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2021, 02, v.6 26-35
基于层次分析-模糊综合模型的矿山地质生态环境评价研究
基金项目(Foundation): 甘肃省国土资源厅“甘肃省矿山地质环境详细调查”(甘国土资环发[2017] 192号); 甘肃省地质灾害应急中心项目(甘地应任[2018] 02)
邮箱(Email):
DOI: 10.19478/j.cnki.2096-2347.2021.02.04
摘要:

针对西北生态脆弱区的矿山地质生态环境,综合考虑其现状和演变趋势、治理难度及抗干扰能力,应用层次分析法和模糊综合法开展矿山地质生态环境评价研究。结果表明:靖远县105座矿山中,地质生态环境影响严重的矿山13座,占比12.38%;影响较严重的矿山6座,占比5.71%;影响较轻的矿山39座,占比37.14%;影响轻微的矿山47座,占比44.76%。矿山地质生态环境影响中,地质灾害因素影响大。砖瓦黏土矿地质生态环境影响程度分级主要为"轻微"和"较轻";煤矿地质生态环境影响程度分级为"严重";建筑用砂石料及其他矿山地质生态环境影响程度分级主要为"轻微""较轻"和"较严重"。

Abstract:

The analytic hierarchy process and fuzzy synthetic method were used to evaluate the mine geo-ecological environment in the ecologically fragile area of northwest China by considering the status quo and the evolution trend, governance difficulty and anti-interference ability. The results show that the risk of geo-ecological environment was serious for 13 mines, accounting for12.38% of total 105 mines in Jingyuan County; less serious for 6 mines(5.71%); mild for 39 mines(37.14%); and slight for 47 mines(44.76%). The factors of geological disaster have a great influence on the risk evaluation results. The risk of geo-ecological environment was classified mainly as"slight"and "mild" for brick and tile clay mines, as"serious"for coal mines and mainly"slight","mild"and"less serious"for construction stone mines and other mines.

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基本信息:

DOI:10.19478/j.cnki.2096-2347.2021.02.04

中图分类号:X82;TD167

引用信息:

[1]郁文,丁国轩,樊小鹏,等.基于层次分析-模糊综合模型的矿山地质生态环境评价研究[J].三峡生态环境监测,2021,6(02):26-35.DOI:10.19478/j.cnki.2096-2347.2021.02.04.

基金信息:

甘肃省国土资源厅“甘肃省矿山地质环境详细调查”(甘国土资环发[2017] 192号); 甘肃省地质灾害应急中心项目(甘地应任[2018] 02)

发布时间:

2020-09-18

出版时间:

2020-09-18

网络发布时间:

2020-09-18

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