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Visibility Graph Analysis of Particle Size Distribution During Flocculation for Water Treatment

机译:水处理絮凝过程中粒度分布的可见性图分析

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Water and wastewater physicochemical treatments often rely on coagulation and flocculation to generate aggregates adequate for separation. Floc development may be assessed by particle size distribution (PSD) using dynamic light scattering techniques (DLS) available in commercial equipment. The DLS output data, however, often presents high variability, which may hinder comparisons of the aggregation time series for different conditions. The Visibility Graph (VG), a novel approach to be applied within the sanitation context, may be an alternative to disclose properties of these highly oscillatory monitoring results. In this study, after defining ideal shear rates and mixing times for the treatability of high-turbidity test water, we monitored PSD after coagulation using metallic salts (ferric chloride and ferric sulfate) and a natural coagulant (Opuntia cochenillifera). PSD data was converted to visibility networks and measurements were obtained to describe these time series by the VG technique. Although no series patterns were found, the VG approach shed some light onto the PSD through time, but no inferences were scaled to the treatability aspect. The limitations for the VG method in this study are mainly due to the small time series; thus, we endorse that visibility network analysis may be a promising technique within the environmental and sanitation context.
机译:水和废水物理化学治疗通常依赖于凝结和絮凝,以产生足以分离的聚集体。使用商业设备中可用的动态光散射技术(DLS)可以通过粒度分布(PSD)来评估Floc开发。然而,DLS输出数据通常呈现出高的可变性,这可能阻碍聚集时间序列的比较不同的条件。可见性图(Vg),在卫生上下文中应用的新方法,可以是揭示这些高度振荡监测结果的性质的替代方案。在这项研究中,在定义理想的剪切速率和用于高浊度试验水处理的混合时间之后,我们使用金属盐(氯化铁和铁)和天然凝血剂(Ipuntia Cochenillifera)凝结后监测PSD。 PSD数据被转换为可见性网络,获得测量以通过VG技术描述这些时间序列。虽然没有发现系列模式,但VG接近通过时间将一些光线放在PSD上,但没有扩展到可处理方面的推断。本研究中VG方法的局限主要是由于较小的时间序列;因此,我们赞同可见性网络分析可能是环境和卫生背景下的有希望的技术。

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