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Statistical mapping of zones of focused groundwater/surface‐water exchange using fiber‐optic distributed temperature sensing
Author(s) -
Mwakanyamale Kisa,
DayLewis Frederick D.,
Slater Lee D.
Publication year - 2013
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1002/wrcr.20458
Subject(s) - stage (stratigraphy) , groundwater , remote sensing , environmental science , field (mathematics) , surface water , optical fiber , hydrology (agriculture) , data mining , computer science , geology , mathematics , geotechnical engineering , environmental engineering , telecommunications , paleontology , pure mathematics
Fiber‐optic distributed temperature sensing (FO‐DTS) increasingly is used to map zones of focused groundwater/surface‐water exchange (GWSWE). Previous studies of GWSWE using FO‐DTS involved identification of zones of focused GWSWE based on arbitrary cutoffs of FO‐DTS time‐series statistics (e.g., variance, cross‐correlation between temperature and stage, or spectral power). New approaches are needed to extract more quantitative information from large, complex FO‐DTS data sets while concurrently providing an assessment of uncertainty associated with mapping zones of focused GSWSE. Toward this end, we present a strategy combining discriminant analysis (DA) and spectral analysis (SA). We demonstrate the approach using field experimental data from a reach of the Columbia River adjacent to the Hanford 300 Area site. Results of the combined SA/DA approach are shown to be superior to previous results from qualitative interpretation of FO‐DTS spectra alone.