Chapter
Apr 26, 2012
Radar-Based Flood Forecasting: Quantifying Hydrologic Prediction Uncertainty in Urban-Scale Catchments for CASA Radar Deployment
Authors: B. E. Vieux [email protected], J. M. Imgarten, J. P. Looper, and P. B. Bedient [email protected]Author Affiliations
Publication: World Environmental and Water Resources Congress 2008: Ahupua'A
Abstract
Stormwater runoff significantly impacts flooding and water quality in urban areas. Prediction of the runoff response in urban catchments requires accurate and representative rainfall over catchments that are composed of natural and man-made drainage networks and surfaces. The spatio-temporal variability of rainfall and the hydraulic drainage network and catchment characteristics combine to produce the runoff response to storm events. Whether the storm event is characterized by convective, stratiform, or tropical rainfall processes the combination of radar and gauge observations can be used to make hydrologic predictions in real-time. Archival gauge-adjusted radar rainfall is used as input to a distributed model with detailed representation of the catchment. Results show that peak stage can be estimated with an accuracy of 1.05 ft RMSE and timing for the simulated events excluding the outliers of 10.0 min RMSE.
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Copyright
© 2008 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Bodies of water (by type)
- Catchments
- Continuum mechanics
- Dynamics (solid mechanics)
- Engineering fundamentals
- Engineering mechanics
- Equipment and machinery
- Floods
- Forecasting
- Hydrologic engineering
- Hydrology
- Infrastructure
- Mathematics
- Motion (dynamics)
- Municipal water
- Radar
- Solid mechanics
- Statistics
- Uncertainty principles
- Urban and regional development
- Urban areas
- Water (by type)
- Water and water resources
- Water management
Authors
Affiliations
University of Oklahoma, School of Civil Engineering and Environmental Science, National Weather Center, 120 David L. Boren Blvd., Suite 3600, Norman, OK 73072. E-mail: [email protected]
J. M. Imgarten
University of Oklahoma, School of Civil Engineering and Environmental Science, National Weather Center, 120 David L. Boren Blvd., Suite 3600, Norman, OK 73072
J. P. Looper
University of Oklahoma, School of Civil Engineering and Environmental Science, National Weather Center, 120 David L. Boren Blvd., Suite 3600, Norman, OK 73072
Rice University, Department of Civil and Environmental Engineering, Houston TX. E-mail: [email protected]
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