摘要
为了解决矿井突水危险性评价结果模糊性强的问题,提高矿井突水危险性评价的准确性,构建了包含定性与定量主控因素的突水危险性评价指标体系,利用层次分析法(AHP)与熵权法(EWM)组合赋权并结合云模型,构建了突水危险性综合评价云模型。将该模型应用于某金矿的突水危险性评价,结果表明:采样点评价结果模糊性低、可信度高,引用富水指数法并结合实际工程情况与水文地质条件,验证了该模型评价结果的准确性与有效性。该模型可以满足实际工程需求,为矿井水害防治工作提供指导与参考。
In order to solve the problem of strong ambiguity in the evaluation results of mine water inrush risk and improve the accuracy of mine water inrush risk evaluation,the author constructed a water inrush risk evaluation index system including qualitative and quantitative main control factors.Analytic Hierarchy Process(AHP)and Entropy Weighting Method(EWM)combined with weighting and cloud model,constructed a cloud model for comprehensive evaluation of water inrush risk.The model is applied to the water inrush risk assessment of a gold mine.The results show that the evaluation results of sampling points have low ambiguity and high reliability.The model accuracy and validity of the evaluation results are verified by using the water-rich index method combined with the actual engineering conditions and hydrogeological conditions.The model can meet the actual engineering needs and provide guidance and reference for mine water hazard prevention and control.
作者
陈懋
姚锡文
许开立
CHEN Mao;YAO Xiwen;XU Kaili(School of Resources&Civil Engineering,Northeastern University,Shenyang 110819,China)
出处
《有色金属工程》
CAS
北大核心
2022年第11期102-110,共9页
Nonferrous Metals Engineering
基金
国家重点研发计划项目(2021YFC3001300)。
