1. 1 Progress in IAM in Russia: Interim results of phase III of Russian-Swedish bilateral cooperation project Yulia Ignatyeva, Irina Morozova, Kristina Volkova JSC « SRI Atmosphere » Section for Scientific-Methodological Basics of Environmental Impact Assessment, Transboundary Transfer and State Accounting E-mail: jlya.ignateva@gmail.com Тel. +7 812 297 53 05 TFIAM 41, 7-9 May 2012, Bilthoven, The Netherlands

2. 2 Russian-Swedish cooperation project Development of the Cooperation within the Convention on Long-range Transboundary Air Pollution — CLRTAP www.rusaco.se Overall objective: To raise the awareness of global air pollution and to strengthen the political profile of CLRTAP activities in the Russian Federation. Phase III: 2011-2012

3. 3 European territory of Russia is presented by regions: Russia, Kaliningrad Russia, Kola and Karelia Russia, St. Petersburg Russia, Remaining GAINS RUSSIA (earlier version)

4. 4 GAINS_RUSSIA

5. 5 Determining coefficients of source-receptor dependencies for EMEP grid cells and Russian regions (federal districts), with the help of the EMEP model Introduction of the dependencies into the GAINS model for making it possible to calculate and show environmental and health impacts

6. 6 Splitting of the territory into EMEP grid cells

7. 7

8. 8 List of the substances NH 3 NMVOC NOx CO PM2.5 PMcorca SOx 700 – Central 701 – South 702 – Northern Caucasus 704 – Other central (Moscow excluded) 550 – Moscow 708 – Northwestern 709 – Volga Codes of regions in the EMEP model

9. 9 Spatial distribution of emissions CO, t/year SO 2, t/year

10. 10 Splitting of the territory into EMEP grid cells

11. 11 CEIP data (2008) split over the European territory of Russia, EMEP input data format

12. 12 GAINS input data sources Main interregional center for processing and distribution of statistical information under the authority of the Federal State Statistics Service Federal State Statistics Service Informational-analytical edition «Automobile market in Russia» Territorial Bodies of GIBDD (State Inspection for Road Traffic Safety)

13. 13 Production of electricity and heat, PJ Region Russia, total Northweste rn CentralVolgaSouth Northern Caucasus 200520102005201020052010200520102005201020052010 Electicity producted, total3431.13736.9342.1398.6755.4823.8675.0686.4171.1181.980.990.3 including Electiricty produced by nuclear power stations 536.4613.5120.3137.6263.4301.2100.7115.239.144.70.0 Electiricty produced by hydropowerstations 630.0598.349.146.66.66.392.687.942.940.731.129.5 Heat produced, total6031.25749.8745.7710.91385.41320.81400.11334.7269.1256.580.777.0

14. 14 Region Northwester n CentralVolgaSouth Northern Caucasus 2005201020052010200520102005201020052010 Fuel used, total2320.22501.24359.94722.85992.34120.31279.61281.7548.4549.3 including Solid fuel441.6553.3530.4586.9242.0327.365.564.928.127.8 Biofuel30.720.919.29.017.712.71.40.80.60.3 Liquid fuel482.5504.8445.4690.12286.6546.9163.3190.970.081.8 Gaseous fuel1365.41422.33364.83436.83446.03233.31049.51025.2449.8439.4 Fuel consumption by type, PJ

15. 15 Number of vehicles, thousands 2005 2010 Northwestern Volga Northern Caucasus Central South passenger cars heavy duty trucks busesMC mopeds passenger cars heavy duty trucks buses MC mopeds

16. 16

17. 17 Emission comparisons Region IIASANational emission inventory 2005201020052010 SO 2, th. ton Northwestern719650578603 Central256232261172 Volga560507493359 South260235160111 Northern Caucasus1781612212 NOx, th. ton Northwestern402348311317 Central1133979790727 Volga882762513627 South409353374215 Northern Caucasus280242154189 CO, th. ton Northwestern4050403415131708 Central101321008837123165 Volga8053801828292594 South371236962829960 Northern Caucasus25052494958827

18. 18 Fuel consumption in Northern Caucasus, PJ 2005 2010 fuel, total solid fuel biofuel liquid fuel gaseous fuel fuel, total solid fuel biofuel liquid fuel gaseous fuel State statistics GAINS (IIASA)

19. 19 Further work Studying development strategies for federal districts Development of projections in the GAINS model Calculations in the GAINS model

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