Atmos. Chem. Phys. Discuss., 11, 12141-12205, 2011
www.atmos-chem-phys-discuss.net/11/12141/2011/
doi:10.5194/acpd-11-12141-2011
© Author(s) 2011. This work is distributed
under the Creative Commons Attribution 3.0 License.
Review Status
This discussion paper has been under review for the journal Atmospheric Chemistry and Physics (ACP). Please refer to the corresponding final paper in ACP.
Atmospheric impacts of the 2010 Russian wildfires: integrating modelling and measurements of the extreme air pollution episode in the Moscow megacity region
I. B. Konovalov1,2, M. Beekmann2, I. N. Kuznetsova3, A. Yurova3, and A. M. Zvyagintsev4
1Institute of Applied Physics, Russian Academy of Sciences, Nizhniy Novgorod, Russia
2Laboratoire Inter-Universitaire de Systèmes Atmosphériques, CNRS UMR 7583, Université Paris-Est and Université Paris 7, Créteil, France
3Hydrometeorological Centre of Russia, Moscow, Russia
4Central Aerological Laboratory, Dolgoprudny, Russia

Abstract. Numerous wildfires provoked by an unprecedented intensive heat wave caused continuous episodes of extreme air pollution in several Russian cities and densely pullulated regions, including the Moscow megacity region. This paper analyzes the chemical evolution of the atmosphere over the Moscow region during the 2010 heat wave by integrating available ground based and satellite measurements with results of meso-scale modeling. The state-of-the-art CHIMERE CTM is used, which is modified to take into account air pollutant emissions from wildfires and the shielding effect of smoke aerosols. The wild fire emissions are derived from satellite measurements of the fire radiative power and are optimized by assimilating data of ground measurements of carbon monoxide (CO) and particulate matter (PM10) into the model. It is demonstrated that the optimized simulations reproduce independent observations, which were withheld during the optimisation procedure, quite adequately (specifically, the correlation coefficient of daily time series of CO and PM10 exceeds 0.8) and that inclusion of the fire emissions into the model significantly improves its performance. The results of the analysis show that wildfires were a principal factor causing the observed air pollution episodes associated with the extremely high level of daily mean CO and PM10 concentrations (up to 10 mg m−3 and 700 μg m−3 in the averages over available monitoring sites, respectively) in the Moscow region, although accumulation of anthropogenic pollution was also favoured by a stagnant meteorological situation. In contrast, diagnostic model runs indicate that ozone concentrations could reach very high values even without fire emissions which provide "fuel" for ozone formation, but, at the same time, inhibit it as a result of absorption and scattering of solar radiation by smoke aerosols. The analysis of MOPITT CO measurements and of corresponding simulations indicates that the observed episodes of extreme air pollution in Moscow were only a part of a very strong perturbation of the atmospheric composition, caused by wildfires, over the largest part of European Russia. It is estimated that 2010 fires in the European part of Russia emitted ~9.7 Tg CO, that is more than 85% of the total annual anthropogenic CO emissions in this region. About 30% of total CO fire emissions in European Russia are identified as emissions from peat fires.

Citation: Konovalov, I. B., Beekmann, M., Kuznetsova, I. N., Yurova, A., and Zvyagintsev, A. M.: Atmospheric impacts of the 2010 Russian wildfires: integrating modelling and measurements of the extreme air pollution episode in the Moscow megacity region, Atmos. Chem. Phys. Discuss., 11, 12141-12205, doi:10.5194/acpd-11-12141-2011, 2011.
 
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