本幻灯片概述了一项研究 数学模型被用来缩小全尺寸吸附器的尺寸 进行快速小规模柱试验（RSSCT），并保持性能之间的完美相似性 吸附器。 优点包括: 突破曲线（BTC）可以在一小部分时间内获得 时间 BTC可以用一部分水获得；和 无需进行等温线或动力学研究即可获得全面的结果 性能预测（与数学模型不同:例如HSDM）。概述了两种RSSCT测试方法，包括:恒定扩散率（CD），其假设扩散率是恒定的，且与粒径无关；比例扩散率（PD），假设扩散率是线性的，取决于颗粒大小。RSSCT摘要包括: 到目前为止，RSSCT测试结果证明了RSSCT 可作为预测颗粒铁的潜在工具 去除砷（砷酸盐）的氢氧化物（GFH）床寿命； 总体而言，PD方法在较低的， 环境相关、初始浓度和 CD方法可能适用于初始值较高的情况 浓度； 当内部传质不稳定时，PD方法适用 速率限制；和 也适用于其他无机微污染物（例如:。， 磷酸盐）和其他金属氧化物（如粒状铁 氧化物（GFO））。包括数字。

This slide presentation outlines a study where mathematical models were used to scale-down a full-scale adsorber to a rapid small scale column test (RSSCT) and maintain perfect similarity between performance of the adsorbers. Advantages included: breakthrough curves (BTCs) can be obtained in a fraction of the time; BTCs can be obtained with a fraction of the water; and, isotherm or kinetic studies are not required to obtain a full-scale performance prediction (unlike mathematical models: e.g., HSDM). Two RSSCT test approaches are outlined and include: constant diffusivity (CD), which assumes diffusivity is constant and independent of particle size; and, proportional diffusivity (PD), which assumes diffusivity is linear and dependent on particle size. RSSCT Summary includes: RSSCT test results, to date, have demonstrated RSSCT can be a potential tool in predicting granular ferric hydroxide (GFH) bed life for arsenic (arsenate) removal; PD approach, overall, provides best simulation at lower, environmentally relevant, initial concentrations, and CD approach may be applicable under higher initial concentrations; PD approach is applicable when internal mass transfer is rate limiting; and, also applicable to other inorganic micropollutants (e.g., phosphate) and other metal oxides (e.g., granular ferric oxide (GFO)). Includes figures.