Stochastic simulation methodology for resilience assessment of water distribution networks
Leon F. Gay and
Sunil K. Sinha
International Journal of Critical Infrastructures, 2014, vol. 10, issue 2, 134-150
Abstract:
Water distribution systems enable social and economic development and sustain people quality of life. However, these systems face significant performance challenges including ageing, natural disruptive events, and man-made disruptions. Physical protection of networked infrastructure distributed over large geographical areas is unfeasible. A cost-effective alternative is to enhance the water distribution system resilience: ensuring reduced system damage in case of disruption, and enhancing system capacity to recover lost performance within acceptable time and cost limits. This paper presents a novel network-based methodology to evaluate resilience of water distribution systems. This methodology utilises stochastic simulation on a network model to generate statistical data on the resilience probability of the actual water infrastructure system. The methodology is a management decision support tool for enhancing system preparedness, enabling acceptable recovery parameters, and improving the evaluation of capital investment alternatives. The network-based approach can be extended to complex networks integrating physical and non-physical assets.
Keywords: stochastic simulation; resilience assessment; water distribution networks; network modelling; networked infrastructures; water infrastructure; system preparedness; acceptable recovery parameters; capital investment alternatives. (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=62966 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijcist:v:10:y:2014:i:2:p:134-150
Access Statistics for this article
More articles in International Journal of Critical Infrastructures from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().