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Article

Mathematical Modeling of a Domestic Wastewater Treatment System Combining a Septic Tank, an Up Flow Anaerobic Filter, and a Constructed Wetland

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Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Av. General Ramon Corona 2514, Nuevo México, Zapopan 45138, Mexico
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ENES- León, Universidad Nacional Autónoma de México, Blvd. UNAM 2011, Predio el Saucillo y El Potrero León, Guanajuato 37684, Mexico
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Unidad de Tecnología Ambiental, Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco, A. C. Av. Normalistas 800, Colinas de la Normal, Guadalajara 44270, Mexico
*
Authors to whom correspondence should be addressed.
Water 2020, 12(11), 3019; https://doi.org/10.3390/w12113019
Received: 7 October 2020 / Revised: 19 October 2020 / Accepted: 20 October 2020 / Published: 27 October 2020
(This article belongs to the Section Wastewater Treatment and Reuse)
Systems combining anaerobic bioreactors with constructed wetlands (CW) have proven to be adequate and efficient for wastewater treatment. Detailed knowledge of removal dynamics of contaminants can ensure positive results for engineering and design. Mathematical modeling is a useful approach to studying the dynamics of contaminant removal in wastewater. In this study, water quality monitoring was performed in a system composed of a septic tank (ST), an up flow anaerobic filter (UAF), and a horizontal flow constructed wetland (HFCW). Biological oxygen demand (BOD5), chemical oxygen demand (COD), total Kjeldahl nitrogen (TKN), NH3, organic nitrogen (ON), total suspended solids (TSS), NO2, and NO3 were measured biweekly during a 3-month period. First-order kinetics, multiple linear regression, and mass balance models were applied for data adjustment. First-order models were useful to predict the outlet concentration of pollutants (R2 > 0.87). Relevant multiple linear regression models were found, which could be applied to facilitate the system’s monitoring and provide valuable information to control and improve biological and physical processes necessary for wastewater treatment. Finally, the values of important parameters (μmax, Ks,  and Yx/s) in mass-balance models were determined with the aid of a differential neural network (DNN) and an optimization algorithm. The estimated parameters indicated the high robustness of the treatment system since performance stability was found despite variations in wastewater composition. View Full-Text
Keywords: wastewater treatment; modeling; constructed wetland; anaerobic filter; septic tank; first-order kinetic; multiple linear regression; mass balance; differential neural network wastewater treatment; modeling; constructed wetland; anaerobic filter; septic tank; first-order kinetic; multiple linear regression; mass balance; differential neural network
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MDPI and ACS Style

Fernández del Castillo, A.; Verduzco Garibay, M.; Senés-Guerrero, C.; Yebra-Montes, C.; de Anda, J.; Gradilla-Hernández, M.S. Mathematical Modeling of a Domestic Wastewater Treatment System Combining a Septic Tank, an Up Flow Anaerobic Filter, and a Constructed Wetland. Water 2020, 12, 3019. https://doi.org/10.3390/w12113019

AMA Style

Fernández del Castillo A, Verduzco Garibay M, Senés-Guerrero C, Yebra-Montes C, de Anda J, Gradilla-Hernández MS. Mathematical Modeling of a Domestic Wastewater Treatment System Combining a Septic Tank, an Up Flow Anaerobic Filter, and a Constructed Wetland. Water. 2020; 12(11):3019. https://doi.org/10.3390/w12113019

Chicago/Turabian Style

Fernández del Castillo, Alberto; Verduzco Garibay, Marycarmen; Senés-Guerrero, Carolina; Yebra-Montes, Carlos; de Anda, José; Gradilla-Hernández, Misael S. 2020. "Mathematical Modeling of a Domestic Wastewater Treatment System Combining a Septic Tank, an Up Flow Anaerobic Filter, and a Constructed Wetland" Water 12, no. 11: 3019. https://doi.org/10.3390/w12113019

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