Slaughterhouse wastewater (SWW) is considered an industrial wastewater, which seriously harms the environment due to the high concentration of contaminants such as biochemical oxygen demand (BOD), chemical oxygen demand (COD), and total suspended solids (TSS). Additionally, the wastewater from slaughterhouses contains harmful bacteria. This study used a lap-scale model to treat SWW from a local private slaughterhouse. The treatment process involves three stages: adsorption using activated carbon, which is derived from sawdust, followed by sedimentation, and finally, a slow sand filter with a modified layer of woven textile cotton. The first two steps were tested to obtain the ideal operation condition of the treatment system. After the final step of treatment, we evaluated the overall process using a modified slow sand filter (MSSF). We used a Jar test to determine the optimal dosage of activated carbon from sawdust (ACS). The monitored parameters were physicochemical, such as turbidity, total suspended solids (TSS), total dissolved solids (TDS), biochemical oxygen demand (BOD), chemical oxygen demand (COD), total phosphorus (TP), and total nitrogen (TN). The bacteriological examination included both total coliform count (TCC) and fecal coliform count (FCC). The results of the jar test revealed that the optimal ACS dose was 2.0 g/l. After adjusting the contact time and pH levels for the adsorption process, we discovered that the ideal contact time was 100 min and the ideal pH level was 4.0. Finally, we evaluated the entire treatment system by applying the MSSF after the sedimentation process, and found that the removal efficiencies of turbidity, BOD, COD, TSS, TDS, TP, and TN were 97.14, 94.80, 91.80, 98.96, 81.17, 81.12, and 82.50%, respectively. This is in addition to the filter's ability to remove bacteria counts at a rate of up to 98.93 and 99.13% of TCC and FCC, respectively.

屠宰场废水 （SWW） 被认为是工业废水，由于生化需氧量 （BOD）、化学需氧量 （COD） 和总悬浮固体 （TSS） 等污染物浓度高，对环境造成严重危害。此外，屠宰场的废水中含有有害细菌。本研究使用单圈模型治疗来自当地私人屠宰场的 SWW。处理过程包括三个阶段：使用来自锯末的活性炭吸附，然后沉淀，最后是带有改性纺织棉改性层的慢砂过滤器。对前两个步骤进行了测试，以获得处理系统的理想运行条件。在处理的最后一步之后，我们使用改进的慢砂过滤器 （MSSF） 评估了整个过程。我们使用 Jar 测试来确定锯末活性炭 （ACS） 的最佳剂量。监测参数为物理化学指标，如浊度、总悬浮物 （TSS）、总溶解固体 （TDS）、生化需氧量 （BOD）、化学需氧量 （COD）、总磷 （TP） 和总氮 （TN）。细菌学检查包括总大肠菌群计数 （TCC） 和粪大肠菌群计数 （FCC）。罐试验结果显示，最佳 ACS 剂量为 2.0 g/l。在调整吸附过程的接触时间和 pH 值后，我们发现理想的接触时间为 100 min，理想的 pH 值为 4.0。最后，在沉淀过程后应用 MSSF 对整个处理系统进行评估，发现浊度、BOD、COD、TSS、TDS、TP 和 TN 的去除效率分别为 97.14、94.80、91.80、98.96、81.17、81.12 和 82.50%。 此外，该过滤器能够分别以高达 98.93% 和 99.13% 的 TCC 和 FCC 去除细菌计数。