Method for identifying outliers of soil heavy metal data

CORC > 生态环境研究中心 > 中国科学院生态环境研究中心 > 环境水质学国家重点实验室

	Method for identifying outliers of soil heavy metal data
	Wan, Xiaoming; Yang, Jun; Wang, Jingyun; Zheng, Yuanming; Lei, Mei; Yang, Junxing; Chen, Tongbin
刊名	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
	2018-05-01
卷号	25 期号:13 页码:12868-12875
关键词	Soil heavy metal Outlier data Checkout method Cross-validation Prediction accuracy
ISSN号	0944-1344
文献子类	Article
英文摘要	Artificial errors in the experimental process may lead to some outliers, which reduce data quality and cause erroneous judgment in soil pollution assessment. Based on this, a method for detecting outliers of soil heavy metal data was proposed in this study. The As, Cd, and Pb concentrations of the soil in Beijing, China, were taken as samples to verify the validity of the method. Results showed that there were 8, 34, and 38 outliers for the As, Cd, and Pb concentrations in the Beijing soil, respectively. The result of re-analyzed revealed that 75.0, 76.5, and 92.1% of the As, Cd, and Pb outliers, respectively, were caused by artificial errors. After correcting, the interpolation accuracy for data was improved significantly. The mean relative error (MRE) of the As, Cd, and Pb outliers decreased by 48.0, 44.6, and 54.7%, while the mean square error of these outliers decreased by 34.2, 33.3, and 46.4%, respectively. The MRE values of the nearest neighboring points which were influenced by the outliers decreased by 5.2, 20.6, and 27.6%, while the mean square error of these points decreased by 5.3, 17.3, and 33.2%, respectively. To our knowledge, this is the first study on detecting outliers of soil heavy metal data. The method considers both spatial and numerical outliers, which avoids the limitation of single method, and can effectively improve the data quality of soil heavy metal concentrations with a finite sample size and analysis time.
内容类型	期刊论文
源URL	[http://ir.rcees.ac.cn/handle/311016/41158]
专题	生态环境研究中心_环境水质学国家重点实验室
推荐引用方式 GB/T 7714	Wan, Xiaoming,Yang, Jun,Wang, Jingyun,et al. Method for identifying outliers of soil heavy metal data[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2018,25(13):12868-12875.
APA	Wan, Xiaoming.,Yang, Jun.,Wang, Jingyun.,Zheng, Yuanming.,Lei, Mei.,...&Chen, Tongbin.(2018).Method for identifying outliers of soil heavy metal data.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,25(13),12868-12875.
MLA	Wan, Xiaoming,et al."Method for identifying outliers of soil heavy metal data".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 25.13(2018):12868-12875.