Risk-based optimal CSOs curve designs for stormwater quality control

D. J. Jo, J. H. Lee, Joong Hoon Kim, M. J. Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents a systematic approach for the economical design of rain-water quality control systems. For the design of runoff quality control system (RQCS), the rainfall-runoff process requires the local rainfall data recorded continuously. In this study the rainfall probability distribution is assumed to follow an exponential decay function. Applying the exponential decay function, the normalized curves are derived to explain the non-exceedance probability distributions. The optimal curves for the determination of the RQCS size are derived based on the overflow risk. Comparison of the optimal capture volume and peak runoff rate to those computed by an urban rainfall-runoff model (ILLUDAS) demonstrates that the optimal curves derived in this study can be utilized for the design of rain-water quality control systems in Korea avoiding an excessive computational effort by the rainfall runoff model.

Original languageEnglish
Title of host publicationProceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management
EditorsG. Sehlke, D.F. Hayes, D.K. Stevens
Pages641-650
Number of pages10
Publication statusPublished - 2004 Dec 1
Event2004 World Water and Environmental Resources Congress: Critical Transitions in Water and Environmental Resources Management - Salt Lake City, UT, United States
Duration: 2004 Jun 272004 Jul 1

Other

Other2004 World Water and Environmental Resources Congress: Critical Transitions in Water and Environmental Resources Management
CountryUnited States
CitySalt Lake City, UT
Period04/6/2704/7/1

Fingerprint

Quality control
Rain
Runoff
Control systems
Probability distributions
Water quality

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Jo, D. J., Lee, J. H., Kim, J. H., & Park, M. J. (2004). Risk-based optimal CSOs curve designs for stormwater quality control. In G. Sehlke, D. F. Hayes, & D. K. Stevens (Eds.), Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management (pp. 641-650)

Risk-based optimal CSOs curve designs for stormwater quality control. / Jo, D. J.; Lee, J. H.; Kim, Joong Hoon; Park, M. J.

Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management. ed. / G. Sehlke; D.F. Hayes; D.K. Stevens. 2004. p. 641-650.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jo, DJ, Lee, JH, Kim, JH & Park, MJ 2004, Risk-based optimal CSOs curve designs for stormwater quality control. in G Sehlke, DF Hayes & DK Stevens (eds), Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management. pp. 641-650, 2004 World Water and Environmental Resources Congress: Critical Transitions in Water and Environmental Resources Management, Salt Lake City, UT, United States, 04/6/27.
Jo DJ, Lee JH, Kim JH, Park MJ. Risk-based optimal CSOs curve designs for stormwater quality control. In Sehlke G, Hayes DF, Stevens DK, editors, Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management. 2004. p. 641-650
Jo, D. J. ; Lee, J. H. ; Kim, Joong Hoon ; Park, M. J. / Risk-based optimal CSOs curve designs for stormwater quality control. Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management. editor / G. Sehlke ; D.F. Hayes ; D.K. Stevens. 2004. pp. 641-650
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