Environmental assessments in dense mining areas using remote sensing information over Qian?an and Qianxi regions China
文献类型：期刊论文
| 作者 | Song, Wen1,2,3; Gu, Hai-Hong1,4,5,6; Song, Wei2; Li, Fu-Ping1,4,5,6; Cheng, Shao-Ping1; Zhang, Yi-Xuan1; Ai, Yan-Jun1 |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2023-02-01 |
| 卷号 | 146页码:13 |
| 关键词 | Iron -mine -remote sensing ecological index (IM RSEI) Dense mining area Factor analysis Ecological changes |
| ISSN号 | 1470-160X |
| DOI | 10.1016/j.ecolind.2022.109814 |
| 通讯作者 | Gu, Hai-Hong(haihonggu1982@hotmail.com) |
| 英文摘要 | Dense mining areas are regions with relatively concentrated mining enterprises or occupied land, which are also regions with intense economic and resource development conflicts and environmental protection. However, ecological assessments by remotely sensed technology do not consider the characteristics of mining areas. To fill the knowledge gap, we employed seven indexes, i.e., fractional vegetation cover, greenness above bare soil, wetness, black particulates, land surface temperature, iron oxides, and the landscape fragmentation index, to construct the iron mine remote sensing-based ecological index (IM-RSEI) by Landsat data. We chose Qian'an City and Qianxi County in Tangshan City, China, as the study area where iron ore-related industries are concentrated. The results showed that the ecological environment generally deteriorated first and then improved that the IM-RSEI values for 1992, 2000, 2009, and 2018 were 0.5102, 0.4776, 0.4882, and 0.5001, respectively. The mean IM-RSEI values for the dense mining area and surrounding multi-gradient buffer zones, from near to far, were 0.5412, 0.5146, 0.5076, 0.4756, and 0.4563, implying that mining activities endangered the surrounding ecological quality. This study assessed the ecological environment in dense mining areas from multiple per-spectives by remote sensing technology. The research conclusions can provide a reference for pollution control during mining development in Qian'an, Qianxi, and similar mining areas. |
| WOS关键词 | SUSTAINABLE DEVELOPMENT ; QUALITY ; IMAGERY ; CITY ; SOIL |
| 资助项目 | Key Project of Science and Technology Commission Foundation of Hebei Province, China[19224204D] ; Natural Science Foundation of Hebei Province, China[E2021209152] ; Natural Science Foundation of Hebei Province, China[E2015209300] ; Educational Commission of Hebei Province, China[BJ2014029] ; Scientific and Technological Research Foundation for the Selected Returned Overseas Chinese Scholars, Department of Human Resources and Social Security of Hebei, China[CL201633] ; Science and Technology Planning Key Project of Tangshan, China[19150247E] ; Fostering Project for Science and Technology Research and Development Platform of Tangshan, China[2020TS003b] |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000909728500001 |
| 出版者 | ELSEVIER |
| 资助机构 | Key Project of Science and Technology Commission Foundation of Hebei Province, China ; Natural Science Foundation of Hebei Province, China ; Educational Commission of Hebei Province, China ; Scientific and Technological Research Foundation for the Selected Returned Overseas Chinese Scholars, Department of Human Resources and Social Security of Hebei, China ; Science and Technology Planning Key Project of Tangshan, China ; Fostering Project for Science and Technology Research and Development Platform of Tangshan, China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/189178]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Gu, Hai-Hong |
| 作者单位 | 1.North China Univ Sci & Technol, Coll Min Engn, Tangshan 063210, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 3.Beijing Univ Civil Engn & Architecture, Sch Geomat & Urban Spatial Informat, Beijing 100044, Peoples R China 4.Hebei Key Lab Min Dev & Secur Technol, Tangshan 063210, Peoples R China 5.Tangshan Key Lab Resources & Environm Remote Sensi, Tangshan 063210, Peoples R China 6.Hebei Ind Technol Inst Mine Ecol Remediat, Tangshan 063210, Peoples R China |
| 推荐引用方式 GB/T 7714 | Song, Wen,Gu, Hai-Hong,Song, Wei,et al. Environmental assessments in dense mining areas using remote sensing information over Qian?an and Qianxi regions China[J]. ECOLOGICAL INDICATORS,2023,146:13. |
| APA | Song, Wen.,Gu, Hai-Hong.,Song, Wei.,Li, Fu-Ping.,Cheng, Shao-Ping.,...&Ai, Yan-Jun.(2023).Environmental assessments in dense mining areas using remote sensing information over Qian?an and Qianxi regions China.ECOLOGICAL INDICATORS,146,13. |
| MLA | Song, Wen,et al."Environmental assessments in dense mining areas using remote sensing information over Qian?an and Qianxi regions China".ECOLOGICAL INDICATORS 146(2023):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
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