Study of BOD and COD levels in a prototype of bioreactor for the treatment of wastewater
| dc.contributor.author | Nalband, Irfan | |
| dc.contributor.author | Sayyed, Mohammed Moazzam (23DCE12) | |
| dc.contributor.author | Khan, Ayan Afroz (23DCE06) | |
| dc.contributor.author | Shaikh, Shamim Banoo (22CE02) | |
| dc.contributor.author | Halpatrao, Apeksha Anil (22CE01) | |
| dc.date.accessioned | 2026-05-21T10:10:22Z | |
| dc.date.available | 2026-05-21T10:10:22Z | |
| dc.date.issued | 2026-05 | |
| dc.description.abstract | Wastewater treatment is a critical environmental engineering challenge, particularly in urban and industrial areas where high organic loads contribute to water pollution and oxygen depletion in receiving water bodies. Biochemical Oxygen Demand (BOD) serves as a key indicator of the organic pollution strength in wastewater, representing the amount of dissolved oxygen required by microorganisms to decompose organic matter. This study presents a comprehensive analysis of BOD & COD levels in a laboratoryscale prototype bioreactor (aerobic activated sludge or similar suspended-growth system) designed for wastewater treatment. Data was collected over a simulated operational period, focusing on influent and effluent BOD concentrations, removal efficiency, and influencing parameters such as Hydraulic Retention Time (HRT), Mixed Liquor Suspended Solids (MLSS), and COD. Python-based data analysis and visualization techniques were employed to generate graphical plots illustrating BOD trends, seasonal/operational variations, and correlations with other parameters. The findings reveal high BOD removal efficiencies (typically 85–95%) under optimal conditions, with effluent BOD often reduced to below 30 mg/L, meeting secondary treatment standards. Peaks in influent BOD were observed during higher organic loading periods, influenced by factors such as temperature, pH, and aeration rates. Major contributors to residual BOD include incomplete biodegradation and variations in biomass activity. Key recommendations include optimization of aeration and sludge recirculation, integration of real-time monitoring sensors, and hybrid systems (e.g., combining with membrane bioreactors) for enhanced performance. This data-driven approach provides actionable insights for scaling up prototype designs, supporting sustainable wastewater management, and reducing environmental impact on aquatic ecosystems. | |
| dc.identifier.uri | http://aiktc.ndl.gov.in/handle/123456789/4485 | |
| dc.language.iso | en_US | |
| dc.publisher | AIKTC | |
| dc.title | Study of BOD and COD levels in a prototype of bioreactor for the treatment of wastewater | |
| dc.type | Project Report |