本研究的目的是增加对过滤机制的理解，并 还进一步改进了过滤过程的建模工作。宏观模型 在这项研究中使用了分离机制，因此，它能够模拟 整个过滤周期。对模型预测过滤能力的评估 对不同类型的颗粒（主要是疏水性和亲水性颗粒）进行处理是一个重要的过程 这项研究的重要方面。 这是第一批确定 颗粒疏水性和亲水性对深层过滤中颗粒去除的影响。对这个 在这一点上，过去的研究表明，这种差异可能是显著的；然而，没有 对这一领域进行了详细的研究。 为了减轻必须通过以下方式确定模型参数值的困难: 实验数据，直接计算成熟度的经验公式，分离， 并测定了头损失参数。 文献和先前的研究表明 这三个参数的值受过滤速率、过滤介质深度和过滤介质直径的影响 介质颗粒和进水颗粒的直径。因为实验是 这项研究结合了广泛的过滤条件，有可能得出 三个参数的经验公式。以前确定的经验公式 包含以下过滤器操作变量的不同组合: 过滤速率，进水 浓度、颗粒直径和过滤介质直径。然而，没有一个方程式 包含所有过滤变量。此外，未考虑过滤介质的深度 在之前建立的任何经验关系中。因此，更详细的方程式 需要考虑所有涉及的变量，从而准确计算模型 参数。作为本研究的一部分，得出的经验公式能够准确地 通过模型的同时拟合，预测模型生成的参数值 实验移除和头部缺失数据。经验公式对实验结果最为精确 成熟和headloss模型参数。推导出的分离参数方程 比其他两个参数的方程精度低。 这项调查的另一个方面涉及到人们如何了解 亲水性颗粒的去除效率和水头损失 过滤和过滤建模。为了回答这个问题，苏万尼河天然有机 向含有疏水颗粒的进水中添加物质，并进行一系列 实验的进行方式与前八个实验完全相同 疏水乳胶粒子。通过这些新方法生成的出水和水头损失数据 疏水性颗粒和苏万尼河天然有机物混合物的实验 然后将其与使用亲水性粒子和 疏水颗粒。在做了这个比较之后，我们注意到在所有的实验中 用疏水颗粒和苏万尼河天然有机物进行去除 headloss曲线与相同实验条件下生成的曲线非常相似 但是有亲水性粒子。因此，了解颗粒亲水性和 憎水性对于理解在干燥过程中天然有机物的去除非常重要 过滤。 包括21个参考文献、表格和图表。

The goal of this research was to increase the understanding of the filtration mechanisms and to also further the efforts of improved modeling of the filtration process. The macroscopic model used in this research included the detachment mechanism and thus, it was able to model the entire cycle of filtration. An assessment of the ability of the model to predict the filtration process for varying types of particles, mainly hydrophobic and hydrophilic particles, was an important aspect of this research. This is one of the first efforts to determine the importance of particle hydrophobicity and hydrophilicity on particle removal in deep bed filtration. To this point, past research efforts have suggested that this difference may be significant; however, no detailed research into this area has been conducted. In order to alleviate the difficulty in having to determine model parameter values through experimental data, empirical equations for the direct calculation of the ripening, detachment, and headloss parameters were determined. Literature and prior research has indicated that values of the three parameters are affected by filtration rate, filter media depth, diameter of the media grains, and diameter of the influent particles. Since the experiments conducted as part of this research incorporates a wide array of filtration conditions, it was possible to derive empirical equations for the three parameters. Previously determined empirical equations all contain different combinations of the following filter operating variables: filtration rate, influent concentration, particle diameter, and filter media diameter. However, none of the equations contain all the filtration variables. Furthermore, the depth of the filter media is not considered in any of the empirical relationships previously established. Therefore, more detailed equations are needed to account for all the variables involved and thus, to accurately calculate the model parameters. The empirical equations derived as part of this research were able to accurately predict the parameter values generated by the model through the simultaneous fit of the experimental removal and headloss data. The empirical equations were most accurate for the ripening and headloss model parameters. The equation derived for the detachment parameter was less precise than the equations for the other two parameters. Another aspect of this investigation involved how the knowledge of the difference in removal efficiency and headloss development for hydrophilic particles impact practical filtration and filtration modeling. To answer that question, Suwannee River natural organic matter was added to the influent water containing hydrophobic particles, and a series of experiments were conducted in the exact fashion as the previous eight experiments using hydrophobic latex particles. The effluent and headloss data generated through these new experiments with the hydrophobic particle and Suwannee River natural organic matter mixture was then compared to the data produced by the experiments using hydrophilic particles and hydrophobic particles. After making this comparison, it was noted that in all the experiments conducted with hydrophobic particles and Suwannee River natural organic matter the removal and headloss curves closely modeled the curves generated for the same experimental conditions but with hydrophilic particles. Therefore, knowledge of particle hydrophilicity and hydrophobicity is important in understanding the removal of natural organic matter during filtration. Includes 21 references, table, figures.