Model study for rehabilitation planning of water supply network

Sargaonkar, Aabha; Kamble, Swapnil R.; Rao, R. Ravindar

doi:10.1016/j.compenvurbsys.2012.08.002

Cited by 22 publications

(13 citation statements)

References 17 publications

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“…For utilities already familiar with GISproducts, GISMOWA is easy to implement and results in an easily comprehendible overview of the DS, necessary when determining a monitoring strategy. Also, several new parameters were introduced and more data was integrated in this study compared to previous studies (Besner et al, 2005(Besner et al, , 2001Furnass et al, 2013;Sargaonkar et al, 2013;Trépanier et al, 2006;Vairavamoorthy et al, 2007;Wang et al, 2014). The use of MCDA in combination with local knowledge in the identification of monitoring sites has a major advantage since the users can apply their preferences with respect to parameter selection and ranking.…”

Section: Applicability Of Gismowamentioning

confidence: 97%

“…Research based on GIS tools has included development of methods to link historical water quality issues, such as positive coliform sampling, to the DS by network topologies and hydraulics (Besner et al, 2005(Besner et al, , 2001Furnass et al, 2013). Other studies have combined modelling of contaminant transport in saturated and unsaturated zones with pipe condition assessments in a GIS-based risk assessment (Sargaonkar et al, 2013;Vairavamoorthy et al, 2007). Populations at risk, sensitive consumers, hydraulics and water quality parameters were furthermore combined in a ranking procedure to locate monitoring sites in a DS (Bahadur et al, 2003;Lindley and Buchberger, 2002).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

GISMOWA: Geospatial Risk-Based Analysis Identifying Water Quality Monitoring Sites in Distribution Systems

Larsen

Christensen²,

Albrechtsen³

et al. 2017

J. Water Resour. Plann. Manage.

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Monitoring water quality in drinking water distribution systems is the base for pro-active approaches to prevent or manage emerging water quality issues, and such a monitoring requires a strategic selection of relevant and representative monitoring sites. GISMOWA is a new GIS and risk-based analysis tool to identify and to prioritise pipe segments for water quality monitoring and to comply with existing monitoring and sampling guidelines. The tool was designed to integrate multiple parameters categorized as 1) Hydraulic and structural weaknesses in the system, e.g. residence time, 2) External threats, e.g. contaminated sites, and 3) Sensitive consumers, e.g. hospitals in a GIS environment. The tool used a multi-criteria decision analysis to evaluate multiple monitoring site parameters and map zones particularly suitable for water quality monitoring. GISMOWA was applied to Danish water distribution systems as a transparent and simple-to-use tool which facilitated a complete overview of the distribution system, including sensitive consumers and consumers in general, and thus fulfilling a precondition for a HACCP-based monitoring strategy of drinking water.

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Section: Applicability Of Gismowamentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

GISMOWA: Geospatial Risk-Based Analysis Identifying Water Quality Monitoring Sites in Distribution Systems

Larsen

Christensen²,

Albrechtsen³

et al. 2017

J. Water Resour. Plann. Manage.

View full text Add to dashboard Cite

show abstract

“…Achieving this goal is threatened by water shortages, lack of supply guarantees [6] and poor quality of supplied water. Although it is considered that the drinking water supplied through pipeline systems is safe, many studies show that deficiencies in the network, caused by IWS, can create conditions so that water is not safe and reliable [7][8][9][10][11][12][13]. The lack of reliable water supply systems in developing countries can undermine much of the hope for improvements in public health [14], and have negative effects for drinking water system objectives [15].…”

Section: Introductionmentioning

confidence: 99%

“…The cost of risks to the health of users must also be considered (in terms of their incomes, medical treatments, etc.) as it is much greater than the cost of replacing deficient pipes [11] that are detrimental to continuous water supply.…”

Section: Introductionmentioning

confidence: 99%

Network Capacity Assessment and Increase in Systems with Intermittent Water Supply

Ilaya-Ayza

Campbell

Pérez‐García

et al. 2016

Water

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Water supply systems have been facing many challenges in recent decades due to the potential effects of climate change and rapid population growth. Water systems need to expand because of demographic growth. Therefore, evaluating and increasing system capacity is crucial. Specifically, we analyze network capacity as one of the main features of a system. When the network capacity starts to decrease, there is a risk that continuous supply will become intermittent. This paper discusses how network expansion carried out throughout the network life span typically reduces network capacity, thus transforming a system originally designed to work with continuous supply into a system with intermittent supply. A method is proposed to expand the network capacity in an environment of economic scarcity through a greedy algorithm that enables the definition of a schedule for pipe modification stages, and thus efficiently expands the network capacity. This method is, at the same time, an important step in the process of changing a water system from intermittent back to continuous supply-an achievement that remains one of the main challenges related to water and health in developing countries.

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“…Metropolitan-level studies on time-series changes in water demand in specific cities and countries have been conducted (Danielson, 1979;Lee, Bogardi, & Kim, 2000;Mulwafu et al, 2003;Voivontas, Arampatzis, Manoli, Karavitis, & Assimacopoulos, 2003;Darrel Jenerette, & Larsen, 2006;Akbar, Minnery, Van Horen, & Smith, 2007;Chung et al, 2008;Vairavamoorthy, Gorantiwar, & Pathirana, 2008). As an advanced form of these studies, we have suggested a model for water supply in certain targeted regions or circumstances (Ghizellaoui & Djebbar, 2007;Loo, Fane, Krantz, & Lim, 2012;Sargaonkar, Kamble, & Rao, 2013;Bin, Longshuang, Wenliang, Huiting, & Xin, 2013;Shafiqul Islam, Sadiq, Rodriguez, Najjaran, & Hoorfar, 2013).…”

Section: Introductionmentioning

confidence: 99%

Development of small district adjustment based on public water demand to decrease the municipal water supply load

Lee

Hong

2014

Urban Water Journal

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This research microscopically estimates the spatial distribution of water demand and aims to use this to improve the existing zone system. So, this study used geographic information system (GIS) to predict the spatial distribution of water demand according to building unit by applying the basic unit of water use by purpose. Based on the results, the buildings were then grouped into blocks to produce a methodology for controlling small districts using a microscopic approach to decrease the water supply load based on water demand per block. Finally, verification was conducted by quantitatively evaluating the load-decreasing effect through the application of the above methodology. We evaluated efficiency and verified the study's methodology by analysing urban areas that had been Manhattanized and densificated, finding a reduction of approximately 16.7%. The possibility of expanding the study's scope to medium and large districts was suggested.

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Model study for rehabilitation planning of water supply network

Cited by 22 publications

References 17 publications

GISMOWA: Geospatial Risk-Based Analysis Identifying Water Quality Monitoring Sites in Distribution Systems

GISMOWA: Geospatial Risk-Based Analysis Identifying Water Quality Monitoring Sites in Distribution Systems

Network Capacity Assessment and Increase in Systems with Intermittent Water Supply

Development of small district adjustment based on public water demand to decrease the municipal water supply load

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