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Wondim TT, Dzwairo RB, Aklog D, Janka E, Samarakoon G, Dereseh MM. Wastewater treatment plant performance assessment using time-function-based effluent quality index and multiple regression models: the case of Bahir Dar textile factory. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 195:1360. [PMID: 37870654 PMCID: PMC10593618 DOI: 10.1007/s10661-023-11952-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 10/05/2023] [Indexed: 10/24/2023]
Abstract
Extensive water and chemicals are used in the textile industry processes. Therefore, treatment of textile wastewater is vital to protect the environment, maintain the public health, and recover resources. However, due to poor operation and plant performance the partially treated textile wastewater was directly discharged to a nearby river. Thus, the aim of this study was to characterize the wastewater physicochemical properties and evaluate the performance of the textile factory-activated sludge process wastewater treatment plant (WWTP) in Bahir Dar, Ethiopia. In inlet and outlet of the WWTP, samples were collected for 6 months and analyzed on-site and in a laboratory for parameters including, dissolved oxygen, pH, temperature, total Kjeldhal nitrogen (TKN), chemical oxygen demand (COD), biochemical oxygen demand (BOD5), total suspended solids (TSS), total nitrogen (TN), total phosphorous (TP), nitrite, nitrate, and metallic compounds. The TSS, BOD5, COD, TP, nitrite, ammonia, and total chromium result were above the discharge limit with 73.2 mg/L, 48.45 mg/L, 144.08 mg/L, 7.9 mg/L, 1.36 mg/L, 1.96 mg/L, and 0.16 mg/L, respectively. Multiple regression models were developed for each overall, net moving average, and instantaneous effluent quality index (EQI). The predictor parameters BOD5, TN, COD, TSS, and TP (R2 = 0.995 to 1.000) estimated the net pollution loads of all predictors as 492.55 kg/day and 655.44 kg/day. Except TN, TKN, and NO3, the remaining six performance parameters were violating the permissible limit daily. Furthermore, the overall plant efficiency was predicted as 38 % and 42 % for the moving average and instantaneous EQI, respectively. Our study concluded that the integrated regression models and EQI can easily estimate the plant efficiency and daily possible pollution load.
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Affiliation(s)
- Tilik Tena Wondim
- Department of Water Supply and Sanitary Engineering, Bahir Dar Institute of Technology, Bahir Dar University, 26, Bahir Dar, Ethiopia.
- Department of Civil Engineering, Durban University of Technology, Midlands, PO Box 101112, 3209, Imbali, Durban, South Africa.
- Department of Process, Energy and Environmental Technology, University of South-Eastern Norway, 3918, Porsgrunn, Norway.
| | - Rimuka Bloodless Dzwairo
- Department of Water Supply and Sanitary Engineering, Bahir Dar Institute of Technology, Bahir Dar University, 26, Bahir Dar, Ethiopia
- Department of Civil Engineering, Durban University of Technology, Midlands, PO Box 101112, 3209, Imbali, Durban, South Africa
- Department of Process, Energy and Environmental Technology, University of South-Eastern Norway, 3918, Porsgrunn, Norway
| | - Dagnachew Aklog
- Department of Water Supply and Sanitary Engineering, Bahir Dar Institute of Technology, Bahir Dar University, 26, Bahir Dar, Ethiopia
- Department of Civil Engineering, Durban University of Technology, Midlands, PO Box 101112, 3209, Imbali, Durban, South Africa
- Department of Process, Energy and Environmental Technology, University of South-Eastern Norway, 3918, Porsgrunn, Norway
| | - Eshetu Janka
- Department of Water Supply and Sanitary Engineering, Bahir Dar Institute of Technology, Bahir Dar University, 26, Bahir Dar, Ethiopia
- Department of Civil Engineering, Durban University of Technology, Midlands, PO Box 101112, 3209, Imbali, Durban, South Africa
- Department of Process, Energy and Environmental Technology, University of South-Eastern Norway, 3918, Porsgrunn, Norway
| | - Gamunu Samarakoon
- Department of Water Supply and Sanitary Engineering, Bahir Dar Institute of Technology, Bahir Dar University, 26, Bahir Dar, Ethiopia
- Department of Civil Engineering, Durban University of Technology, Midlands, PO Box 101112, 3209, Imbali, Durban, South Africa
- Department of Process, Energy and Environmental Technology, University of South-Eastern Norway, 3918, Porsgrunn, Norway
| | - Mekuria Mulusew Dereseh
- Department of Water Supply and Sanitary Engineering, Bahir Dar Institute of Technology, Bahir Dar University, 26, Bahir Dar, Ethiopia
- Department of Civil Engineering, Durban University of Technology, Midlands, PO Box 101112, 3209, Imbali, Durban, South Africa
- Department of Process, Energy and Environmental Technology, University of South-Eastern Norway, 3918, Porsgrunn, Norway
- Excellence Enterprize, Bahir Dar, Ethiopia
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