文献类型：会议论文

英文题名：Prediction and Statistical Analysis of Damaged Land in Coal Mine Goaf

作者：Cheng, Lei[1];Li, Dongdong[1]

第一作者：Cheng, Lei

通讯作者：Li, DD[1]

机构：[1]Henan Univ Econ & Law, Sch Engn Management & Real Estate, Zhengzhou 450046, Peoples R China

第一机构：河南财经政法大学工程管理与房地产学院

通讯机构：[1]corresponding author), Henan Univ Econ & Law, Sch Engn Management & Real Estate, Zhengzhou 450046, Peoples R China.|[1048420]河南财经政法大学工程管理与房地产学院;[10484]河南财经政法大学;

会议论文集：8th International Conference on Hydraulic and Civil Engineering - Deep Space Intelligent Development and Utilization Forum (ICHCE)

会议日期：NOV 25-27, 2022

会议地点：Xian, PEOPLES R CHINA

语种：英文

外文关键词：coal mines; goaf area; damaged area; degree of damage

摘要：The probability integral method was used to quantify area and intensity of damaged land in order to study damaged land in the coal mine goaf. The degree of land damage in the coal mine goaf was predicted by statistical analysis. The land damage area in the coal mine goaf area was calculated by combined coal occurrence status with mining intensity, mining area layout and mining time series data of the mine. The land damage intensity of the coal mine goaf was analyzed by land use status and ground deformation contour of goaf were collected according to the grading standard of land damage. The law of deformation and failure in coal mine goaf were summarized. The degree of land damage in coal mine goaf was predicted. The results show that ground displacement change law of goaf was consistent with inclination rate change and obvious certain continuity distribution law in space. The degree of land damage in each mining area was positively correlated with amount of deformation damage.