Rapid and effective monitoring of the formation of disinfection by-products is critically fundamental forsecurity management of drinking water .On the basis of conventional chlorination process in waterworks ,influenc-es of four key factors ,i .e .value of UV254 and ammonia nitrogen of the raw water ,chlorine dosage andpHvalue ,on the formation of typical disinfection by-products-trihalomethanes (THMs ) and haloacetic acids (HAAs ) ,were inves-tigated by employing uniform design method ,and linear and nonlinear fitting for the data were achieved by utiliza-tion of the statistical software-SPSS .Results showed that linear modelgot a good fitting for THMs and HAAs genera-tion with the correlation coefficients both greater than 0.9 ,while correlation coefficientsof nonlinear model for the above twowere 0.924 and 0.883 ,respectively .Moreover ,correlation coefficientsof linear model for THMs and HAAs generation were both 1 in consideration of the interactions between various factors ,which further improved the fitting effects .The new approach forrapid prediction of THMs and HAAsgeneration proposed in this study ,may provides a theoretical basis for improvingrisk management of drinking watersecurity under detection-restricted conditions .%快速有效监控饮用水中消毒副产物的生成，是饮用水安全管理中的重要基础性工作．基于供水企业常规氯化消毒工艺过程，采用均匀试验设计，研究了水源地源水UV254值、氨氮含量、加氯量和pH值等关键因素对典型消毒副产物三卤甲烷（THMs ）和卤乙酸（HAAs ）生成的影响，并以SPSS统计软件对数据进行了线性和非线性拟合．结果表明：线性模型能较好地描述THMs和HAAs的生成（相关度均大于0.9），而非线性模型中二者的相关度分别为0.924和0.883；考虑各因素交互作用下，THMs和HAAs生成的线性模型的相关度均为1，进一步改善了拟合效果．建立的快速预测上述消毒副产物生成的新方法，可为完善检测条件制约下饮用水安全风险管理提供理论依据．
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