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Double-Ended Calibration of Fiber-Optic Raman Spectra Distributed Temperature Sensing Data

Department of Water Management, Delft University of Technology, Stevinweg 1, CN Delft 2628, The Netherlands
Department of Geologic Sciences and Engineering, University of Nevada, Reno, MS 172, Reno, NV 89557, USA
Department of Biological and Ecological Engineering, Oregon State University, 116 Gilmore Hall, Corvallis, OR 97331, USA
Author to whom correspondence should be addressed.
Sensors 2012, 12(5), 5471-5485;
Received: 15 February 2012 / Revised: 10 April 2012 / Accepted: 16 April 2012 / Published: 27 April 2012
(This article belongs to the Special Issue Optical Fiber Sensors 2012)
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Over the past five years, Distributed Temperature Sensing (DTS) along fiber optic cables using Raman backscattering has become an important tool in the environmental sciences. Many environmental applications of DTS demand very accurate temperature measurements, with typical RMSE < 0.1 K. The aim of this paper is to describe and clarify the advantages and disadvantages of double-ended calibration to achieve such accuracy under field conditions. By measuring backscatter from both ends of the fiber optic cable, one can redress the effects of differential attenuation, as caused by bends, splices, and connectors. The methodological principles behind the double-ended calibration are presented, together with a set of practical considerations for field deployment. The results from a field experiment are presented, which show that with double-ended calibration good accuracies can be attained in the field. View Full-Text
Keywords: Distributed Temperature Sensing (DTS); calibration; environmental monitoring; hydrology Distributed Temperature Sensing (DTS); calibration; environmental monitoring; hydrology

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Van de Giesen, N.; Steele-Dunne, S.C.; Jansen, J.; Hoes, O.; Hausner, M.B.; Tyler, S.; Selker, J. Double-Ended Calibration of Fiber-Optic Raman Spectra Distributed Temperature Sensing Data. Sensors 2012, 12, 5471-5485.

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