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Modeling and predicting the concentration of volatile organic chlorination by-products in Krakow drinking water

机译:克洛克饮用水中挥发性有机氯化副产品的建模与预测

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The goal of this article is to develop the models predicting the occurrence of volatile organic chlorination by-products in two Krakow (Poland) water distribution systems. The research results were used to develop the models predicting the concentration of five groups of chlorination by-products (trihalomethanes, haloacetonitriles, haloketones, chloral hydrate and chloropicrin), on the basis of several parameters of water quality, chlorination and distribution (organic carbon and nitrogen, bromide ions, UV_(254), temperature, pH, retention time). The multiple linear regression analysis was used to develop the base models, in which all analyzed parameters were included. The backward stepwise regression method was used to optimize these models. The Pearson correlation analysis was used to assess the ability of the models to predict the by-products concentration in the analyzed water distribution systems. The sensitivity analysis was also performed to identify the influence of individual parameters on the formation of each by-products group.
机译:本文的目标是开发预测两种克拉科夫(波兰)水分配系统中挥发性有机氯化副产品的模型。研究结果用于开发预测五组氯化副产物(三卤代甲磺酸,卤代乙腈,卤代酮,氯气水合物和氯丙碱)的模型,基于水质,氯化和分布(有机碳和氮,溴离子,UV_(254),温度,pH,保留时间)。多元线性回归分析用于开发基础型号,其中包括所有分析的参数。向后逐步回归方法用于优化这些模型。 Pearson相关性分析用于评估模型预测分析的水分配系统中的副产物浓度的能力。还进行了敏感性分析以确定个体参数对每个副产物组的形成的影响。

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