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The optimization of chlorine dose in water treatment process in order to reduce the formation of disinfection by-products

机译:优化水处理过程中的氯剂量,以减少消毒副产物的形成

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摘要

The main threat to human health is associated with organic compounds, which are found in the natural water ecosystem. The law relating to drinking water quality protects consumers' health. Thus, the need to remove disinfection by-products (DBP) precursors requires the application of high-efficient water treatment processes. Usually, chlorine is used to disinfection, and then, haloforms are generated. Well-calibrated model, estimating the concentration of DBP in treated water, can be a useful tool for predicting the quantity of trihalomethanes in water in the distribution network. Such a model makes it also possible to identify the critical control points in the monitoring process. This paper presents the statistical analysis of chloroform formation in treated water, based on laboratory tests. The chloroform concentration is expressed as a function of factors, which determine kinetics of the chemical reaction of organic compounds with chlorine. Two new variables-the ratio of total organic carbon and chloroform and the ratio of chlorine consumption and chlorine dose, both obtained after 1 h of the reaction-were taken into account. From the function predicting the chloroform concentration, one can determine the optimal dose of chlorine in the disinfection of water in dynamic operational conditions.
机译:对人类健康的主要威胁与天然水生态系统中发现的有机化合物有关。有关饮用水质量的法律保护消费者的健康。因此,需要去除消毒副产物(DBP)的前体需要应用高效的水处理工艺。通常,使用氯消毒,然后生成卤化物。校准良好的模型可以估算处理水中的DBP浓度,可以作为预测分配网络中水中三卤甲烷含量的有用工具。这种模型还可以在监视过程中识别关键控制点。本文根据实验室测试结果,介绍了处理水中氯仿形成的统计分析。氯仿浓度表示为因素的函数,这些因素决定了有机化合物与氯化学反应的动力学。考虑了两个新变量-反应1小时后获得的总有机碳和氯仿的比例以及氯消耗量和氯剂量的比例。根据预测氯仿浓度的功能,可以确定动态运行条件下水消毒中氯的最佳剂量。

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