通过输入混凝剂用量、混凝pH值、原水UV254和原水DOC的新模型，可以预测强化混凝后剩余的溶解有机碳（DOC）浓度，标准误差约为10%或0.4 mg/L。凝固后剩余的总有机碳可以以类似的精度进行预测。该模型也可以校准到特定位置，将标准预测误差提高到4%或0.27 mg/L（或90%置信度的正负10%）。等摩尔剂量的明矾和三价铁混凝剂在调节DOC去除方面的性能差异可能归因于: 在非常高的混凝剂剂量下，使用三价铁去除DOC的效果相同或更好；在较低的混凝剂剂量下使用明矾，或不同的混凝剂酸度，同等或更好地去除DOC，为酸性更强的混凝剂产生性能优势。包括20个参考文献、表格和图表。

The concentration of dissolved organic carbon (DOC) remaining after enhanced coagulation can be predicted with a standard error of about 10 percent or 0.4 mg/L using a new model with inputs of coagulant dosage, coagulation pH, raw water UV254, and raw water DOC. Total organic carbon remaining after coagulation can be predicted with similar accuracy. The model may also be calibrated to a specific site, improving the standard predictive error to 4 percent or 0.27 mg/L (or plus or minus 10 percent for 90 percent confidence). Performance differences between equimolar dosages of alum and ferric coagulants in mediating DOC removal may be attributed to: equal or better removal of DOC using ferric at very high coagulant dosages; equal or better removal of DOC using alum at lower coagulant dosages, or differing acidity of coagulants, producing a performance advantage for the more acidic coagulant. Includes 20 references, tables, figures.