4.6 Article

Automatic Identification of Slope Active Deformation Areas in the Zhouqu Region of China With DS-InSAR Results

期刊

FRONTIERS IN ENVIRONMENTAL SCIENCE
卷 10, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fenvs.2022.883427

关键词

DS-InSAR; slope active deformation areas; automatic identification; geometric distortion; temporal and spatial characteristics

资金

  1. National Natural Science Foundation of China [51474217]
  2. Natural Science Foundation of Hebei Province [E2020402086]
  3. Fundamental Research Funds for the Central Universities [2022YQDC01]

向作者/读者索取更多资源

The terrain of Zhouqu is narrow and has steep mountains on both sides of the Bailong River. Due to the fracture development of rock and complex geological conditions, it is one of the most serious landslide disaster areas in China. This study used the Distributed Scatter Interferometric Synthetic Aperture Radar (DS-InSAR) technique to accurately identify the slope active deformation areas (SADAs) in the region. The results showed that the SADA is mainly concentrated in the section from the downstream of Zhouqu County to Lianghekou, and the vegetation coverage and topographic slope angle are the two main reasons for this difference. The analysis also revealed that the slope deformation activity mainly occurs during the rainy season and has a high correlation with precipitation. These findings provide important references for geological disaster prevention in the Zhouqu region.
Zhouqu has narrow terrain and steep mountains on both sides of the Bailong River. It is one of the most serious landslide disaster areas in China due to the fracture development of rock and complex geological conditions. To identify the slope active deformation areas (SADAs) in the region accurately, the Distributed Scatter Interferometric Synthetic Aperture Radar (DS-InSAR) technique was used based on the process of the sentinel ascending and descending orbit data. Deformation results of the region from January 2019 to February 2021 were obtained. A new method for automatically identifying SADA while accounting for radar geometric distortion was established to quickly and efficiently identify SADA from the large-scale deformation results in the region. The SADA identified by this method can eliminate the region affected by geometric distortion. Based on the method, 62 SADAs including 12 in the upstream and 50 in the downstream of Zhouqu County were identified. Compared with 12 typical landslide areas in the study area, 9 typical landslides match with the detected SADA. The SADA is mainly concentrated in the section from the downstream of Zhouqu County to Lianghekou, and statistical analysis showed that the vegetation coverage and topographic slope angle are two main reasons for this difference. At the same time, the analysis of the typical landslide time-series deformation reveals that the slope deformation activity mainly takes place during the rainy season. It has high correlation with precipitation. These results of the study provided an important reference for geological disaster prevention in the Zhouqu region.

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