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Modeling Urban Hydrology and Green Infrastructure Using the AGWA Urban Tool and the KINEROS2 Model
Yoganand Korgaonkar1, D Phillip Guertin1, David C Goodrich2
1School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, United States.
The Automated Geospatial Watershed Assessment (AGWA) Urban tool effectively models green infrastructure (GI) for urban hydrology. Simulations show GI practices significantly reduce runoff volume and peak flows, with retention basins being most effective.
Area of Science:
- Urban Hydrology
- Geospatial Analysis
- Green Infrastructure Modeling
Background:
- Urban environments face challenges in managing stormwater runoff and infiltration.
- Green infrastructure (GI) offers a sustainable approach to mitigate urban hydrological issues.
- Physically based models are crucial for understanding complex urban water processes.
Purpose of the Study:
- To validate the Automated Geospatial Watershed Assessment (AGWA) Urban tool for urban hydrology modeling.
- To assess the effectiveness of various green infrastructure (GI) practices on runoff and peak flow reduction.
- To evaluate the potential of roof runoff capture for water availability in urban areas.
Main Methods:
- Utilized the AGWA Urban tool integrated with the Kinematic Runoff and Erosion (KINEROS2) model.
- Employed a Geographic Information System (GIS) framework for parameter preparation, model execution, and results visualization.
- Validated the model using observed runoff data from a residential subdivision in Arizona over 47 rainfall events.
- Simulated five GI scenarios (retention basins, permeable driveways, rainwater harvesting, and combinations) to assess their impact on runoff and peak flows.
Main Results:
- Model validation showed strong agreement between simulated and observed runoff volumes (R²=0.80) and peak flow rates (R²=0.83).
- Roof runoff capture simulations indicated a 15% capture of average monthly rainfall, potentially meeting up to 70% of domestic water needs.
- Retention basins (S2) demonstrated the highest runoff volume reduction (30%) and peak flow reduction compared to permeable driveways (S3) and rainwater harvesting cisterns (S4).
- Permeable driveways (S3) were more effective at reducing smaller peak flows than rainwater harvesting (S4).
Conclusions:
- The AGWA Urban tool, coupled with KINEROS2, provides a validated and effective framework for modeling urban hydrology and GI.
- GI implementation, particularly retention basins, significantly reduces runoff volume and peak flows in urban watersheds.
- Roof runoff capture presents a viable strategy for augmenting local water supply in arid and semi-arid urban regions.
- Parcel-level GI interventions can collectively contribute to improved watershed-scale hydrological management.
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