Palm oil mill effluent (POME) is one of the primary sources of water pollution in tropical watersheds, especially in areas where waste treatment is not yet optimal. This study aims to evaluate the impact of reducing POME pollutant loads on water quality in the Oko-Oko River in Kolaka District, using parameters such as Dissolved Oxygen (DO), Biological Oxygen Demand (BOD), and Chemical Oxygen Demand (COD). The method employed uses the QUAL2Kw water quality model, which has been calibrated and validated. Three pollution load reduction scenarios-baseline/no reduction (Sim1), 30% POME load reduction (Sim2), and 70% POME load reduction (Sim3)-were analyzed to assess changes in DO concentration, BOD, and COD at four monitoring stations. The accuracy of calibration and validation is tested based on the calculation of Root Mean Square Error (RMSE) and NashSutcliffe Efficiency (NSE) coefficient functions. Model validation demonstrated excellent agreement between simulation results and observational data, with NSE values of 0.832 (RMSE = 0.584) for BOD, 0.962 (RMSE = 0.655) for DO, and 0.816 (RMSE = 2.548) for COD. Simulation results indicate that a 70% reduction in POME load could increase DO concentration in the downstream section from 6.09 to 6.16 mg.L-1, while BOD and COD would decrease by 7.2% and 5.4%, respectively. These results support the effectiveness of the integrated anaerobic-aerobic filtration system in reducing pollutant loads and ensuring water quality meets Class II national water quality standards.
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Ir. M. Farid Samawi
Mahatma Lanuru
Mutmainnah
Nature Environment and Pollution Technology
Hasanuddin University
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Samawi et al. (Thu,) studied this question.
www.synapsesocial.com/papers/69fc2c1f8b49bacb8b347bb1 — DOI: https://doi.org/10.46488/nept.2026.v25i02.d1837