Hydrological Modeling of Flood Risk in River Basins
Summary
Hydrological modelling of flood risk in river basins involves the quantitative simulation of rainfall–runoff processes and the subsequent mapping of flood inundation under varying meteorological and land‐surface conditions. By integrating conceptual, physically based and data‐driven approaches, researchers aim to capture the spatial and temporal dynamics of flood generation, propagation and deposition across catchments of diverse geology, topography and land use. Advances in remote sensing and high‐resolution digital elevation data have enabled more accurate representation of channel networks and floodplain morphology, while machine‐learning techniques increasingly support real‐time forecasting and uncertainty estimation. Coupling hydrological and hydraulic models allows for assessment of compound hazards, such as simultaneous fluvial and pluvial flooding, and for exploration of adaptation measures including reservoir operation, afforestation and engineered defences. Incorporating climate projections and multi‐model ensembles ensures that future shifts in extreme precipitation and runoff regimes are accounted for, informing regional planning, early‐warning systems and risk‐reduction policies worldwide.
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Hydrological Modeling of Flood Risk in River Basins publication trend
The graph below shows the total number of articles in hydrological modeling of flood risk in river basins across all publications each year (not limited to Nature Index journals).
Technical terms
Hydrological modelling: Computational representation of the water cycle within a catchment, including rainfall, infiltration, runoff and river flow.
Flood inundation modelling: Simulation of the spatial extent and depth of floodwaters across floodplains and low-lying areas.
Return period: The average interval, in years, between occurrences of an event of a given magnitude.
Bias correction: Statistical adjustment of modelled or remotely sensed data to align with observed measurements.
Rainfall–runoff–inundation (RRI) model: An integrated tool that converts precipitation inputs into discharge and maps resulting flood depths.
SWAT (Soil and Water Assessment Tool): A semi-distributed river basin model for predicting the impact of land management on streamflow and water quality.
HEC-RAS (Hydrologic Engineering Center's River Analysis System): A hydraulic modelling software used to simulate one-dimensional and two-dimensional river flow and floodplain hydraulics.
References
- Development of flood hazard index under climate change scenarios in Java Island. Progress in Disaster Science (2023).
- Assessing the Implication of Climate Change to Forecast Future Flood Using SWAT and HEC-RAS Model under CMIP5 Climate Projection in Upper Nan Watershed, Thailand. Sustainability (2023).
- Applications of Satellite-Based Rainfall Estimates in Flood Inundation Modeling—A Case Study in Mundeni Aru River Basin, Sri Lanka. Remote Sensing (2017).
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