时序InSAR技术在三峡库区特高压输电通道滑坡隐患识别的应用

doi:10.13474/j.cnki.11-2246.2023.0047

测绘通报 ›› 2023, Vol. 0 ›› Issue (2): 97-103.doi: 10.13474/j.cnki.11-2246.2023.0047

时序InSAR技术在三峡库区特高压输电通道滑坡隐患识别的应用

张领旗^1,2,3, 谢酬⁴, 陈蜜^1,2,3, 田帮森⁴, 杨知⁵, 朱玉⁴

1. 首都师范大学城市环境过程与数字模拟国家重点实验室培育基地, 北京 100048;
2. 首都师范大学三维信息获取与应用教育部重点实验室, 北京 100048;
3. 首都师范大学水资源安全北京实验室, 北京 100048;
4. 中国科学院空天信息创新研究院, 北京 100094;
5. 中国电力科学研究院有限公司, 北京 100192

收稿日期:2022-04-29 发布日期:2023-03-01
通讯作者: 谢酬。E-mail:xiechou@aircas.ac.cn
作者简介:张领旗(1997-),女,硕士,研究方向为InSAR形变监测。E-mail:2864359830@qq.com
基金资助:
国家重点研发计划(2017YFB0503803; 2018YFC0809402)

Identification of hidden dangers of landslides in UHV transmission channels in the Three Gorges Reservoir Area based on time series InSAR

ZHANG Lingqi^1,2,3, XIE Chou⁴, CHEN Mi^1,2,3, TIAN Bangsen⁴, YANG Zhi⁵, ZHU Yu⁴

1. Base of State Key Lab of Urban Environmental Processes and Digital Modeling, Capital Normal University, Beijing 100048, China;
2. Key Lab of 3D Information Acquisition and Application, Capital Normal University, Beijing 100048, China;
3. Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China;
4. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China;
5. China Electric Power Research Institute, Beijing 100192, China

Received:2022-04-29 Published:2023-03-01

摘要/Abstract

摘要： 位于三峡库区的特高压输电线路是我国电力供应的重要一环,由于三峡库区以滑坡为主的地质灾害频发,严重威胁了特高压输电线路的安全,因此滑坡的监测和识别对特高压输电线路的安全运行尤为重要。针对三峡库区复杂的地形和气候条件,本文提出自适应优化构网的方法,并应用于时序InSAR处理流程,对三峡库区万州-巴东的84景Sentinel-1数据进行处理,实现特高压输电通道的地表形变监测。使用同步观测的北斗卫星导航系统观测数据和金鸡岭滑坡的实地考察数据,验证了时序InSAR监测结果的可靠性。根据时序InSAR的监测结果,在输电通道内识别出8处明显的滑坡隐患,进一步对监测的金鸡岭滑坡时间序列形变进行分析,发现该滑坡的形变特征与降雨、库水位和工程扰动有一定的关联。

关键词: 时序InSAR, 三峡库区, 特高压输电通道, 滑坡监测

Abstract: The ultra high voltage(UHV) transmission line located in the Three Gorges Reservoir Area is an important part of China's power supply, but geological disasters such as landslides in the Three Gorges Reservoir Area occur frequently, which seriously threaten the safety of UHV transmission line. Therefore, the monitoring and identification of landslides are particularly important for the safe operation of UHV transmission lines. Due to the complex terrain and climate conditions in the Three Gorges Reservoir Area, this paper proposes an adaptive optimization network construction method and applies it to the process of time series interferometric synthetic aperture radar (InSAR) technology, and 84 Sentinel-1 images from Wanzhou-Badong in the Three Gorges Reservoir Area are processed to achieve surface deformation monitoring of UHV transmission channels. The reliability of the time series InSAR monitoring results are verified by the measurement data of the BeiDou Navigation Satellite System and the field investigation data of the Jinjiling landslide. According to the time series InSAR measurements, 8 obvious landslide hazards are identified in the UHV transmission channel. Further analysis of the time series deformation of the monitored Jinjiling landslide shows that the deformation characteristics of the landslide are related to rainfall, reservoir water level and engineering disturbance.

Key words: time series InSAR, Three Gorges Reservoir Area, UHV transmission channel, landslide monitoring

中图分类号:

张领旗, 谢酬, 陈蜜, 田帮森, 杨知, 朱玉. 时序InSAR技术在三峡库区特高压输电通道滑坡隐患识别的应用[J]. 测绘通报, 2023, 0(2): 97-103.

ZHANG Lingqi, XIE Chou, CHEN Mi, TIAN Bangsen, YANG Zhi, ZHU Yu. Identification of hidden dangers of landslides in UHV transmission channels in the Three Gorges Reservoir Area based on time series InSAR[J]. Bulletin of Surveying and Mapping, 2023, 0(2): 97-103.

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时序InSAR技术在三峡库区特高压输电通道滑坡隐患识别的应用

Identification of hidden dangers of landslides in UHV transmission channels in the Three Gorges Reservoir Area based on time series InSAR

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