Flood Monitoring, Forecasting and Risk Assessment
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".
Deadline for manuscript submissions: closed (31 August 2024) | Viewed by 2287
Special Issue Editors
Interests: surface water flooding; standardised monitoring approaches; systems engineering; disruptive technologies; climate change; extreme events
Special Issues, Collections and Topics in MDPI journals
Interests: environmental policy; environmental regulation; sustainability; governance; monitoring; natural capital; ecosystem services; risk assessment; emergency response; systems-based approaches; operationalizing research findings
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent decades, there has been an increase in the frequency and intensity of flood events across the world. Changes in rainfall patterns driven by underlying climate trends have resulted in a catastrophic loss of human life due to floods. Economic losses caused by floods worldwide have also been of significance. Urban environments are exposed to multiple sources of flooding, including surface water, groundwater, fluvial and coastal waters. The complex interactions between different flood types and the urban landscape require fit-for-purpose management strategies to effectively address the challenges that will affect many countries in the coming years. Monitoring programmes that support accurate input data for forecasting and risk assessment are key to developing and informing such management decisions. This Special Issue focuses on all aspects of flood monitoring, forecasting and risk assessment, from localised rainfall to flood emergency response and recovery. Of particular interest are papers focusing on transferable approaches that can be used at different spatio-temporal scales. This Special Issue aims to cover a full range of challenges within the field, including ensemble probability weather forecasting, river flow verification, climate change driven flood scenarios, and novel monitoring techniques, as well as data science-driven solutions such as digital twins.
Dr. Monica Rivas Casado
Prof. Dr. Paul Leinster
Dr. Kriti Mukherjee
Guest Editors
Manuscript Submission Information
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Keywords
- flood management
- risk assessment
- flood types
- data solutions
- technological uptake
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