appendix 16 odour assessment (the odour unit, 2012) project number: #w1791l.08 report revision ......

Public Environmental Review Boodarie Waste to Energy and Materials Recovery, Port Hedland

7.13.3 Economic

Profile 7.13.4 TrafficandTransport

Appendix 16 Odour Assessment (The Odour Unit, 2012)

New Energy Corporation P/L

‘Desktop’ Dispersion Modelling

Assessment of Proposed

Waste-to-Energy Facility

Boodarie, Port Hedland WA.

Report

April 2012

The Odour Unit (WA) Pty Limited

THE ODOUR UNIT (WA) PTY LTD

Trading Name: The Odour Unit (WA) Pty Limited ABN: 70 126 439 076 ACN: 126 439 076 Address: Showroom 1/16 Hulme Court, Myaree WA 6154 Office: +61 8 9330 9476 Fax: +61 8 9330 1868 Manager: John Hurley Mobile: 0433 352 173 Email: [email protected]

This document may only be used for the purpose for which it was commissioned and

in accordance with the Terms of Engagement for the commission. This document

should not be used or copied without written authorisation from The Odour Unit (WA)

Pty Ltd and New Energy Corporation P/L.

TOU Project Number: #W1791L.08

Report Revision

Revision Number Date Description

Draft Report (version 1) 12.04.2012 Draft for New Energy Corporation P/L Review

Final Report 18.04.2012 Final Report

Report Preparation

Report Prepared By: J. Hurley

Approved By: T. Schulz

Report Title: ‘Desktop’ Dispersion Modelling Assessment of Proposed Waste-to-Energy Facility

New Energy Corp. P/L. - ‘Desktop’ Dispersion Modelling Assessment of Proposed Waste-to-Energy Facility 2


TABLE OF CONTENTS

1 EXECUTIVE SUMMARY ....................................................................................... 5

2 PROJECT BACKGROUND.................................................................................... 6

3 WTE FACILITY PROPOSED OPERATIONS ............................................................ 9

4 ODOUR EMISSION SOURCE & ODOUR EMISSION RATES....................................... 14

4.1 Odour Concentrations inside the WTE Receivals Building .............................. 16

5 ODOUR CRITERIA AND DISPERSION MODEL GUIDELINES ...................................... 20

6 ODOUR DISPERSION MODELLING METHOD.......................................................... 22

6.1 Meteorological Dataset...................................................................................... 23

6.2 Local Land Use and Topography ...................................................................... 24

6.3 Gridded Receptor File ....................................................................................... 25

6.4 Odour Source Configurations............................................................................ 25

7 RESULTS & DISCUSSION.................................................................................... 26



APPENDICES

Appendix A Meteorological dataset development details

Appendix B Example of Ausplume Modelling Setup (output file)

FIGURES

Figure 1: Boodarie (Port Hedland) Waste-to-Energy Facility Site Location 8

Figure 7.1: Ausplume Fugitive Ground Level Odour Predictions @ 2ou for Boodarie WTE Receivals Building

27

Figure 7.2: Ausplume Fugitive Ground Level Odour Predictions @ 4ou for Boodarie WTE Receivals Building

28

TABLES

Table 4.1.1: Perth (WA) Metropolitan Naturally Ventilated Municipal Waste Transfer Station 2009

17

Table 4.1.2: NSW Metropolitan Forced Extraction Waste Transfer Station 2005 - 2008 18



1 EXECUTIVE SUMMARY

This report describes the outcomes of a study carried out by The Odour Unit WA Pty

Limited (TOU) for New Energy Corporation P/L (NEC) on the potential for odour

emissions from a proposed Waste-to-Energy (WTE) Facility to be located in Boodarie,

Port Hedland WA.

The purpose of the study was to predict the potential ground level odour impacts from

the proposed WTE Facility by modelling a series of ground level odour impacts based

on a range of odour emissions representing the influent Waste Transfer Station at the

facility. The study will form part of NEC’s Public Environmental Review (PER)

submission to the Environmental Protection Authority of Western Australia (EPA)

seeking a licence to build and operate the proposed WTE facility.

Four odour strength (ou) and corresponding odour emission (ou.m3/s) scenarios were

assessed against a site-representative meteorological dataset. The odour scenarios

assessed were 300ou, 500ou, 1,000ou and 2,000ou with each odour concentration

multiplied by a constant volumetric flow of 6m3/s. This volumetric flow represented the

combined fugitive odour emissions estimated from the sites’ WTE receivals building.

The volumetric flow was assumed to be minimised by the existing negative pressure

inside the building providing up to 3 air changes per hour. Under negative pressure it

was assumed that only minimal air can escape the receivals building and more

specifically only under those conditions where vehicle doorways were opened allowing

waste truck ingress/egress.

The Ausplume modelling predicted the worst-case scenario of ground level odour

impacts would not affect surrounding sensitive receptors, and that the maximum

extent of the impacts were up to 300m for the odour strength scenario of 1,000ou’s

constantly emitted from the WTE receivals building at a volumetric flow of 6m3/s, or an

odour emission rate of 6,000ou.m3/s.



2 PROJECT BACKGROUND

In March 2012, New Energy Corporation P/L (NEC) commissioned The Odour Unit

WA Pty Limited (TOU) to conduct a ‘Desktop’ Dispersion Modelling Odour Impact

Assessment (OIA) of NEC’s proposed Waste-to-Energy (WTE) facility in Boodarie,

Port Hedland WA (hereinafter referred to as the WTE facility).

The study was commissioned as part of NEC’s Public Environmental Review (PER)

submission to the Environmental Protection Authority of Western Australia (EPA)

seeking a licence to build and operate the proposed WTE facility.

The Boodarie facility will receive and treat up to 173,300 tpa of waste. The

vast majority of waste accepted will be non-odorous, plastic, paper, cardboard and

timber.

The facility will accept around 15,000 tpa of putrescible Municipal Solid Waste (MSW)

with an average daily delivery rate of around 50-60 tonnes. NEC will preferentially

treat the MSW on a priority basis to minimise the potential for odour emissions and on

this basis, it is considered that the maximum accumulation of waste in the receival

area would not exceed typically 300 tonnes. All waste deliveries will be accepted inside a completely enclosed delivery building

with automatic doors. Approximately 2.5 - 3 air changes per hour of air will be

extracted from the delivery floor to create negative pressure and used as feed air to

the gasifiers and syngas burners.

The Western Australian EPA’s document ‘Separation Distances between Industrial

and Sensitive Land Uses’ (EPA 2005) recommends various buffer distances for waste

activities depending on the activity itself and the class of waste handled.

Putrescible landfills (Class 2 & 3) for example have a buffer recommendation of 500

metres from sensitive uses such as subdivisions, whereas a waste depot has a buffer




recommendation of 200 metres. Waste Resource Recovery Facility however are

assessed on a case by case basis.

Given the proposed site is a Waste-to-Energy facility the primary classification

regarding waste handling would be as a Waste Depot with some consideration

potentially given to resource recovery, albeit on a handling basis rather than additional

processing. The likely buffer consideration may therefore be a minimum of 200 metres

from the waste delivery building.

The single odour source assessed herein is the fugitive emissions from the waste

receivals building including the vehicle access doorway/s and small leaks around the

building itself. Other odour sources are not considered given the total odour

destruction in the WTE process.

This report assesses the potential for odour emissions from the waste receivals

building at the proposed WTE facility and presents dispersion modelling predictions

for off-site ground level odour impact.

The proposed WTE facility is to be located in the Boodarie Industrial area of Port

Hedland (refer Figure 1 below).


Figure 1: Boodarie (Port Hedland) Waste-to-Energy Facility Site Location (blue hashed line)



3 WTE FACILITY PROPOSED OPERATIONS

The proposed facility will utilise generic waste management and recycling

technologies to sort influent waste into four distinct streams:

1. Hazardous and problematic materials unsuitable for thermal treatment (directed off-

site for disposal or treatment);

2. Recyclable metals (directed off-site for recycling);

3. Inert materials (directed off-site for re-use or disposal); and

4. Organic materials including, plastic, cardboard, timber, tyres and paper which will

be directed to energy recovery in an on-site gasification and energy recovery

system.

The waste to energy component of the facility will incorporate state-of-the-art gas

cleaning systems to ensure that emitted gas streams meet stringent Australian and

European Standards.

Facility Description

The Boodarie WTE facility has the aim of supplying the sites’ gasification plant with

waste at the rate of 72 MWt. Waste accepted on site will require pre-sorting and

removal of recyclables and incompatibles. Hence the overall tonnage of waste to site

will vary depending on the types of waste accepted (i.e. the percentage of

incompatibles and recyclables in the waste). New Energy anticipates that the

Boodarie facility will receive and treat up to 173,300 tpa of waste.



A typical site layout for the WTE facility comprises:

• Weighbridge;

• Materials Recovery Facility (MRF);

• Storage/quarantine;

• Gasification;

• Administration building (including offices, ablutions and crib areas); and

• Hardstand and parking areas.

The main process stages are as follows:

1) Waste Acceptance and Sorting

2) Materials Recovery Facility (MRF)

3) Gasification

1) Waste Acceptance and Sorting

All feedstock enters site through the weighbridge. Material is sent to either:

a) gasification if it is from a known supplier of waste suitable for direct feed to the

gasifiers;

b) the Materials Recovery Facility (MRF) for inspection and further processing if it

is:

i) from a known supplier of waste requiring further processing;

ii) from an unknown supplier;

iii) identified as having components (‘incompatibles’) which are unsuitable for

gasification;

iv) identified as having recyclable content;

v) unidentified and requiring further inspection.



2) MRF

Feedstock entering the MRF is inspected and directed either to quarantine or to

further processing as follows:

a) waste directed to quarantine is stored pending transport off-site for recovery or

disposal. This is material which the facility is not licensed to process or which

may pose a hazard to the staff.

b) material directed to further processing enters a manual inspection/sort process

to remove incompatibles (problematic for gasification) and large, heavy objects.

The large, heavy objects will be either recyclable (eg fridges) or incompatible.

The remaining material may then either be:

i) directed to the gasification storage pile;

ii) directed to further processing.

c) the stream directed for further processing is subjected to the following

processes:

i) screening to remove rubble components (concrete & bricks) and finely

divided inerts such as glass and grit;

ii) magnetic recovery for ferrous metals;

iii) eddy current separation for non-ferrous metals;

iv) comminution (size reduction) for large tyres & conveyor belts.

The remaining waste is then directed to the gasification store.

d) waste in the gasification store is transferred to gasification periodically

e) recovered recyclables and incompatibles (e.g. gas bottles and lead acid

batteries) are segregated for later removal from site



3) Gasification

The waste entering the gasification building is stored, ready for feeding into the

gasifiers. It is also inspected at this stage as a secondary check to ensure that it is

appropriate for direct gasification. Waste which is deemed inappropriate for

gasification due to the presence of incompatible materials will be returned to the

MRF for processing.

a) waste is fed to each gasifier approximately every 15 minutes.

In the gasifier:

(1) Carbonaceous material in the waste is converted into a syngas

containing predominantly CO, CH4 and short chain hydrocarbons;

(2) The syngas rises and is collected at the top of the gasification chamber;

(3) The remaining material exits the bottom of the gasification chamber as a

relatively inert ash. This ash is discharged into bins and quenched,

before the bin is sealed and stored for later removal from site.

b) the syngas collected at the top of the gasification chamber is immediately fired

in the syngas burner;

c) the hot combustion gas is passed through to the boiler for energy recovery;

d) steam generated in the boiler is passed to the steam turbine and generator

system and electricity is generated and exported to the consumer;

e) the cooled combustion gas is passed through a two-stage scrubbing process

as follows:

(1) Stage 1 uses lime slurry in a spray dryer absorber to remove acidic

gases;

(2) Activated carbon is injected into the line after Stage 1 to adsorb any

residual metals that may have been vaporised;



(3) Stage 2 uses a fabric filter bag house to capture any dried lime particles

and the activated carbon particles; and

(4) The solid residue from these scrubbing processes may be returned to

the process for further adsorption and treatment, mixed with the ash

stream to produce an inert solid for beneficiation, or removed from site

for disposal.

f) the gas is then exhausted to the stack as a clean flue gas.

The operational hours for the facility are typically as follows:

Operation Schedule

Waste Reception (weighbridge) 07:00 – 18:00 Mon-Sat

MRF 08:30 – 16:00 Mon-Fri

Gasification Continuous (24hr/d, 7 days/week)

Administration 08:30 – 17:00 Mon-Fri



4 ODOUR EMISSION SOURCE & ODOUR EMISSION RATES

Given the efficiency of the Gasifier to convert the solid waste streams into usable

energy and emit to atmosphere the remaining process by-products as clean flue gas,

the primary odour source at each of the WTE facility is the waste receivals building.

The WTE facility receivals building will accept as a minimum commercial and

industrial waste streams with the Boodarie Facility accepting putrescible wastes also.

The design of the WTE facility is yet to be finalised, however, the typical building size

for the waste stream receivals area is estimated at 1,000m2 with additional building

areas designated for recyclables and waste sorting (MRF).

The building design will have high tolerances for air capture ensuring that fugitive

odours are minimised, with a minimum of 2.5 - 3 air changes per hour being pulled

from the receivals area to maintain negative pressure. This air will be directed into the

gasifiers and syngas burners.

Fugitive odours may occur when the doorway/s are opened to allow truck/vehicle

ingress/egress, however, the timeframe for a doorway open/close sequence is not

expected to exceed five (5) minutes per truck. The existing negative pressure inside

the building will have a strong effect on reducing or negating odours to atmosphere

when doorway/s are opened.

The Boodarie facility anticipates up to 60 tonnes of putrescible waste streams daily.

Typically the volume of waste carried by municipal rubbish trucks is 8-10 tonnes/truck,

making a total of 6-8 trucks daily in/out of the WTE facility. Other waste streams will

also be received with a typical accumulated waste volume of up to 300 tonnes on the

floor daily. In general the typical delivery times for waste trucks into a waste depot are

between the hours of 8AM – 3PM daily.



The time consideration of the access doorway/s being opened/closed daily is

conservatively estimated at 3 hours in total with a maximum timeframe of 5 minutes

open/closed per truck. This accounts for 36 delivery trucks into/out of the receivals

building daily.

Under negative pressure an enclosed building tends to have a ‘lag’ response in

equalising the internal pressure differential when the pressure inside the building is

relieved, such as when an access doorway is opened. Often the opening of an access

doorway does not immediately imply that air rushes out of the building, rather the

doorway void become turbulent as the pressure equilibrates and as a consequence air

flows into and out of the doorway.

An access doorway is typically 30m2 fully opened (6m high x 5m wide).

When considering the percentage of air lost during the open/close sequence of a

doorway and also accounting for small building leaks, an estimate of 20% of the total

doorway void is assumed as air emissions-to-atmosphere over the duration of the five

minute open/close sequence. Additionally, the average velocity of air through that

doorway (either into the building, or emitted from the building) would be typically 1m/s

or less.

Therefore the volume of air passing through the doorway during the 5 minute

open/close sequence is:

• 30m2 x 20% = 6m2 of void;

• 6m2 x 1m/s = 6m3/s of air passing through doorway;

• = 360m3/min of air passing through doorway.

Then;

Assuming 36 delivery trucks at 5 minutes each, totalling three hours of continuously

opened doorway:



• = 64,800m3 of air emitted to atmosphere through the open doorway over a 3

hour daily period.

This volume of air is greater than six times the volume of air inside the sealed building.

The building itself will be under negative pressure with up to 3 air changes per hour,

therefore the estimated volume of air lost to atmosphere from building leaks and

vehicle access doorways is highly conservative.

4.1 ODOUR CONCENTRATIONS INSIDE THE WTE RECEIVALS BUILDING

The strength of odours within the WTE receivals building would not exceed that of

typical MSW waste streams. MSW streams are extremely odorous, in particular when

stored inside transfer stations allowing the waste to accumulate and decompose. C & I

wastes tend to be less odorous as there is less co-mingled MSW in these influent

streams. To allow a conservative prediction of the worst-case odour emissions from

the proposed WTE facility TOU has considered odour data from two MSW transfer

stations/depots in Australia.

TOU has undertaken a significant amount of site-specific odour assessments of waste

transfer stations, waste depots and waste resource recovery facility throughout

Australia. Tabled below are two relevant datasets of odour concentrations collected

from within municipal waste transfer buildings under differing conditions.

The first dataset represents a naturally ventilated waste transfer station (WTS) in the

Perth Metropolitan Area that accepts both MSW and C & I waste streams from council

trucks and the public at a volume of up to 55,000 tonnes per annum (refer Table

4.1.1). This volume of influent waste represents one third of the total volume of waste

expected at the proposed Boodarie WTE facility.

The MSW is tipped onto the floor where a loader picks it up and places it onto a

conveyor belt where it is transferred into another building for processing. This process

releases high strength odours through agitation of the waste. The C & I waste streams



are loaded immediately into awaiting silos which when filled are removed from the site

to landfill. Small volumes of MSW wastes also end up in these silos. The WTS is

naturally ventilated on all four sides allowing a constant flow of ambient wind which

strips the odours from the tipping floor. The volume of MSW waste on the floor

resembles that of which is expected as daily MSW influent to the Boodarie site,

namely up to 60 tonnes.

Table 4.1.1: Perth (WA) Metropolitan Naturally Ventilated Municipal Waste Transfer Station 2009

Tonnes of MSW Waste on Floor Odour Concentration (ou) (collected at downwind opened doorway)

35 215

40 128

40 91

60 69

50 84

50 128

50 111

40 256

50 111

The second dataset represents an extremely large WTS in Metropolitan NSW. This

WTS accepts up to 400,000 tonnes per annum of MSW with at least 300 tonnes of

waste remaining on the WTS floor daily (refer Table 4.1.2). The annual volume of

MSW waste represents more than twice that is proposed for the Boodarie (173,300

tpa) WTE facility. The waste is delivered via council rubbish collection and other

commercial waste streams. It is stored inside the WTS where it is loaded into outgoing

semi trailers for landfill. Given that the NSW tipping floor is under forced extraction the

analogy of this WTS to that of the proposed WTE facility is comparable.



Table 4.1.2 NSW Metropolitan Forced Extraction Waste Transfer Station 2005 - 2008

Capacity per annum of MSW Waste Odour Concentration (ou) (collected from roof extraction fans)

395

609

395

512

675

832

776

609

892

956

2400

1350

400,000tpa of MSW

320

The Boodarie WTE receival buildings will be under negative pressure representing up

to 3 air changes per hour. When the doorway/s are opened to allow truck

ingress/egress the likelihood of odours being stripped from inside the building and

escaping to atmosphere are minimised by the negative pressure conditions

Based on the two differing datasets above, the range of odour concentrations inside

the WTE receivals building are expected to be within the range of 100 – 2,000 odour

units (ou), with the typical strength of odours not expected to exceed 1,000ou based

on the much lower volumes of waste compared to those listed in Table 4.1.2.



Therefore, the four odour concentration/emission scenarios applied to a constant air

emissions rate of 6m3/s at the WTE facility are:

• 300ou = 1,800ou.m3/s;

• 500ou = 3,000ou.m3/s;

• 1000ou= 6,000ou.m3/s, and

• 2000ou= 12,000ou.m3/s.



5 ODOUR CRITERIA AND DISPERSION MODEL GUIDELINES

Regulatory authority guidelines for odorous impacts of gaseous process emissions are

not designed to satisfy a ‘zero odour impact criteria’, but rather to minimise the

nuisance effect to acceptable levels of these emissions to a large range of odour

sensitive receptors within the local community.

In Australia, each state and territory’s environmental protection agency has developed

its own unique odour performance criteria (OPC) for new and existing odour emitting

facility. In Western Australia, the DEC has withdrawn their OPC guideline document

No. 47: Guidance for the Assessment of Environmental Factors – Assessment of

Odour Impacts from New Proposals (2002), but has yet to replace it. A suitable new

OPC is currently being discussed.

As a consequence the guidance document No.47 (2002) would be appropriate given

the absence of a current OPC replacement, or the Queensland EPA’s Ecoaccess –

Guideline: Odour Impact Assessment from Developments (2004) can also be used.

Given the proposed WTE facility are yet to be built and a surrogate site is not readily

available for determining the odour concentrations inside the receivals building the

more conservative guidance document No. 47 (2002) has been assessed herein.

The DEC guideline No. 47: Guidance for the Assessment of Environmental Factors –

Assessment of Odour Impacts from New Proposals (2002) document states:



‘Conduct computer modelling, using either a measurement of reliable estimate of odour emission rate (in odour units per second, OU/s) in order to demonstrate that the ambient odour concentration does not exceed the following two-part criterion at existing or proposed sensitive premises (this is a “green light” criterion which provides confidence that nuisance impacts are unlikely):

A) 2 OU/m3, 3 minute averaging, 99.5th percentile

AND

B) 4 OU/m3, 3 minute averaging, 99.9th percentile

Part B will generally be met if Part A is met, but is nevertheless required to accommodate sources which emit odour for only a fraction of the hours in a year.

If the above two-part criterion is met, no further assessment of odour is needed.

The above criterion for acceptability applies only to sources which may be classified as “volume sources”, “large area sources” or “strongly wake-affected plumes”.

If the above criteria are met then the EPA considers that the odour levels are unlikely to have an unreasonable effect on amenity.’

The proposed WTE facility will operate constantly; however, the daily operations of

waste receivals and sorting will only occur within 11 hours daily.

Given this, the criterion of 4ou is more relevant to the WTE facility proposals as it

assesses more of a peak odour emission taking place for a fraction of the year.



6 ODOUR DISPERSION MODELLING METHOD

The odour dispersion modelling study for the proposed WTE facility was carried out

using AUSPLUME Version 6.0, a Gaussian, steady-state, plume dispersion model

developed by the Victorian Environmental Protection Authority (EPA Victoria).

Ausplume is the approved dispersion model recommended by all of the EPAs in

Australia.

The AUSPLUME V6.0 atmospheric dispersion model is used to project downwind

ground level concentrations of air contaminants by taking into consideration various

factors including:

• Odour emissions data - odour emission rate and source dimensions;

• Site specific meteorology;

• Geophysical impact (topography); and

• Building wake effects.

For this study, the air contaminant was odour and ground level concentrations in

odour units (ou) have been projected.

It should be noted that terrain effects are incorporated within the model for point

sources such as stacks and vents only, but not for area and volume sources. The

source inputs into this model are volume sources. The BPIP building wake algorithm

was not employed.

Ausplume is the regulatory model used Australia wide and is an excellent tool for

screening assessments and/or meteorological specific assessments. Like all models

Ausplume has limitations, specifically, Ausplume cannot model line emission sources

(motorways/traffic), cannot model stacks greater than 100m high, is much less

sophisticated than other models to compute complex terrain and meteorological fields,

and due to its Gaussian mathematical simulation it assumes a perfect mixture of gas

emissions at any point.



The use of Ausplume for low level volume sources is entirely applicable for the

assessment, and often considered a more conservative model for this application

when compared to more complex applications such as Calpuff plume models; since

Ausplume assumes that the wind speed and direction remain constant over the full

length of the plume (model domain). More sophisticated models use complex terrain

computations to account for drainage flows, pooled odour plumes proceeding calms

and surface friction/roughness effects which disperse the plume. Gaussian plume

models like Ausplume can only partially simulate terrain effects and therefore ‘shoot’

the plume out to the full extent of the model domain.

Areas in which the terrain elevation varies little compared with the effective plume

height can be treated as effectively flat. Since the average range of plume height

centres from the opened vehicle access doorway/s are within 1 – 6 metres high the

range variation of only a few metres above the terrain (or less) is largely negligible

when considering terrain effects. The terrain at and surrounding the WTE facility are

flat/rural. Given the sites’ surrounding land uses the use of Ausplume is applicable

since the wind fields would not be markedly complex above the WTE facility.

6.1 METEOROLOGICAL DATASET

TOU commissioned the development of a site-representative dataset by pDs

Consultancy compiled from data taken at the Bureau of Meteorology (BoM) Port

Hedland Automatic Weather Station (AWS). The dataset presents annual

meteorological observations from 2010.

The details for the development of the site-specific meteorological dataset for

Boodarie, Port Hedland (MET FILE_PtHeadland (8616)_2010) is presented in

Appendix A.

Adverse odour impacts may be more prevalent during warmer months, as elevated

temperatures tend to result in higher odour emissions. This is generally true of most

odour sources and in particular those exposed directly to environmental weather



conditions such as holding dams, liquor ponds and contained odour sources that are

not temperature controlled e.g. organic composting inside a shed. Odour emissions

are also exacerbated by the raw materials input to a given process in the hotter

months such as rendering processes and municipal waste management where the

raw influent materials are already in decomposition (prior to processing) due to the

higher temperatures of summer.

It is also important to note that, while calm to light wind conditions are the most

problematical in terms of poor dispersion and odour nuisance, the standard Gaussian

dispersion formulation intrinsic to the Ausplume model fails to adequately cope with

wind velocities below 0.5m/s. As a result, all winds < 0.5m/s are treated as 0.5m/s by

the model.

In addition to wind direction and speed, atmospheric stability is an important factor in

odour transport and dispersion. Stability refers to the vertical movement of the

atmosphere and subsequently the dispersion of pollutants vertically within the

atmospheric boundary layer. Atmospheric stability is classified under the Pasquill-

Gifford scheme where seven stability classes have been defined as: A – very

unstable; B – unstable; C – slightly unstable; D – neutral; E – slightly stable; F –

stable; and G – very stable. F and G tend to be grouped together as F in dispersion

models. When the atmosphere is stable, vertical movement is suppressed and

dispersion is poor. This is the case for classes E and F, which are apparent during

temperature inversions. Neutral conditions also result in poor vertical dispersion for

ambient temperature or cool plumes.

6.2 LOCAL LAND USE AND TOPOGRAPHY

The Boodarie locale is relatively flat; consequently the surface roughness category

(Zo) chosen for this dispersion model was 0.1m.




6.3 GRIDDED RECEPTOR FILE

The Receptor file used in the model was a Cartesian grid with receptors spaced at

100m x 100m intervals. The grid radius extended approximately 1,600m to the north

and south and approximately 2,200m to the east and west. Terrain effects were

ignored due to the volume source emissions.

6.4 ODOUR SOURCE CONFIGURATIONS

The WTE facility receivals’ building was assumed to have a surface area of 1,000m2

and a roof height of 10m.

The horizontal spread was 7.5m with the vertical spread as 2.5m.

The centre of the building was taken as the grid point for the odour source with a

plume release height of 5m to reflect half of the building height.

Odour emissions were assumed as constant.


7 RESULTS & DISCUSSION

The Ausplume ground level odour predictions for the Boodarie WTE facility are

presented in Figures 7.1 and 7.2 below.

Figure 7.1 shows the ground level odour predictions for an odour criterion of 2ou,

99.5th percentile with 3-minute averaging times for three constant odour strength

scenarios of 500ou, 1,000ou and 2,000ou. There was no impact predicted for a

constant odour strength of 300ou. The extent of the maximum impact from a constant

odour strength of 2,000ou was approximately 400m from the centre of the Boodarie

WTE receivals building.

Figure 7.2 shows the ground level odour predictions for an odour criterion of 4ou,

99.9th percentile with 3-minute averaging times for three constant odour strength

scenarios of 500ou, 1,000ou and 2,000ou. There was no impact predicted for a

constant odour strength of 300ou. The extent of the maximum impact from a constant

odour strength of 2,000ou was approximately 550m from the centre of the Boodarie

WTE receivals building.

Based on the influent waste streams at the Boodarie site, the likelihood of a constant

odour strength of 2,000ou is doubtful. A more representative, worst-case odour

strength inside the WTE receivals building would be less than 1,000ou given the small

volumes of putrescible MSW wastes expected.

Referring to the more conservative odour performance criterion of 4ou, at a constant

odour strength of 1,000ou, the maximum radius of ground level odour impact

predicted at the criterion of 4ou, 99.9th percentile with 3-minute averaging times is

300m from the WTE receivals building (refer Figure 7.2).



New Energy Corp. P/L. - ‘Desktop’ Dispersion Modelling Assessment of Proposed Waste-to-Energy Facility

Yellow Contour = 2ou criterion @ 99.5th percentile; 3-minute averaging times for a constant odour strength of 500ou.

Green Contour = 2ou criterion @ 99.5th percentile; 3-minute averaging times for a constant odour strength of 1,000ou.

Blue Contour = 2ou criterion @ 99.5th percentile; 3-minute averaging times for a constant odour strength of 2,000ou.

Figure 7.1: Ausplume Fugitive Ground Level Odour Predictions @ 2ou for Boodarie WTE Receivals Building.

27


28


Figure 7.2: Ausplume Fugitive Ground Level Odour Predictions @ 4ou for Boodarie WTE Receivals Building.

Green Contour = 4ou criterion @ 99.9th percentile; 3-minute averaging times for a constant odour strength of 1,000ou.

Yellow Contour = 4ou criterion @ 99.9th percentile; 3-minute averaging times for a constant odour strength of 500ou.

Blue Contour = 4ou criterion @ 99.9th percentile; 3-minute averaging times for a constant odour strength of 2,000ou.



REFERENCES

i. Department of Environmental Protection (DEP), 2002, “Odour Methodology Guideline”, March 2002.

ii. Standards Australia, 2001, “AS/NZS 4323.3:2001 Stationary source emissions – Part 3: Determination of odour concentration by dynamic olfactometry”

29

Appendix A

Details of met file development (pDs Consultancy)

IIIInput nput nput nput

Meteorological Meteorological Meteorological Meteorological

data file for data file for data file for data file for

AUSPLUMEAUSPLUMEAUSPLUMEAUSPLUME Port Headland(WA)-2010

This file was exclusively compiled

for The Odour Unit (WA) Pty

Limited Pty Ltd By pDs

Consultancy-Experts in Air

Modelling and Meteorology.

All rights reserved @2012

pDs ConsultancypDs ConsultancypDs ConsultancypDs Consultancy

@@@@1999199919991999----2020202011112222

IIIINPUT NPUT NPUT NPUT MMMMETEOROLOGICAL DATA FETEOROLOGICAL DATA FETEOROLOGICAL DATA FETEOROLOGICAL DATA F ILE FOR ILE FOR ILE FOR ILE FOR AUSPLUMEAUSPLUMEAUSPLUMEAUSPLUME

Experts in Air Modelling and MeteorologyExperts in Air Modelling and MeteorologyExperts in Air Modelling and MeteorologyExperts in Air Modelling and Meteorology Page 2222 of 21212121

IntroductionIntroductionIntroductionIntroduction

Gaussian plume models require hourly averaged meteorological data

from a single site which is preferably in the model domain (site-specific

data). While site-specific data is preferred, data from the nearest off-site

meteorological station can be used when on-site data are not available.

This data should represent the area of concern and the meteorological

parameters should characterise the transport and dispersion conditions

of the area of concern.

Meteorological input is crucial in Gaussian plume modelling. Therefore

compilation of input meteorological data files should be done meeting

the procedures and algorithms set by environment regulators. It is always

preferred to collect mandatory data such as wind speed, direction,

sigamatheta (calculated from Wind Direction measurements) and ambient

temperature onsite. And again instrumentations and siting should meet

Australian Standards AS2923 (ambient air guide for measurement of

horizontal wind for air quality applications).

Port HeadlandPort HeadlandPort HeadlandPort Headland weather station found to be the best available data source

maintained by the Australian Bureau of Meteorology to prepare input

meteorological data file for intended AUSPLUME modelling work over a

domain in Port Headland (Port Headland (Port Headland (Port Headland (WA)WA)WA)WA).

This file was compiled following the EPA,VIC guideline: Construction of

meteorological data files for AUSPLUME (Publication No.1459)

IIIINPUT NPUT NPUT NPUT MMMMETEOROLOGICAL DATA FETEOROLOGICAL DATA FETEOROLOGICAL DATA FETEOROLOGICAL DATA F

Experts in Air Modelling and MeteorologyExperts in Air Modelling and MeteorologyExperts in Air Modelling and MeteorologyExperts in Air Modelling and Meteorology

LOCATION: PORT H

ETEOROLOGICAL DATA FETEOROLOGICAL DATA FETEOROLOGICAL DATA FETEOROLOGICAL DATA F ILE FOR ILE FOR ILE FOR ILE FOR AUSPLUMEAUSPLUMEAUSPLUMEAUSPLUME

Experts in Air Modelling and MeteorologyExperts in Air Modelling and MeteorologyExperts in Air Modelling and MeteorologyExperts in Air Modelling and Meteorology Page

HEADLAND (WA)

Page 3333 of 21212121



DATA PROCESSING

Data Source

1. Port HeadlandPort HeadlandPort HeadlandPort Headland AWS Data- BoM, National Climate Centre (NCC).

2. Port Headland Port Headland Port Headland Port Headland Cloud data and Vertical temperature Profiles – NCC-

Bureau of Meteorology, Melbourne.

Input InformationInput InformationInput InformationInput Information

• Onsite (Port HeadlandPort HeadlandPort HeadlandPort Headland)))) parameters

• Wind speed (km/h)

• Wind direction

• Ambient Temperature (C)

• Station Level Pressure

• Dewpoint Temperature

• Total Clod amount through out the clock

Wind was measured at 10m (Anemometer Height), surface

roughness assumed to be 0.3m

• Port Headland Port Headland Port Headland Port Headland ((((WAWAWAWA))))

1. Vertical temperature profiles; Temperature, Dew point (1

profile per day)



QA/QCQA/QCQA/QCQA/QC ON ON ON ON RRRRAW DATAAW DATAAW DATAAW DATA

This data set was treated as follows

• Suspected wind stalls (both wind direction and speed) removed

and filled appropriately preserving the temporal consistency.

o Fair amount of suspected wind stalls found. Treated to

conserve the data coverage

• Small gaps filled with previous or following data (See Appendix

A for gap filling procedure).

• Pressure, Dew point Temperature and cloud amount were

checked for unusual values.

• Wind direction was found to be recorded with 10 degree

resolution so it was randomised to nearest degree.

Important Notes:Important Notes:Important Notes:Important Notes:

• Sensitivity of Anemometers may not be up to air quality standard.

• Calm and/or missing winds (both speed and direction) are encoded as

blanks in BoM Data files. These cases are treated as missing data and

interpolation has done for short gaps to recover 24-hour data sets.

• BoM AWS use Synchrotac 706 anemometers and they are not designed

for accurate measurement of very light winds. The manufacturer

claims a start-up and stall speed of <0.7 ms-1.

• Wind Speed is expressed as kilometres per hour (km/h) by BoM.

PPPPORT ORT ORT ORT HHHHEADLAND EADLAND EADLAND EADLAND (BOM)VERTICAL TEMPERATURE PROFILES

• Gaps in vertical temperature profiles were filled with previous or

following day data for completeness.



DETERMINATION OF SECONDARY PARAMETERS

VERTICAL STABILITY

Solar Radiation for daytime and Modified Pasquill Stability Class

outlined in the reference, Davis and Singh, Jl of Hazardous

Materials, 11 was used to determine nighttime stability class. Solar

radiation was theoretically calculated using off site cloud

observations.

Table 1 for daytime and part of Table 2 for night-time were used.

TABLE 1: STABILITY CLASSIFICATION FOR DAYTIME USING SOLAR

RADIATION AND WIND SPEED

Solar Radiation ( W/mSolar Radiation ( W/mSolar Radiation ( W/mSolar Radiation ( W/m2 2 2 2 ))))

WindWindWindWind

Speed(m/s)Speed(m/s)Speed(m/s)Speed(m/s)

≥≥≥≥925925925925 ≥≥≥≥675675675675 ≥≥≥≥175175175175 < 175175175175

< 2222 A A B D

< 3333 A B C D

< 5555 B B C D

< 6666 C C D D

≥≥≥≥ 6666 C D D D



Table 2: Modified Pasquill stability calsses

SurfaceSurfaceSurfaceSurface

Wind Wind Wind Wind Speed Speed Speed Speed

(m/s)(m/s)(m/s)(m/s)

At 10mAt 10mAt 10mAt 10m

Daytime incoming solar Daytime incoming solar Daytime incoming solar Daytime incoming solar

radiationradiationradiationradiation

Within 1 Within 1 Within 1 Within 1

Hour Hour Hour Hour

before before before before

sunset sunset sunset sunset

or after or after or after or after

sunrisesunrisesunrisesunrise

NightNightNightNight----time cloud amount time cloud amount time cloud amount time cloud amount

(Octas)(Octas)(Octas)(Octas)

StrongStrongStrongStrong

(>600)(>600)(>600)(>600)

ModerateModerateModerateModerate

(300(300(300(300----

600)600)600)600)

SlightSlightSlightSlight

(<300)(<300)(<300)(<300)

OvercastOvercastOvercastOvercast 0000----3333 4444----7777 8888

< 2222 A A-B B D DDDD FFFF FFFF DDDD

< 3333 A-B B C D DDDD FFFF EEEE DDDD

< 5555 B B-C C D DDDD EEEE DDDD DDDD

< 6666 C C-D D D DDDD DDDD DDDD DDDD

≥≥≥≥ 6666 C D D D DDDD DDDD DDDD DDDD



MMMM IXING HEIGHTIXING HEIGHTIXING HEIGHTIXING HEIGHT (C(C(C(CONVECTIVE ONVECTIVE ONVECTIVE ONVECTIVE &&&& MMMMECHANICALECHANICALECHANICALECHANICAL ))))

DEFINITION:

The mixing height, the depth of the surface mixed layer is the height of

the atmosphere above the ground, which is well mixed due either to

mechanical turbulence or convective turbulence. The air layer above this

height is stable.

The mixing height was determined by using the methodology of Benkley

and Schulman (Journal of Applied Meteorology, Volume 18, 1979,pp 772-

780). Port Headland Port Headland Port Headland Port Headland upper air observation containing temperature and

moisture profiles were used to determine daytime mixing height.

Surface wind speeds and roughness are used to calculate the depth of the

mechanically forced boundary layer during the night time.

MixHm=0.185* UstaMixHm=0.185* UstaMixHm=0.185* UstaMixHm=0.185* Ustar/Ctermr/Ctermr/Ctermr/Cterm

Where Ustar=.35*Usfc/Ln (Htanemo/Z0)Where Ustar=.35*Usfc/Ln (Htanemo/Z0)Where Ustar=.35*Usfc/Ln (Htanemo/Z0)Where Ustar=.35*Usfc/Ln (Htanemo/Z0)

Cterm = Coriolis Term =2 Cterm = Coriolis Term =2 Cterm = Coriolis Term =2 Cterm = Coriolis Term =2 ΩΩΩΩ Sin(Sin(Sin(Sin(φφφφ))))

Where Where Where Where ΩΩΩΩ is the angular velocity of the earthis the angular velocity of the earthis the angular velocity of the earthis the angular velocity of the earth

φφφφ is the latitudeis the latitudeis the latitudeis the latitude

Htanemo= Anemometer Height, Z0 is the roughnessHtanemo= Anemometer Height, Z0 is the roughnessHtanemo= Anemometer Height, Z0 is the roughnessHtanemo= Anemometer Height, Z0 is the roughness



Height of the convective boundary layer was determined using daytime

temperature sounding (Vertical temperature and dewpoint profiles) in

between sunrise and sunset. Larger value of the mechanical turbulence and

convective turbulence was taken as the Mixing height for the daylight hours.

ANALYSIS

DATA COVERAGE

Season Expected nuber of days Number of Days in the file Percentage

Summer 90 90 100

Autumn 92 92 100

Winter 92 92 100

Spring 91 85 93

Total 365 359 98

All seasons are well represented. Data recovery is 98%, meeting the regulatory

requirement (> 90%).

IIIINPUT NPUT NPUT NPUT MMMMETEOROLOGICAL DATA FETEOROLOGICAL DATA FETEOROLOGICAL DATA FETEOROLOGICAL DATA F

Experts in Air Modelling and MeteorologyExperts in Air Modelling and MeteorologyExperts in Air Modelling and MeteorologyExperts in Air Modelling and Meteorology

ANNUAL W INDROSES

ETEOROLOGICAL DATA FETEOROLOGICAL DATA FETEOROLOGICAL DATA FETEOROLOGICAL DATA F ILE FOR ILE FOR ILE FOR ILE FOR AUSPLUMEAUSPLUMEAUSPLUMEAUSPLUME

Experts in Air Modelling and MeteorologyExperts in Air Modelling and MeteorologyExperts in Air Modelling and MeteorologyExperts in Air Modelling and Meteorology Page Page 10101010 of 21212121



SEASONAL W INDROSES

Seasonal variations in winds are clearly depicted.



ANNUAL STABILITY D ISTRIBUTION

Stability

Category

%

Distribution

Avg Wind

Speed

Avg

Temperature

Avg Mixing

Height

A 1 2. 33.8 1213

B 5 3.5 31.5 1439

C 18 6.8 30.9 2520

D 51 6.8 27.2 2459

E 19 4. 23. 1467

F 5 2.1 22.6 879



STATISTICS OF PORT HEADLAND (WA) INPUT METEOROLOGICAL DATA FILE-2010

Stability Class STATs Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Annual

A

Max of Temp 38.0 41.0 40.0 36.0 31.0 32.0 27.0 36.0 35.0 42.0 38.0 42.0

Min of Temp 33.0 30.0 29.0 30.0 31.0

32.0 27.0 30.0 26.0 31.0 34.0 26.0

Average of

Temp 35.3 35.0 34.0 32.9 31.0

32.0 27.0 33.7 30.9 36.1 36.3 34.0

Max of WS 2.5 2.5 2.5 2.5 1.4

0.6 1.4 2.5 2.5 2.5 2.5 2.5

Min of WS 2.2 0.6 0.6 0.6 1.4

0.6 1.4 0.6 0.6 1.4 1.4 0.6

Average of WS 2.4 2.1 1.5 1.7 1.4

0.6 1.4 1.9 1.6 2.3 2.0 1.8

Max of MixH 1624 2218 2406 2380 1045

1436 1729 1678 2060 2326 1174 2406

Min of MixH 1112 620 480 517 1045

1436 1729 538 428 930 905 428

Average of

MixH 1343 1332 1036 1268 1045

1436 1729 1027 987 1429 1069 1198

B

Max of Temp 40.0 42.0 40.0 36.0 32.0 33.0 34.0 31.0 38.0 41.0 44.0 40.0 44.0

Min of Temp 29.0 25.0 26.0 22.0 24.0 25.0 23.0 19.0 22.0 25.0 22.0 26.0 19.0

Average of

Temp 33.6 33.3 33.5 31.9 28.3 28.9 28.4 26.0 28.3 32.2 32.7 32.9 31.6

Max of WS 4.7 4.7 4.7 4.7 4.7 4.7 4.7 4.7 4.7 4.7 4.7 4.7 4.7

Min of WS 1.4 0.6 0.6 0.6 2.2 2.2 0.6 0.6 2.2 1.1 0.6 0.6 0.6

Average of WS 4.0 3.8 3.4 3.1 3.9 3.7 3.3 3.3 3.7 3.6 3.4 3.7 3.5

Max of MixH 2169 2701 2770 2758 2297 2132 2158 2348 2419 2642 2425 2244 2770

Min of MixH 711 438 365 292 862 912 809 583 884 501 365 520 292

Average of

MixH 1490 1555 1494 1255 1585 1496 1370 1532 1497 1525 1361 1563 1465

C

Max of Temp 44.0 42.0 41.0 38.0 35.0 33.0 32.0 32.0 38.0 41.0 43.0 40.0 44.0

Min of Temp 25.0 26.0 26.0 21.0 16.0 18.0 15.0 14.0 15.0 21.0 21.0 25.0 14.0

Average of

Temp 33.5 32.9 34.2 30.5 25.3 25.2 24.0 24.6 27.1 31.7 33.0 31.7 30.8

Max of WS 11.7 8.6 11.4 8.6 5.8 5.8 5.8 9.2 13.3 11.7 12.2 10.8 13.3

Min of WS 2.2 2.2 2.2 2.2 2.5 2.2 2.5 2.2 2.2 2.2 2.2 1.4 1.4

Average of WS 7.0 6.0 5.9 4.3 4.4 4.3 3.9 4.8 6.8 6.7 6.8 6.4 6.0

Max of MixH 4284 3236 3901 3291 2574 2235 2343 3400 4576 4157 4430 3938 4576

Min of MixH 884 640 757 556 994 984 855 912 684 629 711 807 556

Average of

MixH 2568 2161 2200 1614 1738 1702 1521 1890 2551 2490 2522 2348 2240

D

Max of Temp 41.0 40.0 40.0 39.0 37.0 34.0 32.0 31.0 38.0 40.0 40.0 39.0 41.0

Min of Temp 24.0 22.0 24.0 20.0 12.0 13.0 12.0 11.0 10.0 17.0 20.0 23.0 10.0

Average of

Temp 30.2 30.5 32.0 30.0 26.6 24.0 22.0 23.4 24.0 28.2 29.6 29.5 27.3

Max of WS 13.9 11.4 11.4 12.8 11.7 12.2 11.4 11.7 13.3 11.4 13.3 12.2 13.9

Min of WS 0.6 0.6 1.4 0.6 1.1 1.4 1.4 1.4 0.6 1.1 1.4 0.6 0.6

Average of WS 7.3 6.5 6.3 6.3 6.4 6.6 6.3 6.4 6.5 6.5 7.4 7.0 6.7

Max of MixH 4813 3856 4047 4339 3956 3947 3993 4266 4676 4075 4704 4321 4813

Min of MixH 583 438 538 292 583 511 684 611 392 483 656 365 292

Average of

MixH 2638 2335 2263 2255 2296 2385 2284 2284 2325 2334 2670 2529 2397

E

Max of Temp 31.0 32.0 34.0 32.0 32.0 28.0 27.0 27.0 30.0 31.0 34.0 33.0 34.0

Min of Temp 25.0 23.0 25.0 20.0 12.0 13.0 12.0 11.0 13.0 18.0 22.0 23.0 11.0

Average of 28.6 28.0 29.0 26.2 21.3 19.7 18.6 18.4 20.5 24.2 26.2 27.6 23.1



Temp

Max of WS 4.7 4.7 4.7 4.7 4.7 4.7 4.7 4.7 4.7 4.7 4.7 4.7 4.7

Min of WS 3.1 3.1 2.2 2.5 3.1 2.5 2.2 2.2 2.5 2.2 3.1 3.1 2.2

Average of WS 3.9 3.9 3.8 3.8 3.9 4.0 4.0 3.9 4.0 3.9 4.1 4.0 3.9

Max of MixH 2516 2097 2097 1951 1969 1996 2042 1969 2024 2169 1951 2042 2516

Min of MixH 948 994 802 893 975 820 802 912 738 702 1076 893 702

Average of

MixH 1466 1453 1384 1367 1436 1446 1482 1443 1455 1450 1510 1472 1442

F

Max of Temp 33.0 32.0 32.0 31.0 28.0 24.0 24.0 25.0 28.0 29.0 28.0 29.0 33.0

Min of Temp 25.0 24.0 25.0 22.0 14.0 13.0 14.0 12.0 10.0 17.0 21.0 24.0 10.0

Average of

Temp 28.0 28.1 28.5 26.1 22.1 20.3 20.2 18.8 21.4 22.3 25.1 27.1 23.7

Max of WS 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5

Min of WS 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 1.1 0.6 1.1 0.6 0.6

Average of WS 2.1 2.2 2.1 2.1 2.2 1.9 2.1 2.2 2.3 1.8 2.4 2.1 2.1

Max of MixH 1468 1741 1349 1294 1313 1167 1121 1167 1267 1267 1240 1212 1741

Min of MixH 511 292 219 219 365 292 365 438 401 219 802 365 219

Average of

MixH 902 974 889 854 901 805 868 877 947 766 963 821 872



APPENDIX A

PPPPROCEDURES FOR SUBSTIROCEDURES FOR SUBSTIROCEDURES FOR SUBSTIROCEDURES FOR SUBSTITUTING VALUES FOR MITUTING VALUES FOR MITUTING VALUES FOR MITUTING VALUES FOR MI SSING SSING SSING SSING MMMMETEOROLOGICAL ETEOROLOGICAL ETEOROLOGICAL ETEOROLOGICAL DDDDATA ATA ATA ATA

INTRODUCTION

The Meteorological data required to compile input meteorological data files for

dispersion modelling consist of

1. hourly surface observations

2. Morning and afternoon Vertical Temperature profiles (Radio sonde data).

Data acquired from the National Climatic Centre (NCC) and Regional

Meteorological Services occasionally have periods of missing data. If the

lengths of these periods are not excessive, reasonable values may be

substituted without seriously degrading the modelling results.

As with on-site data, a data set which is less than 90% complete should not be

used for air quality modelling purposes. Substitutions for missing data should

only be made to complete the data set for modelling applications, and should

not be used to achieve the 90% criterion.

The procedure for providing substitute values for missing data has two parts.

The first part is an objective procedure, which applies to single isolated hours

with missing surface data and single isolated days of missing radio sonde data.

Substitutions for those data are accomplished using procedures described

below.



The second part is a subjective procedure which applies to longer sequences of

missing data. Substitutions for those data require judgement, and should be

accomplished by an air quality meteorologist based on scientific knowledge and

professional experience. The procedures, described in detail below, are

generally consistent with procedures used historically by US EPA.

STEP 1: THE OBJECTIVE PROCEDURE

SURFACE DATA

Hourly surface weather observations of temperature, wind direction, and wind

speed, surface pressure and dew point temperature as well as 3 hourly cloud

cover are required. Substitutions for missing surface data are made as follows:

Note :Total cloud cover should be used if opaque cloud cover is not available.

Data from the preceding hour should be used, provided that values from both

the preceding and the succeeding hours are present (i.e., only a single hour is

missing).

If two or more consecutive hours of data are missing, then the subjective

procedure outlined below should be used.

If temperature is missing, then a value interpolated between the preceding hour

and the succeeding valid hour should be substituted. If two or more

consecutive hours of temperatures are missing, then the subjective procedure

outlined below should be followed.



If a single hour of wind direction and speed is missing then the average

direction and average speed from the four hours surrounding that hour should

be substituted. Except for the first two and last two hours of the year, this

average should be derived from the two hours before and two hours after the

hour of the missing value. In the interest of simplicity, the average wind

direction is obtained from the mean unit vector wind. If two or more

consecutive hours of either wind direction or wind speed are missing, then the

subjective procedure outlined below should be used.

RADIOSONDE DATA

Both a morning Radio sonde and an afternoon Radio sonde are required for

each day of the year. Objective substitutions for missing Radio sonde data are

made as follows:

If a single afternoon Radio sonde is missing, the value interpolated between the

preceding and successive afternoon Radio sonde are used. Similarly, if a single

Radio sonde is missing, the value interpolated between the preceding and

succeeding Radiosonde should be used.

If two or more consecutive afternoon Radio sondes or two or more consecutive

morning Radio sondes are missing, then the subjective procedure outlined

below should be used.

Step 2: The Subjective Procedure

When the objective procedure does not provide a substitute value for some

parameters, the data are reviewed by an air quality meteorologist. If technically



appropriate, a substitute value should be identified, based on the following

procedure, using sound scientific knowledge and professional experience.

Surface Data

The following procedures are recommended for substituting values for

missing surface data when the objective procedure described above is not

appropriate.

Sound meteorological judgment and professional experience is required

to developing appropriate substitute data values.

If temperature is missing, then the temperature values on either side of

the data void are reviewed. Often an interpolation can be made for up to

a few hours. However, these values may need to be adjusted to be

consistent with the other meteorological factors. Near times of daily

maxima or minima, one can adequately simulate daily maxima or minima

for other days of similar meteorological conditions.

If a wind direction value is missing, the data values a few hours (perhaps

five or so) on either side of the data void are reviewed. It is important to

maintain not only consistency of wind direction, but also some

consistency of wind variability. Otherwise, a few hours with the wind

from the same direction will result, which can produce unreasonably high

estimates of 4-hour, 8-hour and 24-hour average concentrations.

If wind speed is missing, the five values both before and after the data

void are reviewed. Any obvious patterns of wind speed should be



continued and adjusted, if needed, to make the substitute data realistic

from an air quality modelling viewpoint.

Radio sonde Data

The following procedure is recommended for substituting values for

missing morning or afternoon Radio sonde data, when the objective

procedure described above is not appropriate. The procedure with Radio

sonde data, as with surface data, requires careful meteorological

judgment and professional experience in order to derive appropriate

substitute values.

As a general rule, a sequence of missing Radio sonde data of five days or

more should not be filled in. Also, any missing sequence of four days

which does not have adequate continuity (at least five full days on either

side of the data void) should also not be filled in.



D ISCLAIMER

Compilation of input meteorological data file for AUSPLUME

was done under the supervision of qualified and experienced

meteorologists. Although all due care has been taken, we

cannot give any warranty, nor accept any liability (except that

required by law) in relation to the information given, its

completeness or its applicability to a particular problem.

These data and other material are supplied on the condition

that you agree to indemnify us and hold us harmless from

and against all liability, losses, claims, proceedings,

damages, costs and expenses, directly or indirectly relating

to, or arising from the use of or reliance on the data and

material which we have supplied.

COPYRIGHT

Bureau of Meteorology holds the copyright for the original

data purchased for The Odour Unit (WA) Pty LimitedThe Odour Unit (WA) Pty LimitedThe Odour Unit (WA) Pty LimitedThe Odour Unit (WA) Pty Limited....

Copyright of the value added data set: Input meteorological

data file for AUSPLUME is held by pDs Consultancy ServicepDs Consultancy ServicepDs Consultancy ServicepDs Consultancy Service

((((www.pdsconsultancy.comwww.pdsconsultancy.comwww.pdsconsultancy.comwww.pdsconsultancy.com)))). The purchaser shall not reproduce,

modify or supply (by sale or otherwise) this data set.

EEEE----mail :[email protected] :[email protected] :[email protected] :[email protected]



BIBLIOGRAPHY

Australian Standard 2923-1987 :Standards Association of Australia

Benkley, C.W,& Schulman L.L 1979 :Estimating Hourly Mixing Depths from

Historical Meteorological Data :Jl of Applied Meteorology Vol 1 page 772-780

Dewundege, P.,2002, Comparison of Some Feasible Schemes For Atmospheric

Stability Determination: A Case Study. Proceedings of the 15th International

Clean Air and Environment Conference, Christchurch, NZ, 2002, Clean Air

Society of Australia & New Zealand

Lorimer, G.S and Godfrey, J.J 1998, Plume Models: Techniques for better usage.

Proceedings of the 13th International Clean Air and Environment Conference,

Adelaide, 1996, Clean Air Society of Australia & New Zealand, pp 507-512

Mohan, M and Siddiqi, T. A. 1998, Analysis of various schemes for the

estimation of atmospheric stability classification. Atmospheric Environment

Vol 32, No. 21, pp. 3775-3781

Turner, D.B. 1970, Workbook of atmospheric dispersion estimates, Office of Air

Program Pub. No. AP-26, EPA,USA

USEPA, 2000, Meteorological Monitoring Guidance for Regulatory Modelling

Applications, EPA-450/R-99-005. United States Environmental Protection

Agency, Washington DC, USA.

Appendix B

Example of the AUSPLUME Model Output File

Boodarie 4ou1 _______________________________ WTE Boodarie 8616hrs of met _______________________________

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 Use the convective PDF algorithm? No

DISPERSION CURVES Horizontal dispersion curves for sources <100m high Pasquill-Gifford 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 0.100m 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 TIME: 3 minutes.

_____________________________________________________________________________

Page 1

Boodarie 4ou _______________________________ WTE Boodarie 8616hrs of met SOURCE GROUPS _______________________________

Group No. Members ________________________________________________________________ 1 300OU 2 500OU 3 1000OU 4 2000OU

_____________________________________________________________________________

1 _______________________________ WTE Boodarie 8616hrs of met SOURCE CHARACTERISTICS _______________________________

VOLUME SOURCE: 300OU

X(m) Y(m) Ground Elevation Height Hor. spread Vert. spread 660582 7740937 0m 5m 8m 3m

(Constant) emission rate = 1.80E+03 OUV/second No gravitational settling or scavenging.










_____________________________________________________________________________

Page 2

Boodarie 4ou1 _______________________________ WTE Boodarie 8616hrs of met RECEPTOR LOCATIONS _______________________________

The Cartesian receptor grid has the following x-values (or eastings): 658321.m 658421.m 658521.m 658621.m 658721.m 658821.m 658921.m 659021.m 659121.m 659221.m 659321.m 659421.m 659521.m 659621.m 659721.m 659821.m 659921.m 660021.m 660121.m 660221.m 660321.m 660421.m 660521.m 660621.m 660721.m 660821.m 660921.m 661021.m 661121.m 661221.m 661321.m 661421.m 661521.m 661621.m 661721.m 661821.m 661921.m 662021.m 662121.m 662221.m 662321.m 662421.m 662521.m 662621.m 662721.m 662821.m 662921.m 663021.m

and these y-values (or northings):7739292.m 7739392.m 7739492.m 7739592.m 7739692.m 7739792.m 7739892.m7739992.m 7740092.m 7740192.m 7740292.m 7740392.m 7740492.m 7740592.m7740692.m 7740792.m 7740892.m 7740992.m 7741092.m 7741192.m 7741292.m7741392.m 7741492.m 7741592.m 7741692.m 7741792.m 7741892.m 7741992.m7742092.m 7742192.m 7742292.m 7742392.m 7742492.m

_____________________________________________________________________________

METEOROLOGICAL DATA : BoM PtHeadland AWS Data BoM PtHeadland Clouds PtHeadl

_____________________________________________________________________________

1 Peak values for the 100 worst cases (in Odour_Units) Averaging time = 3 minutes; Source group No. 1

Rank Value Time Recorded Coordinates hour,date (* denotes polar)

1 8.04E+00 03,09/02/10 (660621, 7740892, 0.0) 2 8.04E+00 04,09/02/10 (660621, 7740892, 0.0) 3 8.03E+00 02,14/04/10 (660721, 7740892, 0.0) 4 8.02E+00 20,21/06/10 (660621, 7740792, 0.0) 5 7.87E+00 22,12/06/10 (660621, 7740792, 0.0) 6 7.87E+00 22,25/07/10 (660621, 7740792, 0.0) 7 7.72E+00 23,16/10/10 (660521, 7740792, 0.0) 8 7.51E+00 23,17/10/10 (660521, 7741092, 0.0) 9 7.13E+00 01,11/03/10 (660621, 7741092, 0.0) 10 6.93E+00 22,21/04/10 (660621, 7740792, 0.0) 11 6.92E+00 21,04/05/10 (660621, 7740892, 0.0) 12 6.86E+00 21,21/04/10 (660621, 7740792, 0.0) 13 6.76E+00 04,14/04/10 (660421, 7740892, 0.0) 14 6.32E+00 01,14/04/10 (660721, 7740892, 0.0) 15 6.28E+00 22,04/05/10 (660621, 7740892, 0.0) 16 6.22E+00 22,16/03/10 (660721, 7740892, 0.0) 17 6.17E+00 21,12/06/10 (660621, 7740792, 0.0) 18 6.06E+00 03,14/04/10 (660421, 7740892, 0.0) 19 5.90E+00 02,11/03/10 (660621, 7741092, 0.0) 20 5.69E+00 24,17/06/10 (660621, 7740892, 0.0) 21 5.58E+00 03,15/04/10 (660621, 7740992, 0.0) 22 5.55E+00 04,12/04/10 (660621, 7740992, 0.0) 23 5.49E+00 03,16/12/10 (660821, 7740992, 0.0) 24 5.44E+00 19,29/05/10 (660621, 7740692, 0.0) 25 5.44E+00 21,21/06/10 (660621, 7740692, 0.0)

Page 3

Boodarie 4ou 26 5.40E+00 04,15/04/10 (660621, 7740992, 0.0) 27 5.31E+00 23,25/07/10 (660621, 7740792, 0.0) 28 5.25E+00 20,22/09/10 (660621, 7740892, 0.0) 29 5.22E+00 01,18/06/10 (660621, 7740892, 0.0) 30 5.10E+00 04,26/05/10 (660321, 7740992, 0.0) 31 5.08E+00 04,16/12/10 (660821, 7740992, 0.0) 32 4.96E+00 04,11/03/10 (660621, 7741192, 0.0) 33 4.70E+00 02,28/08/10 (660321, 7740992, 0.0) 34 4.70E+00 21,25/02/10 (660621, 7740892, 0.0) 35 4.47E+00 02,18/10/10 (660621, 7740992, 0.0) 36 4.39E+00 22,02/05/10 (660621, 7740992, 0.0) 37 4.32E+00 23,09/03/10 (660821, 7741092, 0.0) 38 4.32E+00 24,20/10/10 (660821, 7741092, 0.0) 39 4.28E+00 19,12/06/10 (660621, 7740892, 0.0) 40 4.24E+00 24,12/09/10 (660721, 7740992, 0.0) 41 4.19E+00 07,01/10/10 (660621, 7740992, 0.0) 42 4.18E+00 01,13/06/10 (660521, 7740992, 0.0) 43 4.17E+00 23,03/06/10 (660521, 7740992, 0.0) 44 4.15E+00 20,03/08/10 (660721, 7740892, 0.0) 45 4.14E+00 23,25/05/10 (660621, 7740992, 0.0) 46 4.04E+00 06,13/02/10 (660721, 7740892, 0.0) 47 4.04E+00 22,06/08/10 (660721, 7740992, 0.0) 48 3.96E+00 02,08/08/10 (660621, 7741092, 0.0) 49 3.95E+00 22,23/06/10 (660621, 7740992, 0.0) 50 3.94E+00 20,12/06/10 (660621, 7740892, 0.0) 51 3.91E+00 05,15/12/10 (660721, 7740992, 0.0) 52 3.85E+00 22,28/06/10 (660521, 7741292, 0.0) 53 3.72E+00 23,27/09/10 (660621, 7740992, 0.0) 54 3.57E+00 04,09/09/10 (660621, 7741092, 0.0) 55 3.54E+00 05,09/09/10 (660621, 7740992, 0.0) 56 3.49E+00 02,09/02/10 (660721, 7740892, 0.0) 57 3.49E+00 20,28/08/10 (660721, 7740892, 0.0) 58 3.45E+00 02,14/12/10 (660621, 7740892, 0.0) 59 3.44E+00 23,28/09/10 (660621, 7740792, 0.0) 60 3.42E+00 03,03/01/10 (660921, 7740992, 0.0) 61 3.36E+00 02,23/02/10 (660621, 7740892, 0.0) 62 3.31E+00 02,06/01/10 (660421, 7740892, 0.0) 63 3.30E+00 24,10/12/10 (660721, 7740992, 0.0) 64 3.29E+00 07,26/03/10 (660621, 7740992, 0.0) 65 3.29E+00 06,01/05/10 (660521, 7740992, 0.0) 66 3.23E+00 23,04/01/10 (660621, 7740792, 0.0) 67 3.23E+00 02,21/02/10 (660621, 7740792, 0.0) 68 3.22E+00 04,22/04/10 (660521, 7741092, 0.0) 69 3.17E+00 06,23/02/10 (660721, 7740992, 0.0) 70 3.17E+00 07,23/02/10 (660721, 7740992, 0.0) 71 3.13E+00 01,28/08/10 (660721, 7740992, 0.0) 72 3.12E+00 04,02/04/10 (660521, 7740792, 0.0) 73 3.12E+00 10,09/02/10 (660621, 7740992, 0.0) 74 3.03E+00 21,23/06/10 (660721, 7740892, 0.0) 75 3.00E+00 04,15/12/10 (660721, 7740892, 0.0) 76 2.98E+00 21,03/08/10 (660721, 7740892, 0.0) 77 2.97E+00 19,12/07/10 (660621, 7740792, 0.0) 78 2.90E+00 07,22/04/10 (660521, 7740892, 0.0) 79 2.88E+00 03,23/04/10 (660521, 7741092, 0.0) 80 2.86E+00 22,18/06/10 (660321, 7740892, 0.0) 81 2.85E+00 08,25/12/10 (660521, 7740892, 0.0) 82 2.85E+00 07,21/11/10 (660521, 7740892, 0.0) 83 2.84E+00 22,16/09/10 (660621, 7740892, 0.0) 84 2.84E+00 05,19/04/10 (660721, 7740992, 0.0) 85 2.83E+00 23,18/03/10 (660621, 7740892, 0.0) 86 2.83E+00 19,30/05/10 (660621, 7740892, 0.0) 87 2.83E+00 20,30/05/10 (660621, 7740892, 0.0) 88 2.81E+00 04,15/01/10 (660621, 7740992, 0.0)

Page 4

Boodarie 4ou 89 2.81E+00 05,14/04/10 (660621, 7740992, 0.0) 90 2.79E+00 21,02/06/10 (660621, 7740992, 0.0) 91 2.79E+00 23,29/09/10 (660621, 7740992, 0.0) 92 2.79E+00 20,06/08/10 (660621, 7740892, 0.0) 93 2.78E+00 23,29/03/10 (660621, 7740892, 0.0) 94 2.75E+00 21,05/10/10 (660621, 7741092, 0.0) 95 2.75E+00 21,05/06/10 (660521, 7740992, 0.0) 96 2.73E+00 05,16/01/10 (660621, 7740992, 0.0) 97 2.73E+00 07,13/02/10 (660621, 7740892, 0.0) 98 2.71E+00 22,15/07/10 (660621, 7740692, 0.0) 99 2.70E+00 05,03/01/10 (660521, 7741192, 0.0) 100 2.70E+00 22,24/03/10 (660621, 7740992, 0.0)

_____________________________________________________________________________



1 1.34E+01 03,09/02/10 (660621, 7740892, 0.0) 2 1.34E+01 04,09/02/10 (660621, 7740892, 0.0) 3 1.34E+01 02,14/04/10 (660721, 7740892, 0.0) 4 1.34E+01 20,21/06/10 (660621, 7740792, 0.0) 5 1.31E+01 22,12/06/10 (660621, 7740792, 0.0) 6 1.31E+01 22,25/07/10 (660621, 7740792, 0.0) 7 1.29E+01 23,16/10/10 (660521, 7740792, 0.0) 8 1.25E+01 23,17/10/10 (660521, 7741092, 0.0) 9 1.19E+01 01,11/03/10 (660621, 7741092, 0.0) 10 1.16E+01 22,21/04/10 (660621, 7740792, 0.0) 11 1.15E+01 21,04/05/10 (660621, 7740892, 0.0) 12 1.14E+01 21,21/04/10 (660621, 7740792, 0.0) 13 1.13E+01 04,14/04/10 (660421, 7740892, 0.0) 14 1.05E+01 01,14/04/10 (660721, 7740892, 0.0) 15 1.05E+01 22,04/05/10 (660621, 7740892, 0.0) 16 1.04E+01 22,16/03/10 (660721, 7740892, 0.0) 17 1.03E+01 21,12/06/10 (660621, 7740792, 0.0) 18 1.01E+01 03,14/04/10 (660421, 7740892, 0.0) 19 9.84E+00 02,11/03/10 (660621, 7741092, 0.0) 20 9.48E+00 24,17/06/10 (660621, 7740892, 0.0) 21 9.30E+00 03,15/04/10 (660621, 7740992, 0.0) 22 9.25E+00 04,12/04/10 (660621, 7740992, 0.0) 23 9.15E+00 03,16/12/10 (660821, 7740992, 0.0) 24 9.06E+00 19,29/05/10 (660621, 7740692, 0.0) 25 9.06E+00 21,21/06/10 (660621, 7740692, 0.0) 26 9.00E+00 04,15/04/10 (660621, 7740992, 0.0) 27 8.86E+00 23,25/07/10 (660621, 7740792, 0.0) 28 8.76E+00 20,22/09/10 (660621, 7740892, 0.0) 29 8.69E+00 01,18/06/10 (660621, 7740892, 0.0) 30 8.50E+00 04,26/05/10 (660321, 7740992, 0.0) 31 8.46E+00 04,16/12/10 (660821, 7740992, 0.0) 32 8.27E+00 04,11/03/10 (660621, 7741192, 0.0) 33 7.84E+00 02,28/08/10 (660321, 7740992, 0.0) 34 7.83E+00 21,25/02/10 (660621, 7740892, 0.0) 35 7.45E+00 02,18/10/10 (660621, 7740992, 0.0) 36 7.31E+00 22,02/05/10 (660621, 7740992, 0.0) 37 7.21E+00 23,09/03/10 (660821, 7741092, 0.0) 38 7.21E+00 24,20/10/10 (660821, 7741092, 0.0) 39 7.13E+00 19,12/06/10 (660621, 7740892, 0.0) 40 7.07E+00 24,12/09/10 (660721, 7740992, 0.0) 41 6.98E+00 07,01/10/10 (660621, 7740992, 0.0)

Page 5

Boodarie 4ou 42 6.97E+00 01,13/06/10 (660521, 7740992, 0.0) 43 6.95E+00 23,03/06/10 (660521, 7740992, 0.0) 44 6.91E+00 20,03/08/10 (660721, 7740892, 0.0) 45 6.90E+00 23,25/05/10 (660621, 7740992, 0.0) 46 6.74E+00 06,13/02/10 (660721, 7740892, 0.0) 47 6.73E+00 22,06/08/10 (660721, 7740992, 0.0) 48 6.60E+00 02,08/08/10 (660621, 7741092, 0.0) 49 6.58E+00 22,23/06/10 (660621, 7740992, 0.0) 50 6.57E+00 20,12/06/10 (660621, 7740892, 0.0) 51 6.51E+00 05,15/12/10 (660721, 7740992, 0.0) 52 6.42E+00 22,28/06/10 (660521, 7741292, 0.0) 53 6.20E+00 23,27/09/10 (660621, 7740992, 0.0) 54 5.96E+00 04,09/09/10 (660621, 7741092, 0.0) 55 5.90E+00 05,09/09/10 (660621, 7740992, 0.0) 56 5.82E+00 02,09/02/10 (660721, 7740892, 0.0) 57 5.82E+00 20,28/08/10 (660721, 7740892, 0.0) 58 5.75E+00 02,14/12/10 (660621, 7740892, 0.0) 59 5.73E+00 23,28/09/10 (660621, 7740792, 0.0) 60 5.70E+00 03,03/01/10 (660921, 7740992, 0.0) 61 5.61E+00 02,23/02/10 (660621, 7740892, 0.0) 62 5.51E+00 02,06/01/10 (660421, 7740892, 0.0) 63 5.51E+00 24,10/12/10 (660721, 7740992, 0.0) 64 5.49E+00 07,26/03/10 (660621, 7740992, 0.0) 65 5.48E+00 06,01/05/10 (660521, 7740992, 0.0) 66 5.38E+00 23,04/01/10 (660621, 7740792, 0.0) 67 5.38E+00 02,21/02/10 (660621, 7740792, 0.0) 68 5.36E+00 04,22/04/10 (660521, 7741092, 0.0) 69 5.28E+00 06,23/02/10 (660721, 7740992, 0.0) 70 5.28E+00 07,23/02/10 (660721, 7740992, 0.0) 71 5.21E+00 01,28/08/10 (660721, 7740992, 0.0) 72 5.21E+00 04,02/04/10 (660521, 7740792, 0.0) 73 5.20E+00 10,09/02/10 (660621, 7740992, 0.0) 74 5.05E+00 21,23/06/10 (660721, 7740892, 0.0) 75 4.99E+00 04,15/12/10 (660721, 7740892, 0.0) 76 4.97E+00 21,03/08/10 (660721, 7740892, 0.0) 77 4.95E+00 19,12/07/10 (660621, 7740792, 0.0) 78 4.84E+00 07,22/04/10 (660521, 7740892, 0.0) 79 4.80E+00 03,23/04/10 (660521, 7741092, 0.0) 80 4.77E+00 22,18/06/10 (660321, 7740892, 0.0) 81 4.76E+00 08,25/12/10 (660521, 7740892, 0.0) 82 4.75E+00 07,21/11/10 (660521, 7740892, 0.0) 83 4.74E+00 22,16/09/10 (660621, 7740892, 0.0) 84 4.73E+00 05,19/04/10 (660721, 7740992, 0.0) 85 4.72E+00 23,18/03/10 (660621, 7740892, 0.0) 86 4.71E+00 19,30/05/10 (660621, 7740892, 0.0) 87 4.71E+00 20,30/05/10 (660621, 7740892, 0.0) 88 4.69E+00 04,15/01/10 (660621, 7740992, 0.0) 89 4.69E+00 05,14/04/10 (660621, 7740992, 0.0) 90 4.65E+00 21,02/06/10 (660621, 7740992, 0.0) 91 4.65E+00 23,29/09/10 (660621, 7740992, 0.0) 92 4.65E+00 20,06/08/10 (660621, 7740892, 0.0) 93 4.63E+00 23,29/03/10 (660621, 7740892, 0.0) 94 4.58E+00 21,05/10/10 (660621, 7741092, 0.0) 95 4.58E+00 21,05/06/10 (660521, 7740992, 0.0) 96 4.55E+00 05,16/01/10 (660621, 7740992, 0.0) 97 4.54E+00 07,13/02/10 (660621, 7740892, 0.0) 98 4.52E+00 22,15/07/10 (660621, 7740692, 0.0) 99 4.50E+00 05,03/01/10 (660521, 7741192, 0.0) 100 4.50E+00 22,24/03/10 (660621, 7740992, 0.0)

_____________________________________________________________________________

Page 6

Boodarie 4ou1 Peak values for the 100 worst cases (in Odour_Units) Averaging time = 3 minutes; Source group No. 3


1 2.68E+01 03,09/02/10 (660621, 7740892, 0.0) 2 2.68E+01 04,09/02/10 (660621, 7740892, 0.0) 3 2.68E+01 02,14/04/10 (660721, 7740892, 0.0) 4 2.67E+01 20,21/06/10 (660621, 7740792, 0.0) 5 2.62E+01 22,12/06/10 (660621, 7740792, 0.0) 6 2.62E+01 22,25/07/10 (660621, 7740792, 0.0) 7 2.57E+01 23,16/10/10 (660521, 7740792, 0.0) 8 2.50E+01 23,17/10/10 (660521, 7741092, 0.0) 9 2.38E+01 01,11/03/10 (660621, 7741092, 0.0) 10 2.31E+01 22,21/04/10 (660621, 7740792, 0.0) 11 2.31E+01 21,04/05/10 (660621, 7740892, 0.0) 12 2.29E+01 21,21/04/10 (660621, 7740792, 0.0) 13 2.25E+01 04,14/04/10 (660421, 7740892, 0.0) 14 2.11E+01 01,14/04/10 (660721, 7740892, 0.0) 15 2.09E+01 22,04/05/10 (660621, 7740892, 0.0) 16 2.07E+01 22,16/03/10 (660721, 7740892, 0.0) 17 2.06E+01 21,12/06/10 (660621, 7740792, 0.0) 18 2.02E+01 03,14/04/10 (660421, 7740892, 0.0) 19 1.97E+01 02,11/03/10 (660621, 7741092, 0.0) 20 1.90E+01 24,17/06/10 (660621, 7740892, 0.0) 21 1.86E+01 03,15/04/10 (660621, 7740992, 0.0) 22 1.85E+01 04,12/04/10 (660621, 7740992, 0.0) 23 1.83E+01 03,16/12/10 (660821, 7740992, 0.0) 24 1.81E+01 19,29/05/10 (660621, 7740692, 0.0) 25 1.81E+01 21,21/06/10 (660621, 7740692, 0.0) 26 1.80E+01 04,15/04/10 (660621, 7740992, 0.0) 27 1.77E+01 23,25/07/10 (660621, 7740792, 0.0) 28 1.75E+01 20,22/09/10 (660621, 7740892, 0.0) 29 1.74E+01 01,18/06/10 (660621, 7740892, 0.0) 30 1.70E+01 04,26/05/10 (660321, 7740992, 0.0) 31 1.69E+01 04,16/12/10 (660821, 7740992, 0.0) 32 1.65E+01 04,11/03/10 (660621, 7741192, 0.0) 33 1.57E+01 02,28/08/10 (660321, 7740992, 0.0) 34 1.57E+01 21,25/02/10 (660621, 7740892, 0.0) 35 1.49E+01 02,18/10/10 (660621, 7740992, 0.0) 36 1.46E+01 22,02/05/10 (660621, 7740992, 0.0) 37 1.44E+01 23,09/03/10 (660821, 7741092, 0.0) 38 1.44E+01 24,20/10/10 (660821, 7741092, 0.0) 39 1.43E+01 19,12/06/10 (660621, 7740892, 0.0) 40 1.41E+01 24,12/09/10 (660721, 7740992, 0.0) 41 1.40E+01 07,01/10/10 (660621, 7740992, 0.0) 42 1.39E+01 01,13/06/10 (660521, 7740992, 0.0) 43 1.39E+01 23,03/06/10 (660521, 7740992, 0.0) 44 1.38E+01 20,03/08/10 (660721, 7740892, 0.0) 45 1.38E+01 23,25/05/10 (660621, 7740992, 0.0) 46 1.35E+01 06,13/02/10 (660721, 7740892, 0.0) 47 1.35E+01 22,06/08/10 (660721, 7740992, 0.0) 48 1.32E+01 02,08/08/10 (660621, 7741092, 0.0) 49 1.32E+01 22,23/06/10 (660621, 7740992, 0.0) 50 1.31E+01 20,12/06/10 (660621, 7740892, 0.0) 51 1.30E+01 05,15/12/10 (660721, 7740992, 0.0) 52 1.28E+01 22,28/06/10 (660521, 7741292, 0.0) 53 1.24E+01 23,27/09/10 (660621, 7740992, 0.0) 54 1.19E+01 04,09/09/10 (660621, 7741092, 0.0) 55 1.18E+01 05,09/09/10 (660621, 7740992, 0.0) 56 1.16E+01 02,09/02/10 (660721, 7740892, 0.0) 57 1.16E+01 20,28/08/10 (660721, 7740892, 0.0)

Page 7

Boodarie 4ou 58 1.15E+01 02,14/12/10 (660621, 7740892, 0.0) 59 1.15E+01 23,28/09/10 (660621, 7740792, 0.0) 60 1.14E+01 03,03/01/10 (660921, 7740992, 0.0) 61 1.12E+01 02,23/02/10 (660621, 7740892, 0.0) 62 1.10E+01 02,06/01/10 (660421, 7740892, 0.0) 63 1.10E+01 24,10/12/10 (660721, 7740992, 0.0) 64 1.10E+01 07,26/03/10 (660621, 7740992, 0.0) 65 1.10E+01 06,01/05/10 (660521, 7740992, 0.0) 66 1.08E+01 23,04/01/10 (660621, 7740792, 0.0) 67 1.08E+01 02,21/02/10 (660621, 7740792, 0.0) 68 1.07E+01 04,22/04/10 (660521, 7741092, 0.0) 69 1.06E+01 06,23/02/10 (660721, 7740992, 0.0) 70 1.06E+01 07,23/02/10 (660721, 7740992, 0.0) 71 1.04E+01 01,28/08/10 (660721, 7740992, 0.0) 72 1.04E+01 04,02/04/10 (660521, 7740792, 0.0) 73 1.04E+01 10,09/02/10 (660621, 7740992, 0.0) 74 1.01E+01 21,23/06/10 (660721, 7740892, 0.0) 75 9.98E+00 04,15/12/10 (660721, 7740892, 0.0) 76 9.94E+00 21,03/08/10 (660721, 7740892, 0.0) 77 9.90E+00 19,12/07/10 (660621, 7740792, 0.0) 78 9.68E+00 07,22/04/10 (660521, 7740892, 0.0) 79 9.59E+00 03,23/04/10 (660521, 7741092, 0.0) 80 9.54E+00 22,18/06/10 (660321, 7740892, 0.0) 81 9.51E+00 08,25/12/10 (660521, 7740892, 0.0) 82 9.49E+00 07,21/11/10 (660521, 7740892, 0.0) 83 9.48E+00 22,16/09/10 (660621, 7740892, 0.0) 84 9.45E+00 05,19/04/10 (660721, 7740992, 0.0) 85 9.44E+00 23,18/03/10 (660621, 7740892, 0.0) 86 9.42E+00 19,30/05/10 (660621, 7740892, 0.0) 87 9.42E+00 20,30/05/10 (660621, 7740892, 0.0) 88 9.38E+00 04,15/01/10 (660621, 7740992, 0.0) 89 9.38E+00 05,14/04/10 (660621, 7740992, 0.0) 90 9.30E+00 21,02/06/10 (660621, 7740992, 0.0) 91 9.30E+00 23,29/09/10 (660621, 7740992, 0.0) 92 9.30E+00 20,06/08/10 (660621, 7740892, 0.0) 93 9.27E+00 23,29/03/10 (660621, 7740892, 0.0) 94 9.16E+00 21,05/10/10 (660621, 7741092, 0.0) 95 9.15E+00 21,05/06/10 (660521, 7740992, 0.0) 96 9.09E+00 05,16/01/10 (660621, 7740992, 0.0) 97 9.09E+00 07,13/02/10 (660621, 7740892, 0.0) 98 9.04E+00 22,15/07/10 (660621, 7740692, 0.0) 99 9.01E+00 05,03/01/10 (660521, 7741192, 0.0) 100 9.00E+00 22,24/03/10 (660621, 7740992, 0.0)

_____________________________________________________________________________



1 5.36E+01 03,09/02/10 (660621, 7740892, 0.0) 2 5.36E+01 04,09/02/10 (660621, 7740892, 0.0) 3 5.35E+01 02,14/04/10 (660721, 7740892, 0.0) 4 5.35E+01 20,21/06/10 (660621, 7740792, 0.0) 5 5.25E+01 22,12/06/10 (660621, 7740792, 0.0) 6 5.25E+01 22,25/07/10 (660621, 7740792, 0.0) 7 5.14E+01 23,16/10/10 (660521, 7740792, 0.0) 8 5.00E+01 23,17/10/10 (660521, 7741092, 0.0) 9 4.75E+01 01,11/03/10 (660621, 7741092, 0.0) 10 4.62E+01 22,21/04/10 (660621, 7740792, 0.0)

Page 8

Boodarie 4ou 11 4.61E+01 21,04/05/10 (660621, 7740892, 0.0) 12 4.57E+01 21,21/04/10 (660621, 7740792, 0.0) 13 4.50E+01 04,14/04/10 (660421, 7740892, 0.0) 14 4.21E+01 01,14/04/10 (660721, 7740892, 0.0) 15 4.19E+01 22,04/05/10 (660621, 7740892, 0.0) 16 4.15E+01 22,16/03/10 (660721, 7740892, 0.0) 17 4.11E+01 21,12/06/10 (660621, 7740792, 0.0) 18 4.04E+01 03,14/04/10 (660421, 7740892, 0.0) 19 3.93E+01 02,11/03/10 (660621, 7741092, 0.0) 20 3.79E+01 24,17/06/10 (660621, 7740892, 0.0) 21 3.72E+01 03,15/04/10 (660621, 7740992, 0.0) 22 3.70E+01 04,12/04/10 (660621, 7740992, 0.0) 23 3.66E+01 03,16/12/10 (660821, 7740992, 0.0) 24 3.62E+01 19,29/05/10 (660621, 7740692, 0.0) 25 3.62E+01 21,21/06/10 (660621, 7740692, 0.0) 26 3.60E+01 04,15/04/10 (660621, 7740992, 0.0) 27 3.54E+01 23,25/07/10 (660621, 7740792, 0.0) 28 3.50E+01 20,22/09/10 (660621, 7740892, 0.0) 29 3.48E+01 01,18/06/10 (660621, 7740892, 0.0) 30 3.40E+01 04,26/05/10 (660321, 7740992, 0.0) 31 3.38E+01 04,16/12/10 (660821, 7740992, 0.0) 32 3.31E+01 04,11/03/10 (660621, 7741192, 0.0) 33 3.14E+01 02,28/08/10 (660321, 7740992, 0.0) 34 3.13E+01 21,25/02/10 (660621, 7740892, 0.0) 35 2.98E+01 02,18/10/10 (660621, 7740992, 0.0) 36 2.92E+01 22,02/05/10 (660621, 7740992, 0.0) 37 2.88E+01 23,09/03/10 (660821, 7741092, 0.0) 38 2.88E+01 24,20/10/10 (660821, 7741092, 0.0) 39 2.85E+01 19,12/06/10 (660621, 7740892, 0.0) 40 2.83E+01 24,12/09/10 (660721, 7740992, 0.0) 41 2.79E+01 07,01/10/10 (660621, 7740992, 0.0) 42 2.79E+01 01,13/06/10 (660521, 7740992, 0.0) 43 2.78E+01 23,03/06/10 (660521, 7740992, 0.0) 44 2.76E+01 20,03/08/10 (660721, 7740892, 0.0) 45 2.76E+01 23,25/05/10 (660621, 7740992, 0.0) 46 2.69E+01 06,13/02/10 (660721, 7740892, 0.0) 47 2.69E+01 22,06/08/10 (660721, 7740992, 0.0) 48 2.64E+01 02,08/08/10 (660621, 7741092, 0.0) 49 2.63E+01 22,23/06/10 (660621, 7740992, 0.0) 50 2.63E+01 20,12/06/10 (660621, 7740892, 0.0) 51 2.60E+01 05,15/12/10 (660721, 7740992, 0.0) 52 2.57E+01 22,28/06/10 (660521, 7741292, 0.0) 53 2.48E+01 23,27/09/10 (660621, 7740992, 0.0) 54 2.38E+01 04,09/09/10 (660621, 7741092, 0.0) 55 2.36E+01 05,09/09/10 (660621, 7740992, 0.0) 56 2.33E+01 02,09/02/10 (660721, 7740892, 0.0) 57 2.33E+01 20,28/08/10 (660721, 7740892, 0.0) 58 2.30E+01 02,14/12/10 (660621, 7740892, 0.0) 59 2.29E+01 23,28/09/10 (660621, 7740792, 0.0) 60 2.28E+01 03,03/01/10 (660921, 7740992, 0.0) 61 2.24E+01 02,23/02/10 (660621, 7740892, 0.0) 62 2.20E+01 02,06/01/10 (660421, 7740892, 0.0) 63 2.20E+01 24,10/12/10 (660721, 7740992, 0.0) 64 2.19E+01 07,26/03/10 (660621, 7740992, 0.0) 65 2.19E+01 06,01/05/10 (660521, 7740992, 0.0) 66 2.15E+01 23,04/01/10 (660621, 7740792, 0.0) 67 2.15E+01 02,21/02/10 (660621, 7740792, 0.0) 68 2.14E+01 04,22/04/10 (660521, 7741092, 0.0) 69 2.11E+01 06,23/02/10 (660721, 7740992, 0.0) 70 2.11E+01 07,23/02/10 (660721, 7740992, 0.0) 71 2.08E+01 01,28/08/10 (660721, 7740992, 0.0) 72 2.08E+01 04,02/04/10 (660521, 7740792, 0.0) 73 2.08E+01 10,09/02/10 (660621, 7740992, 0.0)

Page 9

Boodarie 4ou 74 2.02E+01 21,23/06/10 (660721, 7740892, 0.0) 75 2.00E+01 04,15/12/10 (660721, 7740892, 0.0) 76 1.99E+01 21,03/08/10 (660721, 7740892, 0.0) 77 1.98E+01 19,12/07/10 (660621, 7740792, 0.0) 78 1.94E+01 07,22/04/10 (660521, 7740892, 0.0) 79 1.92E+01 03,23/04/10 (660521, 7741092, 0.0) 80 1.91E+01 22,18/06/10 (660321, 7740892, 0.0) 81 1.90E+01 08,25/12/10 (660521, 7740892, 0.0) 82 1.90E+01 07,21/11/10 (660521, 7740892, 0.0) 83 1.90E+01 22,16/09/10 (660621, 7740892, 0.0) 84 1.89E+01 05,19/04/10 (660721, 7740992, 0.0) 85 1.89E+01 23,18/03/10 (660621, 7740892, 0.0) 86 1.88E+01 19,30/05/10 (660621, 7740892, 0.0) 87 1.88E+01 20,30/05/10 (660621, 7740892, 0.0) 88 1.88E+01 04,15/01/10 (660621, 7740992, 0.0) 89 1.88E+01 05,14/04/10 (660621, 7740992, 0.0) 90 1.86E+01 21,02/06/10 (660621, 7740992, 0.0) 91 1.86E+01 23,29/09/10 (660621, 7740992, 0.0) 92 1.86E+01 20,06/08/10 (660621, 7740892, 0.0) 93 1.85E+01 23,29/03/10 (660621, 7740892, 0.0) 94 1.83E+01 21,05/10/10 (660621, 7741092, 0.0) 95 1.83E+01 21,05/06/10 (660521, 7740992, 0.0) 96 1.82E+01 05,16/01/10 (660621, 7740992, 0.0) 97 1.82E+01 07,13/02/10 (660621, 7740892, 0.0) 98 1.81E+01 22,15/07/10 (660621, 7740692, 0.0) 99 1.80E+01 05,03/01/10 (660521, 7741192, 0.0) 100 1.80E+01 22,24/03/10 (660621, 7740992, 0.0)

Page 10

appendix 16 odour assessment (the odour unit, 2012) project number: #w1791l.08 report revision ......

Documents