摘要
地表形变是矿业城市地质灾害的重要诱因和表现形式。本文以典型矿业城市焦作市为例,采用SBAS-InSAR方法,构建了密集时序地表形变SAR数据集,提取了地表抬升或沉降速率的时间序列。结果表明,该典型矿业城市总体沉降趋势为以东北部地表沉降最为明显,最大抬升速率为51.20 mm/a,最大沉降速率为76.46 mm/a,平均沉降速率为1.45 mm/a,且监测到地面沉降分布主要位于煤矿采空区。本文方法为矿业城市大范围地面沉降监测提供了参考。
Surface deformation is an important inducement and manifestation of geological disasters in mining cities.Taking Jiaozuo,a typical mining city as an example,this paper uses the SABS-InSAR method to construct a dense time series surface deformation SAR data set,and extracts the time series of the surface uplift or subsidence rate.The results show that the overall subsidence trend of this typical mining city is most obvious in the northeast of the surface subsidence,the maximum uplift rate is 51.20 mm/a,the maximum subsidence rate is 76.46 mm/a,and the average subsidence rate is 1.45 mm/a.Moreover,the distribution of ground subsidence is mainly located in the goaf area of coal mines,which provides a reference for the monitoring of large-scale ground subsidence in mining cities.
作者
兰进京
曲逸穹
都伟冰
高鑫
马丹丹
郑岩超
LAN Jinjing;QU Yiqiong;DU Weibing;GAO Xin;MA Dandan;ZHENG Yanchao(School of Surveying and Land Information Engineering,Henan Polytechnic University,Jiaozuo 454003,China;No.2 Institute of Geological&Mineral Resources Survey of Henan,Zhengzhou 450001,China;Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,Urumqi 830011,China)
出处
《测绘通报》
CSCD
北大核心
2022年第6期98-103,共6页
Bulletin of Surveying and Mapping
基金
国家自然科学基金(41975036,42075132,41601364,2041004)
智慧中原地理信息技术协同创新中心项目(2020C002)
中央级公益性科研院所基本科研业务费专项(HKY-JBYW-2018-03)
教育部协同育人项目基于PIE的遥感信息智能提取课程群建设。
