JOURNAL ARTICLE

Mining Rights Setting of Open-Pit Coal Mines Based on Gis and Environmental Impacts in Arid Areas.

  • Published In: Journal of Resources & Ecology, 2023, v. 14, n. 4. P. 717 1 of 3

  • Database: The Belt and Road Initiative Reference Source 2 of 3

  • Authored By: Xianfeng, Ai; Changqing, Shi; Jianying, Yang; Yanqing, Zhang 3 of 3

Abstract

With the increasing proportion of open-pit coal mining in the coal mining industry in China, a series of potential safety hazards, environmental pollution, ecological damage and other problems caused by open-pit coal mining have attracted a great deal of attention. Scientifically determining the appropriate mining right scope of an open-pit coal mine can prevent various problems caused by coal mining from the source. In this study, according to the characteristics of open-pit coal mining and the environmental characteristics in arid areas, 15 indicators were selected and their weights were determined from the three perspectives of geological environment, social environment and ecological environment by using the AHP. Based on the spatial analysis function of ArcGIS, a digital evaluation model was established for the corresponding influencing factors, and a comprehensive evaluation model for setting the mining right range was constructed by superimposing the weights. Finally, four mining areas were identified within the study area in Wuhai, Inner Mongolia, and their ecological values were calculated to determine the mining area with the lowest ecological impact. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Resources & Ecology. 2023/07, Vol. 14, Issue 4, p717
  • Document Type:Article
  • Subject Area:Mining and Mineral Resources
  • Publication Date:2023
  • ISSN:1674-764X
  • DOI:10.5814/j.issn.1674-764x.2023.04.004
  • Accession Number:164983794
  • Copyright Statement:Copyright of Journal of Resources & Ecology is the property of Journal of Resources & Ecology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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