Flow rate influence on sediment depth estimation in sewers using temperature sensors

UDC.coleccionInvestigaciónes_ES
UDC.departamentoEnxeñaría Civiles_ES
UDC.endPage3146es_ES
UDC.grupoInvEnxeñaría da Auga e do Medio Ambiente (GEAMA)es_ES
UDC.institutoCentroCITEEC - Centro de Innovación Tecnolóxica en Edificación e Enxeñaría Civiles_ES
UDC.issue11es_ES
UDC.journalTitleWater Science & Technologyes_ES
UDC.startPage3133es_ES
UDC.volume89es_ES
dc.contributor.authorRegueiro-Picallo, Manuel
dc.contributor.authorSchellart, Alma
dc.contributor.authorJensen, Henriette
dc.contributor.authorLangeveld, Jeroen
dc.contributor.authorViklander, Maria
dc.contributor.authorLundy, Lian
dc.date.accessioned2025-02-07T18:02:42Z
dc.date.available2025-02-07T18:02:42Z
dc.date.issued2024
dc.descriptionThe data collected in the laboratory-scale experimental campaign is openly accessible in ZENODO and available in these in-text data citation reference: Regueiro-Picallo et al. (2024b), with a license Creative Commons Attribution 4.0 International (CC BY-NC 4.0). https://doi.org/10.5281/zenodo.10821837es_ES
dc.description.abstract[Abstract:] Enhancing sediment accumulation monitoring techniques in sewers will enable a better understanding of the build-up processes to develop improved cleaning strategies. Thermal sensors provide a solution to sediment depth estimation by passively monitoring temperature fluctuations in the wastewater and sediment beds, which allows evaluation of the heat-transfer processes in sewer pipes. This study analyses the influence of the flow conditions on heat-transfer processes at the water–sediment interface during dry weather flow conditions. For this purpose, an experimental campaign was performed by establishing different flow, temperature patterns, and sediment depth conditions in an annular flume, which ensured steady flow and room-temperature conditions. Numerical simulations were also performed to assess the impact of flow conditions on the relationships between sediment depth and harmonic parameters derived from wastewater and sediment-bed temperature patterns. Results show that heat transfer between water and sediment occurred instantaneously for velocities greater than 0.1 m/s, and that sediment depth estimations using temperature-based systems were barely sensitive to velocities between 0.1 and 0.4 m/s. A depth estimation accuracy of ±7 mm was achieved. This confirms the ability of using temperature sensors to monitor sediment build-up in sewers under dry weather conditions, without the need for flow monitoring.es_ES
dc.description.sponsorshipThe experimental campaign was funded by the EU under the Horizon 2020 INFRAIA program (Co-UDlabs project. GA No. 101008626). The work developed by Manuel Regueiro-Picallo was funded within the postdoctoral fellowship programme from the Xunta de Galicia (Consellería de Cultura, Educación e Universidade, ED481B-2021-082).es_ES
dc.description.sponsorshipXunta de Galicia; ED481B-2021-082es_ES
dc.identifier.citationManuel Regueiro-Picallo, Alma Schellart, Henriette Jensen, Jeroen Langeveld, Maria Viklander, Lian Lundy; Flow rate influence on sediment depth estimation in sewers using temperature sensors. Water Sci Technol 1 June 2024; 89 (11): 3133–3146. doi: https://doi.org/10.2166/wst.2024.193es_ES
dc.identifier.doi10.2166/wst.2024.193
dc.identifier.urihttp://hdl.handle.net/2183/41120
dc.language.isoenges_ES
dc.publisherIWA Publishinges_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/101008626es_ES
dc.relation.referencestohttps://doi.org/10.5281/zenodo.10821837
dc.relation.urihttps://doi.org/10.2166/wst.2024.193es_ES
dc.rightsAtribuciónes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectAnnular flumees_ES
dc.subjectHeat-transfer processeses_ES
dc.subjectSediment transportes_ES
dc.subjectTemperature sensinges_ES
dc.subjectUrban drainage systemses_ES
dc.titleFlow rate influence on sediment depth estimation in sewers using temperature sensorses_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationb35bb0d6-c84e-4b5a-b319-6485c8a74574
relation.isAuthorOfPublication.latestForDiscoveryb35bb0d6-c84e-4b5a-b319-6485c8a74574

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