Advertisement

Orthotidal signal in the electrical conductivity of an inland river

  • Andrei-Emil Briciu
  • Dumitru Mihăilă
  • Dinu Iulian Oprea
  • Petruț-Ionel Bistricean
  • Liliana Gina Lazurca
Article
  • 40 Downloads

Abstract

An orthotidal signal is a tidal component found in a streamwater parameter when there is no oceanic tidal input, i.e. when the streamwater monitoring point is located far inland and at high elevation. This study analyses various parameters of Cib River in Carpathian Mountains, Romania. This river receives water from a rich karst aquifer when crossing Cib Gorge. Streamwater level, temperature and electrical conductivity were measured in 270 days grouped in three time intervals of consecutive days. The measurements were done every 15 minutes in order to capture any significant periodic variation. The streamwater measurements were paired with air measurements and measurements done in a thermal spring. Solar semidiurnal oscillations were found in the streamwater electrical conductivity. In case study time series, selected based on their good signal to noise ratio, there are average semidiurnal oscillations of approximately 4 μS/cm, while the maximum amplitude rise up to 20 μS/cm. The semidiurnal peaks in water are generally in phase with the two atmospheric tide maxima, which are the cause of the studied phenomenon. The higher mineralisations of the thermal waters that rise from beneath the karst aquifer are the most probable cause of finding significant orthotides only in the electrical conductivity time series of the studied river.

Keywords

Orthotidal potamology Karst aquifer Thermal spring S2 Wavelet analysis 

Notes

Acknowledgements

This work was supported by a grant of the Romanian National Authority for Scientific Research and Innovation, CNCS – UEFISCDI, project number PN-II-RU-TE-2014-4-2900. Due to important field and laboratory work, Dumitru Mihăilă is to be considered, together with Andrei-Emil Briciu, as one of the principal authors.

Supplementary material

10661_2018_6676_MOESM1_ESM.docx (2.9 mb)
ESM 1 (DOCX 3008 kb)

References

  1. Acworth, R., Rau, G., McCallum, A., Andersen, M., & Cuthbert, M. (2015). Understanding connected surface water/groundwater systems using Fourier analysis of daily and sub-daily head fluctuations. Hydrogeology Journal, 23(1), 143–159.CrossRefGoogle Scholar
  2. Bredehoeft, J. D. (1967). Response of well-aquifer systems to Earth tides. Journal of Geophysical Research, 72, 3075–3087.CrossRefGoogle Scholar
  3. Briciu, A.-E. (2014). Wavelet analysis of lunar semidiurnal tidal influence on selected inland rivers across the globe. Scientific Reports, 4, 4193.CrossRefGoogle Scholar
  4. Briciu, A.-E. (2018). Diurnal, semidiurnal, and fortnightly tidal components in orthotidal proglacial rivers. Environmental Monitoring and Assessment, 190(160), 160.  https://doi.org/10.1007/s10661-018-6513-x.CrossRefGoogle Scholar
  5. Briciu, A.-E., Mihăilă, D., Oprea-Gancevici, D. I., & Bistricean, P. I. (2017). Some aspects regarding the thermal water temperature of some sites in Baile Felix, Geoagiu-Bai and Harsova areas, Romania. SGEM2017 Conference Proceedings, 17(31), 601–608.  https://doi.org/10.5593/SGEM2017/31/S12.075.Google Scholar
  6. Burbey, T. J. (2009). Fracture characterization using Earth tide analysis. Journal of Hydrology, 380, 237–246.CrossRefGoogle Scholar
  7. Callede, J. (1977). Oscillations journalières du débit des rivières en l’absence de precipitations. Cahier ORSTOM, série Hydrologie, 14, 219–283.Google Scholar
  8. Chapman, S., & Lindzen, R. S. (1970). Atmospheric tides. Norwell, Mass: D. Reidel.Google Scholar
  9. Domenico, P. A., & Schwartz, F. W. (1998). Physical and chemical hydrogeology. New York: Wiley.Google Scholar
  10. Gribovszki, Z., Szilágyi, J., & Kalicz, P. (2010). Diurnal fluctuations in shallow groundwater levels and streamflow rates and their interpretation—a review. Journal of Hydrology, 385, 371–383.CrossRefGoogle Scholar
  11. 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, 11, 561–566.CrossRefGoogle Scholar
  12. Ingebritsen, S., Sanford, W., & Neuzil, C. (2006). Groundwater in geologic processes. Cambridge: Cambridge University Press.Google Scholar
  13. Jasonsmith, J. F., Macdonald, B. C. T., & White, I. (2017). Earth-tide-induced fluctuations in the salinity of an inland river, New South Wales, Australia: a short-term study. Environmental Monitoring and Assessment, 189(4), 188.  https://doi.org/10.1007/s10661-017-5880-z.CrossRefGoogle Scholar
  14. Johnson, B., Malama, B., Barrash, W., & Flores, A. N. (2013). Recognizing and modeling variable drawdown due to evapotranspiration in a semiarid riparian zone considering local differences in vegetation and distance from a river source. Water Resources Research, 49, 030–1039.Google Scholar
  15. Kulessa, B., Hubbard, B., Brown, G. H., & Becker, J. (2003). Earth tide forcing of glacier drainage. Geophysical Research Letters, 30(1), 1011.CrossRefGoogle Scholar
  16. Labat, D. (2005). Recent advances in wavelet analyses: Part 1. A review of concepts. Journal of Hydrology, 314, 275–288.CrossRefGoogle Scholar
  17. Lundquist, J. D., & Cayan, D. R. (2002). Seasonal and spatial patterns in diurnal cycles in streamflow in the western United States. Journal of Hydrometeorology, 3, 591–1603.CrossRefGoogle Scholar
  18. Mantea, G., & Tomescu, C. (1986). Structura geologica a ariei centrale a Muntilor Metaliferi, zona Balșa-Ardeu-Cib (Geological structure of the central area of the Metaliferi Mountains, Balșa-Ardeu-Cib zone). Dări de Seamă ale Institutului de Geologie și Geofizică, 70-71(5), 129–148.Google Scholar
  19. Merritt, M. L. (2004). Estimating hydraulic properties of the Floridan aquifer system by analysis of earth-tide, ocean-tide, and barometric effects, Collier and Hendry Counties, Florida. US Geological Survey Water Resources, 03–4267, 1–70.Google Scholar
  20. Ng, E. K. W., & Chan, J. C. L. (2012). Geophysical applications of partial wavelet coherence and multiple wavelet coherence. Journal of Atmospheric and Oceanic Technology, 29, 1845–1853.CrossRefGoogle Scholar
  21. Orășeanu, I. (2016). Hidrogeologia carstului din Munții Apuseni (Karst hydrogeology of Apuseni Mountains). Oradea: Belvedere Press.Google Scholar
  22. Pawlowicz, R., Beardsley, B., & Lentz, S. (2002). Classical tidal harmonic analysis including error estimates in MATLAB using T_TIDE. Computers and Geosciences, 28, 929–937.CrossRefGoogle Scholar
  23. Robinson, T. W. (1939). Earth tides shown by fluctuations of water levels in wells in New Mexico and Iowa. Transactions American Geophysical Union, 20, 656–666.CrossRefGoogle Scholar
  24. Rojstaczer, S., & Riley, F. S. (1990). Response of the water level in a well to earth tides and atmospheric loading under unconfined conditions. Water Resources Research, 26(8), 1803–1817.CrossRefGoogle Scholar
  25. Torrence, C., & Compo, G. P. (1998). A practical guide to wavelet analysis. Bulletin of the American Meteorological Society, 79, 61–78.CrossRefGoogle Scholar
  26. Wesseling, J. (1959). Transmission of tidal waves in elastic artesian basins. Netherlands Journal of Agricultural Science, 7, 22–32.Google Scholar
  27. White, W.N. (1932). A method of estimating ground-water supplies based on discharge by plants and evaporation from soil: results of investigations in Escalante Valley. US Geological Survey Water Supplementary Paper, 659-A.Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of GeographyȘtefan cel Mare UniversitySuceavaRomania

Personalised recommendations