Anthracene (ANT) is a polycyclic aromatic hydrocarbon (PAH) that is abundantly found in the soil of industrial areas. ANT-contaminated soils are a major concern in industrial zones causing serious environmental and health problems. This research aims to remediate ANT-contaminated soil using ultrasonic irradiation. An industrial zone located in the southern part of Iran, was selected as the case study. The concentration of ANT, ultrasonic power, process time, and water content of soil (water volume) were selected as operational parameters. Based on the authors' best information, this study is pioneering in its exploration of the simultaneous effects of the involved operational parameters, including their antagonistic and synergistic interactions. Response surface methodology (RSM) was employed to model the remediation process and predict the removal efficiency. The developed model was used to determine the optimal values of operational parameters to achieve the highest removal efficiency. The results indicated a high synergistic effect between ultrasonic power and water volume. Increasing the water volume from 100 to 250 ml while maintaining the power level at 100 W led to an enhancement in removal efficiency, with values progressing from 39 to 60%. A quadratic equation (a statistical model) was found to be suitable for fitting the data or describing the variations associated with the resulting removal efficiency. The determined optimum conditions were an ultrasonic power of 163 W, a water volume of 225 ml per 100 g of soil, an ANT concentration of 315 mg/kg, and a process time of 0.8 h.

蒽 (ANT) 是一种多环芳烃 (PAH)，在工业区的土壤中大量存在。ANT 污染的土壤是工业区的一个主要问题，会造成严重的环境和健康问题。本研究旨在利用超声波辐射修复被 ANT 污染的土壤。选择位于伊朗南部的一个工业区作为案例研究。选择 ANT 浓度、超声波功率、处理时间和土壤含水量（水体积）作为操作参数。基于作者的最佳信息，本研究开创性地探索了所涉及操作参数的同时影响，包括它们的拮抗和协同相互作用。采用响应面法（RSM）对修复过程进行建模并预测去除效率。开发的模型用于确定操作参数的最佳值，以实现最高的去除效率。结果表明超声波功率和水量之间具有高度的协同效应。将水量从 100 毫升增加到 250 毫升，同时将功率水平保持在 100 瓦，去除效率提高，数值从 39% 提高到 60%。人们发现二次方程（统计模型）适合拟合数据或描述与最终去除效率相关的变化。确定的最佳条件为超声波功率163 W、每100 g土壤加水量225 ml、ANT浓度315 mg/kg、处理时间0.8 h 。