DETECTION Of ATMOSPHERIC POLLUTION SOURCES BY USING CROSS-PLUME SCANNING METHOD AND MOBILE RAILwAY LABORATORY
https://doi.org/10.24057/2071-9388-2018-11-3-71-82
Abstract
In this study the power of the sulfur dioxide emissions from the Mid-Urals copper-smelting enterprise (MUCE) was estimated by using plume cross-scanning. The combination of the observational data obtained by the TROICA experiments and information obtained by satellite photos of the Earth’s surface together with the ISCST3 dispersion model is promising for studies of the short-range atmospheric transport of chemically inactive pollutants. The results of ISCT3 model simulations indicate that the SO2 emissions in terms of sulfur make up about 3–4% of the plant sulfuric acid production. Also the cross validation between ISCST3 and NOAA HYSPLIT dispersion models was carried out. The emission rate obtained at the NOAA HYSPLIT model simulation is 1.5 times higher than the emission rate calculated at the ISCST3 simulation. It was emphasized, that the using of mobile platforms on electric traction has advantages in studying the environmental situation in comparison with the measurement system, constructed on the stationary Environmental Protection Stations. The cross-plume scanning method to a lesser degree depends on the wind rose, the features of the landscape and a relative location of emission sources and sensors.
About the Authors
A. N. Safronov
Obukhov Institute of Atmospheric Physics RAS.
Russian Federation
Scientific researcher in the Laboratory of Atmospheric Gaseous Species (LAGS). PhD Physical and Mathematical SciencesMoscow.
Russian Federation
Scientific researcher in the Laboratory of Atmospheric Gaseous Species (LAGS). PhD Physical and Mathematical SciencesMoscow.
N. F. Elansky
Obukhov Institute of Atmospheric Physics RAS.
Russian Federation
Russian Federation
Doctor of Physical and Mathematical Sciences.
Moscow.
A. I. Skorokhod
Obukhov Institute of Atmospheric Physics RAS.
Russian Federation
Russian Federation
Head of Laboratory of Atmospheric Gaseous Species (LAGS).
Moscow.
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Review
For citations:
Safronov A.N., Elansky N.F., Skorokhod A.I. DETECTION Of ATMOSPHERIC POLLUTION SOURCES BY USING CROSS-PLUME SCANNING METHOD AND MOBILE RAILwAY LABORATORY. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. 2018;11(3):71-82. https://doi.org/10.24057/2071-9388-2018-11-3-71-82
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