Journal of Korean Society on Water Environment (한국물환경학회지)

Korean Society on Water Environment (한국물환경학회)
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Estimation of Storage Capacity for Sustainable Rainwater Harvesting System with Probability Distribution

확률분포를 이용한 지속가능한 빗물이용시설의 저류용량 산정

  • Kang, Won Gu (GS Engineering and Construction) ;
  • Chung, Eun-Sung (College of Civil Engineering, Seoul National University of Science and Technology) ;
  • Lee, Kil Seong (Department of Civil and Environmental Engineering, Seoul National University) ;
  • Oh, Jin-Ho (Department of Civil and Environmental Engineering, Seoul National University)
  • 강원구 (GS 건설(주)) ;
  • 정은성 (서울과학기술대학교 건설공학부) ;
  • 이길성 (서울대학교 건설환경공학부) ;
  • 오진호 (서울대학교 건설환경공학부)
  • Received : 2010.01.26
  • Accepted : 2010.07.01
  • Published : 2010.09.30
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Abstract

Rainwater has been used in many countries as a way of minimizing water availability problems. Rainwater harvesting system (RHS) has been successfully implemented as alternative water supply sources even in Korea. Although RHS is an effective alternative to water supply, its efficiency is often heavily influenced by temporal distribution of rainfall. Since natural precipitation is a random process and has probabilistic characteristics, it will be more appropriate to describe these probabilistic features of rainfall and its relationship with design storage capacity as well as supply deficit of RHS. This study presents the methodology to establish the relationships between storage capacities and deficit rates using probability distributions. In this study, the real three-story building was considered and nine scenaries were developed because the daily water usage pattern of the study one was not identified. GEV, Gumbel and the generalized logistic distribution ware selected according to the results of Kolmogorov-Smirnov test and Chi-Squared test. As a result, a set of curves describing the relationships under different exceedance probabilities were generated as references to RHS storage design. In case of the study building, the deficit rate becomes larger as return period increases and will not increase any more if the storage capacity becomes the appropriate quantity. The uncertainties between design storage and the deficit can be more understood through this study on the probabilistic relationships between storage capacities and deficit rates.

Keywords

References

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