Asset Details
Do you wish to reserve the book?
Decision Support System for Risk And Water Quality Management in Water Distribution Network
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Decision Support System for Risk And Water Quality Management in Water Distribution Network
Do you wish to request the book?
Decision Support System for Risk And Water Quality Management in Water Distribution Network
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Dissertation
Decision Support System for Risk And Water Quality Management in Water Distribution Network
2014
Overview
Delivering water in sufficient quantity and acceptable quality is the main objective of water distribution networks (WDN) and at the same time is the main challenge. WDN risk assessment is gaining importance worldwide due to the wide range of factors that could alter the operation of WDN and the scarcity of data of some of these parameters. Some of these factors are relevant to water quality, quantity and the condition of the infrastructure itself. The deterioration of water quality in the WDN leads to failure at the water quality level, which can be critical because it is closest to the point of delivery and there are virtually no safety barriers before consumption. This research developed a decision support system (DSS) to identify the risk, vulnerable and sensitive locations in WDN that may lead to overall system failure caused by deterioration, insufficient and/or critical conditions of water quality, quantity and infrastructure, respectively. In addition, using water demand and the identified risk, vulnerable and sensitive locations, water quality monitoring system was developed. To achieve the objectives of this research, an aggregate vulnerability index, representing likelihood of system failure, was developed using multi-criteria decision models. Similarly, the potential impacts (consequences) in terms of sensitivity index were evaluated. Advanced soft computing methods including fuzzy synthetic evaluation (FSE) and fuzzy rule-based (FRB) were used to develop these indices. In addition, a risk index on both vulnerability and sensitivity indices was developed, and Geographic Information System (GIS) was used for data display. Other tools, such as WaterGEMs (for hydraulic simulations of distribution network) and (fuzzy-based) techniques were implemented for the prioritization of regions based on risk, vulnerability and sensitivity in distribution network. Optimization techniques including mixed integer programming (MIP) and multi-criteria decision making (MCDM) were used to develop water quality monitoring system. The developed DSS was applied to a local water distribution network (Al-Khobar WDN) to study the vulnerability and sensitivity of the network and recommend a suitable risk management strategy, which was used to manage, control and/or reduce the overall risk of failure of the network.
Publisher
ProQuest Dissertations & Theses
Subject
ISBN
9780355571370, 0355571374
