Simulating the dispersion of poisonous organic chemical compounds in wastewater treatment process through the active sludge method using the TOXChem model
Abstract:Naturally, microorganisms decompose the organic material existing in nature, both in the presence or absence of oxygen. The majority of materials such as poisonous chemical compounds, heavy metals, would prevent the treatment process from taking place, lead to the entry of these contaminants into the environment results in the emergence of numerous diseases. In the present study, using the TOXChem4.1 simulation model, attempts were made to simulate a wastewater treatment plant and then assess the dispersions o… Show more
“…Even the most experienced engineers will find that optimizing wastewater treatment plants to achieve higher pollutant removal is exceedingly time‐consuming and fraught with uncertainties. This uncertainty can be reduced by modelling process changes to provide preliminary results for the scale‐up process (Aboagye et al, 2021; Al‐Wardy, Alquzweenib, & Al‐Saadi, 2021; Chan et al, 2009; Elawwad, Zaghloul, & Abdel‐Halim, 2017; El‐Monayeri, 2016; Gao et al, 2016; Gheibi et al, 2021; Henze et al, 1997; Metcalf and Eddy, Inc, et al, 2007; Nasr et al, 2011; Satoh et al, 2021; Stensel & Makinia, 2014; Sun et al, 2010).…”
The purpose of the present study was to adapt the activated sludge model No. 3 (ASM3) to the characteristics of oily industrial wastewater, determining the utmost significant and appropriate kinetic as well as stoichiometric parameters. An oily industrial wastewater treatment system was simulated to assess ASM3 validation and perform sensitivity analysis using the STOAT program. The obtained results revealed that the ASM3 model, which was calibrated after adding the Arrhenius equation into consideration, provided strong correlations with the analytical results of chemical oxygen demand (COD), total suspended solids (TSS), mixed liquor volatile suspended solids (MLVSS) and total suspended solids in the return activated sludge flow (TSS in RAS) concentrations. The values of modelled effluent COD and TSS are very close to those corresponding real values of the treated wastewater by a difference of between 0.5% and 1.5%. Thus, this model becomes successful in representing oily industrial wastewater treatment as a new trend added to the traditional modelling of sewage treatment.
“…Even the most experienced engineers will find that optimizing wastewater treatment plants to achieve higher pollutant removal is exceedingly time‐consuming and fraught with uncertainties. This uncertainty can be reduced by modelling process changes to provide preliminary results for the scale‐up process (Aboagye et al, 2021; Al‐Wardy, Alquzweenib, & Al‐Saadi, 2021; Chan et al, 2009; Elawwad, Zaghloul, & Abdel‐Halim, 2017; El‐Monayeri, 2016; Gao et al, 2016; Gheibi et al, 2021; Henze et al, 1997; Metcalf and Eddy, Inc, et al, 2007; Nasr et al, 2011; Satoh et al, 2021; Stensel & Makinia, 2014; Sun et al, 2010).…”
The purpose of the present study was to adapt the activated sludge model No. 3 (ASM3) to the characteristics of oily industrial wastewater, determining the utmost significant and appropriate kinetic as well as stoichiometric parameters. An oily industrial wastewater treatment system was simulated to assess ASM3 validation and perform sensitivity analysis using the STOAT program. The obtained results revealed that the ASM3 model, which was calibrated after adding the Arrhenius equation into consideration, provided strong correlations with the analytical results of chemical oxygen demand (COD), total suspended solids (TSS), mixed liquor volatile suspended solids (MLVSS) and total suspended solids in the return activated sludge flow (TSS in RAS) concentrations. The values of modelled effluent COD and TSS are very close to those corresponding real values of the treated wastewater by a difference of between 0.5% and 1.5%. Thus, this model becomes successful in representing oily industrial wastewater treatment as a new trend added to the traditional modelling of sewage treatment.
Preventing environmental pollution by adequately treating the ever-increasing volume of wastewater generated by the over 8.1 billion (UN 2024 projection) people in the world, meeting governments’ often updated effluent quality standards as a result of emerging contaminants in domestic and industrial wastewater, operating wastewater treatment process to generate energy through methane production and capture to save operating costs, and deploying a compact system to fit reducing installation space are some of the daring challenges facing sustainable wastewater treatment technologies today. Hence, there is a need for continued innovation and development of treatment processes. The current chapter discussed advancements in biological wastewater treatment technologies through the years with a focus on reasons for improvements in technologies. Some of the reasons highlighted are capital and operational costs, plant volumetric capacity, effluent quality, efficient nutrient removal, biofouling and membrane clogging, treatment plant installation size, etc. The chapter also discussed biochemical oxygen demand as a measure of water quality for biological treatment systems, the role of genetically engineered microorganisms in biological wastewater treatment, bioremediation as a biological treatment process, treatment plant pilot-scale, and upgrade to full-scale.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.