欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
针对矿区地表形变同时存在地面塌陷及地面沉降的情况,结合InSAR监测本身的特点,本文以永城市为例,选用2014年10月至2015年4月7景Radarsat-2 SAR图像,提出利用D-InSAR联合SBAS技术开展矿区地表形变监测,即利用D-InSAR监测矿区地面塌陷状况,SBAS监测矿区地面沉降状况。通过实地调查并结合永城市矿业开采、地质构造、地下水以及城市建设等资料认为,矿业活动不仅给开采面附近造成严重的地面塌陷,还造成了区域性的地面沉降现象。监测结果表明：联合利用D-InSAR和SBAS两种技术适合在矿区开展地表形变监测。
英文摘要：
Aiming at the mining area surface deformation both have ground collapse and ground subsidence,combining InSAR monitoring features,taking Yongcheng City as an example,choosing seven radarsat- 2 SAR images that were taken by October 2014 to April2015,We propose use D- InSAR combined with SBAS technology to monitor surface deformation in mining area. Namely,using D-InSAR to monitor the condition of ground collapse in mining area,SBAS to monitor the condition of the land subsidence in mining area. Through field investigation combined with Yongcheng City mining,groundwater and the urban construction data. It is concluded that,the mining activities not only caused severe ground subsidence in the vicinity of the mining face,also caused the regional land subsidence phenomenon. Monitoring results show that the combined use of two technologies of D- InSAR and SBAS are suitable for the development of surface deformation monitoring in the mining area.
同期刊论文项目
同项目期刊论文
Joint Robust Estimation of Unknown Parameters and Variance Components Based on Expectation-Maximizat
期刊信息
位置：