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LPMLE n –A Frequency Domain Method to Estimate Vertical Streambed Fluxes and Sediment Thermal Properties in Semi‐Infinite and Bounded Domains
Author(s) -
Kampen Ricky,
Schneidewind Uwe,
Anibas Christian,
Bertagnoli Andrea,
Tonina Daniele,
Vandersteen Gerd,
Luce Charles,
Krause Stefan,
Berkel Matthijs
Publication year - 2022
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 - 10.1029/2021wr030886
Subject(s) - bounded function , frequency domain , domain (mathematical analysis) , thermal diffusivity , compensation (psychology) , field (mathematics) , noise (video) , time domain , mathematics , mathematical analysis , computer science , physics , thermodynamics , psychology , artificial intelligence , psychoanalysis , pure mathematics , image (mathematics) , computer vision
This paper presents the LPMLE n , a new method to estimate vertical flux and thermal diffusivity from streambed temperature time series using the frequency domain. The main advantages of this new method are: (a) the use of multiple frequencies and multiple sensors for the parameter estimation; (b) noise/uncertainty handling in an optimal way; (c) the possibility to estimate the parameters with both semi‐infinite and bounded domain models; and (d) the compensation for temperature drifts in the data known as transients. The capabilities of the LPMLE n are demonstrated using both synthetic and field data, highlighting the advantages of the bounded domain model over the semi‐infinite domain model in the parameter estimation process.