Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 2, pp. 259-265
Estimation of multiyear changes in nitrogen oxide concentrations over Russia from satellite measurements
A.A. Tronin
1 , S.G. Kritsuk
1 , A.V. Kiselev
1 1 Saint Petersburg Scientific Research Center for Ecological Safety RAS, Saint Petersburg, Russia
Accepted: 20.02.2019
DOI: 10.21046/2070-7401-2019-16-2-259-265
Nitrogen dioxide is one of the main anthropogenic air pollutants especially in megalopolises and industrial zones. High concentrations gas anomalies spread on tens kilometers, sometimes on 300–400 km depending on prevailing wind direction. Current remote sensing systems allow to control nitrogen dioxide in atmosphere. Main device for gas measurements from satellite are SCIAMACHY and OMI hyperspectrometers. Daily Earth monitoring of nitrogen dioxide is impossible now due to low spatial resolution and clouds. Monthly and yearly mean values are reasonable for analysis. Data analysis indicate clear conjunction of gas anomalies with anthropogenic sources. Nitrogen dioxide anomalies sources are divided in urban and industrial, areas of oil and gas explorations, coal mining. The most intensive anomalies are observed over Moscow, St. Petersburg and Moscow region. Time-series analysis is the point of interest in addition to gas concentration distribution. Linear trends of nitrogen dioxide concentrations over Russian regions were compiled for the 2005–2017 time period. The group of regions in the center of European Russia with negative trend was detected. The most intensive concentrations drop in time was recorded over Moscow, Saint Petersburg and Moscow region, areas with highest gas concentrations. Slight nitrogen dioxide concentrations growth was revealed in Arctic regions, it may be related with gas concentrations retrieving errors in high latitudes. Another group of regions in the North Caucasus and the Russian Far East also demonstrate gas concentration growth.
Keywords: nitrogen dioxide, satellite, multi-year trend
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