Outlier Identification of Concentrations of Pollutants in Environmental Data Using Modern Statistical Methods

Veselik Petr; Sejkorova Marie; Nieoczym Aleksander; Caban Jacek

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Outlier Identification of Concentrations of Pollutants in Environmental Data Using Modern Statistical Methods

机译：使用现代统计方法识别环境数据中污染物浓度的差异

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摘要

The article is focused on identification of outlier measurements in environmental data which may significantly affect the future results of the analysis and interpretation of results. For this reason, their identification forms an integral part of data analysis. The aim of this article is to perform statistical analysis that automatically identifies segments of outlier measurements. The results were demonstrated on real concentration data. The methodological procedure was used to evaluate particulate matter of the PM10 fraction size from two monitoring stations located in Brno, Czech Republic.

机译：本文专注于确定环境数据中的异常值测量，这可能会显着影响分析和解释结果的未来结果。因此，它们的识别形成了数据分析的一个组成部分。本文的目的是进行统计分析，它自动识别异常值测量的段。结果在实际浓度数据上证明了结果。方法学程序用于评估PM10分数大小的颗粒物质，从位于捷克共和国布尔诺的两个监测站。

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来源
《Polish Journal of Environmental Studies》 |2020年第2期|853-860|共8页
作者
Veselik Petr; Sejkorova Marie; Nieoczym Aleksander; Caban Jacek;
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作者单位

Univ Def Dept Quantitat Methods Brno Czech Republic;

Univ Pardubice Fac Transport Engn Pardubice Czech Republic;

Lublin Univ Technol Dept Machine Design & Mechatron Fac Mech Engn Lublin Poland;

Univ Life Sci Lublin Fac Prod Engn Lublin Poland;

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原文格式 PDF
正文语种 eng
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关键词
capability indices; control charts; particulate matter PM10; kernel regression; outlier measurements;

机译：能力指数;控制图;颗粒物问题PM10;核回归;异常值测量;

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7. The application of three methods to measure the statistical association between different social groups and the concentration of air pollutants in Montreal: A case of environmental equity [O] . Mathieu Carrier, Philippe Apparicio, Anne-Marie Séguin, 2014

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8. A statistical technique for computer identification of outliers in multivariate data [R] . Swaroop, R., Winter, W. R. 1971

机译：计算机识别多变量数据中异常值的统计技术

Outlier Identification of Concentrations of Pollutants in Environmental Data Using Modern Statistical Methods

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