{ "dc.contributor.author": "Martínez Álvarez, David" , "dc.contributor.author": "Calle Ortega, Eusebi" , "dc.contributor.author": "Bergillos Pedraza, Sergi" , "dc.contributor.author": "Corominas Tabares, Lluís" , "dc.contributor.author": "Comas Cufí, Marc" , "dc.date.accessioned": "2024-03-21T09:24:44Z" , "dc.date.available": "2024-03-21T09:24:44Z" , "dc.date.issued": "2024-01-15" , "dc.identifier.uri": "http://hdl.handle.net/10256/24644" , "dc.description.abstract": "Wastewater networks are subject to several threats leading to wastewater leakages and public health hazards. External elements such as natural factors and human activities are common causes of wastewater leakages and require more in-depth analysis. Prevention and rehabilitation work is essential to secure wastewater networks and avoid pipe failures. This work presents a new algorithm that allows for the seamless integration of sewer topology and tree location data to diagnose the potential impact of tree roots on pipes. The algorithm also proposes tree rearrangement options that balance the cost of tree rearrangement with the cost of pipe repair. The paper also showcases a real-world case study in the city of Girona to evaluate the performance of the presented algorithms for a specific case focusing on tree roots as a natural factor. Results show that it is possible to optimally rearrange a number of the trees with the greatest impact, significantly minimizing pipe failures and wastewater leakages (82% risk reduction with only rearranging a 12% of the most impactful trees). The rearrangement solution not only protects the environment and prevents public health hazards, but also achieves a positive economic payback during the operational period of the pipes, saving up to 1.33M€ for a tree rearrangement of 7%. The presented methodology is applicable to other natural or human factors" , "dc.description.sponsorship": "Universitat de Girona researchers thank the Generalitat de Catalunya for their support through Consolidated Research Group (2021 SGR 01125). ICRA researchers acknowledge the support from the Economy and Knowledge Department of the Catalan Government through a Consolidated Research Group (ICRA-TECH - 2021 SGR 01283). David Martínez thanks the Universitat de Girona for his FI fellowship (IFUdG 46 2022). Sergi Bergillos thanks the Departament de Recerca i Universitats de la Generalitat de Catalunya and the European Social Fund for his FI fellowship (2023 FI-1 00751). Marc Comas-Cufí holds the Serra Húnter Fellow" , "dc.description.sponsorship": "Open Access funding provided thanks to the CRUE-CSIC agreement with Elsevier" , "dc.format.mimetype": "application/pdf" , "dc.language.iso": "eng" , "dc.publisher": "Elsevier" , "dc.relation.isformatof": "Reproducció digital del document publicat a: https://doi.org/10.1016/j.heliyon.2023.e23382" , "dc.relation.ispartof": "Heliyon, 2024, vol. 10, núm. 1, p. e23382" , "dc.relation.ispartofseries": "Articles publicats (D-ATC)" , "dc.rights": "Attribution 4.0 International" , "dc.rights.uri": "http://creativecommons.org/licenses/by/4.0/" , "dc.subject": "Algorismes computacionals" , "dc.subject": "Computer algorithms" , "dc.subject": "Clavegueram" , "dc.subject": "Sewerage" , "dc.title": "Seamless integration of sewer system topology and tree location data: An algorithm to diagnose the potential impact of tree roots on pipes and propose rearrangement solutions" , "dc.type": "info:eu-repo/semantics/article" , "dc.rights.accessRights": "info:eu-repo/semantics/openAccess" , "dc.type.version": "info:eu-repo/semantics/publishedVersion" , "dc.identifier.doi": "https://doi.org/10.1016/j.heliyon.2023.e23382" , "dc.identifier.idgrec": "038371" , "dc.type.peerreviewed": "peer-reviewed" , "dc.identifier.eissn": "2405-8440" , "dc.description.ods": "9" }