Tallinn 26 June 2018 SHERPA in the overall context Visualisation - PowerPoint PPT Presentation

SHERPA Tallinn 26 June 2018

SHERPA in the overall context Visualisation & Interpretation Aim : quantify the sectoral and/or spatial origins of pollution NH 4 SHERPA NH 3 Tagging approach CTM Incremental Mass transfer - SA Input (model, emissions, meteorology, city, resolution…)

Example: Stockholm PM2.5 Urban air quality Atlas, 2017. Based on SHERPA Segersson et al. 2017 : Health Impact of PM10, PM2.5 and Black Carbon Exposure Due to Different Source Sectors in Stockholm, Gothenburg and Umea, Sweden 3

Example: Stockholm SHERPA spatial variablity in source allocation Atlas location one cell south 4

Test case: Stockholm Atlas 1. Assumption 1: only primary emissions have a local impact 2. Assumption 2: LPS only have impacts 3. Visualization in terms of population exposure 5

Test case: Stockholm Visualization: population exposure Industry Residential Local vs. Regional Transport 6

SHERPA formulation, uncertainties and methodological approach Visualisation (average population exposure vs. local concentration) Aim : identify & quantify the sectoral and/or spatial origins of pollution Segersson et al. approach Gaussian high resolution modelling SHERPA Only primary emissions have a local impact • Incremental approach • CTM Treatment of point sources Input (model resolution , emissions , meteorology, city…)

SHERPA in the overall context Visualisation & Interpretation Aim : identify & quantify the sectoral and/or spatial origins of pollution NH 4 SHERPA NH 3 Tagging approach CTM Incremental Mass transfer - SA Input (model, emissions, meteorology, city, resolution…)

Uncertainties of the SHERPA input data Sectors (Transport-Industry-Residential-Agriculture SHERPA SHERPA Areas Areas (City-country-EU) (city-FUA-National-International) 9 CHIMERE EMEP Emissions Emissions Meteorology Meteorology Base year Base year Resolution Resolution

SHERPA in the overall context Visualisation & Interpretation Aim : identify & quantify the sectoral and/or spatial origins of pollution NH 4 SHERPA NH 3 Tagging approach CTM Incremental Mass transfer - SA Input (model, emissions, meteorology, city, resolution…)

SHERPA formulation & evaluation SHERPA CHIMERE

SHERPA formulation, uncertainties and methodological approach Concent entrat atio ion vs. expos posure: ure: industry stry << fac 2 or 3 Visualisation & Interpretation Aim : identify & quantify the sectoral and/or spatial origins of pollution NH 4 Urban an Agri Bias << << SHERPA << << 5-10 10% NH 3 30-50 30 50% Fac 2 or 3 Tagging approach CTM Incremental Mass transfer - SA Possib sible le change ges in prior orities ities Input (model, emissions, meteorology, city, resolution…)

SHERPA survey SHERPA SURVEY  Interpretation of results Result  Better documentation  Speed  Exporting formats  More validation  linearity emissions/concentrations SHERPA  Mountain areas, background  Treatment of point sources Assumptions  Limited to screening at country level  Too coarse resolution for urban  More validation (CTM, emissions)  Geographical coverage CTM  Inaccuracy in emission inventory  Choice of CTM model  Use of own emission inventory Input

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