Collection

Special Issue on Case-based learning, prediction, and prevention of geohazards

Submission status
Closed
Human life and civil infrastructure suffer frequently tremendous damage from geohazards such as earthquakes, landslides and rock falls, ground collapses, volcanoes. For the recent decades, such geohazards have become more serious and complex in accordance with the global warming and climate change. To mitigate and prevent the risk of geohazards requires information of case studies of geohazards. There have been recent advances for monitoring and prediction methods based on rapidly growing technologies such as remote sensing and machine learning. In addition, innovative measures to reduce and prevent geohazard risks have been developed. Among the numerous high-quality submissions, this issue includes 15 select articles that present case studies of various geohazards including sinkholes, ground settlements, landslides, earthquakes, retaining wall failures, liquefactions, rock failures, as well as a failure of railway system. We believe that the collection of these recent case studies on geohazards will enhance our understanding for the mechanisms of geohazards, and eventually help develop tools for predicting, preventing, and mitigating geohazards.

Editors

  • Jong-Sub Lee Jong-Sub Lee , 

    Jong-Sub Lee

    Korea University, Korea

  • Qing Lü Qing Lü  &

    Qing Lü

    Zhejiang University, China

  • Byungmin Kim Byungmin Kim

    Byungmin Kim

    Ulsan National Institute of Science and Technology, Korea

Articles (14 in this collection)