Prediction of Landslide Dam Formation Using Machine Learning Techniques-Reference-Cited by-同舟云学术

Prediction of Landslide Dam Formation Using Machine Learning Techniques

Published:2023-07-20 Issue: Volume: Page:
ISSN:
Container-title:Geo-Risk 2023
language:
Short-container-title:

Author:

Xiao Shihao¹²¹¹,Zhang Limin¹²¹¹,Xiao Te¹²¹¹,Jiang Ruochen¹²¹¹

Affiliation:

1. Dept. of Civil and Environmental Engineering, Hong Kong Univ. of Science and Technology, Hong Kong, China.

2. Dept. of Civil and Environmental Engineering, Hong Kong Univ. of Science and Technology, Hong Kong, China; HKUST Shenzhen Research Institute, Shenzhen, China; HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Futian, Shenzhen, China.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784484968.005

Reference19 articles.

1. Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniques;Chang K. T.;Sci. Rep.,2019

2. Landslide dam formation susceptibility analysis based on geomorphic features;Chen C. Y.;Landslides,2016

3. Holocene landslide-dammed lake deposits in the Upper Jinsha River, SE Tibetan Plateau and their ages

4. The formation and failure of natural dams

5. The 12 May Wenchuan earthquake-induced landslide lakes: distribution and preliminary risk evaluation

Cited by 2 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. Characterizing multivariate, asymmetric, and multimodal distributions of geotechnical data with dual-stage missing values: BASIC-H;Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards;2024-01-02

2. The Displacement Analysis and Prediction of a Creeping Ancient Landslide at Suoertou, Zhouqu County, China;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024