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Inland and coastal flooding: developments in prediction and prevention.
1Centre for Polar Observation and Modelling, University College London, London WC1E 6BT, UK. jcrh@mssl.ucl.ac.uk
Summary
This review covers flood dynamics and modeling, highlighting advancements in predicting extreme weather and water movement. Urban planning and resource allocation are key to mitigating climate change impacts on flood risks.
Area of Science:
- Flood dynamics and modeling
- Extreme event analysis
- Coastal and inland hydrology
Background:
- Flooding poses significant risks, exacerbated by climate change.
- Understanding diverse flood causes and processes is crucial.
- Urbanization amplifies vulnerability to extreme flood events.
Purpose of the Study:
- To review scientific and engineering knowledge on inland and coastal flooding.
- To assess progress in flood modeling and prediction techniques.
- To emphasize integrated approaches for managing flood risks.
Main Methods:
- Review of numerical modeling for meteorological causes, flood hydraulics, and coastal processes.
- Integration of probabilistic ensemble predictions and multi-model approaches.
- Utilizing remotely sensed data from aircraft and satellites.
Main Results:
- Significant progress in numerical modeling accuracy for flood prediction.
- Advancements in simulating extreme events using high-resolution computations.
- Demonstrated potential of combining statistical and computational modeling.
Conclusions:
- Integrated modeling and data approaches enhance flood forecasting.
- Urban planning is vital for mitigating climate-driven flood impacts.
- Resource allocation and policy must consider diverse national contexts.