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Identification and Explanation of a Change in the Groundwater Regime using Time Series Analysis

Time series analysis is applied to identify and analyze a transition in the groundwater regime in the aquifer below the sand ridge of Salland in the Netherlands, where groundwater regime refers to the range of head variations throughout the seasons. Standard time series analysis revealed a discrepan...

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Detalles Bibliográficos
Autores principales: Obergfell, Christophe, Bakker, Mark, Maas, Kees
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6899948/
https://www.ncbi.nlm.nih.gov/pubmed/31001815
http://dx.doi.org/10.1111/gwat.12891
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author Obergfell, Christophe
Bakker, Mark
Maas, Kees
author_facet Obergfell, Christophe
Bakker, Mark
Maas, Kees
author_sort Obergfell, Christophe
collection PubMed
description Time series analysis is applied to identify and analyze a transition in the groundwater regime in the aquifer below the sand ridge of Salland in the Netherlands, where groundwater regime refers to the range of head variations throughout the seasons. Standard time series analysis revealed a discrepancy between modeled and observed heads in several piezometers indicating a possible change in the groundwater regime. A new time series modeling approach is developed to simulate the transition from the initial regime to the altered regime. The transition is modeled as a weighted sum of two responses, one representing the initial state of the system, the other representing the altered state. The inferred timing and magnitude of the change provided strong evidence that the transition was the result of significant dredging works that increased the river bed conductance of the main river draining the aquifer. The plausibility of this explanation is corroborated by an analytical model. This case study and the developed approach to identify a change in the groundwater regime are meant to stimulate a more systematic application of time series analysis to detect and understand changes in groundwater systems which may easily go unnoticed in groundwater flow modeling.
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spelling pubmed-68999482019-12-20 Identification and Explanation of a Change in the Groundwater Regime using Time Series Analysis Obergfell, Christophe Bakker, Mark Maas, Kees Ground Water Special Section: Time Series Analysis Guest Editor: Mark Bakker, Ph.D./ Time series analysis is applied to identify and analyze a transition in the groundwater regime in the aquifer below the sand ridge of Salland in the Netherlands, where groundwater regime refers to the range of head variations throughout the seasons. Standard time series analysis revealed a discrepancy between modeled and observed heads in several piezometers indicating a possible change in the groundwater regime. A new time series modeling approach is developed to simulate the transition from the initial regime to the altered regime. The transition is modeled as a weighted sum of two responses, one representing the initial state of the system, the other representing the altered state. The inferred timing and magnitude of the change provided strong evidence that the transition was the result of significant dredging works that increased the river bed conductance of the main river draining the aquifer. The plausibility of this explanation is corroborated by an analytical model. This case study and the developed approach to identify a change in the groundwater regime are meant to stimulate a more systematic application of time series analysis to detect and understand changes in groundwater systems which may easily go unnoticed in groundwater flow modeling. Blackwell Publishing Ltd 2019-05-10 2019 /pmc/articles/PMC6899948/ /pubmed/31001815 http://dx.doi.org/10.1111/gwat.12891 Text en © 2019 The Authors. Groundwater published by Wiley Periodicals, Inc. on behalf ofNational Ground Water Association. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Special Section: Time Series Analysis Guest Editor: Mark Bakker, Ph.D./
Obergfell, Christophe
Bakker, Mark
Maas, Kees
Identification and Explanation of a Change in the Groundwater Regime using Time Series Analysis
title Identification and Explanation of a Change in the Groundwater Regime using Time Series Analysis
title_full Identification and Explanation of a Change in the Groundwater Regime using Time Series Analysis
title_fullStr Identification and Explanation of a Change in the Groundwater Regime using Time Series Analysis
title_full_unstemmed Identification and Explanation of a Change in the Groundwater Regime using Time Series Analysis
title_short Identification and Explanation of a Change in the Groundwater Regime using Time Series Analysis
title_sort identification and explanation of a change in the groundwater regime using time series analysis
topic Special Section: Time Series Analysis Guest Editor: Mark Bakker, Ph.D./
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6899948/
https://www.ncbi.nlm.nih.gov/pubmed/31001815
http://dx.doi.org/10.1111/gwat.12891
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