ODOUR IMPACT ASSESSMENT - NSW Environment & Heritage · A PEL Company ODOUR IMPACT ASSESSMENT...

A PEL Company

ODOUR IMPACT ASSESSMENT

PERISHER VALLEY WASTE TRANSFER STATION

National Parks and Wildlife Group – NSW DECCW

Job No: 5628

25 February 2011

5628_WTS_Perisher_FINAL_250211.docx ii

National Parks and Wildlife Group – NSW DECCW | PAEHolmes Job 5628

PROJECT TITLE: PERISHER VALLEY WASTE TRANSFER

STATION

JOB NUMBER: 5628

PREPARED FOR: Ryan Petrov

NATIONAL PARKS AND WILDLIFE GROUP

– NSW DECCW

PREPARED BY: K. Hill

QA PROCEDURES CHECKED BY: P. Henschke

APPROVED FOR RELEASE BY: A. Todoroski

DISCLAIMER & COPYRIGHT: This report is subject to the copyright

statement located at www.paeholmes.com ©

Queensland Environment Pty Ltd trading as

PAEHolmes ABN 86 127 101 642

DOCUMENT CONTROL

VERSION DATE PREPARED BY REVIEWED BY

DRAFT 01 23/02/11 K. Hill J. Barnett

FINAL 01 25/02/11 P. Henschke

Queensland Environment Pty Ltd trading as

PAEHolmes ABN 86 127 101 642

SYDNEY:

Suite 203, Level 2, Building D

240 Beecroft RD

Epping, NSW 2121

Ph: +61 2 9870 0900

Fax: +61 2 9870 0999

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PO Box 3306, South Brisbane, Qld 4101

Ph: +61 7 3004 6400

Fax: +61 7 3844 5858

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72 North Terrace, Littlehampton SA, 5250

PO Box 1230, Littlehampton SA, 5250

Ph: +61 8 8391 4032

Email: [email protected]

Website: www.paeholmes.com

http://www.paeholmes.com/

mailto:[email protected]

http://www.paeholmes.com/

5628_WTS_Perisher_FINAL_250211.docx iii


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further assumed that normal activities were being undertaken at the site on the day of the site

visit(s), unless explicitly stated otherwise.

5628_WTS_Perisher_FINAL_250211.docx iv


TABLE OF CONTENTS

1 INTRODUCTION 1

2 PROJECT DESCRIPTION 1 2.1 Background 1 2.2 Proposed Operation 4

3 AIR QUALITY ISSUES 4 3.1 Measuring odour concentration 4 3.2 Odour criteria 5

4 CLIMATE AND METEOROLOGY 7 4.1 Climatic Conditions 7 4.2 Wind speed and direction 7 4.3 Atmospheric Stability 10

5 EMISSIONS TO AIR 10

6 APPROACH TO ASSESSMENT 11

7 MODELLING RESULTS 12

8 CONCLUSION 13

9 REFERENCES 14

APPENDIX A A-1

APPENDIX B B-1

APPENDIX C C-1

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LIST OF TABLES

Table 3.1: Odour criteria ................................................................................................... 6

Table 4.1: Temperature, Humidity and Rainfall data for Perisher Valley Ski Centre ................... 7

Table 4.2: Summary of meteorological parameters used in this study ..................................... 8

Table 4.3: Frequency of occurrence of stability classes at Perisher Valley WTS (TAPM 2010) ... 10

Table 5.1: Summary of odour measurements from active tipping face, Eastern Creek Landfill. 10

Table 6.1: Source parameters and emission rates used for odour modelling .......................... 11

Table 7.1: Predicted odour concentrations at sensitive receptors .......................................... 12

LIST OF FIGURES

Figure 1: Location of existing site and nearest sensitive receptors .......................................... 2

Figure 2: Proposed site layout ........................................................................................... 3

Figure 3: Annual and Seasonal windroses ........................................................................... 9

Figure 4: Predicted 99th percentile nose-response average ground level odour concentrations . 13

5628_WTS_Perisher_FINAL_250211.docx 1


1 INTRODUCTION

This report has been prepared by PAEHolmes for the National Parks and Wildlife Service (NPWS)

of the Department of Environment, Climate Change and Water (DECCW). It presents an odour

impact assessment for the proposed Waste Transfer Station (WTS) to be constructed and

operated at Perisher Valley, NSW.

The report comprises the following components:

a description of the project;

discussion of air quality issues related to the project;

a description of the local meteorological conditions at the site;

a description of modelling parameters for proposed operations;

results of dispersion modelling; and

discussion of predicted impacts.

2 PROJECT DESCRIPTION

2.1 Background

As part of upgrades to the facilities at Perisher Valley, the NPWS will build a waste transfer

station (WTS) to replace the current waste disposal system for the surrounding villages of

Perisher Valley, Smiggin Holes and Charlotte Pass. The site will be located in the southeast

corner of the new Perisher Valley Services Precinct (see Figure 1).

The purpose of this facility is to replace the current waste disposal system of bins located

throughout the Perisher Valley, Smiggin Holes and Charlotte Pass resorts. The proposed facility

would enable a regular collection of rubbish from the surrounding businesses to be brought to

this site for sorting and transfer off-site. The proposed site is expected to accept approximately

1,500 tonnes of waste and recyclables per year.

Figure 1 shows the proposed location of the facility and the nearest sensitive receptors, and

the proposed site layout is shown in Figure 2.



Figure 1: Location of existing site and nearest sensitive receptors



Figure 2: Proposed site layout



2.2 Proposed Operation

The proposed WTS is estimated to accept up to 1,500 tonnes of waste and recyclables per year.

It is estimated there will never be more than 2,500 m3 of materials stored on-site at any one

time.

The materials received would primarily consist of putrescible waste and recycling which will be

sorted within the enclosed building. The operation will peak during the 16 week ski season from

June to October. Waste is expected to be accepted between 7:00am to 8:00am and 10:00am

to 7:00pm seven days a week, with potentially odour causing waste transferred out at least

every 2 days during peak season and up to every 20 days during off-peak.

3 AIR QUALITY ISSUES

3.1 Measuring odour concentration

There are no instrument-based methods that can measure an odour response in the same way

as the human nose. Therefore “dynamic olfactometry” is typically used as the basis of odour

management by regulatory authorities.

Dynamic olfactometry is the measurement of odour by presenting a sample of odorous air to a

panel of people with decreasing quantities of clean odour-free air. The panellists then note

when the smell becomes detectable. The correlations between the known dilution ratios and the

panellists‟ responses are then used to calculate the number of dilutions of the original sample

required to achieve the odour detection threshold. The units for odour measurement using

dynamic olfactometry are “odour units” (ou) which are dimensionless and are effectively

“dilutions to threshold”. The detectability of an odour (i.e. whether someone smells it or not) is

a sensory property that refers to the theoretical minimum concentration that produces an

olfactory response or sensation. The theoretical minimum concentration is referred to as the

“odour threshold” and is the definition of 1 odour unit (ou). Therefore, an odour concentration

of less than 1 ou would theoretically mean there is no odour.

Olfactometry can involve a “forced choice” end point where panellists identify from multiple

sniffing ports the one where odour is detected, regardless of whether they are sure they can

detect odour. There is also a “yes/no” or “free choice” endpoint where panellists are required to

say whether or not they can detect odour from one sniffing port. Forced choice olfactometry

generally detects lower odour levels than yes/no olfactometry and is the preferred method for

use in Australia.

In both cases, odorous air is presented to the panellists in increasing concentrations. For the

forced-choice method, where there are multiple ports for each panellist, the concentration is

increased until all panellists consistently distinguish the port with the sample from the blanks.

For a yes/no olfactometer (which has only one sniffing port) one method used is to increase the

concentration of odour in the sample until all panellists respond. The sample is then shut off

and once all panellists cease to respond, the sample is introduced again at random dilutions and

the panellists are asked whether they can detect the odour.

During the 1990s significant research was undertaken in Europe to refine the olfactometry

method. This led to considerable improvements in panellist management and standardisation

and, importantly, clear criteria for repeatability and reproducibility of results.

The draft Committé Européen de Normalisation (CEN) odour measurement standard (CEN,

1996) is a performance based standard with strict criteria for repeatability and reproducibility.



The Australian standard (introduced in September 2001) (Standards Australia, 2001) is

based upon the CEN standard.

As with all sensory methods of identification there is variability between individuals.

Consequently the results of odour measurements depend on the way in which the panel is

selected and the way in which the panel responses are interpreted.

3.2 Odour criteria

The determination of air quality goals for odour and their use in the assessment of odour

impacts is recognised as a difficult topic in air pollution science. The topic has received

considerable attention in recent years and the procedures for assessing odour impacts using

dispersion models have been refined considerably. There is still considerable debate in the

scientific community about appropriate odour goals as determined by dispersion modelling.

The NSW Department of Environment and Climate Change and Water (DECCW) has developed

odour goals and the way in which they should be applied with dispersion models to assess the

likelihood of nuisance impact arising from the emission of odour.

There are two factors that need to be considered:

what "level of exposure" to odour is considered acceptable to meet current community

standards in NSW and

how can dispersion models be used to determine if a source of odour meets the goals which

are based on this acceptable level of exposure

The term "level of exposure" has been used to reflect the fact that odour impacts are

determined by several factors the most important of which are (the so-called FIDO factors):

the Frequency of the exposure

the Intensity of the odour

the Duration of the odour episodes and

the Offensiveness of the odour

In determining the offensiveness of an odour it needs to be recognised that for most odours the

context in which an odour is perceived is also relevant. Some odours, for example the smell of

sewage, hydrogen sulfide, butyric acid, landfill gas etc., are likely to be judged offensive

regardless of the context in which they occur. Other odours such as the smell of jet fuel may be

acceptable at an airport, but not in a house, and diesel exhaust may be acceptable near a busy

road, but not in a restaurant.

In summary, whether or not an individual considers an odour to be a nuisance will depend on the

FIDOL factors outlined above and although it is possible to derive formulae for assessing odour

annoyance in a community, the response of any individual to an odour is still unpredictable.

Odour goals need to take account of these factors.

The DECCW (formerly NSW DEC) Approved Methods (NSW DEC, 2005) include ground-level

concentration (glc) criterion for complex mixtures of odorous air pollutants. They have been

refined by the DECCW to take account of population density in the area. Table 3.1 lists the

odour glc criterion to be exceeded not more than 1% of the time, for different population

densities.



The difference between odour goals is based on considerations of risk of odour impact rather

than differences in odour acceptability between urban and rural areas. For a given odour level

there will be a wide range of responses in the population exposed to the odour. In a densely

populated area there will therefore be a greater risk that some individuals within the community

will find the odour unacceptable than in a sparsely populated area.

The Perisher Valley locality can be considered as rural due to the sparse population. As shown in

Table 3.1, the relevant impact assessment criteria at the sensitive receptors would be 4-5 ou

(NSW DEC, 2005), however, this assessment has used the most stringent criteria of 2 ou.

Table 3.1: Odour criteria

Population of affected community Odour criteria

(ou)

~2 7

~10 6

~30 5

~125 4

~500 3

Urban (2000) and/or schools and hospitals 2

It is common practice to use dispersion models to determine compliance with odour goals. This

introduces a complication because Gaussian dispersion models are only able to directly predict

concentrations over an averaging period of 3-minutes or greater. The human nose, however,

responds to odours over periods of the order of a second or so. During a 3-minute period,

odour levels can fluctuate significantly above and below the mean depending on the nature of

the source.

To determine more rigorously the ratio between the one-second peak concentrations and three-

minute and longer period average concentrations (referred to as the peak-to-mean ratio) that

might be predicted by a Gaussian dispersion model, the DECCW commissioned a study by

Katestone Scientific Pty Ltd (1995, 1998). This study recommended peak-to-mean ratios

for a range of circumstances. The ratio is also dependent on atmospheric stability (discussed in

Section 5.2) and the distance from the source. For this assessment we have assumed a peak-

to-mean ratio of 2.5 for stability classes A to D and 2.3 for stability classes E to F for emissions

from the area source. A summary of the factors is provided in Appendix A.

The DECCW Approved Methods take account of this peaking factor and the goals shown in

Table 3.1 are based on nose-response time.



4 CLIMATE AND METEOROLOGY

This section describes the local dispersion and meteorological conditions in the study area.

Information is shown on climatic conditions, prevailing wind patterns and atmospheric stability.

4.1 Climatic Conditions

A range of climatic information collected from the Perisher Valley Ski Centre Bureau of

Meteorology (BoM) weather station is presented in Table 4.1 (Bureau of Meteorology,

2010). The Perisher Valley Ski Centre weather station is located approximately 500 metres

northwest of the proposed waste transfer station. Temperature and humidity data consist of

monthly averages of 9 am and 3 pm readings. Also presented are monthly averages of

maximum and minimum temperatures. Rainfall data consist of mean monthly rainfall and the

average number of rain days per month.

The annual average maximum and minimum temperatures experienced at Perisher Valley Ski

Centre are 10.7°C and 0.4°C respectively. On average January is the hottest month with an

average maximum temperature of 19.2 °C. July is the coldest month, with average minimum

temperature of -5.0°C.

The annual average relative humidity reading collected at 9 am from Perisher Valley is 75% and

at 3 pm the annual average is 70%.

Rainfall data shows that August is the wettest month with an average rainfall of 253.3 mm over

an average 12.6 days. The average annual rainfall is 1739.0 mm with an average of 113.1 rain

days per year.

Table 4.1: Temperature, Humidity and Rainfall data for Perisher Valley Ski Centre

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Ann.

Daily Maximum Temperature (oC)

Mean 19.2 18.5 15.7 11.7 7.9 3.9 2.4 3.4 5.8 9.7 13.9 15.9 10.7

Daily Minimum Temperature (oC)

Mean 5.8 5.3 3.3 0.3 -1.5 -3.5 -5.0 -4.3 -2.0 0.2 2.0 3.8 0.4

9am Mean Temperature (oC) and Relative Humidity (%)

Temp 13.3 12.9 10.6 7.5 4.0 0.1 -1.3 -0.1 2.5 5.6 8.8 11.0 6.2

Humidity 66 70 70 70 77 89 91 88 81 71 67 63 75

3pm Mean Temperature (oC) and Relative Humidity (%)

Temp 16.5 16.3 13.4 9.2 5.5 2.0 0.7 1.7 4.0 7.4 11.5 13.5 8.5

Humidity 60 63 62 67 73 84 88 84 78 69 61 56 70

Rainfall (mm)

Mean 97.2 73.1 114.5 97.5 130.9 167.8 186.1 235.3 228.8 172.8 135.6 91.3 1739

Rain days

Mean 6.0 6.2 7.8 7.5 9.8 12.1 11.9 12.6 12.9 10.7 9.3 6.3 113.1

Station number: 071072; Commenced 1976; Status: Closed (21/07/10); Elevation: 1735m AHD; Latitude: 36.40;

Longitude: 148.41

Source: Bureau of Meteorology (2011).

4.2 Wind speed and direction

The dispersion model used for this assessment requires information about the characteristics of

the area. In particular, data are required on wind speed, wind direction and atmospheric

stability categories expected in the area and mixing height.



Due to the unavailability of a complete year of local meteorological data, the approach taken in

this assessment was to create a set of site-specific synthetic meteorological data for the site

using The Air Pollution Model (TAPM) developed by CSIRO.

TAPM is a prognostic model which includes synoptic information determined from the six hourly

Limited Area Prediction System (LAPS) (Puri et al., 1997). The model is discussed further in

the user manual which accompanies the model (see Hurley, 1999).

A summary of the parameters used as part of the meteorological component of this study are

shown in Table 4.2.

Table 4.2: Summary of meteorological parameters used in this study

TAPM (v.4.0.4) Parameter values

Number of grids (spacing) 4 (30km, 10km, 3km, 1km)

Number of grid point 25 x 25 x 25

Year of analysis Jan 2010 to December 2010

Centre of analysis 36°44‟S 148°24‟E

Windroses of data collected from the TAPM generated data for the period January 2010 to

December 2010 are presented in Figure 3. It is noted that TAPM prognostic data have the

tendency to underestimate the level of calm periods. However, given the elevated and

mountainous nature of the study area, it may be unlikely that there are a significant percentage

of calm periods in reality. The annual average wind speed for this data is 6.0 m/s, with calm

wind speeds of less than 0.5 m/s present 0.4% of the time.

The windroses show that on an annual basis winds are predominantly from the west-northwest,

northwest and west. This pattern is very similar for all seasons.



Figure 3: Annual and Seasonal windroses



4.3 Atmospheric Stability

To use the TAPM wind data to assess dispersion it is necessary to also have available data on

atmospheric stabilitya. Table 4.3 shows the frequency of occurrence of the stability categories

calculated using sigma theta, the standard deviation of the fluctuation in wind direction from the

TAPM generated data. The high frequency of D class stabilities (72.0%) indicates that dispersion

conditions will be such that odours would disperse quickly for a significant proportion of the

time.

Joint wind speed, wind direction and stability class frequency tables generated from the Perisher

Valley TAPM data are presented in Appendix B.

Table 4.3: Frequency of occurrence of stability classes at Perisher Valley WTS (TAPM 2010)

Stability Class 2010

A 0.0

B 3.9

C 11.6

D 72.0

E 6.5

F 6.0

Total 100

5 EMISSIONS TO AIR

In the absence of any on-site odour measurement data, data for fresh putrescible waste have

been used in this assessment and these have been sourced from odour sampling data taken

from Eastern Creek Landfill (PAEHolmes, 2010).

Odour measurements were taken from an active tipping face at the Eastern Creek landfill on 28

July 2009. Three sets of odour measurements were taken at random locations along the active

tipping face. Table 5.1 summarises the measurements taken.

Table 5.1: Summary of odour measurements from active tipping face, Eastern Creek

Landfill.

ID Sample odour concentration (ou) Specific odour emission rate

(SOER) (ou.m3/m2/s)

1 3,330 1.91

2 630 0.361

3 6,210 3.65

The sample results show a ten-fold variation in the odour emission rate with an average odour

emission rate of 1.97 ou.m3/m2/s. As a conservative approach the maximum measured odour

emission rate of 3.65 ou.m3/m2/s has been applied for this assessment.

Activities relating to the putrescible waste would occur within the enclosed building. Putrescible

waste is kept separate from the other waste streams accepted on-site. It is estimated the

putrescible waste emplacement area is approximately 49 m2. For the purposes of this

a In dispersion modelling atmospheric stability class is used to categorise the rate at which a plume will disperse. In the

Pasquill-Gifford-Turner stability class assignment scheme there are six stability classes A through to F. Class A relates to

unstable conditions such as might be found on a sunny day with light winds. In such conditions plumes will spread rapidly.

Class F relates to stable conditions, such as occur when the sky is clear, the winds are light and an inversion is present. Plume

spreading is slow in these circumstances. The intermediate classes B, C, D and E relate to intermediate dispersion conditions.



assessment we have modelled the odour emitted from the waste stockpile as an area source

emitting continuously for the modelling period and have not taken into account the building

enclosure.

6 APPROACH TO ASSESSMENT

Potential impacts have been assessed using AUSPLUME Version 6. AUSPLUME is a Gaussian

dispersion model developed on behalf of the Victorian EPA (VEPA, 1986) and is based on the

United States Environmental Protection Agency's Industrial Source Complex (ISC) model.

AUSPLUME has been used extensively for assessing odour impacts and is the recommended

model in the NSW DECCW guidelines for air quality impact assessments (NSW DEC, 2005).

Based on the estimated emissions, a constant emission rate of 3.65 ou.m2/m3/s was used with

a variable emission input file created for the AUSPLUME modelling to reflect the peak-to-mean

ratios of the area source for the different stability classes in the meteorological file. The 1-hour

average ground-level odour concentrations have been predicted at a set of receptors arranged

in a grid of 25 m spacing. Additional discrete receptors have been placed at the neighbouring

facilities to determine the impact more accurately at these locations.

Meteorological data generated by TAPM as described in Section 4 were used in conjunction with

the emissions data discussed in Section 5. Table 6.1 summarises the modelling parameters

used in this assessment.

Table 6.1: Source parameters and emission rates used for odour modelling

Modelling parameters Source

Source Type Area

Source corner locations (MGA)

(easting, northing) (m)

626808, 5970139

626810, 5970142

626821, 5970134

626819, 5970131

Initial vertical spread (m) 1

An example output from the AUSPLUME modelling file is shown in Appendix C.



7 MODELLING RESULTS

Table 7.1 presents the 99th percentile predicted nose-response average concentrations for the

sensitive receptors shown in Figure 1.

Table 7.1: Predicted odour concentrations at sensitive receptors

Discrete Receptor ID 99th percentile odour level (ou)

1 1

2 0

3 0

4 1

5 0

6 0

7 0

8 0

9 0

10 0

11 0

12 0

Figure 4 presents a contour plot of the 99th percentile nose-response average predicted ground

level odour concentrations.

The predicted 99th percentile nose-response average ground level odour concentrations show

that the 2 ou criterion is not exceeded at the nearby sensitive receptors.

As a conservative assessment, the model output has not considered the management strategies

that would be in practice at the facility. With these considerations in place the impact would be

further reduced.

Odour management strategies that would be implemented at the facility include;

keeping putrescible and non-putrescible waste stream(s) separate;

ensuring the floor area is cleaned daily;

keeping roller doors closed between deliveries if required to limit the escape of odour from

the building; and

minimising putrescible waste left on-site.



Species:

Odour

Location:

Perisher Valley

Scenario:

Operational

Percentile:

99th

Averaging Time:

1-hr

Model Used:

AUSPLUME

Units:

ou

Guideline:

2 ou (shown as RED line)

Met Data:

2010

Plot:

K Hill

Figure 4: Predicted 99th percentile nose-response average ground level odour concentrations

8 CONCLUSION

This report has assessed the potential odour impacts associated with the proposed operation of

the Perisher Valley WTS. Dispersion modelling has been used to predict off-site impacts from

the odour emissions due to the acceptance of putrescible waste.

A conservative odour emission rate was used based on the maximum SOER measured at a

landfill active tipping face (dumping fresh putrescible waste). Although all of the on-site

activities will be conducted within an enclosed building, the odour source was classified as an

open area source. Addition of the building enclosure and other management strategies would

be expected to reduce the potential impact at neighbouring receptors.

The dispersion modelling indicates that the predicted ground level odour concentrations are

unlikely to exceed the applicable assessment criteria at nearby receptors for the proposed

operations.



9 REFERENCES

Bureau of Meteorology (2010)

Climatic Averages Australia, Bureau of Meteorology website

http://www.bom.gov.au/climate/averages/

CEN (1996)

“Document 064/e – Draft European Standard – Odour Concentration Measurement by

Dynamic Olfactometry” CEN TC264/WG2 „Odours‟ Final WG2 Draft prEN”, Committé

Européen de Normalisation,Brussels.

Hurley, P. J (1999) „The Air Pollution Model (TAPM) Version 1: User Manual‟, CSIRO Research Internal Paper No. 12, October 1999.

Katestone Scientific Pty Ltd (1995)

"The evaluation of peak-to-mean ratios for odour assessments" Volume 1 - Main Report,

May 1995

Katestone Scientific Pty Ltd (1998)

“Peak-to-Mean Concentration Ratios for Odour Assessments”.

NSW DEC (2005)

“Approved Methods for the Modelling and Assessment of Air Pollutants in NSW”, August

2005

NSW DEC (2006)

“Assessment and management of odours from stationary sources in NSW”, November

2006

PAEHolmes (2010)

“Air Quality Assessment – Odour and Dust: Proposed Modification to the Northern

Extension Landfill at Eastern Creek”, Prepared by PAEHolmes for National Environmental

Consulting Services, March 2010.

Puri, et al. (1997)

‟The BMRC Limited Area Prediction System, LAPS‟. Aust. Met. Mag., 47, 203-223.

Standards Australia (2001)

“Stationary source emissions - Part 3: Determination of odour concentration by dynamic

olfactometry” First published as AS/NZS 4323.3:2001. Standards Australia International

Ltd, GPO Box 5420, Sydney, NSW 2001 and Standards New Zealand, Private Bag 2439,

Wellington 6020.

VEPA (1986)

"The Ausplume Gaussian Plume Dispersion Model", Environment Protection Authority,

Olderfleet Buildings, 477 Collins Street, Melbourne Victoria 3000, Publication Number 264.

http://www.bom.gov.au/climate/averages/

5628_WTS_Perisher_FINAL_250211.docx A-1


APPENDIX A

Peak-to-mean ratios

5628_WTS_Perisher_FINAL_250211.docx A-2


A.1 PEAK-TO-MEAN RATIOS

The following table shows recommended factors for estimating peak concentrations for different

source types, stabilities and distances.

Table A1: Factors for estimating peak concentration in flat terrain

Source Type Pasquill-Gifford stability class Near field

P/M60*

Far field

P/M60

Area A, B, C, D 2.5 2.3

E, F 2.3 1.9

Line A – F 6 6

Surface point A, B, C 12 4

D, E, F 25 7

Tall wake-free point A, B, C 17 3

D, E, F 35 6

Wake-affected point A – F 2.3 2.3

Volume A – F 2.3 2.3

*Ratio of peak 1-second average concentrations to mean 1-hour average concentrations

5628_WTS_Perisher_FINAL_250211.docx B-1


APPENDIX B

Joint wind speed, wind direction and stability class frequency tables



STATISTICS FOR FILE: C:\Jobs\Perisher Waste transfer\TAPM\t010a_m01301301.apl

MONTHS: All

HOURS : All

OPTION: Frequency

PASQUILL STABILITY CLASS 'A'

Wind Speed Class (m/s)

0.50 1.50 3.00 4.50 6.00 7.50 9.00 GREATER

WIND TO TO TO TO TO TO TO THAN

SECTOR 1.50 3.00 4.50 6.00 7.50 9.00 10.50 10.50 TOTAL

-----------------------------------------------------------------------------------------

NNE 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000

NE 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000

ENE 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000

E 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000

ESE 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000

SE 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000

SSE 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000

S 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000

SSW 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000

SW 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000

WSW 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000

W 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000

WNW 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000

NW 0.000000 0.000114 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000114

NNW 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000

N 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000

CALM 0.000000

-----------------------------------------------------------------------------------------

TOTAL 0.000000 0.000114 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000114

MEAN WIND SPEED (m/s) = 1.90

NUMBER OF OBSERVATIONS = 1

PASQUILL STABILITY CLASS 'B'


0.50 1.50 3.00 4.50 6.00 7.50 9.00 GREATER


SECTOR 1.50 3.00 4.50 6.00 7.50 9.00 10.50 10.50 TOTAL

-----------------------------------------------------------------------------------------

NNE 0.000114 0.000228 0.000228 0.000228 0.000000 0.000000 0.000000 0.000000 0.000799

NE 0.000000 0.000685 0.002511 0.000685 0.000000 0.000000 0.000000 0.000000 0.003881

ENE 0.000114 0.001142 0.002397 0.001027 0.000000 0.000000 0.000000 0.000000 0.004680

E 0.000114 0.001370 0.001142 0.000457 0.000000 0.000000 0.000000 0.000000 0.003082

ESE 0.000000 0.001484 0.002968 0.000457 0.000000 0.000000 0.000000 0.000000 0.004909

SE 0.000342 0.000457 0.000913 0.000457 0.000000 0.000000 0.000000 0.000000 0.002169

SSE 0.000114 0.000457 0.000685 0.000228 0.000000 0.000000 0.000000 0.000000 0.001484

S 0.000114 0.001370 0.000342 0.000228 0.000000 0.000000 0.000000 0.000000 0.002055

SSW 0.000114 0.000799 0.000342 0.000000 0.000000 0.000000 0.000000 0.000000 0.001256

SW 0.000000 0.000457 0.000228 0.000342 0.000000 0.000000 0.000000 0.000000 0.001027

WSW 0.000000 0.000342 0.000913 0.000000 0.000000 0.000000 0.000000 0.000000 0.001256

W 0.000000 0.000799 0.000799 0.000913 0.000000 0.000000 0.000000 0.000000 0.002511

WNW 0.000000 0.000457 0.001484 0.000342 0.000000 0.000000 0.000000 0.000000 0.002283

NW 0.000114 0.000913 0.001027 0.000342 0.000000 0.000000 0.000000 0.000000 0.002397

NNW 0.000000 0.001484 0.002511 0.000114 0.000000 0.000000 0.000000 0.000000 0.004110

N 0.000000 0.000457 0.000228 0.000000 0.000000 0.000000 0.000000 0.000000 0.000685

CALM 0.000228

-----------------------------------------------------------------------------------------

TOTAL 0.001142 0.012900 0.018721 0.005822 0.000000 0.000000 0.000000 0.000000 0.038813





PASQUILL STABILITY CLASS 'C'


0.50 1.50 3.00 4.50 6.00 7.50 9.00 GREATER


SECTOR 1.50 3.00 4.50 6.00 7.50 9.00 10.50 10.50 TOTAL

-----------------------------------------------------------------------------------------

NNE 0.000342 0.000685 0.001826 0.002511 0.000571 0.000342 0.000000 0.000000 0.006279

NE 0.000342 0.001712 0.001941 0.002169 0.000114 0.000000 0.000000 0.000000 0.006279

ENE 0.000342 0.001142 0.003539 0.001484 0.000571 0.000000 0.000000 0.000000 0.007078

E 0.000114 0.001712 0.002283 0.002169 0.000000 0.000000 0.000000 0.000000 0.006279

ESE 0.000457 0.001826 0.004224 0.001370 0.000000 0.000000 0.000000 0.000000 0.007877

SE 0.000685 0.002055 0.002854 0.001142 0.000000 0.000000 0.000000 0.000000 0.006735

SSE 0.000342 0.001598 0.002055 0.001142 0.000000 0.000000 0.000000 0.000000 0.005137

S 0.000342 0.001826 0.002511 0.001826 0.000342 0.000000 0.000000 0.000000 0.006849

SSW 0.000457 0.000571 0.001941 0.000799 0.000114 0.000114 0.000000 0.000000 0.003995

SW 0.000114 0.000571 0.000799 0.001256 0.001027 0.000000 0.000000 0.000000 0.003767

WSW 0.000457 0.000913 0.001826 0.002055 0.000114 0.000228 0.000000 0.000000 0.005594

W 0.000457 0.001712 0.003539 0.003311 0.000000 0.000342 0.000000 0.000000 0.009361

WNW 0.000571 0.000913 0.002854 0.006164 0.002511 0.001484 0.000000 0.000000 0.014498

NW 0.000457 0.000685 0.002397 0.004795 0.002740 0.000228 0.000000 0.000000 0.011301

NNW 0.000342 0.000457 0.003196 0.003196 0.000913 0.000114 0.000000 0.000000 0.008219

N 0.000913 0.000799 0.003425 0.001027 0.000114 0.000114 0.000000 0.000000 0.006393

CALM 0.000228

-----------------------------------------------------------------------------------------

TOTAL 0.006735 0.019178 0.041210 0.036416 0.009132 0.002968 0.000000 0.000000 0.115868



PASQUILL STABILITY CLASS 'D'


0.50 1.50 3.00 4.50 6.00 7.50 9.00 GREATER


SECTOR 1.50 3.00 4.50 6.00 7.50 9.00 10.50 10.50 TOTAL

-----------------------------------------------------------------------------------------

NNE 0.002169 0.005137 0.007534 0.009475 0.014155 0.004795 0.000799 0.000000 0.044064

NE 0.001712 0.005023 0.008790 0.005594 0.006735 0.000457 0.000000 0.000000 0.028311

ENE 0.002511 0.004338 0.005137 0.002740 0.000571 0.000000 0.000000 0.000000 0.015297

E 0.001826 0.002740 0.003196 0.003196 0.000000 0.000000 0.000000 0.000000 0.010959

ESE 0.000799 0.003196 0.002626 0.001370 0.000000 0.000000 0.000000 0.000000 0.007991

SE 0.002283 0.002511 0.003539 0.002626 0.001256 0.000571 0.000799 0.001256 0.014840

SSE 0.001941 0.001142 0.002740 0.001941 0.001484 0.000342 0.000000 0.000000 0.009589

S 0.001142 0.001826 0.001370 0.003767 0.002283 0.000913 0.000457 0.001142 0.012900

SSW 0.000685 0.001598 0.001712 0.005479 0.006164 0.002055 0.000457 0.000114 0.018265

SW 0.002055 0.002055 0.001256 0.004338 0.007534 0.010731 0.006164 0.001256 0.035388

WSW 0.001598 0.003082 0.001712 0.003653 0.006963 0.008904 0.012557 0.003767 0.042237

W 0.002740 0.005365 0.006393 0.008105 0.015868 0.015753 0.017009 0.020091 0.091324

WNW 0.001484 0.003653 0.009247 0.022146 0.031849 0.038242 0.023402 0.030936 0.160959

NW 0.002511 0.003881 0.005479 0.013699 0.030822 0.030936 0.025228 0.013699 0.126256

NNW 0.002511 0.004224 0.006963 0.006164 0.014726 0.012557 0.007420 0.006393 0.060959

N 0.002169 0.004680 0.005365 0.008904 0.007991 0.005137 0.001712 0.000799 0.036758

CALM 0.003767

-----------------------------------------------------------------------------------------

TOTAL 0.030137 0.054452 0.073059 0.103196 0.148402 0.131393 0.096005 0.079452 0.719863





PASQUILL STABILITY CLASS 'E'


0.50 1.50 3.00 4.50 6.00 7.50 9.00 GREATER


SECTOR 1.50 3.00 4.50 6.00 7.50 9.00 10.50 10.50 TOTAL

-----------------------------------------------------------------------------------------

NNE 0.000000 0.000342 0.000342 0.000114 0.000000 0.000000 0.000000 0.000000 0.000799

NE 0.000000 0.000913 0.000114 0.000000 0.000000 0.000000 0.000000 0.000000 0.001027

ENE 0.000457 0.000799 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001256

E 0.000228 0.000685 0.000114 0.000000 0.000000 0.000000 0.000000 0.000000 0.001027

ESE 0.000000 0.000228 0.000000 0.000114 0.000000 0.000000 0.000000 0.000000 0.000342

SE 0.000114 0.000228 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000342

SSE 0.000228 0.000457 0.000457 0.000000 0.000000 0.000000 0.000000 0.000000 0.001142

S 0.000000 0.000571 0.000685 0.000457 0.000000 0.000000 0.000000 0.000000 0.001712

SSW 0.000228 0.000228 0.002169 0.001712 0.000000 0.000000 0.000000 0.000000 0.004338

SW 0.000342 0.000342 0.002169 0.000457 0.000000 0.000000 0.000000 0.000000 0.003311

WSW 0.000685 0.001027 0.001484 0.000114 0.000000 0.000000 0.000000 0.000000 0.003311

W 0.000228 0.001826 0.004680 0.001370 0.000000 0.000000 0.000000 0.000000 0.008105

WNW 0.000228 0.000799 0.004224 0.002626 0.000000 0.000000 0.000000 0.000000 0.007877

NW 0.000114 0.000571 0.005822 0.004909 0.000000 0.000000 0.000000 0.000000 0.011416

NNW 0.000685 0.000685 0.007648 0.001370 0.000000 0.000000 0.000000 0.000000 0.010388

N 0.000228 0.001142 0.005594 0.001941 0.000000 0.000000 0.000000 0.000000 0.008904

CALM 0.000000

-----------------------------------------------------------------------------------------

TOTAL 0.003767 0.010845 0.035502 0.015183 0.000000 0.000000 0.000000 0.000000 0.065297



PASQUILL STABILITY CLASS 'F'


0.50 1.50 3.00 4.50 6.00 7.50 9.00 GREATER


SECTOR 1.50 3.00 4.50 6.00 7.50 9.00 10.50 10.50 TOTAL

-----------------------------------------------------------------------------------------

NNE 0.000000 0.001142 0.000114 0.000000 0.000000 0.000000 0.000000 0.000000 0.001256

NE 0.000000 0.000799 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000799

ENE 0.000000 0.000685 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000685

E 0.000000 0.001142 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.001142

ESE 0.000000 0.000913 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000913

SE 0.000000 0.000457 0.000114 0.000000 0.000000 0.000000 0.000000 0.000000 0.000571

SSE 0.000228 0.000571 0.000114 0.000000 0.000000 0.000000 0.000000 0.000000 0.000913

S 0.000114 0.002055 0.000913 0.000000 0.000000 0.000000 0.000000 0.000000 0.003082

SSW 0.000000 0.002511 0.001484 0.000000 0.000000 0.000000 0.000000 0.000000 0.003995

SW 0.000000 0.003196 0.000913 0.000000 0.000000 0.000000 0.000000 0.000000 0.004110

WSW 0.000228 0.005251 0.001941 0.000000 0.000000 0.000000 0.000000 0.000000 0.007420

W 0.000114 0.004224 0.002854 0.000000 0.000000 0.000000 0.000000 0.000000 0.007192

WNW 0.000000 0.005365 0.002511 0.000000 0.000000 0.000000 0.000000 0.000000 0.007877

NW 0.000000 0.005365 0.001598 0.000000 0.000000 0.000000 0.000000 0.000000 0.006963

NNW 0.000000 0.004680 0.002626 0.000000 0.000000 0.000000 0.000000 0.000000 0.007306

N 0.000000 0.003995 0.001826 0.000000 0.000000 0.000000 0.000000 0.000000 0.005822

CALM 0.000000

-----------------------------------------------------------------------------------------

TOTAL 0.000685 0.042352 0.017009 0.000000 0.000000 0.000000 0.000000 0.000000 0.060046





ALL PASQUILL STABILITY CLASSES


0.50 1.50 3.00 4.50 6.00 7.50 9.00 GREATER


SECTOR 1.50 3.00 4.50 6.00 7.50 9.00 10.50 10.50 TOTAL

-----------------------------------------------------------------------------------------

NNE 0.002626 0.007534 0.010046 0.012329 0.014726 0.005137 0.000799 0.000000 0.053196

NE 0.002055 0.009132 0.013356 0.008447 0.006849 0.000457 0.000000 0.000000 0.040297

ENE 0.003425 0.008105 0.011073 0.005251 0.001142 0.000000 0.000000 0.000000 0.028995

E 0.002283 0.007648 0.006735 0.005822 0.000000 0.000000 0.000000 0.000000 0.022489

ESE 0.001256 0.007648 0.009817 0.003311 0.000000 0.000000 0.000000 0.000000 0.022032

SE 0.003425 0.005708 0.007420 0.004224 0.001256 0.000571 0.000799 0.001256 0.024658

SSE 0.002854 0.004224 0.006050 0.003311 0.001484 0.000342 0.000000 0.000000 0.018265

S 0.001712 0.007648 0.005822 0.006279 0.002626 0.000913 0.000457 0.001142 0.026598

SSW 0.001484 0.005708 0.007648 0.007991 0.006279 0.002169 0.000457 0.000114 0.031849

SW 0.002511 0.006621 0.005365 0.006393 0.008562 0.010731 0.006164 0.001256 0.047603

WSW 0.002968 0.010616 0.007877 0.005822 0.007078 0.009132 0.012557 0.003767 0.059817

W 0.003539 0.013927 0.018265 0.013699 0.015868 0.016096 0.017009 0.020091 0.118493

WNW 0.002283 0.011187 0.020320 0.031279 0.034361 0.039726 0.023402 0.030936 0.193493

NW 0.003196 0.011530 0.016324 0.023744 0.033562 0.031164 0.025228 0.013699 0.158447

NNW 0.003539 0.011530 0.022945 0.010845 0.015639 0.012671 0.007420 0.006393 0.090982

N 0.003311 0.011073 0.016438 0.011872 0.008105 0.005251 0.001712 0.000799 0.058562

CALM 0.004224

-----------------------------------------------------------------------------------------

TOTAL 0.042466 0.139840 0.185502 0.160616 0.157534 0.134361 0.096005 0.079452 1.000000



-------------------------------------------

FREQUENCY OF OCCURENCE OF STABILITY CLASSES

-------------------------------------------

A : 0.0%

B : 3.9%

C : 11.6%

D : 72.0%

E : 6.5%

F : 6.0%

------------------------------

STABILITY CLASS BY HOUR OF DAY

------------------------------

Hour A B C D E F

01 0000 0000 0003 0266 0053 0043

02 0000 0000 0001 0267 0049 0048

03 0000 0000 0002 0260 0046 0057

04 0000 0000 0001 0256 0051 0057

05 0000 0000 0000 0269 0046 0050

06 0000 0000 0002 0311 0023 0029

07 0000 0000 0016 0320 0009 0020

08 0000 0002 0036 0327 0000 0000

09 0000 0010 0064 0291 0000 0000

10 0000 0029 0097 0239 0000 0000

11 0000 0046 0108 0211 0000 0000

12 0001 0059 0108 0197 0000 0000

13 0000 0066 0109 0190 0000 0000

14 0000 0062 0112 0191 0000 0000

15 0000 0041 0125 0199 0000 0000

16 0000 0025 0105 0235 0000 0000

17 0000 0000 0076 0289 0000 0000

18 0000 0000 0033 0317 0012 0003

19 0000 0000 0009 0310 0028 0018

20 0000 0000 0005 0279 0047 0034

21 0000 0000 0001 0268 0055 0041

22 0000 0000 0001 0267 0057 0040

23 0000 0000 0000 0271 0050 0044

24 0000 0000 0001 0276 0046 0042



--------------------------------

STABILITY CLASS BY MIXING HEIGHT

--------------------------------

Mixing height A B C D E F

<=500 m 0000 0196 0818 6079 0572 0526

<=1000 m 0001 0115 0167 0182 0000 0000

<=1500 m 0000 0029 0029 0030 0000 0000

<=2000 m 0000 0000 0001 0015 0000 0000

<=3000 m 0000 0000 0000 0000 0000 0000

>3000 m 0000 0000 0000 0000 0000 0000

----------------------------

MIXING HEIGHT BY HOUR OF DAY

----------------------------

0000 0100 0200 0400 0800 1600 Greater

to to to to to to than

Hour 0100 0200 0400 0800 1600 3200 3200

01 0219 0097 0042 0006 0001 0000 0000

02 0224 0100 0037 0004 0000 0000 0000

03 0237 0093 0029 0004 0002 0000 0000

04 0230 0098 0032 0004 0001 0000 0000

05 0233 0095 0035 0002 0000 0000 0000

06 0238 0090 0035 0001 0001 0000 0000

07 0241 0095 0025 0004 0000 0000 0000

08 0229 0108 0026 0002 0000 0000 0000

09 0181 0104 0076 0004 0000 0000 0000

10 0124 0102 0101 0038 0000 0000 0000

11 0054 0099 0127 0079 0006 0000 0000

12 0027 0083 0139 0101 0014 0001 0000

13 0018 0059 0147 0113 0027 0001 0000

14 0013 0051 0145 0117 0036 0003 0000

15 0011 0057 0142 0115 0036 0004 0000

16 0025 0081 0129 0099 0030 0001 0000

17 0050 0108 0120 0069 0018 0000 0000

18 0113 0121 0098 0032 0001 0000 0000

19 0179 0115 0060 0010 0001 0000 0000

20 0214 0106 0038 0006 0001 0000 0000

21 0218 0089 0049 0009 0000 0000 0000

22 0224 0088 0046 0006 0001 0000 0000

23 0223 0097 0039 0006 0000 0000 0000

24 0221 0094 0036 0013 0001 0000 0000

5628_WTS_Perisher_FINAL_250211.docx C-1


APPENDIX C

AUSPLUME output file



1 ________________

Perisher WTS

________________

Concentration or deposition Concentration

Emission rate units OUV/second

Concentration units Odour_Units

Units conversion factor 1.00E+00

Constant background concentration 0.00E+00

Terrain effects None

Smooth stability class changes? No

Other stability class adjustments ("urban modes") None

Ignore building wake effects? No

Decay coefficient (unless overridden by met. file) 0.000

Anemometer height 10 m

Roughness height at the wind vane site 0.300 m

Averaging time for sigma-theta values 60 min.

DISPERSION CURVES

Horizontal dispersion curves for sources <100m high Sigma-theta

Vertical dispersion curves for sources <100m high Pasquill-Gifford

Horizontal dispersion curves for sources >100m high Briggs Rural

Vertical dispersion curves for sources >100m high Briggs Rural

Enhance horizontal plume spreads for buoyancy? Yes

Enhance vertical plume spreads for buoyancy? Yes

Adjust horizontal P-G formulae for roughness height? Yes

Adjust vertical P-G formulae for roughness height? Yes

Roughness height 0.400m

Adjustment for wind directional shear None

PLUME RISE OPTIONS

Gradual plume rise? Yes

Stack-tip downwash included? Yes

Building downwash algorithm: PRIME method.

Entrainment coeff. for neutral & stable lapse rates 0.60,0.60

Partial penetration of elevated inversions? No

Disregard temp. gradients in the hourly met. file? No

and in the absence of boundary-layer potential temperature gradients

given by the hourly met. file, a value from the following table

(in K/m) is used:

Wind Speed Stability Class

Category A B C D E F

________________________________________________________

1 0.000 0.000 0.000 0.000 0.020 0.035

2 0.000 0.000 0.000 0.000 0.020 0.035

3 0.000 0.000 0.000 0.000 0.020 0.035

4 0.000 0.000 0.000 0.000 0.020 0.035

5 0.000 0.000 0.000 0.000 0.020 0.035

6 0.000 0.000 0.000 0.000 0.020 0.035

WIND SPEED CATEGORIES

Boundaries between categories (in m/s) are: 1.54, 3.09, 5.14, 8.23, 10.80

WIND PROFILE EXPONENTS: "Irwin Rural" values (unless overridden by met. file)

AVERAGING TIMES

1 hour

_____________________________________________________________________________



1 __________________________

Perisher WTS

SOURCE CHARACTERISTICS

__________________________

INTEGRATED POLYGON AREA SOURCE: WASTE

X0(m) Y0(m) Ground El No. Vertices Ver. spread Height

626808 5970139 0m 4 1m 0m

Integrated Polygon Area Source Vertice Locations (in metres)

No. X Y No. X Y

1 626808 5970139 2 626810 5970142

3 626821 5970134 4 626819 5970131

Emission rates by stability and wind speed, in OUV/second per square metre:

Wind speeds (m/s): < 1.5 1.5_ 3.1 3.1_ 5.1 5.1_ 8.2 8.2_10.8 >10.8

Stability A: 9.13E+00 9.13E+00 9.13E+00 9.13E+00 9.13E+00 9.13E+00

Stability B: 9.13E+00 9.13E+00 9.13E+00 9.13E+00 9.13E+00 9.13E+00

Stability C: 9.13E+00 9.13E+00 9.13E+00 9.13E+00 9.13E+00 9.13E+00

Stability D: 9.13E+00 9.13E+00 9.13E+00 9.13E+00 9.13E+00 9.13E+00

Stability E: 8.40E+00 8.40E+00 8.40E+00 8.40E+00 8.40E+00 8.40E+00

Stability F: 8.40E+00 8.40E+00 8.40E+00 8.40E+00 8.40E+00 8.40E+00

No gravitational settling or scavenging.

_____________________________________________________________________________

1 ______________________

Perisher WTS

RECEPTOR LOCATIONS

______________________

The Cartesian receptor grid has the following x-values (or eastings):

626300.m 626325.m 626350.m 626375.m 626400.m 626425.m 626450.m

626475.m 626500.m 626525.m 626550.m 626575.m 626600.m 626625.m

626650.m 626675.m 626700.m 626725.m 626750.m 626775.m 626800.m

626825.m 626850.m 626875.m 626900.m 626925.m 626950.m 626975.m

627000.m 627025.m 627050.m 627075.m 627100.m 627125.m 627150.m

627175.m 627200.m 627225.m 627250.m 627275.m

and these y-values (or northings):

5969500.m 5969525.m 5969550.m 5969575.m 5969600.m 5969625.m 5969650.m

5969675.m 5969700.m 5969725.m 5969750.m 5969775.m 5969800.m 5969825.m

5969850.m 5969875.m 5969900.m 5969925.m 5969950.m 5969975.m 5970000.m

5970025.m 5970050.m 5970075.m 5970100.m 5970125.m 5970150.m 5970175.m

5970200.m 5970225.m 5970250.m 5970275.m 5970300.m 5970325.m 5970350.m

5970375.m 5970400.m 5970425.m 5970450.m 5970475.m

DISCRETE RECEPTOR LOCATIONS (in metres)

No. X Y ELEVN HEIGHT No. X Y ELEVN HEIGHT

1 626793 5970169 0.0 0.0 7 626739 5970075 0.0 0.0

2 626779 5970200 0.0 0.0 8 626710 5970048 0.0 0.0

3 626748 5970184 0.0 0.0 9 626726 5970027 0.0 0.0

4 626824 5970209 0.0 0.0 10 626764 5970024 0.0 0.0

5 626763 5970237 0.0 0.0 11 626763 5969984 0.0 0.0

6 626699 5970126 0.0 0.0 12 626802 5969981 0.0 0.0



_____________________________________________________________________________

METEOROLOGICAL DATA : AUSPLUME METFILE

_____________________________________________________________________________

1 Peak values for the 100 worst cases (in Odour_Units)

Averaging time = 1 hour

Rank Value Time Recorded Coordinates

hour,date (* denotes polar)

1 3.76E+01 08,08/07/10 (626800, 5970150, 0.0)

2 3.69E+01 24,16/02/10 (626825, 5970125, 0.0)

3 3.67E+01 01,19/05/10 (626825, 5970125, 0.0)

4 3.26E+01 20,18/05/10 (626800, 5970150, 0.0)

5 3.22E+01 19,21/06/10 (626825, 5970125, 0.0)

6 2.99E+01 02,20/05/10 (626825, 5970125, 0.0)

7 2.97E+01 24,24/07/10 (626825, 5970125, 0.0)

8 2.89E+01 18,21/06/10 (626825, 5970125, 0.0)

9 2.75E+01 18,04/07/10 (626825, 5970125, 0.0)

10 2.74E+01 23,26/07/10 (626825, 5970125, 0.0)

11 2.73E+01 23,15/11/10 (626825, 5970125, 0.0)

12 2.68E+01 20,04/12/10 (626800, 5970150, 0.0)

13 2.65E+01 05,21/05/10 (626825, 5970125, 0.0)

14 2.63E+01 19,18/05/10 (626800, 5970150, 0.0)

15 2.58E+01 22,09/02/10 (626825, 5970125, 0.0)

16 2.47E+01 03,09/10/10 (626825, 5970125, 0.0)

17 2.45E+01 23,04/07/10 (626825, 5970125, 0.0)

18 2.45E+01 24,04/06/10 (626825, 5970125, 0.0)

19 2.41E+01 09,27/07/10 (626825, 5970125, 0.0)

20 2.40E+01 24,04/07/10 (626825, 5970125, 0.0)

21 2.37E+01 01,17/05/10 (626825, 5970125, 0.0)

22 2.32E+01 22,18/05/10 (626800, 5970125, 0.0)

23 2.30E+01 02,25/07/10 (626825, 5970125, 0.0)

24 2.29E+01 01,05/07/10 (626825, 5970125, 0.0)

25 2.24E+01 01,17/02/10 (626825, 5970125, 0.0)

26 2.23E+01 17,04/07/10 (626825, 5970125, 0.0)

27 2.23E+01 02,19/02/10 (626825, 5970125, 0.0)

28 2.20E+01 24,16/05/10 (626825, 5970125, 0.0)

29 2.19E+01 01,18/05/10 (626800, 5970150, 0.0)

30 2.13E+01 23,16/02/10 (626825, 5970125, 0.0)

31 2.13E+01 20,21/06/10 (626825, 5970125, 0.0)

32 2.11E+01 01,11/02/10 (626825, 5970125, 0.0)

33 2.09E+01 04,05/12/10 (626800, 5970150, 0.0)

34 2.09E+01 24,19/11/10 (626825, 5970125, 0.0)

35 2.09E+01 04,14/12/10 (626825, 5970125, 0.0)

36 2.05E+01 08,21/05/10 (626825, 5970125, 0.0)

37 2.05E+01 02,11/02/10 (626825, 5970125, 0.0)

38 2.04E+01 22,16/03/10 (626825, 5970125, 0.0)

39 2.01E+01 02,05/07/10 (626825, 5970125, 0.0)

40 2.00E+01 20,13/06/10 (626800, 5970150, 0.0)

41 2.00E+01 09,17/05/10 (626825, 5970125, 0.0)

42 1.99E+01 05,14/09/10 (626825, 5970125, 0.0)

43 1.97E+01 04,21/05/10 (626825, 5970125, 0.0)

44 1.97E+01 02,09/02/10 (626825, 5970125, 0.0)

45 1.97E+01 23,31/05/10 (626800, 5970150, 0.0)

46 1.94E+01 21,16/03/10 (626825, 5970125, 0.0)

47 1.94E+01 18,27/03/10 (626825, 5970125, 0.0)

48 1.92E+01 22,07/08/10 (626825, 5970125, 0.0)

49 1.92E+01 03,24/02/10 (626825, 5970125, 0.0)

50 1.90E+01 02,27/07/10 (626825, 5970125, 0.0)

51 1.90E+01 23,24/03/10 (626825, 5970125, 0.0)

52 1.89E+01 18,20/05/10 (626800, 5970150, 0.0)

53 1.89E+01 23,26/03/10 (626825, 5970125, 0.0)

54 1.89E+01 06,08/07/10 (626825, 5970150, 0.0)



55 1.88E+01 01,13/01/10 (626825, 5970125, 0.0)

56 1.87E+01 21,31/03/10 (626825, 5970125, 0.0)

57 1.87E+01 24,26/03/10 (626825, 5970125, 0.0)

58 1.84E+01 21,04/07/10 (626825, 5970125, 0.0)

59 1.82E+01 02,01/02/10 (626825, 5970125, 0.0)

60 1.80E+01 19,20/05/10 (626800, 5970150, 0.0)

61 1.80E+01 05,28/12/10 (626825, 5970125, 0.0)

62 1.79E+01 20,20/11/10 (626825, 5970125, 0.0)

63 1.76E+01 19,20/04/10 (626825, 5970125, 0.0)

64 1.75E+01 22,23/07/10 (626825, 5970150, 0.0)

65 1.74E+01 24,15/11/10 (626825, 5970125, 0.0)

66 1.74E+01 01,27/03/10 (626825, 5970125, 0.0)

67 1.74E+01 02,19/05/10 (626825, 5970125, 0.0)

68 1.74E+01 23,07/07/10 (626800, 5970150, 0.0)

69 1.69E+01 02,17/02/10 (626825, 5970125, 0.0)

70 1.69E+01 04,05/04/10 (626825, 5970125, 0.0)

71 1.67E+01 01,25/07/10 (626825, 5970125, 0.0)

72 1.67E+01 23,07/08/10 (626825, 5970125, 0.0)

73 1.66E+01 20,20/04/10 (626825, 5970125, 0.0)

74 1.66E+01 02,17/05/10 (626825, 5970125, 0.0)

75 1.65E+01 03,05/04/10 (626825, 5970125, 0.0)

76 1.63E+01 02,27/03/10 (626825, 5970125, 0.0)

77 1.62E+01 16,12/02/10 (626825, 5970125, 0.0)

78 1.60E+01 24,07/07/10 (626800, 5970150, 0.0)

79 1.60E+01 23,09/02/10 (626825, 5970125, 0.0)

80 1.59E+01 02,05/12/10 (626800, 5970125, 0.0)

81 1.56E+01 23,19/10/10 (626825, 5970150, 0.0)

82 1.56E+01 18,18/05/10 (626800, 5970150, 0.0)

83 1.55E+01 01,19/02/10 (626825, 5970125, 0.0)

84 1.55E+01 20,19/05/10 (626800, 5970125, 0.0)

85 1.54E+01 17,27/03/10 (626825, 5970125, 0.0)

86 1.53E+01 20,04/07/10 (626825, 5970125, 0.0)

87 1.53E+01 03,05/07/10 (626825, 5970125, 0.0)

88 1.51E+01 21,19/05/10 (626800, 5970125, 0.0)

89 1.50E+01 01,01/02/10 (626825, 5970125, 0.0)

90 1.50E+01 03,19/02/10 (626825, 5970125, 0.0)

91 1.50E+01 03,01/11/10 (626825, 5970125, 0.0)

92 1.49E+01 01,09/02/10 (626825, 5970125, 0.0)

93 1.49E+01 04,24/02/10 (626825, 5970125, 0.0)

94 1.49E+01 22,04/12/10 (626800, 5970125, 0.0)

95 1.48E+01 04,30/03/10 (626825, 5970125, 0.0)

96 1.48E+01 04,01/11/10 (626825, 5970125, 0.0)

97 1.47E+01 23,09/01/10 (626800, 5970150, 0.0)

98 1.45E+01 22,24/03/10 (626825, 5970125, 0.0)

99 1.44E+01 23,09/05/10 (626825, 5970125, 0.0)

100 1.44E+01 06,18/04/10 (626825, 5970125, 0.0)

ODOUR IMPACT ASSESSMENT - NSW Environment & Heritage · A PEL Company ODOUR IMPACT ASSESSMENT...

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