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标题：Application of Statistical and Spatial Outlier Identification for Evaluating the Environmental Baseline of Iron in Shallow Groundwater
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作者：Linhua Sunj ; Herong Gui
期刊名称：Nature, Environment and Pollution Technology
印刷版ISSN：0972-6268
出版年度：2015
卷号：14
期号：2
语种：English
出版社：Technoscience Publications
摘要：Environmental baseline is essential for local environmental management, and a series of methods havebeen carried out for solving this issue. In this study, sixty-two shallow groundwater samples from the urbanarea in Suzhou, northern Anhui Province, China have been collected and analysed for their iron concentrations,and then processed by either statistical (box plot) or spatial analyses (spatial clustering) for outlier identification.The results indicate that four and five samples have been identified as outliers by box plot and spatialanalysis, respectively, and the rest of the samples (fifty-four) have been set as environmental baselinesamples. Their mean ± 2 concentration is then set as environmental baseline (0-104.720 µg/L). The studydemonstrated that spatial analysis is useful for assisting the outlier identification during evaluating theenvironmental baseline relative to statistical methods..