Chapter
Apr 26, 2012
Alternative Well Calibrated Rainfall-Runoff Model: Genetic Programming Scheme
Authors: Shie-Yui Liong [email protected], V. T. Van Nguyen [email protected], Tirtha Raj Gautam [email protected], and Loong Wee [email protected]Author Affiliations
Publication: Urban Drainage Modeling
Abstract
Genetic Programming (GP) has been explored as a flow forecasting tool. A catchment in Singapore with a drainage area of about 6 km2 is used for this case study. GP was trained to simulate runoff from a conceptual rainfall-runoff model, Storm Water Management Model (SWMM), which was first calibrated using Shuffled Complex Evolution (SCE) algorithm. Four storms of different intensities and durations are used for training and verification of the GP models. The results show that the runoff prediction accuracy of genetic programming based tool, measured in terms of root mean square error and correlation coefficient, is reasonably high. Thus, GP coupled with a robust optimization scheme such as SCE is a viable complementary tool to traditional conceptual rainfall-runoff models.
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Published In
Urban Drainage Modeling
Pages: 777 - 787
Copyright
© 2001 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Business management
- Calibration
- Case studies
- Climates
- Computer programming
- Computing in civil engineering
- Decision making
- Decision support systems
- Engineering fundamentals
- Environmental engineering
- Groundwater
- Hydrologic engineering
- Hydrology
- Measurement (by type)
- Meteorology
- Methodology (by type)
- Models (by type)
- Practice and Profession
- Precipitation
- Rainfall
- Rainfall-runoff relationships
- Research methods (by type)
- Runoff
- Simulation models
- Water (by type)
- Water and water resources
- Water management
- Wells (water)
Authors
Affiliations
M.ASCE
Assoc. Professor, Department of Civil Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260. E-mail: [email protected]
Brace Professor, Department of Civil Engineering and Applied Mechanics, McGill University, 817 Sherbrooke Street West, Montreal, Canada. E-mail: [email protected]
Research Engineer, Department of Civil Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260. E-mail: [email protected]
Resident Engineer, PWD Consultants Pte. Ltd., 5 Maxwell Road, #10-00 Tower Block, MND Complex, Singapore 069110. E-mail: [email protected]
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