Steady-State and Dynamic Simulation for Wastewater Treatment Plant Management: Case Study of Maghnia City, North-West Algeria-Reference-Cited by-同舟云学术

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

Published:2024-01-12 Issue:2 Volume:16 Page:269
ISSN:2073-4441
Container-title:Water
language:en
Short-container-title:Water

Author:

Tiar Sidi Mohamed¹²^ORCID,Bessedik Madani¹²^ORCID,Abdelbaki Chérifa¹²^ORCID,ElSayed Nadia Badr³,Badraoui Abderrahim¹²,Slimani Amaria⁴,Kumar Navneet⁵⁶^ORCID

Affiliation:

1. Department of Hydraulics, Faculty of Technology, University of Tlemcen, P.O. Box 230, Tlemcen 13000, Algeria

2. Laboratoire Eau et Ouvrages dans leur Environnement (EOLE), University of Tlemcen, P.O. Box 230, Tlemcen 13000, Algeria

3. Environmental Sciences Department, Faculty of Science, Alexandria University, Alexandria 21511, Egypt

4. National Office of Sanitation, Tlemcen 13000, Algeria

5. Department of Ecology and Natural Resources Management, Center for Development Research (ZEF), University of Bonn, Genscherallee 3, 53113 Bonn, Germany

6. Global Mountain Safeguard Research (GLOMOS), United Nations University, United Nations Campus, Platz der Vereinten Nationen 1, 53113 Bonn, Germany

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.

Funder

University of Bonn

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Link

https://www.mdpi.com/2073-4441/16/2/269/pdf

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