Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

August 5, 2024


Pages


DOI

Article

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

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Authors

Wang Shizheng Affiliation:
PowerChina Huadong Engineering Corporation Limited, Hangzhou, Zhejiang, 311122, China.
, Chen Tingxuan Affiliation:
PowerChina Huadong Engineering Corporation Limited, Hangzhou, Zhejiang, 311122, China.
, Chen Chen Affiliation:
Beijing Zhongguancun Insititute of Ssfety Science Corporation Limited, Beijing, 100083, China.
, Shi Anchi Affiliation:
PowerChina Huadong Engineering Corporation Limited, Hangzhou, Zhejiang, 311122, China.
, Chen Xiaohui Affiliation:
Beijing Zhongguancun Insititute of Ssfety Science Corporation Limited, Beijing, 100083, China.
and Zhao Liuyuan Affiliation:
PowerChina Huadong Engineering Corporation Limited, Hangzhou, Zhejiang, 311122, China.


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.


Keywords

Large reservoir, InSAR-based deformation monitoring, Geological hazard, Early identification, 97M50


Citation

Shizheng, W., Tingxuan, C., Chen, C., Anchi, S., Xiaohui, C., & Liuyuan, Z. (2024). Risk screening of large reservoir bank slopes based on deformation monitoring using insar technology-a case study of the baihetan reservoir bank. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-1897

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