Capacity building regarding data inventory and air pollution modelling with the EMEP and GAINS models - applied on Oblasts of the Russian Federation Presentation.

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Presentation transcript:

Capacity building regarding data inventory and air pollution modelling with the EMEP and GAINS models - applied on Oblasts of the Russian Federation Presentation for the Nordic Council of Ministers, Climate and Air group Stefan Åström, IVL

EMEP and GAINS model capacity building in Russia Stefan Åström, Disposition  Two parts, –One relates to GAINS model adjustments, –the other to Russian EMEP model exercises  Problem description  Current work  Other developments

EMEP and GAINS model capacity building in Russia Stefan Åström, The CLRTAP

EMEP and GAINS model capacity building in Russia Stefan Åström, GAINS - online Energy/agricultural projections Emissions Emission control options Atmospheric dispersion Air pollution impacts, Basket of GHG emissions Costs PRIMES, POLES, CAPRI, national projections Simulation/ “Scenario analysis” mode source: IIASA EGTEI, interim reports EMEP model WHO, CCE, etc

EMEP and GAINS model capacity building in Russia Stefan Åström, Meteorologisk Institutt met.no The Unified EMEP model o Eulerian chemical transport model o Horizontal grid: flexible wrt projection and resolution: o Global domain: 1º x 1º o Regional domain (Europe+N. Atlantic): 50x50 km 2 to 10x10 km 2 o Vertical grid: 20 layers (up to 100 hPa) o Meteorology: ECMWF-IFS (standard), HIRLAM, WRF o Chemistry: 70 species, about 140 reactions o Aerosols:SO 4, NO 3, NH 4, BC, OC, sea salt, dust, water fine and coarse (standard), four size bins (extended) o Use for policy applications: calculations of status and trends in long-range trans-boundary pollution under the UN ECE LRTAP Convention

EMEP and GAINS model capacity building in Russia Stefan Åström, Meteorologisk Institutt met.no The Unified EMEP model Horizontal resolution: 50 x 50 km 2 (25x25, 10x10 km 2 ) ) ‏ Vertical resolution: 20 layers ( up to 100 hPa) ‏ Off-line meteorology: 3-h HIRLAM (EC MWF) ‏ Calculation domains Black – “old” 50x50 km2 Red – extended 50x50 km2 25x25 km2 Blue – 10x10 km2

EMEP and GAINS model capacity building in Russia Stefan Åström, Russia in the current GAINS Europe model Popov, 2002One emission dispersion region

EMEP and GAINS model capacity building in Russia Stefan Åström, Russia in the current GAINS Russia model Popov, 2002

EMEP and GAINS model capacity building in Russia Stefan Åström, The world in the GAINS World model Cofala, 2011

EMEP and GAINS model capacity building in Russia Stefan Åström, Russia in the GAINS World model Cofala, 2011

EMEP and GAINS model capacity building in Russia Stefan Åström, Western Russia in the GAINS World model Cofala, 2011

EMEP and GAINS model capacity building in Russia Stefan Åström, Progresses in EMEP modelling – emissions of pollutants in Russia Morozovia, 2011

EMEP and GAINS model capacity building in Russia Stefan Åström, Emission dispersion calculations using the extended EMEP model grid Morozovia, 2011

EMEP and GAINS model capacity building in Russia Stefan Åström, The Russian regions of primary concern The GAINS SPET region St.Petersburg, Leningradskaya, Pskov, Novgorodskaya oblasts The GAINS Kola/Karelia region Murmansk, Karelia oblasts

EMEP and GAINS model capacity building in Russia Stefan Åström, Emission dispersion without implementation of emission control Emission Emission dispersion if no emissions are controlled by technologies Morozovia, 2010

EMEP and GAINS model capacity building in Russia Stefan Åström, If GAINS model baseline measures were used 2005 Emission dispersion when baseline measures are applied Emission Morozovia, 2010

EMEP and GAINS model capacity building in Russia Stefan Åström, SOx deposition from Kola/Karelia, no emission control (mgS/m2) Morozovia, 2010

EMEP and GAINS model capacity building in Russia Stefan Åström, SOx deposition from Kola/Karelia, with IIASA baseline measures (mgS/m2) Morozovia, 2010

EMEP and GAINS model capacity building in Russia Stefan Åström, region-to-region blame matrices for SOx deposition, tonne KARELENI MUR M VOL O ARK H KAL I EEPLDEFIBYKZSEUATR PSK O NOV G NO Rest part of EMEP KARE LENI MUR M VOLO ARKH KALI EE PL DE FI BY KZ SE UA TR PSKO NOVG NO Morozovia, 2011

EMEP and GAINS model capacity building in Russia Stefan Åström, Other developments  Reorganisations and restructuring  Rostekhnadzor - Federal service on ecological, technological and nuclear supervision, is now directly under the government. A reorganisation has followed  Change of capacity  Other changes

EMEP and GAINS model capacity building in Russia Stefan Åström, Thank you NMR!