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Improvement of Analytical Probabilistic Model for Urban Storm Water Simulation using 3-parameter Mixed Exponential Probability Density Function  

Choi, Daegyu (Department of Environmental System Engineering, Pukyong National University)
Jo, Deok Jun (Division of Architecture & Civil Engineering, Dongseo University)
Han, Suhee (Department of Environmental System Engineering, Pukyong National University)
Kim, Sangdan (Department of Environmental System Engineering, Pukyong National University)
Publication Information
Journal of Korean Society on Water Environment / v.24, no.3, 2008 , pp. 345-353 More about this Journal
Abstract
In order to design storage-based non-point source management facilities, the aspect of statistical features of the entire precipitation time series should be considered since non-point source pollutions are delivered by continuous rainfall runoffs. The 3-parameter mixed exponential probability density function instead of traditional single-parameter exponential probability density function is applied to represent the probabilistic features of long-term precipitation time series and model urban stormwater runoff. Finally, probability density functions of water quality control basin overflow are derived under two extreme intial conditions. The 31-year continuous precipitation time series recorded in Busan are analyzed to show that the 3-parameter mixed exponential probability density function gives better resolution.
Keywords
Analytical probabilistic model; Non-point sources; Rainfall; Urban storm water;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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