Print Email Facebook Twitter Combining statistical methods for detecting potential outliers in groundwater quality time series Title Combining statistical methods for detecting potential outliers in groundwater quality time series Author Berendrecht, W.L. van Vliet, M.E. Griffioen, J. Publication year 2023 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 show a large variety of dynamics and often comprise few ( Subject Outlier detectionNon-detectsDetrendingMonitoring networksGroundwater quality dataGeological Survey Netherlands2015 Energy To reference this document use: http://resolver.tudelft.nl/uuid:c1b21f0b-8b0f-4f0f-928b-2bbfecbc86e5 TNO identifier 978235 Source Environmental Monitoring and Assessment, 1-14 Document type article Files PDF berendrecht-2023-combining.pdf