Advances in Rainfall-Induced Hazard Research

Dear Colleagues,

The current state of research on rainfall-induced hazards is rapidly evolving, with significant advancements in understanding and mitigation strategies. Remote sensing and geospatial technologies have revolutionized our ability to monitor and predict rainfall patterns, while numerical modeling techniques are increasingly sophisticated in assessing the potential impact of excessive rainfall on hillslopes, watersheds, and urban areas. Moreover, the integration of traditional atmospheric and natural hazard knowledge with modern data science and machine learning has led to more accurate predictions, enabling authorities to take timely measures.

This Special Issue brings together leading experts to share their insights and research findings, covering topics from rainfall modeling and forecasting to risk assessment and management. It serves as a valuable resource for researchers, policymakers, and practitioners, fostering cross-disciplinary collaboration and further advancements in this crucial field.

We hope this issue inspires more research into mitigating the impact of these natural hazards and safeguarding lives and property worldwide.

Dr. Qiang Dai
Dr. Shaonan Zhu
Guest Editors

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• rainfall-triggered hazards
• extreme rainfall events
• flood modeling
• landslide prediction
• hydrological processes
• slope stability analysis
• disaster prevention measures