Articles | Volume 16, issue 7
https://doi.org/10.5194/essd-16-3391-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-3391-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
24 Jul 2024
Data description article |
| 24 Jul 2024
| 24 Jul 2024
The China Active Faults Database (CAFD) and its web system
Xiyan Wu
State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing 100029, China
Xiwei Xu
CORRESPONDING AUTHOR
School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China
National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
Guihua Yu
State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing 100029, China
Junjie Ren
National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
Xiaoping Yang
State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing 100029, China
Guihua Chen
State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing 100029, China
National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
Keping Du
Faculty of Geographical Science, Beijing Normal University, Beijing 100091, China
Xiongnan Huang
State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing 100029, China
Haibo Yang
State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing 100029, China
National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
Haijian Hao
State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing 100029, China
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The northwestern Yunnan region (NWYR), with a complex network of active faults, presents significant seismic hazards such as multi-segment ruptures and landslides. This article introduces a new seismic hazard model which integrates fault slip parameters to assess the risks associated with multi-segment ruptures. The results reveal the intricate relationship between these ruptures and the regional small block rotation induced by regional low-crustal flow and gravitational collapse.
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Shadows in optical images will deteriorate deformation measures in the pixel offset tracking method. We proposed a simple method to correct mismatches in deformation time series between Sentinel-2 and Landsat 8. We found high temperatures accelerated the landslide deformation in summers 2017/18, because rising temperatures weakened the ice strength on the sliding plane. Climate warming will result in more similar hazard chains in deglaciating mountains.
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Scientific understandings of the distribution of coseismic landslides, followed by emergency and medium- and long-term risk assessment, can reduce landslide risk. The aim of this study is to propose an improved three-stage spatial prediction strategy and develop corresponding hazard assessment software called Mat.LShazard V1.0, which provides a new application tool for coseismic landslide disaster prevention and mitigation in different stages.
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Short summary
This study presents a national-scale database (1:4000 000) of active faults in China and its adjacent regions in tandem with an associated web-based query system. This database integrates regional-scale studies and surveys conducted over the past 2 decades (at reference scales from 1:250 000 to 1:50 000). Our system hosts this nation-scale database accessible through a Web Geographic Information System (GIS) application.
This study presents a national-scale database (1:4000 000) of active faults in China and its...
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