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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EDP Sciences
2020-01-01
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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 |
work_keys_str_mv |
AT ovchynnikovaolena modellingandforecastingoftheregionsenvironmentalindicators AT dupliakolha modellingandforecastingoftheregionsenvironmentalindicators AT khanolha modellingandforecastingoftheregionsenvironmentalindicators |
_version_ |
1724167683696492544 |