Urban Stormwater Management Modelling

Urban stormwater management modelling has evolved into a critical tool for addressing flood risk, water quality degradation and climate resilience in densely populated areas. Physically based models, often implemented in continuous‐simulation or event‐based modes, simulate the movement and treatment of runoff across impervious and pervious surfaces, through drainage networks and into receiving waters. Integration of hydrological and hydraulic processes enables the assessment of both flow hydrographs and water levels in conduits or channels, while pollutant build-up and wash-off submodels quantify contaminant loads and first-flush dynamics. Advances in geospatial data processing, high‐resolution terrain mapping and multi‐objective calibration have improved model realism and reliability. Sensitivity and uncertainty analyses guide parameter selection and highlight the influence of impervious surface fraction, antecedent dry periods and catchment scale. Modelling outputs increasingly inform the design of green infrastructure, optimised control measures and adaptive drainage strategies, supporting evidence-based policy and resilient urban planning on a global scale.

Research from Nature Portfolio

One major study in a coastal megacity applied integrated hydraulic and hydrological simulation to evaluate the resilience of an existing stormwater network under current and projected climate conditions. By generating intensity–duration–frequency curves from downscaled climate projections and delineating network topology via geospatial surveys, the model identified flood-prone hotspots and quantified changes in capacity for return periods of up to 100 years. The analysis guided targeted interventions, including upsizing conduits and installing additional control structures, to bolster flood resilience. Results underscored the importance of coupling climate scenarios with detailed network models to inform adaptive stormwater design and policy.

Urban Stormwater Management Modelling publication trend

The graph below shows the total number of articles in urban stormwater management modelling across all publications each year (not limited to Nature Index journals).

Technical terms

Storm Water Management Model (SWMM): A dynamic rainfall‐runoff simulation tool used to predict quantity and quality of urban stormwater runoff through drainage networks.

Intensity–Duration–Frequency (IDF) curves: Graphical representations that relate rainfall intensity to storm duration and return period, used for design of hydraulic structures.

First flush phenomenon: The initial portion of a storm event during which disproportionately high pollutant loads are washed off impervious surfaces.

Representative Concentration Pathway (RCP): A greenhouse-gas concentration trajectory used in climate modelling to project future climate scenarios.

References

1. Performance of urban storm drainage network under changing climate scenarios: Flood mitigation in Indian coastal city. Scientific Reports (2019).
2. Efficient Urban Runoff Quantity and Quality Modelling Using SWMM Model and Field Data in an Urban Watershed of Tehran Metropolis. Sustainability (2022).
3. A Comparison of Continuous and Event-Based Rainfall–Runoff (RR) Modelling Using EPA-SWMM. Water (2019).
4. Integrated Hydrological-Hydraulic Model for Flood Simulation in Tropical Urban Catchment. Sustainability (2019).