这项研究考察了使用添加二氧化氯的“合成”水和天然水进行的统计设计实验产生的亚氯酸盐和氯酸盐的形成。其目的是筛选各种物理/化学参数，以便在使用原水进行的模型开发试验期间，进一步研究对绿泥石和氯酸盐形成有重大影响的物理/化学参数。此外，它还可以评估在开发消毒副产物预测模型方程时是否会考虑双因素参数相互作用。 使用内部和外部验证评估预测方程。敏感性分析包括检查参数对相关模型方程“解释力”的贡献。建立了模型方程，该方程能够预测二氧化氯的消耗量，以及检查的边界条件内的绿泥石和氯酸盐的形成，同时保持合理的理由和统计上的可靠基础。

This study examined chlorite and chlorate formation resulting from statistically-designed experiments performed using both "synthetic" and natural waters which were dosed with chlorine dioxide. The purpose was to screen various physical/chemical parameters such that those having significant effects on chlorite and chlorate formation would be further investigated during model development experiments using raw waters. Also, it allowed the assessment of whether 2-factor parameter interactions would be considered when developing the predictive disinfection byproducts model equations. Predictive equations were assessed using both internal and external validations. Sensitivity analyses consisted of examining parameter contributions to the "explanatory power" of the relevant model equations. Model equations were developed which were capable of predicting chlorine dioxide consumption, and chlorite and chlorate formation within the boundary conditions which were examined, while maintaining reasonable justification and a statistically-sound base.