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作 者:张秀琴 ZHANG Xiu-qin(The second Institute of Geology and mineral exploration,Gansu Bureau of Geology and mineral resources,Lanzhou 730020,China)
机构地区:[1]甘肃省地矿局第二地质矿产勘查院
出 处:《世界有色金属》2019年第23期284-284,286,共2页World Nonferrous Metals
摘 要:针对传统方法评估误差率较大的问题,为此提出矿山水工环地质灾害风险预警评估技术研究。根据矿山水工环地质灾害特征选取了地下水水位、地下水水量、地下水水压作为评价因子,然后对评价因子进行信息量化,并建立了相应的评估矩阵,最后通过粒子群方法对矩阵进行求解,并在评语集中选择相对应的评语进行输出,以此实现了矿山水工环地质灾害风险预警评估。经实验证明,该方法具有较低的评价误差。In view of the large error rate of the traditional methods,this paper puts forward the research on the risk early warning and assessment technology of mine hydraulic environment geological hazards.According to the characteristics of mine hydraulic environment geological disaster,groundwater level,groundwater quantity and groundwater pressure are selected as evaluation factors,and then the information of evaluation factors is quantified,and the corresponding evaluation matrix is established.Finally,the matrix is solved by particle swarm optimization method,and the corresponding comments are selected in the comment set for output,so as to realize the mine hydraulic environment geological disaster Risk early warning assessment.The experimental results show that the method has low evaluation error.
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