Earth Science Frontiers ›› 2021, Vol. 28 ›› Issue (4): 131-141.DOI: 10.13745/j.esf.sf.2020.10.16

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Ecological evaluation of the Tongling pyrite mining district in Anhui Province

JIA Han1,2(), LIU Junxing1,2,*(), YIN Xianyang1,2, WANG Chunguang1,2, GENG Hao1,2, CHI Haoxuan1, TANG Shijie1   

  1. 1. Geology Institute of China Chemical Geology and Mine Bureau, Beijing 100101, China
    2. Technology Innovation Center for Ecological Restoration in Mining Area, Ministry of Natural Resources, Beijing 100083, China
  • Received:2020-09-29 Revised:2020-11-22 Online:2021-07-25 Published:2021-07-25
  • Contact: LIU Junxing

Abstract:

The Tongling area of Anhui Province is a typical pyrite mining district in China. Long-term mining in several pyrite mines in the research area, including the Xinqiao pyrite mine, has greatly damaged the local ecological environment. Ecological evaluation of the Tongling area can provide a basis for mine restoration. Based on data analysis and field investigation, we constructed 20 evaluation indexes for the four influential elements: geoenvironmental background, mine development, geoenvironmental setback, and geohazard. We used the analytical hierarchy process (AHP) to determine the weight value of each element and index layers. On this basis, the geoenvironement of mine is evaluated by fuzzy comprehensive evaluation, and the evaluation scores were compared and verified by grid interpolation using ArcGIS. The resulting weight values of the four elements were 0.10, 0.14, 0.37, and 0.39, respectively. The primary judgment of second level fuzzy comprehensive evaluation indicates geoenvironmental setback has greater influence on the geoenvironment of mine in the research area, most prominently from soil and water pollutions; while the first level evaluation shows the geoenvironment of the study area is generally good. By grid interpolation assessment, the extent of mining-induced geoenvionmental impact on the study area can be classified as extreme, moderate and mild, representing 4.62%, 32.04% and 63.34% of the study area, respectively. The fuzzy comprehensive evaluation and grid interpolation yielded similar results, whereas AHP and fuzzy comprehensive evaluation are more applicable to the pyrite mining district. The evaluation results can provide a basis for the geoenvironmental protection and governance in local mining areas.

Key words: Tongling, pyrite mining district, AHP, fuzzy mathematics, geoenvironmental evaluation of mines

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