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Comparative analysis of existing disinfection models

机译:现有消毒模型的比较分析

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For a long time Marais's model has been the main tool for disinfection prediction in waste stabilization ponds (WSPs), although various authors have developed other disinfection models. Some ten other empirical models have been listed over the past fifteen years. Unfortunately, their predictions of disinfection in a given pond are very different. The existing models are too empirical to give reliable predictions: often their explanatory variables were chosen arbitrarily. In this work, we try to demonstrate that if influent variables have daily variations, the use of their average values in simulations may overestimate the disinfection effect. New methods are thus needed to provide better fittings of the models. Better knowledge of the mechanisms involved is needed to improve disinfection models.
机译:长期以来,尽管许多作者开发了其他消毒模型,但Marais模型一直是废物稳定池(WSP)中消毒预测的主要工具。在过去的十五年中,还列出了其他十种经验模型。不幸的是,他们对给定池塘消毒的预测大相径庭。现有的模型过于凭经验无法给出可靠的预测:通常是任意选择其解释变量。在这项工作中,我们试图证明,如果进水变量每天都有变化,则在模拟中使用其平均值可能会高估消毒效果。因此需要新方法来提供模型的更好拟合。需要更好地了解所涉及的机制,以改善消毒模型。

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