Steady-State and Dynamic Simulation for Wastewater Treatment Plant Management: Case Study of Maghnia City, North-West Algeria.

Tiar, Sidi M., Bessedik, Madani, Abdelbaki, Chérifa, ElSayed, Nadia B., Badraoui, Abderrahim, Slimani, Amaria and Kumar, Navneet, (2024). Steady-State and Dynamic Simulation for Wastewater Treatment Plant Management: Case Study of Maghnia City, North-West Algeria.. Water, 16(2), n/a-n/a

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  • Sub-type Journal article
    Author Tiar, Sidi M.
    Bessedik, Madani
    Abdelbaki, Chérifa
    ElSayed, Nadia B.
    Badraoui, Abderrahim
    Slimani, Amaria
    Kumar, Navneet
    Title Steady-State and Dynamic Simulation for Wastewater Treatment Plant Management: Case Study of Maghnia City, North-West Algeria.
    Appearing in Water
    Volume 16
    Issue No. 2
    Publication Date 2024-01-12
    Place of Publication Basel
    Publisher MDPI
    Start page n/a
    End page n/a
    Language eng
    Abstract Given the critical importance of addressing effluent quality concerns, the present study was dedicated to developing a dynamic simulation model based on the Activated Sludge Model 1 (ASM1) of a wastewater treatment plant located in Maghnia City, Algeria. The model calibration process involved collecting and analyzing 56 samples from the plant over a period of 18 months (from July 2021 to January 2023). Thirteen physicochemical parameters were analyzed to identify the variations in their water quality over time. Stoichiometric and kinetic parameters were adjusted during the plant calibration process. These modifications resulted in a reasonable alignment with the investigated variables, enabling the accurate prediction of the wastewater treatment plants (WWTPs)’ steady-state behavior regarding the removal measurements of chemical oxygen demand (COD), total suspended solids (TSS), and ammonium (NH4-N). The model was validated using 14-day measurements spanning a 4-month duration, and the results indicated good agreement between the observed and simulated effluent variable of chemical oxygen demand (COD) with a root mean square error (RMSE) of 23%. These findings highlight the utility of the ASM1 Model in comprehending and managing the intricate dynamics of the activated sludge process in wastewater treatment plants.
    Keyword Activated sludge
    Activated Sludge Model 1 (ASM1)
    Calibration
    Dynamic model
    Wastewater treatment
    Copyright Holder MDPI
    Copyright Year 2024
    Copyright type Creative commons
    DOI 10.3390/w16020269
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    Created: Tue, 05 Nov 2024, 00:48:15 JST by Aarti Basnyat on behalf of UNU EHS