洛卢高速杨庄大桥滑坡灾害的SBAS-InSAR识别及成因分析
Identification and Cause Analysis of Landslide of Yangzhuang Bridge of Luolu Exprassway Based on SBAS-InSAR
耿浩然 1李优 2黄勇博 1任旭 1万战胜1
作者信息
- 1. 河南省交通规划设计研究院股份有限公司,河南 郑州 450000
- 2. 河南榷飞建筑工程有限公司,河南 郑州,450000
- 折叠
摘要
[目的]受持续强降雨影响,河南省洛宁县境内洛卢高速杨庄大桥桥尾锥坡于2021年7月失稳滑塌,严重威胁道路交通运输安全,亟须查明滑坡的形变区和形变规律,为防治工程和灾害预警提供依据.[方法]利用SBAS-InSAR技术对覆盖杨庄大桥的54幅升轨SAR影像数据进行干涉处理,结合滑坡的地质特征和降雨量数据分析滑坡形变趋势.[结果]结果表明:滑坡下部形变较上部强烈,整体形变表现为负值沉降,形变最大可达-33.67 mm;滑坡发育状态与降雨量有较好的对应关系,降雨量增加,形变增长越明显;监测后期,P1～P6形变特征点时序位移曲线保持较好的收敛,说明滑坡修复加固治理工程发挥了一定的抗滑作用.[结论]SBAS-InSAR技术在滑坡变形监测领域中具有高度可行性,对滑坡防灾减灾具有重要的现实意义.
Abstract
[Purposes]Affected by sustained heavy rainfall,the tail cone slope of the Yangzhuang Bridge of on the Luolu Expressway in Luoning County,Henan Province collapsed in July 2021,posing a serious threat to road traffic safety.It is urgent to find out the deformation area and deformation rule of landslide,providing a basis for prevention and control engineering and disaster warning.[Methods]Therefore,the SBAS-InSAR technology was used to process the 54 ascending orbit SAR images covering the Yang-zhuang Bridge,and the landslide deformation trend was analyzed by the geological characteristics and rainfall data.[Findings]The results show that the lower part of the landslide deformation is stronger than upper part,and the overall deformation shows negative settlement,with a maximum deformation variable of-33.67 mm.Landslide development status has good corresponding relation with rainfall,when the rain-fall increases,the deformation increases more obviously.In the later stage of monitoring,the temporal displacement curve of deformation feature points from P1～P6 maintained good convergence,indicating that the landslide repair and reinforcement project played a certain role in anti-sliding.[Conclusions]SBAS-InSAR technology is highly feasible in the field of landslide deformation monitoring and has im-portant practical significance for landslide disaster prevention and reduction.
关键词
滑坡/SBAS-InSAR/时序位移/形变速率/降雨量Key words
landslide/SBAS-InSAR/temporal displacement/deformation rate/rainfall引用本文复制引用
出版年
2024
NETL
NSTL
万方数据