Modelling and forecasting of the region’s environmental indicators

The environmental situation in the Khmelnytskyi oblast has been analyzed, models and forecasts of indicators have been developed by methods of extrapolation, regression analysis and trend models, and the quality of forecasting has been estimated. Namely, the models of influence of selected factors o...

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Main Authors: Ovchynnikova Olena, Dupliak Olha, Khan Olha
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/26/e3sconf_icsf2020_13004.pdf
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spelling doaj-2e0fc7b644c94dec92f6b04771e787362021-04-02T10:12:38ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011661300410.1051/e3sconf/202016613004e3sconf_icsf2020_13004Modelling and forecasting of the region’s environmental indicatorsOvchynnikova Olena0Dupliak Olha1Khan Olha2Khmelnytskyi National University, Department of Automated Systems and Modeling in EconomicsKhmelnytskyi National University, Department of Automated Systems and Modeling in EconomicsKhmelnytskyi secondary school No. 19 of the I-III degree named after academician Mykhailo PavlovskyiThe environmental situation in the Khmelnytskyi oblast has been analyzed, models and forecasts of indicators have been developed by methods of extrapolation, regression analysis and trend models, and the quality of forecasting has been estimated. Namely, the models of influence of selected factors on the environmental situation in the Khmelnytskyi oblast have been developed. Oneand multifactorial regression models have been constructed, conclusions about the degree of influence of factors have been made. Trend models of indicators of the ecological situation in the region have been constructed. Estimates of pollutant emissions, indicators of the creation and disposal of hazardous waste have been developed using different forecasting methods. These calculations can be used to carry out activities aimed at protecting the environment.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/26/e3sconf_icsf2020_13004.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Ovchynnikova Olena
Dupliak Olha
Khan Olha
spellingShingle Ovchynnikova Olena
Dupliak Olha
Khan Olha
Modelling and forecasting of the region’s environmental indicators
E3S Web of Conferences
author_facet Ovchynnikova Olena
Dupliak Olha
Khan Olha
author_sort Ovchynnikova Olena
title Modelling and forecasting of the region’s environmental indicators
title_short Modelling and forecasting of the region’s environmental indicators
title_full Modelling and forecasting of the region’s environmental indicators
title_fullStr Modelling and forecasting of the region’s environmental indicators
title_full_unstemmed Modelling and forecasting of the region’s environmental indicators
title_sort modelling and forecasting of the region’s environmental indicators
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2020-01-01
description The environmental situation in the Khmelnytskyi oblast has been analyzed, models and forecasts of indicators have been developed by methods of extrapolation, regression analysis and trend models, and the quality of forecasting has been estimated. Namely, the models of influence of selected factors on the environmental situation in the Khmelnytskyi oblast have been developed. Oneand multifactorial regression models have been constructed, conclusions about the degree of influence of factors have been made. Trend models of indicators of the ecological situation in the region have been constructed. Estimates of pollutant emissions, indicators of the creation and disposal of hazardous waste have been developed using different forecasting methods. These calculations can be used to carry out activities aimed at protecting the environment.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/26/e3sconf_icsf2020_13004.pdf
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AT dupliakolha modellingandforecastingoftheregionsenvironmentalindicators
AT khanolha modellingandforecastingoftheregionsenvironmentalindicators
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