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Assessment of CSO loads - based on UV/VIS-spectroscopy by means of different regression methods

机译:评估CSO负载-基于UV / VIS光谱的不同回归方法

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The use of UV/VIS-spectroscopy for water quality measurements is based on the solution of the correlation between the surrogate parameter absorbance and the resulting equivalence parameters. The coherence of absorbance and equivalence parameters (CODtot, CODsol, TSS) is solved in this paper with different regression methods. The correlation of absorbance and concentrations are analysed based on linear regression methods, model tree regressions, multivariate regression methods and support vector machines using sequential minimal optimisation algorithm. For this purpose the regression methods are calibrated on three 24hours measurement campaigns of a combined sewer measurement station situated in the combined sewer overflow chamber in Graz (Austria). The online measurement station has been conveying data for more than 21 years up to now. Finally, the load calculation based on the different 2 regression methods and its comparison demonstrate that an apparently complex model does not inevitably lead to accurate concentration values due to possible model overfitting. Hence, the paper points out the possibilities and the drawbacks of spectroscopy measuring in sewers and the arising concentration values.
机译:UV / VIS光谱法用于水质测量的方法是基于替代参数吸收率和所得等效参数之间的相关性解决方案。本文采用不同的回归方法解决了吸光度和当量参数(CODtot,CODsol,TSS)的相干问题。使用线性最小回归算法,线性回归方法,模型树回归,多元回归方法和支持向量机,分析吸光度和浓度的相关性。为此,在位于奥地利格拉茨的联合下水道溢流室中的联合下水道测量站的三个24小时测量活动中对回归方法进行了校准。到目前为止,在线测量站已传输数据超过21年。最后,基于不同的两种回归方法的负荷计算及其比较表明,由于可能的模型过度拟合,表面上复杂的模型不可避免地导致精确的浓度值。因此,本文指出了在下水道中进行光谱测量的可能性和缺点以及由此产生的浓度值。

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