November 2004 (PDF 11.6 MB) - Barrick Gold Corporation

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Cowal <strong>Gold</strong> Project – Noise Management Plan5.2.4 Monitoring Operation NoiseNoise monitoring methodology for Project operations will be described in the Noise InvestigationsPlan, prepared pursuant to Consent Condition 8.4(a)(i). Details of operational noise monitoringmethodology and the Noise Investigations Plan are provided in Section 7.6 NOISE IMPACTS DURING TEMPERATURE INVERSIONSIn accordance with Consent Conditions 6.4(a) and 6.4(b), temperature inversions are required to beconsidered in this NMP. Monitoring of temperature inversions, correlations between temperatureinversions, investigation of noise complaints and possible remedial measures relating to temperatureinversion impacts are discussed in the following sections.6.1 MONITORING OF TEMPERATURE INVERSIONSIn accordance with Consent Condition 8.1, the on-site meteorological station will provide data to beused for predicting noise impacts on nearby residences and bird breeding areas. An automatedmeteorological station is currently located at the exploration office and records rainfall, wind speed,wind direction and temperature. The meteorological station will be relocated to continue to monitormeteorological conditions during Project operations. When used in conjunction with the noisemonitoring results, meteorological data (in particular, wind speed, wind direction and rainfall) willprovide useful information for the management of noise emissions and review of noise managementpractices.As part of meteorological monitoring, the sigma-theta method will be employed for measuringtemperature inversions. The sigma-theta method will be used according to the specifications in theINP (Appendix A). The sigma-theta method allows the susceptibility of an area to inversions to bedetermined indirectly through the use of a relationship between atmospheric stability categories andinversions. This relationship is shown in Table 11, adapted from Table E1 of Appendix E of the INP(Appendix A).Table 11Pasquill Stability CategoriesStability Category Range of Vertical Temperature Gradient 1(°C/100 m)A DT/DZ < –1.9B –1.9 < DT/DZ < –1.7C –1.7 < DT/DZ < –1.5D –1.5 < DT/DZ < –0.5E –0 .5 < DT/DZ < 1.5F 1.5 < DT/DZ < 4.0G4.0 < DT/DZSource: EPA, 20001DT/DZ refers to change in temperature over 100 m in elevation.Section E1 of Appendix E of the INP (Appendix A) states that:‘...inversions occur during E, F and G categories. These three categories are considered torepresent weak, moderate and strong inversions, respectively. For noise-assessment purposes,only moderate and strong inversions are considered significant enough to require assessment.’HAL-02-07/1/NMP01-P/17/11/04 16 BARRICK
Cowal <strong>Gold</strong> Project – Noise Management PlanTherefore, only Pasquil stability categories F and G are considered to be temperature inversions fornoise assessment purposes (Table 11).Using this method, an inversion can be determined by using a relationship between stabilitycategories and sigma-theta which is defined as the standard deviation of the horizontal wind directionfluctuations (σ A in degrees) (EPA, 2000).The following parameters are measured as part of the sigma-theta method:• time of day;• wind speed and direction;• surface roughness/vegetation cover; and• sigma-theta σ A (standard deviation of horizontal wind direction fluctuations).The existing meteorological station will measure wind speed and direction at an elevation of 10 m inaccordance with Table C4 of Appendix C of the INP (Appendix A). As outlined in Section E4 ofAppendix E of the INP (Appendix A), sigma-theta data will be measured on an hourly basis and wouldbe collected as specified in Australian Standard AS 2923 1987 Ambient Air – Guide for Measurementof Horizontal Wind for Air Quality Applications (Appendix B).Section E4 of Appendix E of the INP (Appendix A) states that the sigma-theta method is:‘...applied in one step to determine the daytime stability category and two steps to determine thenight-time stability category as follows:• the daytime (from 7 am to 6 pm) stability category may be determined directly from σ A datausing [Table 13].• the night-time (from 6 pm to 7 am) stability category may be determined in two steps:– determine the stability category from σ Α data using [Table 13].– modify this stability category based on prevailing wind speed using [Table 14].’Section E4 of Appendix E of the INP (Appendix A) states that the data in Table 12 is appropriate forsteady-state conditions and an aerodynamic surface roughness length of 15 centimetres (cm).Examination of Table E7 of Section E4 of Appendix E of the INP (Appendix A) indicates that theProject area surface is best characterised by rough pasture, which has a surface roughness ofbetween 4 and 10 cm. As a conservative measure, 4 cm was selected and incorporated into acorrection factor formula for Table 12.Table 12Wind Fluctuation Criteria for Estimating Pasquill Stability CategoriesPasquill StabilityCategoryABCDEFGSource: EPA, 2000Standard Deviation of the Horizontal Wind DirectionFluctuations 3,4 (σ Α in degrees)σ A ≥ 22.5 o17.5 ≤ σ A
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Table 3.2. Determining the existing
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ambient noise levels can affect the
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Table 4.1.Modifying factor correcti
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5 Meteorological conditions5.1 Intr
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which is from 10 pm to 7 am.) Winte
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around structures. At higher wind s
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eing used for a particular project.
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• employing ‘quiet’ practices
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3. Control in transmission—the ne
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8 Negotiation process8.1 The proces
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Features of a negotiated agreementp
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9 Consent/licence conditionsThe pro
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10 Applying the policy to existingi
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11 Reviewing performanceMonitoring
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• the noise instrumentation used.
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ReferencesBerglund B. & Lindvall T.
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activities may include construction
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Spectral characteristics: The frequ
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Table A1. Assessment steps1. Do a p
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In this case, the amenity criterion
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any assessment period in any season
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In this case the intrusive criterio
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able to show that the wind-induced
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Take the background noise measureme
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Appendix C Procedure for assessing
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The sections below outline the proc
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Appendix D Estimating noise increas
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Table E2. Step procedure for determ
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• hourly or three-hourly cloud ce
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Table E7. Aerodynamic roughness of
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Appendix FPercentage occurrence of
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282000 1354000 20-25284000 1354000
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394000 1362000 45-50256000 1364000
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366000 1372000 45-50368000 1372000
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338000 1382000 25-30340000 1382000
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310000 1392000 20-25312000 1392000
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282000 1402000 25-30284000 1402000
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394000 1410000 20-25256000 1412000
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366000 1420000 20-25368000 1420000
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338000 1430000 15-20340000 1430000
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310000 1440000 20-25312000 1440000
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282000 1450000 20-25284000 1450000
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November 2004 (PDF 11.6 MB) - Barrick Gold Corporation

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