Phenolic compounds cause significant problems both in drinking water and wastewater due to their toxicity, high oxygen requirements, and low biodegradability. They are listed as primary pollutants by the United States Environmental Protection Agency and the European Union. In this study, the adsorption efficiency of 2,4‐dichlorophenol (2,4‐DCP) on activated carbon, which is commonly used in treatment plants, was investigated under different experimental conditions including adsorbent dose, initial phenol concentration, initial pH, and contact time. As a result of experimental studies, it was determined that the adsorption isotherm and kinetics could be perfectly fitted to Langmuir and the assumption of pseudo‐second order model, respectively. Then, the adaptive neuro‐fuzzy inference system (ANFIS) model was developed, which was the primary purpose of this study. The correlation between training and testing data and the ANFIS output was over 0.999. The generalization ability of the model was found to be 0.999. The input variables such as adsorbent dosage (14.2%), initial concentration (14.6%), initial pH (13.9%), and the contact time (57.2%) showed a higher effect on 2,4‐DCP removal efficiency in the sensitivity analysis. To summarize, modeling studies that are frequently preferred in treatment plants for the removal of different pollutants will reduce the number of experiments harmful to human health and save time, labor, and economy.

中文翻译：

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木质活性炭对2,4-二氯苯酚吸附的自适应神经模糊推理系统建模

酚类化合物由于其毒性，高氧需求和低生物降解性，在饮用水和废水中均引起严重问题。它们被美国环境保护署和欧盟列为主要污染物。在这项研究中，研究了在不同的实验条件下，包括吸附剂剂量，初始酚浓度，初始pH和pH值，研究了处理厂常用的2,4-二氯苯酚（2,4-DCP）在活性炭上的吸附效率。联系时间。作为实验研究的结果，确定吸附等温线和动力学分别可以完美地拟合到Langmuir和假二阶模型的假设。然后，开发了自适应神经模糊推理系统（ANFIS）模型，这是本研究的主要目的。训练和测试数据与ANFIS输出之间的相关性超过0.999。发现该模型的泛化能力为0.999。在灵敏度分析中，诸如吸附剂剂量（14.2％），初始浓度（14.6％），初始pH（13.9％）和接触时间（57.2％）等输入变量对2,4-DCP去除效率的影响更大。 。总而言之，在处理厂中通常首选的用于去除不同污染物的模型研究将减少对人体健康有害的实验次数，并节省时间，劳动力和经济。初始浓度（14.6％），初始pH值（13.9％）和接触时间（57.2％）在灵敏度分析中显示出对2,4-DCP去除效率的更高影响。总而言之，在处理厂中通常首选的用于去除不同污染物的模型研究将减少对人体健康有害的实验次数，并节省时间，劳动力和经济。初始浓度（14.6％），初始pH值（13.9％）和接触时间（57.2％）在灵敏度分析中显示出对2,4-DCP去除效率的更高影响。总而言之，在处理厂中通常首选的用于去除不同污染物的模型研究将减少对人体健康有害的实验次数，并节省时间，劳动力和经济。