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Type: Journal article
Title: A Review of Sources of Uncertainty in Optimization Objectives of Water Distribution Systems
Author: Dandy, G.
Wu, W.
Simpson, A.
Leonard, M.
Citation: Water: an open access journal, 2022; 15(1):1-17
Publisher: MDPI AG
Issue Date: 2022
ISSN: 2073-4441
Statement of
Graeme Dandy, Wenyan Wu, Angus Simpson, and Michael Leonard
Abstract: Many studies have applied optimization to the planning, design, rehabilitation or operation of water distribution systems. Recent reviews of the research literature in this area have identified hundreds of papers that address these topics. The objectives considered include variables measuring direct impact of the system such as cost, energy, greenhouse gas emissions, as well as performance variables such as pressure deficit and system reliability. Very few of these studies have considered the effects of the various sources of uncertainty on the objectives considered. The sources of uncertainty include model related uncertainty such as uncertainty in model structure and parameters (e.g., pipe roughness and chemical reaction rates for water quality studies), data related uncertainty such as uncertainty in water demand due to natural variability in the short-term or population growth and/or climate change in the long-term, and human related uncertainty such as lack of knowledge about the physical network as well as modelling errors. This paper is aimed at reviewing the relative importance of these various sources of uncertainty on the key optimization objectives. It also summarizes the key literature in this area and identifies areas where there have been few publications.
Keywords: uncertainty; optimization; objectives; water distribution system
Rights: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// 4.0/).
DOI: 10.3390/w15010136
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Appears in Collections:Civil and Environmental Engineering publications

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