Urban Flood Model Developments and Flood Forecasting
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydraulics and Hydrodynamics".
Deadline for manuscript submissions: closed (20 January 2023) | Viewed by 17342
Special Issue Editors
Interests: urban hydrology; urban resilience; rainfall-runoff modelling; flood inundation modelling; flood forecasting; calibration
Special Issues, Collections and Topics in MDPI journals
Interests: hydro-system modelling; urban hydrology; sustainable urban water system; flood modelling; computational hydraulics; river and coastal hydraulics; sediment dynamics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Flood poses a severe threat to urban critical infrastructure. Flood forecasting can contribute to disaster risk reduction as it is an important and integral part of flood management strategies. However, there are significant technical challenges associated with providing timely flood warning with enough lead time, and the accurate representation of the numerous complex physical and hydrodynamic processes involved in urban flooding is also still a challenge.
The aim of this Special Issue is thus to publish the latest advances and developments concerning the modeling and forecasting of flooding in urban areas and contribute to our scientific understanding and offer improved techniques to reduce flood risk.
It is anticipated that this issue will contain contributions on novel methodologies including (but not limited to) flood forecasting methods, data handling techniques, experimental research in urban drainage, and/or sustainable drainage systems and novel numerical approaches.
We further encourage the submission of original research, synthetic reviews or case study papers applying numerical or experimental modeling techniques in order to study the following topics:
- Flood forecasting;
- Shallow overland flows over urban terrains;
- Management of urban flood risk;
- Drainage system/surface flow interactions;
- Calibration and validation;
- Uncertainty quantification.
The accepted papers will be published as open access ensuring widespread availability.
Prof. Dr. Jorge Leandro
Dr. Mingfu Guan
Guest Editors
Manuscript Submission Information
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