ISSN 2285-6064, ISSN CD-ROM 2285-6072, ISSN-L 2285-6064, Online ISSN 2393-5138
 

MATHEMATICAL MODEL FOR PREDICTION OF NO<sub>2</sub> CONCENTRATION IN THE SOUTHEASTERN REGION OF ROMANIA, USING RECURSIVE LEAST SQUARES FILTER METHODS

Published in Scientific Papers. Series E. Land Reclamation, Earth Observation & Surveying, Environmental Engineering, Vol. XIV
Written by Gabriel MURARIU, Sorin FRASINA, Adrian ROȘU, Corneliu DOROFTEI, Iulian RACOVIȚĂ, Bogdan ROȘU, Fetecău CĂTĂLIN, Mirela VOICULESCU, Cătălin NEGOIȚĂ

Nitrogen dioxide is found in the atmosphere as a key ingredient in the photochemical formation of smog and acid rain, nitrogen dioxide is a poisonous gas that is formed during combustion. Toxic at high concentrations, it reacts with moisture in the air to form nitric acid, which is highly corrosive and dangerous to plants and animals. In this study, we present a predictive model for nitrogen dioxide concentrations measured between 2017 and 2024 at ground level in a national network of monitoring stations. The model is based on a statistical approach to measurements from 152 automatic measurement points, with an hourly resolution. The analysis carried out allowed the construction of a mathematical model in order to make an effective prediction. The algorithms used were of the Recursive least squares filter type. The application used was made possible by running a dedicated software in PyCharm. It was found that the model for daytime concentrations depends linearly on a series of parameters monitored by the national network.

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© 2019 SCIENTIFIC PAPERS LAND RECLAMATION, EARTH OBSERVATION & SURVEYING, ENVIRONMENTAL ENGINEERING. All Rights Reserved. To be cited: SCIENTIFIC PAPERS LAND RECLAMATION, EARTH OBSERVATION & SURVEYING, ENVIRONMENTAL ENGINEERING.

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