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Evaluation and dynamic monitoring of ecological environment quality in mining area based on improved CRSEI index model
Large-scale open-pit mining in mining areas will cause serious damage to the ecological environment. Building a “green mine” is an essential part of implementing sustainable development. In order to explore the changing characteristics of the environmental quality of the open-pit mining area and pro...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590797/ https://www.ncbi.nlm.nih.gov/pubmed/37876468 http://dx.doi.org/10.1016/j.heliyon.2023.e20787 |
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author | Liu, Yajing Liu, Hongjian Yan, Chaoqun Feng, Zhengwen Zhou, Shuai |
author_facet | Liu, Yajing Liu, Hongjian Yan, Chaoqun Feng, Zhengwen Zhou, Shuai |
author_sort | Liu, Yajing |
collection | PubMed |
description | Large-scale open-pit mining in mining areas will cause serious damage to the ecological environment. Building a “green mine” is an essential part of implementing sustainable development. In order to explore the changing characteristics of the environmental quality of the open-pit mining area and provide a scientific basis for improving the ecological environment of the mining area. Taking Sijiying open-pit mining area as the research area, based on four Landsat images from 2000 to 2022, the four index components of greenness, humidity, dryness and heat were integrated, and an improved remote sensing ecological index CRSEI was constructed by principal component analysis to dynamically evaluate and monitor the ecological environment quality of the mining area. The results show that the average correlation between CRSEI and the index components is higher than the average correlation between the components, indicating that it has a favorable expression effect on the ecological quality of the mining area. The ecological environmental quality of the study area experienced a shift to the poor grade, and the poor ecological quality area was mainly distributed in industrial and mining land and construction land, with the mean CRSEI of 0.668, 0.474, 0.460 and 0.494, respectively. The results of dynamic monitoring showed that the proportion of ecological improvement area (41.43 %) was greater than that of ecological deterioration area (33.29 %) in the study area in the past 22 years, and additional restoration efforts should be made to achieve sustainable development of the ecological environment. |
format | Online Article Text |
id | pubmed-10590797 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105907972023-10-24 Evaluation and dynamic monitoring of ecological environment quality in mining area based on improved CRSEI index model Liu, Yajing Liu, Hongjian Yan, Chaoqun Feng, Zhengwen Zhou, Shuai Heliyon Research Article Large-scale open-pit mining in mining areas will cause serious damage to the ecological environment. Building a “green mine” is an essential part of implementing sustainable development. In order to explore the changing characteristics of the environmental quality of the open-pit mining area and provide a scientific basis for improving the ecological environment of the mining area. Taking Sijiying open-pit mining area as the research area, based on four Landsat images from 2000 to 2022, the four index components of greenness, humidity, dryness and heat were integrated, and an improved remote sensing ecological index CRSEI was constructed by principal component analysis to dynamically evaluate and monitor the ecological environment quality of the mining area. The results show that the average correlation between CRSEI and the index components is higher than the average correlation between the components, indicating that it has a favorable expression effect on the ecological quality of the mining area. The ecological environmental quality of the study area experienced a shift to the poor grade, and the poor ecological quality area was mainly distributed in industrial and mining land and construction land, with the mean CRSEI of 0.668, 0.474, 0.460 and 0.494, respectively. The results of dynamic monitoring showed that the proportion of ecological improvement area (41.43 %) was greater than that of ecological deterioration area (33.29 %) in the study area in the past 22 years, and additional restoration efforts should be made to achieve sustainable development of the ecological environment. Elsevier 2023-10-11 /pmc/articles/PMC10590797/ /pubmed/37876468 http://dx.doi.org/10.1016/j.heliyon.2023.e20787 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Liu, Yajing Liu, Hongjian Yan, Chaoqun Feng, Zhengwen Zhou, Shuai Evaluation and dynamic monitoring of ecological environment quality in mining area based on improved CRSEI index model |
title | Evaluation and dynamic monitoring of ecological environment quality in mining area based on improved CRSEI index model |
title_full | Evaluation and dynamic monitoring of ecological environment quality in mining area based on improved CRSEI index model |
title_fullStr | Evaluation and dynamic monitoring of ecological environment quality in mining area based on improved CRSEI index model |
title_full_unstemmed | Evaluation and dynamic monitoring of ecological environment quality in mining area based on improved CRSEI index model |
title_short | Evaluation and dynamic monitoring of ecological environment quality in mining area based on improved CRSEI index model |
title_sort | evaluation and dynamic monitoring of ecological environment quality in mining area based on improved crsei index model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590797/ https://www.ncbi.nlm.nih.gov/pubmed/37876468 http://dx.doi.org/10.1016/j.heliyon.2023.e20787 |
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