1 / 18

Source apportionment of PM in the PCM model

John Stedman 23 April 2010. Source apportionment of PM in the PCM model. Presentation Structure. Pollution Climate Mapping (PCM) Overview of the project Overview of the model PM 10 and PM 2.5 models for 2008 Introduction Maps of some of the components Verification plots

evette
Download Presentation

Source apportionment of PM in the PCM model

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

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

  2. Presentation Structure Pollution Climate Mapping (PCM) Overview of the project Overview of the model PM10 and PM2.5 models for 2008 Introduction Maps of some of the components Verification plots Source apportionment at monitoring sites Source apportionment for population-weighted means

  3. Pollution Climate Mapping (PCM)‏ Project Manager: John Stedman • Policy Advice to Defra and the DAs • Brings together information from ambient measurements, emission inventories and models • Models • GIS-based PCM models • Ambient air quality directive reporting, Policy support, AQS reporting, AQS review, AQEG • Mapping current concentrations • Baseline & scenario based projections • Health impact assessment for scenarios • SO2, NOx, NO2, PM10, PM2.5 ,Pb, CO, benzene, ozone, BaP, As, Cd, Ni, (Hg)

  4. PCM GIS-based models • Maps built up from many layers • Regional (interpolated from rural measurements) • Point sources modelled using dispersion model • Area sources modelled using a dispersion kernel approach • Other pollutant specific layers • Roadside increment model • Calibrated using automatic monitoring data from the AURN • 1 km grid resolutions + urban major road links • Many similarities between ‘gaseous’ and ‘particle’ models, and some differences • Particle model (PM10, PM2.5, As, Cd, Ni, Pb) components such as re-suspension consistent with each other and other components are consistent with the gaseous models

  5. PCM GIS-based models: inputs (1) • Measurements • Rural measurements to define regional concentrations • SIA, Cl • National network measurements to calibrate models • AURN (FDMS) • Other measurements to verify models • AURN TEOM VCM, partisol • AEA Calibration Club • ERG • Emission inventories • 1 km x 1 km emission maps • Road link emissions • Emission projections • NAEI year to base year and NAEI year to projection year (e.g. 2015)

  6. PCM GIS-based models: inputs (2) • Met data • Area dispersion kernels • Point sources • Model results • HARM/ELMO for SOA • EMEP for SIA emission sensitivity coefficients for projection • VCM for PM10 • TRACK for regional primary PM • Land cover map • For re-suspension modelling

  7. PCM GIS-based models: outputs • GIS maps • Base year and projections • Background 1 km x 1 km • Roadside ~ 9000 urban road links • Background and roadside exceedance statistics • By zone • Population-weighted mean background concentration • For health impact assessment, CBA • Source apportionment • Policy development (MACC) • TEN • LAQM/DMRB

  8. PM10 and PM2.5 annual mean models for 2008 • Pragmatic approach including many different layers • Process based models as far as possible • Loosely based on ‘Pragmatic mass closure model’ • PM2.5 and PM2.5-10 for each component • Consistent models for PM10 and PM2.5

  9. PM10 and PM2.5 annual mean models for 2008 • Secondary inorganic aerosol • Interpolated from SO4, NO3 and NH4 measurements • Scaled for counter-ions and bound water, size fractions • Secondary organic aerosol • HARM/ELMO model results • Large point sources of primary particles • Explicitly modelled using ADMS • Small point sources of primary particles • Small points model using a dispersion kernels derived using ADMS • Regional primary particles • TRACK model using EMEP and NAEI emissions • Area sources of primary particles • Dispersion kernels derived using ADMS • Calibrated using AURN measurements

  10. PM10 and PM2.5 annual mean models for 2008 • Rural calcium rich dusts from soil resuspension • Resuspension model • Emission depends on land cover and hour-by-hour met • Urban calcium rich dusts • Surrogate spatial distribution based on population • Regional iron rich dusts • Assumed constant 1 µg m-3 PM10 • Iron rich dusts from vehicle related resuspension • Resuspension model • Emission depends on HGV flow on major roads and hour-by-hour met • Sea salt • Interpolated from Cl measurements • Scaled for • counter-ions • Residual • Assumed constant 1 µg m-3 PM10

  11. Maps of some of the components

  12. Maps of some of the components

  13. PM10 and PM2.5 in 2008 (g m-3)

  14. Verification plots

  15. Source apportionment at FDMS monitoring sites 2008

  16. Source apportionment at FDMS monitoring sites 2008

  17. Source apportionment at TEOM VCM and Partisol monitoring sites 2008

  18. Source apportionment for population-weighted means

More Related