Integrating principal component analysis with statistically-based models for analysis of causal factors and landslide susceptibility mapping: A comparative study from the loess plateau area in Shanxi (China)-Reference-Cited by-同舟云学术

Integrating principal component analysis with statistically-based models for analysis of causal factors and landslide susceptibility mapping: A comparative study from the loess plateau area in Shanxi (China)

Published:2020-12 Issue: Volume:277 Page:124159
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Tang Yaming,Feng Fan,Guo Zizheng,Feng Wei,Li Zhengguo,Wang Jiayun,Sun Qiaoyin,Ma Hongna,Li Yane

Funder

Geo-hazards investigation in Hequ-Hancheng zone in JinShan loess plateau

China Shaanxi Province key research program

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment

Reference82 articles.

1. Landslide susceptibility evaluation and management using different machine learning methods in the gallicash river watershed, Iran;Arabameri;Rem. Sens.,2020

2. GIS-based rare events logistic regression for landslide-susceptibility mapping of Lianyungang, China;Bai;Environmental Earth Sciences,2011

3. Effects of groundwater table position, soil strength properties and rainfall on instability of earthquake-triggered landslides;Beyabanaki;Environmental Earth Sciences,2016

4. Debris-flow susceptibility assessment at regional scale: validation on an alpine environment;Bregoli;Landslides,2015

5. Regional-scale landslide susceptibility modelling in the Cordillera Blanca, Peru—a comparison of different approaches;Bueechi;Landslides,2019

Cited by 90 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Investigating landslide data balancing for susceptibility mapping using generative and machine learning models;Landslides;2024-09-05

2. Landslide risk assessment combining kernel extreme learning machine and information value modeling-A case study of Jiaxian Country of loess plateau, China;Heliyon;2024-09

3. Landslide susceptibility and building exposure assessment using machine learning models and geospatial analysis techniques;Advances in Space Research;2024-08

4. Enhancing the Performance of Landslide Susceptibility Mapping with Frequency Ratio and Gaussian Mixture Model;Land;2024-07-10

5. Evaluation of geologic hazards susceptibility along high-voltage transmission lines in Chongqing, China;Fifth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2024);2024-07-10