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Article

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

1
LEQUIA, Institute of the Environment, University of Girona, E-17003 Girona, Catalonia, Spain
2
Ens d’Abastament d’Aigua Ter-Llobregat (ATL), Sant Martí de l’Erm, E-08970 Sant Joan Despí, Barcelona, Spain
*
Author to whom correspondence should be addressed.
Water 2020, 12(8), 2115; https://doi.org/10.3390/w12082115
Received: 23 June 2020 / Revised: 21 July 2020 / Accepted: 22 July 2020 / Published: 25 July 2020
(This article belongs to the Special Issue Modelling of Drinking Water Treatments to Deal with Global Change)
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 process for removing water pollutants and, as such, is widely implemented in drinking water treatment plants (DWTPs) facilities worldwide. In this context, artificial intelligence (AI) tools can be used to aid decision making. This study presents an environmental decision support system (EDSS) for coagulation in a Mediterranean DWTP. The EDSS is structured hierarchically into the following three levels: data acquisition, control, and supervision. The EDSS relies on influent water characterization, suggesting an optimal pH and coagulant dose. The model designed for the control level is based on response surface methodology (RSM), targeted to optimize removal for the response variables (turbidity, total organic carbon (TOC), and UV254). Results from the RSM model provided removal percentages for turbidity (64.6%), TOC (21.9%), and UV254 (30%), which represented an increase of 4%, 33%, and 28% as compared with the DWTP water sample. Regarding the entire EDSS, 62%, 21%, and 25% of turbidity, TOC, and UV254 removal were fixed as the optimization criteria. Supervision rules (SRs) were included at the top of the architecture to intensify process performance under specific circumstances. View Full-Text
Keywords: potable water; enhanced coagulation; response surface methodology; EDSS potable water; enhanced coagulation; response surface methodology; EDSS
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MDPI and ACS Style

Suquet, J.; Godo-Pla, L.; Valentí, M.; Verdaguer, M.; Martin, M.J.; Poch, M.; Monclús, H. Development of an Environmental Decision Support System for Enhanced Coagulation in Drinking Water Production. Water 2020, 12, 2115. https://doi.org/10.3390/w12082115

AMA Style

Suquet J, Godo-Pla L, Valentí M, Verdaguer M, Martin MJ, Poch M, Monclús H. Development of an Environmental Decision Support System for Enhanced Coagulation in Drinking Water Production. Water. 2020; 12(8):2115. https://doi.org/10.3390/w12082115

Chicago/Turabian Style

Suquet, Jordi, Lluís Godo-Pla, Meritxell Valentí, Marta Verdaguer, Maria J. Martin, Manel Poch, and Hèctor Monclús. 2020. "Development of an Environmental Decision Support System for Enhanced Coagulation in Drinking Water Production" Water 12, no. 8: 2115. https://doi.org/10.3390/w12082115

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