基于InSAR的宁夏黄土丘陵区(西吉县)滑坡隐患早期识别  

Identification of Potential Landslides in the Loess Hilly Area(Xiji County)of Ningxia with InSAR Technology

作　　者：陈思名 霍艾迪[1,2,3] 张佳 赵志欣 陈四宾 陈建 CHEN Si-ming;HUO Ai-di;ZHANG Jia;ZHAO Zhi-xin;CHEN Si-bin;CHEN Jian(School of Water and Environment, Chang'an University, Xi'an 710054, China;Key Laboratory of Subsurface Hydrology and Ecological Effects in the Arid Region Ministry of Education, Chang'an University, Xi'an 710054, China;State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, CAS, Xi'an 710054, China;Ningxia Institute of Survey and Monitoring of Land and Resources, Yinchuan 750004, China;School of Environmental Studies, China University of Geosciences, Wuhan 430000, China)

机构地区：[1]长安大学水利与环境学院,西安710054 [2]长安大学旱区地下水文与生态效应教育部重点实验室,西安710054 [3]中国科学院地球环境研究所黄土与第四纪地质国家重点实验室,西安710054 [4]宁夏回族自治区国土资源调查监测院,银川750004 [5]中国地质大学(武汉)环境学院,武汉430000

出　　处：《科学技术与工程》2022年第12期4721-4728,共8页Science Technology and Engineering

基　　金：国家自然科学基金面上项目(41877232);黄土与第四纪地质国家重点实验室开放基金(SKLLQG1909);宁夏自然科学基金(2021AAC03429,2021AAC03426,2020AAC03476)。

摘　　要：滑坡灾害突发性强,隐蔽性高,传统的排查手段已无法满足新形势下摸清地质灾害风险隐患底数的要求。随着雷达观测数据精度与质量的发展,合成孔径雷达干涉测量(interferometric synthetic aperture radar,InSAR)成为监测地表变化的有效手段。利用InSAR技术对宁夏黄土丘陵区固原市西吉县进行面状监测,获取了2019年12月25日—2020年1月18日内的形变结果,结合光学遥感影像目视解译对潜在滑坡隐患进行综合遥感识别,共识别出8处隐患点,经实地核查验证,与实际情况吻合。结果表明:InSAR技术在该地区具有很好的适用性,可为当地防灾减灾行动提供数据参考,并为黄土丘陵区滑坡隐患早期识别提供方法借鉴。Landslide disaster is characterized by strong abruptness and high concealment.The traditional investigation methods cannot meet the requirements of finding out the hidden dangers of geological disasters under the new situation.With the development of the accuracy and quality of radar observation data,interferometric synthetic aperture radar(InSAR)has become an effective means to monitor surface deformation.The InSAR technology was used to identify the potential landslide hazards in loess gully hill area of Xiji county,Guyuan City,Ningxia,and the deformation results from December 25,2019 to January 18,2020 were obtained.Combined with the visual interpretation of optical remote sensing images,the potential landslide hazards are comprehensively identified by remote sensing,and a total of 8 hidden danger points are identified.After field verification,it is consistent with the actual situation.The research results show that InSAR technology has good applicability in this area,which can provide data reference for local disaster prevention and reduction actions,and provided method reference for early identification of landslide hazards in loess hilly area.

关 键 词：差分干涉测量(D-InSAR) 宁夏黄土丘陵区 形变监测 滑坡 早期识别 

分 类 号：P228[天文地球—大地测量学与测量工程]