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http://hdl.handle.net/11189/10830| Title: | Comparative performance and statistical analysis of DEGBR and EGSB reactors for treating high-strength poultry slaughterhouse wastewater | Authors: | Dyosile, Phumeza Akhona Njoya, Mahomet Ntwampe, Seteno Karabo Obed Ellis, Timothy G. Basitere, Associate Professor Moses |
Keywords: | Down-flow expanded granular bed reactor (DEGBR);Expanded granular sludge bed reactor (EGSB);High-rate anaerobic bioreactor (HRAB);Poultry slaughterhouse wastewater (PSW);Membrane bioreactor (MBR);Organic loading rate (OLR);Hydraulic retention time (HRT);Anaerobic digestion;Wastewater treatment;Bioreactor performance comparison | Issue Date: | 2025 | Publisher: | Springer | Source: | Dyosile, P.A. et al. 2025. Comparative performance and statistical analysis of DEGBR and EGSB reactors for treating high-strength poultry slaughterhouse wastewater. Discover Water, 5: 1-17. [https://doi.org/10.1007/s43832-025-00311-0] | Journal: | Discover Water | Abstract: | High-rate anaerobic bioreactors (HRABs) are increasingly employed for treating high-strength wastewaters due to their ability to handle elevated organic loading rates (OLRs) at reduced hydraulic retention times (HRTs). This study compares the performance of two HRAB configurations the up-flow Expanded Granular Sludge Bed (EGSB) and the down-flow Expanded Granular Bed Reactor (DEGBR) for poultry slaughterhouse wastewater (PSW) treatment. Both systems included a biological pre-treatment stage and post-treatment with a membrane bioreactor (MBR). The DEGBR consistently outperformed the EGSB, achieving COD, TSS, and FOG removals of 87%, 92.5%, and 89.4%, respectively, versus 53.9%, 68.4%, and 66.9% for the EGSB. When integrated with pre-treatment and MBR polishing, the DEGBR-based system achieved > 99% removal across all parameters. Statistical analysis confirmed the significance of these differences (p < 0.05). These results demonstrate the DEGBR–MBR system’s robustness, stability under variable loading, and suitability for decentralised PSW treatment in resource-limited settings, offering a scalable and energy-efficient solution for broader industrial wastewater applications. | URI: | http://hdl.handle.net/11189/10830 | ISSN: | 2730-647X (Online) | DOI: | https://doi.org/10.1007/s43832-025-00311-0 |
| Appears in Collections: | Appsc - Journal Articles (DHET subsidised) |
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| File | Description | Size | Format | |
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| Comparative_performance.pdf | 2.79 MB | Adobe PDF | View/Open |
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