Articles | Volume 5, issue 1
https://doi.org/10.5194/gi-5-151-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gi-5-151-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
20 May 2016
Research article |
| 20 May 2016
Practical considerations for enhanced-resolution coil-wrapped distributed temperature sensing
Water Resources Section, Faculty of Civil Engineering and Geosciences,
Delft University of Technology, Delft, P.O. Box 5048, 2600 GA, the
Netherlands
Tim van Emmerik
Water Resources Section, Faculty of Civil Engineering and Geosciences,
Delft University of Technology, Delft, P.O. Box 5048, 2600 GA, the
Netherlands
Anna Solcerova
Water Resources Section, Faculty of Civil Engineering and Geosciences,
Delft University of Technology, Delft, P.O. Box 5048, 2600 GA, the
Netherlands
Wouter Berghuijs
Department of Civil Engineering, University of Bristol, Bristol,
University Walk, BS8 1TR, UK
John Selker
Department of Biological and Ecological Engineering, Oregon State
University, Corvallis, 116 Gilmore Hall, OR 97331, USA
Nick van de Giesen
Water Resources Section, Faculty of Civil Engineering and Geosciences,
Delft University of Technology, Delft, P.O. Box 5048, 2600 GA, the
Netherlands
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In this synthesis of hydrologic scaling and similarity, we assert that it is time for hydrology to embrace a fourth paradigm of data-intensive science. Advances in information-based hydrologic science, coupled with an explosion of hydrologic data and advances in parameter estimation and modeling, have laid the foundation for a data-driven framework for scrutinizing hydrological hypotheses. We call upon the community to develop a focused effort towards a fourth paradigm for hydrology.
Stephen A. Drake, John S. Selker, and Chad W. Higgins
Geosci. Instrum. Method. Data Syst., 6, 199–207, https://doi.org/10.5194/gi-6-199-2017, https://doi.org/10.5194/gi-6-199-2017, 2017
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Intrinsic permeability of snow is an important parameter that regulates snow–atmosphere exchange. Current permeability measurements require specialized equipment for acquisition in the field and have increased variability with increasing snow heterogeneity. To facilitate a field-based, volume-averaged measure of permeability, we designed and assembled an acoustic permeameter. When using reticulated foam samples of known permeability, the mean relative error from known values was less than 20 %.
Rolf Hut, Niels Drost, Maarten van Meersbergen, Edwin Sutanudjaja, Marc Bierkens, and Nick van de Giesen
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2016-225, https://doi.org/10.5194/gmd-2016-225, 2016
Revised manuscript not accepted
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A system that predicts the amount of water flowing in each river on earth, 9 days ahead, is build using existing parts of open source computer code build by different researchers in other projects.
The glue between all pre-existing parts are all open interfaces which means that the pieces system click together like a house of LEGOs. It is easy to remove a piece (a brick) and replace it with another, improved, piece.
The resulting predictions are available online at forecast.ewatercycle.org
Rolf Hut, Scott Tyler, and Tim van Emmerik
Geosci. Instrum. Method. Data Syst., 5, 45–51, https://doi.org/10.5194/gi-5-45-2016, https://doi.org/10.5194/gi-5-45-2016, 2016
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Temperature-sensor-incorporated waders worn by the public can give scientists an additional source of information on stream water-groundwater interaction. A pair of waders was equipped with a thermistor and calibrated in the lab. Field tests in a deep polder ditch with a known localized groundwater contribution showed that the waders are capable of identifying the boil location. This can be used to decide where the most interesting places are to do more detailed and more expensive research.
T. Read, V. F. Bense, R. Hochreutener, O. Bour, T. Le Borgne, N. Lavenant, and J. S. Selker
Geosci. Instrum. Method. Data Syst., 4, 197–202, https://doi.org/10.5194/gi-4-197-2015, https://doi.org/10.5194/gi-4-197-2015, 2015
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The monitoring and measurement of water flow in groundwater wells allows us to understand how aquifers transmit water. In this paper we develop a simple method, which we call T-POT, that allows flows to be estimated by tracking the movement of a small parcel of warmed water. The parcel is tracked using fibre optic temperature sensing - a technology that allows detailed measurements of temperature, and therefore flow using the T-POT method, to be made in the well.
K. E. R. Pramana, M. W. Ertsen, and N. C. van de Giesen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-12-9489-2015, https://doi.org/10.5194/hessd-12-9489-2015, 2015
Revised manuscript not accepted
J. Hoogeveen, J.-M. Faurès, L. Peiser, J. Burke, and N. van de Giesen
Hydrol. Earth Syst. Sci., 19, 3829–3844, https://doi.org/10.5194/hess-19-3829-2015, https://doi.org/10.5194/hess-19-3829-2015, 2015
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GlobWat is a freely distributed, global soil water balance model that is used by FAO to assess water use in irrigated agriculture, the main factor behind scarcity of freshwater in an increasing number of regions. The model is based on spatially distributed high-resolution data sets that are consistent at global level and is calibrated and validated against information published in global databases. The paper describes methodology, input and output data, calibration and validation of the model.
R. D. Stewart, Z. Liu, D. E. Rupp, C. W. Higgins, and J. S. Selker
Geosci. Instrum. Method. Data Syst., 4, 57–64, https://doi.org/10.5194/gi-4-57-2015, https://doi.org/10.5194/gi-4-57-2015, 2015
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We present a new instrument for measuring surface runoff rates ranging from very low (~0.05L min-1) to high (300L min-1, with much higher rates possible depending on the device configuration). The device is economical, simple, rugged, accurate and requires little maintenance (the system is self-emptying and contains no moving parts). We have successfully used this instrument in long-term monitoring studies and expect that it will appeal to other scientists studying runoff processes.
G. Bruni, R. Reinoso, N. C. van de Giesen, F. H. L. R. Clemens, and J. A. E. ten Veldhuis
Hydrol. Earth Syst. Sci., 19, 691–709, https://doi.org/10.5194/hess-19-691-2015, https://doi.org/10.5194/hess-19-691-2015, 2015
T. O'Donnell Meininger and J. S. Selker
Geosci. Instrum. Method. Data Syst., 4, 19–22, https://doi.org/10.5194/gi-4-19-2015, https://doi.org/10.5194/gi-4-19-2015, 2015
S. A. P. de Jong, J. D. Slingerland, and N. C. van de Giesen
Atmos. Meas. Tech., 8, 335–339, https://doi.org/10.5194/amt-8-335-2015, https://doi.org/10.5194/amt-8-335-2015, 2015
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By using two cylindrical thermometers with different diameters, one can determine what temperature a zero diameter thermometer would have. Such a virtual thermometer would not be affected by solar heating and would take on the temperature of the surrounding air. We applied this principle to atmospheric temperature measurements with fiber optic cables using distributed temperature sensing (DTS). With two unshielded cable pairs, one black pair and one white pair, good results were obtained.
T. H. M. van Emmerik, Z. Li, M. Sivapalan, S. Pande, J. Kandasamy, H. H. G. Savenije, A. Chanan, and S. Vigneswaran
Hydrol. Earth Syst. Sci., 18, 4239–4259, https://doi.org/10.5194/hess-18-4239-2014, https://doi.org/10.5194/hess-18-4239-2014, 2014
S. V. Weijs, N. van de Giesen, and M. B. Parlange
Hydrol. Earth Syst. Sci., 17, 3171–3187, https://doi.org/10.5194/hess-17-3171-2013, https://doi.org/10.5194/hess-17-3171-2013, 2013
O. A. C. Hoes, R. W. Hut, N. C. van de Giesen, and M. Boomgaard
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhessd-1-417-2013, https://doi.org/10.5194/nhessd-1-417-2013, 2013
Revised manuscript has not been submitted
Related subject area
Sensing
3D-printed Ag–AgCl electrodes for laboratory measurements of self-potential
Response time correction of slow-response sensor data by deconvolution of the growth-law equation
Magnetic interference mapping of four types of unmanned aircraft systems intended for aeromagnetic surveying
Using near-surface atmospheric measurements as a proxy for quantifying field-scale soil gas flux
A novel permanent gauge-cam station for surface-flow observations on the Tiber River
The surface temperatures of Earth: steps towards integrated understanding of variability and change
Thomas S. L. Rowan, Vilelmini A. Karantoni, Adrian P. Butler, and Matthew D. Jackson
Geosci. Instrum. Method. Data Syst., 12, 259–270, https://doi.org/10.5194/gi-12-259-2023, https://doi.org/10.5194/gi-12-259-2023, 2023
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This paper presents a design for a 3D-printed rechargeable electrode that measures self-potential (SP) in different types of laboratory experiments. It is small, cheap, robust, and stable, and it offers the same performance as custom-machined laboratory standards. The use of 3D printing technology makes the electrode more versatile and cost-effective than traditional laboratory standards. Examples of its use under both low and high pressure have been included, as have 3D-printable designs.
Knut Ola Dølven, Juha Vierinen, Roberto Grilli, Jack Triest, and Bénédicte Ferré
Geosci. Instrum. Method. Data Syst., 11, 293–306, https://doi.org/10.5194/gi-11-293-2022, https://doi.org/10.5194/gi-11-293-2022, 2022
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Sensors capable of measuring rapid fluctuations are important to improve our understanding of environmental processes. Many sensors are unable to do this, due to their reliance on the transfer of the measured property, for instance a gas, across a semi-permeable barrier. We have developed a mathematical tool which enables the retrieval of fast-response signals from sensors with this type of sensor design.
Loughlin E. Tuck, Claire Samson, Jeremy Laliberté, and Michael Cunningham
Geosci. Instrum. Method. Data Syst., 10, 101–112, https://doi.org/10.5194/gi-10-101-2021, https://doi.org/10.5194/gi-10-101-2021, 2021
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This paper presents a novel method for locating magnetic interference sources on unmanned aircraft systems (UAS) destined for aeromagnetic surveys. The technique is demonstrated in an indoor laboratory, whereas most magnetic mapping has previously been done outdoors, and is performed on four different types of UAS with their motors engaged. Sources are discussed on each UAS platform but can also be used as a point of reference for typical components that cause interference.
Andrew Barkwith, Stan E. Beaubien, Thomas Barlow, Karen Kirk, Thomas R. Lister, Maria C. Tartarello, and Helen Taylor-Curran
Geosci. Instrum. Method. Data Syst., 9, 483–490, https://doi.org/10.5194/gi-9-483-2020, https://doi.org/10.5194/gi-9-483-2020, 2020
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Soil gas flux describes the movement of various gases either to or from the ground. Identifying changes in soil gas flux can lead to a better understanding and detection of leakage from carbon capture and storage (CCS) schemes, diffuse degassing in volcanic and geothermal areas, and greenhouse gas emissions. Traditional chamber-based techniques may require weeks of fieldwork to assess a site. We present a new method to speed up the assessment of diffuse leakage.
Flavia Tauro, Andrea Petroselli, Maurizio Porfiri, Lorenzo Giandomenico, Guido Bernardi, Francesco Mele, Domenico Spina, and Salvatore Grimaldi
Geosci. Instrum. Method. Data Syst., 5, 241–251, https://doi.org/10.5194/gi-5-241-2016, https://doi.org/10.5194/gi-5-241-2016, 2016
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Flow monitoring of riverine environments is crucial for hydrology and hydraulic engineering practice. In this paper, we describe a novel permanent gauge-cam station for large-scale and continuous observation of surface flows, based on remote acquisition and calibration of video data. In a feasibility study, we demonstrate that accurate surface-flow velocity estimations can be obtained by analyzing experimental images via particle tracking velocimetry.
C. J. Merchant, S. Matthiesen, N. A. Rayner, J. J. Remedios, P. D. Jones, F. Olesen, B. Trewin, P. W. Thorne, R. Auchmann, G. K. Corlett, P. C. Guillevic, and G. C. Hulley
Geosci. Instrum. Method. Data Syst., 2, 305–321, https://doi.org/10.5194/gi-2-305-2013, https://doi.org/10.5194/gi-2-305-2013, 2013
Cited articles
Arnon, A., Selker, J., and Lensky, N.: Correcting artifacts in transition to a wound optic fiber: Example from high-resolution temperature profiling in the Dead Sea, Water Resour. Res., 50, 5329–5333, https://doi.org/10.1002/2013WR014910, 2014.
Briggs, M. A., Lautz, L. K., McKenzie, J. M., Gordon, R. P., and Hare, D. K.: Using high-resolution distributed temperature sensing to quantify spatial and temporal variability in vertical hyporheic flux, Water Resour. Res., 48, W02527, https://doi.org/10.1029/2011WR011227, 2012.
Ciocca, F., Lunati, I., Van de Giesen, N., and Parlange, M. B.: Heated optical fiber for distributed soil-moisture measurements: A lysimeter experiment, Vadose Zone J., 11, 9851, https://doi.org/10.2136/vzj2011.0199, 2012.
Corning ClearCurve Multimode Optical Fiber Product Information: https://www.corning.com/media/worldwide/coc/documents/Fiber/PI1468_07-14_English.pdf, last access: 2 November 2015.
De Jong, S. A. P., Slingerland, J. D., and van de Giesen, N. C.: Fiber optic distributed temperature sensing for the determination of air temperature, Atmos. Meas. Tech., 8, 335–339, https://doi.org/10.5194/amt-8-335-2015, 2015.
Euser, T., Luxemburg, W. M. J., Everson, C. S., Mengistu, M. G., Clulow, A. D., and Bastiaanssen, W. G. M.: A new method to measure Bowen ratios using high-resolution vertical dry and wet bulb temperature profiles, Hydrol. Earth Syst. Sci., 18, 2021–2032, https://doi.org/10.5194/hess-18-2021-2014, 2014.
Hausner, M., Suárez, F., Glander, K., Giesen, N., Selker, J., and Tyler, S.: Calibrating Single-Ended Fiber-Optic Raman Spectra Distributed Temperature Sensing Data, Sensors, 11, 10859–10879, 2011.
Hilgersom, K. P., Berghuijs, W. R., Solcerova, A., and Van Emmerik, T. H. M.: Thermal energy balance model of a fiber-optic cable; data from a shallow urban pond, Delft, https://doi.org/10.4121/uuid:a946eca5-0901-4a09-a95a-0c028a6b1853, 2015.
Jansen, J. H. A. M., Stive, P. M., Van de Giesen, N. C., Tyler, S. W., Steele-Dunne, S. C., and Williamson, L.: Estimating soil heat flux using Distributed Temperature Sensing, IAHS-AISH publication, 140–144, 2011.
Neilson, B. T., Hatch, C. E., Ban, H., and Tyler, S. W.: Solar radiative heating of fiber-optic cables used to monitor temperatures in water, Water Resour. Res., 46, W08540, https://doi.org/10.1029/2009WR008354, 2010.
O'Donnell Meininger, T. and Selker, J. S.: Bed conduction impact on fiber optic distributed temperature sensing water temperature measurements, Geosci. Instrum. Method. Data Syst., 4, 19–22, https://doi.org/10.5194/gi-4-19-2015, 2015.
Oldroyd, H. J., Higgins, C. W., Huwald, H., Selker, J. S., and Parlange, M. B.: Thermal diffusivity of seasonal snow determined from temperature profiles, Adv. Water Resour., 55, 121–130, https://doi.org/10.1016/j.advwatres.2012.06.011, 2013.
Sayde, C., Thomas, C. K., Wagner, J., and Selker, J.: High-resolution wind speed measurements using actively heated fiber optics, Geophys. Res. Lett., 42, 10064–10073, https://doi.org/10.1002/2015GL066729, 2015.
Sebok, E., Duque, C., Kazmierczak, J., Engesgaard, P., Nilsson, B., Karan, S., and Frandsen, M.: High-resolution distributed temperature sensing to detect seasonal groundwater discharge into Lake Væng, Denmark, Water Resour. Res., 49, 5355–5368, 2013.
Selker, J. S., Thevenaz, L., Huwald, H., Mallet, A., Luxemburg, W., Van de Giesen, N., Stejskal, M., Zeman, J., Westhoff, M., and Parlange, M. B.: Distributed fiber-optic temperature sensing for hydrologic systems, Water Resour. Res., 42, W12202, https://doi.org/10.1029/2006WR005326, 2006.
Steele-Dunne, S. C., Rutten, M. M., Krzeminska, D. M., Hausner, M., Tyler, S. W., Selker, J., Bogaard, T. A., and Van de Giesen, N. C.: Feasibility of soil moisture estimation using passive distributed temperature sensing, Water Resour. Res., 46, W03534, https://doi.org/10.1029/2009WR008272, 2010.
Suárez, F., Aravena, J. E., Hausner, M. B., Childress, A. E., and Tyler, S. W.: Assessment of a vertical high-resolution distributed-temperature-sensing system in a shallow thermohaline environment, Hydrol. Earth Syst. Sci., 15, 1081–1093, https://doi.org/10.5194/hess-15-1081-2011, 2011.
Thomas, C. K., Kennedy, A. M., Selker, J. S., Moretti, A., Schroth, M. H., Smoot, A. R., Tuffilaro, N. B., and Zeeman, M. J.: High-resolution fibre optic temperature sensing: A new tool to study the two-dimensional structure of atmospheric surface-layer flow, Bound.-Lay. Meteorol., 142, 177–192, 2012.
Tyler, S. W., Selker, J. S., Hausner, M. B., Hatch, C. E., Torgersen, T., Thodal, C. E., and Schladow, S. G.: Environmental temperature sensing using Raman spectra DTS fiber-optic methods, Water Resour. Res., 45, W00D23, https://doi.org/10.1029/2008WR007052, 2009.
Van de Giesen, N., Steele-Dunne, S. C., Jansen, J., Hoes, O., Hausner, M. B., Tyler, S., and Selker, J.: Double-Ended Calibration of Fiber-Optic Raman Spectra Distributed Temperature Sensing Data, Sensors, 12, 5471–5485, 2012.
Van Emmerik, T. H. M., Rimmer, A., Lechinsky, Y., Wenker, K. J. R., Nussboim, S., and Van de Giesen, N. C.: Measuring heat balance residual at lake surface using Distributed Temperature Sensing, Limnol. Oceanogr.-Meth., 11, 79–90, 2013.
Vercauteren, N., Bou-Zeid, E., Parlange, M. B., Lemmin, U., Huwald, H., Selker, J. S., and Meneveau, C.: Subgrid-Scale Dynamics of Water Vapor, Heat, and Momentum over a Lake, Bound.-Lay. Meteorol., 128, 205–228, 2008.
Vercauteren, N., Huwald, H., Bou-Zeid, E., Selker, J. S., Lemmin, U., Parlange, M. B., and Lunati, I.: Evolution of superficial lake water temperature profile under diurnal radiative forcing, Water Resour. Res., 47, W09522, https://doi.org/10.1029/2011WR010529, 2011.
Vogt, T., Schneider, P., Hahn-Woernle, L., and Cirpka, O. A.: Estimation of seepage rates in a losing stream by means of fiber-optic high-resolution vertical temperature profiling, J. Hydrol., 380, 154–164, 2010.
Vogt, T., Schirmer, M., and Cirpka, O. A.: Investigating riparian groundwater flow close to a losing river using diurnal temperature oscillations at high vertical resolution, Hydrol. Earth Syst. Sci., 16, 473–487, https://doi.org/10.5194/hess-16-473-2012, 2012.
Westhoff, M. C., Savenije, H. H. G., Luxemburg, W. M. J ., Stelling, G. S., van de Giesen, N. C., Selker, J. S., Pfister, L., and Uhlenbrook, S.: A distributed stream temperature model using high resolution temperature observations, Hydrol. Earth Syst. Sci., 11, 1469–1480, https://doi.org/10.5194/hess-11-1469-2007, 2007.
Westhoff, M. C., Gooseff, M. N., Bogaard, T. A., and Savenije, H. H. G.: Quantifying hyporheic exchange at high spatial resolution using natural temperature variations along a first-order stream, Water Resour. Res., 47, W10508, https://doi.org/10.1029/2010WR009767, 2011.
Short summary
Fibre optic distributed temperature sensing allows one to measure temperature patterns along a fibre optic cable with resolutions down to 25 cm. In geosciences, we sometimes wrap the cable to a coil to measure temperature at even smaller scales. We show that coils with narrow bends affect the measured temperatures. This also holds for the object to which the coil is attached, when heated by solar radiation. We therefore recommend the necessity to carefully design such distributed temperature probes.
Fibre optic distributed temperature sensing allows one to measure temperature patterns along a...
