根据观察到的间歇臭氧氧化数据建立了经验溴酸盐生成模型，以模拟重要水质特征和处理工艺对溴酸盐生成的影响。高pH值、初始溴浓度、碱度和臭氧剂量有利于溴酸盐的形成。另一方面，增加DOC和氨浓度降低了溴酸盐的生成。模型还表明，通过超滤和反渗透膜法从不同水源中分离出的NOM对由不同大小的膜分离物组成的模型溶液臭氧氧化时溴酸盐的生成有很大影响。溴酸盐模型的内部和外部验证均表明，溴酸盐模式能很好地预测溴酸盐的形成，这表明经验模型可用于近似中试或全尺寸条件。 最后，模型表明，氨添加和酸添加（pH降低）策略可用于控制溴酸盐的生成。

Empirical bromate formation models were developed from observed batch ozonation data to simulate the effects of important water quality characteristics and treatment processes on bromate formation. Bromate formation was favored at high pH, initial bromide concentration, alkalinity, and ozone dose. On the other hand, increasing DOC and ammonia concentration decreased bromate formation. The models also indicated that NOM isolated from different raw water sources by ultrafiltration and reverse osmosis membrane method has a strong influence on bromate formation upon ozonation of model solutions composed of different membrane isolate sizes. Both internal and external validation of bromate models demonstrated that the bromate modes predicted bromate formation well, which indicates that the empirical models can be used to approximate pilot or full scale conditions. Finally, the models indicated that ammonia addition and acid addition (pH depression) strategies can be used to control bromate formation.