Reliable water supply system design under uncertainty

Chung, Gunhui; Lansey, Kevin; Bayraksan, Güzi̇n

doi:10.1016/j.envsoft.2008.08.007

Cited by 86 publications

(31 citation statements)

References 20 publications

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“…All input data for each module in the system were based on the weather data in southern western USA as presented in Chung (2007). The model was simulated from 2000 to 2020 seasonally, i.e., growing (May-Oct) and non-growing (Nov-Apr) season.…”

Section: Hypothetical Water Supply Systemmentioning

confidence: 99%

System dynamics modeling approach to water supply system

Chung¹,

Kim²,

Kim³

2008

KSCE J Civ Eng

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A water supply system is a comprehensive system including the components of water users, sources, treatment plants, and transportation measures. The complex nature of a water supply system, however, has made hard to develop and evaluate a comprehensive and generic water supply system model. In this study, a generic water supply system model is used to evaluate water sustainability for a hypothetical system in the semi-arid area. An environment for object-oriented system dynamics model allows the decision maker to develop a model that can be understood easily by the stakeholder and non-modeler. The modular structure of the generic water supply system also allows for integration of a site specific model by combining modules which a modeler may wish to have in the system. Imported and reclaimed waters to support groundwater as alternative water sources are evaluated in the hypothetical system in this study. As a result, alternative water sources demonstrate an important role to maintain water sustainability of the system when groundwater is the main source.

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Section: Hypothetical Water Supply Systemmentioning

confidence: 99%

System dynamics modeling approach to water supply system

Chung¹,

Kim²,

Kim³

2008

KSCE J Civ Eng

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“…Perelman et al (2008) developed a Cross Entropy multiobjective optimization method for WDS design, where the objectives were to minimize the cost and maximize the minimum pressure across the water network. Chung et al (2009) considered a municipal water supply system over a 15-year planning period with existing infrastructure and the possibility of construction and expansion during the first and sixth year on the planning horizon using the Bertsimas and Sim approach. In the Bertsimas and Sim approach, a trade-off between the water network reliability and the economic cost was provided for the municipal WDS.…”

Section: Introductionmentioning

confidence: 99%

An efficient decomposition and dual-stage multi-objective optimization method for water distribution systems with multiple supply sources

Zheng

Zecchin

2014

Environmental Modelling & Software

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“…The effects of uncertainties in water management resource systems have been widely studied [119][120][121]. Understanding the uniqueness of hydraulic in water distribution systems is important for building robust models and or performing vulnerability assessments and reasonable uncertainties that produce high degrees of uncertainty in estimated exposure levels which was discussed by Torres et al [122].…”

Section: Simulation-optimisation Approachmentioning

confidence: 99%

Towards Development of an Optimization Model to Identify Contamination Source in a Water Distribution Network

Adedoja

Hamam

Khalaf

et al. 2018

Water

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Protection of the water system is paramount due to the negative consequences of contaminated water on the public health. Water resources are one of the critical infrastructures that must be preserved from deliberate and accidental attacks. Water qualities are examined at the treatment plant. However, its quality can substantially be contaminated during transportation from the plant to the consumers' taps. Contamination in water distribution networks (WDNs) is a danger that can have severe consequences on public health as well as an economic and social instability. Water distribution networks are immensely susceptible to deliberate or accidental attacks due to the complex nature of the system. Hence, contamination source identification (CSI) is a topical issue in water distribution systems that require immediate attention of researchers in order to protect mankind from the adverse effect of consuming contaminated water. Usually, a contaminant event can be detected by the water quality monitoring sensors or the contaminant warning system (CWS) installed on the network. Nevertheless, how to derive the source of the contamination from the collected information is a difficult task that must be tackled in order to evaluate the spread of the contamination and for immediate remedial strategies. In the past two decades, considerable efforts and advancement have been made by researchers applying various techniques in order to locate the source of the contamination in WDNs. Each of the techniques has certain limitations and applicability as reported in the literature. This paper presents a comprehensive review of the existing techniques with emphasis on their importance and technical challenges. Despite a series of investigations in this domain, the field is yet to be unified. Hence, open research areas are still available to explore. Consequently, improvement on the existing techniques is necessary and hereby suggested. More importantly, practical application of these techniques offer a major research gap that must be addressed.

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Reliable water supply system design under uncertainty

Cited by 86 publications

References 20 publications

System dynamics modeling approach to water supply system

System dynamics modeling approach to water supply system

An efficient decomposition and dual-stage multi-objective optimization method for water distribution systems with multiple supply sources

Towards Development of an Optimization Model to Identify Contamination Source in a Water Distribution Network

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