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A new model for the simplification of particle counting data

机译:简化颗粒计数数据的新模型

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摘要

This paper proposes a three-parameter mathematical model to describe the particle size distribution in a water sample. The proposed model offers some conceptual advantages over two other models reported on previously, and also provides a better fit to the particle counting data obtained from 321 water samples taken over three years at a large South Africa water utility. By using the data from raw water samples taken from a moderately turbid, large surface impoundment, as well as samples from the same water after treatment, typical ranges of the model parameters are presented for both raw and treated water. Once calibrated, the model allows the calculation of total particle number and volumes over any randomly selected size interval of interest.
机译:本文提出了一个三参数数学模型来描述水样中的粒径分布。与先前报道的其他两个模型相比,该模型提供了一些概念上的优势,并且还更适合南非大型水务公司三年来从321个水样中获得的颗粒计数数据。通过使用取自中等浊度,大面积蓄水的原水样品的数据以及处理后来自同一水的样品的数据,可以给出原水和处理后水的典型模型参数范围。校准后,该模型可以计算任意感兴趣的任意大小间隔内的总颗粒数和体积。

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