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Comparing Methods and Defining Practical Requirements for Extracting Harmonic Tidal Components from Groundwater Level Measurements

Schweizer, Daniel 1; Ried, Vincent 1; Rau, Gabriel C. 1; Tuck, Jonathan E.; Stoica, Petre
1 Institut für Angewandte Geowissenschaften (AGW), Karlsruher Institut für Technologie (KIT)

The groundwater pressure response to the ubiquitous Earth and atmospheric tides provides a largely untapped opportunity to passively characterize and quantify subsurface hydro-geomechanical properties. However, this requires reliable extraction of closely spaced harmonic components with relatively subtle amplitudes but well-known tidal periods from noisy measurements. The minimum requirements for the suitability of existing groundwater records for analysis are unknown. This work systematically tests and compares the ability of two common signal processing methods, the discrete Fourier transform (DFT) and harmonic least squares (HALS), to extract harmonic component properties. First, realistic conditions are simulated by analyzing a large number of synthetic data sets with variable sampling frequencies, record durations, sensor resolutions, noise levels and data gaps. Second, a model of two real-world data sets with different characteristics is validated. The results reveal that HALS outperforms the DFT in all aspects, including the ability to handle data gaps. While there is a clear trade-off between sampling frequency and record duration, sampling rates should not be less than six samples per day and records should not be shorter than 20 days when simultaneously extracting tidal constituents. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000129759
Veröffentlicht am 17.02.2021
DOI: 10.1007/s11004-020-09915-9
Zitationen: 3
Web of Science
Zitationen: 3
Zitationen: 4
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Geowissenschaften (AGW)
Universität Karlsruhe (TH) – Interfakultative Einrichtungen (Interfakultative Einrichtungen)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1874-8961, 1874-8953
KITopen-ID: 1000129759
Erschienen in Mathematical geosciences
Verlag Springer Verlag
Band 53
Heft 6
Seiten 1147–1169
Projektinformation SubTideTools (EU, H2020, 835852)
Vorab online veröffentlicht am 03.02.2021
Schlagwörter Tidal subsurface analysis, Tidal constituents, Signal analysis, Harmonicleast squares, Non-uniform sampling
Nachgewiesen in Web of Science
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