About This Special Issue
Nowadays, due to severe destructive effects of different natural disasters, the importance of this issue cannot be ignored. The evermore level of natural disasters including floods, landslides, erosion, storm surges, tsunamis and so forth can affect the whole ecosystem and environmental health. Consequently, monitoring and evaluating hazards as well as determining proper mitigation measurements are of immense significance. Although hazards can originate in different sources and systems, the environmental impacts are equally catastrophic. This warrants a close interaction between different scientific and operational disciplines, aimed at enhancing the mitigation of hazards.
The main aim of this special issue is to provide the best solution and the most accurate natural hazard modeling and evaluation in order to predict the risks prone areas and therefore reduce their severe impacts globally in future.
Contributions can cover scientific measurement, instrumentation and statistical modeling in various research areas and proposing novel techniques in different fields to the community of interested researchers. Relevant topics incorporating the insights and methodologies of instrumentation, remote sensing and geographic information system, data and information sciences, hydrological process, water resource systems, climatology, geomorphology, and soil science can be within scope. Consequently, applying different numerical methods such as machine learning and statistical techniques, specifically ones that broaden the understanding of problems through integration with social, economic, or behavioral sciences should be focused. Also, region-specific problems, past and future conditions, analysis, and solutions should be taken into consideration in researchers’ studies. In this dimension, field surveys and experimental analysis can provide a better viewpoint for gaining more accurate results.
Keywords:
- Natural Hazard Assessment
- Forecasting of Catastrophic Events
- Risk Management
- Remote Sensing and Geographical Information Systems
- Numerical Analysis
- Field Survey and Experimental Analysis
- Hydrological Sciences and Modeling
- Water Based Management