Natural disasters such as earthquakes, landslides, floods, and hurricanes have increased in frequency and intensity due to climate change, urban expansion, and greater human activity in vulnerable regions. These events pose significant threats to lives, properties, and ecosystems, making the development of effective prediction and management strategies essential for enhancing resilience and safety. Experimental testing and numerical simulation have emerged as crucial tools in understanding and predicting the dynamics of these natural hazards, facilitated by recent technological advancements.
Experimental testing offers a controlled environment to isolate variables and directly observe the effects of different conditions on materials and models. This method is indispensable for understanding how systems react to various stressors, such as seismic activity or changes in hydrology. On the other hand, numerical simulation leverages computational models to recreate and predict the behaviors of natural systems under diverse scenarios, providing a cost-effective and quick solution for disaster prediction by evaluating multiple scenarios and variables impractical to physically test.
This Research Topic aims to showcase the latest advancements in the prediction of natural disasters through experimental and numerical approaches. To gather further insights into this crucial field, we welcome articles addressing, but not limited to, the following themes:
• Advanced Experimental Techniques: Exploring novel test setups or methods simulating natural disaster conditions.
• Innovative Numerical Simulations: Introducing new models or enhancing existing simulations for disaster impact predictions.
• Failure Analysis: Investigating the vulnerabilities of regions or systems to specific disaster types.
• Prediction Methodologies: Developing new metrics or algorithms for accurate disaster forecasting.
• Technology Improvements for Disaster Management: Innovating better preparedness and response technologies.
• Case Studies and Real-World Applications: Demonstrating the successful application of these methods in predicting and mitigating natural disasters.
• Integrative Approaches: Combining various methods for a comprehensive risk assessment and management strategy.
By addressing these topics, the Research Topic aims to significantly advance the field of natural disaster research, providing new insights and tools to help mitigate the risks associated with these events.
Keywords: Experiment, Numerical simulation, Failure, Prediction, Natural disaster
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
