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UV spectra analysis for water quality monitoring in a fuel park wastewater treatment plant

机译:紫外光谱分析用于燃料园区废水处理厂的水质监测

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In the context of the high application potentials for on-line measurements in wastewater quality monitoring, UV spectroscopy has received recent attention. In the present work UV spectrophotometric analyses were coupled to principal component analysis (PCA) and cluster analysis (CA) to characterize samples taken from a fuel park wastewater treatment plant and to attempt preliminary contaminant identification in the treated wastewater. The score plot resulting from PCA identified two different groups of spectra, one including the influents to the biological reactor and the other the treated wastewater samples. Among the latter, weekday and weekend samples could be further distinguished. The same groups of samples were identified in a dendrogram from CA. The score plot and the dendrogram also allowed the tentative identification of employed process chemicals (lubricant and detergents) as residual contaminants in the treated effluent. (c) 2006 Elsevier Ltd. All rights reserved.
机译:在废水质量监测中在线测量的巨大应用潜力的背景下,UV光谱法最近受到关注。在本工作中,将紫外分光光度分析与主成分分析(PCA)和聚类分析(CA)耦合在一起,以表征从燃料园区废水处理厂获取的样品的特性,并尝试对处理后的废水进行初步的污染物识别。 PCA产生的分数图确定了两组不同的光谱,一组包括生物反应器的进水,另一组包括经过处理的废水样品。在后者中,可以进一步区分工作日和周末样本。在来自CA的树状图中鉴定出相同的样品组。刻痕图和树状图还可以初步确定所使用的过程化学品(润滑剂和清洁剂)是否为处理后的废水中的残留污染物。 (c)2006 Elsevier Ltd.保留所有权利。

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