Hydrological Prediction and Flooding Risk Assessment
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".
Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 10254
Special Issue Editors
Interests: water–energy–food nexus; water and environmental systems analysis; decision making; uncertainty; hydrological risk
Special Issues, Collections and Topics in MDPI journals
Interests: water resources management; energy systems planning; climate modeling and impact analysis; environmental pollution control; risk assessment; decision making under uncertainty
Special Issues, Collections and Topics in MDPI journals
Interests: regional climate modeling; climate downscaling; hydrological modeling and flooding risk analysis; energy systems modeling under climate change; climate change impact assessment and adaptation studies; GIS; spatial modeling and analysis; big data analysis and visualization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
River floods are among the costliest natural disasters, which can not only result in severe direct damages and fatalities, but also have considerably wider and longer-term adverse economic consequences. In an age defined by climate change and intensive human activities, ensuring the resilience against flood risk—critical to sustaining economic and population growth—is becoming increasingly important around the world. This challenge is particularly difficult for some coastal regions, where rising emissions from human activities, coupled with unprecedented changes in weather extremes, have resulted in growing floods and posed great threats to the local communities. Consequently, reliable hydrological prediction and flooding risk assessment are of great importance to develop corresponding resilience strategies, especially under a changing environment. However, a great number of challenges need to be carefully considered in hydrological prediction and risk assessment, such as the extensive uncertainties embedded in various hydroclimatic processes, changing climate, and intensified socio-economic activities. Such complexities force researchers to develop more robust mathematical methods and tools to analyze the relevant information, simulate the related processes, assess the potential impacts/risks, and generate sound decision alternatives for flood resilience.
This Special Issue on Hydrological Prediction and Flooding Risk Assessment aims to explore new mathematical techniques to aid decision makers in generating reliable flood predictions and risk inferences. What are new techniques in revealing complexities in hydroclimatic processes? How do we generate sound flood resilience strategies under the consideration of climate change and socio-economic development? Are there appropriate approaches to reflect extensive uncertainties in the process of hydrologic modelling and flood risk assessment? Additionally, case studies from a variety of hydrologic prediction and flood risk assessment issues are welcome.
Dr. Yurui Fan
Prof. Dr. Yongping Li
Dr. Xander Wang
Guest Editors
Manuscript Submission Information
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Keywords
- hydrologic prediction
- flood risk assessment
- climate change and adaptation
- flood resilience
- uncertainty quantification
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