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Investigation of aquifer‐estuary interaction using wavelet analysis of fiber‐optic temperature data
Author(s) -
Henderson R. D.,
DayLewis F. D.,
Harvey C. F.
Publication year - 2009
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2008gl036926
Subject(s) - submarine groundwater discharge , context (archaeology) , continuous wavelet transform , wavelet , remote sensing , wavelet transform , thermistor , environmental science , time series , spatial analysis , geology , aquifer , discrete wavelet transform , hydrology (agriculture) , computer science , groundwater , artificial intelligence , engineering , paleontology , geotechnical engineering , electrical engineering , machine learning
Fiber‐optic distributed temperature sensing (FODTS) provides sub‐minute temporal and meter‐scale spatial resolution over kilometer‐long cables. Compared to conventional thermistor or thermocouple‐based technologies, which measure temperature at discrete (and commonly sparse) locations, FODTS offers nearly continuous spatial coverage, thus providing hydrologic information at spatiotemporal scales previously impossible. Large and information‐rich FODTS datasets, however, pose challenges for data exploration and analysis. To date, FODTS analyses have focused on time‐series variance as the means to discriminate between hydrologic phenomena. Here, we demonstrate the continuous wavelet transform (CWT) and cross‐wavelet transform (XWT) to analyze FODTS in the context of related hydrologic time series. We apply the CWT and XWT to data from Waquoit Bay, Massachusetts to identify the location and timing of tidal pumping of submarine groundwater.