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

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Presentation on theme: "Preparation of the guidelines for vehicle non-exhaust emission modelling of PM10 and PM2.5 in Latvia Aiga Kāla, Valts Vilnītis SIA Estonian, Latvian &"— Presentation transcript:

1 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

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

3 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

4 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

5 PM contributions to an urban agglomeration* * Source: Marcus Pesch, 2008. Source apportionment of PM

6 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

7 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)

8 Measurement sites

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

10 Daily traffic average

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

12 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)

13 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

14 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

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

16 Emission factors reported for other countries

17 Traffic monitoring sites Dispersion modelling for traffic monitoring sites

18 Average concentrations of PM 10 (μg/m 3 ) (without/with resuspension) Monitoring site Monitored value Modelled value, (ratio*) K.Valdemāra iela45.02 26.21 (0.58) 34.96 (0.78) Brīvības iela52.55 26.56 (0.51) 41.14 (0.78) S. Eizenšteina iela32.4921.73 (0.53) 26.94 (0.83) * Ratio of modelled to observed concentration

19 Source apportionment of PM10 results Brīvības streetValdemāra street

20 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....

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