Landslides in Forests around the World: Causes and Mitigation

被引:5
作者
Wen, Haijia [1 ]
Li, Weile [2 ]
Xu, Chong [3 ,4 ]
Daimaru, Hiromu [5 ]
机构
[1] Chongqing Univ, Sch Civil Engn, Chongqing 400045, Peoples R China
[2] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China
[3] Minist Emergency Management China, Natl Inst Nat Hazards, Beijing 100085, Peoples R China
[4] Minist Emergency Management, Key Lab Cpd & Chained Nat Hazards Dynam, Beijing 100085, Peoples R China
[5] Forestry & Forest Prod Res Inst, Tama Forest Sci Garden, Tokyo 3058687, Japan
来源
FORESTS | 2023年 / 14卷 / 03期
关键词
D O I
10.3390/f14030629
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
引用
收藏
页数:4
相关论文
共 14 条
  • [1] A Data-Driven Model for Spatial Shallow Landslide Probability of Occurrence Due to a Typhoon in Ningguo City, Anhui Province, China
    Cui, Yulong
    Jin, Jiale
    Huang, Qiangbing
    Yuan, Kang
    Xu, Chong
    [J]. FORESTS, 2022, 13 (05):
  • [2] Nucleation Process of the 2017 Nuugaatsiaq, Greenland Landslide
    Guo, Zhenwei
    Hou, Xinrong
    Gao, Dawei
    Liu, Jianxin
    [J]. FORESTS, 2023, 14 (01):
  • [3] Effect of Particle Form and Surface Friction on Macroscopic Shear Flow Friction in Particle Flow System
    Huang, Yu
    Wang, Yi'an
    Wang, Suran
    [J]. FORESTS, 2022, 13 (07):
  • [4] Landslide Susceptibility-Oriented Suitability Evaluation of Construction Land in Mountainous Areas
    Li, Linzhi
    Chen, Xingyu
    Zhang, Jialan
    Sun, Deliang
    Liu, Rui
    [J]. FORESTS, 2022, 13 (10):
  • [5] Study on the Shear Strength of Root-Soil Composite and Root Reinforcement Mechanism
    Li, Pengcheng
    Xiao, Xuepei
    Wu, Lizhou
    Li, Xu
    Zhang, Hong
    Zhou, Jianting
    [J]. FORESTS, 2022, 13 (06):
  • [6] Research on a Regional Landslide Early-Warning Model Based on Machine Learning-A Case Study of Fujian Province, China
    Liu, Yanhui
    Huang, Junbao
    Xiao, Ruihua
    Ma, Shiwei
    Zhou, Pinggen
    [J]. FORESTS, 2022, 13 (12):
  • [7] Changes in Slope Stability over the Growth and Decay of Japanese Cedar Tree Roots
    Okada, Yasuhiko
    Cai, Fei
    Kurokawa, Ushio
    [J]. FORESTS, 2023, 14 (02):
  • [8] Automatic Remote Sensing Identification of Co-Seismic Landslides Using Deep Learning Methods
    Pang, Dongdong
    Liu, Gang
    He, Jing
    Li, Weile
    Fu, Rao
    [J]. FORESTS, 2022, 13 (08):
  • [9] A Hybrid Landslide Warning Model Coupling Susceptibility Zoning and Precipitation
    Sun, Deliang
    Gu, Qingyu
    Wen, Haijia
    Shi, Shuxian
    Mi, Changlin
    Zhang, Fengtai
    [J]. FORESTS, 2022, 13 (06):
  • [10] A Comparative Study of Shallow Machine Learning Models and Deep Learning Models for Landslide Susceptibility Assessment Based on Imbalanced Data
    Xu, Shiluo
    Song, Yingxu
    Hao, Xiulan
    [J]. FORESTS, 2022, 13 (11):