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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 15, issue 3
Hydrol. Earth Syst. Sci., 15, 1081–1093, 2011
https://doi.org/10.5194/hess-15-1081-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 15, 1081–1093, 2011
https://doi.org/10.5194/hess-15-1081-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 30 Mar 2011

Research article | 30 Mar 2011

Assessment of a vertical high-resolution distributed-temperature-sensing system in a shallow thermohaline environment

F. Suárez1, J. E. Aravena2, M. B. Hausner3, A. E. Childress2, and S. W. Tyler1 F. Suárez et al.
  • 1Department of Geological Sciences and Engineering, University of Nevada, Reno, USA
  • 2Department of Civil and Environmental Engineering, University of Nevada, Reno, USA
  • 3Graduate Program of Hydrologic Sciences, University of Nevada, Reno, USA

Abstract. In shallow thermohaline-driven lakes it is important to measure temperature on fine spatial and temporal scales to detect stratification or different hydrodynamic regimes. Raman spectra distributed temperature sensing (DTS) is an approach available to provide high spatial and temporal temperature resolution. A vertical high-resolution DTS system was constructed to overcome the problems of typical methods used in the past, i.e., without disturbing the water column, and with resistance to corrosive environments. This paper describes a method to quantitatively assess accuracy, precision and other limitations of DTS systems to fully utilize the capacity of this technology, with a focus on vertical high-resolution to measure temperatures in shallow thermohaline environments. It also presents a new method to manually calibrate temperatures along the optical fiber achieving significant improved resolution. The vertical high-resolution DTS system is used to monitor the thermal behavior of a salt-gradient solar pond, which is an engineered shallow thermohaline system that allows collection and storage of solar energy for a long period of time. The vertical high-resolution DTS system monitors the temperature profile each 1.1 cm vertically and in time averages as small as 10 s. Temperature resolution as low as 0.035 °C is obtained when the data are collected at 5-min intervals.

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