Browse > Article

Estimation of Storage Capacity for CSOs Storage System in Urban Area  

Jo, Deok Jun (Department of Architecture and civil engineering system, Dongseo University)
Lee, Jung Ho (Department of Civil, Environmental and Architectural Engineering, Korea University)
Kim, Myoung Su (Department of Water Resource engineering, Namwonkeonseol Engineering Co, Ltd.)
Kim, Joong Hoon (Department of Civil, Environmental and Architectural Engineering, Korea University)
Park, Moo Jong (Department of Civil Engineering, Hanseo University)
Publication Information
Journal of Korean Society on Water Environment / v.23, no.4, 2007 , pp. 490-497 More about this Journal
Abstract
A Combined sewer overflows (CSOs) are themselves a significant source of water pollution. Therefore, the control of urban drainage for CSOs reduction and receiving water quality protection is needed. Examples in combined sewer systems include downstream storage facilities that detain runoff during periods of high flow and allow the detained water to be conveyed by an interceptor sewer to a centralized treatment plant during periods of low flow. The design of such facilities as stormwater detention storage is highly dependant on the temporal variability of storage capacity available (which is influenced by the duration of interevent dry periods) as well as the infiltration capacity of soil and recovery of depression storage. As a result, a continuous approach is required to adequately size such facilities. This study for the continuous long-term analysis of urban drainage system used analytical probabilistic model based on derived probability distribution theory. As an alternative to the modeling of urban drainage system for planning or screening level analysis of runoff control alternatives, this model have evolved that offer much ease and flexibility in terms of computation while considering long-term meteorology. This study presented rainfall and runoff characteristics of the subject area using analytical probabilistic model. This study presented the average annual COSs and number of COSs when the interceptor capacity is in the range $3{\times}DWF$ (dry weather flow). Also, calculated the average annual mass of pollutant lost in CSOs using Event Mean Concentration. Finally, this study presented a decision of storage volume for CSOs reduction and water quality protection.
Keywords
Analytical probabilistic model; Combined sewer overflows; Event mean concentration;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
연도 인용수 순위
1 김건하, 권세혁, 농지.임야유역의 비점원 발생 BOD 부하의 추정, 한국물환경학회지, 21(6), pp. 617-623 (2005a)
2 권재호, 비점오염원 산정을 위한 강우분석, 고려대학교 석사학위논문 (2003)
3 조덕준, 김명수, 이정호, 김중훈, 연속 강우-유출 모의기법을 이용한 최적 CSOs 산정에 관한 연구, 한국물환경학회지, 22(6), pp. 1068-1074 (2006b)
4 Adams, B. J., Fraser, H. G., Howard, C. D. D. and Hanafy, M. S., Meteorological Data Analysis for Urban Drainage System Design, Journal of Environmetal Engineering, 112(5), pp. 827-848 (1986)   DOI   ScienceOn
5 Eagleson, P. S., Dynamics of Flood Frequency, Water Resources Research, 8(4), pp. 878-897 (1972)   DOI
6 김이형, 이선하, 주차장 및 교량지역의 강우유출수내 비점오염 물질의 특성 비 교 및 동적 EMCs, 한국물환경학회지, 21(3), pp. 617-623 (2005b)
7 조덕준, 김건하, 소규모 도시유역 합류식 하수관거 월류수 특성화 및 최적 저류지 용량결정, 한국물환경학회지, 22(2), pp. 314-320 (2006a)
8 구리시, 한강수계 하수관거 정비공사 기본설계보고서 (2003)
9 조덕준, 위험도 기반 지역별 정규 CSOs 곡선 설계에 관한 연구, 한국수자원학회 논문집, 39(7), pp. 578-581 (2006)   과학기술학회마을   DOI
10 Adams, B. J. and Papa, F., Urban Stormwater Management Planning with Analytical Probabilistic Models HOHN WILEY & SONS, INC. (2000)
11 김건하, 금강유역 비점원에서 발생하는 미생물 오염 및 수질에 대한 영향, 한국물환경학회지, 22(3), pp. 504-512 (2006)
12 유병로, 정승권, 전계원, 공간정보를 이용한 분포형 유역 수질 모의, 한국수자원학회 논문집, 37(11), pp. 897-913 (2004)
13 한국수도협회, 하수도시절기준 (1998)