用于去除挥发性有机化合物（VOCs）的填料塔的设计在很大程度上取决于化合物的挥发性和传质速率。亨利常数和传质系数的不确定性极大地影响了完整填料塔处理系统的预测性能。本研究的重点是通过将亨利常数和传质系数建模为随机变量，并利用蒙特卡罗模拟确定分布，从而评估填料塔曝气设计的可靠性。本文给出了一个由替代设计组成的案例研究，以实现给定的污染物去除要求，展示设计参数的不确定性如何影响预测的系统性能和最终设计的成本。 已经证明，除了成本之外，失效概率是一个重要的设计考虑因素，设计备选方案的充分考虑将包括提供给定确定性预测性能的设计参数之外的设计参数。包括54个参考文献、表格和图表。

The design of packed towers for the removal of volatile organic chemicals (VOCs) depends strongly on compound volatility and rates of mass transfer. Uncertainty in Henry's constant and mass transfer coefficients greatly affects the predicted performance of completed packed-tower treatment systems. This research focuses on evaluating the reliability of packed-tower aeration designs by modeling Henry's constant and mass transfer coefficients as random variables with established distributions using Monte Carlo simulation. A case study consisting of alternative designs to achieve a given required contaminant removal is presented to show how design parameter uncertainty affects the predicted system performance and the cost of resulting designs. It was demonstrated that the probability of failure is an important design consideration in addition to cost and that full consideration of design alternatives will include design parameters outside of those that offer a given deterministically predicted performance. Includes 54 references, tables, figures.