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THE MODEL OF NEURAL NETWORKS FOR FORECASTING OF DISTRIBUTION OF THE AIR POLLUTION IN THE URBAN AREA

Assoc. Prof. Nina Plugotarenko, Assoc. Prof. Oxana Korotkova

First published: 2017-11-20https://doi.org/10.5593/sgem2017h/43/s19.070View metrics

Abstract

The monitoring of quality of the urban air environment takes a big part in reaching good environmental conditions. The model of neural networks for forecasting of distribution of nitrogen dioxide in the surface layer of the air environment is shown in this research. The model is based on meteorological data and the information of sources of emissions of polluting substances. The optimal network configuration was determined on the basis of standard deviation and the quality of education. This is the cascade network with direct propagation of signal and back-propagation of error. The network consists of two layers with 11 neurons. The training of network conducted the method of LevenbergпїЅMarquardt based on environmental monitoring data. ItпїЅs shown in retrainingthat standard deviation decreases more even more than for 2 years. The results of the model are visualized in ArcGis program. The results of the modeling give the information about the distribution of air nitrogen dioxide with a regard of the different meteorological conditions and the contribution of industrial pollution in the air environment of the city, enabling a timely response and management decisions.

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Publication details

Title
THE MODEL OF NEURAL NETWORKS FOR FORECASTING OF DISTRIBUTION OF THE AIR POLLUTION IN THE URBAN AREA
Authors
Assoc. Prof. Nina Plugotarenko, Assoc. Prof. Oxana Korotkova
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Energy and Clean Technologies
Publisher
STEF92 Technology
Year
2017
Pages
553-560
SWS Citekey
Plugotarenko201719553560
ISSN
1314-2704
ISBN
978-619-7408-28-7
Language
en
Publication type
Conference Paper
Keywords
monitoringneural networkmodelingcascade networkpollutants
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