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Detailed Assessment of Air Quality of Biomass Boiler Emissions - Armstrong Road, Basingstoke ___________________________________________________

Report for Basingstoke and Deane Borough Council

ED 60396002 | Issue Number 2 | Date 11/06/2015

Ricardo-AEA in Confidence

Detailed Assessment of Air Quality of Biomass Boiler Emissions - Armstrong Road, Basingstoke | i

Ricardo-AEA in Confidence Ref: Ricardo-AEA/ED60396002/Issue Number 2

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Customer: Contact:

Basingstoke and Deane Borough Council

Andy Lewin Ricardo-AEA Ltd Gemini Building, Harwell, Didcot, OX11 0QR, United Kingdom

t: +44 (0) 1235 75 3189

e: [email protected]

Ricardo-AEA is certificated to ISO9001 and ISO14001

Customer reference:

Confidentiality, copyright & reproduction:

This report is the Copyright of Basingstoke and Deane Borough Council and has been prepared by Ricardo-AEA Ltd under contract to Basingstoke and Deane Borough Council dated 11/06/2015. The contents of this report may not be reproduced in whole or in part, nor passed to any organisation or person without the specific prior written permission of Ricardo-AEA. Ricardo-AEA Ltd accepts no liability whatsoever to any third party for any loss or damage arising from any interpretation or use of the information contained in this report, or reliance on any views expressed therein.

Author:

Andy Lewin

Approved By:

Dr Scott Hamilton

Date:

11 June 2015

Ricardo-AEA reference:

Ref: ED60396002- Issue Number 2

Detailed Assessment of Air Quality of Biomass Boiler Emissions - Armstrong Road, Basingstoke | ii


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Executive summary

Ricardo-AEA have been commissioned by Basingstoke and Deane Borough Council to undertake a Detailed Assessment of Air Quality considering emissions from a biomass boiler located in Armstrong Road in the Daneshill area of Basingstoke. The assessment has been undertaken to investigate if exceedances of the Nitrogen Dioxide Air Quality Objectives are occurring at locations within the study area. This Detailed Assessment will allow the Council to decide whether or not an Air Quality Management Area is required at the location.

The assessment which has used the latest emission test data, local monitoring and the last five years of meteorological data for the study area in Basingstoke; indicates that there are no exceedances of the NO2 annual mean or 1-hour mean objective occurring at any locations where there is relevant human exposure present.

In light of this Detailed Assessment of Air quality, Basingstoke & Deane Borough Council are not required to declare an Air Quality Management Area at this time.

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Table of contents

1 Introduction ............................................................................................................................ 4 1.1 Policy background ........................................................................................................ 4 1.2 Locations where the objectives apply ........................................................................... 5 1.3 Purpose of the Detailed Assessment ............................................................................. 6 1.4 Overview of the Detailed Assessment ........................................................................... 6

2 Detailed Assessment study area ............................................................................................. 6

3 Information used to support this assessment ......................................................................... 8 3.1 Maps ............................................................................................................................ 8 3.2 Ambient monitoring ..................................................................................................... 8 3.3 Background concentrations .......................................................................................... 8

4 Monitoring data 2014 ............................................................................................................. 9

5 Modelling methodology ........................................................................................................ 11 5.1 Model description ...................................................................................................... 11 5.2 Model input data ........................................................................................................ 11

6 Modelling results .................................................................................................................. 18 6.1 Sensitivity analysis ...................................................................................................... 18 6.2 Modelled NO2 concentrations ..................................................................................... 19 6.3 Model results at receptor locations ............................................................................ 19

7 Conclusion ............................................................................................................................ 22

8 Acknowledgements .............................................................................................................. 23

Appendices

Appendix 1: Meteorological dataset wind roses

Detailed Assessment of Air Quality of Biomass Boiler Emissions - Armstrong Road, Basingstoke | 4


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1 Introduction

Ricardo-AEA have been commissioned by Basingstoke and Deane Borough Council to undertake a Detailed Assessment of Air Quality considering emissions from a biomass boiler located in Armstrong Road in the Daneshill area of Basingstoke. The assessment has been undertaken to investigate if exceedances of the Nitrogen Dioxide (NO2) Air Quality Objectives are occurring at locations within the study area. This Detailed Assessment will allow the Council to decide whether or not an Air Quality Management Area is required at the location..

1.1 Policy background

The Environment Act 1995 placed a responsibility on the UK Government to prepare an Air Quality Strategy (AQS) for England, Scotland, Wales and Northern Ireland. The most recent version of the strategy (2007) sets out the current UK framework for air quality management and includes a number of air quality objectives for specific pollutants.

The 1995 Act also requires that Local Authorities “Review and Assess” air quality in their areas following a prescribed timetable. The Review and Assessment process is intended to locate and spatially define areas where the AQS objectives are not being met. In such instances the Local Authority is required to declare an Air Quality Management Area (AQMA), carry out a Further Assessment of Air Quality, and develop an Air Quality Action Plan (AQAP) which should include measures to improve air quality so that the objectives may be achieved in the future. The timetables and methodologies for carrying out Review and Assessment studies are prescribed in Defra’s Technical Guidance - LAQM.TG(09).

Table 1 lists the objectives relevant to this assessment that are included in the Air Quality Regulations 2000 and (Amendment) Regulations 2002 for the purposes of Local Air Quality Management (LAQM).

Table 1: NO2 Objectives included in the Air Quality Regulations and subsequent Amendments for the purpose of Local Air Quality Management

Pollutant Air Quality Objective Concentration

Measured as

Nitrogen dioxide 200 µg.m-3 not to be exceeded more than 18 times a year

1 hour mean

40 µg.m-3 Annual mean



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1.2 Locations where the objectives apply

When carrying out the review and assessment of air quality it is only necessary to focus on areas where the public are likely to be regularly present and are likely to be exposed over the averaging period of the objective. Table 2 summarises examples of where the air quality objectives for NO2 should and should not apply.

Table 2: Examples of where the NO2 Air Quality Objectives should and should not apply

Averaging Period

Pollutant Objectives should apply at…. Objectives should not generally apply at…

Annual mean NO2 All locations where members of the public might be regularly exposed. Building façades of residential properties, schools, hospitals, care homes etc.

Building facades of offices or other places of work where members of the public do not have regular access.

Hotels, unless people live there as their permanent residence.

Gardens of residential properties.

Kerbside sites (as opposed to locations at the building façade), or any other location where public exposure is expected to be short term

1-hour mean NO2 All locations where the annual mean and 24 and 8 hour mean objectives apply.

Kerbside sites (e.g. pavements of busy shopping streets).

Those parts of car parks and railway stations etc. which are not fully enclosed.

Any outdoor locations to which the public might reasonably be expected to have access.

Kerbside sites where the public would not be expected to have regular access.



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1.3 Purpose of the Detailed Assessment

This study is a Detailed Assessment, which aims to assess the magnitude and spatial extent of any exceedances of the NO2 annual mean objective at locations where relevant human exposure may occur within the study area in Basingstoke.

1.4 Overview of the Detailed Assessment

The general approach taken to this Detailed Assessment was:

Collect and interpret boiler specification and emissions data for input to an atmospheric dispersion model.

Obtain local background pollutant concentrations from national mapping and air quality monitoring.

Using five consecutive years of relevant meteorological data, model annual mean concentrations of nitrogen dioxide (NO2) around the study area, concentrating on the locations (receptors) where relevant human exposure may occur.

Report the predicted worst-case annual mean pollutant concentrations at nearby receptor locations; and the predicted spatial variation in concentrations across the study area using contour plots.

Recommend if Basingstoke and Deane Borough Council should declare an AQMA at any location within the study area and suggest its spatial extent.

The modelling methodologies provided for Detailed Assessments outlined in Defra Technical Guidance LAQM.TG(09) were used throughout this study.

2 Detailed Assessment study area

Basingstoke is a large town in northeast Hampshire. It is located approximately 48 miles southwest of London, and 19 miles northeast of the Winchester. The Detailed Assessment is concerned with stack emissions from a biomass boiler located at Armstrong Road which is located approximately 1.5km north east of the town centre in the Daneshill area.

Armstrong Road is within an area mainly used for commercial and warehousing purposes. The residential area Little Basing is located approximately 250m north east of the stack location. The study area, including the location of the emission source being assessed is presented in Figure 1 below. The study area assessed is approximately 1.5 km square.



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Figure 1: Detailed Assessment Study Area

Legend:

Study area boundary

Contains Ordnance Survey data © Crown copyright and database right 2015



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3 Information used to support this assessment

3.1 Maps

Ordnance Survey based GIS data of the model domain and a road centreline GIS dataset were used in the assessment. This enabled accurate road widths and the distance of the housing to the kerb to be determined in ArcMap.

All maps in this document contain Ordnance Survey data © Crown copyright and database right 2013.

All OS Mastermap maps in this document are reproduced from Ordnance Survey material with permission of Her Majesty’s Stationery Office © Crown Copyright and database right 2015. All rights reserved. Ordnance Survey License number LA100019356.

3.2 Ambient monitoring

Basingstoke and Deane Council currently undertakes monitoring of NO2 within the study area at eleven diffusion tube sites. Further details of these monitoring locations and recent measured concentrations are provided in Section 4.

3.3 Background concentrations

Background NOx concentrations for a dispersion modelling study can be accessed from either local monitoring data conducted at a background site or from the Defra background maps1. The Defra background maps are the outputs of a national scale dispersion model provided at a 1km x 1km resolution and are therefore subject to a degree of uncertainty.

In this case the closest urban background monitoring site is located at Stocker Close in Basingstoke which is located approximately 2.5 km south west of the study area in a different part of the town. The locality of the background tube site is not considered representative of the Daneshill area therefore the Defra mapped background concentration was used for the assessment. The mapped background concentration for the relevant grid 1 km x 1 km square was 19.2 µg.m-3.

1 Defra (2012) http://laqm1.defra.gov.uk/review/tools/background.php (accessed September 2012)

http://laqm1.defra.gov.uk/review/tools/background.php



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4 Monitoring data 2014

Basingstoke and Deane Borough Council currently monitors NO2 within the study area in Basingstoke at three diffusion tubes sites. All three sites were deployed specifically to assess the potential impact of NOx emissions from the biomass boiler at Armstrong Road. A map showing the approximate location of the diffusion tube sites is presented in Figure 2.

Details of the NO2 diffusion tube monitoring site and the annual mean NO2 concentrations measured during 2014 are presented in Table 3. The diffusion tubes were deployed for six months only from July to December; the six month period means have therefore been adjusted to an estimated annual mean using the method described in box 3.2 of the TG(09) guidance.

No annual mean NO2 concentrations in excess of the 40 µg.m-3 objective were measured at these sites during 2014.

Full details of the bias adjustment factor applied to the diffusion tube results, QA/QC procedures and the short term to long term adjustments applied are available in the Basingstoke and Deane Borough Council 2015 Updating and Screening Assessment2.

Table 3: NO2 diffusion tube measurements 2014

Site Type Easting Northing Data Capture 2014 (%)

Bias corrected (0.91) annual mean 2014

(µg.m-3)

Site 27 Special 465358 153015 42% 25.3

Site 28 Special 465568 153183 50% 18.4

Site 29 Special 465646 153223 50% 17.2

Site 30 Special 465486 153287 50% 18.7

2 Basingstoke and Deane Borough Council (2015) LAQM Updating and Screening assessment



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Figure 2: Diffusion tube locations

Legend:

Diffusion tube location

Contains Ordnance Survey data © Crown copyright and database right 2015



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5 Modelling methodology

5.1 Model description

The air quality impact in the area surrounding the proposed biomass boilers was calculated using the Atmospheric Dispersion Modelling System ADMS 5.0

ADMS 5.0 is the latest version of a new generation dispersion model developed by Cambridge Environmental Research Consultants Ltd (CERC) which has been extensively validated to international standard dispersion modelling standards. New generation dispersion models describe the atmospheric boundary layer in terms of the boundary layer depth and the Monin-Obukhov length and allow for the use of a skewed Gaussian distribution under convective meteorological conditions. These facilities allow for accurate predictions of emission concentrations under different meteorological conditions.

5.2 Model input data

5.2.1 Model domain

The dispersion modelling study aimed to assess the impact of atmospheric pollutant emissions from the biomass boiler on the area surrounding the site. Pollutant dispersion was calculated over a regular Cartesian grid pattern and at specified receptor points. The modelled domain consisted of a 1.3 km x 1.1 km grid which predicted pollutant concentrations at a resolution of 13 m centred on the proposed boiler flue location. A grid heights of 1.5 m was modelled to represent ground level human exposure.

5.2.2 Specified receptor locations

Sensitive receptor locations have been specified within the model domain to represent locations where humans may be exposed to atmospheric pollutant emissions from the proposed biomass boiler. The human receptors included in the assessment consist of residential and public properties.

Receptor points have been placed at the façade of a selection of nearby commercial and residential properties at both ground level (1.5 m) and 1st floor height (4m). Details of the receptors included are presented in Table 4 and the locations annotated on Figure 3.

Table 4: Specified Receptor Locations

Receptor Easting Northing Height modelled (m)

Description

Bolt & Tool Carpark 465381 153051 1.5 Commercial

Western House 1 465391 153011 1.5 Commercial

Western House 2 465373 153009 4 Commercial

Lanscaping centre 465464 153069 1.5 Commercial

Saxon Way 1 465590 153150 4 Residential

Lambs Row 1 465554 153195 4 Residential

Blackberry Walk 1 465537 153286 4 Residential

Blackberry Walk 2 465508 153293 4 Residential



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Figure 3: Specified receptor locations

Reproduced from Ordnance Survey material with permission of Her Majesty’s Stationery Office © Crown Copyright and database right 2015. All rights reserved. Ordnance Survey License number LA100019356.



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5.2.3 Meteorology

ADMS 5 uses a range of hourly sequential meteorological data to calculate atmospheric dispersion. The main meteorological parameters used are wind speed and direction, near-surface temperature, cloud cover, relative humidity and precipitation.

Hourly sequential meteorological data for the Heathrow Airport measurement site was obtained for five calendar years 2010 to 2014. Wind roses for each meteorological dataset are presented in Appendix 1.

Examination of the wind roses shows that the winds measured at Heathrow are predominantly from the south-west with regular winds from the north-east. This is typical of the conditions experienced generally across the United Kingdom.

A minimum Monin–Obukhov length of 30 m was specified in the meteorological input to the model; CERC recommend this value when modelling large towns. The Monin-Obukhov Length is the height above ground, where mechanically produced (by vertical shear) turbulence is in balance with the dissipative effect of negative buoyancy.

5.2.4 Terrain and Land Use

The topographical features surrounding a site will have an influence on the dispersion of pollution in that area. This is accounted for in the surface roughness length specified in the model input; and an optional module which model the effects of complex terrain if require.

A surface roughness value of 1 m which represents parkland/open suburbia was considered appropriate for the study area in Basingstoke. A surface roughness of 0.005 m representing short grass was used for the meteorological measurement site at Heathrow.

Model default values were used for surface albedo (0.23) and the Priestley Taylor parameter (1).

Wind flows can be altered by the terrain of an area which can affect the dispersion of a plume. In particular, slopes with a gradient of greater than 1:10 can impact on this dispersion. From examination of digital terrain data, terrain within and surrounding the study area in Basingstoke is relatively flat; complex terrain effects were therefore not included in the model set up.

5.2.5 Building Parameters

ADMS contains an option to model algorithms that account for building downwash effects. Nearby buildings (within five stack heights from the stack; and with a height of more than one third of the stack height) can affect the dispersion of emissions from a stack. The main effect can be to increase concentrations in the immediate vicinity of the building, while reducing concentrations further away.

For this study, all existing buildings fitting this criteria were included in the model to assess their effect on dispersion. Building locations and heights were sourced from OS Mastermap data and aerial/street photography to ensure correct location and orientation for existing buildings.

The model requires the height, length, width and orientation of the buildings as input data. In this case the main hotel building was broken down into separate sections corresponding to the average height of that section. The buildings included in the model and the relevant input data are presented in Table 5. A plan view of the buildings modelled is presented in Figure 4.



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Table 5: Building included in model

Building Easting Northing Height (m)

Width (m) Length (m)

Angle (o)

Main Warehouse 465338 153055 7.8 30.2 31.1 33.1

Yard Awning 1 465372 153077 5 4.1 59.7 30.3

Yard Awning 2 465368 153113 5 2.9 38.7 121.8

Neighbouring building 1 465290 153061 6.5 18.0 12.0 31.0

Neighbouring building 2 465276 153081 4 18.6 31.0 31.0

Neighbouring building 3 465305 153091 5 14.3 22.6 31.0

Western House 465385 152961 6 43.8 96.3 172.8

Bolt and tool 465385 153074 5 18.6 44.1 32.1



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Figure 4: Plan view of buildings included in model




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5.2.6 Emissions data

The biomass boiler plant is rated at 750 KW. It is of the cement kiln type, fitted with cyclones followed by fabric filters to control particulate emissions. The original intention was that it should meet the pollutant emission limits of the Waste Incineration Directive and be operated according to the conditions of an Environmental Permit. However, in practice it could not meet the WID conditions and now burns virgin timber as woodchip and class A wood.

The biomass boiler stack location and dimension were provided in the Basingstoke and Deane 2012 Updating and Screening assessment. The stack location in the model was refined using local aerial and street photography. All boiler emissions data were taken from the latest (February 2015) stack emissions test report3.

NOx emission concentrations were sourced from the latest emissions test report and have been corrected to account for the reference oxygen and water content conditions specified in the test data. All modelling has been done on the understanding that the emission data for the site is still accurate and the test report is representative of conditions at the site.

5.2.6.1 Time varying emissions

To represent a worst case scenario, the boilers were assumed to be operational at full load 24 hours per day 365 days per year. This is considered to be a conservative approach to assessing emissions to air from the biomass boilers; in reality it’s likely that the boiler will operate at variable loads throughout the year depending on heat demand.

5.2.6.2 NOx to NO2 conversion ratios

In accordance with guidance issued by the Environment Agency for England and Wales4, an appropriate phased screening approach to assessing worst-case NO2 emissions has been adopted. As a first phase of the screening approach, 50% of NOX emitted is considered to be NO2 for the calculation of short-term NO2 concentrations and 100% of NOX emitted is considered to be NO2 for the calculation of long-term NO2 concentrations. If predicted concentrations are below the objective levels then no further assessment is required. If the predicted concentrations are above the objective level then the guidance recommends that 35% and 70% can be used for assessing the short and long term objectives respectively. In reality the NO2 is likely to form 5 to 10% of the total NOx by mass, with some oxidation of the emitted NO to NO2 occurring following emission; this approach is therefore considered a good worst case screening approach.

The stack emissions data, pollutant concentration at both test and actual conditions; and pollutant emission rate at actual conditions for the boiler operating at nominal output are presented in Table 6, Table 7, and Table 8 respectively.

3 Exova Catalyst (2015) Stack Emisssion Testing Report Commissioned by Roebuck Energy Ltd; Ref. CSW-1729 4 Environment Agency – Guidance note on: Conversion ratios for NOx and NO2



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Table 6: Stack emission parameters

Stack emission parameters Woodchip biomass boiler

Flue location grid reference Easting 465351

Northing 153049

Flue height (m) 13.5 m

Stack diameter (m) 1.0 m

Stack area (m2) 0.79 m2

Exit temp. (oC) 151 oC

Exit velocity (m.s-1) 5.3 m.s-1

Volume flow rate (actual)(m3.s-1) 2.67 m3.s-1

Table 7: Flue gas pollutant concentrations

Pollutant concentration At test reference conditions

6% O2, 0oC, 0% H20

At actual conditions

10.4% O2, 151oC, 15% H2O

NOx as NO2 (100%) (mg.m-3) 281 119.7

Table 8: Pollutant emission rates at actual conditions

Pollutant Emission Rate at actual conditions (g.s-1)

NOx as NO2 (100%) 0.498



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6 Modelling results

6.1 Sensitivity analysis

The results of dispersion modelling assessments are sensitive to the input parameters used. In particular, models are sensitive to the emission parameters, meteorological conditions, grid resolution, terrain data and building parameters. The LAQM.TG(09) guidance suggests that uncertainties are considered in any dispersion modelling study.

The purpose of the sensitivity analysis is to define reasonable ranges of uncertainty in the concentration predictions associated with the choice of year of the meteorological data. This provides a useful concentration metric which can be added or subtracted from average values calculated at receptors for a given condition. Say for instance we calculate an annual average value of 36 µg.m-3 at a receptor, and the result of the sensitivity analysis suggested a confidence interval of ± 4 µg.m-3, we could interpret the possible range of results as being between 32 to 40 µg.m-3. In this instance we have adopted a very conservative approach by a) developing the uncertainty value over the 5 year meteorological time series, and b) applying this additively to the worst case meteorological year. This provides additional assurances that possible exceedances are treated in a cautious, risk based manner.

This assessment included a sensitivity analysis of meteorological conditions measured at Heathrow over five consecutive years 2010 to 2014. The sensitivity analysis was used to determine the meteorological dataset that predicted the worst-case ambient pollutant concentrations and to assess the variability in predicted concentrations attributable to inter-year variability in meteorological data sets.

The pollutant concentrations predicted at the specified receptor locations in the model have been used for the sensitivity analysis. The results presented in the sensitivity analysis are for the process contribution only and do not include background concentrations.

Results of the sensitivity analysis are presented in Table 9. The results have been presented in accordance with the guidelines for presenting the variability of dispersion modelling results published by the UK Atmospheric Dispersion Modelling Liaison Committee5; as a five year mean value ± twice the standard deviation. This represents a variability range within which 97.5% of the values are expected to be found over the likely range of meteorological conditions that could occur in any year.

The sensitivity analysis indicates that the model predicts the worst case annual mean pollutant concentrations when using the 2011 meteorological dataset. The 2011 dataset has therefore been used to present the results at specified receptors and for the contour plots showing the spatial variation in predicted pollutant concentrations.

The analysis also indicates that the largest range of values predicted, and hence estimated uncertainty attributable to variation in meteorological effects is for the predicted NO2 hourly mean concentration (± 5.3 µg.m-3) which is 2.6% of the 200 µg.m-3 hourly mean objective.

5 ADMLC (2004) Guidelines for the Preparation of Dispersion Modelling Assessments for Compliance with Regulatory Requirements – an update to the 1995 Royal Meteorological Society Guidance; UK Atmospheric Dispersion Modelling Liaison Committee. Document ref. ADMLC/2004/3



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Table 9: Sensitivity analysis of meteorological dataset 2010- 2014 - maximum modelled NO2

Met. data year 2010 2011 2012 2013 2014 Mean Range value

Range %

Uncertainty value

(97.5% CI)

100 % NOX as NO2 annual mean (µg m-³ )

18.4 24.3 23.7 21.6 21.4 21.9 5.9 24.3% ± 4.7

50% NOX as NO2 99.79th percentile of 1-hour mean (µg m-³)

52.7 54.4 58.6 53.1 57.5 55.25 5.9 10.0% ± 5.3

6.2 Modelled NO2 concentrations

Annual mean NO2 concentrations have been predicted across a grid of points. The grid resolution is approximately 13 m. The gridded point values have been interpolated to produce contour plots showing the spatial variation of predicted concentrations across the study area.

A contour plot showing the spatial variation of the predicted 2014 annual mean NO2 concentrations across the study area at ground level (1.5m) is presented in Figure 5. The contour plot indicates that the 40 µg.m-3 annual mean objective is not being exceeded at ground level at any locations where relevant exposure is present at ground level.

A plot showing the predicted 99.79th percentile of 1-hour mean concentrations is presented in Figure 6. The plot indicates that the 200 µg.m-3 1-hour mean objective is not being exceeded at any locations where people may spend an hour or more.

6.3 Model results at receptor locations

The model has been used to predict NO2 concentrations for a selection of discrete receptors within the study area as detailed in Section 5.2.2 above. The receptors are located at the facade of buildings in the model domain where relevant exposure exists at both ground level (1.5 m) and first floor height (4m). The predicted annual mean NO2 concentrations at each of the specified receptors are presented in Table 10. As demonstrated by the pollutant contour plots, neither the annual mean nor the 1-hour mean NO2 objectives were exceeded at any of the receptor locations.

Table 10: Predicted NO2 concentrations at specified receptors

Receptor Type Annual mean (µg.m-3)

99.79th percentile of 1-hr means (µg.m-3)

Bolt & Tool Carpark Commercial 28.7 77.6

Western House 1 Commercial 23.2 74.5

Western House 2 Commercial 23.1 80.6

Landscaping centre Commercial 26.2 63.8

Saxon Way 1 Residential 23.3 52.8

Lambs Row 1 Residential 23.6 52.4

Blackberry Walk 1 Residential 23.2 51.0

Blackberry Walk 2 Residential 23.3 51.0



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Figure 5: Modelled spatial variation in worst case year (2011) NO2 annual mean concentrations at ground level - 1.5m

Legend:

NO2 annual mean concentration (µg.m-3)




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Figure 6: Modelled spatial variation in worst case year 99.79th percentile of 1-hour mean NO2 concentrations at ground level – 1.5m

Legend:

NO2 99.79th percentile of 1-hour mean concentration (µg.m-3)




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7 Conclusion

This modelling study has assessed the impact of a biomass boiler at Armstrong Road in Basingstoke on local NO2 concentrations. The assessment which has used the latest emission test data, local monitoring and the last five years of meteorological data for the study area in Basingstoke; indicates that there are no exceedances of the NO2 annual mean or 1-hour mean objective at any locations where there is relevant human exposure present.

In light of this Detailed Assessment of Air quality, Basingstoke & Deane Borough Council are not required to declare an Air Quality Management Area at this time.



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8 Acknowledgements

Ricardo-AEA gratefully acknowledges the support received from Sonya Hildebrandt and Bob Curtis at Basingstoke and Deane Borough Council.

Detailed Assessment of Air Quality of Biomass Boiler Emissions - Armstrong Road, Basingstoke


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Appendices

Appendix 1: Meteorological Dataset wind roses



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Appendix 1 – Meteorological Dataset wind roses

The wind roses for the Heathrow meteorological measurement site for the years 2010 to 2014 are presented in Figure A2.1.

Figure A2.1: Meteorological dataset wind roses

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Detailed Assessment of Air Quality of Biomass …...Detailed Assessment of Air Quality of Biomass...

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