Scholarlink

<p>Landslides, causing significant loss of life and property, are traditionally attributed to heavy rainfall and geological or topographical factors, often overlooking strong winds. In landslide-prone forest regions, typhoon-induced strong winds can uproot trees and destabilize their root systems, potentially triggering shallow landslides. In this study, a data-driven approach revealed that strong wind is one of the important factors that may trigger landslides, particularly strong wind lasting for hours. The significance of the combined rain–wind influence on landslides is examined using Mann–Whitney U test and 3D histogram, and a Random Forest machine learning model is constructed to predict the occurrences of landslides based on factors, such as heavy rain, strong winds, traditional geological conditions, and topographical factors. The models with wind factors have better performance than models without wind factors. These findings infer that both strong winds and heavy rainfall during typhoons may trigger or increase the risk of landslides.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Strong wind is one of the important factors that trigger landslides

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年1月31日

查看全文
  • Yuan-Chien Lin,
  • Jui-Yun Hsieh,
  • Hua-San Shih,
  • Wen-Hsin Wang

摘要

Landslides, causing significant loss of life and property, are traditionally attributed to heavy rainfall and geological or topographical factors, often overlooking strong winds. In landslide-prone forest regions, typhoon-induced strong winds can uproot trees and destabilize their root systems, potentially triggering shallow landslides. In this study, a data-driven approach revealed that strong wind is one of the important factors that may trigger landslides, particularly strong wind lasting for hours. The significance of the combined rain–wind influence on landslides is examined using Mann–Whitney U test and 3D histogram, and a Random Forest machine learning model is constructed to predict the occurrences of landslides based on factors, such as heavy rain, strong winds, traditional geological conditions, and topographical factors. The models with wind factors have better performance than models without wind factors. These findings infer that both strong winds and heavy rainfall during typhoons may trigger or increase the risk of landslides.