Combining statistical methods for detecting potential outliers in groundwater quality time series

Autor:	Berendrecht, Wilbert, van Vliet, Mariëlle, Griffioen, Jasper, Water Quality Management, Environmental Sciences
Přispěvatelé:	Water Quality Management, Environmental Sciences
Rok vydání:	2022
Předmět:	Time Factors Monitoring Policy and Law General Medicine Management Monitoring Policy and Law Detrending Pollution Management Monitoring networks Non-detects Environmental Science(all) Outlier detection Groundwater quality data Groundwater General Environmental Science Environmental Monitoring
Zdroj:	Environmental Monitoring and Assessment, 195(1). Springer Netherlands
ISSN:	1573-2959
Popis:	Quality control of large-scale monitoring networks requires the use of automatic procedures to detect potential outliers in an unambiguous and reproducible manner. This paper describes a methodology that combines existing statistical methods to accommodate for the specific characteristics of measurement data obtained from groundwater quality monitoring networks: the measurement series show a large variety of dynamics and often comprise few (
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f123f139ae20e4602178e6e6a1331c2 https://pubmed.ncbi.nlm.nih.gov/36344854 Zobrazit plný text záznamu Full text from SpringerLink