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Growth curve models for stochastic modeling and analyzing of natural disinfection of wastewater

机译:用于废水自然消毒的随机建模和分析的增长曲线模型

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This work is motivated by a study on the natural disinfection of wastewater in marine environment for ocean outfall systems without chlorination. In the study of the disinfection on wastewater in marine environment two natural factors, consisting of light intensity and salinity, one controllable factor, the volumetric mixing ratio of seawater to wastewater, and one random effect factor, the existence of predators, were investigated. Our problem and data are modeled by a growth curve model with an unknown random parameter that can be described by a mixed model with the factors mentiohed above as covariates. For our model we determine the optimal variance estimations. Finally, we apply our model with these optimal estimated variance components to the data obtained from the real experiments.
机译:这项工作的动机是对海洋环境中的废水进行自然消毒以研究未氯化的海洋排污系统。在海洋环境废水消毒研究中,研究了光强度和盐度两个自然因素,一个可控因素,海水与废水的体积混合比,一个随机影响因素,天敌的存在。我们的问题和数据是通过具有未知随机参数的增长曲线模型来建模的,该参数可以通过混合模型来描述,其中上述因素作为协变量。对于我们的模型,我们确定最佳方差估计。最后,我们将具有这些最佳估计方差分量的模型应用于从实际实验中获得的数据。

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