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针对以往氯衰减模型的局限性,提出一种旨在提高预测结果准确性和实用性的新的氯衰减模型——速率系数可变模型(Variable Rate Coefficient,VRC),模型的建立基于双分子二级反应动力学速率方程,共包含4个参数(X0,κ0,kmin和α).采用6个水源的实验数据对VRC模型、一级模型以及由Boccelli等人建立的二级模型进行校核和比较分析.结果表明:VRC模型对所有数据集的拟合情况均明显优于另外两个模型,可以更为准确地预测氯的衰减情况.为保证模型预测结果的精度,在校核VRC模型时,除了最好使用至少1组初始氯质量浓度较高的数据集以保证模型的稳定性之外,还应调整输入VRC模型中的初始氯质量浓度以减小模型预测值和实测值之间的差距.
Aiming at the limitations of previous chlorine decay models, a new chlorine decay model, Variable Rate Coefficient (VRC), is proposed to improve the accuracy and practicability of the prediction results. The model was established based on bimolecular di The kinetic kinetic equation for the reaction kinetics includes four parameters (X0, κ0, kmin and α). The VRC model, the first-level model and the second-level model established by Boccelli et al The results show that the fitting of VRC model to all datasets is obviously better than the other two models, which can predict the decay of chlorine more accurately.In order to ensure the accuracy of model prediction, , Except that it is best to use at least one set of initial high chloride concentration datasets to ensure model stability, adjust the initial chlorine concentration in the input VRC model to reduce the difference between the predicted and measured values of the model gap.