Articles | Volume 19, issue 9
https://doi.org/10.5194/nhess-19-1973-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-19-1973-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Sep 2019
Research article |
| 11 Sep 2019
| 11 Sep 2019
GIS-based earthquake-triggered-landslide susceptibility mapping with an integrated weighted index model in Jiuzhaigou region of Sichuan Province, China
Yaning Yi
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
University of Chinese Academy of Sciences, Beijing, 100049, China
Zhijie Zhang
CORRESPONDING AUTHOR
Department of Geography, University of Connecticut, Storrs, CT 06269, USA
Wanchang Zhang
CORRESPONDING AUTHOR
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
Qi Xu
Institute of Karst Geology, Chinese Academy of Geological Sciences,
Guilin 541004, China
Cai Deng
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
Qilun Li
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
University of Chinese Academy of Sciences, Beijing, 100049, China
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- Earthquake‐Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts X. Fan et al. 10.1029/2018RG000626
46 citations as recorded by crossref.
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- Detection and characterization of slow-moving landslides in the 2017 Jiuzhaigou earthquake area by combining satellite SAR observations and airborne Lidar DSM J. Cai et al. 10.1016/j.enggeo.2022.106730
- Introducing a geospatial database and GIS techniques as a decision-making tool for multicriteria decision analysis methods in landslides susceptibility assessment C. Nefros & C. Loupasakis 10.12681/bgsg.29038
- Landslide Susceptibility Prediction: Improving the Quality of Landslide Samples by Isolation Forests Q. Zhang et al. 10.3390/su142416692
- Implications of the loess record for Holocene climate and human settlement in Heye Catchment, Jiuzhaigou, eastern Tibetan Plateau, Sichuan, China A. Schmidt et al. 10.1017/qua.2022.44
- The suitability of different vegetation indices to analyses area with landslide propensity using Sentinel -2 Image L. Giordano et al. 10.1590/s1982-21702023000300008
- Development of black ice prediction model using GIS-based multi-sensor model validation S. Hong et al. 10.5194/nhess-22-3435-2022
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- A review of recent earthquake-induced landslides on the Tibetan Plateau B. Zhao et al. 10.1016/j.earscirev.2023.104534
- Comparison of multiple conventional and unconventional machine learning models for landslide susceptibility mapping of Northern part of Pakistan B. Aslam et al. 10.1007/s10668-022-02314-6
- Modeling landslide susceptibility based on convolutional neural network coupling with metaheuristic optimization algorithms Z. Chen & D. Song 10.1080/17538947.2023.2249863
- Hazard Mapping of the Rainfall–Landslides Disaster Chain Based on GeoDetector and Bayesian Network Models in Shuicheng County, China G. Rong et al. 10.3390/w12092572
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- Multi-Temporal Landslide Inventory-Based Statistical Susceptibility Modeling Associated With the 2017 Mw 6.5 Jiuzhaigou Earthquake, Sichuan, China L. Luo et al. 10.3389/fenvs.2022.858635
- An essential update on the inventory of landslides triggered by the Jiuzhaigou Mw6.5 earthquake in China on 8 August 2017, with their spatial distribution analyses J. Sun et al. 10.1016/j.heliyon.2024.e24787
- A New Deep-Learning-Based Approach for Earthquake-Triggered Landslide Detection From Single-Temporal RapidEye Satellite Imagery Y. Yi & W. Zhang 10.1109/JSTARS.2020.3028855
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- Rapidly assessing earthquake-induced landslide susceptibility on a global scale using random forest Q. He et al. 10.1016/j.geomorph.2021.107889
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- Landslide Susceptibility Mapping Using Ant Colony Optimization Strategy and Deep Belief Network in Jiuzhaigou Region Y. Xiong et al. 10.1109/JSTARS.2021.3122825
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- Climate Change Induced Landslide Susceptibility Assessment - for Aiding Climate Resilient Planning for Road Infrastructure: A Case Study in Rangamati District, Chittagong Hill Tracts, Bangladesh I. Wijaya et al. 10.1088/1755-1315/1091/1/012010
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- Post-earthquake spatiotemporal evolution characteristics of typical landslide sources in the Jiuzhaigou meizoseismal area C. Huang et al. 10.1007/s10064-024-03724-8
- An artificial intelligence based framework to analyze the landside risk of a mountainous highway A. Sharma et al. 10.1080/10106049.2023.2186494
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- GIS-based seismic vulnerability mapping: a comparison of artificial neural networks hybrid models P. Yariyan et al. 10.1080/10106049.2021.1892208
- Global Dynamic Rainfall-Induced Landslide Susceptibility Mapping Using Machine Learning B. Li et al. 10.3390/rs14225795
- Application of an Incomplete Landslide Inventory and One Class Classifier to Earthquake-Induced Landslide Susceptibility Mapping S. Chen et al. 10.1109/JSTARS.2020.2985088
- Comparison of Tree-Structured Parzen Estimator Optimization in Three Typical Neural Network Models for Landslide Susceptibility Assessment G. Rong et al. 10.3390/rs13224694
- A Novel Intelligent Method Based on the Gaussian Heatmap Sampling Technique and Convolutional Neural Network for Landslide Susceptibility Mapping Y. Xiong et al. 10.3390/rs14122866
3 citations as recorded by crossref.
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- Frekans oranı yöntemiyle coğrafi bilgi sistemi ortamında heyelan duyarlılık haritasının üretilmesi: Manisa, Demirci, Tekeler Köyü örneği O. YILMAZ 10.29128/geomatik.1108735
- Earthquake‐Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts X. Fan et al. 10.1029/2018RG000626
Latest update: 14 Nov 2024
Short summary
On 8 August 2017, a Mw 6.5 earthquake struck the Jiuzhaigou region of Sichuan Province, which triggered numerous landslides. In this study, a landslide susceptibility map was generated by using an integrated weighted index model. Results indicated that the integrated model has superior fitting performance and predictive capability. We expect that the generated landslide susceptibility map can serve engineers and decision makers involved in hazard mitigation.
On 8 August 2017, a Mw 6.5 earthquake struck the Jiuzhaigou region of Sichuan Province, which...
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