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The effects of particle size distribution on the settleability of CSOs pollutants

机译:粒度分布对CSOs污染物沉降性的影响

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Over the past decades, flocculation and/or sedimentation processes have been adopted to remove pollutants from CSOs. It has been learned that major factors affecting settlement of pollutants are the particle size distribution, their settling velocities and their specific gravity. It is, therefore, a good idea to analyze the particle size distribution and settleability of CSOs pollutants in order to develop details in designing a process. Discussed in this study are pollutant characteristics of CSOs such as particle size distribution and settleability of pollutants. The power law function is applied and is found to be an effective and reliable index for expressing the particle size distribution of pollutants in CSOs. Based on the particle size spectrum analysis, the tendency toward settling and simultaneous flocculation-settling phenomenon of CSOs pollutants is described. Based on the regression analysis it is observed that the derived constants of curves representing settling velocity profile are proportional to the initial concentration of particles and to the beta -values of power law distributions. It is also revealed that the simultaneous flocculation-settling processes are effectively described by the changes of the average particle diameter and of the beta -values of power law distributions. [References: 11]
机译:在过去的几十年中,已经采用了絮凝和/或沉降过程从CSO中去除污染物。据了解,影响污染物沉降的主要因素是粒度分布,沉降速度和比重。因此,分析CSOs污染物的粒径分布和沉降性是一个好主意,以便在设计过程时详细介绍。在这项研究中讨论的是公民社会组织的污染物特性,例如粒径分布和污染物沉降性。应用了幂律函数,发现幂律函数是表达CSO中污染物粒径分布的有效且可靠的指标。基于粒度谱分析,描述了CSOs污染物沉降趋势和同时絮凝沉降现象。基于回归分析,可以观察到代表沉降速度曲线的曲线的常数与颗粒的初始浓度和幂律分布的β值成正比。还揭示出,通过平均粒径和幂律分布的β值的变化有效地描述了同时的絮凝沉降过程。 [参考:11]

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