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The Cost-Curve calculation tool optimises simultaneously on the percentage reduction in phosphorus, nitrate and FIO losses. If preferred, options allow for a weighting to be given to methods that are effective against a specific pollutant. This would enable optimisation against, for example, differential costs of clean up per unit of pollutant loss. Additionally, the tool can be used to optimise on only cost or benefit, and to limit either the maximum spend or number of methods implemented. The maximum spend limit can be used to restrict method implementation to advisory policy options that either save money or are relatively low cost. RESULTS AND DISCUSSION We show two examples of model farms: arable with manure and a dairy farm. Modelled baseline losses are shown in Table 4. Preliminary results for the assessment of cost-effectiveness of two policy options, as examples, are presented; a Nutrient Management Plan and a Farm Assurance Scheme. Table 2 shows which mitigation methods are invoked. Table 4: Modelled baseline losses of nitrate-N and phosphorus (kg) and FIO (relative units) for two representative farm types and two soil textures. Annual average rainfall was assumed to be 850 mm Farm type Sandy loam Clay loam N P FIO N P FIO Arable (+ manure) Soil + dissolution 10898 2.1 0 10444 633 0 Manure + excreta 1649 5.2 6 1212 133 38 Mineral fertiliser 2267 3.5 0 3573 168 0 Total 14814 10.8 6 15229 934 38 Average across farm (kg/ha): 49
cost (£'000/farm) or reduction in loss (%) 50 45 40 35 30 25 20 15 10 5 0 -5 Dairy Arable + manure cost NO3 P FIO cost NO3 P FIO Nutrient management plan F arm assurance scheme Figure 1: The estimated efficiency (% reduction against baseline) and cost (£’000/farm) of two example policy options applied to two representative farm types The results from the cost-effectiveness assessment (Figure 1) show several points, with more scope for decreasing nitrate loss on the dairy farm than on the arable farm. The Nutrient Management Plan had no effect on FIOs; neither policy option affected FIOs on the arable farm. This is because control is influenced by storage practices and it was assumed that there was no storage on the arable farm: manure was imported and spread. Effectiveness in decreasing P loss was similar between farm types. The Farm Assurance Scheme was more effective than the Nutrient Management Plan, particularly on the dairy farm. This is because the Farm Assurance Scheme included measures that controlled timing of manure applications and storage, in our example. The costs to the farm business of implementing the two example options differ between farm types, with a net saving (negative cost) on the arable farm, but a cost of c. £7,000 to the dairy farm. This comes down to interpretation of which measures are invoked. We have assumed that both example policy options result in farms having to source alternative protein sources (‘dietary manipulation’) for the dairy herd, which bears a substantial cost. Without this, both policy options would be close to cost neutral on the dairy farms. Suggested mitigation methods would clearly benefit diffuse pollution losses, but have implications for the economic sustainability of individual farm businesses. A major benefit of the cost-effectiveness tool under development is that it allows a wide range of scenarios to be tested and compared. 82
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International Water Association AGR
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2006 Conference Organising Committe
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Theme 2: Cost-effectiveness of Best
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Poster Presentations The Farm Soils
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viii
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managers need support in understand
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During the past 20 years, it became
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infiltration); and (4) capture, sto
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DOMINATING PARAMETERS OF IMPAIRMENT
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Using the results of the unsupervis
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Kohonen T (2001). Self-Organizing M
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WATER FRAMEWORK DIRECTIVE IMPLEMENT
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Table 1: Modelled total annual loss
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• It should be possible to apply
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Scottish Executive against 18 measu
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REFERENCES Anthony S, Betson M, Lor
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ased on the ‘drainage basin’ in
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management practices’ (BMPs) toge
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It is envisaged that these data wil
Page 39 and 40: testing (including climate change)
Page 41 and 42: Council of the European Communities
Page 43 and 44: DECREASING THE NITROGEN SOIL SURFAC
Page 45 and 46: Table 1: Overview of the measures c
Page 47 and 48: Table 2: Costs (C), effects (E) and
Page 49 and 50: Figure 2: Combination of ‘best av
Page 51 and 52: MATERIALS AND METHODS At the 5-km 2
Page 53 and 54: REFERENCES Jordan P, Menary W, Daly
Page 55 and 56: Although the TMDL programme origina
Page 57 and 58: grassland and heather moorland, sup
Page 59 and 60: Given that the release of P from th
Page 61 and 62: to the underlying causes, and thus
Page 63 and 64: All water body use attainment infor
Page 65 and 66: indicate the possible presence of p
Page 67 and 68: DEVELOPMENT AND IMPLEMENTATION OF M
Page 69 and 70: BMP is being implemented and the ap
Page 71 and 72: THE USE OF PONDS TO REDUCE POLLUTIO
Page 73 and 74: established pond/wetland for nutrie
Page 75 and 76: Table 1: Hydraulic load, mean water
Page 77 and 78: Comparable SS removals have been re
Page 79 and 80: Reddy GB, Hunt PG, Phillips R, Ston
Page 81 and 82: In general, the combinations of mea
Page 83 and 84: final word on the POMs selection an
Page 85 and 86: CONCLUSIONS The ERBD project team i
Page 87 and 88: Table 1: A summary of the measures
Page 89: Table 3: A summary of the represent
Page 93 and 94: ECONOMIC IMPLICATIONS OF MINIMISING
Page 95 and 96: spread cattle slurry in the autumn
Page 97 and 98: £25,000. The investment in trailin
Page 99 and 100: Studies on a drained clay soil at B
Page 101 and 102: REFERENCES Anon (2000). Fertiliser
Page 103 and 104: (Haygarth and Jarvis, 1999). The vo
Page 105 and 106: Application Representative farm sys
Page 107 and 108: Table 2: Modelled cost-curve for th
Page 109 and 110: ASSESSING THE SIGNIFICANCE OF DIFFU
Page 111 and 112: In the absence of data on the sourc
Page 113 and 114: Magnitude of Impacts The magnitude
Page 115 and 116: D. Use relative area of farm and wh
Page 117 and 118: ADAS has developed a matrix for Def
Page 119 and 120: Dickson JW, Edwards T, Jeffrey WA,
Page 121 and 122: 60% phosphorus and 50% nitrogen of
Page 123 and 124: RESULTS AND DISCUSSION Landscape St
Page 125 and 126: was contributed to the low vegetati
Page 127 and 128: iological uptake in a grassed area.
Page 129 and 130: Tim US, Jolly R and Liao HH (1995).
Page 131 and 132: to control SS and P loads from agri
Page 133 and 134: Total P inputs in fertilisers and m
Page 135 and 136: Within the Teme catchment, largest
Page 137 and 138: A RISK ASSESSMENT AND MITIGATION ST
Page 139 and 140: Environmental Monitoring The primar
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BMP measure 1 (exclusion of stock f
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(a) With reference to the increase
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ACKNOWLEDGEMENTS SAC acknowledges f
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The Environment Sensitive Farming (
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improved further as a result of att
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to do more to reduce pesticide impa
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MANAGING DIFFUSE POLLUTION FROM A F
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turbulent air mixing. The effect th
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Although nitrate leaching can be re
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infiltration of water sheeting off
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Nisbet TR, Orr H and Broadmeadow S
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anthropogenic activities are pollut
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monitoring is determined up front b
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(USEPA). Nevertheless, by applying
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• Sampling equipment •Laborator
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Reinert RE, Knuth BA, Kamrin MA and
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Tier 3 - Tier 3 of LMCs is planned
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policy literature, although this is
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Figure 1: Individual-collective spe
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• tailoring activities to local c
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ACKNOWLEDGEMENTS The support of the
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THE EFFECT OF DIFFUSE POLLUTION FRO
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equires the Minister to designate a
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protection and restoration, sustain
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expensive. One-to-one contact becom
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farmers. In England, recent policy
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practices but, hopefully, the chang
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A CASE STUDY: ADOPTION OF BEST MANA
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The approaches taken by Brittany to
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MANURE TREATMENT By January 2005, t
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REGULATORY OPTIONS FOR THE MANAGEME
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There are also measures that contro
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widely recognised as needing much a
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ploughed, of rivers and streams tha
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is the only mechanism identified fo
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PHOSPHORUS STORAGE IN FINE CHANNEL
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structure and minimum level of main
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REFERENCES May L, Place C, O’Hea
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LOUND CATCHMENT PROJECT: WORKING WI
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MINIMISING THE PRESSURES AND IMPACT
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Predicting Bathing Water Quality Vi
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Risk of illness percentages were ca
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Table 4: Expected lifetime benefits
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DETERMINATION OF THE VETERINARY ANT
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Thin Layer Chromatography The sampl
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Table 2: Regression functions and c
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OPPORTUNITIES AND CONSTRAINTS FOR U
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to land managers and agency staff t
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stakeholders, together with their i
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REFERENCES EC (2000). Directive 200
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A third scenario was applied to Clu
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Based on a detailed distribution of
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could be misleading. The results of
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TACKLING DIFFUSE NITRATE POLLUTION:
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AMMONIA VOLATILISATION FROM CATTLE
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and 27% of the soil surface at 80 m
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FIELD TESTING OF MITIGATION OPTIONS
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techniques can significantly reduce
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NITRATE CONTAMINATION OF GROUNDWATE
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MATERIALS AND METHODS At two UK sit
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ACKNOWLEDGEMENTS Funding of this wo
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y standard methods and fresh, end o
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comparable to those in water draini
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Results may be influential in deter
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• numbers and distribution of liv
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Using this method of classification
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Table 5: Results of land use scenar
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CONCLUSIONS As a decision support t
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types. This paper reports results f
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N Losses in Drainage Water Mean nit
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SOIL AND CROP MANAGEMENT EFFECTS ON
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treatments, typically 10 storm even
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Tramline Effects In both years, obs
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Notes 278
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