Papaioannou Agelos, Rigas George, Kella Sotiria, Lokkas Filotheos, Dinouli Dimitra, Papakonstantinou Argiris, Spiliotis Xenofon, Plageras Panagiotis
Clinical Chemistry - Biochemistry Section, Department of Medical Laboratories, Education & Technological Institute of Thessaly, 41110 Larissa, Greece.
Water Environ Res. 2016 Jul;88(7):631-43. doi: 10.2175/106143016X14609975746523.
Chemometric methods were used to analyze large data sets of groundwater quality from 18 wells supplying the central drinking water system of Larissa city (Greece) during the period 2001 to 2007 (8.064 observations) to determine temporal and spatial variations in groundwater quality and to identify pollution sources. Cluster analysis grouped each year into three temporal periods (January-April (first), May-August (second) and September-December (third). Furthermore, spatial cluster analysis was conducted for each period and for all samples, and grouped the 28 monitoring Units HJI (HJI=represent the observations of the monitoring site H, the J-year and the period I) into three groups (A, B and C). Discriminant Analysis used only 16 from the 24 parameters to correctly assign 97.3% of the cases. In addition, Factor Analysis identified 7, 9 and 8 latent factors for groups A, B and C, respectively.
采用化学计量学方法，对2001年至2007年期间为希腊拉里萨市中央饮用水系统供水的18口水井的大量地下水水质数据集（8064个观测值）进行分析，以确定地下水水质的时空变化并识别污染源。聚类分析将每年分为三个时间段（1月至4月（第一个）、5月至8月（第二个）和9月至12月（第三个））。此外，对每个时间段和所有样本进行了空间聚类分析，并将28个监测单元HJI（HJI = 代表监测站点H、第J年和第I时间段的观测值）分为三组（A、B和C）。判别分析仅使用24个参数中的16个，正确分类了97.3%的案例。此外，因子分析分别为A、B和C组确定了7个、9个和8个潜在因子。
