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Cluster Analysis and Principle Component Analysis of Water Quality Data from Silver Springs and Wells in the Spring Shed

机译：春季银泉水井水质资料聚类分析及主成分分析

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Levels of nitrate-N (nitrate) and 12 other water quality parameters were examined from published data from 56 wells in the Silver Springs spring shed in an effort to locate specific regions that may be sources of elevated nitrate concentrations in Silvers Springs discharge. Clustering, principal components and spatial linear models (kriging) were computed and results plotted to aid in the location of elevated nitrate. A descriptive plot coloring wells by nitrate level and predictions from a kriging spatial model were by far the best locators of regions with elevated nitrate. Three regions were identified as having elevated nitrate levels, hence indicating possible sources of nitrate contamination: one area 6 miles northwest of Silver Springs, and two areas 8 miles and 14 miles south of Silver Springs. The latter area is near the southern boundary of Marion County. The use of clustering and principal components provide interesting detail on how the 13 water quality parameters are interrelated and specifically which parameters co-vary with nitrate, providing a nitrate-related index to water quality. However, kriging is the best of the three methods used to identify areas contributing to nitrate contamination at Silver Springs.

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