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http://dx.doi.org/10.3741/JKWRA.2015.48.2.105

Uncertainty Quantification Index of SWMM Model Parameters  

Chung, Gunhui (Department of Civil Engineering, Hoseo University)
Sim, Kyu Bum (Department of Civil Engineering, Sunmoon University.)
Kim, Eung Seok (Department of Civil Engineering, Sunmoon University.)
Publication Information
Journal of Korea Water Resources Association / v.48, no.2, 2015 , pp. 105-114 More about this Journal
Abstract
In the case of rapidly developed urban and industrial complex, the most area becomes impervious, which causes the increasing runoff and high probability of flooding. SWMM model has been widely used to calculate stormwater runoff in urban areas, however, the model is limited to interpreting the actual natural phenomenon. It has the uncertainty in the model structure, so it is difficult to calculate the accurate runoff from the urban basin. In this study, the model parameters were investigated and uncertainty was quantified using Uncertainty Quantification Index (UQI). As a result, pipe roughness coefficient has the largest total uncertainty and largest effect on the total runoff. Therefore, when the stormwater pipe network is designed, pipe roughness coefficient has to be calibrated accurately. The quantified uncertainty should be considered in the runoff calculation. It is recommended to understand the characteristics of each parameter for the prevention and mitigation of urban flood.
Keywords
SWMM model; parameter uncertainty; uncertainty quantification index; pipe roughness coefficient;
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Times Cited By KSCI : 3  (Citation Analysis)
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