Journal of Korean Society on Water Environment (한국물환경학회지)

Korean Society on Water Environment (한국물환경학회)
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Improvement of Analytical Probabilistic Model for Urban Storm Water Simulation using 3-parameter Mixed Exponential Probability Density Function

3변수 혼합 지수 확률밀도함수를 이용한 도시지역 강우유출수의 해석적 확률모형 개선

  • 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)
  • 최대규 (부경대학교 환경시스템공학부) ;
  • 조덕준 (동서대학교 건축토목공학부) ;
  • 한수희 (부경대학교 환경시스템공학부) ;
  • 김상단 (부경대학교 환경시스템공학부)
  • Received : 2008.03.12
  • Accepted : 2008.03.15
  • Published : 2008.05.30
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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

Acknowledgement

Grant : GIS 기반의 비점오염물질 발생량 예측 모델개발

Supported by : 환경부

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