{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T05:08:19Z","timestamp":1776834499421,"version":"3.51.2"},"reference-count":27,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2024,5,7]],"date-time":"2024-05-07T00:00:00Z","timestamp":1715040000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e Tecnologia (FCT)","doi-asserted-by":"publisher","award":["UIDB\/04625\/2020"],"award-info":[{"award-number":["UIDB\/04625\/2020"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Water"],"abstract":"<jats:p>The condition assessment of water distribution pipes is of utmost importance for the prioritization of rehabilitation interventions. However, the application of available methodologies for condition assessment by water utilities with limited human, technological and financial resources is becoming increasingly complex. The current paper aims at the development and application of a methodology for the prediction of the physical condition of water distribution pipes without the need for visual inspection. The methodology includes the development and application of three different algorithms (heuristic, linear regression and support vector regression). The methodology is applied to a water distribution network located in the Algarve region, Portugal. The results obtained from each algorithm are compared with a well-known performance indicator, the ratio of useful life, and present significant differences in its overall pipe condition classification. Results have demonstrated the following: the ratio of useful life tends to distribute pipe classification more equally in the three classes (i.e., good, average and unsatisfactory); the heuristic algorithm classifies most pipes as average condition; and the linear regression algorithm classifies with unsatisfactory conditions. The support vector regression algorithm stands out as the main classifier for identifying pipes in good condition when compared to other algorithms.<\/jats:p>","DOI":"10.3390\/w16101318","type":"journal-article","created":{"date-parts":[[2024,5,7]],"date-time":"2024-05-07T06:53:27Z","timestamp":1715064807000},"page":"1318","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Assessing Pipe Condition in Water Distribution Networks"],"prefix":"10.3390","volume":"16","author":[{"given":"Marta","family":"Cabral","sequence":"first","affiliation":[{"name":"Civil Engineering Research and Innovation for Sustainability (CERIS), Instituto Superior T\u00e9cnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisbon, Portugal"}]},{"given":"Duarte","family":"Gray","sequence":"additional","affiliation":[{"name":"Civil Engineering Research and Innovation for Sustainability (CERIS), Instituto Superior T\u00e9cnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0616-2281","authenticated-orcid":false,"given":"Bruno","family":"Brentan","sequence":"additional","affiliation":[{"name":"Hydraulic Engineering and Water Resources Department, School of Engineering, Federal University of Minas Gerais (UFMG), Avenida Presidente Ant\u00f4nio Carlos, 6437, Belo Horizonte 31270-901, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6901-4767","authenticated-orcid":false,"given":"D\u00eddia","family":"Covas","sequence":"additional","affiliation":[{"name":"Civil Engineering Research and Innovation for Sustainability (CERIS), Instituto Superior T\u00e9cnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisbon, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2024,5,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2689","DOI":"10.1007\/s11269-017-1655-0","article-title":"Robust bi-objective macroscopic municipal water supply network redesign and rehabilitation","volume":"31","author":"Naderi","year":"2017","journal-title":"Water Resour. Manag."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1007","DOI":"10.2166\/wst.2012.274","article-title":"Prioritization of rehabilitation interventions for urban water assets using multiple criteria decision-aid methods","volume":"66","author":"Covas","year":"2012","journal-title":"Water Sci. Technol."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Ostfeld, A. (2012). Supply System Analysis\u2014Selected Topics, IntechOpen. 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