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Optimization of the Coagulation–Flocculation Process for Slaughterhouse Wastewater Using Response Surface Methodology
Clean - Soil Air Water ( IF 1.7 ) Pub Date : 2020-07-12 , DOI: 10.1002/clen.202000033
Öznur Begüm Gökçek 1 , Safiye Özdemir 1
Affiliation  

Slaughterhouse wastewater is one of the main sources of environmental pollutants, containing a high amount of organic matter (chemical oxygen demand (COD), biochemical oxygen demand (BOD)), total nitrogen (TN), total suspended solids (TSS), total phosphorus (TP), grease, and oil. The main aim of the present research is optimizing the coagulation–flocculation process and examining the effects of experimental factors with each other, for example, pH, the concentration of two different coagulants (FeCl3 and alum), rapid mixing rate, and settling time. Therefore, it is aimed to treat slaughterhouse wastewater using the coagulation–flocculation process with the optimization of the response surface methodology (RSM). COD, turbidity, and suspended solids (SS) of the treated wastewater are chosen as the response variables. Furthermore, the optimal conditions for three responses are acquired by employing the desirability function approach. When the experimental results of two coagulants are compared, it is observed that the alum coagulant gave better results for the three responses. The alum coagulant utilized in the present research is able to increase COD, SS, and turbidity removal efficiency by 75.25%, 90.16%, and 91.18%, respectively. It is possible to optimize coagulation–flocculation by utilizing the RSM analysis, which proves that coagulation can pre‐treat slaughterhouse wastewater.

中文翻译:

响应面法优化屠宰废水的混凝-絮凝工艺

屠房废水是环境污染物的主要来源之一,其中含有大量有机物(化学需氧量(COD),生化需氧量(BOD),总氮(TN),总悬浮固体(TSS),总磷(TP),油脂和油。本研究的主要目的是优化混凝-絮凝过程,并相互检验实验因素的影响,例如pH,两种不同混凝剂(FeCl 3和明矾),快速混合速度和沉降时间。因此,它的目的是利用凝结-絮凝工艺和优化的响应面方法(RSM)处理屠宰场废水。选择处理后废水的COD,浊度和悬浮固体(SS)作为响应变量。此外,通过采用期望函数方法获得了三个响应的最佳条件。当比较两种凝结剂的实验结果时,观察到明矾凝结剂对于三种响应给出了更好的结果。本研究中使用的明矾凝结剂能够分别将COD,SS和浊度去除效率提高75.25%,90.16%和91.18%。通过利用RSM分析,可以优化混凝效果,
更新日期:2020-07-12
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