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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, Vol. 18, No. 2, pp. 97-111

Space observations of surface parameters for AERMOD modeling of industrial air pollution. Part 1. Literature review, data, land use classification

B.M. Balter 1 , D.B. Balter 1 , V.V. Egorov 1 , M.V. Stalnaya 1 , M.V. Faminskaya 2 
1 Space Research Institute RAS, Moscow, Russia
2 Russian State Social University, Moscow, Russia
Accepted: 09.12.2020
DOI: 10.21046/2070-7401-2021-18-2-97-111
In the work, the AERMOD industrial pollution dispersion model is enhanced with remote sensing observations and climatic models based on them. The focus is on the three surface parameters (albedo, roughness, Bowen ratio) and on land use classification on which it depends. We model maximum hourly concentrations and the resulting acute health risk and assess the effect produced by using remote sensing data for local areas around industrial plants instead of global standard AERMOD parameters. In this part of the publication, we review the research on extracting the AERMOD-related surface parameters from space remote sensing data and the published data about the effect of their usage on model concentrations. Then, the data we used in our research of this problem (five real multi-source plants) and the approach to measuring the effect of remote sensing data are described. The effect on each plant’s critical pollutant is measured in three ways: a) as difference between the yearly maxima of hourly concentrations of a critical pollutant (“absolute”); b) the same limited to daytime workhours and 95 % quantile instead of absolute maximum (“regulatory”); c) as maximum hourly difference over a year (“instant”). The measure of effect is divided either by the reference concentration of the pollutant, which yields the impact on health risk, or by the concentration obtained with AERMOD standards, which yields a relative measure of impact. In this part of the publication, we focus on the effect of using remote sensing for land use classification. It is considerable for all three criteria used a)–c).
Keywords: AERMOD, pollutant dispersion model, albedo, roughness, Bowen parameter, land use classification, maximal hourly concentrations, Landsat, ALOS, GLASS, ERA5
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