摘要
Abstract
This study focuses on the risk assessment method of geological hazards in mines,and proposes an innovative assessment system combined with ecological restoration technology.By constructing a multidimensional indicator system that integrates geological environment,ecological restoration effects,and socio-economic factors,a comprehensive assessment of mining geological hazard risks has been achieved.Using a mining area in Hebei Province as a case study,a machine learning based evaluation model was constructed by collecting data through remote sensing image interpretation,on-site investigation,and data mining methods.The results show that this method can effectively identify high-risk areas,provide scientific basis for formulating targeted prevention and control measures,and promote the prevention and control of geological disasters and ecological restoration in mines.关键词
矿山地质灾害/生态修复/危险性评估/指标体系Key words
Mining geological hazards/Ecological restoration/Risk assessment/Indicator system分类
矿山工程
