Eco-environmental assessment model of the mining area in Gongyi, China

Abstract The ecological environment directly affects human life. One of the ecological environmental issues that China is presently facing is deterioration of the ecological environment due to mining. The pollution produced by mining causes the destruction of land, water bodies, the atmosphere, and...

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Autores principales:	Ying Wang, Xueling Wu, Siyuan He, Ruiqing Niu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/da3f6195df6d412893e8fcee9ad76868
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spelling	oai:doaj.org-article:da3f6195df6d412893e8fcee9ad768682021-12-02T19:09:30ZEco-environmental assessment model of the mining area in Gongyi, China10.1038/s41598-021-96625-92045-2322https://doaj.org/article/da3f6195df6d412893e8fcee9ad768682021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96625-9https://doaj.org/toc/2045-2322Abstract The ecological environment directly affects human life. One of the ecological environmental issues that China is presently facing is deterioration of the ecological environment due to mining. The pollution produced by mining causes the destruction of land, water bodies, the atmosphere, and vegetation resources and new geological problems that seriously impact human civilization and life. The main purpose of this study is to present an environmental assessment model of mine pollution to evaluate the eco-environment of mining. This study added mineral species and mining types into the factor layers and built an improved evaluation system to accurately evaluate the impact of mines on the eco-environment. In the non-mining area, the grades of the eco-environment were divided according to the Technical Criterion for Ecosystem Status Evaluation standard document. In the mining area, the grades of the assessment for the eco-environment were classified by a field survey. After comparing the accuracy of various methods, the support vector machine (SVM) model, with an accuracy of 94.8%, was chosen for the mining area, and the classification and regression tree (CART) model, with an accuracy of 89.36%, was chosen for the non-mining area. Finally, environmental assessment maps for the entire study area were generated. The results indicate that the mine environmental assessment system established by this study avoids the subjective limitations of traditional assessment methods, provides an effective method for assessing ecological quality, and will help relevant departments to plan for mine resources.Ying WangXueling WuSiyuan HeRuiqing NiuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ying Wang Xueling Wu Siyuan He Ruiqing Niu Eco-environmental assessment model of the mining area in Gongyi, China
description	Abstract The ecological environment directly affects human life. One of the ecological environmental issues that China is presently facing is deterioration of the ecological environment due to mining. The pollution produced by mining causes the destruction of land, water bodies, the atmosphere, and vegetation resources and new geological problems that seriously impact human civilization and life. The main purpose of this study is to present an environmental assessment model of mine pollution to evaluate the eco-environment of mining. This study added mineral species and mining types into the factor layers and built an improved evaluation system to accurately evaluate the impact of mines on the eco-environment. In the non-mining area, the grades of the eco-environment were divided according to the Technical Criterion for Ecosystem Status Evaluation standard document. In the mining area, the grades of the assessment for the eco-environment were classified by a field survey. After comparing the accuracy of various methods, the support vector machine (SVM) model, with an accuracy of 94.8%, was chosen for the mining area, and the classification and regression tree (CART) model, with an accuracy of 89.36%, was chosen for the non-mining area. Finally, environmental assessment maps for the entire study area were generated. The results indicate that the mine environmental assessment system established by this study avoids the subjective limitations of traditional assessment methods, provides an effective method for assessing ecological quality, and will help relevant departments to plan for mine resources.
format	article
author	Ying Wang Xueling Wu Siyuan He Ruiqing Niu
author_facet	Ying Wang Xueling Wu Siyuan He Ruiqing Niu
author_sort	Ying Wang
title	Eco-environmental assessment model of the mining area in Gongyi, China
title_short	Eco-environmental assessment model of the mining area in Gongyi, China
title_full	Eco-environmental assessment model of the mining area in Gongyi, China
title_fullStr	Eco-environmental assessment model of the mining area in Gongyi, China
title_full_unstemmed	Eco-environmental assessment model of the mining area in Gongyi, China
title_sort	eco-environmental assessment model of the mining area in gongyi, china
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/da3f6195df6d412893e8fcee9ad76868
work_keys_str_mv	AT yingwang ecoenvironmentalassessmentmodeloftheminingareaingongyichina AT xuelingwu ecoenvironmentalassessmentmodeloftheminingareaingongyichina AT siyuanhe ecoenvironmentalassessmentmodeloftheminingareaingongyichina AT ruiqingniu ecoenvironmentalassessmentmodeloftheminingareaingongyichina
_version_	1718377119537430528

Eco-environmental assessment model of the mining area in Gongyi, China

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