安全与环境工程2024,Vol.31Issue(2) :202-212.DOI:10.13578/j.cnki.issn.1671-1556.20230361

联合PS-InSAR和SBAS-InSAR的鄂西山区滑坡隐患识别——以长阳县清江流域为例

Identification of landslide hazards in western Hubei mountainous area by combining PS-InSAR and SBAS-InSAR——Taking Qingjiang River Basin of Changyang County as an example

曾斌 刘诗雅 董琦 袁晶晶 艾东
安全与环境工程2024,Vol.31Issue(2) :202-212.DOI:10.13578/j.cnki.issn.1671-1556.20230361

联合PS-InSAR和SBAS-InSAR的鄂西山区滑坡隐患识别——以长阳县清江流域为例

Identification of landslide hazards in western Hubei mountainous area by combining PS-InSAR and SBAS-InSAR——Taking Qingjiang River Basin of Changyang County as an example

曾斌 1刘诗雅 1董琦 1袁晶晶 2艾东2
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作者信息

  • 1. 中国地质大学(武汉)环境学院,湖北武汉 430078
  • 2. 湖北省地质局第七地质大队,湖北宜昌 443100
  • 折叠

摘要

针对鄂西山区滑坡等灾害频发,而部分地区因为地形陡峭调查困难以及潜在滑坡隐患区的空间分布与未来发展趋势不明的难题,如何利用InSAR技术获取的地表形变数据实现滑坡隐患区早期识别成为滑坡研究的热门方向.利用Sentinel-1A升轨数据,分别基于PS-InSAR和SBAS-InSAR技术获取长阳县清江流域北岸2020年7月至2021年12月的地表形变信息,再将两种方法得到的地表形变信息进行叠加融合,综合考虑研究区的地质背景条件、历史滑坡点以及第四系覆盖层厚度等因素,识别出研究区可能发生滑坡的隐患区,并结合GNSS监测数据对识别结果进行可靠性分析.结果表明:基于PS-InSAR、SBAS-InSAR技术得到的研究区地表形变速率范围分别为-32.03~16.74 mm/a、-53.33~26.94 mm/a,根据自然断点法联合分析两种方法得到的监测结果,最终将研究区地表形变速率划分为5个等级,并识别出研究区有18处滑坡隐患区,总面积为27.58 km2,主要分布在研究区西部招徕河至资丘镇沿清江段;将PS与SBAS两种InSAR技术的解译结果进行融合判译,不仅能够进一步提高滑坡隐患区识别的精度,为区域地质灾害防控提供更加可靠的科学依据,同时也为基于InSAR技术的滑坡隐患区识别提供了新的思路.

Abstract

In view of the frequent occurrence of landslides and other disasters in the mountainous areas of West Hubei,and the difficulty of investigation in some areas due to the steep terrain and the uncertainty of the spatial distribution and future development trend of potential landslide hazardous areas,how to make use of surface deformation data obtained by InSAR technology to realise the early identification of landslide hazardous areas has become a popular direction of landslide research.Using the Sentinel-1A up-orbit data,we obtained the surface deformation information of the north bank of Qingjiang River Basin in Changyang County from July 2020 to December 2021 based on PS-InSAR and SBAS-InSAR techniques,respectively,and then superimposed and fused the surface deformation information obtained by the two methods to iden-tify the possible landslide hazard areas in the study area by taking into consideration of the geological back-ground conditions of the study area,the historical landslide sites,and the thickness of the quaternary over-burden.The potential landslide hazard areas in the study area were identified by considering the geological background conditions,historical landslides and the thickness of the Quaternary overburden,and the relia-bility of the identification results was analysed by combining the GNSS monitoring data.The results are as follows:the surface deformation rate in the study area obtained based on PS-InSAR and SBAS-InSAR tech-niques are from-32.03 to 16.74 mm/a and from-53.33 to 26.94 mm/a,respectively,and based on the natural breakpoint method to jointly analyse the monitoring results obtained by the two methods,the sur-face deformation rate in the study area is finally divided into 5 five grades,and the study area is identified as having 18 potential landslide hazards with a total area of 27.58 km2,mainly distributed in the western part of the study area from Zhaolai River to Ziqiu Town along Qingjiang River.The fusion of the interpretation results of the two InSAR techniques,PS and SBAS,can not only further improve the accuracy of the identi-fication of landslide hazardous areas and provide a more reliable scientific basis for the prevention and con-trol of regional geologic hazards,but also provide a new idea for the identification of landslide hazardous ar-eas based on the InSAR technique.It also provides a new idea for the identification of landslide hazardous areas based on InSAR technology.

关键词

滑坡隐患/早期识别/地表形变监测/PS-InSAR/SBAS-InSAR/长阳县清江流域

Key words

potential landslide hazard/early identification/surface deformation monitoring/PS-InSAR/SBAS-InSAR/Qingjiang River Basin of Changyang County

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基金项目

湖北省地质局第七地质大队科技计划项目(DQKJ2022-1)

出版年

2024
安全与环境工程
中国地质大学

安全与环境工程

CSTPCD北大核心
影响因子:1.03
ISSN:1671-1556
参考文献量21
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