To the top

Page Manager: Webmaster
Last update: 9/11/2012 3:13 PM

Tell a friend about this page
Print version

Index-Based Characterizat… - University of Gothenburg, Sweden Till startsida
To content Read more about how we use cookies on

Index-Based Characterization and Quantification of Groundwater Dynamics

Journal article
Authors B. Heudorfer
Ezra Haaf
K. Stahl
Roland Barthel
Published in Water Resources Research
Volume 55
Issue 7
Pages 5575-5592
ISSN 0043-1397
Publication year 2019
Published at Department of Earth Sciences
Pages 5575-5592
Language en
Keywords dynamics, groundwater, indices, redundancy analysis, time series, typology, Aquifers, Hydrogeology, Principal component analysis, Redundancy, Time series analysis, Groundwater dynamics, Groundwater system, Information contents, Measurement interval, Quantitative measures, Groundwater resources
Subject categories Hydrology


Time series of groundwater head measurements serve as a primary source of information on groundwater systems. In different groundwater systems, and across several scales, we observe a multitude of patterns in groundwater time series, resulting from complex hydrogeological setups. Unlike in surface hydrology, there is no generalized classification to categorize and quantify the dynamics in groundwater time series. This leads to a lack of tools that could help us disentangle the information contained in groundwater time series in a systematic way. To approach such a classification, we present a principle for organization to qualitatively describe and to quantify groundwater dynamics in a nonredundant and data efficient way. We devise a descriptive typology of groundwater dynamics and assign quantitative measures, mathematically expressing these dynamics. Based on an extensive data set of daily groundwater hydrographs from central Europe, we analyze the relationship between indices and typology based on principal component analysis. The principal component analysis is also used to investigate and discuss redundancy, that is, indices expressing similar information content of hydrographs. Further, the indices' sensitivity to measurement interval and length of the overall observed period is investigated. Finally, a case study demonstrates the potential of the typology and index approach to link groundwater dynamics to the underlying hydrogeological process controls. The tools provided for characterization and quantification of groundwater dynamics should improve future efforts of groundwater classification and prediction in ungauged aquifers and other applications. ©2019. The Authors.

Page Manager: Webmaster|Last update: 9/11/2012

The University of Gothenburg uses cookies to provide you with the best possible user experience. By continuing on this website, you approve of our use of cookies.  What are cookies?