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以珠江流域西江中山段的感潮原水为对象,模拟其臭氧预处理、常规处理和臭氧活性炭处理,考察原水预、主臭氧对应投加量时溴酸盐生成情况,构建了预、主臭氧溴酸盐生成经验预测模型.结果表明,在预臭氧过程中,高的DOC、O3及Br-浓度,会增加溴酸盐的生成量,升高pH,提高NH3-N及IC有利于抑制溴酸盐的形成;在主臭氧过程中,升高pH,提高O3及Br-浓度,会增加溴酸盐的生成量,而高的DOC、NH3-N及IC会降低溴酸盐的形成风险.所建模型预测实际水样,发现预、主臭氧预测模型预测误差分别为33.72%和13.22%.
Taking the tidewater in the middle section of the Xijiang River in the Pearl River Basin as an example, the ozone pretreatment, conventional treatment and ozone activated carbon treatment were simulated. The generation of bromate in raw water and main ozone corresponding to the dosage was investigated. The results show that high concentrations of DOC, O3 and Br-in the pre-ozone process can increase the amount of bromate, increase the pH, increase the NH3-N and IC, Salt formation; increasing the pH and increasing the concentration of O3 and Br- in the main ozone process increases bromate production, while high DOC, NH3-N and IC reduce the risk of bromate formation. The modeling predictions of actual water samples showed that the prediction errors of the pre-primary and main ozone prediction models were 33.72% and 13.22% respectively.