Control of primary disinfection in a drinking water treatment plant based on a fuzzy inference system

Autor: Manel Poch, Jose Javier Rodriguez, Lluís Godo-Pla, Hèctor Monclús, Fernando Valero, Pere Emiliano, Jordi Suquet

Publikováno v: Process Safety and Environmental Protection. 145:63-70

Drinking water treatment plants (DWTPs) have to be efficiently managed to produce safe water at all times, independently from variations of influent water quality. Artificial Intelligence techniques like fuzzy inference systems (FIS) can help in cons

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::17f4df927bebdb22114c748434d54164
https://doi.org/10.1016/j.psep.2020.07.037

Development of an Environmental Decision Support System for Enhanced Coagulation in Drinking Water Production

Autor: Meritxell Valenti, Marta Verdaguer, Jordi Suquet, Lluís Godo-Pla, Maria J. Martin, Manel Poch, Hèctor Monclús

Publikováno v: Water, Vol 12, Iss 2115, p 2115 (2020)
Water
Volume 12
Issue 8
Water, 2020, vol. 12, núm. 8, p. 2115
Articles publicats (D-EQATA)
DUGiDocs – Universitat de Girona
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Drinking water production is subject to multiple water quality requirements such as minimizing disinfection byproducts (DBPs) formation, which are highly related to natural organic matter (NOM) content. For water treatment, coagulation is a key proce

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac7d8d69c02d8d23bcc6ee9431da1310
https://www.mdpi.com/2073-4441/12/8/2115

Predicting the Oxidant Demand in Full-Scale Water Treatment using an Artificial Neural Network: Uncertainty and Sensitivity Analysis

Autor: Hèctor Monclús, Fernando Valero, Gürkan Sin, Manel Poch, Lluís Godo-Pla, Pere Emiliano

Publikováno v: Godo-Pla, L, Emiliano, P, Valero, F, Poch, M, Sin, G & Monclús, H 2019, ' Predicting the Oxidant Demand in Full-Scale Water Treatment using an Artificial Neural Network: Uncertainty and Sensitivity Analysis ', Process Safety and Environmental Protection, vol. 125, pp. 317-327 . https://doi.org/10.1016/j.psep.2019.03.017

Drinking Water Treatment Plants face changes in raw water quality and quantity and the treatment needs to be adjusted accordingly to produce the best water quality at the minimum environmental cost. The amount of data generated along drinking water t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8160541e2a6f2fc0b0c28dfb6774668
https://orbit.dtu.dk/en/publications/3147c542-649b-406b-a912-89c6775b02d9