紫外消毒技术因具有无须投加化学药剂、消毒广谱性、产生副产物少等优势越来越受重视，但石英套管结垢引起的消毒效果难以保障，成为限制紫外消毒技术发展的瓶颈。在污水厂紫外线消毒渠中搭建中试试验装置，利用超声波抑制石英套管结垢，结果表明，超声波能通过延长结垢诱导期来抑制垢的生成；以相对紫外线强度为考察对象，通过单因素试验确定超声波功率、清洗周期、超声时间合适的范围分别在500~1 000 W、0.5~1.0 d、20~40 min；对于使用时间为0、0.5、1、3、5 a的石英套管，超声波均有很好的抑垢效果。为了进一步优化参数，采用 Box-Behnken设计法和响应面分析方法对主要因素加以优化，得到了响应面回归模型和最优解。结果表明，超声波技术抑垢清垢的优化工艺参数为超声波功率P=965 W，清洗周期T=0.5 d，超声时间t=34 min，预测相对紫外线强度最大值为1.01。通过统计学检验，模型具有良好的拟合性，在优化工艺条件下得到的相对紫外线强度预测值与试验值接近，误差为1.00%。

Ultraviolet disinfection technology has attracted more and more attention due to its advantages of no need to add chemicals, broad-spectrum disinfection and less disinfection by-products. However, it is difficult to guarantee the disinfection effect caused by the fouling of quartz sleeves, which has become a bottleneck restricting the development of ultraviolet disinfection technology. In this study, a pilot test device was set up in the ultraviolet disinfection channel of the sewage plant, and ultrasonic waves were used to inhibit the fouling of quartz sleeves. Single factor experiments have determined that the appropriate ranges of ultrasonic power, cleaning cycle, and ultrasonic time are 500-1 000 W, 0.5-1.0 d, and 20-40 min respectively; For quartz sleeves with a service time of 0, 0.5, 1, 3, and 5 years, ultrasonic waves have a good fouling inhibition effect. In order to further optimize the parameters, the Box-Behnken design method and the response surface analysis method were used to optimize the main factors, and the response surface regression model and the optimal solution were obtained. The results show that the optimized process parameters of ultrasonic technology for fouling inhibition and cleaning are ultrasonic power P=965 W, cleaning cycle T=0.5 days, ultrasonic time t=34 minutes, and the maximum predicted relative ultraviolet intensity is 1.01. Through the statistical test, the model has a good fit, and the predicted value of the relative ultraviolet intensity obtained under the optimized process conditions is close to the experimental value with an error of 1.00%.

X703.3

国家自然科学基金（51878090）