gwat12298-sup-0001-AppendixS1

advertisement
Supporting Information
Appendix S1
Fiber-optic Distributed Temperature Sensing (DTS) has been widely applied in
various hydrologic fields to measure the thermal variations of streams (Selker et al.
2006b; Westhoff et al. 2007; Briggs et al. 2011; Krause et al. 2012; Henderson et al.
2009; Vogt et al. 2010), wetlands (Lowry et al. 2007), saltmarsh channels (Moffett et
al. 2008), soils (Steele-Dunne et al. 2010; Sayde et al. 2010; Selker et al. 2010), and
lakes (Selker et al. 2006a, Suarez et al. 2011, Sebok et al. 2013).
Figure S1. DTS measured streambed temperature distribution over a 500m river
channel in the Heihe River Basin (inset). At most locations (horizontal axis), the
temperature fluctuated throughout the day and night with the air temperature (vertical
axis). However, about 50m and 150m from the start of the measurement point, stream
water showed consistently low temperature, indicating discharge of colder
groundwater into warmer stream water (after Huang et al. 2012).
References
Briggs, M. A., L. K. Lautz, and J. M. McKenzie. 2011. A comparison of fibre-optic
distributed temperature sensing to traditional methods of evaluating groundwater
inflow to streams, Hydrol. Processes, 25, 1277–1290, doi:10.1002/hyp.8200.
Buck, C. R. and S. E. Null. 2013. Modeling insights from distributed temperature
sensing data, Hydrol. Earth Syst. Sci. Discuss., 10, 9999-10034,
doi:10.5194/hessd-10-9999-2013.
Henderson, R. D., F. D. Day-Lewis, C. F. Harvey. 2009. Investigation of
aquifer-estuary interaction using wavelet analysis of fiber-optic temperature data.
Geophys. Res. Lett., 36(6).
Huang, L., C. Zheng, J. Liu, and H. Xiao. 2012. Application of distributed
temperature sensing to study groundwater-surface water interactions in the Heihe
river basin. Hydrogeology and Engineering Geology, 39(2) (in Chinese).
Krause, S., T. Blume, and N. J. Cassidy. 2012. Investigating patterns and controls of
groundwater up-welling in a lowland river by combining fiber-optic Distributed
Temperature Sensing with observations of vertical hydraulic gradients, Hydrol.
Earth Syst. Sci., 16, 1775–1792, doi:10.5194/hess-16–1775-2012.
Lowry, C. S., J. F.Walker, R. J. Hunt, and M. P. Anderson. 2007. Identifying spatial
variability of groundwater discharge in a wetland stream using a distributed
temperature sensor, Water Resour. Res., 43, W10408,
doi:10.1029/2007WR006145.
Moffett, K. B., S. W. Tyler, T. Torgersen, M. Menon, J. S. Selker, and S.M. Gorelick.
2008. Processes controlling the thermal regime of saltmarsh channel beds,
Environ. Sci. Technol., 42(3), 671–676.
Sayde, C., C. Gregory, M. Gil‐Rodriguez, N. Tufillaro, S. Tyler, N. van de Giesen, M.
English, R. Cuenca, and J. S. Selker. 2010. Feasibility of soil moisture monitoring
with heated fiber optics, Water Resour. Res., 46, W06201,
doi:10.1029/2009WR007846.
Sebok E, C. Duque, J. Kazmierczak, P. Engesgaard, B. Nilsson, S. Karan, and M.
Frandsen. 2013. High-resolution distributed temperature sensing to detect seasonal
groundwater discharge into Lake Væng, Denmark. Water Resour. Res., 49(6).
doi:10.1002/wrcr.20436.
Selker J, J. Thévenaz, H. Huwald, A. Mallet, W. Luxemburg, N. Giesen, M. Stejskal, J.
Zeman, M. Westhoff, M. Parlange. 2006a. Distributed fiber‐optic temperature
sensing for hydrologic systems. Water Resour. Res., 42(12). doi:
10.1029/2006WR005326.
Selker J, N. Giesen, M. Westhoff, W. Luxemburg, M. Parlange. 2006b. Fiber optics
opens window on stream dynamics. Geophys. Res. Lett., 33, L24401,
doi:10.1029/2006GL027979.
Selker, T. A. Bogaard, and N. C. van de Giesen. 2010. Feasibility of soil moisture
estimation using passive distributed temperature sensing, Water Resour. Res., 46,
W03534, doi:10.1029/2009WR008272.
Steele-Dunne, S. C., Rutten, M. M., Krzeminska, D. M., Hausner, M., Tyler, S. W.,
Selker, J., Bogaard, T. A., and N. C. V. de Giesen, 2010. Feasibility of soil
moisture estimation using passive distributed temperature sensing, Water Resour.
Res., 46, W03534, doi:10.1029/2009WR008272.
Suarez, F., J. E. Aravena, M. B. Hausner, A. E. Childress, and S. W. Tyler, 2011.
Assessment of a vertical high-resolution distributed-temperature-sensing system
in a shallow thermohaline environment, Hydrol. Earth Syst. Sci., 15, 1081-1093,
doi:10.5194/hess-15-1081-2011.
Vogt, T, P. Schneider, L. Hahn-Woernle, O.A. Cirpkab. 2010. Estimation of seepage
rates in a losing stream by means of fiber-optic high-resolution vertical
temperature profiling. J. Hydrol., 380(1-2): 154-164.
Westhoff, M. C., H. H. G. Savenije, W. M. J. Luxemburg, G. S. Stelling, N.C. van
Giesen, J. S. Selker, L. Pfister, and S. Uhlenbrook. 2007. A distributed stream
temperature model using high resolution temperature observations, Hydrol. Earth
Syst. Sci., 11, 1469–1480. doi:10.5194/hess-11-1469-2007.
Download