Risk screening of large reservoir bank slopes based on deformation monitoring using InSAR technology-A case study of the Baihetan reservoir bank-Reference-Cited by-同舟云学术

Risk screening of large reservoir bank slopes based on deformation monitoring using InSAR technology-A case study of the Baihetan reservoir bank

Published:2024-01-01 Issue:1 Volume:9 Page:
ISSN:2444-8656
Container-title:Applied Mathematics and Nonlinear Sciences
language:en
Short-container-title:

Author:

Shizheng Wang¹²,Tingxuan Chen¹³,Chen Chen⁴,Anchi Shi¹³,Xiaohui Chen⁴,Liuyuan Zhao¹³

Affiliation:

1. PowerChina Huadong Engineering Corporation Limited , Hangzhou, Zhejiang , , China .

2. Zhejiang Huadong Mapping and Engineering Safety Technology Corporation Limited , Hangzhou, Zhejiang , , China .

3. Zhejiang Huadong Geotechnical Investigation & Design Institute Corporation Limited , Hangzhou, Zhejiang , , China .

4. Beijing Zhongguancun Insititute of Ssfety Science Corporation Limited , Beijing , , China .

Abstract

Abstract The large reservoirs in the southwestern Alpine Canyon region are characterized by long reservoir banks and complex geological structures. The problem of finding the deformation zone quickly and efficiently is urgent and needs to be resolved. In this study, taking the area 110 km upstream of the Baihetan dam site as the study area, the applicability of various interferometric synthetic aperture radar (InSAR) techniques was summarized, and the small baseline subset interferometric synthetic aperture radar (SBAS-InSAR) method was used to carry out large-scale disaster risk screening using multi-source satellite SAR data. A total of 40 hidden danger points were identified, with 22 of them being newly discovered. The differences in the deformation results from the multi-source satellite SAR data were discussed. By analyzing ComparSAR-based deformation monitoring results of a large reservoir, a new risk screening method for slopes in alpine-canyon regions can be provided.

Publisher

Walter de Gruyter GmbH

Link

https://www.sciendo.com/pdf/10.2478/amns-2024-1897

Reference16 articles.

1. Jiang, W., Li, W., Zhou, J. et al. Drone-based investigation of natural restoration of vegetation in the water level fluctuation zone of cascade reservoirs in Jinsha River. Sci Rep 12, 12895 (2022). 10.1038/s41598-022-14578-z

2. Liu, H., Yin, J. & Feng, L. The Dynamic Changes in the Storage of the Danjiangkou Reservoir and the Influence of the South-North Water Transfer Project. Sci Rep 8, 8710 (2018). 10.1038/ s41598-018-26788-5

3. Feng L, Qi W, Xu C, et al. Landslide Research from the Perspectives of Qinling Mountains in China: A Critical Review[J/OL]. Journal of Earth Science:1-42[2023-12-30].http://kns.cnki.net/kcms/detail/42.1788.P.20231116.1629.002.html.

4. Xiao-jun S, Yi Z, Xing-min M, et al.Landslide mapping and analysis along the China-Pakistan Karakoram Highway based on SBAS-InSAR detection in 2017[J].Journal of Mountain Science, 2021, 18(10): 2540-2564.

5. Man H, Qiuqiang L ,Pengyu L .Susceptibility Assessment of Landslides in Alpine-Canyon Region Using Multiple GIS-Based Models[J].Wuhan University Journal of Natural Sciences,2019,24(03):257-270.