基于甲基异戊二烯（MIB-GA35）的颗粒活性炭快速预测柱模型。该模型旨在预测废水浓度达到预定MIB浓度（例如，目标废水MIB浓度为10 ng/L）时处理的床层体积（时间）。以逐步方式使用多元线性回归技术创建模型，以确定突破目标废水条件的重要预测因子。首先在EBCT 10分钟和20分钟时为新鲜的12x40目GAC开发模型，然后进行修改，以考虑8x20和8x30目GAC和GAC年龄。 模型输入包括进水总有机碳（TOC）、进水MIB浓度、GAC粒径和GAC年龄。模型中模拟了间歇加载MIB的影响，以确定GAC床层寿命。包括8个参考文献、图表。

Granular activated carbon (GAC) breakthrough predictive models were developed for 2-methylisoborneol (MIB) based on the 35 rapid small-scale column tests. The models were designed to predict the bed volumes treated (time) when the effluent concentration would reach predetermined MIB concentrations, for example, a target effluent MIB concentration of 10 ng/L. The models were created, using multiple linear regression techniques in stepwise manner to determine significant predictors of breakthrough to the target effluent conditions. Models were first developed for fresh 12x40 mesh size GAC at 10 and 20 minutes EBCT and then modified to account for 8x20 and 8x30 mesh size GAC and GAC age. The model input includes influent total organic carbon (TOC), influent MIB concentration, GAC particle size, and GAC age. The impact of intermittent loading of MIB was simulated in the model to determine the GAC bed life. Includes 8 references, figures.