基于灰色和模糊综合评价法的矿山地质环境评价:以萍乡市湘东镇地区为例

    Mine geological environment evaluation based on grey and fuzzy comprehensive evaluation:taking Xiangdong Town area of Pingxiang City as an example

    • 摘要: 萍乡市湘东镇地区是我国典型的矿产集中开采区,研究区内湘东黄堂煤矿、麻山大金坡煤矿等数座矿山的长期开采造成了生态环境破坏。为了在湘东镇地区可持续规划中针对影响等级分布的区域分别采取适当的措施提供重要应用价值,本文通过运用多源遥感手段,综合调查研究萍乡市湘东镇地区矿山地质环境问题,选取地形地貌、植被覆盖率、矿山开采方式、地形地貌景观破坏、矿山环境污染等10个对该区环境具有直接影响的评价因子,建立一套适合该区的矿山地质环境影响综合评价体系,采用应用价值广泛的灰色综合模型和模糊综合模型两种评价方法对湘东镇地区矿山地质环境影响进行综合评价,结果基本一致,湘东镇地区矿山环境严重影响区及较严重影响区分布在该区北部及中部采石场区域,南部及东部的巨源、大金坡、上官岭、青山等煤矿区域。通过对两种评价方法的比较,灰色综合评价法得到的评价结果更为优化。

       

      Abstract: Xiangdong Town area in Pingxiang City is a typical mining area in China.Long-term mining in several mines in the study area, including Huangtang Coal Mine and Dajinpo Coal Mine in Mashan, has caused damage to the ecological environment.To provide an important application value for the sustainable planning of the district to take appropriate measures for the areas with the distribution of impact levels.This paper using multi-source remote sensing methods to comprehensively investigate and study the mine geological environment in Xiangdong Town area, selecting 10 evaluation factors that have a direct impact on the environment of the research area, including terrain landform, vegetation coverage, mine mining method, topographic landform landscape destruction, mining environmental pollution, etc, and establishing a comprehensive evaluation system of mine geological environmental impact suitable for this area.Two evaluation methods, which are widely used gray comprehensive model and fuzzy comprehensive model, are used to comprehensively evaluate the mine geological environment impact in the Xiangdong Town area.The results are basically consistent.The study area mine environmental influence difference and the poor area are distributed in the quarry mine area in the north and middle of the study area, and the coal mining areas such as Juyuan, Dajinpo, Shangguanling and Qingshan in the south and east.Through the comparison of the two evaluation methods, the evaluation results of the gray comprehensive evaluation method are more optimized.

       

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