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A general framework of chlorine decay modeling at a pilot-scale water distribution system

机译:中试规模供水系统中氯衰减建模的一般框架

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Understanding the variation of chlorine concentrations in water distribution systems is important for determining the schedule of rechlorination. Maintaining an appropriate chlorine concentration in domestic tap water and a sustainable residual chlorine in water distribution systems is an important commitment to ensure high drinking water quality. A generic modeling framework is proposed to amalgamate most widely used existing chlorine decay models. This framework gives rise to 14 distinct model structures. A pilot-scale water distribution system was designed and fabricated to investigate the performance of the proposed modeling framework. A hybrid calibration algorithm, obtained using a combination of the genetic algorithm and the particle swarm optimization, was introduced to rigorously calibrate the parameters of the various models. The adequacy of the performance of the various models was evaluated using both the Akaike information criterion and the Bayesian information criterion. A reliable relationship between the Reynolds numbers and the model parameters was obtained for the relatively simple model structure. The parameter spaces of several chlorine decay models can be configured, and equations of parameters for corresponding flow condition can be delineated. The generic model robustly predicted the chlorine concentration when the Reynolds numbers were between 15,000 and 40,000.
机译:了解配水系统中氯浓度的变化对于确定再氯化的时间表很重要。维持生活自来水中适当的氯浓度和配水系统中的可持续残留氯是确保高饮用水质量的重要承诺。提出了通用的建模框架,以合并使用最广泛的现有氯衰减模型。该框架产生了14种不同的模型结构。设计并制造了中试规模的水分配系统,以研究所提出的建模框架的性能。引入了混合校准算法,该算法是结合使用遗传算法和粒子群优化算法而获得的,用于严格校准各种模型的参数。使用Akaike信息标准和贝叶斯信息标准对各种模型的性能进行了评估。对于相对简单的模型结构,获得了雷诺数与模型参数之间的可靠关系。可以配置多个氯衰减模型的参数空间,并且可以描绘出对应流动条件的参数方程式。当雷诺数在15,000和40,000之间时,通用模型可以可靠地预测氯浓度。

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