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

DSpace/Manakin Repository

Combining statistical methods for detecting potential outliers in groundwater quality time series
 
Berendrecht, Wilbert; van Vliet, Mariëlle; Griffioen, Jasper
(2023) Environmental Monitoring and Assessment, volume 195, issue 1
(Article)
Abstract
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 ... read more
Download/Full Text
Open Access version via Utrecht University Repository Publisher version
 
Keywords: Detrending, Groundwater quality data, Monitoring networks, Non-detects, Outlier detection, General Environmental Science, Pollution, Management, Monitoring, Policy and Law
DOI: https://doi.org/10.1007/s10661-022-10661-0
ISSN: 1573-2959
Publisher: Springer
Note: Funding Information: This paper has been written as a result of the research project GIP-Datakwaliteit carried out by the Geological Survey of the Netherlands — part of TNO and was inspired by the method applied by RIVM to long-term time series and described in Reijnders et al. (2004). Tano Kivits is thanked for the earlier literature research on outlier detection tests. The translator and language editor was Joy Burrough. Publisher Copyright: © 2022, The Author(s).
(Peer reviewed)
 
 
See more statistics about this item