Research of Deformation and Soil Moisture in Loess Landslide Simultaneous Retrieved with Ground-Based GNSS
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Published:2022-11-11
Issue:22
Volume:14
Page:5687
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ISSN:2072-4292
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Container-title:Remote Sensing
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language:en
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Short-container-title:Remote Sensing
Author:
Zhou XinORCID,
Zhang ShuangchengORCID,
Zhang Qin,
Liu Qi,
Ma Zhongmin,
Wang Tao,
Tian Jing,
Li Xinrui
Abstract
The Loess Plateau is one of the three most severely affected geological disaster areas in China. Water sensitivity is the most significant feature of the loess. Under the action of continuous heavy rainfall, rainwater infiltrates the loess, resulting in a rapid increase in soil saturation and changes in soil moisture. This affects the shear strength of the soil and induces shallow loess landslides. Therefore, it is significant to our country’s disaster prevention and mitigation efforts to effectively monitor the deformation and inducement of such landslides. At present, the global navigation satellite system (GNSS) is widely used in the field of landslide disaster monitoring as a technical means to directly obtain real-time three-dimensional vector deformation of the surface. At the same time, GNSS can also provide a steady stream of L-band microwave signals to obtain surface environmental information, such as soil moisture around the station. In past landslide disaster monitoring research, GNSS was only used to provide three-dimensional deformation information, and its ability to provide environmental information around the station was almost completely ignored. This study proposes a ground-based GNSS remote sensing comprehensive monitoring system integrating “three-dimensional deformation and soil moisture content” combined with a rainfall-type shallow loess landslide event in Linxia City. The ability of ground-based GNSS to comprehensively monitor shallow loess landslide disasters was analysed. Experiments show that GNSS can provide high-precision deformation time series characteristics and monitor the changes in soil moisture content around the station at the same time; the two have a certain response relationship, which can comprehensively evaluate the stability of shallow loess landslides. As heavy rainfall is a key factor affecting the change in soil water content, this study adds the atmospheric water vapour content calculated by ground-based GNSS refraction remote sensing in the discussion chapter and analyses the relationship between precipitable water vapour and rainfall in this area to give full play to ground-based GNSS remote sensing. In the role of landslide disaster monitoring, we hope to build a more comprehensive ground-based GNSS remote sensing monitoring system to better serve the monitoring of landslide disasters.
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
State Key Laboratory of Geo-Information Engineering
Shaanxi Natural Science Research Program
Fundamental Research Funds for the Central Universities, Chang’an University
Shaanxi Province Science and Technology Innovation Team
European Space Agency
Subject
General Earth and Planetary Sciences
Reference47 articles.
1. Highland, L. Landslide Types and Processes, 2004.
2. Precision space observation technique for geological hazard monitoring and early warning;Zhang;Acta Geodaet. Cartogr. Sin.,2017
3. Landslide hydrology: From hydrology to pore pressure: Wiley Interdisciplinary Reviews;Bogaard;Water,2016
4. Relationships between landslide types and topographic attributes in a loess catchment, China;Zhang;J. Mount. Sci.,2012
5. Research Progress in Loess Landslides Forecast and Prediction Based on Assimilating Multi-Source Information;Bai;IOP Conf. Ser. Earth Environ. Sci.,2019
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