Intercomparison of five modelling methods including ADMS-Airport and EDMS for. Airport. David Carruthers

Size: px
Start display at page:

Download "Intercomparison of five modelling methods including ADMS-Airport and EDMS for. Airport. David Carruthers"

Transcription

1 Intercomparison of five modelling methods including ADMS-Airport and EDMS for predicting air quality at London Heathrow Airport presented by David Carruthers Cambridge Environmental Research Consultants, UK at the AWMA Speciality Conference Guideline on Air Quality Models Denver 27 April 26

2 Project for the Sustainable Development of Heathrow Panels for Emissions, i Monitoring, i Modelling Model Intercomparison Exercise Models to represent emissions of all source types including aircraft and road traffic emissions and regional background. Dispersion of pollutants from the sources to include the impact of meteorology and other confounding factors. Models to includes conversion of NO to the NO 2 key pollutant. Model intercomparisons, comparisons with data and an exacting set of model diagnostic tests.

3 Candidate Models Netcen Methodology - semi empirical, uses ADMS 3 EDMS - FAA model, uses AERMOD ADMS-Airport ERG semi empirical uses ADMS 3 LASPORT lagrangian particle model

4 ADMS-Airport ADMS-Airport is an extension of ADMS-Urban designed to model pollutant concentrations in the neighbourhood of an airport. It includes all features of ADMS-Urban including the following: Allowance for up to 6 sources: road (15, each with upto 5 vertices), industrial (15), area sources (3); Fully integrated street canyon model based on Danish OSPM model/impacts dl/i of noise barriers; Local and regional NO x chemistry calculation (NO, NO 2 and O 3 ) ADMS-Urban based on ADMS 3; Local ADMS dispersion model nested within trajectory model Integrated with GIS and Emissions Database. Output via GIS includes high resolution pollutant concentration maps; ADMS dispersion based on ADMS 3.

5 ADMS-Airport ADMS 3 is listed as an EPA Alternative model; a new generation quasi gaussian type plume model (first version 1991) with many similar features to AERMOD. Significant differences/additions to AERMOD include: Plume may follow local streamline and is affected by variations in wind field; The integral plume rise jet model can take account of non vertical sources; Complex flow model FLOWSTAR allows treatment of hill wake effects; Concentration ti fluctuations ti model allows probabilistic bili assessment for short averaging times no deterministic solution. ADMS-Airport makes us of the jet model to explicitly model the impact of aircraft jet sources.

6 Schematic of ADMS 3 Integral Jet/Plume Model used in ADMS-Airport Airport Source Entrainment depends on relative motion and ambient turbulence entrainment coefficients. Conservation of mass, momentum, heat and species drag depends on velocity perpendicular to plume axis - drag coefficient Modifications within ADMS-Airport: -Allowance for movement of jet engine source; reduces effective bouyancy -Allowance for inpact of wake vortices on jet plume trajectory

7 Neutral met conditions, plume trajectory (z p ) (top), vertical spread (σ z ) (middle) and z p - σ z (bottom) Plume centreline height of the jet exhaust emitted at different points along the runway during takeoff The take-off roll starts at x = with the aircraft moving in the negative x-direction Plum me centreline height Zp (m) Difference between plume centreline height and vertical plume spread (Zp - sigma-z) of the jet exhaust emitted at different points along the runway during take-off The take-off roll starts at x = with the aircraft moving in the negative x-direction 2 Neutral conditions, 5m/s wind Release temperature degrees C X (m) 4 2 Vertical plume spread of the jet exhaust emitted at different points along the runway during take-off The take-off roll starts at x = with the aircraft moving in the negative x-direction Zp - sigma-z (m) Neutral conditions, 5m/s wind Release temperature degrees C X (m) sigma-z (m) Neutral conditions, 5m/s wind Release temperature degrees C X (m)

8 Local and Regional Scales Box model domain Main model domain First source Backgound monitoring site U Main model nested within large, area-wide trajectory model

9 Explicitly modelled road sources NOx (g/(km/s)) Kilometers

10 Example of emissions data -- Aircraft APUs

11 Monitoring Locations for model intercomparison Red = automatic monitoring sites; Green = diffusion tube sites; Blue = receptors for modelling.

12 (a) NOx, NO2 and Ozone (b) PM1 % Wicken Fen % Wicken Fen % Harwell 22 to to 6 % 135 to 22 6 to 135 % Rochester % Harwell 184 to 4 % 4 to 184 % Rochester Lullington Heath % Lullington Heath % Background concentrations for NO x, NO 2, O 3 and PM 1 22 NO x as NO 2 (µg/m 3 ) Annual average 15 Maximum hourly average th percentile 127 NO 2 (µg/m 3 ) Annual average 12 Maximum hourly average th percentile 62 O 3 3 (µg/m ) Annual average 52 Maximum hourly average th percentile 135 PM (μg/m 3 ) Annual average 19 1 Maximum hourly average st percentile of 24 hour averages th percentile of 24 hour averages 48

13 Model set up parameters Minimum Monin-Obukhov length (m) 2m Grid depth (m) 1 Surface roughness (m).5 Meteorology Heathrow 22 Surface roughness at met site (m) 2.2 Percentage of primary NO 2 in NO x by volume 1% all sources

14 Comparison of monitored and calculated NO X, NO 2 and ozone at automatic monitoring sites

15 S tt l t f it d d ADMS Ai t l l t d Scatter plot of monitored and ADMS-Airport calculated concentrations of NO X (left) and NO 2 (right).

16 Time series of monitored and calculated NO X (top) and NO 2 (bottom) in μg/m 3 at LHR2

17 Time series of monitored and calculated NO X (top) and NO 2 (bottom) in μg/m 3 at LHR2 (zoomed in view of previous slide).

18 NO x box and whisker plot Box and whisker plots for the ratio of (calculated/monitored) concentrations, NO X (top) and NO 2 (bottom). The lines indicate the 75 th, 5 th and 25 th percentiles and the lines extend from the 95 th to 5 th percentile..1 LHR2 LHR5 LHR6 LHR8 LHR1 LHR11 LHR14 LHR15 LHR16 LHR NO 2 box and whisker plot LHR2 LHR5 LHR6 LHR8 LHR1 LHR11 LHR14 LHR15 LHR16 LHR17

19 Average concentration at LHR2 during 22 with 27R operational and non-operational

20 Contribution of different components of aircraft sources to annual average NO X concentrations at LHR2

21 Measured LHR2 CERC predicted Measured LHR2 Cambridge predicted Measured LHR2 MMU predicted Polar plots of NO x at LHR2 with background concentrations subtracted.

22

23 Annual average NO X concentration (μg/m 3 ) (all sources)

24 Annual average NOX concentration (mg/m3) (aircraft sources only) km 2 km 4 km 6 km 8 km

25 Modelled Annual average NO2 concentration (mg/m3) (all sources)- ADMS-Airport

26 Conclusions o s Model Intercomparison (MIC) of five different modelling methods for air quality in vicinity of airports Focus of the presentation ADMS-Airport includes representation of jet engine emissisions as jet sources. An exacting series of model tests included annual means and statistics, sensitivity to windspeed, sensitivity to runway usage, transects including source apportionment, contour plots and areas of exceedences with comparisons with measured data where appropriate. The study was sponsored by the UK Department for Transport. The full study will be published on

David Carruthers, Christine McHugh, Stephanie Church, Mark Jackson, Matt Williams, Catheryn Price and Chetan Lad

David Carruthers, Christine McHugh, Stephanie Church, Mark Jackson, Matt Williams, Catheryn Price and Chetan Lad ADMS-AIRPORT: MODEL INTER-COMPARISIONS AND MODEL VALIDATION David Carruthers, Christine McHugh, Stephanie Church, Mark Jackson, Matt Williams, Catheryn Price and Chetan Lad CERC, 3 King s Parade, Cambridge

More information

Cambridge Environmental Research Consultants Ltd

Cambridge Environmental Research Consultants Ltd Cambridge Environmental Research Consultants Ltd Air quality modelling for West London: Hillingdon, Hounslow, Spelthorne and Slough Final Report Prepared for London Borough of Hillingdon 27th August 2002

More information

C E R C. Cambridge Environmental Research Consultants. Air Quality Modelling for the London Borough of Islington. Final Report. 14 th January 2015

C E R C. Cambridge Environmental Research Consultants. Air Quality Modelling for the London Borough of Islington. Final Report. 14 th January 2015 Cambridge Environmental Research Consultants Air Quality Modelling for the London Borough of Islington Final Report Prepared for London Borough of Islington 14 th January 2015 C E R C Report Information

More information

Cambridge Environmental Research Consultants Ltd

Cambridge Environmental Research Consultants Ltd Cambridge Environmental Research Consultants Ltd of ADMS-Urban For London TOPIC REPORT Prepared for DEFRA, National Assembly for Wales, The Scottish Executive, and the Department of the Environment, Northern

More information

3. DISPERSION MODELLING METHODOLOGY

3. DISPERSION MODELLING METHODOLOGY 3. DISPERSION MODELLING METHODOLOGY Detailed dispersion modelling of NO X and PM 10 has been undertaken using the Cambridge Environmental Research Consultants (CERC) Ltd ADMS-Roads advanced Gaussian air

More information

Benefits of Simulation Modeling for Airport Air Quality Assessments

Benefits of Simulation Modeling for Airport Air Quality Assessments Benefits of Simulation Modeling for Airport Air Quality Assessments TRB Environment and Energy Research Conference June 6-9, 2010 Brian Kim, Ph.D. Aviation Air Quality Manager Roger Wayson, Ph.D. Volpe

More information

Airport Local Air Quality. Zurich Airport Regional Air Quality Study 2013

Airport Local Air Quality. Zurich Airport Regional Air Quality Study 2013 Airport Local Air Quality Zurich Airport Regional Air Quality Study 2013 Contents 1. Introduction 3 2. Emission inventory 4 3. Dispersion Calculation 4 3.1. Airport Induced Pollution Concentrations 4 3.1.1.

More information

Cambridge Environmental Research Consultants Ltd

Cambridge Environmental Research Consultants Ltd Cambridge Environmental Research Consultants Ltd Comparison of ADMS-Urban, and ERG Air Quality Predictions For London TOPIC REPORT Prepared for DEFRA, National Assembly for Wales, The Scottish Executive,

More information

Modelling Smoke Dispersion in the Bureau of Meteorology

Modelling Smoke Dispersion in the Bureau of Meteorology Modelling Smoke Dispersion in the Bureau of Meteorology Outline What do we call modelling smoke dispersion? Why the Bureau? Background and summary of our experimental smoke dispersion system Limitations

More information

Emissions and Modelling Remapping London s Air pollution

Emissions and Modelling Remapping London s Air pollution Emissions and Modelling Remapping s Air pollution David Dajnak Environmental Research Group, King s College Main Objectives 1. What is King s recipe for mapping s Air pollution? 2. Are Others responsible

More information

4 DISPERSION (AIR QUALITY) MODELLING

4 DISPERSION (AIR QUALITY) MODELLING 4 DISPERSION (AIR QUALITY) MODELLING 4.1 Introduction To conduct a detailed assessment of the impact of variable emission loads on ambient air quality over a large area like a city, a pollutant dispersion

More information

Prediction of the distribution of the pollutants emitted by a waste incinerator in an urban area using numerical simulations

Prediction of the distribution of the pollutants emitted by a waste incinerator in an urban area using numerical simulations Prediction of the distribution of the pollutants emitted by a waste incinerator in an urban area using numerical simulations Abstract In the last years, the problem of the control of the toxic emissions

More information

DEVELOPMENT AND VALIDATION OF THE NEW TNO MODEL FOR THE DISPERSION OF TRAFFIC EMISSIONS

DEVELOPMENT AND VALIDATION OF THE NEW TNO MODEL FOR THE DISPERSION OF TRAFFIC EMISSIONS DEVELOPMENT AND VALIDATION OF THE NEW TNO MODEL FOR THE DISPERSION OF TRAFFIC EMISSIONS J. Wesseling, J. den Boeft, G.A.C. Boersen, K. Hollander, K.D. van den Hout, M.P. Keuken, H. Spoelstra, S.D. Teeuwisse,

More information

Review of the Clean Air Act provisions for dispersion from small gas boilers

Review of the Clean Air Act provisions for dispersion from small gas boilers Report for dispersion from small gas boilers Report to the Department for Environment, Food and Rural Affairs, the National Assembly for Wales the Scottish Executive and the Department of the Environment

More information

Atmospheric models: technical representation

Atmospheric models: technical representation Numerical Atmospheric-dispersion Modelling Environment (NAME) model ********************************************************************************** To types of atmospheric models: Eulerian and Lagrangian

More information

Air Pollution Examples for CEL 212-Environmental Engineering (Second Semester ) Air Quality and Meteorology. dt dz. Dry Adiabatic Lapse Rate

Air Pollution Examples for CEL 212-Environmental Engineering (Second Semester ) Air Quality and Meteorology. dt dz. Dry Adiabatic Lapse Rate Air Pollution Examples for CEL -Environmental Engineering (Second Semester 0-) Dr. Arun Kumar Civil Engineering (IIT Delhi) arunku@civil.iitd.ac.in Air Quality and Meteorology Courtesy: Dr. Irene Xagoraraki

More information

Large Eddy Simulations of Pollutant Dispersion in a Street Canyon

Large Eddy Simulations of Pollutant Dispersion in a Street Canyon Large Eddy Simulations of Pollutant Dispersion in a Street Canyon M. N. A. Mohd Yazid Department of Thermo-Fluids, Faculty of Mechanical, Engineering, UniversitiTechnologi Malaysia, 8310 Skudai, Johor

More information

4.16 AIR QUALITY DISPERSION MODELLING OF WOOD SMOKE EMISSIONS IN RESIDENTIAL AREAS IN SWEDEN. Sweden

4.16 AIR QUALITY DISPERSION MODELLING OF WOOD SMOKE EMISSIONS IN RESIDENTIAL AREAS IN SWEDEN. Sweden 4.16 AIR QUALITY DISPERSION MODELLING OF WOOD SMOKE EMISSIONS IN RESIDENTIAL AREAS IN SWEDEN. Gunnar Omstedt 1, Christer Johansson 2 and Lars Gidhagen 1 1 Swedish Meteorological and Hydrological Institute,

More information

Canterbury City Council. Local Air Quality Management Detailed Assessment Report

Canterbury City Council. Local Air Quality Management Detailed Assessment Report Local Air Quality Management Ref: CS/AQ/AGGX0279 DOCUMENT INFORMATION AND CONTROL SHEET Client Canterbury City Council Military Road Canterbury CT1 1YW Project Manager Tel: Fax: Julie Oates 01227 862000

More information

3D-simulations of the wake vortex evolution What properties contrail modelers need to know? Simon Unterstraßer

3D-simulations of the wake vortex evolution What properties contrail modelers need to know? Simon Unterstraßer 3D-simulations of the wake vortex evolution What properties contrail modelers need to know? Simon Unterstraßer Folie 1 Contrail modeling during the vortex phase Dynamical and microphysical processes are

More information

17th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes 9-12 May 2016, Budapest, Hungary

17th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes 9-12 May 2016, Budapest, Hungary 17th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes 9-12 May 2016, Budapest, Hungary EDMS MODEL VERIFICATION CONSIDERING REMARKABLE CHANGES IN

More information

Modeling Requirements for Air Permits

Modeling Requirements for Air Permits Modeling Requirements for Air Permits A.J. Jablonowski, P.E. Elizabeth Hendrick, C.C.M. Epsilon Associates, Inc. 3 Clock Tower Place, Suite 250 Maynard, Massachusetts 01754 IDEA's 102nd Annual Conference

More information

AERMOD Modeling of SO2 Impacts of the Luminant Monticello Coal Plant

AERMOD Modeling of SO2 Impacts of the Luminant Monticello Coal Plant AERMOD Modeling of SO2 Impacts of the Luminant Monticello Coal Plant Final Report June 2011 Prepared for Sierra Club San Francisco, California Prepared by Mr. Khanh T. Tran Principal AMI Environmental

More information

39th International Physics Olympiad - Hanoi - Vietnam - 2008. Theoretical Problem No. 3

39th International Physics Olympiad - Hanoi - Vietnam - 2008. Theoretical Problem No. 3 CHANGE OF AIR TEMPERATURE WITH ALTITUDE, ATMOSPHERIC STABILITY AND AIR POLLUTION Vertical motion of air governs many atmospheric processes, such as the formation of clouds and precipitation and the dispersal

More information

Air Quality Management London City Airport

Air Quality Management London City Airport Air Quality Management London City Airport Stephen Moorcroft Air Quality Consultants Ltd London City Airport Consultative Committee 13/04/10 Overview Relevant Pollutants (at airports) Pollutant emissions

More information

Horizontal Convective Rolls METR 4433, Mesoscale Meteorology Spring 2006

Horizontal Convective Rolls METR 4433, Mesoscale Meteorology Spring 2006 Horizontal Convective Rolls METR 4433, Mesoscale Meteorology Spring 2006 1 Definition and Characteristics: Counter-rotating horizontal vortices within the planetary boundary-layer that arise from a combination

More information

C E R C. Cambridge Environmental Research Consultants. Emissions Reduction Scenarios for the City of London Corporation. Final report.

C E R C. Cambridge Environmental Research Consultants. Emissions Reduction Scenarios for the City of London Corporation. Final report. Cambridge Environmental Research Consultants Emissions Reduction Scenarios for the City of London Corporation Final report Prepared for City of London Corporation 15 th June 2011 C E R C Report Information

More information

Philip G. Gill *, Debi J. Turp and Melanie Madgin UK Met Office, Exeter, Devon, UK

Philip G. Gill *, Debi J. Turp and Melanie Madgin UK Met Office, Exeter, Devon, UK P2.18 WIND NOWCASTING TO SUPPORT CONTINUOUS DESCENT APPROACHES Philip G. Gill *, Debi J. Turp and Melanie Madgin UK Met Office, Exeter, Devon, UK 1. INTRODUCTION The UK Met Office has been providing predictions

More information

Municipal Air Quality Information System "A la Carte"

Municipal Air Quality Information System A la Carte A MAPS Environmental Inc. 32 Bon Echo Crescent Ottawa, Ontario Canada K2M 2W6 Tel: (613) 270 9378 Fax: (613) 599 7451 info@amapsenv.com Municipal Air Quality Information System "A la Carte" March 2011

More information

Remote Sensing of Commercial Aircraft Emissions

Remote Sensing of Commercial Aircraft Emissions Remote Sensing of Commercial Aircraft Emissions Peter J. Popp & Donald H. Stedman Department of Chemistry and Biochemistry, University of Denver Denver, CO, 80208 (303) 871-2580 (303) 871-2587 fax Introduction

More information

Kuliah Pencemaran Udara MODEL GAUSS UNTUK DISPERSI PENCEMAR UDARA

Kuliah Pencemaran Udara MODEL GAUSS UNTUK DISPERSI PENCEMAR UDARA Kuliah Pencemaran Udara MODEL GAUSS UNTUK DISPERSI PENCEMAR UDARA ADVANTAGES OF EMPLOYING ATMOSPHERIC DISPERSION Dispersion of the waste gases leads to the dilution of the pollutants in the atmosphere.

More information

DEVELOPMENT OF LOCAL-SCALE AND SUBGRID-SCALE MODELS IN POLYPHEMUS. Irène Korsakissok, Vivien Mallet, Bruno Sportisse. 1.2 Plume reflections

DEVELOPMENT OF LOCAL-SCALE AND SUBGRID-SCALE MODELS IN POLYPHEMUS. Irène Korsakissok, Vivien Mallet, Bruno Sportisse. 1.2 Plume reflections DEVELOPMENT OF LOCAL-SCALE AND SUBGRID-SCALE MODELS IN POLYPHEMUS Irène Korsakissok, Vivien Mallet, Bruno Sportisse CEREA, Joint Research Laboratory, École Nationale des Ponts et Chaussées / EDF R&D, France

More information

UK CASE STUDIES Air Pollution Impact of Traffic (London) and Point Sources (S E England)

UK CASE STUDIES Air Pollution Impact of Traffic (London) and Point Sources (S E England) UK CASE STUDIES Air Pollution Impact of Traffic (London) and Point Sources (S E England) Ranjeet S Sokhi, Ye Yu, Nutthida Kitwiroon, Hongjun Mao University of Hertfordshire Bernard Fisher UK Environment

More information

A COMPARISON OF THE AERMOD MODEL WITH THE POLISH REGULATORY DISPERSION MODEL

A COMPARISON OF THE AERMOD MODEL WITH THE POLISH REGULATORY DISPERSION MODEL Proceedings of the 1 th Int. Conf. on Harmonisation within A COMPARISON OF THE AERMOD MODEL WITH THE POLISH REGULATORY DISPERSION MODEL Joanna Cieślińska 1 and Lech Łobocki 2 1 Institute for Environmental

More information

Abstract. Introduction

Abstract. Introduction EVALUATION OF THE USE OF THE BOX MODEL TO DETERMINE EMISSION FLUXES FROM AREA SOURCES AND THE CORRESPONDING MODELED CONCENTRATIONS USING THE INDUSTRIAL SOURCE COMPLEX L. Barry Goodrich, Calvin B. Parnell,

More information

Exploratory statistical analysis to determine causal factors affecting pollutant concentrations close to a motorway. Alex Bywaters.

Exploratory statistical analysis to determine causal factors affecting pollutant concentrations close to a motorway. Alex Bywaters. Managing air quality by Data Mining 010 Keith McCabe Highways & Transportation Atkins, Leeds, UK Paul J Taylor Highways & Transportation Atkins, London, UK Alex Bywaters Highways Agency Leeds, UK Dr David

More information

AN AIR QUALITY MANAGEMENT SYSTEM FOR CYPRUS

AN AIR QUALITY MANAGEMENT SYSTEM FOR CYPRUS Proceedings of the 11 th International Conference on Environmental Science and Technology Chania, Crete, Greece, 3 5 September 2009 AN AIR QUALITY MANAGEMENT SYSTEM FOR CYPRUS N. MOUSSIOPOULOS 1,*, I.

More information

SIMULATION OF WINTERTIME HIGH OZONE CONCENTRATIONS IN SOUTHWESTERN WYOMING

SIMULATION OF WINTERTIME HIGH OZONE CONCENTRATIONS IN SOUTHWESTERN WYOMING SIMULATION OF WINTERTIME HIGH OZONE CONCENTRATIONS IN SOUTHWESTERN WYOMING Ralph E. Morris*, Sue Kemball-Cook, Bonyoung Koo, Till Stoeckenius and Greg Yarwood ENVIRON International Corporation, Novato,

More information

Comparison of Upper Air Mixing Height Estimation Methods for Urban Air Pollution Modeling

Comparison of Upper Air Mixing Height Estimation Methods for Urban Air Pollution Modeling Comparison of Upper Air Mixing Height Estimation Methods for Urban Afsana Khandokar, Abdullah Mofarrah 1 and Tahir Husain 2 1 Graduate student, Faculty of Engineering and Applied Science, Memorial University,

More information

MOGREPS status and activities

MOGREPS status and activities MOGREPS status and activities by Warren Tennant with contributions from Rob Neal, Sarah Beare, Neill Bowler & Richard Swinbank Crown copyright Met Office 32 nd EWGLAM and 17 th SRNWP meetings 1 Contents

More information

Air pollution modelling with turbulence data estimated from conventional meteorological parameters in an urban tropical region

Air pollution modelling with turbulence data estimated from conventional meteorological parameters in an urban tropical region Air pollution modelling with turbulence data estimated from conventional meteorological parameters in an urban tropical region J. L6pez1 & A. Salcido2 I Gerencia de Ciencias del Ambiente, Instituto Mexicano

More information

Air Quality and Land Use Planning SG: Technical Guide. Dundee City Council

Air Quality and Land Use Planning SG: Technical Guide. Dundee City Council Air Quality and Land Use Planning SG: Technical Guide. Dundee City Council i Table of contents 1 Introduction... 1 1.1 Purpose of this technical guidance... 1 1.2 National and local policy background...

More information

1.24 APPLICATION AND DEVELOPMENT OF THE OFIS MODEL WITHIN THE FRAMEWORK OF CITYDELTA

1.24 APPLICATION AND DEVELOPMENT OF THE OFIS MODEL WITHIN THE FRAMEWORK OF CITYDELTA 1.24 APPLICATION AND DEVELOPMENT OF THE MODEL WITHIN THE FRAMEWORK OF CITYDELTA Nicolas Moussiopoulos and Ioannis Douros Laboratory of Heat Transfer and Environmental Engineering, Aristotle University

More information

The Development of an Air Quality Modelling and Forecasting System at SAWS

The Development of an Air Quality Modelling and Forecasting System at SAWS The Development of an Air Quality Modelling and Forecasting System at SAWS Bheki Sibiya Outline Of Presentation Introduction and background info. SAWS goal Air Quality Modelling and Forecasting unit -

More information

Turbulence: The manifestation of eddies and their role in conservation laws

Turbulence: The manifestation of eddies and their role in conservation laws Turbulence: The manifestation of eddies and their role in conservation laws George E. Hrabovsky MAST Presentation Given to the Chaos and Complex Systems Seminar University of Wisconsin - Madison 26 February,

More information

AIR POLLUTION CONTROL ENGINEERING

AIR POLLUTION CONTROL ENGINEERING AIR POLLUTION CONTROL ENGINEERING Noel de Nevers University of Utah McGraw-Hill, Inc. New York St. Louis San Francisco Auckland Bogota Caracas Lisbon London Madrid Mexico City Milan Montreal New Delhi

More information

TAG Farnborough Airport TAG Farnborough Airport

TAG Farnborough Airport TAG Farnborough Airport TAG Farnborough Airport TAG Farnborough Airport TAG Farnborough Airport Today TAG Farnborough Airport Today The Aviator Hotel Market Position Highest market share of business aviation air traffic

More information

Cumulus clouds. In the thermodynamic section, we examined the equation for vertical acceleration: [1]

Cumulus clouds. In the thermodynamic section, we examined the equation for vertical acceleration: [1] Form under conditions of buoyant instability, usually surface driven Different forms: fair weather, trade cumulus, congestus, cumulonimbus Trade Cu, congestus and cumulonimbus produce precipitation in

More information

The Influence of Traffic Flow and Winds Factors on Particle Number Concentration (PNC) around an Urban Intersection

The Influence of Traffic Flow and Winds Factors on Particle Number Concentration (PNC) around an Urban Intersection Institute for Transport Studies FACULTY OF ENVIRONMENT The Influence of Traffic Flow and Winds Factors on Particle Number Concentration (PNC) around an Urban Intersection Noor.Z. Yahaya 1, J.E. Tate 2,

More information

Measuring Wake Vortices and Wind Shears in Real-Time with a Scanning Wind Doppler Lidar

Measuring Wake Vortices and Wind Shears in Real-Time with a Scanning Wind Doppler Lidar Measuring Wake Vortices and Wind Shears in Real-Time with a Scanning Wind Doppler Lidar Ludovic Thobois 1, Sophie Loaec 1, Jean-Pierre Cariou 1, Laurent Sauvage 1 1 LEOSPHERE, 76 Rue Monceau, 75008 Paris,

More information

Boundary Layer Meteorology

Boundary Layer Meteorology Boundary Layer Meteorology Goal: Knowledge about Planetary Boundary Layer Flow characteristic: Turbulence Theory: Scaling Ideal (theory) and real conditions Some applications to air pollution modelling

More information

Sodar Measurements to Reduce Shear Extrapolation Uncertainty

Sodar Measurements to Reduce Shear Extrapolation Uncertainty Sodar Measurements to Reduce Shear Extrapolation Uncertainty Kathleen E. Moore Integrated Environmental Data, LLC P.O. Box 217 Berne, NY 12023 Bruce H. Bailey AWS Truewind, LLC 463 New Karner Rd. Albany,

More information

Schedule IX Chimney Design Guide and Combustion of Fuels

Schedule IX Chimney Design Guide and Combustion of Fuels Schedule IX Chimney Design Guide and Combustion of Fuels PART A - CHIMNEY HEIGHT REQUIREMENTS IXA-1 CHIMNEY HEIGHT REQUIREMENTS FOR DISCHARGE FROM THE EXTERNAL COMBUSTION OF NATURAL OR LIQUEFIED PETROLEUM

More information

AIR QUALITY DISPERSION MODELING OF OUTDOOR WOOD BOILERS

AIR QUALITY DISPERSION MODELING OF OUTDOOR WOOD BOILERS AIR QUALITY DISPERSION MODELING OF OUTDOOR WOOD BOILERS Prepared for: Central Boiler 20502 160 th Street Greenbush, MN 56726 Prepared by: Tech Environmental, Inc. 1601 Trapelo Road, Suite 327 Waltham,

More information

Supporting document to NORSOK Standard C-004, Edition 2, May 2013, Section 5.4 Hot air flow

Supporting document to NORSOK Standard C-004, Edition 2, May 2013, Section 5.4 Hot air flow 1 of 9 Supporting document to NORSOK Standard C-004, Edition 2, May 2013, Section 5.4 Hot air flow A method utilizing Computational Fluid Dynamics (CFD) codes for determination of acceptable risk level

More information

AERMOD Sensitivity Evaluation. NYSDEC EPA/State/Local Modelers Workshop Virginia Beach, May 15-17, 2007

AERMOD Sensitivity Evaluation. NYSDEC EPA/State/Local Modelers Workshop Virginia Beach, May 15-17, 2007 AERMOD Sensitivity Evaluation NYSDEC EPA/State/Local Modelers Workshop Virginia Beach, May 5-7, 2007 AERMOD Sensitivity Tests. Area versus volume source representation 2. Urban option effects of population

More information

Turbulent Flows. Stephen B. Pope CAMBRIDGE UNIVERSITY PRESS. Cornell University

Turbulent Flows. Stephen B. Pope CAMBRIDGE UNIVERSITY PRESS. Cornell University Turbulent Flows Stephen B. Pope Cornell University CAMBRIDGE UNIVERSITY PRESS Contents List of tables Preface Nomenclature PART ONE: FUNDAMENTALS 1 Introduction 1.1 The nature of turbulent flows 1.2 The

More information

CFD Grows Up! Martin W. Liddament Ventilation, Energy and Environmental Technology (VEETECH Ltd) What is Computational Fluid Dynamics?

CFD Grows Up! Martin W. Liddament Ventilation, Energy and Environmental Technology (VEETECH Ltd) What is Computational Fluid Dynamics? CIBSE/ASHRAE Meeting CFD Grows Up! Martin W. Liddament Ventilation, Energy and Environmental Technology (VEETECH Ltd) 10 th December 2003 What is Computational Fluid Dynamics? CFD is a numerical means

More information

6.1 BACKGROUND AIR POLLUTION SOURCES

6.1 BACKGROUND AIR POLLUTION SOURCES 6.0 INTRODUCTION Climatewise India is divided into four climatic zones, namely Alpine, Subtropical, Tropical and Arid zones and presently, some of the studies which have been carried as part of dispersion

More information

Emission Rate Model and Predictions of Air Pollution in Kuwait

Emission Rate Model and Predictions of Air Pollution in Kuwait Emission Rate Model and Predictions of Air Pollution in Kuwait AMIR ALHADDAD, HISHAM ETTOUNEY, SAMIYA SAQER Chemical Engineering Department Kuwait University P.O.Box 5969 Safat 13060 KUWAIT ettouney@hotmail.com

More information

6.0 JET ENGINE WAKE AND NOISE DATA. 6.2 Airport and Community Noise

6.0 JET ENGINE WAKE AND NOISE DATA. 6.2 Airport and Community Noise 6.0 JET ENGINE WAKE AND NOISE DATA 6.1 Jet Engine Exhaust Velocities and Temperatures 6.2 Airport and Community Noise DECEMBER 2002 139 6.0 JET ENGINE WAKE AND NOISE DATA 6.1 Jet Engine Exhaust Velocities

More information

PREDICTION AND STUDY OF POLLUTANT DISPERSION IN A STREET- CANYON IN LONDON USING COMPUTATIONAL FLUID DYNAMICS TECHNIQUES

PREDICTION AND STUDY OF POLLUTANT DISPERSION IN A STREET- CANYON IN LONDON USING COMPUTATIONAL FLUID DYNAMICS TECHNIQUES Global NEST Journal, Vol 11, No 4, pp 434-439, 9 Copyright 9 Global NEST Printed in Greece. All rights reserved PREDICTION AND STUD OF POLLUTANT DISPERSION IN A STREET- CANON IN LONDON USING COMPUTATIONAL

More information

APPENDIX 10A: AIR QUALITY AND CLIMATIC FACTORS TECHNICAL DATA

APPENDIX 10A: AIR QUALITY AND CLIMATIC FACTORS TECHNICAL DATA 10a appendix APPENDIX 10A: AIR QUALITY AND CLIMATIC FACTORS TECHNICAL DATA AMBIENT AIR QUALITY STANDARDS In order to reduce the risk to health from poor air quality, national and European statutory bodies

More information

Air quality dispersion modelling of wood smoke emissions in residential areas in Sweden

Air quality dispersion modelling of wood smoke emissions in residential areas in Sweden Air quality dispersion modelling of wood smoke emissions in residential areas in Sweden Gunnar Omstedt 1, Christer Johansson 2 and Lars Gidhagen 1 1 Swedish Meteorological and Hydrological Institute, Norrköping,

More information

MODELLING URBAN TRAFFIC AIR POLLUTION DISPERSION

MODELLING URBAN TRAFFIC AIR POLLUTION DISPERSION MODELLING URBAN TRAFFIC AIR POLLUTION DISPERSION G. Wang a, F. H. M. van den Bosch a, M. Kuffer a, * a Dept. of Urban and Regional Planning and Geo-information Management, International Institute for Geo-Information

More information

Next Generation Urban Air Quality Monitoring Technologies. Jim Mills Air Monitors / Envirologger Ltd United Kingdom

Next Generation Urban Air Quality Monitoring Technologies. Jim Mills Air Monitors / Envirologger Ltd United Kingdom Next Generation Urban Air Quality Monitoring Technologies Jim Mills Air Monitors / Envirologger Ltd United Kingdom London Air Pollution in Context 2004 2010 Compliance based on 2008/50/EC CAFE Directives

More information

SIMULATIONS OF THE DISPERSION FROM A WASTE INCINERATOR IN THE TURIN AREA IN THREE DIFFERENT METEOROLOGICAL SCENARIOS

SIMULATIONS OF THE DISPERSION FROM A WASTE INCINERATOR IN THE TURIN AREA IN THREE DIFFERENT METEOROLOGICAL SCENARIOS Proceedings of the 1 th Int. Conf. on Harmonisation within SIMULATIONS OF THE DISPERSION FROM A WASTE INCINERATOR IN THE TURIN AREA IN THREE DIFFERENT METEOROLOGICAL SCENARIOS S. Trini Castelli 1, D. Anfossi

More information

INTRODUCTION TO ATMOSPHERIC DISPERSION MODELING

INTRODUCTION TO ATMOSPHERIC DISPERSION MODELING INTRODUCTION TO ATMOSPHERIC DISPERSION MODELING NOTE - This chapter is intended for persons with a sound background in science or engineering but little or no background in meteorology. Persons familiar

More information

Meteorological factors influencing the occurrence of air pollution episodes involving chimney plumes

Meteorological factors influencing the occurrence of air pollution episodes involving chimney plumes Meteorol. Appl. 9, 199 210 (2002) DOI:10.1017/S1350482702002050 Meteorological factors influencing the occurrence of air pollution episodes involving chimney plumes Bernard Fisher, Environment Agency,

More information

While two forces act on it, a particle is to move at the constant velocity = (3.62 m/s) - (-3.16 m/s). One of the

While two forces act on it, a particle is to move at the constant velocity = (3.62 m/s) - (-3.16 m/s). One of the 1 of 7 10/14/2008 9:39 AM Forces & Newton's Laws Start Date: 14 Oct 2008 at 09:00 AM Due Date: 20 Oct 2008 at 11:00 PM Student Access after Due Date: Graded: Yes Yes. View Only Chapter 5, Problem 6 While

More information

The Chemical Mass Balance Method

The Chemical Mass Balance Method The Chemical Mass Balance Method The relationship between particulate emissions and ambient fallout concentrations measured at a receptor (pollutant sampler) site distant from an emitting source is a complicated

More information

Environmental Air Pollution Prof. Mukesh Sharma Department of Civil Engineering Indian Institute of Technology, Kanpur

Environmental Air Pollution Prof. Mukesh Sharma Department of Civil Engineering Indian Institute of Technology, Kanpur Environmental Air Pollution Prof. Mukesh Sharma Department of Civil Engineering Indian Institute of Technology, Kanpur Lecture No. 23 Examples for Practice Dispersion Modeling Today, we will do some examples

More information

Annual Stratus Cloud Amount. Klein and Hartmann (1993), from surface observations

Annual Stratus Cloud Amount. Klein and Hartmann (1993), from surface observations Annual Stratus Cloud Amount 20 20 40 20 40 40 60 20 40 40 20 20 20 20 20 20 20 20 40 40 20 40 20 20 40 40 20 Klein and Hartmann (1993), from surface observations Klein SST increases 1.8 K/day for both

More information

Numerical Analysis of Turbulent Diffusion Combustion in Porous Media

Numerical Analysis of Turbulent Diffusion Combustion in Porous Media 2012 American Transactions on Engineering & Applied Sciences American Transactions on Engineering & Applied Sciences http://tuengr.com/ateas, http://get.to/research Numerical Analysis of Turbulent Diffusion

More information

Detailed Assessment of Air Quality on the A420 in Warmley for South Gloucestershire Council

Detailed Assessment of Air Quality on the A420 in Warmley for South Gloucestershire Council Detailed Assessment of Air Quality on the A420 in Warmley for South Gloucestershire Council September 2014 Document Control Client South Gloucestershire Council Principal Contact Sally Radwell Job Number

More information

AQMAU. Air Quality Modelling and Assessment Unit

AQMAU. Air Quality Modelling and Assessment Unit AQMAU Air Quality Modelling and Assessment Unit Introduction 1. Who / What is AQMAU 2. Environment Agency Role in AQ Regulation 3. Technical Role in Environment Agency 4. Supporting EP Regulation Planning

More information

Ambient Air Pollutant Background Concentrations: Development & Use. aq-ppt5-02

Ambient Air Pollutant Background Concentrations: Development & Use. aq-ppt5-02 Ambient Air Pollutant Background Concentrations: Development & Use aq-ppt5-02 Overview Definition of a background concentration Tiered background approach Example #1- Single Monitor near Facility Example

More information

MAXIMUM AIR POLLUTION SIMULATION USING GENETIC ALGORITHM

MAXIMUM AIR POLLUTION SIMULATION USING GENETIC ALGORITHM 4th International Congress of Croatian Society of Mechanics September, 18-20, 2003 Bizovac, Croatia MAXIMUM AIR POLLUTION SIMULATION USING GENETIC ALGORITHM Z. Mrša, and Z. Čarija Keywords: air pollution

More information

AIR DISPERSION MODELLING GUIDELINE FOR ONTARIO

AIR DISPERSION MODELLING GUIDELINE FOR ONTARIO March 2009 AIR DISPERSION MODELLING GUIDELINE FOR ONTARIO Version 2.0 Guidance for Demonstrating Compliance with The Air Dispersion Modelling Requirements set out in Ontario Regulation 419/05 Air Pollution

More information

Dispersion modeling of particulate matter concentration reductions due to alternative aviation fuels

Dispersion modeling of particulate matter concentration reductions due to alternative aviation fuels Dispersion modeling of particulate matter concentration reductions due to alternative aviation fuels James Keehn and Donald Hagen Missouri University of Science and Technology World Weather Open Science

More information

Standard Operating Procedure for Complying with CO TAQA Requirements

Standard Operating Procedure for Complying with CO TAQA Requirements Standard Operating Procedure for Complying with CO TAQA Requirements Approval Authority: Air Quality & Noise Work Leader, Jackie Ploch Effective Date: 09/01/2015 Review Authority: Air Specialist, Tim Wood

More information

Lecture 15 - Discrete Phase Modeling. Applied Computational Fluid Dynamics

Lecture 15 - Discrete Phase Modeling. Applied Computational Fluid Dynamics Lecture 15 - Discrete Phase Modeling Applied Computational Fluid Dynamics Instructor: André Bakker http://www.bakker.org André Bakker (2002-2006) Fluent Inc. (2002) 1 Discrete phase modeling Particle tracking.

More information

Attachment A. Wind turbines Wake Turbulence and Separation

Attachment A. Wind turbines Wake Turbulence and Separation Introduction This paper is a summary of research extracted and credited to the references included at the end of this paper. The summary is the opinion of the author Ralph Holland, B Sc., Dip Ed., Dip

More information

NORDIC Database, Available Validation Data on PM10/PM2.5

NORDIC Database, Available Validation Data on PM10/PM2.5 NORDIC Database, Available Validation Data on PM10/PM2.5 Validation exercise within an EU OSCAR project: CAR-FMI OSPM (DMU) EPISODE (NILU) 6 other European air quality models YTV and FMI air quality monitoring

More information

Chapter 7 Forces and Force Balances. Forces that Affect Atmospheric Motion

Chapter 7 Forces and Force Balances. Forces that Affect Atmospheric Motion Chapter 7 Forces and Force Balances Forces that Affect Atmospheric Motion Why does air move and what controls the speed and direction of this movement? There are four forces that control the movement of

More information

Physics of the Atmosphere I

Physics of the Atmosphere I Physics of the Atmosphere I WS 2008/09 Ulrich Platt Institut f. Umweltphysik R. 424 Ulrich.Platt@iup.uni-heidelberg.de heidelberg.de Last week The conservation of mass implies the continuity equation:

More information

AerE 243L: Incompressible Aerodynamics

AerE 243L: Incompressible Aerodynamics AerE 243L: Incompressible Aerodynamics AIM : Qualitative and quantitative understanding of aerodynamic characteristics of bodies. Computational Fluid Dynamics (CFD) Theory class (AFD) integrates with experimental

More information

Airflow modeling analysis of the Athens airport train station

Airflow modeling analysis of the Athens airport train station Advances in Fluid Mechanics VI 479 Airflow modeling analysis of the Athens airport train station M. Gr. Vrachopoulos 1, F.K. Dimokritou 2, A.E. Filios 3 & A. Fatsis 1 1 Technological University of Chalkis,

More information

1. Mean Boundary Layer Characteristics

1. Mean Boundary Layer Characteristics 1. Mean Boundary Layer Characteristics The study of the boundary layer is on the small scale of meteorological motions. When we study turbulence, or scales roughly smaller than 3km, we are within the microscale,

More information

Balance of the Air Pollutant Mass Fluxes of a City: First Results of Vertical Soundings within the TFS-EVA Project in Augsburg 1998

Balance of the Air Pollutant Mass Fluxes of a City: First Results of Vertical Soundings within the TFS-EVA Project in Augsburg 1998 Transactions on Ecology and the Environment vol 28, 1999 WIT Press, www.witpress.com, ISSN 17433541 Balance of the Air Pollutant Mass Fluxes of a City: First Results of Vertical Soundings within the TFSEVA

More information

4. Dispersion Model 4.1 Monitoring program and modeling period 4.2 Model selection

4. Dispersion Model 4.1 Monitoring program and modeling period 4.2 Model selection 4. Dispersion Model The dispersion modeling and the emissions inventory data used in the model comprise the core framework of the PATA study. Although the monitoring and model-to-monitor comparison (Section

More information

9.9 Prove that the definition of covariance reduces to the definition of variance for the covariance between any variable and itself.

9.9 Prove that the definition of covariance reduces to the definition of variance for the covariance between any variable and itself. Chapter 9 9.8 Estimate the temperature variance for the velocity trace at the bottom of Fig. 9.6. If turbulent fluctuations are approximately normally distributed, then about 68% of the T 0 values are

More information

The concentrations of chemical species in the atmosphere are controlled by four types of processes:

The concentrations of chemical species in the atmosphere are controlled by four types of processes: 22 CHAPTER 3. SIMPLE MODELS The concentrations of chemical species in the atmosphere are controlled by four types of processes: Emissions. Chemical species are emitted to the atmosphere by a variety of

More information

Advances in city and European emissions of particulate matter

Advances in city and European emissions of particulate matter Advances in city and European emissions of particulate matter Zissis Samaras, Aristotle University Hugo Denier van der Gon, TNO On behalf of Transphorm SP1 Partners Transport emission sources Road Airports

More information

Gatwick Airport Limited Gatwick Airport Air Quality Assessment of Operation with a Second Runway in 2025

Gatwick Airport Limited Gatwick Airport Air Quality Assessment of Operation with a Second Runway in 2025 Limited Air Quality Assessment of Operation with a Second Runway in 2025 AQ/GAL-OP/01 Issue 26 May 2015 This report takes into account the particular instructions and requirements of our client. It is

More information

Validation of AirGIS - a GIS-based Air Pollution and Human Exposure Modelling

Validation of AirGIS - a GIS-based Air Pollution and Human Exposure Modelling Validation of AirGIS - a GIS-based Air Pollution and Human Exposure Modelling Traffic Traffic characteristics System Emissions Diurnal variation in traffic (TRF) GIS Addresses ID Exposure window GIS Buildings

More information

June 21, 2006 WRF/MM5 Users Workshop Off-line Air Quality Coupling System: WRF-CMAQ Simulation of Houston High Ozone Event

June 21, 2006 WRF/MM5 Users Workshop Off-line Air Quality Coupling System: WRF-CMAQ Simulation of Houston High Ozone Event June 21, 2006 WRF/MM5 Users Workshop Off-line Air Quality Coupling System: WRF-CMAQ Simulation of Houston High Ozone Event Fong Ngan, Daewon Byun and Soontae Kim IMAQS, University of Houston, Houston,

More information

Analysis of Vortex Shedding Mechanism through PIV Measurement of Flow past a Rotating Circular Cylinder

Analysis of Vortex Shedding Mechanism through PIV Measurement of Flow past a Rotating Circular Cylinder Analysis of Vortex Shedding Mechanism through PIV Measurement of Flow past a Rotating Circular Cylinder Linh Duong *, Siao Chung Luo, Yong Tian Chew Department of Mechanical Engineering, National University

More information

NUMERICAL ANALYSIS OF THE EFFECTS OF WIND ON BUILDING STRUCTURES

NUMERICAL ANALYSIS OF THE EFFECTS OF WIND ON BUILDING STRUCTURES Vol. XX 2012 No. 4 28 34 J. ŠIMIČEK O. HUBOVÁ NUMERICAL ANALYSIS OF THE EFFECTS OF WIND ON BUILDING STRUCTURES Jozef ŠIMIČEK email: jozef.simicek@stuba.sk Research field: Statics and Dynamics Fluids mechanics

More information

Appendix 5.2.2B Airstrip Noise Impact Assessment

Appendix 5.2.2B Airstrip Noise Impact Assessment Appendix 5.2.2B Airstrip Noise Impact Assessment Section 5 TABLE OF CONTENTS 1.0 INTRODUCTION... 1 2.0 SOUND EMISSIONS... 2 3.0 SOUND EXPOSURE LEVEL... 3 4.0 NOISE EXPOSURE FORECAST... 3 5.0 DISCUSSION

More information