在水处理厂的生物活性炭（BAC）过滤器中 阿姆斯特丹及周边地区的水循环公司Waternet发生了快速堵塞。 进行了一项中试工厂研究，以研究造成堵塞的过程。几个 对假设进行了测试，包括生物量和碳酸钙颗粒造成的堵塞 起源于颗粒软化。结果表明，堵塞是多种因素共同作用的结果 因素。生物质堵塞导致形成蛋糕层，从而导致 大部分压力积聚。中试工厂研究期间收集的数据用于 校准并验证预测过滤器压降的模型。该模型预测了 基于BAC过滤器进水水质的过滤器运行时间。该模型可用于 优化反洗顺序，从而减少反洗水的使用。 包括19个参考文献、表格和图表。

In the biological activated carbon (BAC) filters at the water treatment plant Weesperkarspel of Waternet, water cycle company for Amsterdam and surrounding areas, rapid clogging takes place. A pilot plant study was carried out to study the processes responsible for the clogging. Several hypotheses were tested, including clogging due to biomass and calcium carbonate particles origination from the pellet softening. Results show that the clogging is a combination of several factors. Clogging by biomass results in the formation of a cake layer which accounts for the majority of the pressure build-up. The data collected during the pilot plant study were used to calibrate and validate a model for predicting the pressure drop in the filters. The model predicts the filter run time based on the influent water quality of the BAC filters. The model can be used to optimize the backwash sequence, resulting in a reduction of the use of backwash water. Includes 19 references, tables, figures.