Natural Disaster Prediction Based on Experimental and Numerical Methods, volume II

This Research Topic is Volume II of a series. The previous volumes can be found here: Natural Disaster Prediction Based on Experimental and Numerical Methods Natural disaster research is a vital area within earth and environmental sciences, as climate change, urbanization, and increased human activity have contributed to the rising frequency and severity of hazardous events such as earthquakes, landslides, floods, and hurricanes. These disasters can inflict catastrophic harm on human life, infrastructure, and entire ecosystems, underlining the urgent need for improved prediction, mitigation, and management methods. Recent years have witnessed significant advances in both experimental testing and computational modeling, which now play central roles in revealing the mechanisms and forecasting the behavior of complex natural hazards. Despite such progress, integrating knowledge from these approaches to anticipate risks and inform decision-making remains a major challenge, especially given the multifaceted interactions within real-world environments and the unpredictability of emerging threats.This Research Topic aims to unify and highlight the latest technological and methodological advances in the prediction of natural disasters using both experimental and numerical approaches. The objective is to foster a deeper understanding of the physical and mechanical processes underlying disaster occurrence, and to promote the synergy of laboratory investigations, field experiments, and cutting-edge simulations. By emphasizing the interplay between practical tests and computational models, the goal is to accelerate the development of integrative strategies that enhance resilience, inform early warning systems, and support data-driven decision-making for disaster management. Submissions are encouraged that bridge experimental work with simulation, propose new evaluation metrics, or demonstrate real-world impact through innovative approaches.The scope of this Research Topic encompasses the development, application, and integration of experimental and numerical techniques for understanding, forecasting, and mitigating natural disasters. Contributions may include, but are not limited to, studies on:• Advanced experimental techniques and novel lab or field test setups to simulate disaster conditions• Innovative numerical simulations and model development for predicting disaster impacts• Failure analysis and vulnerability assessment of specific regions, structures, or systems• New metrics, algorithms, or methodologies for disaster forecasting and risk modeling• Technological advances and improvements supporting disaster preparedness, early warning, and response• Comprehensive case studies illustrating successful applications in hazard prediction or mitigation• Integrative or multidisciplinary approaches combining experiments, modeling, and data analytics for holistic risk managementWe welcome original research, review articles, and case studies that push the boundaries of experimental and numerical research, ultimately aiming to improve our ability to predict, prepare for, and reduce the risks of natural disasters. Topic editors: Wenling Tian, Yunteng Wang Source: https://www.frontiersin.org/research-topics/79242/natural-disaster-prediction-based-on-experimental-and-numerical-methods-volume-ii