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作 者:白洋[1] 韩芸[1,2] 刘超超 宋小文 卓杨[1,2] BAI Yang;HAN Yun;LIU Chao-chao;SONG Xiao-wen;ZHUO Yang(School of Environmental and Municipal Engineering,Xi'an University of Architecture and Technology,Xi'an710055,China;Key Laboratory of Membrane Separation of Shaanxi Province,Xi'an University of Architecture and Technology,Xi'an 110055,China;Shaanxi Yu Yang Petroleum Technology Engineering Co.Ltd.,Xi'an 710018,China;Xi'an Putai Environmental Protection Co.Ltd.,Xi'an 710077,China)
机构地区:[1]西安建筑科技大学环境与市政工程学院,陕西西安710055 [2]西安建筑科技大学陕西省膜分离重点实验室,陕西西安710055 [3]陕西宇阳石油科技工程有限公司,陕西西安710018 [4]西安益维普泰环保股份有限公司,陕西西安710077
出 处:《中国给水排水》2019年第21期81-85,91,共6页China Water & Wastewater
基 金:国家自然科学基金资助项目(51408458);国家水体污染控制与治理科技重大专项(2013ZX07315-001-04);陕西省科技统筹创新工程计划项目(2016KTZDSF04-02-02);陕西省自然科学基金资助项目(2017JM5090)
摘 要:针对城市污水再生过程中氯消毒副产物生成的影响因素,以三卤甲烷(THMs)为研究对象,通过对溶解性有机碳(DOC)、温度(T)、pH值、加氯量(Cl2)和溴离子(Br-)等影响因素的相关性分析,建立适用于污水再生消毒过程的THMs线性与非线性回归模型,预估再生水中THMs的生成量及变化规律。结果表明,生成的THMs以三氯甲烷(CHCl3)和二氯一溴甲烷(CHBrCl2)为主;加氯量(Cl2)、温度(T)和DOC对THMs的生成起到了促进作用,其中加氯量是影响THMs的关键因子;线性和非线性回归模型对THMs预测的准确率分别达到了89.5%~90.8%和90.8%~94.7%,该模型可为实际生产运行提供一定的指导和借鉴作用。To describe the formation of the by-products during the chlorine disinfection of reclaimed water,correlations between trihalomethanes(THMs)and the temperature(T),pH,dissolved organic carbon(DOC),chlorine dosage(Cl2)and bromine ion(Br-)were investigated.Linear and nonlinear regression models for THMs were developed to predict the formation and variation of THMs during the disinfection process.The results showed that the main component of THMs were chloroform(CHCl3)and dichloromonobromomethane(CHBrCl2).The main influence factors of THMs formation were chlorine dosage,temperature and DOC.Chlorine dosage was considered as the primary influence factor.The correlation of linear and nonlinear regression models for THMs prediction were 89.5%-90.8%and 90.8%-94.7%,respectively.The model could provide some guidance and reference for practical production.
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