即将出台的消毒剂/消毒副产品（D/DBP）规则已经引起了许多公用事业公司对NOM去除的关注，将其作为减少消毒副产品形成的关键因素。对于实施常规处理的公用事业公司，满足所需的TOC去除可能需要重新评估现有的混凝剂策略，重点是加强混凝。在添加或不添加酸和/或添加粉末活性炭（PAC）以快速去除有机物的情况下添加更高剂量的混凝剂，将有助于增加最终处理前待处理的残余物的体积。随着体积的增加，NOM去除的增加将对产生的残余沉积物的质量和特征产生深远影响。 我们最近的研究表明，在污泥基质中加入更多的NOM可以显著改变剩余特性，导致污泥脱水性降低。污泥脱水性的降低最终可能会增加污泥处理和处置的成本。为了确定在强化混凝条件下产生的污泥脱水性差的机理，研究重点是检查污泥宏观和微观性质的变化。对污泥宏观特性的评估包括确定污泥脱水特性，如比阻和滤饼固体浓度，而污泥微观特性包括评估颗粒大小分布、絮体密度、骨料体积指数（AVI）以及污泥基质中有机物的特性。

The forthcoming Disinfectant/Disinfection By-Product (D/DBP) Rule has directed the attention of many utilities on NOM removal as a key factor in minimizing the formation of disinfection byproducts. For utilities which practice conventional treatment, meeting the required TOC removal may require the reevaluation of existing coagulant strategies with emphasis on enhancing coagulation. Addition of higher coagulant dosages with or without the addition of acid and/or addition of powdered activated carbon (PAC) for rapid removal of organics will contribute to increase the volume of residuals to be treated prior to ultimate disposal. Along with the increased volume, increased removal of NOM will have a profound impact on the quality and characteristics of the residuals generated. Our recent research has shown that incorporation of higher amounts of NOM in the sludge matrix can significantly alter residual characteristics, resulting in decreases in sludge dewaterability. This decrease in sludge dewaterability could ultimately increase the cost of sludge handling and disposal. To identify the mechanism(s) responsible for poor dewaterability of sludges generated under enhanced coagulation, research focused on examining changes in both sludge macro and micro properties. Evaluation of sludge macro-properties included determination of sludge dewatering characteristics such as specific resistance and cake solids concentration, while sludge microproperties consisted of evaluation of particle size distribution, floc density, aggregate volume index (AVI) and characterization of organic matter incorporated into the sludge matrix.