Modelling Surface Runoff using SWMM & GIS for Smarter Stormwater Management

Urban flooding is rising with rapid urbanisation and climate variability. Integrating SWMM with GIS enables precise modelling of surface runoff, spatial analysis of drainage systems, and identification of flood-prone zones, supporting efficient, data-driven stormwater management strategies.
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Rapid urbanisation is intensifying surface runoff, increasing flood risks and stressing urban drainage systems. Integrating SWMM (Storm Water Management Model) with Geographic Information Systems (GIS) offers a powerful approach to simulate, analyse, and manage stormwater dynamics with spatial precision.

🔍 Why SWMM + GIS?

  • Enables accurate runoff estimation based on land use, slope, and rainfall patterns
  • Supports scenario-based modelling for urban flooding and drainage design
  • Helps identify critical hotspots, bottlenecks, and overflow zones
  • Facilitates data-driven planning for resilient and adaptive infrastructure

💡 Key Applications:

  • Urban flood risk assessment and mitigation
  • Design of sustainable drainage systems (SuDS)
  • Integration with blue-green infrastructure strategies
  • Climate-resilient urban planning and policy formulation

🌱 By leveraging hydrological modelling + spatial analytics, cities can transition from reactive flood control to proactive stormwater governance, ensuring safety, sustainability, and resilience.

#StormwaterManagement #SWMM #GIS #UrbanFlooding #ClimateResilience #UrbanPlanning #SustainableCities #Hydrology

References

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Physical Sciences > Earth and Environmental Sciences > Environmental Sciences > Water
SDG 6: Clean Water & Sanitation
Research Communities > Community > Sustainability > UN Sustainable Development Goals (SDG) > SDG 6: Clean Water & Sanitation