Residual chlorine management in water distribution systems using network modelling techniques: Case study in Seoul City

J. C. Ahn; Y. W. Kim; K. S. Lee; J. Y. Koo

doi:10.2166/ws.2004.0134

Residual chlorine management in water distribution systems using network modelling techniques: Case study in Seoul City

J. C. Ahn, Y. W. Kim, K. S. Lee, J. Y. Koo

School of Environmental Engineering

Seoul Metropolitan Government

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

Twelve sampling locations in a network from a water treatment plant to consumers' taps were selected for measuring residual chlorine loss, THMs, TOC, etc. and 24 hour sampling in the locations was conducted on a bimonthly basis for one year. Chlorine bulk decay and THM formation tests were carried out by bottle tests under controlled temperatures for three locations: a water treatment plant, a large service reservoir, and a pumping station. Water quality modelling of chlorine loss in the distribution system was performed using data collected in the field study. This study contributed to the improvement of chlorine management in the distribution system by providing information for operators to maintain a minimum level of chlorine residual in a service reservoir.

Original language	English
Pages (from-to)	421-429
Number of pages	9
Journal	Water Science and Technology: Water Supply
Volume	4
Issue number	5-6
DOIs	https://doi.org/10.2166/ws.2004.0134
State	Published - 2004

Keywords

Chlorine decay
Network modelling
Neural networks
Trihalomethanes

Access to Document

10.2166/ws.2004.0134

Cite this

@article{dd25d7f2714641b5a45db663a774e7e7,

title = "Residual chlorine management in water distribution systems using network modelling techniques: Case study in Seoul City",

abstract = "Twelve sampling locations in a network from a water treatment plant to consumers' taps were selected for measuring residual chlorine loss, THMs, TOC, etc. and 24 hour sampling in the locations was conducted on a bimonthly basis for one year. Chlorine bulk decay and THM formation tests were carried out by bottle tests under controlled temperatures for three locations: a water treatment plant, a large service reservoir, and a pumping station. Water quality modelling of chlorine loss in the distribution system was performed using data collected in the field study. This study contributed to the improvement of chlorine management in the distribution system by providing information for operators to maintain a minimum level of chlorine residual in a service reservoir.",

keywords = "Chlorine decay, Network modelling, Neural networks, Trihalomethanes",

author = "Ahn, {J. C.} and Kim, {Y. W.} and Lee, {K. S.} and Koo, {J. Y.}",

year = "2004",

doi = "10.2166/ws.2004.0134",

language = "English",

volume = "4",

pages = "421--429",

journal = "Water Science and Technology: Water Supply",

issn = "1606-9749",

publisher = "IWA Publishing",

number = "5-6",

}

TY - JOUR

T1 - Residual chlorine management in water distribution systems using network modelling techniques

T2 - Case study in Seoul City

AU - Ahn, J. C.

AU - Kim, Y. W.

AU - Lee, K. S.

AU - Koo, J. Y.

PY - 2004

Y1 - 2004

N2 - Twelve sampling locations in a network from a water treatment plant to consumers' taps were selected for measuring residual chlorine loss, THMs, TOC, etc. and 24 hour sampling in the locations was conducted on a bimonthly basis for one year. Chlorine bulk decay and THM formation tests were carried out by bottle tests under controlled temperatures for three locations: a water treatment plant, a large service reservoir, and a pumping station. Water quality modelling of chlorine loss in the distribution system was performed using data collected in the field study. This study contributed to the improvement of chlorine management in the distribution system by providing information for operators to maintain a minimum level of chlorine residual in a service reservoir.

AB - Twelve sampling locations in a network from a water treatment plant to consumers' taps were selected for measuring residual chlorine loss, THMs, TOC, etc. and 24 hour sampling in the locations was conducted on a bimonthly basis for one year. Chlorine bulk decay and THM formation tests were carried out by bottle tests under controlled temperatures for three locations: a water treatment plant, a large service reservoir, and a pumping station. Water quality modelling of chlorine loss in the distribution system was performed using data collected in the field study. This study contributed to the improvement of chlorine management in the distribution system by providing information for operators to maintain a minimum level of chlorine residual in a service reservoir.

KW - Chlorine decay

KW - Network modelling

KW - Neural networks

KW - Trihalomethanes

UR - http://www.scopus.com/inward/record.url?scp=12844261636&partnerID=8YFLogxK

U2 - 10.2166/ws.2004.0134

DO - 10.2166/ws.2004.0134

M3 - Article

AN - SCOPUS:12844261636

SN - 1606-9749

VL - 4

SP - 421

EP - 429

JO - Water Science and Technology: Water Supply

JF - Water Science and Technology: Water Supply

IS - 5-6

ER -

Residual chlorine management in water distribution systems using network modelling techniques: Case study in Seoul City

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this