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作 者:陈建明[1] 李云鹏[1] 常玲[1] 关维娜[1] 孙卫东[1] CHEN Jian-ming;LI Yun-peng;CHANG Ling;GUAN Wei-na;SUN Wei-dong(Information Center,Xinjiang bureau of Geology and Mineral Resources,Urumqi 830000,China)
机构地区:[1]新疆维吾尔自治区地质矿产勘查开发局信息中心,新疆乌鲁木齐830000
出 处:《世界有色金属》2022年第2期152-154,共3页World Nonferrous Metals
基 金:中国地质调查局“全国矿山开发状况遥感地质调查与监测”项目(编号:DD20190511),“全国矿山环境恢复治理状况遥感地质调查与监测”项目(编号:DD20190705)。
摘 要:为研究四川省攀西地区2017年矿山地质灾害空间分布特征,本文采用ArcGIS软件,基于核密度分析方法对矿山地质灾害矢量数据进行计算。根据核密度搜索半径的计算方法,确定了最优搜索半径,得到核密度分析结果栅格数据。并结合研究区内矿业开采情况,得出最后结果。研究表明:攀西地区矿山地质灾害以煤矿、铁矿、铜矿、稀土矿开采引发的中型滑坡、泥石流为主;经计算与对比,当核密度搜索半径为10km时,为最优计算结果;通过核密度分析结果可知,攀西地区矿山地质灾害总体分布于金沙江、雅砻江、安宁河沿岸,主要聚集于攀枝花市—会理县和冕宁县—喜德县两个区域。该方法可以更加快捷、可靠地对攀西地区的矿山地质灾害空间分布特征进行直观、科学地描述,从而得到宏观认识,为今后的科学决策做技术支撑。In order to study the spatial distribution characteristics of mining geological disasters in Pan-xi region of Sichuan province in 2017,the vector data of mining geological hazards are calculated based on the method of kernel density using ArcGIS software in this paper.According to the calculation method of kernel density search radius,the optimal search radius is determined,and the raster data of kernel density analysis results are obtained.Combined with the mining situation in the research area,the final results are achieved.The results show that the mining geological hazards in Pan-xi region are mainly medium-sized landslides and debris flows caused by coal,iron ore,copper orc and rare earth mining;by calculation and comparison,when the search radius of kernel density is 10 km,it is the optimal calculation result;according to the results of kernel density analysis,it can be known that the mining geological hazards in Pan-xi region are generally distributed along the Jinsha river,the Yalong river and the Anning river,and mainly concentrated in Panzhihua city-Huili county and Mianning county-Xide county.This method can more quickly and reliably describe the spatial distribution characteristics of mining geological hazards in Pan-xi region intuitively and scientifically,thus obtaining a macroscopic understanding and providing technical support for scientific decision-making in the future.
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