Monitoring of ecological environment changes in open-pit mines on the Loess Plateau from 1990 to 2023 based on RSEI
To address the sustainability challenges of mining, nations and regions have enacted restrictive policies aimed at enhancing ecological environment quality. This study focuses on a typical open-pit lime mine in Yongdeng County, Gansu Province, as a case study to investigate the environmental changes...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Ecological Indicators |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X24015218 |
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| author | Xingbang Wang Yanyun Nian Haiyuan Wang Jie Chen Kegong Li Tianming Hu Zhiming Li |
| author_facet | Xingbang Wang Yanyun Nian Haiyuan Wang Jie Chen Kegong Li Tianming Hu Zhiming Li |
| author_sort | Xingbang Wang |
| collection | DOAJ |
| description | To address the sustainability challenges of mining, nations and regions have enacted restrictive policies aimed at enhancing ecological environment quality. This study focuses on a typical open-pit lime mine in Yongdeng County, Gansu Province, as a case study to investigate the environmental changes throughout the full life cycle of the mine, from before the start of mining, through peak mining, to the final stage of ecological recovery. Employing the Remote Sensing Ecological Index (RSEI) derived from Landsat satellite imagery spanning 1990 to 2023, we conducted a comprehensive analysis utilizing the Sen + Mann-Kendall method. The results revealed that on the temporal dimension, a non-monotonic trend comprising an initial ascent, a descent, and a subsequent ascent in the ecological environment quality of the study area over the three-decade period. from a spatial perspective, the mining zone regions consistently exhibited a poor ecological state, contrasting with the generally better condition observed in non-mining regions. These results can provide reference for the ecological environment governance of open-pit mines. |
| format | Article |
| id | doaj-art-21521bafe7af44b3a9f6d2f959dc25e9 |
| institution | Kabale University |
| issn | 1470-160X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj-art-21521bafe7af44b3a9f6d2f959dc25e92025-01-31T05:10:44ZengElsevierEcological Indicators1470-160X2025-01-01170113064Monitoring of ecological environment changes in open-pit mines on the Loess Plateau from 1990 to 2023 based on RSEIXingbang Wang0Yanyun Nian1Haiyuan Wang2Jie Chen3Kegong Li4Tianming Hu5Zhiming Li6Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, PR China; The Third Geological and Mineral Exploration Institute of Gansu Provincial Bureau of Geology and Mineral Resources, Lanzhou 730050, ChinaKey Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, PR China; Corresponding author.Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, PR ChinaKey Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, PR ChinaGansu Surveying and Mapping Engineering Institute, Lanzhou 730000, ChinaGansu Surveying and Mapping Engineering Institute, Lanzhou 730000, ChinaGansu Surveying and Mapping Engineering Institute, Lanzhou 730000, ChinaTo address the sustainability challenges of mining, nations and regions have enacted restrictive policies aimed at enhancing ecological environment quality. This study focuses on a typical open-pit lime mine in Yongdeng County, Gansu Province, as a case study to investigate the environmental changes throughout the full life cycle of the mine, from before the start of mining, through peak mining, to the final stage of ecological recovery. Employing the Remote Sensing Ecological Index (RSEI) derived from Landsat satellite imagery spanning 1990 to 2023, we conducted a comprehensive analysis utilizing the Sen + Mann-Kendall method. The results revealed that on the temporal dimension, a non-monotonic trend comprising an initial ascent, a descent, and a subsequent ascent in the ecological environment quality of the study area over the three-decade period. from a spatial perspective, the mining zone regions consistently exhibited a poor ecological state, contrasting with the generally better condition observed in non-mining regions. These results can provide reference for the ecological environment governance of open-pit mines.http://www.sciencedirect.com/science/article/pii/S1470160X24015218Loess PlateauOpen-pit MinesLong-term MonitoringRemote Sensing EvaluationRSEI Indices |
| spellingShingle | Xingbang Wang Yanyun Nian Haiyuan Wang Jie Chen Kegong Li Tianming Hu Zhiming Li Monitoring of ecological environment changes in open-pit mines on the Loess Plateau from 1990 to 2023 based on RSEI Ecological Indicators Loess Plateau Open-pit Mines Long-term Monitoring Remote Sensing Evaluation RSEI Indices |
| title | Monitoring of ecological environment changes in open-pit mines on the Loess Plateau from 1990 to 2023 based on RSEI |
| title_full | Monitoring of ecological environment changes in open-pit mines on the Loess Plateau from 1990 to 2023 based on RSEI |
| title_fullStr | Monitoring of ecological environment changes in open-pit mines on the Loess Plateau from 1990 to 2023 based on RSEI |
| title_full_unstemmed | Monitoring of ecological environment changes in open-pit mines on the Loess Plateau from 1990 to 2023 based on RSEI |
| title_short | Monitoring of ecological environment changes in open-pit mines on the Loess Plateau from 1990 to 2023 based on RSEI |
| title_sort | monitoring of ecological environment changes in open pit mines on the loess plateau from 1990 to 2023 based on rsei |
| topic | Loess Plateau Open-pit Mines Long-term Monitoring Remote Sensing Evaluation RSEI Indices |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X24015218 |
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