黑龙江科技大学学报2024，Vol.34Issue(4)：531-536,6.DOI:10.3969/j.issn.2095-7262.2024.04.006
基于时序InSAR技术的采空塌陷易发性评价
Susceptibility assessment of goaf collapse based on time-series InSAR technology
摘要
Abstract
This paper aims to address the deformation and failure problem in goafcollapse area in Yi-ma City.The study is performed by conducting the remote sensing interpretation of Sentinel-1A data from 2018 to 2021 by using time-series InSAR technology to obtain the distribution of the collapse ground in Yima City,selecting the evaluation factors correlated strongly with goafcollapse on the basis of the analy-sis of the hazard factors,constructing the evaluation index system of goafcollapse susceptibility of Yima City;detemining the weights of each factor by AHP,and conducting the goafcollapse susceptibility as-sessment with weighted composite index method in Yima City.The result shows that the accuracy of ROC curve for mining subsidence susceptibility assessment in coal mining area is 0.82,which indicates that the combination of land subsidence data obtained by remote sensing interpretation and calculating with mathematical model can effectively evaluate the mining subsidence susceptibility.关键词
InSAR监测数据/采空塌陷/易发性评价Key words
InSAR monitoring data/goaf collapse/susceptibility assessment分类
天文与地球科学引用本文复制引用
丁丽,宋鹏飞,丁超..基于时序InSAR技术的采空塌陷易发性评价[J].黑龙江科技大学学报,2024,34(4):531-536,6.基金项目
中央财政自然灾害防治体系建设补助资金项目(2021410036) （2021410036）
