Comparison of topological, empirical and optimization-based approaches for locating quality detection points in water distribution networks.

Complex network theory Sensor positioning Water protection Water quality Water quality detection Water safety plan

Journal

Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769

Informations de publication

Date de publication:
Jul 2021
Historique:
received: 20 03 2020
accepted: 12 08 2020
pubmed: 28 8 2020
medline: 15 7 2021
entrez: 28 8 2020
Statut: ppublish

Résumé

The positioning of quality detection points as well as the frequency of sampling is a crucial aspect for the implementation of Water Safety Plans (WSPs), which have been proposed worldwide to ensure water quality and to minimize the risk from contamination in water distribution networks (WDNs). In this regard, some international legislations and best practices about quality of drinking water suggest very fine sampling frequencies, but they do not specify where the detection points should be located in a WDN. In this paper, three different approaches, based on empiricism, optimization and topology, respectively, were applied to locate detection quality points in a WDN. The comparison highlighted that empirical approach commonly adopted by water utility practitioners is unsatisfactory. The optimization-based approach, although performing significantly better, is difficult to apply, since it requires a calibrated hydraulic model. The topological approach, based on the use of the betweenness centrality and not requiring any hydraulic information and simulation, proves to be effective, and it can be easily adopted by water utilities to identify the location for quality detection points, due to its simplicity compared with the optimization-based approach.

Identifiants

pubmed: 32851529
doi: 10.1007/s11356-020-10519-3
pii: 10.1007/s11356-020-10519-3
pmc: PMC8275554
doi:

Substances chimiques

Water 059QF0KO0R

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

33844-33853

Informations de copyright

© 2020. The Author(s).

Références

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Auteurs

Giovanni Francesco Santonastaso (GF)

Dipartimento di Ingegneria, Università degli Studi della Campania "L. Vanvitelli", Aversa, Italy. giovannifrancesco.santonastaso@unicampania.it.

Armando Di Nardo (A)

Dipartimento di Ingegneria, Università degli Studi della Campania "L. Vanvitelli", Aversa, Italy.
Istituto Studi Complessi, CNR, Rome, Italy.

Enrico Creaco (E)

Dipartimento di Ingegneria Civile e Architettura, Università degli Studi di Pavia, Pavia, Italy.

Dino Musmarra (D)

Dipartimento di Ingegneria, Università degli Studi della Campania "L. Vanvitelli", Aversa, Italy.

Roberto Greco (R)

Dipartimento di Ingegneria, Università degli Studi della Campania "L. Vanvitelli", Aversa, Italy.

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Classifications MeSH