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基于小基线集合成孔径雷达干涉测量技术(SBAS-InSAR)的九寨沟地震后潜在滑坡识别与形变分析

Identification and deformation analysis of potential landslides after the Jiuzhaigou earthquake by SBAS-InSAR.

作者信息

Chang Ming, Sun Wenjing, Xu Hengzhi, Tang Liangliang

机构信息

State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, 610059, China.

出版信息

Environ Sci Pollut Res Int. 2023 Mar;30(13):39093-39106. doi: 10.1007/s11356-022-25055-5. Epub 2023 Jan 3.

DOI:10.1007/s11356-022-25055-5
PMID:36595168
Abstract

A World Natural Heritage Site, Jiuzhaigou, is the first nature reserve in China whose primary purpose is to protect natural scenery. On August 8, 2017, a M 7.0 earthquake caused many unstable slopes in Jiuzhaigou, Sichuan Province, China. In the extreme storm conditions that follow, the unstable slopes tend to develop into potential landslides, which can cause many casualties and property losses in scenic areas. Sentinel-1A ascending orbit data were obtained in this paper to establish a SAR database. The large-scale deformation rate map of the study area was obtained using a small baseline set InSAR technology. The potential landslides in the deformation area are preliminarily confirmed with remote sensing interpretation. The field verification is further carried out by studying the deformation information of the characteristic points on the potential landslides. The results show that 13 deformation zones were preliminarily identified, and three typical deformation zones were selected for coupling verification and identified as potential landslides. At the same time, further analysis shows that the four potential landslides have been in continuous linear deformation for a long time since the earthquake, posing a severe threat to the safety of local people's lives and property. The research results provide a reference for the early identification and warning of potential landslides in earthquake-prone regions.

摘要

世界自然遗产地九寨沟是中国第一个以保护自然风景为主要目的的自然保护区。2017年8月8日,一场7.0级地震导致中国四川省九寨沟出现许多不稳定斜坡。在随后的极端暴雨条件下,这些不稳定斜坡容易发展成潜在滑坡,可能在景区造成众多人员伤亡和财产损失。本文获取了哨兵-1A升轨数据以建立一个合成孔径雷达(SAR)数据库。利用小基线集合成孔径雷达干涉测量(InSAR)技术获取了研究区域的大规模变形速率图。通过遥感解译初步确定了变形区域内的潜在滑坡。通过研究潜在滑坡上特征点的变形信息进一步进行实地验证。结果表明,初步识别出13个变形区,选取其中3个典型变形区进行耦合验证并确定为潜在滑坡。同时,进一步分析表明,这4处潜在滑坡自地震发生以来长期处于持续线性变形状态,对当地人民生命财产安全构成严重威胁。研究结果为地震易发地区潜在滑坡的早期识别与预警提供了参考。

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