Joint assimilation of piezometric heads and groundwater temperatures for improved modeling of river-aquifer interactions

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Title:Main Title: Joint assimilation of piezometric heads and groundwater temperatures for improved modeling of river-aquifer interactions
Description:Abstract: The ensemble Kalman filter (EnKF) is increasingly used to improve the real-time prediction of groundwater states and the estimation of uncertain hydraulic subsurface parameters through assimilation of measurement data like groundwater levels and concentration data. At the interface between surface water and groundwater, measured groundwater temperature data can provide an additional source of information for subsurface characterizations with EnKF. Additionally, an improved prediction of the temperature field itself is often desirable for groundwater management. In this work, we investigate the worth of a joint assimilation of hydraulic and thermal observation data on the state and parameter estimation with EnKF for two different model setups: (i) a simple synthetic model of a river-aquifer system where the parameters and simulation conditions were perfectly known and (ii) a model of the Limmat aquifer in Zurich (Switzerland) where an exhaustive set of real-world observations of groundwater levels (87) and temperatures (22) was available for assimilation (year 2007) and verification (year 2011). Results for the synthetic case suggest that a joint assimilation of piezometric heads and groundwater temperatures together with updating of uncertain hydraulic parameters gives the best estimation of states and hydraulic properties of the model. For the real-world case, the prediction of groundwater temperatures could also be improved through data assimilation with EnKF. For the validation period, it was found that parameter fields updated with piezometric heads reduced RMSE's of states significantly (heads −49%, temperature −15%), but an additional conditioning of parameters on groundwater temperatures only influenced the characterization of the temperature field.
Identifier:10.1002/2013WR014823 (DOI)
Citation Advice:Kurtz, W., H.-J. Hendricks Franssen, H.-P. Kaiser, and H. Vereecken (2014), Joint assimilation of piezometric heads and groundwater temperatures for improved modeling of river-aquifer interactions, Water Resour. Res., 50, 1665–1688, doi:10.1002/2013WR014823.
Responsible Party
Creators:Wolfgang Kurtz (Author), Harrie-Jan Hendricks-Franssen (Author), H.P. Kaiser (Author), Harry Vereecken (Author)
Publisher:American Geophysical Union
Publication Year:2014
Topic
TR32 Topic:Other
Related Subproject:C6
Subject:Keyword: Data Assimilation
Geogr. Information Topic:Environment
File Details
Filename:wrcr20774.pdf
Data Type:Text - Article
File Size:1.8 MB
Date:Accepted: 01.02.2014
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
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General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
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Specific Information - Publication
Publication Status:Published
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:Water Resources Research
Volume:50
Number of Pages:24 (1665 - 1688)
Metadata Details
Metadata Creator:Wolfgang Kurtz
Metadata Created:02.06.2014
Metadata Last Updated:02.06.2014
Subproject:C6
Funding Phase:2
Metadata Language:English
Metadata Version:V50
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