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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM66729

Impact of Operational Conditions on Pathogen Removal Efficiency in Sequencing Batch Reactors

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM66729

Volume:

10 |

8 |

Aug 2026

Pages:

1-10

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SA

Sumit Agrawal

Department of Civil Engineering

Swaminarayan Siddhanta Institute of Technology, Nagpur (MH)

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PDB

Prof. Dilip Budhlani

Department of Civil Engineering

Swaminarayan Siddhanta Institute of Technology, Nagpur (MH)

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Abstract

Increasing wastewater generation, microbial contamination, and the growing demand for safe water reuse have created a critical need for advanced and sustainable wastewater treatment technologies. Conventional biological treatment systems are primarily designed for organic pollutant removal and often exhibit inadequate pathogen removal efficiency under fluctuating operational conditions. Sequencing Batch Reactor (SBR) technology has emerged as a promising biological treatment system due to its operational flexibility, compact configuration, and enhanced treatment performance. The present study experimentally investigates the influence of key operational parameters on pathogen removal efficiency in a lab-scale Sequencing Batch Reactor treating municipal wastewater. The effects of Hydraulic Retention Time (HRT), Dissolved Oxygen (DO), Mixed Liquor Suspended Solids (MLSS), and cycle duration were systematically evaluated under controlled laboratory conditions. Microbial indicators including Escherichia coli and total coliforms were analyzed along with physicochemical parameters such as Chemical Oxygen Demand (COD), pH, and dissolved oxygen. The experimental results are expected to identify the optimum operating conditions for maximizing pathogen removal while maintaining efficient organic pollutant degradation. Statistical analysis and regression modelling will be used to establish relationships between operational parameters and microbial removal efficiency. The study is also expected to demonstrate that optimization of HRT, DO, and MLSS significantly improves biological treatment performance, reduces pathogenic contamination, and enhances process stability without requiring major infrastructure modifications. The findings of this research will contribute to the design and operation of more efficient Sequencing Batch Reactor systems for municipal and industrial wastewater treatment. The optimized operational conditions developed through this investigation can assist engineers, researchers, and wastewater treatment plant operators in improving treatment efficiency, ensuring compliance with regulatory discharge standards, and promoting safe wastewater reuse. Furthermore, the outcomes support sustainable water resource management and contribute towards achieving Sustainable Development Goal 6 (Clean Water and Sanitation) by enhancing the microbiological safety of treated wastewater.

KEYWORDS

Sequencing Batch Reactor (SBR) Pathogen Removal Wastewater Treatment Hydraulic Retention Time (HRT) Dissolved Oxygen (DO) Mixed Liquor Suspended Solids (MLSS) Total Coliforms Escherichia coli Log Removal Value (LRV) Biological Treatment Wastewater Reuse Process Optimization

Cite This Article

Sumit Agrawal, Prof. Dilip Budhlani, "Impact of Operational Conditions on Pathogen Removal Efficiency in Sequencing Batch Reactors," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 8, pp. 1-10, Aug 2026.

Full Article/Conclusion

Under the identified optimum operating conditions of approximately 20 hours HRT, 3 mg/L DO, 3,500 mg/L MLSS, and a 10-hour cycle duration, the reactor achieved high removal efficiencies for organic matter, suspended solids, and microbial contaminants. The optimized SBR achieved ·                  Approximately 96% removal of E. coli, ·                  94% removal of total coliforms, ·                  91% removal of COD, ·                  92.1% removal of BOD, ·                  91% removal of TSS, ·                  88.7% reduction in turbidity.

References

1.                Metcalf & Eddy. Wastewater Engineering: Treatment and Resource Recovery. McGraw Hill Education, 2018. 2.                APHA. Standard Methods for the Examination of Water and Wastewater, 23rd Edition, 2017. 3.                Bitton, G. Wastewater Microbiology. Wiley, 2014. 4.                Lee, J. et al. Kinetics of Pathogen Removal in SBR Systems. Water Research, 2019. 5.                Kim, S. et al. Optimization of Sequencing Batch Reactor Process. Journal of Environmental Engineering, 2020. 6.                Zhang, H. et al. Effect of Aeration on Microbial Removal in SBR Systems. Journal of Water Process Engineering, 2022. 7.                Wang, Y. et al. Bacterial Decay Kinetics in Wastewater Treatment Systems. Environmental Science & Technology, 2021. 8.                WHO. Guidelines on Sanitation and Health. WHO Press, 2020. 9.                USEPA. Wastewater Disinfection Manual. USEPA, 2018. 10.             Tchobanoglous, G. Wastewater Treatment Engineering. McGraw Hill, 2014.

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Publication Date

8/13/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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