Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Downscale Methodology for Determining Priority Orders of the Sewer Rehabilitation

Full metadata record
DC Field Value Language
dc.contributor.authorKim, Tae Jin-
dc.contributor.authorKim, Joong Hoon-
dc.date.accessioned2021-09-05T22:28:50Z-
dc.date.available2021-09-05T22:28:50Z-
dc.date.created2021-06-14-
dc.date.issued2013-09-
dc.identifier.issn1061-4303-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/102403-
dc.description.abstractAlthough inflow/infiltration (I/I) is one of the main factors used to decrease efficiency in sewer capacity and wastewater treatment, due to budget constraints, it is sampled only at the outlet point. Accordingly, the rehabilitation orders of defected sewers are determined for each drainage area without the consideration of I/I in each sewer. This study focuses on the development of a sampled I/I distribution (I2D) model and a decision-making model for sewer rehabilitation. The I2D model is developed based on the unit sewer defect value. The decision making model, developed using a genetic algorithm, is simulated with the consideration of sewer rehabilitation, wastewater treatment cost, and distributed I/I amount in each sewer on the budget. When the simulation results are compared with those of a numerical weighting method, it is concluded that the integrated model provides a detailed and systematic sewer rehabilitation plan from watershed-scale drainage areas to field-scale drainage areas.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherWILEY-
dc.subjectSUPPORT-SYSTEM-
dc.subjectINFILTRATION-
dc.subjectMODEL-
dc.subjectOPTIMIZATION-
dc.subjectINFLOW-
dc.titleDownscale Methodology for Determining Priority Orders of the Sewer Rehabilitation-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Joong Hoon-
dc.identifier.doi10.2175/106143013X13736496909149-
dc.identifier.scopusid2-s2.0-84883341218-
dc.identifier.wosid000324136100009-
dc.identifier.bibliographicCitationWATER ENVIRONMENT RESEARCH, v.85, no.9, pp.843 - 854-
dc.relation.isPartOfWATER ENVIRONMENT RESEARCH-
dc.citation.titleWATER ENVIRONMENT RESEARCH-
dc.citation.volume85-
dc.citation.number9-
dc.citation.startPage843-
dc.citation.endPage854-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaEnvironmental Sciences & Ecology-
dc.relation.journalResearchAreaMarine & Freshwater Biology-
dc.relation.journalResearchAreaWater Resources-
dc.relation.journalWebOfScienceCategoryEngineering, Environmental-
dc.relation.journalWebOfScienceCategoryEnvironmental Sciences-
dc.relation.journalWebOfScienceCategoryLimnology-
dc.relation.journalWebOfScienceCategoryWater Resources-
dc.subject.keywordPlusSUPPORT-SYSTEM-
dc.subject.keywordPlusINFILTRATION-
dc.subject.keywordPlusMODEL-
dc.subject.keywordPlusOPTIMIZATION-
dc.subject.keywordPlusINFLOW-
dc.subject.keywordAuthordefects-
dc.subject.keywordAuthorgenetic algorithm-
dc.subject.keywordAuthorinflow/infiltration-
dc.subject.keywordAuthoroptimization: SWMM-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Civil, Environmental and Architectural Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE