Print Email Facebook Twitter Non-deposition self-cleansing models for large sewer pipes Title Non-deposition self-cleansing models for large sewer pipes Author Montes, Carlos (Universidad de los Andes) Vanegas, Sergio (Universidad de los Andes) Kapelan, Z. (TU Delft Sanitary Engineering) Berardi, Luigi (Università degli Studi Gabriele d'Annunzio Chieti e Pescara) Saldarriaga, Juan (Universidad de los Andes) Date 2020 Abstract Multiple models from the literature and experimental datasets have been developed and collected to predict sediment transport in sewers. However, all these models were developed for smaller sewer pipes, i.e. using experimental data collected on pipes with diameters smaller than 500 mm. To address this issue, new experimental data were collected on a larger, 595 mm pipe located in a laboratory at the University of los Andes. Two new self-cleansing models were developed using this dataset. Both models predict the sewer self-cleansing velocity for the cases of non-deposition with and without deposited bed. The newly developed and existing models were then evaluated and compared on the basis of the most recently collected and previously published datasets. Models were compared in terms of prediction accuracy measured by the root mean squared error and mean absolute percentage error. The results obtained show that in the existing literature, self-cleansing models tend to be overfitted, i.e. have a rather high prediction accuracy when applied to the data collected by the authors, but this accuracy deteriorates quickly when applied to the datasets collected by other authors. The newly developed models can be used for designing both small and large sewer pipes with and without deposited bed condition. Subject BedloadDeposited bedNon-depositionSediment transportSelf-cleansing To reference this document use: http://resolver.tudelft.nl/uuid:20dcf628-2a6d-403a-bafb-5ddc57601fcd DOI https://doi.org/10.2166/wst.2020.154 Embargo date 2021-04-03 ISSN 0273-1223 Source Water Science and Technology, 81 (3), 606-621 Bibliographical note Accepted Author Manuscript Part of collection Institutional Repository Document type journal article Rights © 2020 Carlos Montes, Sergio Vanegas, Z. Kapelan, Luigi Berardi, Juan Saldarriaga Files PDF Montes_et_al_2020_WST_Pure.pdf 1.57 MB Close viewer /islandora/object/uuid:20dcf628-2a6d-403a-bafb-5ddc57601fcd/datastream/OBJ/view