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Analysis of Spatiotemporal Trends of Water Quality Parameters Using Cluster Analysis in South Florida

机译：基于聚类分析的南佛罗里达州水质参数的时空趋势

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Hierarchical agglomerative cluster analysis (CA) using Ward's method was applied to analyze the sptiaotemporal variations of 12 water quality parameters of three major rivers of South Florida (Kissimmee River, Caloosahatchee River, and Miami Canal). Data monitored from 16 different sites, after dividing into two dry and wet seasons, were subjected to cluster analysis and all sites were grouped into three clusters of relatively low pollution (LP), moderate pollution (MP), and high pollution (HP) reflecting the water quality characteristics. The results of this study revealed that the average concentrations of nutrients in Caloosahatchee River were higher than the other two studied rivers. Results also indicated that the overall water quality condition in two S154C and CES03 sites were tremendously worse than other sites in both seasons. The spatial variation of water quality was detected to be under the influence of both point and non-point sources of pollution resulted from anthropogenic activities.
机译：应用沃德方法进行的层次聚类分析（CA）用于分析南佛罗里达的三大主要河流（基西米河，卡卢萨哈奇河和迈阿密运河）的12种水质参数的时空变化。在分为两个干燥季节和潮湿季节之后，对来自16个不同站点的监测数据进行了聚类分析，并将所有站点分为以下三个类别：相对低污染（LP），中度污染（MP）和高污染（HP）水质特征。这项研究的结果表明，Caloosahatchee河中养分的平均浓度高于其他两个研究河。结果还表明，两个季节中两个S154C和CES03站点的总体水质状况都比其他站点差很多。水质的空间变化受人为活动造成的点污染和非点污染源的影响。

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