Have a personal or library account? Click to login
The Wavelets show it – the transit time of water varies in time Cover

The Wavelets show it – the transit time of water varies in time

Open Access
|Aug 2018

References

  1. Benettin, P., Bailey, S.W., Campbell, J.L., Green, M.B., Rinaldo, A., Likens, G.E., McGuire, K.J., Botter, G., 2015a. Linking water age and solute dynamics in stream- flow at the Hubbard Brook Experimental Forest, NH, USA. Water Resources Research, 5111, 9256-9272. http://doi.org/10.1002/2015WR01755210.1002/2015WR017552
  2. Benettin, P., Kirchner, J.W., Rinaldo, A., Botter, G., 2015b. Modeling chloride transport using travel time distributions at Plynlimon, Wales. Water Resources Research, 515, 3259-3276. http://doi.org/10.1002/2014WR01660010.1002/2014WR016600
  3. Botter, G., Bertuzzo, E., Rinaldo, A., 2011. Catchment residence and travel time distributions: The master equation. Geophysical Research Letters, 3811. http://doi.org/10.1029/2011GL04766610.1029/2011GL047666
  4. Davies, J., Beven, K., Rodhe, A., Nyberg, L., Bishop, K., 2013. Integrated modeling of flow and residence times at the catchment scale with multiple interacting pathways. Water Resour. Res., 49, 4738-4750. http://doi.org/10.1002/wrcr.2037710.1002/wrcr.20377
  5. Duffy, C.J., Gelhar, L.W., 1985. Frequency domain approach to water quality modeling in groundwater: theory. Water Resources Research, 21, 1175-1184.10.1029/WR021i008p01175
  6. Dunn, S.M., McDonnell, J.J., Vaché, K.B., 2007. Factors influencing the residence time of catchment waters: A virtual experiment approach. Water Resources Research, 43, W06408. DOI: 10.1029/2006WR005393.10.1029/2006WR005393
  7. Farge, M., 1992. Wavelet transforms and their applications to turbulence. Annu. Rev. Fluid Mech., 24, 395-457.10.1146/annurev.fl.24.010192.002143
  8. Gomez, J.D., Wilson, J.L., 2013. Age distributions and dynamically changing hydrologic systems: Exploring topographydriven flow. Water Resour. Res., 49, 1503-1522. DOI: 10.1002/wrcr.20127.10.1002/wrcr.20127
  9. Grinsted, A., Moore, J.C., Jevrejeva, S., 2004. Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlinear Processes in Geophysics, European Geosciences Union EGU, 11 5/6, 561-566.10.5194/npg-11-561-2004
  10. Harman, C.J., 2015. Time-variable transit time distributions and transport: Theory and application to storage-dependent transport of chloride in a watershed. Water Resour. Res., 51, 1, 1-30. DOI: 10.1002/2014WR015707.10.1002/2014WR015707
  11. Harman, C., Kim, M., 2014. An efficient tracer test for timevariable transit time distributions in periodic hydrodynamic systems. Geophysical Research Letters, 415, 1567-1575. http://doi.org/10.1002/2013GL05898010.1002/2013GL058980
  12. Heidbüchel, I., Troch, P.A., Lyon, S.W., Weiler, M., 2012. The master transit time distribution of variable flow systems. Water Resour. Res., 48, W06520. DOI: 10.1029/2011WR011293.10.1029/2011WR011293
  13. Hrachowitz, M., Soulsby, C., Tetzlaff, D., Dawson, J.J.C., Dunn, 2009. Using long-term data sets to understand transit times in contrasting headwater catchments. Journal of Hydrology, 367, 3, 237-248.10.1016/j.jhydrol.2009.01.001
  14. Hrachowitz, M., Soulsby, C., Tetzlaff, D., Speed, M., 2010. Catchment transit times and landscape controls - does scale matter? Hydrological Processes, 24, 117-125.10.1002/hyp.7510
  15. Hrachowitz, M., Fovet, O., Ruiz, L., Savenije, H.H.G., 2015. Transit time distributions, legacy contamination and variability in biogeochemical 1/f scaling: how are hydrological response dynamics linked to water quality at the catchment scale? Hydrological Processes, 29, 25, 5241-5256. http://doi.org/10.1002/hyp.1054610.1002/hyp.10546
  16. Kirchner, J.W., Feng, X., Neal, C., 2000. Fractal stream and its implications for contaminant transport in catchments. Nature, 403, 524-527.10.1038/35000537
  17. Kirchner, J.W., Feng, X., Neal, C., 2001. Catchment-scale advection and dispersion as a mechanism for fractal scaling in stream tracer concentrations. Journal of Hydrology, 254, 82-101.10.1016/S0022-1694(01)00487-5
  18. Kirchner, J.W., 2016. Aggregation in environmental systems - Part 1: Seasonal tracer cycles quantify young water fractions, but not mean transit times, in spatially heterogeneous catchments. Hydrol. Earth Syst. Sci., 20, 279-297.10.5194/hess-20-279-2016
  19. Klaus, J., Chun, K.P., McGuire, K.J., McDonnell, J.J., 2015. Temporal dynamics of catchment transit times from stable isotope data. Water Resources Research, 516, 4208-4223. http://doi.org/10.1002/2014WR01624710.1002/2014WR016247
  20. Maloszewski, P., Zuber, A., 1983. Interpretation of artificial and environmental tracers in fissured rocks with a porous matrix, Report No. 1221/AP, Inst. Nucl. Phys., Krakow, Poland.
  21. McDonnell, J. J., McGuire, K., Aggarwal, P., Beven, K. J., Biondi, D., Destouni, G., Dunn, S., James, A., Kirchner, J., Kraft, P., Lyon, S., Maloszewski, P., Newman, B., Pfister, L., Rinaldo, A., Rodhe, A., Sayama, T., Seibert, J., Solomon, K., Soulsby, C., Stewart, M., Tetzlaff, D., Tobin, C., Troch, P., Weiler, M., Western, A., Worman, A., Wrede, S. 2010. How old is streamwater?: Open questions in catchment transit time conceptualization, modelling and analysis. Hydrological Processes, 24, 12, 1745-1754.10.1002/hyp.7796
  22. McGuire, K.J., McDonnell, J.J., 2006. A review and evaluation of catchment transit time modeling. Journal of Hydrology, 330, 543-563.10.1016/j.jhydrol.2006.04.020
  23. McGuire, K.J., DeWalle, D.R., Gburek, W.J., 2002. Evaluation of mean residence time in subsurface waters using oxygen- 18 fluctuations during drought conditions in the mid- Appalachians. Journal of Hydrology, 261, 132-149.10.1016/S0022-1694(02)00006-9
  24. McGuire, K.J., McDonnell, J.J., Weiler, M., Kendall, C., McGlynn, B.L., Welker, J.M., Seibert, J., 2005. The role of topography on catchment-scale water residence time. Water Resources Research, 41, 5. DOI: 10.1029/2004WR003657.10.1029/2004WR003657
  25. McMillan, H., Tetzlaff, D., Clark, M., Soulsby, C., 2012. Do time-variable tracers aid the evaluation of hydrological model structure? A multi model approach. Water Resources Research, 485. http://doi.org/10.1029/2011WR01168810.1029/2011WR011688
  26. Neal, C., 1997. A view of water quality from the Plynlimon watershed. Hydrology and Earth Systems Sciences, 13, 743-753.10.5194/hess-1-743-1997
  27. Neal, C., Reynolds, B., Norris, D., Kirchner, J.W., Neal, M., Rowland, P., Wickham, H., Harman, S., Armstrong, L., Sleep, D., Lawlor, A., Woods, C., Williams, B., Fry, M., Newton, G., Wright, D., 2011. Three decades of water quality measurements from the Upper Severn experimental catchments at Plynlimon, Wales: an openly accessible data resource for research, modelling, environmental management and education. Hydrological Processes, 25, 3818-3830. DOI: 10.1002/hyp.8191.10.1002/hyp.8191
  28. Neal, C., Kirchner, J., Reynolds, B., 2013. Plynlimon research catchment hydrochemistry. NERC Environmental Information Data Centre 10.5285/44095e17-43b0-45d4-a781- aab4f72da025
  29. Onderka, M., Wrede, S., Rodný, M., Pfister, L., Hoffmann, L., Krein, A., 2012. Hydrogeologic and landscape controls of dissolved inorganic nitrogen DIN and dissolved silica DSi fluxes in heterogeneous catchments. Journal of Hydrology, 450-451, 36-47.10.1016/j.jhydrol.2012.05.035
  30. Onderka, M., Banzhaf, S., Scheytt, T.J., Krein, A., 2013. Seepage velocities derived from thermal records using wavelet analysis. Journal of Hydrology, 479, 64-7410.1016/j.jhydrol.2012.11.022
  31. Soulsby, C., Birkel, C., Tetzlaff, D., 2014. Assessing urbanization impacts on catchment transit times. Geophysical Research Letters, 412, 442-448. http://doi.org/10.1002/2013GL05871610.1002/2013GL058716
  32. Soulsby, C., Birkel, C., Geris, J., Dick, J., Tunaley, C., Tetzlaff, D., 2015. Stream water age distributions controlled by storage dynamics and nonlinear hydrologic connectivity: Modeling with high-resolution isotope data. Water Resources Research, 519, 7759-7776. http://doi.org/10.1002/2015WR01788810.1002/2015WR017888494955027478255
  33. Tekleab, S., Wenninger, J., Uhlenbrook, S., 2014. Characterisation of stable isotopes to identify residence times and runoff components in two meso-scale catchments in the Abay/Upper Blue Nile basin, Ethiopia. Hydrol. Earth Syst. Sci., 18, 2415-2431.10.5194/hess-18-2415-2014
  34. Torrence, C., Compo, G.P., 1998. A Practical Guide to Wavelet Analysis. Bull. Amer. Meteor. Soc., 79, pp. 61-78. van der Velde, Y., Torfs, P.J.J.F., van der Zee, S.E.A.T.M., Uijlenhoet, R., 2012. Quantifying catchment-scale mixing and its effect on time-varying travel time distributions. Water Resources Research, 48, 6. DOI: 10.1029/2011WR011310. van der Velde, Y., Heidbüchel, I., Lyon, S.W., Nyberg, L., Rodhe, A., Bishop, K., Troch, P.A., 2015. Consequences of mixing assumptions for time-variable travel time distributions. Hydrological Processes, 29, 16, 3460-3474. http://doi.org/10.1002/hyp.1037210.1029/2011WR011310..........2015.-.29163460-3474.http://doi.org/10.1002/hyp.10372
  35. Weigand, S., Bol, R., Reichert, B., Graf, A., Wiekenkamp, I., Stockinger, M., Luecke, A., Tappe, W., Bogena, H., Puetz, P., Amelung, W., Vereecken, H., 2017. Spatiotemporal analysis of dissolved organic carbon and nitrate in waters of a forested catchment using wavelet analysis. Vadose Zone Journal. DOI: 10.2136/vzj2016.09.0077.10.2136/vzj2016.09.0077
  36. White, R.E., 1987. A transfer function model for the prediction of nitrate leaching under field conditions. Journal of Hydrology, 92, 207-222.10.1016/0022-1694(87)90014-X
DOI: https://doi.org/10.2478/johh-2018-0001 | Journal eISSN: 1338-4333 | Journal ISSN: 0042-790X
Language: English
Page range: 295 - 302
Submitted on: May 19, 2017
|
Accepted on: Sep 26, 2017
|
Published on: Aug 14, 2018
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2018 Milan Onderka, Vladimír Chudoba, published by Slovak Academy of Sciences, Institute of Hydrology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.