Innovative Approaches in Flood Forecasting and Modeling for Risk Mitigation
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".
Deadline for manuscript submissions: 25 May 2025 | Viewed by 1022
Special Issue Editor
Interests: open channel hydraulics; hydrology; hydraulic modeling; hydrodynamic modeling; sediment transport; water resources
Special Issue Information
Dear Colleagues,
Flood forecasting and modeling have greatly evolved in the last decade, integrating GIS (Geographic Information System) and remote sensing technology for data acquisition and exchange, modern modeling techniques and improved dissemination of their results for the best management and mitigation of flood risk. Cutting-edge technology and innovative approaches in the field of flood risk have enhanced the accuracy, speed, and efficiency of flood forecasting and modeling systems.
The aim of this Special Issue is to show how implementing such techniques could lead to more effective flood risk management and better protection of communities worldwide, especially in the actual context of climate change and increased urbanization. The following research directions are only a few examples in this field.
Using remote sensing satellites for large-scale hydrological data collection and drones for localized, high-resolution data in critical areas has become very important for real-time flood monitoring and prediction. Technology has evolved to have high accuracy in flood detection and continuous monitoring in remote areas with crowdsourced data from mobile apps and social media, for faster response to potential threats.
Besides traditional hydrological models, AI techniques are being used to predict rainfall events that lead to floods. Deep learning models can be trained to use historical rainfall data, meteorological conditions, and weather radar data to identify patterns that precede heavy rainfall. These models seem to have improved accuracy in flash flood predictions, faster computational speed, and are better able to handle complex weather patterns.
Modern hydrodynamic models simulate how water flows under various conditions through the 3D digital twins of the landscapes, river basins, channels or urban areas created using GIS data, satellite imagery, and LiDAR (Light Detection and Ranging). They can incorporate different flood scenarios by adjusting factors like precipitation, discharge, terrain, or changing infrastructure. In urban areas, multi-scale modeling approaches may integrate 1D models (for drainage systems) with 2D and 3D models (for surface water flows) to provide detailed flood forecasts.
Dr. Daniela Gogoase Nistoran
Guest Editor
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Keywords
- hydrological and hydraulic models
- data driven models
- flood mapping
- urban floods
- climate change
- remote sensing
- flood forecasting
- flood risk
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