Literature DB >> 30105748

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

Willem J Zaadnoordijk1, Stefanie A R Bus2, Aris Lourens2,3, Wilbert L Berendrecht4.   

Abstract

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.
© 2018 The Authors. Groundwater published by Wiley Periodicals, Inc. on behalf of National Ground Water Association.

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Year:  2018        PMID: 30105748     DOI: 10.1111/gwat.12819

Source DB:  PubMed          Journal:  Ground Water        ISSN: 0017-467X            Impact factor:   2.671


  2 in total

1.  Pastas: Open Source Software for the Analysis of Groundwater Time Series.

Authors:  Raoul A Collenteur; Mark Bakker; Ruben Caljé; Stijn A Klop; Frans Schaars
Journal:  Ground Water       Date:  2019-08-24       Impact factor: 2.671

2.  Comment on "How Good is Your Model Fit? Weighted Goodness-of-Fit Metrics for Irregular Time Series".

Authors:  Willem J Zaadnoordijk
Journal:  Ground Water       Date:  2022-01-28       Impact factor: 2.887

  2 in total

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