Feher Ioana-Coralia, Moldovan Zaharie, Oprean Ioan
National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103, Donat Street, Cluj-Napoca 400293, Romania E-mail:
Faculty of Chemistry and Chemical Engineering, Babes-Bolyai University, 11, Arany Janos Street, Cluj-Napoca 400028, Romania.
Water Sci Technol. 2016 Oct;74(7):1726-1735. doi: 10.2166/wst.2016.351.
In this study, analysis of variance (ANOVA), cluster analysis (CA) and principal component analysis (PCA) were employed in order to evaluate the concentration profile of organic contaminants found in three main river from central Transylvania, Romania. Samples were collected from nine sampling stations, in two different sampling campaigns (wet season and dry season). Water samples were extracted using solid-phase extraction and analyzed using gas chromatography coupled with mass spectrometry (GC/MS). Twelve organic pollutants belonging to different classes were used for further interpretations. ANOVA highlighted compounds which distinguished Olt River from Mures River, and compounds that are influenced by increased river flow from the wet season. CA was applied to group the sampling stations. Three clusters were obtained, according to their organic load. PCA extracted five principal components explaining 87.330% from data set variability. Based on these results, a future monitoring study may be optimized by reducing the sampling points and compounds to those that are representative for each river, thereby reducing costs, without any information loss.
在本研究中，采用方差分析（ANOVA）、聚类分析（CA）和主成分分析（PCA）来评估罗马尼亚特兰西瓦尼亚中部三条主要河流中有机污染物的浓度分布情况。样本取自九个采样站，分两次不同的采样活动（雨季和旱季）采集。水样采用固相萃取法提取，并使用气相色谱-质谱联用仪（GC/MS）进行分析。选取了十二种不同类别的有机污染物用于进一步解读。方差分析突出了区分奥尔特河和穆列什河的化合物，以及受雨季河流流量增加影响的化合物。聚类分析用于对采样站进行分组。根据有机负荷得到了三个聚类。主成分分析提取了五个主成分，解释了数据集变异性的87.330%。基于这些结果，未来的监测研究可以通过将采样点和化合物减少到每条河流的代表性样本，从而在不损失任何信息的情况下降低成本，实现优化。
