Abstract
In recent years, the difficulties in water utilization related to musty odor which is produced and emitted by benthic cyanobacteria (Phormidium autumnale) has become obvious. Tama River, which is a water resource of Tokyo, has a clear water quality. However, high concentration 2-methylisoborneol (2-MIB) exceeding 200 ng/L produced by P. autumnale was detected from raw water of Ozaku purification plant. As a result, Ozaku purification plant carried out strict powdered activated carbon treatment in order to deal with 2-MIB.
In this study, we aimed to construct a model equation for the prediction of the short-time transition and the maximum concentration of 2-MIB in order to utilize it for future maintenance and management.By applying the cross-correlation correlogram and multiple regression analysis to water quality data of fiscal year 2015 exceeding 3,000 derived from automatic measuring device in increments of one hour, we constructed a multiple regression model equation for predicting 2-MIB concentration. When a model equation was verified using the water quality data of fiscal year 2016, a high correlation coefficient of 0.853 between the predicted value and the measured value was obtained. As a result, we enable the precise prediction of 2-MIB concentration.
