首页 | 本学科首页   官方微博 | 高级检索  
     检索      

运城市地面沉降SBAS-InSAR监测和敏感性GIS分析
作者姓名:张静  张勤  曲菲霏
作者单位:1. 长安大学地质工程与测绘学院,西安,710054
2. 长安大学地质工程与测绘学院,西安710054/西部矿产资源与地质工程教育部重点实验室,西安710054
基金项目:国家自然科学基金资助项目,国土资源部地质大调查项目
摘    要:以地裂缝分布密集的运城市典型地面沉降区为研究区,采用小基线SBAS-DInSAR算法,利用覆盖该区域的8幅ASAR影像进行干涉处理,获得该区域地面沉降信息,初步揭示了研究区地面沉降的空间分布特征。在此基础上,搜集利用研究区地质资料,结合GIS空间分析方法,分析了断层、地裂缝等构造因素与地面沉降的关系,建立了研究区地面沉降灾害敏感性分区图,对该区域地面沉降地裂缝灾害的防治工作具有指导作用。

关 键 词:地面沉降监测  SBAS-InSAR技术  敏感性分析  地质灾害防治

Monitoring Land Subsistence Using SBAS-InSAR and GIS to Conduct Sensitivity Analysis in Yuncheng
Authors:ZHANG Jing  ZHANG Qin  QU Fei-Fei
Institution:1.College of Geology Engineering and Geomatics,Chang'an University,Xi'an 710054,China; 2.Key Laboratory of Western China's Mineral Resources and Geological Engineering,Ministry of Education,Xi'an 710054,China)
Abstract:The city of Yuncheng,located in the Shanxi Graben basin,has suffered large-scale land subsidence and ground fissures,which have seriously constrained urban construction and sustainable economic development of the area.In this paper,the Small Baseline Subset Interferometer Synthetic Aperture Radar(SBAS-InSAR) technique is used to detect and measure ground movement in the area using eight ASAR images.The detailed deformation data obtained by this study revealed the spatial distribution and characteristics of the subsidence.Based on this,GIS was used to show the relationship between subsidence and tectonic factors such as faults and ground fissures,which were determined using previously collected geological data.As a result,the sensitivity index of the study area was determined using the BP neural network method,and the sensitivity level of land subsidence was analyzed using the dimensional analytical method.The results in this paper demonstrate a very powerful conclusion and will contribute to the prevention and mitigation of land subsidence disasters in this region.
Keywords:land subsidence monitoring  SBAS-InSAR  sensitivity analysis  geological hazard control
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号