Geotechnics for Hazard Mitigation, 2nd Edition

Dear Colleagues,

Among all the geological disasters (GDs), collapses, landslides, and debris flow are the most serious. The prediction of geological disasters is the most effective means to reduce casualties and property losses. However, early identification and warning technology for collapses have been difficult to achieve effectively. Therefore, the scope of this research topic is about the quantitative identification of dangerous rock, the risk assessment of landslide instability precursors, the quantitative model of a movable solid source in a debris flow source area, the application of research on new monitoring and early warning technology systems, and the corresponding control and reinforcement measures. In addition, this Topic also welcomes papers of remote sensing technologies (e.g., InSAR, LiDAR, and multispectral/hyperspectral imagery) in early detection of precursory deformation, large-scale hazard mapping, and real-time monitoring of landslides, rockfalls, and debris flows. Submissions exploring how advanced remote sensing approaches can effectively bridge field-scale observations and regional risk assessment are particularly encouraged. We cordially invite relevant scholars to submit their research findings to the article collection of this Topic, which will hopefully improve the early warning technology of GDs and serve as a platform for the exchange of knowledge and the discovery of new innovations. The subtopics include but are not limited to the following:

• Rock dynamics and failure precursor of rock collapse.
• Quantitative dynamic damage identification of unstable rock or rock landslides.
• Analysis of the causative mechanism and disaster-causing factors of GDs.
• Risk and stability assessment method for GDs.
• Quantitative model of movable solid source in debris flow source area.
• Application research of new monitoring technology for GDs and establishment of the early warning index system.
• The corresponding control and reinforcement measures for GDs.

Prof. Dr. Mowen Xie
Dr. Yan Du
Prof. Dr. Yujing Jiang
Prof. Dr. Bo Li
Dr. Xuepeng Zhang
Dr. Santos D. Chicas
Topic Editors