Tailings Dam Disaster Risk Assessment Based on Big Data Theory
Taking the actual project as background,the risk assessment index system of tailings dam is established by combining the case of tailings dam break accident and the"Safety Regulations of Tailings Pond"(GB 3946-2020).The weight of the secondary index in the risk index system of tailings dam is deter-mined according to the entropy weight method.Through systematic research and analysis,it is determined that the dam body instability and flood overtopping account for the largest weight,followed by seepage failure and safety management.For the three-level indicators in the index system,the control variable method is used to obtain the change relationship between each indicator and the safety factor through big data simula-tion calculation,and the fitting and reverse analysis are carried out to determine the weight of the third index-es.Through the comprehensive calculation and systematic analysis of the weights of the second and third in-dexes,it is concluded that the weight ratio of the external slope and the bulk density of the dam body are larg-er,followed by the catchment area,the length of the dry beach and the buried depth of the infiltration line.
tailings pondbig data theoryentropy weight methodrisk assessment
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