Preparation of the guidelines for vehicle non-exhaust emission modelling of PM10 and PM2.5 in Latvia Aiga Kāla, Valts Vilnītis SIA Estonian, Latvian &

Slides:

Advertisements

Similar presentations

Summary of relevant information in the CAFE Position paper on PM Martin Meadows UNECE PMEG Berlin, 23 & 24 May 2005.

Advertisements

Directive 2008/50/EC of 21 May 2008 on ambient air quality and cleaner air for Europe These slides do not provide a complete description of the requirements.

Getting on the MOVES: Using Dynameq and the US EPA MOVES Model to Measure the Air Pollution Emissions TRPC – Smart Corridors Project Chris Breiland Fehr.

1 Session VII: Fugitive Dust Area Sources Paved and Unpaved Roads.

Model used in « Source Apportionment of Airborne Particulate Matter in the UK » [Stedman et al., Receptor modelling of PM 10 concentrations at a UK national.

1 st Chimere workshop March 2005Stortini,Bonafe,Deserti,Minguzzi,Jongen Operational implementation of NINFA in Northern Italy ARPA Servizio IdroMeteorologico.

EUROPEAN UNION INITIATIVES AND REQUIREMENTS : AIR QUALITY ASSESSMENT AS A POLICY MECHANISM Sonja Vidič Meteorological and Hydrological Service of Croatia.

Federal Department of the Environment, Transport, Energy and Communications DETEC Federal Office for the Environment FOEN Non-exhaust PM10 emission factors.

Source apportionment of PM in the ADMS model David Carruthers Workshop on Source Apportionment of Particulate Matter Imperial College London Friday, 23.

PM mapping in Scotland, 2007 Andrew Kent. What are we presenting today? 1) Context to the work 2) Modelling process 3) Model results 4) Future work possibilities.

ENAC-SSIE Laboratoire de Pollution de l'Air Bogotá air quality Colombia, 2003.

1 Source apportionment of PM in the PCM model John Stedman 23 April 2010.

Particle pollution is linked to adverse health effects ~350,000 premature deaths a year within the EU are related to exposure to particulate matter (PM)

Photograph of Boston Skyline taken at 10 a.m. on January 12, 2001 Photograph from CAMNET web site ( PM 2.5 concentration at this time.

Update of EEA´s Core Set Indicator th EIONET Workshop on Air Quality Bern, 30 th September 2014 Alberto González Ortiz Project Manager – AQ data.

fluidyn – PANAIR Fluidyn-PANAIR

10th EIONET Workshop on Air Quality Management and Assessment, Vilnius, October 2005 Air pollution at street level in European cities Nicolas Moussiopoulos,

Jenny Stocker, Christina Hood, David Carruthers, Martin Seaton, Kate Johnson, Jimmy Fung The Development and Evaluation of an Automated System for Nesting.

THE ADVANTAGES OF ROAD-SIDE AIR POLLUTION DATA FOR IDENTIFYING PRIORITY IN TRAFFIC MANAGEMENT AND URBAN HOTSPOT MONITORING Driejana 1 *, Harmein Rahman.

Air Quality Management Initiatives for Kuala Lumpur: A study of stakeholder roles, emission sources, and vulnerable populations Dr. Scott Kennedy Energy.

Joint Intersectoral Task Force on Environmental Indicators Geneva 5 – 7 November 2013 Transport and environment: newly proposed indicators Vladislav Bizek.

SOURCE APPORTIONMENT of PARTICULATE MATTER Imperial College 23 rd April 2010 APRIL:Air Pollution Research in London.

M+P – consulting engineers Müller-BBM group Acoustics Noise and vibration control Air quality Air Quality alongside motorways Air Quality alongside.

1 Fugitive Dust Estimation Methods & On Road Mobile Sources An MPO’s Perspective.

Air quality and health impact assessment AQ information at the regional scale, urban background scale and street scale past, present and future air quality.

” Particulates „ Characterisation of Exhaust Particulate Emissions from Road Vehicles Key Action KA2:Sustainable Mobility and Intermodality Task 2.2:Infrastructures.

Harikishan Perugu, Ph.D. Heng Wei, Ph.D. PE

Bernd Heits AQ-Workshop Bucharest, July 2008 Planning of ambient air quality measurements General rules The guideline is an application aid to.

Low-Wind/High Particulate Matter Episodes in the Calexico/Mexicali Region 1 The University of Utah 2 Universidad Autónoma de Baja California 3 San Diego.

Science Investigation Discussion of Results to Date & Future Work Red Deer Particulate Matter Information Session Maxwell Mazur

Latvian Environmental, Geology and Meteorology agency Future development scenarios for traffic system and air pollution in Riga city Iveta Steinberga La.

Air Dispersion Modeling City of Albuquerque Environmental Health Department Air Quality Program Director: Mary Lou Leonard.

Air Quality & Traffic August 25, 2015.

P. Otorepec, M. Gregorič IVZ RS Use of rutinely collected air pollution and health data on local level for simple evaluation of health impact.

Refinement and evaluation of the suspension emission model Mari Kauhaniemi Research Scientist Finnish meteorological Institute, Air Quality, Dispersion.

New Directive 2008/50/EC on ambient air quality and cleaner air for Europe Aiga Kāla, Valts Vilnītis SIA Estonian, Latvian & Lithuanian Environment February.

| Folie 1 Assessment of Representativeness of Air Quality Monitoring Stations Geneva, Wolfgang Spangl.

Icfi.com April 30, 2009 icfi.com © 2006 ICF International. All rights reserved. AIR TOXICS IN MOBILE COUNTY, ALABAMA: A MONITORING AND MODELING STUDY WEBINAR:

Improving an Emissions Inventory for Bogotá, Colombia via a Top-Down Approach Robert Nedbor-Gross 1, Barron H. Henderson. 1, Jorge E. Pachon. 2, Maria.

Statistical and optimized results concerning the mobile measurements of fine and coarse emission factors by the Sniffer-system Jari Härkönen Senior Researcher.

Transboundary Air Pollution Plan of Islamic Republic of Iran

Environment 1 The current work on Air Quality Indicators Best needed “ Population exposure” vs. Best available “Population weighted concentrations” Ute.

Evaluation of concentrations of air pollutants and depositions of HMs over the EECCA and SEE regions Ilia Ilyin, EMEP/MSC-E EMEP/MSC-E TFHM, May 14-16,

TNO Environment, Energy and Process Innovation Menno Keuken Impact of speed control on urban air quality (Rotterdam) Session 2: Mexico Workshop.

21-22 March 2005 LMD, Palaiseau, France CHIMERE workshop Air quality assessment for Portugal A. Monteiro, C. Borrego, A.I. Miranda, R. Vautard Universidade.

POMI kick-off meeting 7 March, 2008 Collaborative research project in support to the reduction of atmospheric pollution in REGIONE LOMBARDIA ( )

Senate department for urban development Unit IX D: air pollution and noise control, M. Lutz Integrating particulate matter Integrating particulate matter:

AIR QUALITY IN SLOVENIA Anton Planinšek Environmental Agency of the Republic of Slovenia.

Jericho Project Air Quality Assessment. TOPICS METHODOLOGY EMISSION SOURCES RESULTS AND ASSESSMENT MITIGATION AND MONITORING CONCLUSION.

1 Emission data needs for assessments and international reporting Joint UNECE and EIONET workshop on emission inventories and projections 9-11 May 2001,

Control by existing protocols and current work under the Convention Richard Ballaman Chairman of WGSR Swiss Agency for the Environment, Forests and Landscape.

OSCAR Optimised Expert System for Conducting Environmental Assessment of Urban Road Traffic (OSCAR) ( )

Air pollution in Stuttgart ? NO 2 O3O3 PM 10. Stuttgart.

NORTRIP Kick off: NILU contribution and discussion Bruce Denby.

Renewal, Modernization and Optimization of Air-quality Monitoring in Lithuania Geneva, JUOZAS MOLIS Head of Automatic Measurement Systems Department.

Development and evaluation of the suspension emission model Mari Kauhaniemi Research Scientist Finnish meteorological Institute, Air Quality, Dispersion.

Proposed Research Plan Fiscal Year Today’s Proposed Action Approve Fiscal Year Research Plan Allocate $6 million in four research.

Evaluation of pollution levels in urban areas of selected EMEP countries Alexey Gusev, Victor Shatalov Meteorological Synthesizing Centre - East.

Imperial County 2013 State Implementation Plan for the Hour PM2.5 Moderate Non-attainment Area December 2, 20141, 2014.

SHERPA for e-reporting

Exposure to Air Pollution James Tate and Paul Seakins

Air Monitoring Trends in New Jersey

CAFE Steering Group November 2005

Alexey Gusev, Victor Shatalov, Olga Rozovskaya, Nadejda Vulyh

Assessment of Atmospheric PM in the Slovak Republic

TFMM PM Assessment Report

Linking the meteorological conditions to air pollution in Italy

EMEP case studies on HMs: State of the art

JDS International seminar 2018

Iakovos Barmpadimos, André Prévôt, Johannes Keller, Christoph Hüglin

Presentation transcript:

Preparation of the guidelines for vehicle non-exhaust emission modelling of PM10 and PM2.5 in Latvia Aiga Kāla, Valts Vilnītis SIA Estonian, Latvian & Lithuanian Environment February 10, 2009

Main tasks of the project Work programme: –field work, –evaluation and modelling Results of the project Outline

The project Started in 2007 In line with new requirements of CAFE directive on exceedances attributable to winter-sanding or - salting of roads Co-financed by Latvian Environmental Protection Fund, Latvian Environment, Geology, and Meteorology Agency and ELLE

Main tasks of the project To indentify and compare the existing emission factors attributable to vehicle non-exhaust emissions To perform the field measurements To compare dispersion modelling results to the monitored values To prepare guidelines

PM contributions to an urban agglomeration* * Source: Marcus Pesch, Source apportionment of PM

Method for estimating resuspension Assumptions: –PM 2.5 is solely attributable to vehicular exhaust sources –Coarse fraction PM 2.5–10 – to non-exhaust sources E TOTAL = E TYRE + E BRAKE + E RESUSP E TOTAL - the total non-exhaust PM emission, E BRAKE - the PM emission due to brake ware, E TYRE - the PM emission due to tyre ware, E RESUSP - the PM emission corresponding to resuspension

Field work PM 10 and PM 2.5 measurements in the two measurement sites (GRIMM-EDM107): –traffic station; –urban background. Continuous traffic counts (RTMS model K3)

Measurement sites

Monthly average concentrations PM 2.5 and PM 10, µg/m 3

Daily traffic average

Hourly traffic average STL – Heavy duty vehicles, VTL – Light duty vehicles

Estimation of emission factor Based on measured roadside increments of PM10 and PM2.5 and traffic counts Contribution of abrasion sources (tyre, brake) – according to EMEP/CORINAIR Emission Inventory Guidebook (2007) Resuspension emission factor estimated using dispersion modelling (ADMS)

Non-exhaust PM emission factors/models EMEP/CORINAIR Emission Inventory Guidebook – 2007 RAINS ( Regional Air Pollution INformation and Simulation) CEPMEIP (Co-ordinated European Programme on Particulate Matter Emission Inventories, Projections and Guidance) MOBILE 6.2

Advantages of EMEP/CORINAIR methodology Emission factor depends on: –Vehicle speed, –Load correction factor (heavy-duty tracks), –Truck size. In all cases provide emission factor for PM 10 and PM 2.5

Emission factor for resuspension Vehicle categoryEmission factor, g/km Litgh-duty vehicle 0.9 Heavy-duty vehicle 2.7

Emission factors reported for other countries

Traffic monitoring sites Dispersion modelling for traffic monitoring sites

Average concentrations of PM 10 (μg/m 3 ) (without/with resuspension) Monitoring site Monitored value Modelled value, (ratio*) K.Valdemāra iela (0.58) (0.78) Brīvības iela (0.51) (0.78) S. Eizenšteina iela (0.53) (0.83) * Ratio of modelled to observed concentration

Source apportionment of PM10 results Brīvības streetValdemāra street

Further work Relationship of emission factor with meteorological factors (precipitation level, wind speed and direction) Source apportionment of urban background (62 – 77%): –Transboundary part, –Natural sources....