Hazard Mapping of the Rainfall–Landslides Disaster Chain Based on GeoDetector and Bayesian Network Models in Shuicheng County, China
Landslides are among the most frequent natural hazards in the world. Rainfall is an important triggering factor for landslides and is responsible for topples, slides, and debris flows—three of the most important types of landslides. However, several previous relevant research studies covered general...
Main Authors: | Guangzhi Rong, Kaiwei Li, Lina Han, Si Alu, Jiquan Zhang, Yichen Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
|
Series: | Water |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4441/12/9/2572 |
Similar Items
-
FR-weighted GeoDetector for landslide susceptibility and driving factors analysis
by: Linya Peng, et al.
Published: (2023-12-01) -
Quantitative Assessment of Landslide Risk Based on Susceptibility Mapping Using Random Forest and GeoDetector
by: Yue Wang, et al.
Published: (2021-07-01) -
A Novel Hybrid Method for Landslide Susceptibility Mapping-Based GeoDetector and Machine Learning Cluster: A Case of Xiaojin County, China
by: Wei Xie, et al.
Published: (2021-02-01) -
Landslide susceptibility mapping using hybrid random forest with GeoDetector and RFE for factor optimization
by: Xinzhi Zhou, et al.
Published: (2021-09-01) -
An Optimization of Statistical Index Method Based on Gaussian Process Regression and GeoDetector, for Higher Accurate Landslide Susceptibility Modeling
by: Cen Cheng, et al.
Published: (2022-10-01)