Standards for Drinking Water Quality(GB 5749-2022)lists 2-methylisobornyl alcohol(2-MIB)as an extended index and proposes a requirement of 0.000 01 mg/L(10 ng/L).Some water treatment plants(WTPs)have existing processes that are difficult to meet the requirements and need to actively respond.This article was based on the 2-MIB data of SZ Reservoir,TG Reservoir,XL Reservoir and SY Reservoir in Shenzhen from 2021 to 2022,analyzing the variation patterns and influencing factors of 2-MIB.The results showed that there were significant differences in the concentration levels of 2-MIB in different reservoirs,and the overall fluctuation of 2-MIB was significant and exhibited seasonal characteristics.Its concentration was greatly influenced by factors such as water temperature,algal density,permanganate index,temperature and wind speed.Some conventional treatment process WTPs in Shenzhen needed to add powdered activated carbon to ensure that the effluent meets the 2-MIB standard.In order to predict the daily trend of 2-MIB concentration and adjust the dosage of powdered activated carbon in a timely manner,2-MIB of raw water prediction and warning model was constructed based on the analysis of the 2-MIB change law and influencing factors,combined with AI.This model can predict the daily concentration of 2-MIB in the next 15 days,with an average error of 4.83 ng/L,assist in achieving stable 2-MIB standards effectively.
关键词
2-甲基异莰醇(2-MIB)/原水/影响因素/变化规律/预测模型
Key words
2-methylisobornyl alcohol(2-MIB)/raw water/influencing factor/change pattern/prediction model
维普
万方数据