在纺织工业过程中使用了大量的水和化学品。因此,处理纺织废水对保护环境至关重要,保持公众健康,并回收资源。然而,由于运行和工厂性能不佳,部分处理过的纺织废水被直接排放到附近的河流。因此,这项研究的目的是表征废水的理化性质,并评估BahirDar的纺织厂-活性污泥法废水处理厂(WWTP)的性能,埃塞俄比亚。在污水处理厂的入口和出口,样本收集6个月,并在现场和实验室分析参数,包括,溶解氧,pH值,温度,Kjeldhal总氮(TKN),化学需氧量(COD),生化需氧量(BOD5),总悬浮固体(TSS),总氮(TN),总磷(TP),亚硝酸盐,硝酸盐,和金属化合物。TSS,BOD5,COD,TP,亚硝酸盐,氨,和总铬结果高于排放极限,为73.2mg/L,48.45mg/L,144.08mg/L,7.9mg/L,1.36mg/L,1.96mg/L,和0.16毫克/升,分别。为每个整体开发了多元回归模型,净移动平均线,和瞬时出水水质指数(EQI)。预测参数BOD5、TN、COD,CODTSS,TP(R2=0.995至1.000)估计所有预测因子的净污染负荷为492.55千克/天和655.44千克/天。除了TN,TKN,和NO3,其余六个性能参数每天都违反了允许的限值。此外,移动平均和瞬时EQI的整体工厂效率预计为38%和42%,分别。我们的研究得出结论,综合回归模型和EQI可以轻松估算工厂效率和每日可能的污染负荷。
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.