一种基于变差函数的污水处理出水预测变量选择工具

M. Ohenoja, J. Tomperi
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引用次数: 1

摘要

在本研究中,利用变异函数法作为变量选择工具,寻找最优变量子集,用于开发废水处理出水质量预测模型。通过生物处理废水中的生物需氧量和化学需氧量以及悬浮物来评价出水质量。除了传统的过程测量,数据集还包括一种新型光学监测设备的结果,该设备用于在一年多的时间内对活性污泥过程进行原位成像。研究表明,基于变差函数的方法具有快速、计算简便的变量选择潜力。所开发的模型可用于主动监测和预估几个阶段的污水质量,并与从处理过的废水中进行的实验室分析进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Variogram-Based Tool for Variable Selection in a Wastewater Treatment Effluent Prediction
In this study, a variogram method was utilized as a variable selection tool for finding the optimal subsets of variables for developing predictive models for the quality of wastewater treatment effluent. The quality of effluent was here assessed by biological and chemical oxygen demand and suspended solids in biologically treated wastewater. The dataset included, in addition to traditional process measurements, results of a novel optical monitoring device which was used for imaging an activated sludge process in-situ during a period of over one year. The study showed that the variogram based method has potential in fast and computationally easy variable selection. The developed models can be used for proactive monitoring and estimating the quality of effluent in several stages hours before in comparison to laboratory analysis taken from treated wastewater.
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