Decision Support Tool for Design and Reliability Assessment of Water Distribution Networks

2012 ◽  
pp. 263-298
Keyword(s):  
Decision Support ◽  
Water Distribution ◽  
Reliability Assessment ◽  
Decision Support Tool ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Support Tool

scholarly journals Topological clustering as a tool for planning water quality monitoring in water distribution networks

2015 ◽  
Vol 15 (5) ◽  
pp. 1011-1018 ◽  
Author(s):  
Jonas Kjeld Kirstein ◽  
Hans-Jørgen Albrechtsen ◽  
Martin Rygaard
Keyword(s):  
Water Quality ◽  
Decision Support ◽  
Network Model ◽  
Water Distribution ◽  
Water Movement ◽  
Decision Support Tool ◽  
Water Quality Monitoring ◽  
Distribution Networks ◽  
Quality Monitoring ◽  
Support Tool

Topological clustering was explored as a tool for water supply utilities in preparation of monitoring and contamination contingency plans. A complex water distribution network model of Copenhagen, Denmark, was simplified by topological clustering into recognizable water movement patterns to: (1) identify steady clusters for a part of the network where an actual contamination has occurred; (2) analyze this event by the use of mesh diagrams; and (3) analyze the use of mesh diagrams as a decision support tool for planning water quality monitoring. Initially, the network model was divided into strongly and weakly connected clusters for selected time periods and mesh diagrams were used for analysing cluster connections in the Nørrebro district. Here, areas of particular interest for water quality monitoring were identified by including user-information about consumption rates and consumers particular sensitive towards water quality deterioration. The analysis revealed sampling locations within steady clusters, which increased samples' comparability over time. Furthermore, the method provided a simplified overview of water movement in complex distribution networks, and could assist identification of potential contamination and affected consumers in contamination cases. Although still in development, the method shows potential for assisting utilities during planning of monitoring programs and as decision support tool during emergency contingency situations.

Entropy of centrality values for topological vulnerability analysis of water distribution networks

2019 ◽  
Vol 9 (3) ◽  
pp. 412-425 ◽  
Author(s):  
Seyed Ashkan Zarghami ◽  
Indra Gunawan ◽  
Frank Schultmann
Keyword(s):  
Information Entropy ◽  
Water Distribution ◽  
Decision Support Tool ◽  
Distribution Networks ◽  
Vulnerability Analysis ◽  
Significant Loss ◽  
Water Distribution Networks ◽  
Content Type ◽  
Support Tool ◽  
Topological Vulnerability Analysis

Purpose The increased complexity of water distribution networks (WDNs) emphasizes the importance of studying the relationship between topology and vulnerability of these networks. However, the few existing studies on this subject measure the vulnerability at a specific location and ignore to quantify the vulnerability as a whole. The purpose of this paper is to fill this gap by extending the topological vulnerability analysis further to the global level. Design/methodology/approach This paper introduces a two-step procedure. In the first step, this work evaluates the degree of influence of a node by employing graph theory quantities. In the second step, information entropy is used as a tool to quantify the global vulnerability of WDNs. Findings The vulnerability analysis results showed that a network with uniformly distributed centrality values exhibits a lower drop in performance in the case of partial failure of its components and therefore is less vulnerable. In other words, the failure of a highly central node leads to a significant loss of performance in the network. Practical implications The vulnerability analysis method, developed in this work, provides a decision support tool to implement a cost-effective maintenance strategy, which relies on identifying and prioritizing the vulnerabilities, thereby reducing expenditures on maintenance activities. Originality/value By situating the research in the entropy theory context, for the first time, this paper demonstrates how heterogeneity and homogeneity of centrality values measured by the information entropy can be interpreted in terms of the network vulnerability.

scholarly journals Overview of microbial risks in water distribution networks and their health consequences: quantification, modelling, trends, and future implications

2019 ◽  
Vol 46 (3) ◽  
pp. 149-159 ◽  
Author(s):  
Victor Viñas ◽  
Annika Malm ◽  
Thomas J.R. Pettersson
Keyword(s):  
Risk Management ◽  
Decision Support ◽  
Water Distribution ◽  
Risk Mitigation ◽  
Distribution Network ◽  
Water Quality Monitoring ◽  
Distribution Networks ◽  
Quantitative Microbial Risk Assessment ◽  
Support Tool ◽  
Microbial Risks

The water distribution network (WDN) is usually the final physical barrier preventing contamination of the drinking water before it reaches consumers. Because the WDN is at the end of the supply chain, and often with limited online water quality monitoring, the probability of an incident to be detected and remediated in time is low. Microbial risks that can affect the distribution network are: intrusion, cross-connections and backflows, inadequate management of reservoirs, improper main pipe repair and (or) maintenance work, and biofilms. Epidemiological investigations have proven that these risks have been sources of waterborne outbreaks. Increasingly since the 1990s, studies have also indicated that the contribution of these risks to the endemic level of disease is not negligible. To address the increasing health risks associated to WDNs, researchers have developed tools for risk quantification and risk management. This review aims to present the recent advancements in the field involving epidemiological investigations, use of quantitative microbial risk assessment (QMRA) for modelling, risk mitigation, and decision-support. Increasing the awareness of the progress achieved, but also of the limitations and challenges faced, will aid in accelerating the implementation of QMRA tools for WDN risk management and as a decision-support tool.

Smart Grid Vendée project: a decision-support tool for the multi-year planning of active distribution networks

2017 ◽  
Vol 2017 (1) ◽  
pp. 1988-1992 ◽  
Author(s):  
Héloïse Dutrieux Baraffe ◽  
Aländji Bouorakima ◽  
Gilles Malarange ◽  
Marie-Anne Lafittau ◽  
Guillaume Pelton
Keyword(s):  
Decision Support ◽  
Smart Grid ◽  
Decision Support Tool ◽  
Distribution Networks ◽  
Support Tool ◽  
Active Distribution Networks

Reliability Assessment Model for Water Distribution Networks

2020 ◽  
Vol 11 (2) ◽  
pp. 04019059
Author(s):  
Mohammed Alsharqawi ◽  
Tarek Zayed ◽  
Laya Parvizsedghy ◽  
Ahmed Senouci ◽  
Hassan Al-Derham
Keyword(s):  
Water Distribution ◽  
Reliability Assessment ◽  
Distribution Networks ◽  
Assessment Model ◽  
Water Distribution Networks
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