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Automated Time Series Modeling for Piezometers in the National Database of the Netherlands

The Geological Survey of the Netherlands (TNO‐GSN) maintains a public national database of groundwater head observations. Transfer function‐noise modeling has been applied to the time series in order to extract the impulse response functions for precipitation and evaporation for each piezometer. An...

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Detalles Bibliográficos
Autores principales: Zaadnoordijk, Willem J., Bus, Stefanie A.R., Lourens, Aris, Berendrecht, Wilbert L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379626/
https://www.ncbi.nlm.nih.gov/pubmed/30105748
http://dx.doi.org/10.1111/gwat.12819
Descripción
Sumario:The Geological Survey of the Netherlands (TNO‐GSN) maintains a public national database of groundwater head observations. Transfer function‐noise modeling has been applied to the time series in order to extract the impulse response functions for precipitation and evaporation for each piezometer. An automated procedure has been developed to assess the quality of the time series and of the models. The time series models of sufficient quality offer far more homogeneous data on the piezometric head than the original measurements. This allows for improved mapping of the head at a specific date or of characteristics of the head like average summer or winter levels. Also, the separation of precipitation and evaporation from other influences is useful for groundwater management and policy. The individual time series models are available online with interactive graphics (https://www.grondwatertools.nl/grondwatertools‐viewer). The spatial patterns of the impulse response function characteristics can support analyses of the groundwater system.