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Index‐based characterization and quantification of groundwater dynamics

Artikel i vetenskaplig tidskrift
Författare Benedikt Heudorfer
Ezra Haaf
Kerstin Stahl
Roland Barthel
Publicerad i Water Resources Research
ISSN 0043-1397
Publiceringsår 2019
Publicerad vid Institutionen för geovetenskaper
Språk en
Länkar dx.doi.org/10.1029/2018WR024418
Ämnesord • Features of groundwater level time series are organized conceptually • Quantitative indices are assigned to the conceptual organization to characterize patterns in time series • Index sensitivity analysis and demonstration of the potential for groundwater classification
Ämneskategorier Vatten i natur och samhälle, Hydrologi, Multidisciplinär geovetenskap, Klimatforskning, Geologi, Geovetenskap och miljövetenskap

Sammanfattning

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.

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