Development of Fuzzy Rules Based System for Rainfall-Runoff Modeling
Publication: World Environmental and Water Resource Congress 2006: Examining the Confluence of Environmental and Water Concerns
Abstract
The rainfall runoff process is one of the most complex and non-linear real world problems in water resources and hydrology. The same amount of precipitation could generate different runoff over the same watershed depending on, for example, soil humidity conditions. An attempt was made in this paper to develop a fuzzy rule-based routine. The main objective was to develop a fuzzy rule-based system to forecast the peak flow rate (Qmax) over a watershed for six different storm events. The developed fuzzy rule system was applied to a drainage basin in North Carolina, in which SWMM (EPA Storm Water Management Model) simulations provided training sets to develop the fuzzy rule system. Geographic Information Systems (GIS) were employed to get the information on watershed characteristics. The resulting fuzzy-rule system was assessed by comparing its responses with the modeling results in EPA-SWMM 5.
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Information
Published In
World Environmental and Water Resource Congress 2006: Examining the Confluence of Environmental and Water Concerns
Pages: 1 - 9
Copyright
© 2006 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
ASCE Technical Topics:
- Artificial intelligence and machine learning
- Climates
- Computer programming
- Computing in civil engineering
- Drainage
- Drainage systems
- Engineering fundamentals
- Environmental engineering
- Fuzzy logic
- Geographic information systems
- Geomatics
- Hydrologic engineering
- Hydrologic models
- Hydrology
- Irrigation engineering
- Meteorology
- Models (by type)
- Precipitation
- Rainfall
- Rainfall-runoff relationships
- River engineering
- River systems
- Runoff
- Surveying methods
- Water and water resources
- Water management
- Water policy
- Water resources
- Watersheds
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