Network Model Analysis of Residual Chlorine to Reduce Disinfection Byproducts in Water Supply Systems in Yangon City, Myanmar

In Yangon City, chlorination commenced in January 2020 to supply drinkable water; therefore, there is as yet no information on chlorine decay and DBP formation in the water supply system. This study aimed to find methods to optimize chlorine dosage in Yangon City. Onsite sampling and laboratory anal...

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Main Authors: Nwe Nwe Zin, Shinobu Kazama, Satoshi Takizawa
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/13/20/2921
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author Nwe Nwe Zin
Shinobu Kazama
Satoshi Takizawa
author_facet Nwe Nwe Zin
Shinobu Kazama
Satoshi Takizawa
author_sort Nwe Nwe Zin
collection DOAJ
description In Yangon City, chlorination commenced in January 2020 to supply drinkable water; therefore, there is as yet no information on chlorine decay and DBP formation in the water supply system. This study aimed to find methods to optimize chlorine dosage in Yangon City. Onsite sampling and laboratory analyses of residual chlorine and trihalomethane (THM) formation, as well as water quality simulations, were conducted to find the chlorine decay and THM formation kinetics. Due to a high chlorine dose of 2 mg/L for both pre- and post-chlorination, disinfection was effective despite the low removal efficiency of turbidity. However, THMs were found in high levels in both treated and tap water due to the high THM formation potential of raw water. The re-contamination and/or transformation of dissolved organic matter were found in the distribution network by increases in specific ultraviolet absorption (SUVA) values and excitation-emission matrix (EEM) fluorophores, which brought about variations of THMs in the networks. The EPANET models were run assuming there to be no water leakages; it was found that the chlorine dose could be decreased to 0.8 mg/L to meet the guidelines for THMs and residual chlorine. The methods employed in this study could be also applied in other water supply systems in tropical developing countries with limited water quality monitoring data.
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spelling doaj.art-4b3ba4db54e847aea54cc4e6924029e22023-11-22T20:22:42ZengMDPI AGWater2073-44412021-10-011320292110.3390/w13202921Network Model Analysis of Residual Chlorine to Reduce Disinfection Byproducts in Water Supply Systems in Yangon City, MyanmarNwe Nwe Zin0Shinobu Kazama1Satoshi Takizawa2Department of Urban Engineering, Graduate School of Engineering, The University of Tokyo, Bunkyo-Ku, Tokyo 113-8654, JapanDepartment of Urban Engineering, Graduate School of Engineering, The University of Tokyo, Bunkyo-Ku, Tokyo 113-8654, JapanDepartment of Urban Engineering, Graduate School of Engineering, The University of Tokyo, Bunkyo-Ku, Tokyo 113-8654, JapanIn Yangon City, chlorination commenced in January 2020 to supply drinkable water; therefore, there is as yet no information on chlorine decay and DBP formation in the water supply system. This study aimed to find methods to optimize chlorine dosage in Yangon City. Onsite sampling and laboratory analyses of residual chlorine and trihalomethane (THM) formation, as well as water quality simulations, were conducted to find the chlorine decay and THM formation kinetics. Due to a high chlorine dose of 2 mg/L for both pre- and post-chlorination, disinfection was effective despite the low removal efficiency of turbidity. However, THMs were found in high levels in both treated and tap water due to the high THM formation potential of raw water. The re-contamination and/or transformation of dissolved organic matter were found in the distribution network by increases in specific ultraviolet absorption (SUVA) values and excitation-emission matrix (EEM) fluorophores, which brought about variations of THMs in the networks. The EPANET models were run assuming there to be no water leakages; it was found that the chlorine dose could be decreased to 0.8 mg/L to meet the guidelines for THMs and residual chlorine. The methods employed in this study could be also applied in other water supply systems in tropical developing countries with limited water quality monitoring data.https://www.mdpi.com/2073-4441/13/20/2921chlorinationdissolved organic carbonEEMEPANETturbidityTHM formation
spellingShingle Nwe Nwe Zin
Shinobu Kazama
Satoshi Takizawa
Network Model Analysis of Residual Chlorine to Reduce Disinfection Byproducts in Water Supply Systems in Yangon City, Myanmar
Water
chlorination
dissolved organic carbon
EEM
EPANET
turbidity
THM formation
title Network Model Analysis of Residual Chlorine to Reduce Disinfection Byproducts in Water Supply Systems in Yangon City, Myanmar
title_full Network Model Analysis of Residual Chlorine to Reduce Disinfection Byproducts in Water Supply Systems in Yangon City, Myanmar
title_fullStr Network Model Analysis of Residual Chlorine to Reduce Disinfection Byproducts in Water Supply Systems in Yangon City, Myanmar
title_full_unstemmed Network Model Analysis of Residual Chlorine to Reduce Disinfection Byproducts in Water Supply Systems in Yangon City, Myanmar
title_short Network Model Analysis of Residual Chlorine to Reduce Disinfection Byproducts in Water Supply Systems in Yangon City, Myanmar
title_sort network model analysis of residual chlorine to reduce disinfection byproducts in water supply systems in yangon city myanmar
topic chlorination
dissolved organic carbon
EEM
EPANET
turbidity
THM formation
url https://www.mdpi.com/2073-4441/13/20/2921
work_keys_str_mv AT nwenwezin networkmodelanalysisofresidualchlorinetoreducedisinfectionbyproductsinwatersupplysystemsinyangoncitymyanmar
AT shinobukazama networkmodelanalysisofresidualchlorinetoreducedisinfectionbyproductsinwatersupplysystemsinyangoncitymyanmar
AT satoshitakizawa networkmodelanalysisofresidualchlorinetoreducedisinfectionbyproductsinwatersupplysystemsinyangoncitymyanmar