Multi-Hazard Spatial Modelling and Mapping

Dear Colleagues,

Natural hazards are extreme processes or conditions in nature that yield negative impacts on human lives and properties. Reports by CRED have indicated that nearly 22.3 million people were killed by extreme events between 1900 and 2006—an average of 208,000 people annually. The evaluation of the susceptibility to hazards, their probabilities of occurrence, and likelihood of exposures of people and property is vital. The analysis of individual or multiple hazards may guide integrated management. Multi-hazard management focuses on reducing risk and mitigating exposure to events like landslides, floods, forest fires, land subsidence, avalanches, drought, earthquakes, cyclonic storms, and severe erosion. This term stresses the analysis of a combination of hazards, but in reality, all decisions are made in such a context in areas that are susceptible to these events. There are many tools (GIS, remote sensing, machine learning, meta-heuristics, multi-criteria decision-making, etc.) that can be used to support hazard management. Combinations of these can increase understanding of complex problems and may also help spawn new theories to study, explain, and manage hazards and reduce disasters. This Issue focuses on multi-hazard assessments using new methods and technologies that employ GIS, remote sensing, modeling, and artificial intelligence tools and techniques.

Dr. Hamid Reza Pourghasemi
Prof. Dr. John P. Tiefenbacher 
Guest Editors

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