Water quality trend analysis in a citywide water distribution system

Rapid urbanization poses challenges to meet the increased water supply demands. Apart from the quantity, the distributed water quality often fails to meet the permissible level. This study aimed to conduct a citywide spatio-temporal variation of water quality parameters. Water sampling points were s...

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Autores principales:	Keya Chowdhury, Aysha Akter
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	analytical hierarchical process (ahp) pipe physical properties water distribution network water quality index (wqi) Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/0374040cc74e4ef98a8ea549d496070c
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id	oai:doaj.org-article:0374040cc74e4ef98a8ea549d496070c
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spelling	oai:doaj.org-article:0374040cc74e4ef98a8ea549d496070c2021-12-02T07:41:06ZWater quality trend analysis in a citywide water distribution system0273-12231996-973210.2166/wst.2021.342https://doaj.org/article/0374040cc74e4ef98a8ea549d496070c2021-11-01T00:00:00Zhttp://wst.iwaponline.com/content/84/10-11/3191https://doaj.org/toc/0273-1223https://doaj.org/toc/1996-9732Rapid urbanization poses challenges to meet the increased water supply demands. Apart from the quantity, the distributed water quality often fails to meet the permissible level. This study aimed to conduct a citywide spatio-temporal variation of water quality parameters. Water sampling points were selected by applying the Analytical Hierarchical Process (AHP) technique using ArcGIS considering pipe leakage, source water quality, pipe age, and pipe materials. The Chattogram city comprises 397 km of pipes; pipe material distribution shows 71.28% PVC, 20.94% asbestos, 5.16% mild steel, 2.17% ductile, and 0.45% cast iron. The citywide pipe network was established in 1963; 20.87% of pipes aged over 30 years, 15.07% 20–30 years, 26.38% 10–20 years, and 37.68% pipelines are relatively new, i.e., within 0–10 years. Eight water quality parameters, i.e., pH, temperature, turbidity, biochemical oxygen demand after five days (BOD5), total coliform, fecal coliform, chloride, and residual chlorine, were collected from the secondary source cross-checked by field survey. Computation of the Water Quality Index (WQI) was interpolated using Inverse Distance Weighted (IDW) method to generate a WQI map. Thus, this study could be a basis to improve the treatment system and proper distribution network maintenance. HIGHLIGHTS Spatio-temporal variation of water quality parameters in the citywide distribution system.; Water sampling locations were identified using the Analytical Hierarchical Process (AHP).; Inverse Distance Weighted (IDW) method to generate a Water Quality Index (WQI) map.;Keya ChowdhuryAysha AkterIWA Publishingarticleanalytical hierarchical process (ahp)pipe physical propertieswater distribution networkwater quality index (wqi)Environmental technology. Sanitary engineeringTD1-1066ENWater Science and Technology, Vol 84, Iss 10-11, Pp 3191-3210 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	analytical hierarchical process (ahp) pipe physical properties water distribution network water quality index (wqi) Environmental technology. Sanitary engineering TD1-1066
spellingShingle	analytical hierarchical process (ahp) pipe physical properties water distribution network water quality index (wqi) Environmental technology. Sanitary engineering TD1-1066 Keya Chowdhury Aysha Akter Water quality trend analysis in a citywide water distribution system
description	Rapid urbanization poses challenges to meet the increased water supply demands. Apart from the quantity, the distributed water quality often fails to meet the permissible level. This study aimed to conduct a citywide spatio-temporal variation of water quality parameters. Water sampling points were selected by applying the Analytical Hierarchical Process (AHP) technique using ArcGIS considering pipe leakage, source water quality, pipe age, and pipe materials. The Chattogram city comprises 397 km of pipes; pipe material distribution shows 71.28% PVC, 20.94% asbestos, 5.16% mild steel, 2.17% ductile, and 0.45% cast iron. The citywide pipe network was established in 1963; 20.87% of pipes aged over 30 years, 15.07% 20–30 years, 26.38% 10–20 years, and 37.68% pipelines are relatively new, i.e., within 0–10 years. Eight water quality parameters, i.e., pH, temperature, turbidity, biochemical oxygen demand after five days (BOD5), total coliform, fecal coliform, chloride, and residual chlorine, were collected from the secondary source cross-checked by field survey. Computation of the Water Quality Index (WQI) was interpolated using Inverse Distance Weighted (IDW) method to generate a WQI map. Thus, this study could be a basis to improve the treatment system and proper distribution network maintenance. HIGHLIGHTS Spatio-temporal variation of water quality parameters in the citywide distribution system.; Water sampling locations were identified using the Analytical Hierarchical Process (AHP).; Inverse Distance Weighted (IDW) method to generate a Water Quality Index (WQI) map.;
format	article
author	Keya Chowdhury Aysha Akter
author_facet	Keya Chowdhury Aysha Akter
author_sort	Keya Chowdhury
title	Water quality trend analysis in a citywide water distribution system
title_short	Water quality trend analysis in a citywide water distribution system
title_full	Water quality trend analysis in a citywide water distribution system
title_fullStr	Water quality trend analysis in a citywide water distribution system
title_full_unstemmed	Water quality trend analysis in a citywide water distribution system
title_sort	water quality trend analysis in a citywide water distribution system
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/0374040cc74e4ef98a8ea549d496070c
work_keys_str_mv	AT keyachowdhury waterqualitytrendanalysisinacitywidewaterdistributionsystem AT ayshaakter waterqualitytrendanalysisinacitywidewaterdistributionsystem
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Water quality trend analysis in a citywide water distribution system

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