for</strong> 137 Cs to appraise theextent to which those particles recovered may have contributed to past airborne surveys of thebeaches. Theoretical sensitivities have been assessed using airborne systems operated undertwo survey designs: a “rapid” design at 75 m (200 ft) ground clearance <strong>and</strong> a 70 knot (30 m s -1 )survey speed, capable of surveying > 60km of shore in a 2h survey with multiple lines; <strong>and</strong>also a “slow <strong>and</strong> low” design based on 15 m (50 ft) ground clearance <strong>and</strong> 15 knot (5 ms -1 )<strong>for</strong>ward velocity, suitable to surveys of ~5km of beach in a 2h flight. Additionalconsideration is given to surveys at further reduced height <strong>and</strong> speed, to meet a detectioncriterion of 10 5 Bq sources at 10cm burial depth.Monte-Carlo methods were used to simulate the full spectral responses <strong>for</strong> a series of 137 Cs<strong>and</strong> 241 Am point sources placed in simulated natural background environments with varying137 Cs background distributions. The MCII Monte Carlo code developed at SUERC, whichhas been extensively validated in the past <strong>and</strong> incorporates statistical estimation procedures tosimulate spectra at airborne source-detector separations, was used.A review of the distribution of dispersed 137 Cs on the beaches showed areas of beach withnegligible 137 Cs activity, areas with approximately uni<strong>for</strong>m 137 Cs backgrounds, <strong>and</strong> areas withpatches of dimensions of 5-10m with elevated 137 Cs activity. Samples collected from thehigher activity areas of the beaches had activity concentrations of ~50 Bq kg -1 . Spectra weresimulated <strong>for</strong> 137 Cs background distributions <strong>for</strong> single <strong>and</strong> multiple patches of activity with10m dimensions <strong>and</strong> 50 Bq kg -1 concentrations, <strong>and</strong> uni<strong>for</strong>m distributions of differentconcentrations, at 75 <strong>and</strong> 15m heights. The analyses <strong>for</strong> point sources with the mediumnatural background conducted in the earlier study were repeated with these different 137 Csbackgrounds.The data <strong>for</strong> the location, depth <strong>and</strong> activity <strong>for</strong> the recovered particles were used to simulatethe spectra that an airborne system would observe from these particles, <strong>and</strong> compared withthe spectra recorded during earlier surveys of the beaches of West Cumbria. Each particlerecovered is below the detection limit of a 75m survey, <strong>and</strong> even cumulatively the recoveredfinds would not result in any observed signal in the past surveys. The past airborne surveydata show that there is a considerable 137 Cs inventory on the beaches (1.3TBq between StBees <strong>and</strong> Duddon), of which the recovered particles represent


The results have shown that in the presence of approximately uni<strong>for</strong>m natural <strong>and</strong>anthropogenic background radiation fields typical <strong>for</strong> the s<strong>and</strong> <strong>and</strong> gravel beaches, “rapid”AGS surveys would have a detection limit <strong>for</strong> superficial 137 Cs sources of 5-10 MBq, <strong>and</strong>more detailed “low <strong>and</strong> slow” surveys would have detection limits of 200-300 kBq. Detectionlimits <strong>for</strong> sources at 10cm burial are a factor of 4 greater. “Low <strong>and</strong> slow” surveys havedetection limits <strong>for</strong> superficial 241 Am of 1-2 MBq. The patches of activity simulated heregenerate almost identical flight line profiles as point sources of similar total activity. Atground level the smaller field of view compared with airborne systems assists suchdiscrimination <strong>for</strong> activity patches of the dimensions simulated here, although the sameambiguity would exist <strong>for</strong> smaller patches of dispersed activity. The use of collimation in theairborne system to reduce the field of view could be considered. A moderately dense patternof patches (eg: >25% of the area) approximates a uni<strong>for</strong>m distribution of activity. In thissituation, detection limits <strong>for</strong> a uni<strong>for</strong>m 137 Cs background of 50 Bq kg -1 are increased by asimilar factor to changing from a medium to high natural activity background.Reducing ground clearance would increase full energy peak count rates, by an order ofmagnitude at 5m compared to 15m. Thus surveys at these ground clearances wouldsignificantly increase the significance of full-energy peak counts from sources in comparisonwith the 15m specification. To achieve a detection limit <strong>for</strong> 137 Cs sources at 10cm depth of10 5 Bq in uni<strong>for</strong>m background radiation fields it is estimated that it would be necessary toreduce ground speed to below 5 knots (2 m s -1 ) <strong>and</strong> ground clearance to 5-10m. A dataprocessing methodology that utilises the scattered part of the spectra (>80% of the total countrate from buried sources) might potentially further improve detection efficiency, <strong>and</strong> providean estimate of source burial depth. Detector collimation may allow better discriminationbetween point sources <strong>and</strong> small distributed patches of activity.The analysis here has related to detection of sources in single measurements, or summedconsecutive measurements treated as single measurements. In survey design <strong>and</strong> dataanalysis, observations are combined from multiple survey lines. Methods which utiliseinterpolation across several observations on multiple survey lines have the potential to lowerdetection limits compared to approaches that utilise in<strong>for</strong>mation within single survey lines.However such analysis would be retrospective, which may have implications <strong>for</strong>implementation in source searches.This work has confirmed that airborne methods are capable of providing useful levels ofsensitivity, with survey rates which can not be practically achieved at ground level. Airbornemethods can demonstrate the absence of strong sources within large areas whereanthropogenic background distributions are approximately uni<strong>for</strong>m, <strong>and</strong> identify areas wherepatchy anthropogenic distributions would require further ground based investigations toconfirm the absence of sources. AGS has an important role in identifying where valuableground-based resources should be focussed. It is suggested that practical work be initiated toverify the theoretical detection limits presented here <strong>and</strong> that consideration be given todeveloping the AGS role in future programmes. In addition to validating the sensitivity <strong>and</strong>detection limits demonstrated in this theoretical study, this would provide an opportunity toevaluate the practical limits <strong>for</strong> operating helicopters at low speed <strong>and</strong> ground clearance overpublic beaches while complying with safety <strong>and</strong> regulatory requirements.ii


Contents1. INTRODUCTION ................................................................................................................. 12. MODEL PARAMETERISATION ........................................................................................ 22.1 Background 137 Cs Activity Values ............................................................................... 22.2 Point Source Simulations ............................................................................................. 53. RESULTS .............................................................................................................................. 73.1 Uni<strong>for</strong>m 137 Cs Background Simulations ...................................................................... 73.1.1 Static Measurements .......................................................................................... 73.1.2 Survey Line Profiles ........................................................................................ 133.2 Patches of Enhanced 137 Cs activity ............................................................................ 223.3 Simulation of Recovered Particles ............................................................................. 253.3.1 Simulation of Existing Survey Data ................................................................ 254. DISCUSSION ...................................................................................................................... 304.1 137 Cs backgrounds ...................................................................................................... 304.2 Response to recovered particles ................................................................................. 315. CONCLUSIONS.................................................................................................................. 33Acknowledgements .................................................................................................................. 34References ................................................................................................................................ 35Appendix A: Location <strong>and</strong> Activity Data <strong>for</strong> Recovered Particles .......................................... 36iii


List of FiguresFigure 2.1: Histogram of 137 Cs activity per unit area distribution <strong>for</strong> the coastline between StBees <strong>and</strong> the Duddon Estuary from the March 2000 survey, excluding salt marshes <strong>and</strong> directradiation from the <strong>Sellafield</strong> <strong>and</strong> Drigg sites. ............................................................................ 2Figure 2.2: Stripped 137 Cs count rate determined from June <strong>2010</strong> backpack survey. Theenhanced feature to the south east of the area is an area of vegetated beach. ........................... 4Figure 2.3: Ratio of counts in the 137 Cs window (IW) to counts above this window (AW), <strong>for</strong>data collected by Nuvia <strong>Ltd</strong> from the beach at St Bees between May 2007 <strong>and</strong> October 2008..................................................................................................................................................... 5Figure 2.4: Depth distribution of recovered particles from the beaches in the <strong>Sellafield</strong> area. . 6Figure 3.1: Significance of count rates from superficial 137 Cs sources at 75m. ........................ 8Figure 3.2: Significance of count rates from buried 137 Cs sources at 75m. ............................... 9Figure 3.3: Significance of count rates from superficial 137 Cs sources at 15m. ...................... 10Figure 3.4: Significance of count rates from buried 137 Cs sources at 15m. ............................. <strong>11</strong>Figure 3.5: Significance of count rates from superficial 241 Am sources at 15m...................... 12Figure 3.6: Profile plots showing the significance of measurements on a transect directly oversuperficial 137 Cs sources of 1MBq (black), 10MBq (blue) <strong>and</strong> 50MBq (red) under rapidsurvey conditions, <strong>for</strong> the medium natural background scenario with increasing uni<strong>for</strong>m 137 Csbackground concentrations. ..................................................................................................... 14Figure 3.7: Profile plots showing the significance of measurements <strong>for</strong> a transect 50m fromsuperficial 137 Cs sources of 1MBq (black), 10MBq (blue) <strong>and</strong> 50MBq (red) under rapidsurvey conditions, <strong>for</strong> the medium natural background scenario with increasing uni<strong>for</strong>m 137 Csbackground concentrations. ..................................................................................................... 15Figure 3.8: Profile plots showing the significance of measurements on a transect directly overburied 137 Cs sources of 10MBq (black), 50MBq (blue) <strong>and</strong> 100MBq (red) under rapid surveyconditions, <strong>for</strong> the medium natural background scenario with increasing uni<strong>for</strong>m 137 Csbackground concentrations. ..................................................................................................... 16Figure 3.9: Profile plots showing the significance of measurements <strong>for</strong> a transect 50m fromburied 137 Cs sources of 10MBq (black), 50MBq (blue) <strong>and</strong> 100MBq (red) under rapid surveyconditions, <strong>for</strong> the medium natural background scenario with increasing uni<strong>for</strong>m 137 Csbackground concentrations. ..................................................................................................... 17Figure 3.10: Profile plots showing the significance of measurements <strong>for</strong> a transect directlyover superficial 137 Cs sources of 0.1MBq (black), 0.5MBq (blue) <strong>and</strong> 1.0MBq (red) underdetailed survey conditions, <strong>for</strong> the medium natural background scenario with increasinguni<strong>for</strong>m 137 Cs background concentrations. .............................................................................. 19Figure 3.<strong>11</strong>: Profile plots showing the significance of measurements <strong>for</strong> a transect directlyover buried 137 Cs sources of 0.5MBq (black), 1.0MBq (blue) <strong>and</strong> 2.0MBq (red) underdetailed survey conditions, <strong>for</strong> the medium natural background scenario with increasinguni<strong>for</strong>m 137 Cs background concentrations. .............................................................................. 20Figure 3.12: Profile plots showing the significance of measurements <strong>for</strong> a transect directlyover superficial 241 Am sources of 1.0MBq (black), 5.0MBq (blue) <strong>and</strong> 10.0MBq (red) underdetailed survey conditions, <strong>for</strong> the medium natural background scenario with increasinguni<strong>for</strong>m 137 Cs background concentrations. .............................................................................. 21Figure 3.13: Transects across a 10x10m patch of 137 Cs activity at 50 Bq kg -1 (black), asuperficial 2 MBq 137 Cs source (red) <strong>and</strong> a buried 7 MBq 137 Cs source (blue) at 75m (top) <strong>and</strong>15m (bottom) ground clearance. .............................................................................................. 23Figure 3.14: 137 Cs count rates <strong>for</strong> a transect across a chess-board pattern of 50 Bq kg -<strong>11</strong>0x10m patches at 75m (top) <strong>and</strong> 15m (bottom) ground clearances. ...................................... 24iv


Figure 3.15: 137 Cs activity concentration from the March 2000 coastline survey, <strong>and</strong> residual137 Cs count rates following subtraction of the simulated natural spectra, <strong>for</strong> St Bees. ............ 26Figure 3.16: 137 Cs activity concentration from the March 2000 coastline survey, <strong>and</strong> residual137 Cs count rates following subtraction of the simulated natural spectra, <strong>for</strong> Seascale. .......... 27Figure 3.17: 137 Cs activity concentration from the March 2000 coastline survey, <strong>and</strong> residual137 Cs count rates following subtraction of the simulated natural spectra, <strong>for</strong> Drigg. .............. 28Figure 3.18: Average residual spectra <strong>for</strong> the beaches shown in figures 3.15-3.17. ............... 29List of TablesTable 2.1: Simulated depth of recovered particles ..................................................................... 6Table 3.1: Significance of single 9s measurements <strong>for</strong> transects across superficial 137 Cssources, <strong>for</strong> different 137 Cs background concentrations on the medium natural backgroundscenario, under rapid survey conditions................................................................................... 13Table 3.2: Significance of single 9s measurements centred on different sources in different137 Cs background concentrations <strong>for</strong> detailed survey parameters. ........................................... 18Table 4.1: Predicted detection limits <strong>for</strong> 137 Cs <strong>and</strong> 241 Am <strong>for</strong> the medium natural backgroundcondition <strong>and</strong> 50Bq kg -1 137 Cs uni<strong>for</strong>m background. ............................................................... 31Table 4.2: 137 Cs activity on three beaches determined from the March 2000 airborne survey,<strong>and</strong> the total activity of particles recovered from these beaches. ............................................ 32Table A.1: Location <strong>and</strong> activities <strong>for</strong> particles recovered at Drigg ........................................ 36Table A.2: Location <strong>and</strong> activities <strong>for</strong> particles recovered at Seascale ................................... 37Table A.3: Location <strong>and</strong> activities <strong>for</strong> particles recovered at <strong>Sellafield</strong> .................................. 57Table A.4: Location <strong>and</strong> activities <strong>for</strong> particles recovered at Braystones ............................... 61Table A.5: Location <strong>and</strong> activities <strong>for</strong> particles recovered at St Bees ..................................... 63Table A.6: Location <strong>and</strong> activities <strong>for</strong> particles recovered north of St Bees ........................... 64v


1. INTRODUCTIONRecently, a number of small radioactive particles have been recovered from the beaches near<strong>Sellafield</strong>. A monitoring <strong>and</strong> recovery programme has been established using ground basedequipment, following the specification <strong>for</strong> the programme at Dounreay established by SEPA.Specifically, the ground based survey specification is to be able to locate 10 5 Bq activitysources at 10cm burial depths. The ground based approach is based on a slow movingvehicle, <strong>and</strong> as a result the area coverage in a single tide cycle is limited. This study aims tomodel the response of typical airborne systems to radioactive sources to quantify the potential<strong>for</strong> such systems to conduct much more rapid <strong>and</strong> extensive surveys of the beaches tocomplement the ground based approaches already in use.Airborne Gamma Spectrometry (AGS) is an established technique <strong>for</strong> rapidly measuring thedistribution of radionuclides in the environment. It is well suited to both wide area surveys<strong>and</strong> detailed surveys of smaller areas, especially where the speed of the method is importantin recording dynamic environments or where access from the ground is impracticable orpotentially hazardous. The method can easily map the distribution of activity on <strong>for</strong>eshoreswithin a single tidal cycle, including both beach areas easily accessible to ground basedmonitoring <strong>and</strong> boulder fields where access is more restricted. Within single tide cycles, adetailed airborne survey can there<strong>for</strong>e be used to locate the zones within wide coastal areaswhere ground based confirmation <strong>and</strong> recovery operations would be most effectivelydirected. Conversely it can demonstrate the absence of the most hazardous radioactiveparticles above detection limits in areas with a potential <strong>for</strong> receiving such materials frommarine pathways following storms or high tide events. Used together with appropriate groundbased support it could increase the effectiveness, efficiency <strong>and</strong> levels of public protection ofprogrammed work targeting the coastal zones near nuclear sites.The work reported here uses numerical modelling approaches to determine detection limits<strong>for</strong> 137 Cs <strong>and</strong> 241 Am point sources <strong>for</strong> airborne systems in environments containingbackground levels of dispersed 137 Cs activity, complementing an earlier stage of study whichinvestigated detection limits in a range of natural backgrounds (S<strong>and</strong>erson & Cresswell<strong>2010</strong>). In addition, the radiation signals <strong>for</strong> the particulate finds recovered to date will besimulated <strong>for</strong> airborne survey systems. This simulated data set will be compared with existingAGS data to identify whether signals seen surveys in 1990 <strong>and</strong> 2000 (S<strong>and</strong>erson et.al. 1990,2000) are consistent with particulate finds subsequently recovered.1


2. MODEL PARAMETERISATIONThe approach taken in this study to investigate the impact on detection limits of anybackground 137 Cs activity is similar to that used in the earlier phase of this study (S<strong>and</strong>erson& Cresswell <strong>2010</strong>). Data from surveys of the beaches in the vicinity of <strong>Sellafield</strong> have beenexamined to attempt to determine typical distributions of 137 Cs activity, which have then beenused to generate 137 Cs background spectra at ground clearances of 15m <strong>and</strong> 75m. The earlierreport describes the rationale <strong>for</strong> the selection of the beach material characteristics used in thesimulations <strong>and</strong> the selection of the code. The same parameters <strong>for</strong> the beach material areused in this work.In the earlier work, three natural background levels representative of the environment on thebeaches near <strong>Sellafield</strong> were used. The work presented here will describe the impact ondetection limits of 137 Cs backgrounds relative to the medium level background from thatwork.2.1 Background 137 Cs Activity Values137 Cs backgrounds that are representative of the range of the beaches in the vicinity of the<strong>Sellafield</strong> site where particulate activity may be present have been selected by examination ofsurvey data from the beaches. The data used were collected by SUERC using airbornesurveys in 1990 <strong>and</strong> 2000 (S<strong>and</strong>erson et.al. 1990, 2000), backpack systems comprising 3x3”NaI(Tl) detectors with digital spectral processing <strong>and</strong> integrated GPS (Cresswell et.al. <strong>2010</strong>)<strong>and</strong> Nuvia <strong>Ltd</strong> using the Groundhog systems.The airborne surveys conducted by SUERC show 137 Cs activity along the beaches of WestCumbria. Figure 2.1 shows the frequency distribution of 137 Cs activity per unit area <strong>for</strong> thesection of coast between St Bees <strong>and</strong> the Duddon Estuary, excluding the salt marshenvironments <strong>and</strong> sections where the radiation signal included direct shine from the <strong>Sellafield</strong>site <strong>and</strong> the Drigg waste repository. The mean activity per unit area determined in the March2000 survey was 17.4 kBq m -2 , with a total 137 Cs activity of 1.3TBq.2520Frequency (%)1510500 10 20 30 40 50137 Cs kBq m -2Figure 2.1: Histogram of 137 Cs activity per unit area distribution <strong>for</strong> the coastline between StBees <strong>and</strong> the Duddon Estuary from the March 2000 survey, excluding salt marshes <strong>and</strong> directradiation from the <strong>Sellafield</strong> <strong>and</strong> Drigg sites.2


In June <strong>2010</strong>, a brief exploratory investigation of a section of beach between St Bees <strong>and</strong>Nethertown was conducted by SUERC using a pair of 3x3” NaI(Tl) spectrometers (Cresswellet.al. <strong>2010</strong>). The survey targeted an area where anomalous 137 Cs activity had been noted on apebble beach in March 2000 during an airborne survey of West Cumbria (S<strong>and</strong>erson et.al.2000). The count rate <strong>for</strong> a 137 Cs window was determined by stripping interferences from 40 K,238 U series <strong>and</strong> 232 Tl series isotopes, <strong>and</strong> is shown in figure 2.2. It can be seen that there arepatches of enhanced 137 Cs activity distributed across the beach, each patch having dimensionsof ~5m. Soil samples were collected from several of these patches <strong>and</strong> analysed in thelaboratory at SUERC, giving activity concentrations of ~50Bq kg -1 (dry weight). A patch ofvegetated s<strong>and</strong> had higher activity concentrations of ~100 Bq kg -1 (dry weight).Data from the Groundhog surveys conducted by Nuvia <strong>Ltd</strong> has been made available toSUERC <strong>for</strong> this study. This data consists of counts <strong>for</strong> 1s measurements in each of fiveNaI(Tl) detectors within three windows; a 137 Cs window (531-760 keV) <strong>and</strong> counts above<strong>and</strong> below this window. Full spectral data was not available. To yield an estimate of 137 Csdistribution the average count rate <strong>for</strong> the five detectors in each window was determined <strong>for</strong>each 1s measurement <strong>and</strong> the ratio of the count rate within the 137 Cs window to the count rateabove this window was determined. Assuming no significant variations in the relativeconcentrations of the natural series activity on the beach, variations in this ratio will reflectvariations in 137 Cs distribution. Figure 2.3 shows this ratio plotted <strong>for</strong> surveys of the beach atSt Bees in May 2007, September 2007, April 2008 <strong>and</strong> October 2008, excludingmeasurements that included particulate finds. It can be seen that there are areas where theratio is enhanced relative to the general area, with the enhancements comprising individualpatches of ~10m dimension <strong>and</strong> areas where there are several such patches in closeproximity. Some of the patches appear to cluster around approximately linear b<strong>and</strong>s. Thelarger areas of large numbers of patches of enhanced activity would approximate to uni<strong>for</strong>mdistributions within the field of view of an airborne detector. Estimates of the activityconcentrations these patches of enhanced ratio might represent have not been made. Gammaspectrometry measurements of s<strong>and</strong>s from the west Cumbrian beaches over many yearsconducted by <strong>Sellafield</strong> <strong>Ltd</strong> as part of wider environmental monitoring programmes haveshown 137 Cs concentrations of typically ~50 Bq kg -1 (Parker <strong>2010</strong>, Desmond 20<strong>11</strong>), with adownward activity trend.The closely packed groups of enhanced activity clusters approximate to a laterally uni<strong>for</strong>mdistribution. Thus, a set of backgrounds consisting of laterally uni<strong>for</strong>m 137 Cs activity wasdefined corresponding to the detector field of view 100% filled with patches, 50% filled <strong>and</strong>25% filled. These would have uni<strong>for</strong>m depth distributions of 137 Cs activity concentrations of50, 25 <strong>and</strong> 12.5 Bq kg -1 respectively. It is noted that a uni<strong>for</strong>m 50 Bq kg -1 distribution wouldcorrespond to a 24 kBq m -2 activity per unit area (assuming 1600 kg m -3 density). The datafrom the coastal survey conducted in March 2000 (S<strong>and</strong>erson et.al. 2000) showed somesections of beach with elevated 137 Cs activity concentrations to a maximum of ~25 kBq m -2which is consistent with the maximum concentration <strong>for</strong> the uni<strong>for</strong>m activity distributionsthat will be considered here.An additional set of simulations of the 137 Cs background have been conducted <strong>for</strong> singleclusters of enhanced activity in an environment otherwise void of 137 Cs activity, <strong>and</strong> arepresented in this report. These are compared with the simulations of point sources conductedin the early part of this work, to determine the extent to which these patches might bemisidentified as particulates by an airborne survey.3


Figure 2.2: Stripped 137 Cs count rate determined from June <strong>2010</strong> backpack survey. Theenhanced feature to the south east of the area is an area of vegetated beach.4


Figure 2.3: Ratio of counts in the 137 Cs window (IW) to counts above this window (AW), <strong>for</strong>data collected by Nuvia <strong>Ltd</strong> from the beach at St Bees between May 2007 <strong>and</strong> October 2008.2.2 Point Source SimulationsData specifying the date, location, depth <strong>and</strong> activity of all finds to date was supplied <strong>for</strong> usein this project. These data are tabulated in Appendix A. The distribution of the depths atwhich the finds have been recovered is shown in Figure 2.4. It can be seen that there are veryfew finds recovered from below 20cm depth, with the majority being recovered from the top10cm of the beach. Simulations of sources at depths that reasonably approximate therecovered finds are needed to simulate the response of the airborne detector to such sources.The first stage of this work simulated sources on the surface <strong>and</strong> at 10cm depth. In this stageof the work additional simulated spectra have also been produced <strong>for</strong> depths of 5cm, 15cm<strong>and</strong> 20cm, with the simulations <strong>for</strong> each range of recovered depth as given in Table 2.1.5


200150Number of finds1005000 5 10 15 20 25 30Depth (cm)Figure 2.4: Depth distribution of recovered particles from the beaches in the <strong>Sellafield</strong> area.Depth Range Simulated Depth Depth Range Simulated Depth0-2.5 cm 0 cm 12.5-17.5 cm 15 cm2.5-7.5 cm 5 cm >17.5 cm 20 cm7.5-12.5 cm 10 cmTable 2.1: Simulated depth of recovered particles6


3. RESULTS3.1 Uni<strong>for</strong>m 137 Cs Background Simulations3.1.1 Static MeasurementsThe simulated source spectra <strong>for</strong> superficial 241 Am <strong>and</strong> 137 Cs, <strong>and</strong> 137 Cs at 10cm depth, <strong>for</strong> thedetector immediately above the source at 15m <strong>and</strong> 75m ground clearances generated in thefirst stage of this work have been used to model the effect of varying 137 Cs background, in ananalogous manner to the first stage work. The full-energy peak count rates <strong>for</strong> differentsource activities <strong>and</strong> integration times were determined, <strong>and</strong> the significance of these definedas the ratio of count rate to uncertainty calculated. The background count rate uncertainty istaken <strong>for</strong> a background measurement of equal duration as the measurement over the source,although a time averaged background would have reduced uncertainty in a uni<strong>for</strong>mbackground environment.Figures 3.1-3.5 show the significance of the full-energy peak count rates <strong>for</strong> the 137 Cs <strong>and</strong>241 Am sources as a function of integration time, <strong>for</strong> the medium natural background scenarioin the first stage of the work <strong>and</strong> <strong>for</strong> that background enhanced by uni<strong>for</strong>m 137 Cs backgroundactivities of 12.5, 25 <strong>and</strong> 50 Bq kg -1 . The dashed lines indicate a significance of 2,corresponding to a net signal with twice the uncertainty <strong>for</strong> single measurements.It can be seen that as the 137 Cs background activity increases, the significance ofmeasurements from sources in that environment decreases as would be expected. Thereduction in significance from no background to the 50 Bq kg -1 background is approximately1 in all cases, which is similar to the reduction in significance observed in the first stage ofthis work <strong>for</strong> a change from the medium to high natural background.7


1000 Bq kg -1SignificanceSignificanceSignificanceSignificance1010.10.0<strong>11</strong>010.10.0<strong>11</strong>010.10.0<strong>11</strong>010.<strong>11</strong>2.5 Bq kg -140 MBq20 MBq10 MBq5 MBq40 MBq20 MBq10 MBq25 Bq kg -15 MBq40 MBq20 MBq10 MBq5 MBq50 Bq kg -140 MBq20 MBq10 MBq5 MBq0.010 5 10 15 20 25 30Integration time (s)Figure 3.1: Significance of count rates from superficial 137 Cs sources at 75m.8


SignificanceSignificanceSignificance1010.10.0<strong>11</strong>0.10.0<strong>11</strong>0.10.010 Bq kg -<strong>11</strong>2.5 Bq kg -120 MBq10 MBq5 MBq1 MBq20 MBq10 MBq5 MBq25 Bq kg -<strong>11</strong> MBq20 MBq10 MBq5 MBq1 MBq50 Bq kg -1Significance10.120 MBq10 MBq5 MBq1 MBq0.010 5 10 15 20 25 30Integration time (s)Figure 3.2: Significance of count rates from buried 137 Cs sources at 75m.9


SignificanceSignificanceSignificanceSignificance1010.10.0<strong>11</strong>0.10.0<strong>11</strong>0.10.0<strong>11</strong>0.10 Bq kg -<strong>11</strong>.0 MBq0.5 MBq0.2 MBq0.1 MBq12.5 Bq kg -<strong>11</strong>.0 MBq0.5 MBq0.2 MBq0.1 MBq25 Bq kg -1 1.0 MBq0.5 MBq0.2 MBq0.1 MBq50 Bq kg -1 1.0 MBq0.5 MBq0.2 MBq0.1 MBq0.010 5 10 15 20 25 30Integration time (s)Figure 3.3: Significance of count rates from superficial 137 Cs sources at 15m.10


100 Bq kg -14.0 MBqSignificanceSignificanceSignificanceSignificance10.<strong>11</strong>0.<strong>11</strong>0.<strong>11</strong>2.0 MBq1.0 MBq0.5 MBq12.5 Bq kg -14.0 MBq2.0 MBq1.0 MBq0.5 MBq25 Bq kg -1 4.0 MBq2.0 MBq1.0 MBq0.5 MBq50 Bq kg -1 4.0 MBq2.0 MBq1.0 MBq0.5 MBq0.10 5 10 15 20 25 30Integration time (s)Figure 3.4: Significance of count rates from buried 137 Cs sources at 15m.<strong>11</strong>


0 Bq kg -1SignificanceSignificanceSignificance1010.<strong>11</strong>010.<strong>11</strong>010.18 MBq4 MBq2 MBq1 MBq12.5 Bq kg -18 MBq4 MBq2 MBq1 MBq25 Bq kg -1 8 MBq4 MBq2 MBq1 MBq50 Bq kg -1Significance1018 MBq4 MBq2 MBq1 MBq0.10 5 10 15 20 25 30Integration time (s)Figure 3.5: Significance of count rates from superficial 241 Am sources at 15m.12


3.1.2 Survey Line Profiles3.1.2.1 Rapid Large Area SurveySurveys conducted at 200-250ft (60-75m) ground clearance <strong>and</strong> approximately 70 knots (130kph) ground speed are capable of rapidly surveying large areas. For mapping dispersedactivity it has been shown that line spacings of 250m are usually adequate to locate mostfeatures, <strong>and</strong> larger line spacings would be acceptable to allow larger areas to be surveyed ina given time (S<strong>and</strong>erson et.al. 2001). For rapid survey of large areas <strong>for</strong> point sources, acloser line spacing would likely be required. For this work, such a survey is defined as 250ft(75m) ground clearance, 70 knots (30 m s -1 ) ground speed <strong>and</strong> 100m line spacing.Figures 3.6-3.9 show the significance of transects directly over superficial <strong>and</strong> buried 137 Cssources, <strong>and</strong> at 50m offset distances, <strong>for</strong> the modelled uni<strong>for</strong>m 137 Cs backgrounds. Thetransects are <strong>for</strong> individual 1s measurements, <strong>and</strong> correspond to the similar figures <strong>for</strong> naturalbackground in the earlier work.It had been noted in relation to natural backgrounds that increased integration time reducesthe measurement uncertainty, with an integration time that approximates to the time taken tocross the dimensions of the radiation field from the source being optimal. For the 75m groundclearance survey, 90% of the signal is observed within 120m of the source giving an optimalintegration time of 8s at 70 knots. Table 3.1 gives the significance <strong>for</strong> 9s measurements oversuperficial 137 Cs sources of 1, 10 <strong>and</strong> 50 MBq in the medium natural activity background, <strong>and</strong>uni<strong>for</strong>m 137 Cs backgrounds of 12.5, 25 <strong>and</strong> 50 Bq kg -1 . It can be seen that <strong>for</strong> a superficial10MBq 137 Cs source, the significance of a single 9s measurement exceeds 2.5, thus it can beconcluded that <strong>for</strong> rapid surveys at 200-250ft <strong>and</strong> 70 knot ground speed should readilyobserve 137 Cs sources of 5-10MBq at or near the surface.Source Activity 0 Bq kg -1 12.5 Bq kg -1 25 Bq kg -1 50 Bq kg -<strong>11</strong>MBq 0.55 0.47 0.42 0.355MBq 2.03 1.85 1.71 1.5010MBq 3.24 3.04 2.88 2.6250MBq 8.17 8.04 7.91 7.68Table 3.1: Significance of single 9s measurements <strong>for</strong> transects across superficial137 Cs sources, <strong>for</strong> different 137 Cs background concentrations on the mediumnatural background scenario, under rapid survey conditions.13


40 Bq kg -13Significance21012.5 Bq kg -13Significance21025 Bq kg -13Significance21050 Bq kg -13Significance210-300 -200 -100 0 100 200 300Distance along transect (m)Figure 3.6: Profile plots showing the significance of measurements on a transect directlyover superficial 137 Cs sources of 1MBq (black), 10MBq (blue) <strong>and</strong> 50MBq (red) under rapidsurvey conditions, <strong>for</strong> the medium natural background scenario with increasing uni<strong>for</strong>m 137 Csbackground concentrations.14


40 Bq kg -13Significance21012.5 Bq kg -13Significance21025 Bq kg -13Significance21050 Bq kg -13Significance210-200 -150 -100 -50 0 50 100 150 200Distance along transect (m)Figure 3.7: Profile plots showing the significance of measurements <strong>for</strong> a transect 50m fromsuperficial 137 Cs sources of 1MBq (black), 10MBq (blue) <strong>and</strong> 50MBq (red) under rapidsurvey conditions, <strong>for</strong> the medium natural background scenario with increasing uni<strong>for</strong>m 137 Csbackground concentrations.15


40 Bq kg -13Significance21012.5 Bq kg -13Significance21025 Bq kg -13Significance21050 Bq kg -13Significance210-300 -200 -100 0 100 200 300Distance along transect (m)Figure 3.8: Profile plots showing the significance of measurements on a transect directlyover buried 137 Cs sources of 10MBq (black), 50MBq (blue) <strong>and</strong> 100MBq (red) under rapidsurvey conditions, <strong>for</strong> the medium natural background scenario with increasing uni<strong>for</strong>m 137 Csbackground concentrations.16


40 Bq kg -13Significance21012.5 Bq kg -13Significance21025 Bq kg -13Significance21050 Bq kg -13Significance210-200 -150 -100 -50 0 50 100 150 200Distance along transect (m)Figure 3.9: Profile plots showing the significance of measurements <strong>for</strong> a transect 50m fromburied 137 Cs sources of 10MBq (black), 50MBq (blue) <strong>and</strong> 100MBq (red) under rapid surveyconditions, <strong>for</strong> the medium natural background scenario with increasing uni<strong>for</strong>m 137 Csbackground concentrations.17


3.1.2.2 Detailed Small Area SurveyFor smaller areas, more detailed surveys are possible. These would be conducted at lowerground clearances where possible, <strong>and</strong> reduced speed <strong>and</strong> line spacing. For this work, asurvey speed of 15 knots (5 m s -1 ) <strong>and</strong> a line spacing of 20m has been used as detailed surveyparameters. This corresponds to the survey height <strong>and</strong> speed <strong>for</strong> the detailed beach surveyconducted in March 2000 (S<strong>and</strong>erson et.al. 2000). This would be sufficient to cover a2kmx200m area of beach in a one hour survey.Figures 3.10-3.12 show the significance of transects across superficial <strong>and</strong> buried 137 Cs <strong>and</strong>superficial 241 Am sources <strong>for</strong> 1s measurements at 15m height. As noted, increased integrationtime reduces the measurement uncertainty with optimal integration time corresponding to thetime taken to cross a feature. At 15m ground clearance, 90% of the observed signal isobserved within 25m of the source, giving an optimal integration time of 10s at 15 knots.Table 3.2 gives the significance of 9s measurements <strong>for</strong> the different source activities <strong>and</strong>depths <strong>and</strong> background conditions <strong>for</strong> figures 3.10-3.12. It can be seen that <strong>for</strong> these detailedsurvey parameters, the significance of single 9s measurements would exceed 2 <strong>for</strong> superficialsources of 200kBq ( 137 Cs) <strong>and</strong> 1.2MBq ( 241 Am) <strong>and</strong> buried 1.0MBq 137 Cs sources.The earlier work had shown that reducing ground clearance increases peak count rate, with137 Cs peak count rates at 10m twice those at 15m <strong>and</strong> at 5m the count rate increases by afactor of 10. Thus, detection limits <strong>for</strong> very low surveys conducted at even slower speedswould be lower than these.SourceDepth137 Csbackground137 Cs0.1 MBq137 Cs0.2 MBq137 Cs0.5 MBq137 Cs1.0 MBq137 Cs2.0 MBqSurface 0 Bq kg -1 1.49 2.64 5.14 8.0012.5 Bq kg -1 1.36 2.45 4.92 7.7825 Bq kg -1 1.26 2.30 4.72 7.5850 Bq kg -1 1.<strong>11</strong> 2.07 4.38 7.22Buried 0 Bq kg -1 0.40 0.77 1.73 3.03 4.9912.5 Bq kg -1 0.36 0.69 1.59 2.83 4.7625 Bq kg -1 0.33 0.64 1.48 2.67 4.5750 Bq kg -1 0.28 0.55 1.31 2.41 4.23241 Am241 Am241 Am241 Am10 MBq1 MBq 1.2 MBq 5 MBqSurface 0 Bq kg -1 1.95 2.31 7.78 12.9<strong>11</strong>2.5 Bq kg -1 1.89 2.24 7.64 12.7525 Bq kg -1 1.84 2.18 7.50 12.5950 Bq kg -1 1.75 2.08 7.25 12.28Table 3.2: Significance of single 9s measurements centred on different sources indifferent 137 Cs background concentrations <strong>for</strong> detailed survey parameters.18


40 Bq kg -13Significance21012.5 Bq kg -13Significance21025 Bq kg -13Significance21050 Bq kg -13Significance210-80 -60 -40 -20 0 20 40 60 80Distance along transect (m)Figure 3.10: Profile plots showing the significance of measurements <strong>for</strong> a transect directlyover superficial 137 Cs sources of 0.1MBq (black), 0.5MBq (blue) <strong>and</strong> 1.0MBq (red) underdetailed survey conditions, <strong>for</strong> the medium natural background scenario with increasinguni<strong>for</strong>m 137 Cs background concentrations.19


40 Bq kg -13Significance21012.5 Bq kg -13Significance21025 Bq kg -13Significance21050 Bq kg -13Significance210-80 -60 -40 -20 0 20 40 60 80Distance along transect (m)Figure 3.<strong>11</strong>: Profile plots showing the significance of measurements <strong>for</strong> a transect directlyover buried 137 Cs sources of 0.5MBq (black), 1.0MBq (blue) <strong>and</strong> 2.0MBq (red) underdetailed survey conditions, <strong>for</strong> the medium natural background scenario with increasinguni<strong>for</strong>m 137 Cs background concentrations.20


40 Bq kg -13Significance21012.5 Bq kg -13Significance21025 Bq kg -13Significance21050 Bq kg -13Significance210-80 -60 -40 -20 0 20 40 60 80Distance along transect (m)Figure 3.12: Profile plots showing the significance of measurements <strong>for</strong> a transect directlyover superficial 241 Am sources of 1.0MBq (black), 5.0MBq (blue) <strong>and</strong> 10.0MBq (red) underdetailed survey conditions, <strong>for</strong> the medium natural background scenario with increasinguni<strong>for</strong>m 137 Cs background concentrations.21


3.2 Patches of Enhanced 137 Cs activityAs has been noted, the ground surveys conducted by Nuvia <strong>Ltd</strong> <strong>and</strong> SUERC observed smallpatches with enhanced 137 Cs activity of dimensions


0.80.6Count Rate0.40.20.0-200 -100 0 100 20035Distance (m)3025Count Rate20151050-100 -50 0 50 100Distance (m)Figure 3.13: Transects across a 10x10m patch of 137 Cs activity at 50 Bq kg -1 (black), asuperficial 2 MBq 137 Cs source (red) <strong>and</strong> a buried 7 MBq 137 Cs source (blue) at 75m (top) <strong>and</strong>15m (bottom) ground clearance.23


3020Stripped cps100-100 200 400 600 800 1000 1200Distance (m)10080Stripped cps6040200-200 200 400 600 800 1000 1200Distance (m)Figure 3.14: 137 Cs count rates <strong>for</strong> a transect across a chess-board pattern of 50 Bq kg -<strong>11</strong>0x10m patches at 75m (top) <strong>and</strong> 15m (bottom) ground clearances.24


3.3 Simulation of Recovered Particles3.3.1 Simulation of Existing Survey DataData from existing surveys of the Cumbrian coastline in 1990 <strong>and</strong> 2000 (S<strong>and</strong>erson et.al.1990, 2000) have been used to assess the 137 Cs contribution to these data, <strong>and</strong> determine howmuch of that contribution can be attributed to the particles recovered from the beaches. Theconcentrations of naturally occurring 238 U, 232 Th <strong>and</strong> 40 K were determined from the surveydata, <strong>and</strong> a simulated natural background determined <strong>for</strong> each measurement location byscaling the unit concentration background spectra.The position, depth <strong>and</strong> activity of each source recovered have been tabulated. Each spectrumin the simulated survey has been divided into 500ms sections, <strong>and</strong> the midpoint of eachsection determined. For any sources within a range of 220m, the spectrum this would producein a 500ms measurement is determined by scaling the simulated spectrum <strong>for</strong> therepresentative depth (from table 2.1) at that offset scaled by the source activity. The sourcespectra across the entire measurement are then summed to produce 137 Cs spectra due to thepoint sources recovered <strong>for</strong> the simulated survey.The simulated natural <strong>and</strong> 137 Cs spectra are then combined to produce a survey data set thatwould be expected if the recovered finds are the only source of 137 Cs in the environment. Inaddition, subtracting the simulated natural spectra from the measured spectra leave a residualspectrum containing other spectral components not accounted <strong>for</strong> by the natural seriessimulation.For the 75m simulated data set, all of the particles recovered from the beaches are below thedetection limits of the system. And, even the cumulative signal from all the sources wouldnot generate a signal in the detector. It is noted that the March 2000 coastline survey wasconducted at a ground clearance of typically 40-50m. The simulated data <strong>for</strong> 15m groundclearance were also used to determine whether a lower ground clearance, at the speed <strong>and</strong>line spacing of the coastline survey, would result in a measurable signal from the sourcesrecovered. This analysis also produced no signal in the simulated spectra from the sources.Figures 3.15-3.17 show the count rates in the 137 Cs window of the residual spectrum, <strong>for</strong>medby subtracting the simulated natural spectra from the measurements, <strong>for</strong> the beaches at StBees, Seascale <strong>and</strong> Drigg. The measured data <strong>for</strong> these are taken from the March 2000 surveyin the DEFRA study, <strong>and</strong> the 137 Cs activity per unit area determined in 2000 are also shownalong with the locations of the particles recovered from these beaches. The average residualspectra <strong>for</strong> these beaches, clearly showing the 662keV peak from 137 Cs, are shown in figure3.18. Clearly, these beach environments contain 137 Cs activity, but that the particles recoveredto date do not appear to contribute significantly to the observed spectra.25


Figure 3.15: 137 Cs activity concentration from the March 2000 coastline survey, <strong>and</strong> residual137 Cs count rates following subtraction of the simulated natural spectra, <strong>for</strong> St Bees.26


Figure 3.16: 137 Cs activity concentration from the March 2000 coastline survey, <strong>and</strong> residual137 Cs count rates following subtraction of the simulated natural spectra, <strong>for</strong> Seascale.27


Figure 3.17: 137 Cs activity concentration from the March 2000 coastline survey, <strong>and</strong> residual137 Cs count rates following subtraction of the simulated natural spectra, <strong>for</strong> Drigg.28


40St Bees30Residual cps<strong>2010</strong>040Seascale30Residual cps<strong>2010</strong>03530Drigg25Residual cps20151050-50 500 1000 1500 2000 2500 3000Energy (keV)Figure 3.18: Average residual spectra <strong>for</strong> the beaches shown in figures 3.15-3.17.29


4. DISCUSSIONThe work reported here consists of two aspects related to airborne survey detection ofradioactive particles on the beaches around <strong>Sellafield</strong>, as a continuation of an earlier phase ofwork (S<strong>and</strong>erson & Cresswell <strong>2010</strong>). The earlier work used Monte Carlo simulationapproaches to determine detection limits <strong>for</strong> different survey parameters in natural radiationenvironments typical of the West Cumbrian coastline. The work reported here presentsassessments of the impact of dispersed 137 Cs backgrounds on detection limits, <strong>and</strong> theresponse to the particles already recovered from the beaches.4.1 137 Cs backgroundsPrevious airborne <strong>and</strong> ground based surveys have demonstrated that there are, in severalplaces, background levels of 137 Cs along the coastline of West Cumbria. On estuarine saltmarshes, where fine silt particles which readily sorb 137 Cs accumulate these backgroundlevels are very high. On s<strong>and</strong> <strong>and</strong> gravel beaches it is not expected that the 137 Cs containingsilts would accumulate, <strong>and</strong> background levels here are much lower. In some locations, inparticular in the vicinity of the <strong>Sellafield</strong> <strong>and</strong> Drigg sites, radiation originating from areasbehind the beach is a significant contribution to the 137 Cs background observed from anairborne survey.Detailed ground based surveys of the beaches of West Cumbria have shown that 137 Cs hasaccumulated in patches of several metre dimensions, <strong>and</strong> samples from these have typicallyshown activity concentrations of up to 50 Bq kg -1 . The <strong>for</strong>m of the 137 Cs contamination isunknown, as is the depth profile of these patches of activity. For the purpose of this study, thedepth profile was assumed to be uni<strong>for</strong>m to 30cm. The impact on detection limits <strong>for</strong>individual patches of activity with concentrations of 50 Bq kg -1 , <strong>and</strong> areas where several suchpatches are present, have been determined along with uni<strong>for</strong>m activity distributions.For activity distributions with uni<strong>for</strong>m concentrations over areas that exceed 3-4 times thefield of view of the detector, <strong>and</strong> high density of patches of activity over similar areas, thelimits of detection <strong>for</strong> 137 Cs particles is only slightly increased by approximately the sameamount as observed in the previous phase of work with the change from a medium to highnatural background. The significance, defined as the ratio of net counts to the uncertainty, ofmeasurements over sources of different strengths <strong>and</strong> distributions have been calculated.Interpolation from these calculated values allows detection limits based on a significance ofeither 2 or 3 to be determined. This has been done <strong>for</strong> three survey parameters; a “rapid”survey at 75m ground clearance <strong>and</strong> 75 knots, a “low <strong>and</strong> slow” survey at 15m groundclearance <strong>and</strong> 15 knots, <strong>and</strong> a very slow survey at 15m <strong>and</strong> 4 knots. These are given in Table4.1 <strong>for</strong> the medium natural background <strong>and</strong> the highest 137 Cs background considered here.The earlier work noted that reducing the ground clearance below 15m would significantlyincrease full energy peak count rates, with a corresponding reduction in detection limits,although the full simulation of the spectra <strong>for</strong> these heights have not been conducted. Thesedetection limits assume a data analysis algorithm that can determine trends in the radiationsignal over time, such as the background change alarm criteria based on predicted signalsused by Nuvia or the filtered differential analysis approach (Cresswell & S<strong>and</strong>erson 2009), orspatially using multiple measurements from different survey lines.For individual patches of activity of dimensions simulated here, the radiation observed from alow flying aircraft is indistinguishable from a single particle of similar total activity near the30


surface. This is a direct consequence of the relatively large field of view of the airbornesystem compared to the dimensions of the patch. Ground based approaches, with significantlysmaller fields of view <strong>for</strong> the detectors, are better able to distinguish signals from extendedpatches of background activity with these dimensions <strong>and</strong> discrete particles, although asimilar ambiguity between discrete sources <strong>and</strong> dispersed activity would still exist <strong>for</strong> smallerpatches. The use of collimated detectors or self-collimated detector arrays in airborne surveycould be considered to improve the ability of such systems to identify discrete particles inenvironments with patches of enhanced activity.With several patches of activity in a given area, an intermediate situation exists where <strong>for</strong> lowdensities of patches the problems of distinguishing between a patch of activity <strong>and</strong> a sourcedominates, <strong>and</strong> at higher densities of patches the environment approaches one where the 137 Csbackground is uni<strong>for</strong>m.SourceSuperficial137 CsBuried137 CsSuperficial241 Am137 CsBackgroundDetection Limit (MBq)Rapid Survey Low <strong>and</strong> Slow 4 knots3σ 2σ 3σ 2σ 3σ 2σ0 Bq kg -1 9 5 0.23 0.14 0.050 0.03050 Bq kg -1 10 6 0.28 0.17 0.065 0.0370 Bq kg -1 35 20 1.00 0.60 0.22 0.1450 Bq kg -1 39 23 1.20 0.75 0.29 0.170 Bq kg -1 n/d n/d 1.5 1.0 0.35 0.2250 Bq kg -1 n/d n/d 2.0 1.3 0.45 0.30Table 4.1: Predicted detection limits <strong>for</strong> 137 Cs <strong>and</strong> 241 Am <strong>for</strong> the medium naturalbackground condition <strong>and</strong> 50Bq kg -1 137 Cs uni<strong>for</strong>m background.4.2 Response to recovered particlesThe March 2000 coastline survey flight has been recreated <strong>for</strong> the section between St Bees<strong>and</strong> Duddon, by generating natural series spectra from the simulations conducted in the firstphase of this work scaled by the measured activity concentrations <strong>and</strong> simulated spectra <strong>for</strong>the sources recovered from the beaches. For both 75m <strong>and</strong> 15m ground clearance data alongthe flight lines of the March 2000 survey, the recovered sources contribute no counts to thespectra. The recovered particles are all below detection limits <strong>for</strong> the 75m survey, <strong>and</strong> eventhe cumulative spectrum from several sources is below detection limit. A few (3) of therecovered sources have activities above 200kBq <strong>and</strong> were recovered from the top 10cm of thebeach. These particles were all recovered from the <strong>Sellafield</strong> <strong>for</strong>eshore. These should bedetectable using a slow survey at 15knots or less <strong>and</strong> 15m ground clearance, especially withclose linespacing. A few more (2-3) may have been detectable under such detailed surveyconditions. The survey flights in March 2000 were too fast, too high <strong>and</strong> too far apart toobserve them.Residual spectra have been produced by subtracting the simulated natural spectra from themeasured spectra <strong>for</strong> the March 2000 survey. The count rates within a window around the137 Cs peak in these spectra have been mapped <strong>for</strong> sections of beach at St Bees, Seascale <strong>and</strong>Drigg. These show distributions that correspond reasonably well to the 137 Cs activity per unitarea determined in March 2000, although there are some differences in the spatial31


distribution. There appears to be no obvious strong correlation between the areas of enhanced137 Cs signal <strong>and</strong> the locations where particles were recovered.The March 2000 survey data have also been regridded to allow inventory analysis <strong>for</strong> thebeaches along the West Cumbrian coasts, following the procedure developed in the DETRled work (S<strong>and</strong>erson et.al. 2001, 2007). Table 4.2 lists the total 137 Cs activity determinedfrom the airborne survey data <strong>for</strong> the beaches at St Bees, Seascale <strong>and</strong> Drigg, along with thetotal activity <strong>for</strong> the particles recovered from those beaches. For St Bees <strong>and</strong> Seascale, theNuvia surveys have covered almost 50% of the beach area, the coverage <strong>for</strong> Drigg issignificantly lower than this. Thus, it can be assumed that the total activity <strong>for</strong> recoverableparticles on these beaches will be higher than that given in Table 4.2. It can be seen that theparticles recovered constitute a very tiny fraction of the total 137 Cs activity on these beaches(less than 0.001%). As noted previously, the <strong>for</strong>m <strong>and</strong> distribution of the majority of theactivity on these beaches is at present unknown.LocationTotal 137 Cs ActivityAGSFindsSt Bees 32.7 ± 0.1 GBq 101 kBqSeascale 217.8 ± 0.2 GBq 300 kBqDrigg 230.2 ± 0.3 GBq 89 kBqTable 4.2: 137 Cs activity on three beaches determined from the March 2000airborne survey, <strong>and</strong> the total activity of particles recovered from these beaches.32


5. CONCLUSIONSAn earlier study on the detection limits of airborne survey methods to radioactive particles onbeaches in West Cumbria has been extended to investigate the impact of dispersed 137 Csbackground activity on detection limits. Spectra <strong>for</strong> airborne survey detectors at 75m <strong>and</strong>15m ground clearance have been simulated <strong>for</strong> 137 Cs activities in uni<strong>for</strong>m distribution, <strong>and</strong> <strong>for</strong>patches of activity of 10m dimension. These have been added to the existing natural seriessimulations <strong>for</strong> medium natural background concentrations.It has been shown that where that activity is dispersed in an approximately uni<strong>for</strong>m mannerover areas several times the detector field of view the impact on detection limits is small. For137 Cs activity concentrations of 50 Bq kg -1 corresponding to the increase in detection limits<strong>for</strong> both 137 Cs <strong>and</strong> 241 Am particles observed by changing from a medium to high naturalactivity background. In a medium natural background environment with no 137 Cs background<strong>for</strong> a “low <strong>and</strong> slow” survey at 15m ground clearance <strong>and</strong> 15 knot (5 m s -1 ) ground speed,single measurement 2σ detection limits <strong>for</strong> 137 Cs sources at 10cm depth of ~6.0x10 5 Bq hadbeen estimated in the previous work, a uni<strong>for</strong>m 137 Cs background of 50 Bq kg -1 wouldincrease detection limits at this depth to ~7.5x10 5 Bq. The 241 Am detection limit <strong>for</strong>superficial sources would increase from ~1.0x10 6 Bq to ~1.3x10 6 Bq, although it should benoted that the detector response to 241 Am energies would be highly dependent upon thegeochemistry of the soil matrix. Reducing ground speed to below 5 knots would reducedetection limits <strong>for</strong> buried 137 Cs sources to ~2.0x10 5 Bq.For individual 10m patches of activity, these are indistinguishable from discrete 137 Cs pointsources of similar total activity (~2MBq <strong>for</strong> a 50 Bq kg -1 concentration) using the full energypeak count rate from uncollimated airborne detectors. In areas where such patches of activitycluster, the radiation fields from each patch overlap to generate a radiation field thatapproximates to a uni<strong>for</strong>m activity distribution. A patchy 137 Cs distribution would result in anincrease in detection limits <strong>for</strong> 137 Cs particles of at most an order of magnitude compared to auni<strong>for</strong>m distribution, dependent upon the density of patches <strong>and</strong> the activity concentrationwithin each patch. For 241 Am, the detection limit <strong>for</strong> patchy <strong>and</strong> uni<strong>for</strong>m activity would besimilar, <strong>for</strong> a given activity concentration, assuming the spectral processing correctlyaccounts <strong>for</strong> the soil geochemistry.Previous airborne surveys of West Cumbria in 1990 <strong>and</strong> 2000 showed the presence of 137 Cson, or near, the beaches north <strong>and</strong> south of <strong>Sellafield</strong>. These surveys were conducted atspeeds <strong>and</strong> ground clearances where detection limits would be 1-5MBq, larger than anyindividual particle recovered from these beaches. A simulation of the response of airbornesystems to all the particles recovered from the beaches of West Cumbria has shown that thesefinds, even cumulatively, did not contribute to the activity observed. Less than 0.001% of theactivity on the beaches calculated from the airborne surveys can be attributed to the recoveredparticles.The work conducted in the two phases of this investigation has shown that the variations innatural <strong>and</strong> anthropogenic background on the beaches of West Cumbria do not preclude theuse of airborne <strong>and</strong> other radiometric methods in collecting data at levels of sensitivityrelevant to locating radioactive particles. AGS methods can be used to survey large areas,demonstrate the absence of radioactive particles above 5-10 MBq of 137 Cs <strong>and</strong> identify areaswhere apparent patchy 137 Cs background would require detailed ground based follow-up toconfirm the absence of any particulates. More detailed surveys at reduced speed <strong>and</strong> ground33


clearance reduce detection limits, with area survey rates of ~0.5 km 2 h -1 at 50 ft groundclearance or lower being able to demonstrate the absence of 137 Cs sources of 10 5 -10 6 Bq.AGS methods allow work at rates which permit changes over single tidal cycles to beeffectively monitored, <strong>and</strong> to register signals from areas which would be difficult to accesswith vehicular based approaches. It is there<strong>for</strong>e concluded that AGS methods could beincorporated into programmes <strong>for</strong> assuring the environmental quality of coastal zones in thevicinity of nuclear sites. Further review of the <strong>for</strong>m <strong>and</strong> distribution of the dispersed 137 Csactivity on the beaches <strong>and</strong> investigation of approaches to detector collimation to betterdistinguish between point <strong>and</strong> dispersed activity may be helpful.Survey design is an important consideration in particle detection. It has been demonstratedhere that to ensure detection limits below 10 5 Bq an airborne survey would need to beconducted at a very low ground clearance (


ReferencesCresswell, A.J., S<strong>and</strong>erson, D.C.W, (2009). The use of difference spectra with a filtered rollingaverage background in mobile gamma spectrometry measurements. Nuclear Instruments <strong>and</strong> MethodsA607, 685-694.Cresswell, A.J., S<strong>and</strong>erson, D.C.W., Maneuski, D. (<strong>2010</strong>). Mobile Gamma SpectrometryMeasurements of Coneyside Beach, Cumbria. SUERC <strong>Report</strong>. Available athttp://eprints.gla.ac.uk/45771/Desmond, J.A. (20<strong>11</strong>). Pers. Comm.Parker, T. (<strong>2010</strong>). Pers. Comm.S<strong>and</strong>erson, D.C.W., Allyson, J.D., Cairns, K.J, MacDonald, P.A. (1990). A Brief AerialSurvey in the Vicinity of <strong>Sellafield</strong> in September 1990. SURRC <strong>Report</strong> <strong>for</strong> BNFL.S<strong>and</strong>erson, D.C.W., Cresswell, A.J., Murphy, S. (2000). Investigation of Spatial <strong>and</strong>Temporal Aspects of Airborne Gamma Spectrometry: Preliminary <strong>Report</strong> on Phase II Surveyof the <strong>Sellafield</strong> Vicinity, the Former RAF Carlisle Site, the Albright <strong>and</strong> Wilson Plant,Workington Harbour <strong>and</strong> the Cumbrian Coastline Conducted March 2000. SURRC <strong>Report</strong><strong>for</strong> DETR, Project Ref: RW 8/6/80.S<strong>and</strong>erson, D.C.W., Cresswell, A.J., White, D.C., Murphy, S., McLeod, J. (2001).Investigation of Spatial <strong>and</strong> Temporal Aspects of Airborne Gamma Spectrometry: Final<strong>Report</strong>. SURRC <strong>Report</strong> <strong>for</strong> DETR, Project Ref: RW 8/6/80.S<strong>and</strong>erson, D.C.W., Cresswell, A.J., White, D.C. (2007). The effect of flight line spacing onradioactivity inventory <strong>and</strong> spatial feature characteristics of airborne gamma-rayspectrometry data. International Journal of Remote Sensing 29, 31-46.S<strong>and</strong>erson, D.C.W., Cresswell, A.J. (<strong>2010</strong>), Modelling Gamma Spectrometry Systems <strong>for</strong> usein Beach Monitoring near <strong>Sellafield</strong>. SUERC report <strong>for</strong> <strong>Sellafield</strong> <strong>Ltd</strong>, contract no.4510249592.35


Appendix A: Location <strong>and</strong> Activity Data <strong>for</strong> Recovered ParticlesPosition (BNG)Activity of recovered particle (Bq)Date x y d (cm) Substrate137 Cs241 Am60 Co19/10/2007 304627 498332 12 s<strong>and</strong> 3991 7822/10/2007 304880 497961 3 s<strong>and</strong> 22 5360022/10/2007 304880 497961 3 s<strong>and</strong> 19 2650023/10/2007 304477 498289 10 s<strong>and</strong> 90 4480 865023/10/2007 304517 498250 7 s<strong>and</strong> 32200 21827/05/2008 305990 495968 5 s<strong>and</strong> 52405 32327/05/2008 306058 465892 1 s<strong>and</strong> 22 5750016/06/<strong>2010</strong> 306397 4959<strong>11</strong> 1 S<strong>and</strong> 29 3220022/06/<strong>2010</strong> 305024 497826 3 S<strong>and</strong> 30 4810006/07/<strong>2010</strong> 305001 497629 2 S<strong>and</strong> 28 3750012/07/<strong>2010</strong> 304991 498045 2 S<strong>and</strong> 25 2520014/07/<strong>2010</strong> 304651 497535 1 S<strong>and</strong> 27 2820014/07/<strong>2010</strong> 305045 497346 3 S<strong>and</strong> 23 2990015/07/<strong>2010</strong> 306891 495177 2 S<strong>and</strong> 23 2660015/07/<strong>2010</strong> 306797 495289 2 S<strong>and</strong> 44 760019/07/<strong>2010</strong> 307471 495339 1 S<strong>and</strong> 26 2870021/07/<strong>2010</strong> 306690 494806 1 S<strong>and</strong> 24 32900Table A.1: Location <strong>and</strong> activities <strong>for</strong> particles recovered at Drigg36


Position (BNG)Activity of recovered particle (Bq)Date x y d (cm) Substrate137 Cs241 Am60 Co05/06/2007 303014 501739 0 s<strong>and</strong> 82 133 645806/06/2007 302423 502028 5 s<strong>and</strong> 13901 15707/06/2007 303012 501244 0 s<strong>and</strong> 17202 17403/10/2007 303269 50<strong>11</strong>00 10 s<strong>and</strong> <strong>11</strong>400 13204/10/2007 303304 50<strong>11</strong>44 3 s<strong>and</strong> 4370 26605/10/2007 303281 50<strong>11</strong>34 7 s<strong>and</strong> 7912 10805/12/2007 304389 499512 3 shingle 5774 10421/04/2008 303575 500853 15 s<strong>and</strong> 34005 26223/04/2008 303543 500907 8 s<strong>and</strong> 9651 14409/05/2008 303344 501385 4 s<strong>and</strong> 37301 28510/<strong>11</strong>/2008 303506 500966 5 s<strong>and</strong> 18102 20412/<strong>11</strong>/2008 303272 501405 0 s<strong>and</strong> 25 2860013/<strong>11</strong>/2008 303500 50<strong>11</strong>08 0 s<strong>and</strong> 26 8410013/<strong>11</strong>/2008 303145 501622 3 s<strong>and</strong> 6161 12217/<strong>11</strong>/2008 303048 501587 20 s<strong>and</strong> 24701 20918/<strong>11</strong>/2008 302692 501820 1 s<strong>and</strong> 25 7460018/<strong>11</strong>/2008 302706 501832 2 s<strong>and</strong> 14001 019/<strong>11</strong>/2008 302912 501872 2 s<strong>and</strong> 53<strong>11</strong> <strong>11</strong>924/02/2009 302273 502023 28 s<strong>and</strong> 60203 7<strong>11</strong>26/02/2009 302650 501967 5 s<strong>and</strong> 475 9<strong>11</strong>1/05/2009 303563 500956 2 S<strong>and</strong> 5290 2<strong>11</strong><strong>11</strong>/05/2009 303369 50<strong>11</strong>50 3 S<strong>and</strong> 3330 16914/05/2009 303285 501428 3 S<strong>and</strong> 25 9800018/05/2009 302620 502210 2 S<strong>and</strong> 5540 202<strong>11</strong>/06/2009 304107 500007 2 S<strong>and</strong> 4240 17127/08/2009 302668 501850 8 S<strong>and</strong> 3700 17501/09/2009 302764 501861 2 S<strong>and</strong> 27 2840009/09/2009 303966 499906 6 S<strong>and</strong> 2921 17<strong>11</strong>1/09/2009 304025 499784 6 S<strong>and</strong> 4392 20914/09/2009 304160 499614 0 S<strong>and</strong> 28 1870020/03/<strong>2010</strong> 302954 501559 1 S<strong>and</strong> 29 3740822/03/<strong>2010</strong> 302844 501993 1 S<strong>and</strong> 31 2940624/03/<strong>2010</strong> 302870 501872 1 S<strong>and</strong> 24 3210024/03/<strong>2010</strong> 302846 501720 1 S<strong>and</strong> 24 3820027/03/<strong>2010</strong> 303229 501572 3 S<strong>and</strong> 28 3000527/03/<strong>2010</strong> 302949 501587 2 S<strong>and</strong> 25 2100427/03/<strong>2010</strong> 303172 501451 1 S<strong>and</strong> 27 3170626/04/<strong>2010</strong> 303434 500987 1 S<strong>and</strong> 26 2520230/04/<strong>2010</strong> 303249 500858 2 S<strong>and</strong> 24 3760<strong>11</strong>/05/<strong>2010</strong> 303485 50<strong>11</strong><strong>11</strong> 1 S<strong>and</strong> 27 1450<strong>11</strong>1/05/<strong>2010</strong> 303322 500950 2 S<strong>and</strong> 21 2170212/05/<strong>2010</strong> 303266 500884 1 S<strong>and</strong> 29 2090<strong>11</strong>3/05/<strong>2010</strong> 303373 500960 2 S<strong>and</strong> 22 3330217/05/<strong>2010</strong> 303387 501084 3 S<strong>and</strong> 22 51702Table A.2: Location <strong>and</strong> activities <strong>for</strong> particles recovered at Seascale37


Position (BNG)Activity of recovered particle (Bq)Date x y d (cm) Substrate137 Cs241 Am60 Co29/<strong>11</strong>/2006 301605 503303 2 S<strong>and</strong> 7465 53329/<strong>11</strong>/2006 301575 503341 12 S<strong>and</strong> 2460030/<strong>11</strong>/2006 301841 503349 10 Shingle 767030/<strong>11</strong>/2006 301813 503501 0 Shingle 8530030/<strong>11</strong>/2006 301772 503354 8 S<strong>and</strong> 4970001/12/2006 301843 503484 5 Shingle 5260001/12/2006 301556 503325 12 S<strong>and</strong> 884001/12/2006 301562 503331 10 S<strong>and</strong> 1640001/12/2006 301583 503308 0 S<strong>and</strong> 1040024/05/2007 301649 503257 5 S<strong>and</strong> 32<strong>11</strong>1 30924/05/2007 301675 503274 15 S<strong>and</strong> 68224 38824/05/2007 301750 503272 10 S<strong>and</strong> 31613 25724/05/2007 301972 503145 10 S<strong>and</strong> <strong>11</strong>704 14824/05/2007 302029 503<strong>11</strong>5 5 S<strong>and</strong> <strong>11</strong>904 15325/05/2007 302046 503073 1 S<strong>and</strong> 21 35701025/05/2007 301582 503360 5 S<strong>and</strong> 5482 10925/05/2007 301583 503359 10 S<strong>and</strong> 7222 14725/05/2007 301614 503317 20 S<strong>and</strong> <strong>11</strong>5041 49025/05/2007 301590 503316 7 S<strong>and</strong> 12905 15225/05/2007 301588 503334 2 S<strong>and</strong> 9864 13525/05/2007 301599 503340 2 S<strong>and</strong> 17 9800325/05/2007 301716 503413 8 S<strong>and</strong> 17807 17225/05/2007 301728 503425 17 S<strong>and</strong> 30<strong>11</strong>4 21225/05/2007 301758 503436 17 S<strong>and</strong> 53926 28326/05/2007 302106 503043 10 S<strong>and</strong> 30212 21826/05/2007 302146 502985 1 S<strong>and</strong> <strong>11</strong>505 13227/05/2007 302246 502870 2 S<strong>and</strong> 12306 16927/05/2007 302240 502839 13 S<strong>and</strong>/Shingle 191 <strong>11</strong>4027/05/2007 302276 502859 1 Shingle 13007 16628/05/2007 302163 502987 3 S<strong>and</strong>/Shingle 16208 18228/05/2007 302249 502924 0 S<strong>and</strong>/Shingle 13807 19429/05/2007 302302 502738 10 S<strong>and</strong>/Shingle 26812 25229/05/2007 302235 502815 13 S<strong>and</strong>/Shingle 91 97130/05/2007 302140 502886 0 S<strong>and</strong>/Shingle 10804 14030/05/2007 302195 502600 1 S<strong>and</strong>/Shingle <strong>11</strong>405 15131/05/2007 301464 503362 16 S<strong>and</strong> 52619 32631/05/2007 301485 503429 5 S<strong>and</strong> 5652 12331/05/2007 301678 503520 4 S<strong>and</strong> 25910 22101/06/2007 301488 503424 2 S<strong>and</strong> 6453 10101/06/2007 301530 503376 2 S<strong>and</strong> 821 5801/06/2007 301590 503413 3 S<strong>and</strong> 6513 30301/06/2007 301532 503413 8 S<strong>and</strong> 8354 13138


01/06/2007 301643 503527 <strong>11</strong> S<strong>and</strong> 10606 13101/06/2007 301663 503514 2 S<strong>and</strong> 30216 23301/06/2007 301717 503643 2 S<strong>and</strong> 45925 22901/06/2007 301798 503540 2 Shingle <strong>11</strong>006 14001/06/2007 301786 503566 1 Shingle <strong>11</strong>207 16601/06/2007 301799 503545 1 S<strong>and</strong>/Shingle 79048 46402/06/2007 301485 503423 2 S<strong>and</strong> 5103 <strong>11</strong>102/06/2007 301476 503431 8 S<strong>and</strong> 88658 4<strong>11</strong>02/06/2007 301531 503357 3 S<strong>and</strong> 19 5620302/06/2007 301531 503441 0 S<strong>and</strong> 2872 9302/06/2007 301646 503504 3 S<strong>and</strong> 62742 34702/06/2007 301692 503682 0 S<strong>and</strong> 167<strong>11</strong> 19402/06/2007 301820 503506 4 S<strong>and</strong>/Pebbles 60343 36903/06/2007 3016<strong>11</strong> 503523 13 S<strong>and</strong>/Pebbles 58342 36903/06/2007 301589 503557 0 S<strong>and</strong> 6715 13103/06/2007 301604 503555 8 S<strong>and</strong> 47034 32303/06/2007 301615 503564 8 S<strong>and</strong> 17813 20703/06/2007 301624 503563 2 S<strong>and</strong> 7607 13103/06/2007 301659 503629 0 Pebbles 67962 38503/06/2007 301695 503620 23 S<strong>and</strong> 13<strong>11</strong>20 37003/06/2007 301716 503630 0 Shingle 44941 28303/06/2007 301725 503651 0 Pebbles 68163 37304/09/2007 301660 503252 1 S<strong>and</strong> 5661 <strong>11</strong>004/09/2007 301724 503244 15 S<strong>and</strong> 52008 31404/09/2007 301780 503276 12 S<strong>and</strong> 20803 <strong>2010</strong>4/09/2007 301925 503312 0 S<strong>and</strong> 5031 <strong>11</strong>205/09/2007 301607 503308 2 S<strong>and</strong> 2740 8905/09/2007 301604 503360 5 S<strong>and</strong> 6071 14505/09/2007 301699 503418 0 S<strong>and</strong> 5761 10205/09/2007 301725 503405 9 S<strong>and</strong> 15502 44406/09/2007 301720 503464 3 S<strong>and</strong> <strong>11</strong>903 13806/09/2007 301720 503468 7 S<strong>and</strong> 16405 16606/09/2007 301735 503406 7 S<strong>and</strong> 2480 25006/09/2007 301726 503444 4 S<strong>and</strong> 2991 8706/09/2007 301731 503423 4 S<strong>and</strong> 4361 52206/09/2007 301679 503504 5 S<strong>and</strong> 2241 7206/09/2007 301682 503502 6 S<strong>and</strong> 8423 12206/09/2007 301738 503426 3 S<strong>and</strong> 7102 <strong>11</strong>306/09/2007 301730 503450 2 S<strong>and</strong> 6592 <strong>11</strong>707/09/2007 301784 503487 5 S<strong>and</strong> 10102 13007/09/2007 301809 503491 8 S<strong>and</strong> 19 63400910/09/2007 301915 503310 5 S<strong>and</strong> 17402 172 24210/09/2007 301662 503352 10 S<strong>and</strong> 3731 286<strong>11</strong>/09/2007 301492 503445 5 S<strong>and</strong> 10802 14039


<strong>11</strong>/09/2007 301521 503408 6 S<strong>and</strong> 1950 147<strong>11</strong>/09/2007 301512 503436 3 S<strong>and</strong> 2790 78<strong>11</strong>/09/2007 301703 503558 28 S<strong>and</strong> 31805 21912/09/2007 301525 503414 12 S<strong>and</strong> 7251 <strong>11</strong>012/09/2007 301517 503436 13 S<strong>and</strong> 73<strong>11</strong> 10612/09/2007 301536 503428 9 S<strong>and</strong> 7721 10712/09/2007 301543 503419 8 S<strong>and</strong> 2850 7612/09/2007 301540 503426 6 S<strong>and</strong> 2791 14212/09/2007 301677 503497 6 S<strong>and</strong> 23 6520012/09/2007 301726 503577 5 S<strong>and</strong> 6992 <strong>11</strong>813/09/2007 301540 503432 <strong>11</strong> S<strong>and</strong> 4571 10<strong>11</strong>3/09/2007 301534 503478 3 S<strong>and</strong> 3691 17<strong>11</strong>3/09/2007 301534 503481 1 S<strong>and</strong> 2321 7513/09/2007 301552 503431 5 S<strong>and</strong> 19 5520013/09/2007 301554 503427 1 S<strong>and</strong> 19 2560013/09/2007 301540 503470 5 S<strong>and</strong> 6202 <strong>11</strong>713/09/2007 301559 503427 8 S<strong>and</strong> 3851 9213/09/2007 301695 503493 2 S<strong>and</strong> <strong>11</strong>004 14013/09/2007 301637 503517 3 S<strong>and</strong> 5872 28513/09/2007 301712 503519 7 S<strong>and</strong> 9024 14314/09/2007 301507 503429 12 S<strong>and</strong> 7183 12914/09/2007 301496 503444 5 S<strong>and</strong> 2891 5414/09/2007 301494 503441 3 S<strong>and</strong> 3852 12014/09/2007 301519 503413 3 S<strong>and</strong> 4742 9614/09/2007 301570 503412 7 S<strong>and</strong> 6243 12614/09/2007 301501 503421 12 S<strong>and</strong> 4162 <strong>11</strong>514/09/2007 301488 503434 5 S<strong>and</strong> 2801 8314/09/2007 301526 503387 0 S<strong>and</strong> 4501 45614/09/2007 301491 503425 6 S<strong>and</strong> 5092 15514/09/2007 301529 503384 10 S<strong>and</strong> 33816 27614/09/2007 301512 503401 8 S<strong>and</strong> 2631 9<strong>11</strong>4/09/2007 301709 503428 0 S<strong>and</strong> 18 1610014/09/2007 301718 503441 2 S<strong>and</strong> 4782 <strong>11</strong>714/09/2007 301778 503504 2 S<strong>and</strong> 18 2630007/<strong>11</strong>/2007 301581 503625 3 S<strong>and</strong> 4640 9007/<strong>11</strong>/2007 301474 503743 0 S<strong>and</strong> 2900 8207/<strong>11</strong>/2007 301508 503697 2 S<strong>and</strong> 5901 5307/<strong>11</strong>/2007 301483 503717 6 S<strong>and</strong> 23804 18507/<strong>11</strong>/2007 301588 503592 0 S<strong>and</strong> 14801 96508/<strong>11</strong>/2007 301576 503753 2 S<strong>and</strong> <strong>11</strong>401 14308/<strong>11</strong>/2007 301590 503735 7 S<strong>and</strong> <strong>11</strong>60 5808/<strong>11</strong>/2007 301683 503691 2 S<strong>and</strong> 18405 17308/<strong>11</strong>/2007 301617 503770 3 S<strong>and</strong> 20806 18508/<strong>11</strong>/2007 301517 503870 3 S<strong>and</strong> 22 7260040


08/<strong>11</strong>/2007 301498 503897 5 S<strong>and</strong> 12003 14408/<strong>11</strong>/2007 301502 503889 4 S<strong>and</strong> 14901 8008/<strong>11</strong>/2007 301504 503868 2 S<strong>and</strong> 13104 14708/<strong>11</strong>/2007 301510 503860 6 S<strong>and</strong> 8531 24609/<strong>11</strong>/2007 301626 503741 3 S<strong>and</strong> 2141 6809/<strong>11</strong>/2007 301584 503783 4 S<strong>and</strong> 7302 16009/<strong>11</strong>/2007 301664 503670 15 S<strong>and</strong> 76326 32609/<strong>11</strong>/2007 301637 5037<strong>11</strong> 0 S<strong>and</strong> 10203 73609/<strong>11</strong>/2007 301600 503758 8 S<strong>and</strong> 9393 13809/<strong>11</strong>/2007 301498 503931 10 S<strong>and</strong> 12604 14012/<strong>11</strong>/2007 301502 503687 1 S<strong>and</strong> 17 10100<strong>11</strong>2/<strong>11</strong>/2007 301522 503638 5 S<strong>and</strong> 13603 15312/<strong>11</strong>/2007 301427 503971 16 S<strong>and</strong> 71934 33512/<strong>11</strong>/2007 301499 503940 10 Shingle 33908 5912/<strong>11</strong>/2007 301457 503974 0 Pebbles 8345 13512/<strong>11</strong>/2007 301484 503959 8 Pebbles 144 219 2346312/<strong>11</strong>/2007 301507 503939 15 Pebbles 177105 52<strong>11</strong>2/<strong>11</strong>/2007 301508 503943 7 Pebbles 10206 6712/<strong>11</strong>/2007 301606 503833 6 Pebbles 31619 23212/<strong>11</strong>/2007 301582 503862 0 Pebbles 14509 16012/<strong>11</strong>/2007 301494 503977 5 Pebbles 44412 18212/<strong>11</strong>/2007 301596 503844 5 Pebbles 19713 19412/<strong>11</strong>/2007 301431 504013 3 Pebbles 20414 19213/<strong>11</strong>/2007 301469 503723 15 S<strong>and</strong> 3432 8913/<strong>11</strong>/2007 301509 503688 6 S<strong>and</strong> 4161 10413/<strong>11</strong>/2007 301492 503692 0 S<strong>and</strong> 4651 13913/<strong>11</strong>/2007 301472 503715 0 S<strong>and</strong> 18 3540013/<strong>11</strong>/2007 301516 503651 0 S<strong>and</strong> 18 323013/<strong>11</strong>/2007 301584 503575 13 S<strong>and</strong> 10602 14513/<strong>11</strong>/2007 301376 504048 3 S<strong>and</strong> 18804 19513/<strong>11</strong>/2007 301402 504018 6 S<strong>and</strong> 9306 12613/<strong>11</strong>/2007 301406 504022 4 S<strong>and</strong> 28712 15713/<strong>11</strong>/2007 301414 504028 9 Pebbles 4723 9613/<strong>11</strong>/2007 301354 504127 15 Pebbles 63141 30013/<strong>11</strong>/2007 301341 504143 3 Pebbles 14510 14<strong>11</strong>3/<strong>11</strong>/2007 301396 504101 14 Pebbles 67345 30013/<strong>11</strong>/2007 301354 504153 0 Pebbles 12308 14313/<strong>11</strong>/2007 301289 504228 10 Pebbles 5864 10313/<strong>11</strong>/2007 301289 504227 3 Pebbles 17715 17813/<strong>11</strong>/2007 301408 504066 8 Pebbles 22619 17413/<strong>11</strong>/2007 301285 504227 5 Pebbles 15814 14714/<strong>11</strong>/2007 301387 503556 10 S<strong>and</strong> 59647 28814/<strong>11</strong>/2007 301424 503493 7 S<strong>and</strong> 24321 19214/<strong>11</strong>/2007 301425 503490 5 S<strong>and</strong> 126<strong>11</strong> 14441


14/<strong>11</strong>/2007 301442 503457 4 S<strong>and</strong> 25522 19414/<strong>11</strong>/2007 301451 503443 2 S<strong>and</strong> 6496 <strong>11</strong>514/<strong>11</strong>/2007 301450 503450 1 S<strong>and</strong> 12712 15614/<strong>11</strong>/2007 301426 503498 2 S<strong>and</strong> 4584 10414/<strong>11</strong>/2007 301457 503443 2 S<strong>and</strong> 2062 13914/<strong>11</strong>/2007 301212 504<strong>11</strong>2 1 S<strong>and</strong> 20 5240<strong>11</strong>4/<strong>11</strong>/2007 301247 504224 7 S<strong>and</strong> 14414 19814/<strong>11</strong>/2007 301285 504170 10 S<strong>and</strong> <strong>11</strong>0<strong>11</strong> 15015/<strong>11</strong>/2007 301065 504195 5 S<strong>and</strong> 5092 63715/<strong>11</strong>/2007 30<strong>11</strong>36 504089 17 S<strong>and</strong> <strong>11</strong>0032 478015/<strong>11</strong>/2007 301070 504192 19 S<strong>and</strong> 19819 19<strong>11</strong>5/<strong>11</strong>/2007 30<strong>11</strong>32 504107 9 S<strong>and</strong> 9188 13415/<strong>11</strong>/2007 30<strong>11</strong>67 504059 17 S<strong>and</strong> <strong>11</strong>6<strong>11</strong> 10015/<strong>11</strong>/2007 30<strong>11</strong>10 504157 4 S<strong>and</strong> 131045 223015/<strong>11</strong>/2007 30<strong>11</strong>18 504155 20 S<strong>and</strong> 176172 58715/<strong>11</strong>/2007 30<strong>11</strong>06 504174 10 S<strong>and</strong> 24624 46415/<strong>11</strong>/2007 300981 504705 3 S<strong>and</strong> 19319 18215/<strong>11</strong>/2007 300943 504607 5 S<strong>and</strong> 3183 <strong>11</strong><strong>11</strong>9/<strong>11</strong>/2007 300659 504882 6 S<strong>and</strong> 1852 7<strong>11</strong>9/<strong>11</strong>/2007 3006<strong>11</strong> 504980 5 S<strong>and</strong> 18 8820<strong>11</strong>9/<strong>11</strong>/2007 300594 504837 6 S<strong>and</strong> 27125 6919/<strong>11</strong>/2007 300663 504962 5 S<strong>and</strong> 18 526019/<strong>11</strong>/2007 300732 504921 6 S<strong>and</strong> 7927 12019/<strong>11</strong>/2007 300784 504853 10 S<strong>and</strong> 127 198 1791020/<strong>11</strong>/2007 300349 505431 0 S<strong>and</strong> 5795 10620/<strong>11</strong>/2007 300689 504900 7 S<strong>and</strong> 5525 5720/<strong>11</strong>/2007 301695 503546 4 S<strong>and</strong> 8828 13220/<strong>11</strong>/2007 301208 504282 1 Shingle 19<strong>11</strong>7 18520/<strong>11</strong>/2007 300929 504647 8 S<strong>and</strong> 38535 26422/<strong>11</strong>/2007 301866 503409 8 S<strong>and</strong> 59250 28822/<strong>11</strong>/2007 301836 503454 17 S<strong>and</strong> 29925 20123/<strong>11</strong>/2007 301716 503551 26 S<strong>and</strong> 157124 49226/<strong>11</strong>/2007 301698 503646 0 S<strong>and</strong> 20 5210026/<strong>11</strong>/2007 301680 503628 1 S<strong>and</strong> 14910 19326/<strong>11</strong>/2007 301682 503610 6 S<strong>and</strong> 59439 3<strong>11</strong>26/<strong>11</strong>/2007 301674 503602 0 S<strong>and</strong> 21 1570026/<strong>11</strong>/2007 301658 503618 3 S<strong>and</strong> 10807 13826/<strong>11</strong>/2007 301653 503622 3 S<strong>and</strong> 4843 9128/<strong>11</strong>/2007 301699 503556 5 S<strong>and</strong> 21412 19428/<strong>11</strong>/2007 301690 503583 7 S<strong>and</strong> 13408 15628/<strong>11</strong>/2007 301719 503589 20 S<strong>and</strong> 9566 13729/<strong>11</strong>/2007 301531 503394 0 S<strong>and</strong> 5123 10229/<strong>11</strong>/2007 301542 503369 13 S<strong>and</strong> 14708 17029/<strong>11</strong>/2007 301447 503464 10 S<strong>and</strong> 17009 16842


29/<strong>11</strong>/2007 301456 503466 17 S<strong>and</strong> 43832 29729/<strong>11</strong>/2007 301445 503486 12 S<strong>and</strong> 6835 13829/<strong>11</strong>/2007 301469 503491 1 S<strong>and</strong> 20 2870129/<strong>11</strong>/2007 301725 503567 17 S<strong>and</strong> 33524 27630/<strong>11</strong>/2007 301683 503445 6 S<strong>and</strong> 9725 14730/<strong>11</strong>/2007 301692 503439 7 S<strong>and</strong> 4612 10530/<strong>11</strong>/2007 301698 503437 15 S<strong>and</strong> 178<strong>11</strong> 15530/<strong>11</strong>/2007 301478 503439 20 S<strong>and</strong> 4373 9230/<strong>11</strong>/2007 301629 503370 14 S<strong>and</strong> 6025 <strong>11</strong>530/<strong>11</strong>/2007 301640 503359 2 S<strong>and</strong> 4904 9730/<strong>11</strong>/2007 301652 503340 7 S<strong>and</strong> 145<strong>11</strong> 15630/<strong>11</strong>/2007 301778 503350 7 S<strong>and</strong> 5624 10303/12/2007 301721 503622 8 S<strong>and</strong> 45522 30203/12/2007 301713 503605 3 S<strong>and</strong> 4322 10603/12/2007 301700 503597 4 S<strong>and</strong> 5943 8403/12/2007 301714 503569 9 S<strong>and</strong> 7204 9103/12/2007 301705 503568 10 S<strong>and</strong> 47125 499003/12/2007 301687 503588 9 S<strong>and</strong> 12907 12003/12/2007 301689 503584 10 S<strong>and</strong> 2201 18403/12/2007 301691 503571 <strong>11</strong> S<strong>and</strong> 209<strong>11</strong> 14803/12/2007 301594 503484 3 S<strong>and</strong> 15 3960103/12/2007 301673 503495 15 S<strong>and</strong> <strong>11</strong>807 15103/12/2007 301652 503535 0 S<strong>and</strong> 3462 8703/12/2007 301703 503509 5 S<strong>and</strong> 28917 21604/12/2007 301671 503475 27 S<strong>and</strong> 572273 96504/12/2007 301682 503473 15 S<strong>and</strong> 13006 15204/12/2007 301679 503482 6 S<strong>and</strong> 5793 <strong>11</strong>604/01/2008 301532 503841 4 S<strong>and</strong> 17204 21404/01/2008 301586 503784 4 S<strong>and</strong> 4261 8804/01/2008 301656 503709 5 S<strong>and</strong> 20 5750104/01/2008 301596 503770 4 S<strong>and</strong> 14103 15004/01/2008 301574 503792 7 S<strong>and</strong> 10202 13504/01/2008 301555 503814 14 S<strong>and</strong> 44412 25704/01/2008 301493 503886 7 S<strong>and</strong> 29708 21007/01/2008 301376 504128 0 Pebbles 21402 18407/01/2008 301227 504322 3 Pebbles 90<strong>11</strong> 12007/01/2008 301064 504534 7 Pebbles 44604 25907/01/2008 30<strong>11</strong>25 504453 9 Pebbles 7571 12207/01/2008 301481 503994 10 Pebbles 10702 13708/01/2008 301555 503810 10 S<strong>and</strong> 5<strong>11</strong>05 31408/01/2008 301692 503621 2 S<strong>and</strong> 17 10900109/01/2008 301588 503764 3 S<strong>and</strong> 20202 28310/01/2008 301692 503514 4 S<strong>and</strong> 9691 12410/01/2008 301758 503451 10 S<strong>and</strong> 18002 17243


10/01/2008 301694 503522 12 S<strong>and</strong> 27603 208<strong>11</strong>/01/2008 301469 5039<strong>11</strong> 5 S<strong>and</strong> 7200 9330<strong>11</strong>/01/2008 301395 504021 9 S<strong>and</strong> 17301 17<strong>11</strong>1/01/2008 301332 504<strong>11</strong>0 7 S<strong>and</strong> 17101 170<strong>11</strong>/01/2008 301368 504079 14 S<strong>and</strong> 13000 14<strong>11</strong>1/01/2008 301325 504139 5 S<strong>and</strong> 12501 14916/01/2008 300544 504809 4 S<strong>and</strong> 14102 15216/01/2008 3006<strong>11</strong> 504913 2 S<strong>and</strong> 21 7050122/01/2008 301270 504227 7 S<strong>and</strong> 109010 44722/01/2008 301050 504536 5 S<strong>and</strong> 25102 21822/01/2008 301019 504561 5 Pebbles 21302 19322/01/2008 300765 504933 5 S<strong>and</strong> 74908 36123/01/2008 301268 504018 7 S<strong>and</strong> 8101 14323/01/2008 301217 504295 6 Shingle 13501 16423/01/2008 301241 504285 9 Shingle 49205 38024/01/2008 300869 504557 2 S<strong>and</strong> 128 223 1966124/01/2008 300712 505049 5 S<strong>and</strong> 16612 16625/01/2008 300884 504596 10 S<strong>and</strong> 23916 18925/01/2008 300945 504521 2 S<strong>and</strong> 19 5950225/01/2008 30<strong>11</strong>26 504408 10 Pebbles <strong>11</strong>1074 40429/01/2008 300415 505107 6 S<strong>and</strong> 30713 21730/01/2008 301315 504020 5 S<strong>and</strong> 6652 30930/01/2008 301313 504023 5 S<strong>and</strong> 10904 12630/01/2008 301367 503906 4 S<strong>and</strong> 9954 12130/01/2008 301290 504035 7 S<strong>and</strong> 13405 14430/01/2008 30<strong>11</strong>76 504358 5 S<strong>and</strong> 29312 19531/01/2008 301656 503749 30 Shingle 875083 493031/01/2008 301660 503728 3 Pebbles 16906 16831/01/2008 30<strong>11</strong>47 504243 18 S<strong>and</strong> 78632 32831/01/2008 30<strong>11</strong>65 504210 4 S<strong>and</strong> <strong>11</strong>305 14231/01/2008 30<strong>11</strong>28 504266 <strong>11</strong> S<strong>and</strong> 33714 21931/01/2008 30<strong>11</strong>23 504262 8 S<strong>and</strong> 23310 18105/02/2008 300890 504636 18 S<strong>and</strong> 65210 29505/02/2008 300901 504628 6 S<strong>and</strong> 46307 25006/02/2008 301560 503834 5 Shingle 29905 21906/02/2008 301543 503454 6 Shingle 51918 30206/02/2008 301424 503806 8 S<strong>and</strong> 323<strong>11</strong> 41007/02/2008 301633 503478 4 S<strong>and</strong> 25102 19107/02/2008 301677 503441 12 S<strong>and</strong> 4<strong>11</strong>12 25007/02/2008 301344 504010 5 S<strong>and</strong> 392<strong>11</strong> 24307/02/2008 301320 504032 2 S<strong>and</strong> 26809 18107/02/2008 301290 504077 20 S<strong>and</strong> 126 32607/02/2008 301018 504320 3 S<strong>and</strong> 20 20000107/02/2008 301022 504295 15 S<strong>and</strong> 48017 25044


07/02/2008 301022 504295 7 S<strong>and</strong> 24108 17808/02/2008 301360 503812 18 S<strong>and</strong> 310<strong>11</strong> 19708/02/2008 301335 503995 30 S<strong>and</strong> 66<strong>11</strong>86 104108/02/2008 301315 504002 5 S<strong>and</strong> 9043 375<strong>11</strong>/02/2008 301305 504026 5 S<strong>and</strong> 12103 130<strong>11</strong>/02/2008 301336 503982 5 S<strong>and</strong> 13603 146<strong>11</strong>/02/2008 301319 504086 2 S<strong>and</strong> 13904 14<strong>11</strong>2/02/2008 30<strong>11</strong>16 503937 2 S<strong>and</strong> 7562 10812/02/2008 301224 504019 3 S<strong>and</strong> 17304 15513/02/2008 30<strong>11</strong>40 504140 8 S<strong>and</strong> 183029 50413/02/2008 300988 504039 8 S<strong>and</strong> <strong>11</strong>604 19613/02/2008 300961 504055 7 S<strong>and</strong> 13905 24513/02/2008 301453 503314 5 S<strong>and</strong> 12302 97613/02/2008 301390 503540 3 S<strong>and</strong> 9963 15913/02/2008 301377 503561 3 S<strong>and</strong> 165057 59913/02/2008 301404 503502 8 S<strong>and</strong> 19407 21614/02/2008 300977 503961 10 S<strong>and</strong> 69420 38314/02/2008 300938 504007 6 S<strong>and</strong> 22207 20714/02/2008 300914 504050 5 S<strong>and</strong> 51417 31903/03/2008 301691 503469 5 S<strong>and</strong> 18401 18503/03/2008 301708 503413 14 S<strong>and</strong> 55801 35603/03/2008 301724 503407 8 S<strong>and</strong> 42901 27303/03/2008 301726 503419 2 S<strong>and</strong> 8210 12903/03/2008 301685 503446 4 S<strong>and</strong> 30001 21904/03/2008 301670 503456 4 S<strong>and</strong> 6921 13504/03/2008 301688 503451 5 S<strong>and</strong> 17802 26406/03/2008 301656 503495 10 S<strong>and</strong> 52605 30906/03/2008 301594 503561 17 S<strong>and</strong> 78107 37606/03/2008 301444 503344 12 S<strong>and</strong> 52705 32106/03/2008 301631 503598 33 S<strong>and</strong> 457043 106807/03/2008 301635 503606 8 S<strong>and</strong> 43902 292<strong>11</strong>/03/2008 301493 503715 12 S<strong>and</strong> 22502 25213/03/2008 301431 503818 10 S<strong>and</strong> 6871 12213/03/2008 301323 503522 6 S<strong>and</strong> 35503 25213/03/2008 301315 503520 6 S<strong>and</strong> 29603 23513/03/2008 301460 503832 25 S<strong>and</strong> 183017 56123/06/2008 301669 503513 2 S<strong>and</strong> 26202 22223/06/2008 301597 503183 <strong>11</strong> S<strong>and</strong> 44604 29723/06/2008 301532 503243 2 S<strong>and</strong> 12101 20223/06/2008 301540 503231 5 S<strong>and</strong> 28803 23623/06/2008 301539 503223 <strong>11</strong> S<strong>and</strong> 130 232 193<strong>11</strong>24/06/2008 301618 503558 4 S<strong>and</strong> 6880 12024/06/2008 301561 503150 4 S<strong>and</strong> 88503 42324/06/2008 301505 503252 5 S<strong>and</strong> 15201 42545


24/06/2008 301662 503500 4 S<strong>and</strong> 26302 24024/06/2008 301529 503674 3 S<strong>and</strong> 18902 18524/06/2008 301664 503524 4 S<strong>and</strong> 25 6890024/06/2008 301567 503844 3 Shingle <strong>11</strong>20<strong>11</strong> 44725/06/2008 300976 504033 10 S<strong>and</strong> 28703 22425/06/2008 301068 504276 10 S<strong>and</strong> 14502 15925/06/2008 301055 504314 5 S<strong>and</strong> 63010 34025/06/2008 301226 504259 2 Shingle <strong>11</strong>002 14426/06/2008 301355 504084 2 S<strong>and</strong> 20606 21726/06/2008 301384 504048 14 S<strong>and</strong> 19005 21326/06/2008 30<strong>11</strong>73 504333 4 Shingle 35910 026/06/2008 301421 504016 4 Shingle 22 4270126/06/2008 301344 504<strong>11</strong>7 3 Shingle 62818 47130/06/2008 30<strong>11</strong>89 503794 9 S<strong>and</strong> 26702 21930/06/2008 301203 503764 3 S<strong>and</strong> 8471 12730/06/2008 301222 503622 4 S<strong>and</strong> 13901 16501/07/2008 301365 503561 4 S<strong>and</strong> 18802 18001/07/2008 301369 503507 3 S<strong>and</strong> 13301 16201/07/2008 301341 503517 4 S<strong>and</strong> 10201 13801/07/2008 301352 503553 4 S<strong>and</strong> 6671 16901/07/2008 301383 503523 7 S<strong>and</strong> 19903 20402/07/2008 301672 503715 7 Shingle 38904 25702/07/2008 301584 503816 5 Shingle 37604 25902/07/2008 301798 503539 4 Shingle <strong>11</strong>20<strong>11</strong> 44503/07/2008 3010<strong>11</strong> 504558 5 Shingle 26001 21703/07/2008 301019 504553 5 Shingle 24501 20603/07/2008 30<strong>11</strong>21 504421 5 Shingle 13601 15903/07/2008 30<strong>11</strong>62 503884 5 S<strong>and</strong> 4751 9703/07/2008 30<strong>11</strong>26 503900 1 S<strong>and</strong> 43610 26903/07/2008 30<strong>11</strong>59 503857 5 S<strong>and</strong> 7332 12304/07/2008 300973 5040<strong>11</strong> 17 S<strong>and</strong> 127035 47804/07/2008 301061 503892 3 S<strong>and</strong> 7332 <strong>11</strong>704/07/2008 301024 503914 2 S<strong>and</strong> 18005 17804/07/2008 301080 503845 10 S<strong>and</strong> 20806 18807/07/2008 301356 503354 18 S<strong>and</strong> 61209 39907/07/2008 301276 503596 4 S<strong>and</strong> 31503 25207/07/2008 301408 503835 4 S<strong>and</strong> 14201 15308/07/2008 301308 503564 5 S<strong>and</strong> 38704 25908/07/2008 301314 503565 4 S<strong>and</strong> 21 8700<strong>11</strong>5/09/2008 300690 504947 5 S<strong>and</strong> 21002 19417/09/2008 301608 503591 2 S<strong>and</strong> 17 652017/09/2008 301670 503518 4 S<strong>and</strong> 29603 20217/09/2008 301544 503679 10 S<strong>and</strong> <strong>11</strong>801 13417/09/2008 301684 503513 30 S<strong>and</strong> 166025 49746


19/09/2008 301388 503561 10 S<strong>and</strong> 8403 12319/09/2008 301347 503610 3 S<strong>and</strong> 6852 10519/09/2008 301405 503545 10 S<strong>and</strong> 17606 16919/09/2008 3014<strong>11</strong> 503537 4 S<strong>and</strong> 7703 <strong>11</strong>319/09/2008 301331 503634 5 S<strong>and</strong> 21808 20919/09/2008 301367 503595 8 S<strong>and</strong> 6843 23819/09/2008 301415 503540 4 S<strong>and</strong> 23 13400423/09/2008 301957 503234 15 S<strong>and</strong> 43707 34023/09/2008 302005 503186 1 S<strong>and</strong> 26 7990123/09/2008 301623 503590 9 S<strong>and</strong> 7932 <strong>11</strong>623/09/2008 301723 503492 14 S<strong>and</strong> 22905 18723/09/2008 301666 503562 7 S<strong>and</strong> 27413 19624/09/2008 302176 502947 1 S<strong>and</strong> 9203 22725/09/2008 301251 504248 20 S<strong>and</strong> 48814 26625/09/2008 301363 504096 20 S<strong>and</strong> 88025 35230/09/2008 300950 504639 10 S<strong>and</strong> 259023 73206/10/2008 301670 503545 8 S<strong>and</strong> 15203 15208/10/2008 301728 503503 3 S<strong>and</strong> 9422 17315/10/2008 300412 504721 5 S<strong>and</strong> 5060 9616/10/2008 300412 504795 0 S<strong>and</strong> 5040 8716/10/2008 301040 504496 10 S<strong>and</strong> 32203 21017/10/2008 30<strong>11</strong>85 504294 10 S<strong>and</strong> <strong>11</strong>500 12120/10/2008 301352 503907 20 S<strong>and</strong> 83707 43520/10/2008 301340 503929 15 S<strong>and</strong> 63606 39220/10/2008 301366 504075 3 S<strong>and</strong> 23602 24720/10/2008 301322 504144 6 S<strong>and</strong> 14202 14821/10/2008 301265 504210 4 S<strong>and</strong> 12401 14321/10/2008 30<strong>11</strong>43 504351 12 S<strong>and</strong> 30205 24321/10/2008 301232 504244 4 S<strong>and</strong> 14202 17021/10/2008 301222 504246 7 S<strong>and</strong> 16903 18222/10/2008 301451 503993 10 Shingle 21602 20222/10/2008 301474 503960 4 Shingle 30405 23522/10/2008 301443 503997 10 Shingle 48708 43022/10/2008 3014<strong>11</strong> 503810 12 S<strong>and</strong> <strong>11</strong>404 <strong>11</strong>723/10/2008 301716 503614 3 S<strong>and</strong> 9743 10623/10/2008 302304 502852 9 Pebbles 25409 19823/10/2008 301691 503493 7 S<strong>and</strong> 15005 18723/10/2008 301642 503562 10 S<strong>and</strong> 48517 29224/10/2008 301704 503574 20 S<strong>and</strong> 184052 52524/10/2008 301651 503576 20 S<strong>and</strong> 87825 391024/10/2008 301666 503551 5 S<strong>and</strong> 9173 61224/10/2008 301594 503591 4 S<strong>and</strong> 22808 16927/10/2008 301977 5032<strong>11</strong> 10 S<strong>and</strong> 9321 18127/10/2008 300666 504815 6 S<strong>and</strong> 5661 9347


27/10/2008 302058 503065 5 S<strong>and</strong> 12802 25428/10/2008 301567 5036<strong>11</strong> 12 S<strong>and</strong> 20803 18428/10/2008 301598 503589 6 S<strong>and</strong> 2630 6829/10/2008 301956 503246 9 S<strong>and</strong> 27803 22230/10/2008 300457 504948 5 S<strong>and</strong> 120 189 1710831/10/2008 301330 503496 5 S<strong>and</strong> 8652 <strong>11</strong>331/10/2008 300424 5048<strong>11</strong> 0 S<strong>and</strong> 24 8740131/10/2008 30<strong>11</strong>70 503730 4 S<strong>and</strong> 26508 22831/10/2008 301475 503732 15 S<strong>and</strong> 25307 46003/<strong>11</strong>/2008 301078 504333 20 S<strong>and</strong> 702<strong>11</strong> 40420/<strong>11</strong>/2008 301696 503514 4 S<strong>and</strong> 9881 15520/<strong>11</strong>/2008 301643 503574 17 S<strong>and</strong> 12101 16920/<strong>11</strong>/2008 301724 503537 20 S<strong>and</strong> 169047 60420/<strong>11</strong>/2008 301655 503587 3 S<strong>and</strong> 29 8130220/<strong>11</strong>/2008 301705 503564 5 S<strong>and</strong> 13505 15520/<strong>11</strong>/2008 301670 503554 <strong>11</strong> S<strong>and</strong> 134055 63220/<strong>11</strong>/2008 301715 503516 13 S<strong>and</strong> 43221 27120/<strong>11</strong>/2008 301670 503569 15 S<strong>and</strong> 72839 37320/<strong>11</strong>/2008 301930 503262 30 S<strong>and</strong> 624454 <strong>11</strong>8020/<strong>11</strong>/2008 301697 503540 5 S<strong>and</strong> 41430 28521/<strong>11</strong>/2008 301708 503619 9 S<strong>and</strong> 25 7140421/<strong>11</strong>/2008 301673 503570 7 S<strong>and</strong> 42531 30021/<strong>11</strong>/2008 301932 503255 7 S<strong>and</strong> 12210 15321/<strong>11</strong>/2008 301800 503322 10 S<strong>and</strong> 43938 28521/<strong>11</strong>/2008 301759 503429 10 S<strong>and</strong> 37635 21721/<strong>11</strong>/2008 301727 503473 5 S<strong>and</strong> 8730 12424/<strong>11</strong>/2008 302137 503009 7 S<strong>and</strong> 29629 22524/<strong>11</strong>/2008 301295 503773 3 S<strong>and</strong> 12413 15124/<strong>11</strong>/2008 301323 503751 16 S<strong>and</strong> 49051 29524/<strong>11</strong>/2008 301297 503793 6 S<strong>and</strong> 7408 13024/<strong>11</strong>/2008 302277 502817 6 S<strong>and</strong> 7971 12625/<strong>11</strong>/2008 302288 502842 7 Shingle 17023 18225/<strong>11</strong>/2008 302140 502975 4 S<strong>and</strong> 5778 19525/<strong>11</strong>/2008 302247 502840 30 S<strong>and</strong>/Pebbles 26 10927/<strong>11</strong>/2008 301336 504<strong>11</strong>2 4 S<strong>and</strong> 17553 30927/<strong>11</strong>/2008 301298 504157 9 S<strong>and</strong> 12839 47828/<strong>11</strong>/2008 301440 503809 8 S<strong>and</strong> 4212 15528/<strong>11</strong>/2008 301440 503804 4 S<strong>and</strong> 7422 19828/<strong>11</strong>/2008 301441 503804 4 S<strong>and</strong> 9428 24728/<strong>11</strong>/2008 301457 503770 4 S<strong>and</strong> 6259 29201/12/2008 301280 504090 2 S<strong>and</strong> 8133 23101/12/2008 301487 503728 20 S<strong>and</strong> 29382 41901/12/2008 301458 503781 3 S<strong>and</strong> 5476 13101/12/2008 301431 503868 3 S<strong>and</strong> 4994 34548


02/12/2008 301560 503634 3 S<strong>and</strong> 8091 72302/12/2008 301585 503614 1 S<strong>and</strong> 20148 16702/12/2008 301277 503979 4 S<strong>and</strong> 9493 <strong>11</strong>103/12/2008 300478 504920 6 S<strong>and</strong> 10227 26904/12/2008 300688 504884 7 S<strong>and</strong> 16142 33104/12/2008 301096 504436 10 Shingle 41408 48304/12/2008 301073 504468 3 Shingle 43313 50908/12/2008 300936 504505 0 S<strong>and</strong> 4651 19308/12/2008 301201 503873 9 S<strong>and</strong> 5383 21209/12/2008 301551 503862 9 Shingle 32742 27109/12/2008 301392 504079 12 S<strong>and</strong> 64383 36109/12/2008 301336 504152 9 Shingle 31645 23109/12/2008 301662 503717 3 Pebbles 5828 10809/12/2008 301473 503964 8 Shingle 29141 22709/12/2008 301492 503934 0 Shingle 17527 23209/12/2008 301391 503743 6 S<strong>and</strong> 4961 16609/12/2008 301333 503827 7 S<strong>and</strong> 14734 30909/12/2008 301364 503778 6 S<strong>and</strong> 19445 33509/12/2008 301038 504026 0 S<strong>and</strong> 6044 23609/12/2008 301414 503694 17 S<strong>and</strong> 25840 21509/12/2008 301065 504069 3 S<strong>and</strong> 4807 <strong>11</strong>009/12/2008 30<strong>11</strong>23 503997 0 S<strong>and</strong> 22 5140710/12/2008 301602 503784 3 Shingle 13520 21410/12/2008 301627 503749 2 Shingle 5240 8910/12/2008 301426 504013 0 S<strong>and</strong> 25 6670910/12/2008 301284 504198 8 S<strong>and</strong> 21850 40710/12/2008 301555 503838 4 Shingle 22042 25410/12/2008 301470 503943 4 Shingle 74271 69210/12/2008 301235 504259 5 S<strong>and</strong> <strong>11</strong>9275 010/12/2008 301585 503795 6 Shingle 29<strong>11</strong>6 23<strong>11</strong>0/12/2008 301523 503875 5 Shingle 13306 16<strong>11</strong>0/12/2008 301234 504249 5 S<strong>and</strong> 37286 50410/12/2008 30<strong>11</strong>66 503965 5 S<strong>and</strong> 7708 25210/12/2008 301398 503689 23 S<strong>and</strong> 76137 31610/12/2008 301208 503908 <strong>11</strong> S<strong>and</strong> 23042 19<strong>11</strong>0/12/2008 301357 503745 4 S<strong>and</strong> 12307 77610/12/2008 30<strong>11</strong>38 504005 3 S<strong>and</strong> 25759 42610/12/2008 301328 503786 4 S<strong>and</strong> <strong>11</strong>527 28510/12/2008 30<strong>11</strong>12 504046 3 S<strong>and</strong> 8720 252<strong>11</strong>/12/2008 30<strong>11</strong>66 504345 3 S<strong>and</strong> 42395 530<strong>11</strong>/12/2008 301204 504300 2 S<strong>and</strong> 8960 24712/12/2008 300396 505098 9 S<strong>and</strong> 5973 20712/12/2008 3003<strong>11</strong> 505240 0 S<strong>and</strong> 30 4390812/12/2008 301270 504236 5 Shingle 15535 28849


16/01/2009 301522 503320 7 S<strong>and</strong> 36708 45616/01/2009 301487 503413 6 S<strong>and</strong> 4201 16519/01/2009 301627 503665 5 S<strong>and</strong> 13813 3<strong>11</strong>19/01/2009 301633 503658 2 S<strong>and</strong> 5942 19719/01/2009 301645 503646 6 S<strong>and</strong> 16<strong>11</strong>5 35219/01/2009 301637 503653 12 S<strong>and</strong> 31529 75020/01/2009 301268 504121 13 S<strong>and</strong> 22219 35420/01/2009 30<strong>11</strong>78 504067 2 S<strong>and</strong> 26 1650<strong>11</strong>20/01/2009 30<strong>11</strong>99 504032 4 S<strong>and</strong> 28 <strong>11</strong>700820/01/2009 301901 503302 10 S<strong>and</strong> 54647 56120/01/2009 302023 503170 6 Shingle 3<strong>11</strong>27 42821/01/2009 301681 503589 10 S<strong>and</strong> 51708 83021/01/2009 301588 503693 5 S<strong>and</strong> 6886 23421/01/2009 301610 503662 10 S<strong>and</strong> 39306 42121/01/2009 301637 503619 <strong>11</strong> S<strong>and</strong> 26404 36921/01/2009 301655 503595 0 S<strong>and</strong> 36 10200621/01/2009 301685 503529 0 S<strong>and</strong> 25704 34729/01/2009 301672 503513 3 S<strong>and</strong> 4181 19130/01/2009 301670 503528 <strong>11</strong> S<strong>and</strong> <strong>11</strong>503 205003/02/2009 300904 504598 1 S<strong>and</strong> 44 7720006/02/2009 301572 503689 <strong>11</strong> S<strong>and</strong> 10807 27806/02/2009 301566 503694 18 S<strong>and</strong> 21013 39006/02/2009 301539 503719 2 S<strong>and</strong> 10807 28106/02/2009 301564 503684 12 S<strong>and</strong> 59337 58006/02/2009 301502 503834 7 S<strong>and</strong> 55835 57106/02/2009 301480 503826 6 S<strong>and</strong> 14109 30006/02/2009 301463 503895 2 S<strong>and</strong> 45 597009/02/2009 300599 505204 4 S<strong>and</strong> 14807 35909/02/2009 300549 505258 13 S<strong>and</strong> 58737 35010/02/2009 300637 504963 5 S<strong>and</strong> 20509 416<strong>11</strong>/02/2009 300694 504947 1 S<strong>and</strong> 55 5380<strong>11</strong>2/02/2009 300580 504847 2 S<strong>and</strong> 7933 25912/02/2009 300666 504977 0 S<strong>and</strong> 25 9890217/02/2009 300745 504780 7 S<strong>and</strong> 7304 27818/02/2009 300465 505144 6 S<strong>and</strong> <strong>11</strong>805 30718/02/2009 300470 505139 0 S<strong>and</strong> <strong>11</strong>234 25219/02/2009 300257 505418 7 S<strong>and</strong> 10904 34727/04/2009 300581 504607 9 S<strong>and</strong> 6031 22728/04/2009 301083 504518 12 Pebbles 69908 76128/04/2009 301097 504496 10 Pebbles 7961 28528/04/2009 301655 503766 15 Pebbles 175019 126029/04/2009 300109 505388 6 S<strong>and</strong> 80 125 620929/04/2009 3003<strong>11</strong> 505400 1 S<strong>and</strong> 25 7130230/04/2009 300036 505455 10 S<strong>and</strong> 3350 15050


30/04/2009 300033 505424 5 S<strong>and</strong> 9701 24326/05/2009 301263 504266 6 Pebbles 18601 33026/05/2009 301379 504<strong>11</strong>1 6 Pebbles 24902 39726/05/2009 301471 503988 8 Pebbles 30402 42128/05/2009 301097 504128 12 S<strong>and</strong> 37103 47628/05/2009 30<strong>11</strong>81 504058 15 S<strong>and</strong> 47418 57828/05/2009 30<strong>11</strong>95 504063 2 S<strong>and</strong> 9424 27329/05/2009 302037 503135 10 S<strong>and</strong> 10103 26229/05/2009 302141 503004 9 S<strong>and</strong> 10303 51629/05/2009 302106 503062 3 S<strong>and</strong> 6542 21529/05/2009 301944 503261 1 S<strong>and</strong> 7582 23617/06/2009 301649 503553 10 S<strong>and</strong> 26401 43318/06/2009 301910 503287 9 S<strong>and</strong> 22801 40918/06/2009 301488 503512 10 S<strong>and</strong> 24501 51418/06/2009 3015<strong>11</strong> 503385 3 S<strong>and</strong> 6870 760018/06/2009 301463 503464 14 S<strong>and</strong> 104006 84418/06/2009 301472 503502 9 S<strong>and</strong> <strong>11</strong>401 29218/06/2009 301531 503689 3 S<strong>and</strong> 122 206 1626319/06/2009 301604 503665 4 S<strong>and</strong> 6194 23122/06/2009 301561 503242 5 S<strong>and</strong> 4243 18922/06/2009 301600 503637 10 S<strong>and</strong> 152<strong>11</strong> 33823/06/2009 301524 5039<strong>11</strong> 5 Pebbles 14408 023/06/2009 301847 503484 6 Pebbles 194<strong>11</strong> 38520/07/2009 301715 503568 20 S<strong>and</strong> 80209 78020/07/2009 301695 503240 3 S<strong>and</strong> 32704 49720/07/2009 301658 503260 5 S<strong>and</strong> 9131 25221/07/2009 300937 504595 1 S<strong>and</strong> 18803 021/07/2009 30<strong>11</strong>65 504041 4 S<strong>and</strong> 15003 31921/07/2009 301235 504005 2 S<strong>and</strong> 84 132 716723/07/2009 30<strong>11</strong>83 503709 18 S<strong>and</strong> 62416 70123/07/2009 301404 503412 7 S<strong>and</strong> 40210 52823/07/2009 301458 503323 10 S<strong>and</strong> 57615 105023/07/2009 301361 503331 10 S<strong>and</strong> 18605 34023/07/2009 301087 503497 8 S<strong>and</strong> 428<strong>11</strong> 108023/07/2009 301421 503399 9 S<strong>and</strong> 15404 45123/07/2009 301438 503383 8 S<strong>and</strong> 13303 32323/07/2009 301478 503332 8 S<strong>and</strong> 4671 31723/07/2009 301448 503373 4 S<strong>and</strong> 9252 25923/07/2009 301670 503593 3 S<strong>and</strong> 10603 25724/07/2009 301679 502915 2 S<strong>and</strong> <strong>11</strong>302 28324/07/2009 301618 502907 0 S<strong>and</strong> 28806 43024/07/2009 301792 502858 3 S<strong>and</strong> 30 1640<strong>11</strong>9/08/2009 300462 505151 3 S<strong>and</strong> 17901 <strong>11</strong>5020/08/2009 300503 504860 4 S<strong>and</strong> 12500 30251


22/09/2009 301787 503592 7 Pebbles 19408 37322/09/2009 300177 505627 0 S<strong>and</strong> 30 <strong>11</strong>30022/09/2009 300250 505506 4 S<strong>and</strong> 26 5130123/09/2009 300525 504824 2 S<strong>and</strong> 28 3600123/09/2009 300664 504860 3 S<strong>and</strong> 30 3750123/09/2009 300704 5049<strong>11</strong> 2 S<strong>and</strong> 28 1990124/09/2009 300666 504851 2 S<strong>and</strong> 27 1380024/09/2009 300608 504933 2 S<strong>and</strong> 31 3010124/09/2009 300527 504849 3 S<strong>and</strong> 7132 21824/09/2009 300528 504880 2 S<strong>and</strong> 28 1790124/09/2009 300574 504863 1 S<strong>and</strong> 24 5870224/09/2009 300660 504877 3 S<strong>and</strong> 24 2000124/09/2009 300726 504872 8 S<strong>and</strong> 28 1250124/09/2009 300775 504874 9 S<strong>and</strong> 22306 37625/09/2009 301664 503531 4 S<strong>and</strong> 27 <strong>11</strong>40125/09/2009 301749 503434 1 S<strong>and</strong> 35 <strong>11</strong>60126/09/2009 302094 503151 3 Pebbles 20916 39726/09/2009 301659 503770 3 Pebbles 41231 62529/09/2009 300299 505468 5 S<strong>and</strong> 27 4180229/09/2009 300317 505431 3 S<strong>and</strong> <strong>11</strong>907 30429/09/2009 300202 505364 5 S<strong>and</strong> 27 3120229/09/2009 300282 505361 5 S<strong>and</strong> 35 4720227/10/2009 300846 504499 2 S<strong>and</strong> 27 9720327/10/2009 300834 504566 2 S<strong>and</strong> 33 2950127/10/2009 300823 504599 1 S<strong>and</strong> 27 2820127/10/2009 300890 504684 1 S<strong>and</strong> 20 1230027/10/2009 300932 504609 3 S<strong>and</strong> 29 1320128/10/2009 300557 505128 2 S<strong>and</strong> 29 2300128/10/2009 300566 505094 6 S<strong>and</strong> 30 9860428/10/2009 300549 505107 2 S<strong>and</strong> 34 984028/10/2009 300530 505103 3 S<strong>and</strong> 34 2400128/10/2009 300519 505108 3 S<strong>and</strong> 30 3140128/10/2009 300500 505131 5 S<strong>and</strong> 30 2600128/10/2009 300483 505127 2 S<strong>and</strong> 25 1000128/10/2009 300453 505153 3 S<strong>and</strong> 20 2320228/10/2009 300485 505176 2 S<strong>and</strong> 29 2560228/10/2009 300489 505178 3 S<strong>and</strong> 29 1540129/10/2009 301627 503628 12 S<strong>and</strong> 45237 91329/10/2009 301640 503328 7 S<strong>and</strong> 308251 107729/10/2009 301620 503352 9 S<strong>and</strong> 18523 32829/10/2009 301647 503338 <strong>11</strong> S<strong>and</strong> 10514 28529/10/2009 301619 503604 10 S<strong>and</strong> 10814 27630/<strong>11</strong>/2009 300700 504860 2 S<strong>and</strong> 21 4050404/02/<strong>2010</strong> 301906 503296 3 S<strong>and</strong> 83501 69752


08/02/<strong>2010</strong> 30<strong>11</strong>71 504108 3 S<strong>and</strong> 25 3810008/02/<strong>2010</strong> 300548 504910 2 S<strong>and</strong> 29 3540008/02/<strong>2010</strong> 300529 505164 4 S<strong>and</strong> 33 2050008/02/<strong>2010</strong> 300514 505175 2 S<strong>and</strong> 22 2070008/02/<strong>2010</strong> 300528 505129 2 S<strong>and</strong> 26 769009/02/<strong>2010</strong> 300635 504957 2 S<strong>and</strong> 22 1230009/02/<strong>2010</strong> 300669 504891 2 S<strong>and</strong> 21 3200009/02/<strong>2010</strong> 300539 504845 3 S<strong>and</strong> 29 3560109/02/<strong>2010</strong> 300514 504862 3 S<strong>and</strong> 29 2270<strong>11</strong>0/02/<strong>2010</strong> 300690 504867 3 S<strong>and</strong> 28 2260<strong>11</strong>0/02/<strong>2010</strong> 300596 504872 3 S<strong>and</strong> 28 2040<strong>11</strong>0/02/<strong>2010</strong> 300539 504809 3 S<strong>and</strong> 29 2900<strong>11</strong>0/02/<strong>2010</strong> 300544 504798 2 S<strong>and</strong> 28 2580<strong>11</strong>0/02/<strong>2010</strong> 300640 504852 1 S<strong>and</strong> 29 124000<strong>11</strong>/02/<strong>2010</strong> 300744 504862 2 S<strong>and</strong> 31 2310<strong>11</strong>1/02/<strong>2010</strong> 300447 504841 1 S<strong>and</strong> 31 35602<strong>11</strong>/03/<strong>2010</strong> 301595 503680 2 S<strong>and</strong> 32937 537<strong>11</strong>/03/<strong>2010</strong> 301592 503678 5 S<strong>and</strong> 22626 404<strong>11</strong>/03/<strong>2010</strong> 301667 503531 2 S<strong>and</strong> 26 52808<strong>11</strong>/03/<strong>2010</strong> 301448 503562 6 S<strong>and</strong> 14216 333<strong>11</strong>/03/<strong>2010</strong> 301399 503542 5 S<strong>and</strong> 3<strong>11</strong>35 46<strong>11</strong>2/03/<strong>2010</strong> 301600 503677 4 S<strong>and</strong> 27 25203812/03/<strong>2010</strong> 301583 503701 4 S<strong>and</strong> 29 3380512/03/<strong>2010</strong> 301598 503690 4 S<strong>and</strong> 26 2410412/03/<strong>2010</strong> 301592 503701 2 S<strong>and</strong> 22 4170712/03/<strong>2010</strong> 301646 503637 17 S<strong>and</strong> 15<strong>11</strong>6 35212/03/<strong>2010</strong> 301432 503565 2 S<strong>and</strong> 25 2070412/03/<strong>2010</strong> 301362 503500 2 S<strong>and</strong> 41244 54012/03/<strong>2010</strong> 301344 503523 3 S<strong>and</strong> 17<strong>11</strong>8 54012/03/<strong>2010</strong> 301349 503515 3 S<strong>and</strong> 26 244012/03/<strong>2010</strong> 301355 503505 2 S<strong>and</strong> 16417 36615/03/<strong>2010</strong> 301615 503708 1 S<strong>and</strong> 24 3350615/03/<strong>2010</strong> 301353 503503 5 S<strong>and</strong> 37233 015/03/<strong>2010</strong> 301465 503832 3 S<strong>and</strong> 31 4<strong>11</strong>0715/03/<strong>2010</strong> 301480 503813 2 S<strong>and</strong> 32 4980815/03/<strong>2010</strong> 301356 503499 2 S<strong>and</strong> 40836 53715/03/<strong>2010</strong> 301400 503431 13 S<strong>and</strong> 20618 42316/03/<strong>2010</strong> 301521 503776 10 S<strong>and</strong> 13212 31416/03/<strong>2010</strong> 301545 503746 <strong>11</strong> S<strong>and</strong> 50244 60616/03/<strong>2010</strong> 301485 503539 4 S<strong>and</strong> 24 2910516/03/<strong>2010</strong> 301351 503491 3 S<strong>and</strong> 21 2610416/03/<strong>2010</strong> 301345 503498 3 S<strong>and</strong> 7166 77216/03/<strong>2010</strong> 301350 503492 4 S<strong>and</strong> 9929 64517/03/<strong>2010</strong> 301427 503538 2 S<strong>and</strong> 24 2950553


17/03/<strong>2010</strong> 301446 503542 2 S<strong>and</strong> 26 1820417/03/<strong>2010</strong> 301432 503559 2 S<strong>and</strong> 25 12802717/03/<strong>2010</strong> 301553 503757 5 S<strong>and</strong> 6656 19817/03/<strong>2010</strong> 301537 503781 3 S<strong>and</strong> 6035 20817/03/<strong>2010</strong> 301534 503797 2 S<strong>and</strong> 27 1500317/03/<strong>2010</strong> 301516 503821 15 S<strong>and</strong> 15649 53017/03/<strong>2010</strong> 301554 503774 0 S<strong>and</strong> 28 2170518/03/<strong>2010</strong> 301234 503701 12 S<strong>and</strong> 24818 018/03/<strong>2010</strong> 301381 504036 1 S<strong>and</strong> 28 3590818/03/<strong>2010</strong> 301369 504076 0 S<strong>and</strong> 23 3550818/03/<strong>2010</strong> 301285 504140 2 S<strong>and</strong> 25820 101019/03/<strong>2010</strong> 301209 503742 3 S<strong>and</strong> 26 2020419/03/<strong>2010</strong> 301077 504258 0 S<strong>and</strong> 24 4150904/05/<strong>2010</strong> 300574 504768 2 S<strong>and</strong> 22319 36104/05/<strong>2010</strong> 300505 504756 3 S<strong>and</strong> 25 4450304/05/<strong>2010</strong> 300492 504790 2 S<strong>and</strong> 32 1640104/05/<strong>2010</strong> 300574 504808 1 S<strong>and</strong> 31 2190104/05/<strong>2010</strong> 300606 504783 1 S<strong>and</strong> 29 5160304/05/<strong>2010</strong> 300602 504876 8 S<strong>and</strong> 27 <strong>11</strong>100705/05/<strong>2010</strong> 300281 505593 2 S<strong>and</strong> 28 3500205/05/<strong>2010</strong> 300205 505520 1 S<strong>and</strong> 32 2<strong>11</strong>0105/05/<strong>2010</strong> 300<strong>11</strong>6 505514 2 S<strong>and</strong> 28 5850405/05/<strong>2010</strong> 300188 505554 4 S<strong>and</strong> 29 15<strong>2010</strong>5/05/<strong>2010</strong> 300276 505450 1 S<strong>and</strong> 29 1760105/05/<strong>2010</strong> 300309 505435 1 S<strong>and</strong> 30 3050205/05/<strong>2010</strong> 300315 505431 2 S<strong>and</strong> 34 1230105/05/<strong>2010</strong> 300287 505469 2 S<strong>and</strong> 28 1350105/05/<strong>2010</strong> 300226 505676 1 S<strong>and</strong> 24 62<strong>11</strong>06/05/<strong>2010</strong> 300381 505405 7 S<strong>and</strong> 19624 17906/05/<strong>2010</strong> 300385 505257 1 S<strong>and</strong> 29 2070206/05/<strong>2010</strong> 301732 503415 4 S<strong>and</strong> 37145 25206/05/<strong>2010</strong> 301725 503424 2 S<strong>and</strong> 25 6<strong>11</strong>0506/05/<strong>2010</strong> 301654 503204 2 S<strong>and</strong> 25 4640406/05/<strong>2010</strong> 301710 503473 1 S<strong>and</strong> 25 1820206/05/<strong>2010</strong> 301670 503491 18 S<strong>and</strong> 74293 30406/05/<strong>2010</strong> 301636 503587 1 S<strong>and</strong> 23 3940307/05/<strong>2010</strong> 301784 503541 2 S<strong>and</strong> 26 4140407/05/<strong>2010</strong> 3018<strong>11</strong> 503492 0 S<strong>and</strong> 21426 27301/06/<strong>2010</strong> 301399 503475 13 S<strong>and</strong> 40634 26401/06/<strong>2010</strong> 301370 503419 5 S<strong>and</strong> 14009 32301/06/<strong>2010</strong> 301400 503482 9 S<strong>and</strong> 6164 22301/06/<strong>2010</strong> 301358 503535 1 S<strong>and</strong> 21 6090401/06/<strong>2010</strong> 301340 503565 2 S<strong>and</strong> 21 5210301/06/<strong>2010</strong> 301356 503587 13 S<strong>and</strong> 34833 25054


02/06/<strong>2010</strong> 301552 503644 1 S<strong>and</strong> 30 1970102/06/<strong>2010</strong> 301519 503685 2 S<strong>and</strong> 24 6740402/06/<strong>2010</strong> 301510 503716 8 S<strong>and</strong> 16109 32802/06/<strong>2010</strong> 301666 503637 2 S<strong>and</strong> 4573 <strong>2010</strong>2/06/<strong>2010</strong> 301641 503668 2 S<strong>and</strong> 10406 55202/06/<strong>2010</strong> 301550 503784 1 S<strong>and</strong> 29 4440302/06/<strong>2010</strong> 301664 503643 1 S<strong>and</strong> 7414 23303/06/<strong>2010</strong> 301568 503765 2 S<strong>and</strong> 27 7730503/06/<strong>2010</strong> 301577 503753 3 S<strong>and</strong> 4762 21603/06/<strong>2010</strong> 301640 503682 2 S<strong>and</strong> 29 3340203/06/<strong>2010</strong> 301589 503741 2 S<strong>and</strong> 9005 28103/06/<strong>2010</strong> 301612 503714 20 S<strong>and</strong> 73839 76803/06/<strong>2010</strong> 301493 503551 1 S<strong>and</strong> 31 3880303/06/<strong>2010</strong> 301377 503541 2 S<strong>and</strong> 30 3570203/06/<strong>2010</strong> 301447 503554 1 S<strong>and</strong> 27 2840203/06/<strong>2010</strong> 301650 503677 3 S<strong>and</strong> 8885 26903/06/<strong>2010</strong> 301591 503744 1 S<strong>and</strong> 24 2750204/06/<strong>2010</strong> 301493 503818 1 S<strong>and</strong> 28 3<strong>11</strong>0204/06/<strong>2010</strong> 301489 503831 4 S<strong>and</strong> 29 1290104/06/<strong>2010</strong> 301303 503741 2 S<strong>and</strong> 8254 24704/06/<strong>2010</strong> 301309 503644 3 S<strong>and</strong> 17308 34504/06/<strong>2010</strong> 301227 503746 2 S<strong>and</strong> 29 5120428/06/<strong>2010</strong> 302162 502949 2 S<strong>and</strong> 6901 22129/06/<strong>2010</strong> 301963 502982 9 Shingle 55 61800129/06/<strong>2010</strong> 302002 503023 2 Shingle 25 4270001/07/<strong>2010</strong> 302<strong>11</strong>6 502806 25 S<strong>and</strong>/Shingle 37 9102/07/<strong>2010</strong> 301677 503255 0 Pebbles 27 3890102/07/<strong>2010</strong> 302256 502874 1 S<strong>and</strong> 23 2390002/08/<strong>2010</strong> 300595 504934 0 S<strong>and</strong> 23 2670002/08/<strong>2010</strong> 300618 504940 1 S<strong>and</strong> 29 2680002/08/<strong>2010</strong> 300664 504975 1 S<strong>and</strong> 25 2480003/08/<strong>2010</strong> 300756 504932 1 S<strong>and</strong> 29 3630003/08/<strong>2010</strong> 300740 504854 0 S<strong>and</strong> 29 2910003/08/<strong>2010</strong> 300478 505167 1 S<strong>and</strong> 20 964003/08/<strong>2010</strong> 300407 505<strong>11</strong>4 2 S<strong>and</strong> 19 3850103/08/<strong>2010</strong> 300392 505040 0 S<strong>and</strong> 29 1400003/08/<strong>2010</strong> 300423 505034 1 S<strong>and</strong> 28 8260203/08/<strong>2010</strong> 300476 505147 2 S<strong>and</strong> 24 3530103/08/<strong>2010</strong> 300528 505134 1 S<strong>and</strong> 22 1450004/08/<strong>2010</strong> 300637 504966 0 S<strong>and</strong> 19 6120204/08/<strong>2010</strong> 300726 504894 0 S<strong>and</strong> 34 4730204/08/<strong>2010</strong> 300717 504908 0 S<strong>and</strong> 25 1500105/08/<strong>2010</strong> 300446 505047 1 S<strong>and</strong> 26 1390005/08/<strong>2010</strong> 300593 505127 0 S<strong>and</strong> 21 1230055


31/08/<strong>2010</strong> 300219 505597 0 S<strong>and</strong> 33 <strong>11</strong>90031/08/<strong>2010</strong> 30<strong>11</strong>76 504175 1 S<strong>and</strong> 41 3430001/09/<strong>2010</strong> 301005 504353 1 S<strong>and</strong> 31 3250001/09/<strong>2010</strong> 301031 504347 0 S<strong>and</strong> 32 1460001/09/<strong>2010</strong> 301453 503947 4 S<strong>and</strong> 10501 28501/09/<strong>2010</strong> 301423 503992 30 S<strong>and</strong> 174022 <strong>11</strong>7201/09/<strong>2010</strong> 301376 504057 7 S<strong>and</strong> 17906 35202/09/<strong>2010</strong> 301382 503975 0 S<strong>and</strong> 33 1070002/09/<strong>2010</strong> 30<strong>11</strong>96 504160 10 S<strong>and</strong> 30208 47802/09/<strong>2010</strong> 301210 504148 3 S<strong>and</strong> 39 3540102/09/<strong>2010</strong> 301203 503944 4 S<strong>and</strong> 36 4600102/09/<strong>2010</strong> 30<strong>11</strong>22 504406 2 Shingle 12003 29702/09/<strong>2010</strong> 300967 504426 3 S<strong>and</strong> 35 2350103/09/<strong>2010</strong> 300917 504751 23 Pebbles 803360 237503/09/<strong>2010</strong> 301363 504142 2 Pebbles 16007 <strong>11</strong>7003/09/<strong>2010</strong> 301641 503772 8 Pebbles 59226 68503/09/<strong>2010</strong> 302103 503124 2 Pebbles <strong>11</strong>305 32303/09/<strong>2010</strong> 301313 503696 3 S<strong>and</strong> 36 9320203/09/<strong>2010</strong> 301292 503742 <strong>11</strong> S<strong>and</strong> 59226 63703/09/<strong>2010</strong> 301380 504056 2 S<strong>and</strong> 30 2090103/09/<strong>2010</strong> 301451 503954 1 S<strong>and</strong> 34 2100127/09/<strong>2010</strong> 300514 504853 S<strong>and</strong> 3910 15727/09/<strong>2010</strong> 300470 504872 S<strong>and</strong> 27 976027/09/<strong>2010</strong> 300666 504989 0 S<strong>and</strong> 30 <strong>11</strong>40027/09/<strong>2010</strong> 300752 504794 7 S<strong>and</strong> 34 5170027/09/<strong>2010</strong> 300752 504784 1 S<strong>and</strong> 36 1040027/09/<strong>2010</strong> 300778 504842 1 S<strong>and</strong> 29 1340028/09/<strong>2010</strong> 300736 504742 1 S<strong>and</strong> 34 4130128/09/<strong>2010</strong> 300670 504562 3 S<strong>and</strong> 27 4160128/09/<strong>2010</strong> 300746 504605 S<strong>and</strong> 30 4310129/09/<strong>2010</strong> 300949 504651 2 S<strong>and</strong> 30 5080129/09/<strong>2010</strong> 300976 5046<strong>11</strong> 19 S<strong>and</strong> 92436 81829/09/<strong>2010</strong> 3009<strong>11</strong> 504547 1 S<strong>and</strong> 32 1980129/09/<strong>2010</strong> 3009<strong>11</strong> 504540 3 S<strong>and</strong> 28 692029/09/<strong>2010</strong> 300957 504486 2 S<strong>and</strong> 36 <strong>11</strong>40029/09/<strong>2010</strong> 300934 504461 0 S<strong>and</strong> 27 6<strong>11</strong>0229/09/<strong>2010</strong> 300937 504485 0 S<strong>and</strong> 33 997030/09/<strong>2010</strong> 300408 505422 0 S<strong>and</strong> 36 220030/09/<strong>2010</strong> 300412 505414 2 S<strong>and</strong> 32 3660230/09/<strong>2010</strong> 300320 505539 2 S<strong>and</strong> 30 1650130/09/<strong>2010</strong> 300369 505473 0 S<strong>and</strong> 35 691030/09/<strong>2010</strong> 300167 505326 0 S<strong>and</strong> 30 1210101/10/<strong>2010</strong> 301415 504032 3 S<strong>and</strong> 34 3840326/10/<strong>2010</strong> 301765 503438 1 S<strong>and</strong> 29 1520056


26/10/<strong>2010</strong> 301780 503422 24 S<strong>and</strong> 67004 35727/10/<strong>2010</strong> 301679 503234 4 S<strong>and</strong> 34 2910027/10/<strong>2010</strong> 301594 503583 3 S<strong>and</strong> 34 5020027/10/<strong>2010</strong> 301569 503604 2 S<strong>and</strong> 6542 22027/10/<strong>2010</strong> 301702 503640 0 S<strong>and</strong> 36 2030028/10/<strong>2010</strong> 301608 503371 1 S<strong>and</strong> 30 6280128/10/<strong>2010</strong> 301635 503567 1 S<strong>and</strong> 29 1650028/10/<strong>2010</strong> 301674 503537 1 S<strong>and</strong> 33 4150128/10/<strong>2010</strong> 301814 503469 4 S<strong>and</strong> 30 1630001/<strong>11</strong>/<strong>2010</strong> 301953 503238 2 S<strong>and</strong> 34 1710001/<strong>11</strong>/<strong>2010</strong> 301613 503634 9 S<strong>and</strong> 5751 22101/<strong>11</strong>/<strong>2010</strong> 301536 503642 0 S<strong>and</strong> 30 1750001/<strong>11</strong>/<strong>2010</strong> 301568 503804 12 Shingle 14403 338Table A.3: Location <strong>and</strong> activities <strong>for</strong> particles recovered at <strong>Sellafield</strong>57


Position (BNG)Activity of recovered particle (Bq)Date x y d (cm) Substrate137 Cs241 Am60 Co29/01/2007 299910 505941 1 S<strong>and</strong> 1040130/01/2007 300063 505941 1 Shingle 1950102/<strong>11</strong>/2007 299640 506422 3 S<strong>and</strong> 5720 <strong>11</strong>405/<strong>11</strong>/2007 299762 506152 0 S<strong>and</strong> 15801 817/06/2008 299314 506557 4 S<strong>and</strong> 18601 18818/06/2008 300086 505496 6 S<strong>and</strong> 35003 <strong>11</strong>3019/09/2008 300008 505668 6 S<strong>and</strong> <strong>11</strong>503 14919/09/2008 300047 505867 8 S<strong>and</strong> 6432 <strong>11</strong>313/07/2009 300198 505698 2 S<strong>and</strong> 6591 22213/07/2009 300013 505795 4 S<strong>and</strong> 7181 23017/07/2009 300064 5058<strong>11</strong> 3 S<strong>and</strong> 25 12800207/08/2009 299668 505983 1 S<strong>and</strong> 27 3760104/<strong>11</strong>/2009 300109 505727 2 S<strong>and</strong> 25 3240204/<strong>11</strong>/2009 300104 505729 3 S<strong>and</strong> 28 15<strong>2010</strong>4/<strong>11</strong>/2009 300<strong>11</strong>7 505699 1 S<strong>and</strong> 27 77<strong>11</strong>05/<strong>11</strong>/2009 300146 505705 1 S<strong>and</strong> 24 5030305/<strong>11</strong>/2009 300<strong>11</strong>0 505759 5 S<strong>and</strong> 10509 27106/<strong>11</strong>/2009 300154 505722 3 S<strong>and</strong> 29 1880106/<strong>11</strong>/2009 300150 505730 0 S<strong>and</strong> 25 2090206/<strong>11</strong>/2009 300145 505740 2 S<strong>and</strong> 9214 18606/<strong>11</strong>/2009 300140 505757 2 S<strong>and</strong> 30 623109/<strong>11</strong>/2009 299939 505932 2 S<strong>and</strong> 27 623009/<strong>11</strong>/2009 299942 505927 2 S<strong>and</strong> 27 1970209/<strong>11</strong>/2009 299965 505927 2 S<strong>and</strong> 25 2150409/<strong>11</strong>/2009 299979 505915 2 S<strong>and</strong> 23 1450109/<strong>11</strong>/2009 300085 505854 5 S<strong>and</strong> 28 66<strong>11</strong>10/<strong>11</strong>/2009 299525 506425 7 S<strong>and</strong> 27 7970010/<strong>11</strong>/2009 299563 506481 3 S<strong>and</strong> 26 34506<strong>11</strong>/<strong>11</strong>/2009 299497 506550 4 S<strong>and</strong> 21 37506<strong>11</strong>/<strong>11</strong>/2009 299463 506521 4 S<strong>and</strong> 28 15402<strong>11</strong>/<strong>11</strong>/2009 299470 506499 5 S<strong>and</strong> 25 867<strong>11</strong>2/<strong>11</strong>/2009 300096 505865 1 S<strong>and</strong> 22 1050<strong>11</strong>2/<strong>11</strong>/2009 300<strong>11</strong>7 505837 0 S<strong>and</strong> 25 1840212/<strong>11</strong>/2009 299490 506578 3 S<strong>and</strong> 29 2590313/<strong>11</strong>/2009 300088 505872 1 S<strong>and</strong> 45 1450213/<strong>11</strong>/2009 300<strong>11</strong>6 505835 2 S<strong>and</strong> 33 2960313/<strong>11</strong>/2009 300015 505736 1 S<strong>and</strong> 32 3060318/<strong>11</strong>/2009 300033 505842 2 S<strong>and</strong> 29 3600319/<strong>11</strong>/2009 300058 505882 2 S<strong>and</strong> 31 5710415/02/<strong>2010</strong> 299975 505921 3 S<strong>and</strong> 27 5820315/02/<strong>2010</strong> 299972 505951 0 S<strong>and</strong> 27 3180216/02/<strong>2010</strong> 299996 505857 3 S<strong>and</strong> 29 6590258


17/02/<strong>2010</strong> 299936 505683 3 S<strong>and</strong> 29 1450<strong>11</strong>7/02/<strong>2010</strong> 2999<strong>11</strong> 505666 4 S<strong>and</strong> 7908 20417/02/<strong>2010</strong> 300097 505760 3 S<strong>and</strong> 8679 21719/02/<strong>2010</strong> 299372 506434 2 S<strong>and</strong> 25 3150201/03/<strong>2010</strong> 300136 505734 0.5 S<strong>and</strong> 31 1800001/03/<strong>2010</strong> 300108 505775 3 S<strong>and</strong> 34 13800203/03/<strong>2010</strong> 300181 505685 4 S<strong>and</strong> 25 2280004/03/<strong>2010</strong> 299951 505752 2 S<strong>and</strong> 25 4070104/03/<strong>2010</strong> 299936 505531 1 S<strong>and</strong> 22 748004/03/<strong>2010</strong> 299934 505815 3 S<strong>and</strong> 24 33<strong>2010</strong>5/03/<strong>2010</strong> 299886 505775 2.5 S<strong>and</strong> 30 <strong>11</strong>70006/03/<strong>2010</strong> 299932 506003 2 S<strong>and</strong> 26 2630206/03/<strong>2010</strong> 299932 506006 1 S<strong>and</strong> 32 2030206/03/<strong>2010</strong> 299770 505862 1 S<strong>and</strong> 26 2960306/03/<strong>2010</strong> 300002 505702 1 S<strong>and</strong> 26 1900206/03/<strong>2010</strong> 300019 505698 1 S<strong>and</strong> 29 2050207/03/<strong>2010</strong> 300059 505914 4 S<strong>and</strong> 29 2080207/03/<strong>2010</strong> 300130 505798 0.5 S<strong>and</strong> 23 1350107/03/<strong>2010</strong> 299622 506200 3 S<strong>and</strong> 12304 13807/03/<strong>2010</strong> 299670 506123 1 S<strong>and</strong> 25 5340607/03/<strong>2010</strong> 299565 506417 3 S<strong>and</strong> 26 2120307/03/<strong>2010</strong> 299595 506392 4 S<strong>and</strong> 28 1640207/03/<strong>2010</strong> 300107 505814 1 S<strong>and</strong> 31 2580407/03/<strong>2010</strong> 300057 505877 2 S<strong>and</strong> 27 3090408/03/<strong>2010</strong> 299505 506504 3 S<strong>and</strong> 21 1250008/03/<strong>2010</strong> 299501 506483 4 S<strong>and</strong> 29 1460108/03/<strong>2010</strong> 299509 506550 5 S<strong>and</strong> 34 2640108/03/<strong>2010</strong> 299504 506582 6 S<strong>and</strong> 84 159 892209/03/<strong>2010</strong> 299714 506341 2 S<strong>and</strong> 25 1550109/03/<strong>2010</strong> 299612 506420 0 S<strong>and</strong> 24 4140209/03/<strong>2010</strong> 299437 506534 2 S<strong>and</strong> 28 12600809/03/<strong>2010</strong> 299445 506528 1 S<strong>and</strong> 24 1440209/03/<strong>2010</strong> 299604 506462 3 S<strong>and</strong> 8782 33810/03/<strong>2010</strong> 299565 506505 3 S<strong>and</strong> 22 3<strong>11</strong>0519/05/<strong>2010</strong> 300143 505738 3 S<strong>and</strong> 33 1750<strong>11</strong>9/05/<strong>2010</strong> 300139 505718 10 S<strong>and</strong> 25 2460<strong>11</strong>9/05/<strong>2010</strong> 300062 505603 2 S<strong>and</strong> 30 1890<strong>11</strong>9/05/<strong>2010</strong> 299984 505692 1 S<strong>and</strong> 24 <strong>11</strong>10<strong>11</strong>9/05/<strong>2010</strong> 300034 505612 2 S<strong>and</strong> 26 2470<strong>11</strong>9/05/<strong>2010</strong> 300196 505695 4 S<strong>and</strong> 23 3930219/05/<strong>2010</strong> 300142 505767 4 S<strong>and</strong> 28 2830221/05/<strong>2010</strong> 300049 505839 7 S<strong>and</strong> 26 7200424/05/<strong>2010</strong> 300184 505717 3 S<strong>and</strong> 20 3970224/05/<strong>2010</strong> 300024 505886 3 S<strong>and</strong> 22 2880159


24/05/<strong>2010</strong> 299805 505799 3 S<strong>and</strong> 30 2160124/05/<strong>2010</strong> 299746 505865 3 S<strong>and</strong> 25 3000124/05/<strong>2010</strong> 299985 505780 5 S<strong>and</strong> 8761 12825/05/<strong>2010</strong> 299935 506036 1 S<strong>and</strong> 28 5080225/05/<strong>2010</strong> 299964 505992 1 S<strong>and</strong> 30 1360125/05/<strong>2010</strong> 299926 506019 1 S<strong>and</strong> 24 3800225/05/<strong>2010</strong> 299994 505935 3 S<strong>and</strong> 15715 17325/05/<strong>2010</strong> 299933 505989 3 S<strong>and</strong> 22 4150325/05/<strong>2010</strong> 299954 505963 1 S<strong>and</strong> 24 489026/05/<strong>2010</strong> 299678 506078 2 S<strong>and</strong> 15<strong>11</strong>5 70926/05/<strong>2010</strong> 299713 506067 2 S<strong>and</strong> 25 1020126/05/<strong>2010</strong> 299641 506201 1 S<strong>and</strong> 27 996127/05/<strong>2010</strong> 299738 506019 10 S<strong>and</strong> 21721 39527/05/<strong>2010</strong> 299710 506091 1 S<strong>and</strong> 26 1850128/05/<strong>2010</strong> 299728 506132 2 S<strong>and</strong> 29 <strong>11</strong>70009/06/<strong>2010</strong> 299547 506458 2 S<strong>and</strong> 30 1470109/06/<strong>2010</strong> 299618 506130 1 S<strong>and</strong> 24 2760209/06/<strong>2010</strong> 299603 506143 4 S<strong>and</strong> 31 9150610/06/<strong>2010</strong> 299626 506387 1 S<strong>and</strong> 27 1300<strong>11</strong>0/06/<strong>2010</strong> 299644 506039 2 S<strong>and</strong> 25 29002<strong>11</strong>/06/<strong>2010</strong> 299660 506401 1 S<strong>and</strong> 25 2070<strong>11</strong>5/06/<strong>2010</strong> 299456 506502 1 S<strong>and</strong> 28 1410109/08/<strong>2010</strong> 299431 506596 2 S<strong>and</strong> 48 3560<strong>11</strong>0/08/<strong>2010</strong> 299666 506093 2 S<strong>and</strong> 51 4130<strong>11</strong>0/08/<strong>2010</strong> 299610 506412 0 S<strong>and</strong> 49 6580<strong>11</strong>/08/<strong>2010</strong> 299572 506192 1 S<strong>and</strong> 52 <strong>11</strong>700<strong>11</strong>/08/<strong>2010</strong> 299552 506257 1 S<strong>and</strong> 46 1060012/08/<strong>2010</strong> 299438 506310 1 S<strong>and</strong> 60 4650<strong>11</strong>3/08/<strong>2010</strong> 299441 506336 3 S<strong>and</strong> 31913 21316/08/<strong>2010</strong> 299462 506352 1 S<strong>and</strong> 59 429016/08/<strong>2010</strong> 299462 506437 1 S<strong>and</strong> 50 861017/08/<strong>2010</strong> 299684 506148 1 S<strong>and</strong> 57 1940018/08/<strong>2010</strong> 299744 506255 1 S<strong>and</strong> 62 1580018/08/<strong>2010</strong> 299742 506091 1 S<strong>and</strong> 55 1040018/08/<strong>2010</strong> 299740 506097 1 S<strong>and</strong> 60 1910018/08/<strong>2010</strong> 299718 506149 1 S<strong>and</strong> 58 2260<strong>11</strong>8/08/<strong>2010</strong> 299757 506<strong>11</strong>0 1 S<strong>and</strong> 32 1860018/08/<strong>2010</strong> 299705 506188 4 S<strong>and</strong> 37 1520020/08/<strong>2010</strong> 299632 506414 7 S<strong>and</strong> 31 4270123/08/<strong>2010</strong> 299980 505987 1 S<strong>and</strong> 32 <strong>11</strong>50026/08/<strong>2010</strong> 300023 505654 3 S<strong>and</strong> 35 5950026/08/<strong>2010</strong> 299989 505656 1 S<strong>and</strong> 36 7980026/08/<strong>2010</strong> 299948 505713 2 S<strong>and</strong> 34 5730126/08/<strong>2010</strong> 300051 5058<strong>11</strong> 4 S<strong>and</strong> 13404 17060


26/08/<strong>2010</strong> 300092 505800 10 S<strong>and</strong> 36 15800326/08/<strong>2010</strong> 300058 505844 0 S<strong>and</strong> 36 2300102/<strong>11</strong>/<strong>2010</strong> 299905 506083 0 S<strong>and</strong> 29 1760002/<strong>11</strong>/<strong>2010</strong> 299940 505987 0 S<strong>and</strong> 28 17700202/<strong>11</strong>/<strong>2010</strong> 299904 506084 1 S<strong>and</strong> 29 826002/<strong>11</strong>/<strong>2010</strong> 299935 506031 1 S<strong>and</strong> 31 1570002/<strong>11</strong>/<strong>2010</strong> 299906 506043 1 S<strong>and</strong> 29 1690102/<strong>11</strong>/<strong>2010</strong> 299977 505952 1 S<strong>and</strong> 29 <strong>11</strong>70002/<strong>11</strong>/<strong>2010</strong> 299962 505982 3 S<strong>and</strong> 31 3360102/<strong>11</strong>/<strong>2010</strong> 299941 506014 0 S<strong>and</strong> 26 799003/<strong>11</strong>/<strong>2010</strong> 300083 505873 4 S<strong>and</strong> 33 2260103/<strong>11</strong>/<strong>2010</strong> 300016 505889 2 S<strong>and</strong> 33 765003/<strong>11</strong>/<strong>2010</strong> 300016 505889 2 S<strong>and</strong> 29 3840203/<strong>11</strong>/<strong>2010</strong> 299930 505715 0 S<strong>and</strong> 30 998103/<strong>11</strong>/<strong>2010</strong> 299986 505752 4 S<strong>and</strong> 30 5840303/<strong>11</strong>/<strong>2010</strong> 300017 505724 2 S<strong>and</strong> 34 89<strong>11</strong>03/<strong>11</strong>/<strong>2010</strong> 300070 505885 1 S<strong>and</strong> 29 2760203/<strong>11</strong>/<strong>2010</strong> 300098 505779 2 S<strong>and</strong> 30 1330104/<strong>11</strong>/<strong>2010</strong> 299812 506<strong>11</strong>1 4 S<strong>and</strong> 31 <strong>2010</strong>104/<strong>11</strong>/<strong>2010</strong> 299808 506121 0 S<strong>and</strong> 36 1690104/<strong>11</strong>/<strong>2010</strong> 299806 506<strong>11</strong>7 0 S<strong>and</strong> 33 670004/<strong>11</strong>/<strong>2010</strong> 299738 506003 1 S<strong>and</strong> 31 1240104/<strong>11</strong>/<strong>2010</strong> 299756 505994 2 S<strong>and</strong> 26 2250104/<strong>11</strong>/<strong>2010</strong> 299718 506060 2 S<strong>and</strong> 34 748009/<strong>11</strong>/<strong>2010</strong> 300030 505712 0 S<strong>and</strong> 32 1330109/<strong>11</strong>/<strong>2010</strong> 300071 505835 1 S<strong>and</strong> 27 954<strong>11</strong>0/<strong>11</strong>/<strong>2010</strong> 300100 505796 1 S<strong>and</strong> 34 1920<strong>11</strong>0/<strong>11</strong>/<strong>2010</strong> 300126 505756 2 S<strong>and</strong> 38 12101Table A.4: Location <strong>and</strong> activities <strong>for</strong> particles recovered at Braystones61


Position (BNG)Activity of recovered particle (Bq)Date x y d (cm) Substrate137 Cs241 Am60 Co22/05/2007 296677 510804 2.5 s<strong>and</strong> 18 4300017/09/2007 296037 5<strong>11</strong>597 3 s<strong>and</strong> 6791 <strong>11</strong>724/09/2007 296028 5<strong>11</strong>675 1 s<strong>and</strong> 19 426028/09/2007 296279 5<strong>11</strong>370 0 s<strong>and</strong> 7190 9901/10/2007 295982 5<strong>11</strong>524 3 s<strong>and</strong> 4100 7801/10/2007 295898 5<strong>11</strong>599 0 s<strong>and</strong> 3700 8401/04/2008 296488 5<strong>11</strong>133 6 s<strong>and</strong> 61 17200<strong>11</strong>/04/2008 295874 5<strong>11</strong>615 1 s<strong>and</strong> 5850 10916/04/2008 295953 5<strong>11</strong>661 5 s<strong>and</strong> 19202 15002/04/2009 295928 5<strong>11</strong>590 4 S<strong>and</strong> 19401 22002/04/2009 295952 5<strong>11</strong>562 3 S<strong>and</strong> 27 7270002/07/2009 295962 5<strong>11</strong>544 7 S<strong>and</strong> 77 14307/07/2009 296078 5<strong>11</strong>318 10 S<strong>and</strong> 94<strong>11</strong> 27101/04/<strong>2010</strong> 296067 5<strong>11</strong>314 1 S<strong>and</strong> 25 2960501/04/<strong>2010</strong> 296022 5<strong>11</strong>368 2 S<strong>and</strong> 33 2560507/04/<strong>2010</strong> 296202 5<strong>11</strong>384 1 S<strong>and</strong> 25 1810207/04/<strong>2010</strong> 296201 5<strong>11</strong>336 1 S<strong>and</strong> 23 2550308/04/<strong>2010</strong> 296080 5<strong>11</strong>660 2 S<strong>and</strong> 30 2940408/04/<strong>2010</strong> 296083 5<strong>11</strong>640 1 S<strong>and</strong> 22 2100308/04/<strong>2010</strong> 296225 5<strong>11</strong>252 1 S<strong>and</strong> 24 3690608/04/<strong>2010</strong> 296197 5<strong>11</strong>324 0 S<strong>and</strong> 6727 20908/04/<strong>2010</strong> 296177 5<strong>11</strong>315 2 S<strong>and</strong> 30 5240808/04/<strong>2010</strong> 296230 5<strong>11</strong>242 1 S<strong>and</strong> 25 1580209/04/<strong>2010</strong> 296103 5<strong>11</strong>612 3 S<strong>and</strong> 22 5500816/04/<strong>2010</strong> 296129 5<strong>11</strong>539 2 S<strong>and</strong> 25 3510416/04/<strong>2010</strong> 296165 5<strong>11</strong>495 2 S<strong>and</strong> 27 2290316/04/<strong>2010</strong> 296154 5<strong>11</strong>551 3 S<strong>and</strong> 23 1260<strong>11</strong>9/04/<strong>2010</strong> 296607 510826 2 S<strong>and</strong> 30 1530220/04/<strong>2010</strong> 296631 510845 6 S<strong>and</strong> 28 4480520/04/<strong>2010</strong> 296700 510805 2 S<strong>and</strong> 30 3160320/04/<strong>2010</strong> 296679 510835 0 S<strong>and</strong> 29 1010121/04/<strong>2010</strong> 296329 5<strong>11</strong>202 1 S<strong>and</strong> 22 2400221/04/<strong>2010</strong> 296272 5<strong>11</strong>221 1 S<strong>and</strong> 26 2360221/04/<strong>2010</strong> 296310 5<strong>11</strong>300 1 S<strong>and</strong> 21 1690221/04/<strong>2010</strong> 296283 5<strong>11</strong>342 1 S<strong>and</strong> 25 2140222/04/<strong>2010</strong> 296331 5<strong>11</strong>4<strong>11</strong> 2 S<strong>and</strong> 28 3220322/04/<strong>2010</strong> 296154 5<strong>11</strong>370 2 S<strong>and</strong> 31 1970222/04/<strong>2010</strong> 296<strong>11</strong>0 5<strong>11</strong>395 2 S<strong>and</strong> 27 1940222/04/<strong>2010</strong> 296302 5<strong>11</strong>346 1 S<strong>and</strong> 23 623122/04/<strong>2010</strong> 296203 5<strong>11</strong>519 3 S<strong>and</strong> 27 2130206/09/<strong>2010</strong> 296406 5<strong>11</strong>315 3 S<strong>and</strong> 37 5140208/09/<strong>2010</strong> 296193 5<strong>11</strong>294 0 S<strong>and</strong> 31 2520162


14/09/<strong>2010</strong> 295936 5<strong>11</strong>764 2 S<strong>and</strong> 36 1930014/09/<strong>2010</strong> 295937 5<strong>11</strong>633 0 S<strong>and</strong> 31 2220014/09/<strong>2010</strong> 295933 5<strong>11</strong>795 0 S<strong>and</strong> 30 598020/09/<strong>2010</strong> 296218 5<strong>11</strong>356 0 S<strong>and</strong> 36 1750020/09/<strong>2010</strong> 296273 5<strong>11</strong>379 1 S<strong>and</strong> 34 <strong>11</strong>20021/09/<strong>2010</strong> 296073 5<strong>11</strong>482 1 S<strong>and</strong> 34 615022/09/<strong>2010</strong> 296078 5<strong>11</strong>416 2 S<strong>and</strong> 38 2780122/09/<strong>2010</strong> 296151 5<strong>11</strong>477 1 S<strong>and</strong> 36 4840222/09/<strong>2010</strong> 296313 5<strong>11</strong>376 1 S<strong>and</strong> 30 1470<strong>11</strong>5/<strong>11</strong>/<strong>2010</strong> 296145 5<strong>11</strong>488 3 S<strong>and</strong> 17103 41415/<strong>11</strong>/<strong>2010</strong> 296109 5<strong>11</strong>615 1 S<strong>and</strong> 34 503016/<strong>11</strong>/<strong>2010</strong> 296082 5<strong>11</strong>546 1 S<strong>and</strong> 33 3640<strong>11</strong>6/<strong>11</strong>/<strong>2010</strong> 296038 5<strong>11</strong>550 1 S<strong>and</strong> 34 922016/<strong>11</strong>/<strong>2010</strong> 295988 5<strong>11</strong>571 4 S<strong>and</strong> 28 1640<strong>11</strong>6/<strong>11</strong>/<strong>2010</strong> 295976 5<strong>11</strong>648 2 S<strong>and</strong> 25 2<strong>11</strong>0<strong>11</strong>7/<strong>11</strong>/<strong>2010</strong> 296212 5<strong>11</strong>487 2 S<strong>and</strong> 29 1440017/<strong>11</strong>/<strong>2010</strong> 296192 5<strong>11</strong>422 2 S<strong>and</strong> 33 1980<strong>11</strong>7/<strong>11</strong>/<strong>2010</strong> 295937 5<strong>11</strong>714 2 S<strong>and</strong> 32 19401Table A.5: Location <strong>and</strong> activities <strong>for</strong> particles recovered at St Bees63


Activity of recoveredPosition (BNG)particle (Bq)Date x y d (cm) Substrate137 Cs241 Am Location03/10/2008 298689 529957 2 s<strong>and</strong> 18201 170 Workington06/<strong>11</strong>/2008 307684 542432 3 s<strong>and</strong> 7140 128 Allonby23/09/<strong>2010</strong> 297194 518862 1 S<strong>and</strong> 30 24100 Whitehaven24/09/<strong>2010</strong> 297161 518865 2 S<strong>and</strong> 29 14100 Whitehaven13/10/<strong>2010</strong> 296880 518400 19 S<strong>and</strong> 292023 1362 Whitehaven05/<strong>11</strong>/<strong>2010</strong> 297057 518681 2 S<strong>and</strong> 29 9061 Whitehaven05/<strong>11</strong>/<strong>2010</strong> 297098 518758 2 S<strong>and</strong> 28 25102 Whitehaven05/<strong>11</strong>/<strong>2010</strong> 297095 518758 2 S<strong>and</strong> 34 27202 WhitehavenTable A.6: Location <strong>and</strong> activities <strong>for</strong> particles recovered north of St Bees64


SSEM/20<strong>11</strong>/4730 June 20<strong>11</strong>Appendix 5In<strong>for</strong>mation sent to EA in support of a 150 ha beachmonitoring programme© Nuclear Decommissioning Authority 20<strong>11</strong>.


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Page 1 of 3<strong>11</strong> February 20<strong>11</strong>Stuart Page Direct tel: 019467 76597Environment AgencyGhyll MountGillan WayPenrith 40 Business ParkPenrithCA<strong>11</strong> 9BPDirect fax:Your ref:Our ref: EA/06/7733/21Dear Mr PageProposed Beach Monitoring <strong>Programme</strong> <strong>for</strong> 20<strong>11</strong>/12I attach a copy of <strong>Sellafield</strong> <strong>Ltd</strong>’s proposed beach monitoring programme <strong>for</strong> 20<strong>11</strong>/12. As inprevious years this programme is set to run from the start of April to the end of March,consistent with the financial year. <strong>Sellafield</strong> <strong>Ltd</strong> is seeking to agree this programme with theEnvironment Agency by the end of February, to ensure continuity in beach monitoringoperations at the start of April <strong>and</strong> to provide the opportunity <strong>for</strong> it to be shared with otherstakeholders (including Parish Councils) during March.At the multi-agency workshop hosted by the Environment Agency in November <strong>2010</strong>, <strong>Sellafield</strong><strong>Ltd</strong> presented on progress against the current 250 ha programme <strong>and</strong> on findings from thebeach monitoring work done to date. The Health Protection Agency also presented on thework they are doing on the assessment of risks (with the Food St<strong>and</strong>ards Agency), where theyrecommended: “Continued regular monitoring of <strong>Sellafield</strong> beach <strong>and</strong> monitoring at one or twoother beaches with high public occupancy, to provide continued reassurance that risks remainvery low”. Consistent with this recommendation, <strong>and</strong> as part of the presentation discussing theway <strong>for</strong>ward <strong>for</strong> the particles in the environment work programme, <strong>Sellafield</strong> <strong>Ltd</strong> introduced theproposal <strong>for</strong> the 20<strong>11</strong>/12 beach monitoring programme, with a total target area of 150ha overthe 12 month period. The basis <strong>for</strong> a 150ha programme was briefly outlined at the workshoptogether with indicative target coverage <strong>for</strong> each of the main beach areas.The programme attached to this letter is a development from that presented in November<strong>2010</strong>; <strong>and</strong> takes into consideration points raised at the workshop. The following provides moredetail on how the programme has been developed.As a starting point, the programme incorporates regular repeat visits to <strong>Sellafield</strong> beach. Thissatisfies both the requirement <strong>for</strong> “Monthly monitoring at least 10 times per year” specified inthe Compilation of Environment Agency Requirements (CEAR) under 1/9/007; <strong>and</strong> alsoachieves regular repeat visits to <strong>Sellafield</strong> beach where the highest find-rates are observed.These regular repeat visits facilitate the ongoing removal of finds from this area of beach <strong>and</strong>A company owned by Nuclear Management Partners <strong>Ltd</strong>Registered Office: Booths Park,Chel<strong>for</strong>d Road, Knuts<strong>for</strong>d, Cheshire WA16 8QZCompany Registration No. 1002607


Page 2 of 3provides useful in<strong>for</strong>mation on find numbers over time <strong>and</strong> possible rates of repopulation.The requirement <strong>for</strong> str<strong>and</strong>line monitoring has also been incorporated into the programme atappropriate quarterly intervals. This monitoring, which is less time consuming than large areabeach monitoring, has been identified alongside the need <strong>for</strong> regular vehicle maintenance.Braystones beach, with its relatively high find-rates <strong>and</strong> greater public occupancy levels than<strong>Sellafield</strong>, will continue to dominate as the beach with the largest target monitoring area. As inprevious years, monitoring will be done a number of times, in large period blocks during theprogramme year.A key feature of the 20<strong>11</strong>/12 programme is the introduction of larger blocks of Buffer Time. Inprevious programmes, week-long blocks have been incorporated to allow <strong>for</strong> recovery of theprogramme in the event that un<strong>for</strong>eseen circumstances (eg inclement weather or technicalcomplications) impact on the ability of the contractor to achieve beach target areas in anygiven monitoring block. This year, in response to concerns raised by local stakeholders aboutpossible detrimental aspects of beach monitoring operations during peak tourist seasons,<strong>Sellafield</strong> <strong>Ltd</strong> are proposing to introduce extended Buffer Time blocks around the Easter <strong>and</strong>Summer school holidays. This will mean that routine monitoring will not be scheduled to takeplace during these times, (allowing time <strong>for</strong> major vehicle maintenance etc. to be carried out ifrequired), unless extenuating circumstances require it. Where monitoring is required duringthe buffer time, all ef<strong>for</strong>ts will be made to avoid those beaches with the highest publicoccupancy.Recognising the introduction of two extended buffer periods, those beach areas with thehighest public occupancy rates are scheduled to be monitored as close as possible to the start<strong>and</strong> finish of these periods. For example, St Bees beach will be monitored twice between theEaster <strong>and</strong> Summer buffer periods <strong>and</strong> again soon after the Summer buffer weeks. Thisshould mean that monitoring takes place at times that are most representative of periods whenthe beaches have their highest occupancy, but without the adverse impacts of monitoringwhen large numbers of the public are present.As a result of introducing these repeat visits either side of the buffer periods; <strong>and</strong> by breakingthe majority of monitoring periods down into week-long blocks at each beach, the number ofmonitoring visits to St Bees <strong>and</strong> Seascale will be increased as part of the 20<strong>11</strong>/12 programme.As with the <strong>Sellafield</strong> beach re-visits, these repeat surveys will help in<strong>for</strong>m underst<strong>and</strong>ing offind numbers <strong>and</strong> possible re-population rates.As part of the <strong>2010</strong>/<strong>11</strong> programme two periods of Investigative monitoring were introduced,providing the opportunity to return to some of the less-visited beaches <strong>and</strong> to monitor newbeach areas, utilising both vehicle <strong>and</strong> h<strong>and</strong>-held equipment (<strong>for</strong> those areas inaccessible tothe vehicle). For 20<strong>11</strong>/12 we are including beach areas from last years’ investigations asnamed beach areas in the programme (Allonby, Whitehaven North <strong>and</strong> Harrington); togetherwith a non-beach specified Investigation period. The specific inclusion of Allonby, WhitehavenNorth <strong>and</strong> Harrington, recognises the interest in continued monitoring on beach areas to thenorth of St Bees where a small number of finds have been recovered on some of the previousvisits. A decision on how best to allocate the Investigation period will be made closer to thetime; <strong>and</strong> will be based on findings from the monitoring carried out up to that point in theA company owned by Nuclear Management Partners <strong>Ltd</strong>Registered Office: Booths Park,Chel<strong>for</strong>d Road, Knuts<strong>for</strong>d, Cheshire WA16 8QZCompany Registration No. 1002607


Page 3 of 3programme. <strong>Sellafield</strong> <strong>Ltd</strong> will consult with the Agency on this allocation.To the south of <strong>Sellafield</strong>, beach monitoring has been carried out at Drigg beach each year,extending down to Drigg Point <strong>and</strong> the Ravenglass estuary. The HPA presentation to themulti-agency workshop in November <strong>2010</strong> included a recommendation <strong>for</strong>: “Further monitoringat Drigg beach, to reduce uncertainties in the assessment of the population of objects on thatbeach”. Consistent with this recommendation, Drigg beach will be monitored twice during20<strong>11</strong>/12.In developing this programme, <strong>Sellafield</strong> <strong>Ltd</strong> aims to deliver a schedule of beach monitoringthat achieves the right balance between beach locations <strong>and</strong> target areas; whilst recognisingthe range of stakeholder views on the monitoring operations themselves. We believe theprogramme is commensurate with the levels of risk as currently assessed; <strong>and</strong> is capable ofproviding reassurance that risks remain very low. As in previous years, where findings fromthe monitoring result in the need to review the programme, this will be done in full consultationwith the Agency.I look <strong>for</strong>ward to your response.Yours sincerelyMartin EJ CloughEnvironmental Monitoring <strong>and</strong> AssessmentsEHS&Qmartin.clough@sellafieldsites.comOn behalf of <strong>Sellafield</strong> <strong>Ltd</strong>Copied toRegulator Liaison Office, B<strong>11</strong>3J DesmondA company owned by Nuclear Management Partners <strong>Ltd</strong>Registered Office: Booths Park,Chel<strong>for</strong>d Road, Knuts<strong>for</strong>d, Cheshire WA16 8QZCompany Registration No. 1002607


Week StartingSoftrak Beach MonitoringArea Targets(ha)Paymentin Period04-Apr <strong>Sellafield</strong> (a) 4 <strong>11</strong>1-Apr25-Apr18-AprBuffer Time –202-May09-May <strong>Sellafield</strong> (b) 416-May St Bees (1) 423-MayVehicle Maintenance/Str<strong>and</strong>line30-May Drigg (1) 506-Jun <strong>Sellafield</strong> (c) 413-Jun20-JunBraystones (1) 14427-Jun04-Jul <strong>Sellafield</strong> (d) 4<strong>11</strong>-Jul Seascale (1) 518-Jul St Bees (2) 425-Jul01-Aug08-Aug15-AugBuffer Time –22-Aug629-Aug05-Sep <strong>Sellafield</strong> (e) 412-Sep St Bees (3) 419-Sep Vehicle Maintenance/Str<strong>and</strong>linee/Str<strong>and</strong>line26-Sep Seascale (2)503-Oct <strong>Sellafield</strong> lafield (f)4710-Oct Whitehaven en North/Harrington 417-Oct24-OctBraystones (2) 1830-Oct807-Nov14-Nov <strong>Sellafield</strong> (g) 421-Nov Whitehaven North/Harrington 428-Nov St Bees (4) 405-Dec <strong>Sellafield</strong> (h) 4912-Dec Allonby 419-Dec Vehicle Maintenance/Str<strong>and</strong>line –PropposeddChristmas Break02-Jan09-JanSt Bees (5) 816-Jan <strong>Sellafield</strong> (i) 323-Jan Investigation 430-Jan06-FebBraystones (3) 1413-Feb20-Feb <strong>Sellafield</strong> (j) 327-Feb Seascale (3) 405-Mar Drigg (2) 412-Mar <strong>Sellafield</strong> (k) 319-Mar Vehicle Maintenance/Str<strong>and</strong>line –26-MarBuffer TimeCumulative Totals ==>150 ha10<strong>11</strong>12


BeachHectare Coverage<strong>Sellafield</strong> 41Braystones 46St Bees 24Seascale 14Investigation 4Drigg 9Whitehaven/Harrington 8Allonby 4Total 150Proposed


Additional justification of 20<strong>11</strong>/12 Beach Monitoring <strong>Programme</strong>The proposed 20<strong>11</strong>/12 Beach Monitoring <strong>Programme</strong> was shared with theEnvironment Agency in a letter to Stuart Page on <strong>11</strong> February 20<strong>11</strong>. Theletter sets out proposals <strong>for</strong> a total of 150 hectares <strong>and</strong> identifies coverage<strong>and</strong> scheduling <strong>for</strong> each of the beach areas to be monitored. This notesupplements the letter by providing more detail on specific objectives of theprogramme <strong>and</strong> how these will be met.Based on the current in<strong>for</strong>mation available, the Health Protection Agency riskassessment concludes that:“…the overall health risks to beach users is very low <strong>and</strong> significantly lowerthan other risks that people accept when using beaches, <strong>for</strong> example,drowning in UK coastal waters.”The primary objective of the ongoing programme is to ensure that furtherconfidence <strong>and</strong> reassurance can be given that overall risks to beach usersremain at or below those estimated in the HPA assessment. To achieve this,the programme will focus on: Trending of particle population changes with time, to underst<strong>and</strong> therepopulation rates <strong>for</strong> individual beaches; <strong>and</strong> Improved underst<strong>and</strong>ing of the transport of material, in particular to thenorth beyond St Bees Head, to confirm the current spatial distribution.The probability of a member of the public encountering a find has beendetermined in the HPA risk assessment. The estimate requires underst<strong>and</strong>ingof: find population; habit data; <strong>and</strong> find activity profile. Whilst the currentestimate of risk is very low, to further reduce uncertainties the 20<strong>11</strong>/12programme will include re-visits to pre-determined areas on <strong>Sellafield</strong>,Braystones, St Bees <strong>and</strong> Seascale Beach, together with re-visits to beachesfurther afield, where low find rates have been recorded during previousmonitoring.The determination that a 150 hectare programme is appropriate is primarilydriven by the current underst<strong>and</strong>ing of risk <strong>and</strong> is an area that is consistentwith that specified <strong>for</strong> the first full year of monitoring achieved in 2007/08(146.7 hectares). In that year, <strong>and</strong> each subsequent year the total areamonitored has exceeded the target area; <strong>and</strong> a significant amount of data <strong>and</strong>in<strong>for</strong>mation has been amassed. Building on the progress made in previousyears, the following sets out what the 20<strong>11</strong>/12 programme will focus on.The beaches selected specifically <strong>for</strong> repeat monitoring have been identifiedbased on a number of criteria:I. Areas of high find ratesa. <strong>Sellafield</strong> – highest find-rate beach


. Braystones – second highest find-rate beach, also withincreased occupancyII. Areas with high levels of public occupancya. St Bees <strong>and</strong> Seascaleb. BraystonesIII. Areas covered by extensive existing monitoring data (generallyconsistent with i <strong>and</strong> ii above)a. <strong>Sellafield</strong>b. Braystonesc. St Bees <strong>and</strong> SeascaleIV. Areas of beach with consistent s<strong>and</strong> coverage (subject to seasonalvariations in depth)V. Areas with high confidence of monitoring repeatabilityFor each of these beaches, specified repeat area boxes have been identifiedas part of the respective beach monitoring total area.At <strong>Sellafield</strong> beach 2 areas (boxes) have been selected. These are both 1hectare in size <strong>and</strong> will be re-monitored eleven times each during theprogramme year. Selection of these areas has focussed on beach areas <strong>for</strong>which data has been collected in previous years monitoring (see table below)<strong>and</strong> where consistently high find rates have been observed. These boxesrepresent the core area to be covered on each <strong>and</strong> every visit to the <strong>Sellafield</strong>beach, with additional coverage of the neighbouring beach, up to a total of 4hectares dependent on available area at each monitoring visit. Thiscombination of core areas <strong>and</strong> additional area af<strong>for</strong>ds a degree of flexibility inthe monitoring <strong>and</strong> avoids overly constraining the contractor in what can bechallenging conditions.Likewise, at Braystones 2 box areas have been selected. These are larger insize (5 hectares) <strong>and</strong> will be revisited three times in the programme year. Aswith <strong>Sellafield</strong>, each of these areas has been revisited extensively in previousyears monitoring (see table below); <strong>and</strong> represent areas of elevated findrates. A total of 14 hectares will be covered on each visit to Braystones, toinclude both of the defined 5 hectare boxes.Both St Bees <strong>and</strong> Seascale are beaches that are regularly visited bymembers of the public. At each beach a single area (3 hectares) has beenselected, closest to the main parking areas <strong>and</strong> public access points. St Beeswill be revisited five times during the programme year, with Seascale revisitedthree times, reflecting the northerly bias to find rates. As detailed in the letterto EA, the visits to these beaches have been scheduled closely around theBuffer Time breaks, during which the highest occupancy levels are expected.A total area of 24 hectares will be covered at St Bees, with a total of 14hectares covered at Seascale.


In the context of the total monitoring, repeat areas represent approximately50% of the 150 hectare programme. Details of the repeat monitoring areasare summarised below <strong>and</strong> accompanying maps can be found in Appendix 1:<strong>Sellafield</strong>- 2 x 1 hectare boxesBraystones - 2 x 5 hectare boxesSeascale - 1 x 3 hectare boxSt Bees – 1 X 3 hectare boxThe box areas identified <strong>for</strong> repeat visits have each been monitoredpreviously in the past four years (some in part <strong>and</strong> some in their entirety),enabling year-on-year <strong>and</strong> seasonal change comparisons to be made overthe longest available time periods:Beach Monitoring Area Number of previousmonitoring visits<strong>Sellafield</strong> 1 (north) 9<strong>Sellafield</strong> 2 (south) 10Braystones 1 (north) 9Braystones 2 (south) 10Seascale 5St Bees 6The criteria used to select the beach areas to be monitored further afield arebroadly similar to those used <strong>for</strong> the repeat areas, as set out above. Thebeaches covered have generally lower occupancy <strong>and</strong> very low find rates.Drigg beach was identified in the HPA risk assessment as having a relativelyhigh uncertainty because of the large total area <strong>and</strong> the relatively lowcoverage achieved to date. Two return visits have been scheduled with atotal of 9 hectares targeted. The main aim here is to further reduce levels ofuncertainty.The beaches to the north of St Bees have generally low availability ofaccessible s<strong>and</strong> coverage until Allonby. However, to reflect the apparentdecrease in find rate as you move northwards, 8 hectares has been allocatedto Whitehaven/Harrington areas <strong>and</strong> a further 4 hectares has been allocatedto Allonby. The main aims here are again a reduction in uncertainty <strong>and</strong> alsoimproved underst<strong>and</strong>ing of particle transport.In addition, 4 hectares has been unassigned, to build flexibility into theprogramme <strong>and</strong> to allow <strong>Sellafield</strong> <strong>Ltd</strong> to respond to developments in both findrates <strong>and</strong>/or changes in occupancy.


Appendix 1:Maps of Proposed Repeat Monitoring Areas <strong>for</strong> <strong>Sellafield</strong>, Braystones,Seascale <strong>and</strong> St Bees

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