Yousefian, Reza 
ORCID: https://orcid.org/0000-0003-0442-8816; Émond, Laurent et Duchesne, Sophie ORCID: https://orcid.org/0000-0002-5619-0849
(2025).
Integration of Incomplete Mixing at Junctions of Water Distribution Networks in Contamination Source Identification Tools.
Journal of Water Resources Planning and Management
, vol. 151
, nº 7.
04025019.
DOI: 10.1061/JWRMD5.WRENG-6568.
Résumé
The water quality models used in contamination source identification (CSI) tools assume complete mixing at the junctions ofdrinking water distribution networks. Two extensions of the contamination status algorithm (CSA)—a CSI tool that employs water qualitymodels in a reverse-time manner—were accordingly developed in this study, one assuming complete mixing (CSA-CMX) and the otherassuming incomplete mixing (CSA-IMX) at cross-junctions. Both algorithms identified contamination sources based on the results of grabsampling at iteratively suggested locations. The performances of CSA-CMX and CSA-IMX were evaluated through laboratory experimentsusing three contamination identification problems: CSA-IMX identified the contamination source in all three problems, whereas CSA-CMXidentified the contamination source in only one. Furthermore, the specificity (i.e., the ability to distinguish the real contamination source fromother possible contamination sources) was higher for CSA-IMX than for CSA-CMX in two of the three problems. Therefore, the incompletemixing assumption was confirmed to be a crucial factor in CSI tools.
| Type de document: | Article |
|---|---|
| Mots-clés libres: | contamination source identification (CSI); Contamination status algorithm (CSA); CSA-CMX; CSA-IMX; Drinking water distribution networks |
| Centre: | Centre Eau Terre Environnement |
| Date de dépôt: | 15 sept. 2025 20:05 |
| Dernière modification: | 15 sept. 2025 20:05 |
| URI: | https://espace.inrs.ca/id/eprint/16511 |
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