Dataset underlying the research of: new insights into the fluidisation characteristics of granular activated carbon for drinking water treatment applications

Granular activated carbon (GAC) filtration is a very important treatment unit operation in drinking water production processes. GAC filtration is widely used for its filtration and adsorption capabilities as a barrier for undesired macro and micro-pollutants. GAC filtration consists of two ascending procedures: filtration procedure, capturing the impurities from the water, in conjunction with a backwash procedure, flushing these impurities out of the system. The prediction of the bed expansion of GAC is complex since the particles are non-spherical, porous and polydisperse. It is complicated to find GAC particle properties such as the wet density, wet mass and the minimum fluidisation porosity. To be able to predict the porosity these values must be known.This data set contains numerical data of fluidisation experiments for various flow rates, water temperatures for nine different GAC types. In addition, a large data-set is shared with drying log (evaporation) values. Also, photographic and video material as well as morphological measurements (Camsizer, ImageJ, sieve and microscope) are provided.<br>

颗粒活性炭（GAC）过滤是饮用水生产流程中极为关键的处理单元操作。该工艺凭借其过滤与吸附性能，可作为阻隔有害宏、微污染物的屏障，因而得到广泛应用。GAC过滤包含两道协同运作的工序：截留水中杂质的过滤工序，以及将系统内截留杂质排出的反冲洗工序。
由于GAC颗粒呈非球形、多孔且多分散性特征，其床层膨胀行为的预测难度较高。获取GAC颗粒的湿密度、湿质量及最小流化孔隙率等物性参数颇具挑战，而若要准确预测床层孔隙率，必须先明确上述参数。
本数据集涵盖九种不同GAC类型在多种流量、水温条件下的流化实验数值数据。此外，数据集还包含大量干燥日志（蒸发量）相关数值。同时，本数据集还提供了影像及视频资料，以及形态学测量数据（Camsizer、ImageJ、筛分法与显微镜法）。