Skip to main content
SpringerLink
Log in

Wavelet relationship between climate variability and deep groundwater fluctuation in Thailand’s Central Plains

  • Water Resources and Hydrologic Engineering
  • Published:
KSCE Journal of Civil Engineering Aims and scope

Abstract

Groundwater is constantly under direct and indirect pressures from the anthropogenic effects, long-term climate change, and climate variability. This research investigates the association, in the time-frequency domain, between the groundwater fluctuations in Thailand’s Lower Chao Phraya Basin and specific climate variability forces: the El Nino/Southern Oscillation (ENSO), the Indian Ocean Dipole (IOD), and the Asian Summer Monsoons (ASM). The analysis was carried out using the wavelet method and the findings presented in the form of the complete, global, and local wavelet spectrums. In addition, the Pearson correlation was utilized to establish the linkages between the groundwater and the climate variability forces. The results indicated that the deep groundwater signals of the Lower Chao Phraya Basin were linked to the ENSO, IOD and ASM with the absolute correlation coefficients in excess of 0.5. Moreover, the recent climatic indices exerted greater influence on the groundwater than in the past, given the former’s correlation coefficients of 0.9 on average. By comparison, the deep groundwater was strongly associated with the recent ENSO and ASM but weakly linked to the IOD, with the absolute coefficients of around 0.5. The findings revealed the resilience of the deep groundwater under such high frequency signal conditions as the seasonal and tidal oscillations. Moreover, the results showed that the groundwater could be an alternative source of water supply during periods of droughts in the region.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Alley, W. M., Healy, R. W., LaBaugh, J. W., and Reilly, T. E. (2002). “Flow and storage in groundwater systems.” Science, Vol. 296, No. 5575, pp. 1985–1990, DOI: 10.1126/science.1067123.

    Article  Google Scholar 

  • Ashok, K., Guan, Z., and Yamagata, T. (2003). “A look at the relationship between the ENSO and the Indian Ocean Dipole.” Journal of Meteorological Society of Japan, Vol. 81, No. 1, pp. 41–56, DOI: 10.2151/jmsj.81.41

    Article  Google Scholar 

  • Cayan, D. R. and Webb, R. H. (1992). “El Nino/Southern Oscillation and streamflow in the western United States.” In: Diaz HF and Markgraf V (Eds) El Nino: historical and paleoclimatic aspects of the southern Oscillation, Cambridge University Press, UK., pp. 29–68, DOI: 10.1175/1520-0442(1999)012<2881: EAHEIT>2.0.CO;2.

    Google Scholar 

  • Djamaluddin, T. (2003). “Solar variability as an input to the Earth’s environment.” Proceedings of International Solar Cycle Studies (ISCS), Wilson, A. (Eds), ESA SP-535, ESA Publications Division, DOI: 1O.1029/2002JA009343

    Google Scholar 

  • Fye, F. K., Stahle, D. W., Cook, E. R., and Cleaveland, M. K. (2006). “NAO influence on sub-decadal moisture variability over central North America.” Geophysical Research Letters, Vol. 33, No. 15, DOI: 10.1029/2006GL026656.

    Google Scholar 

  • Gurdak, J. J., Randall, T. H., McMahon, P. B., Bruce, B. W., McCray, J. E., Thyne, G. D., Thyne, G. D., and Reedy, R. C. (2007). “Climate variability controls on unsaturated water and chemical movement, High Plains Aquifers, USA.” Vadose Zone Journal, Vol. 6, No. 3, pp. 533–547, DOI: 10.2136/vzj2006.0087.

    Article  Google Scholar 

  • Gurdak, J. J. and Hanson, R. T. (2005). Correlation of climate variability with water quality in the High Plains aquifer, American Geophysical Union, Fall Meeting 2005, abstract #H31B-1303.

    Google Scholar 

  • Hammer, O. and Harper, D. A. T. (2006). Paleontological Data Analysis, Wiley-Blackwell, MA, USA, DOI: 10.1002/9780470750711.

    Google Scholar 

  • Hanson, R. T., Dettinger, M. D., and Newhouse, M. W. (2006). “Relations between climatic variability and hydrologic time series from four alluvial basins across the southwestern United States.” Hydrogeology Journal, Vol. 14, No. 7, pp. 1122–1146, DOI: 10.1007/s10040-006-0067-7.

    Article  Google Scholar 

  • Holman, I. P., Rivas-Casado, M., Bloomfield, J. P., and Gurdak, J. J. (2011). “Identifying non-stationary groundwater level response to North Atlantic ocean-atmosphere teleconnection patterns using wavelet coherence.” Hydrogeology Journal, Vol. 19, No. 6, pp. 1269–1278, DOI: 10.1007/s10040-011-0755-9.

    Article  Google Scholar 

  • Kerr, R. A. (2000). “A north Atlantic climate pacemaker for the centuries.” Science, Vol. 288, No. 5473, pp. 1984–1986, DOI: 10.1126/science. 288.5473.1984.

    Article  Google Scholar 

  • Kestin, T. S., Karoly, D. J., Yano, I., and Rayner, N. A. (1998). “Timefrequency variability of ENSO and stochastic simulations.” Journal of Climate, Vol. 11, No. 9, pp. 2258–2272, DOI: 10.1175/1520-0442(1998).

    Article  Google Scholar 

  • Kusreesakul, K. (2009). Spatio-temporal Rainfall Changes in Thailand and Their Connection with Regional and Global Climate Variability, Master These, Prince Songkhla University.

    Google Scholar 

  • Limsakul, A., Limjirakan, S., and Suttamanuswong, B. (2010). “Asian summer monsoon and its associated rainfall variability in Thailand.” Environment Asia, Vol. 3, No. 2, pp. 85–95, DOI: 10.14456/ea.2010.27.

    Google Scholar 

  • Nakamura, N., Kayanne, H., Iijima, H., McClanahan, T. R., Behera, S., and Yamagata, T. (2009). “Mode shift in the Indian Ocean climate under global warming stress.” Geophysical Research Letters, Vol. 36, No. 23, L23503, DOI: 10.1029/2009GL040590.

    Article  Google Scholar 

  • Nugroho, J. T. (2007). “Appearance of solar activity signals in Indian Ocean Dipole (IOD) phenomena and monsoon climate pattern over Indonesia.” Bulletin of the Astronomical Society of India, Vol. 35, No. 1, pp. 575–579.

    Google Scholar 

  • Mantua, N. J. and Hare, S. R. (2002). “The Pacific decadal oscillation.” Journal of Oceanography, Vol. 58, No. 1, pp. 35–44, DOI: 10.1023/A:1015820616384.

    Article  Google Scholar 

  • McCabe, G. J., Palecki, M. A., and Betancourt, J. I. (2004). “Pacific and Atlantic Ocean influences on multidecadal drought frequency in the United States.” Proceedings of the National Academy of Sciences, Vol. 101, No. 12, pp. 4136–4141, DOI: 10.1073/pnas.0306738101.

    Article  Google Scholar 

  • Miller, N. L., Dale, L. L., Brush, C. F., Vicuna, S. D., Kadir, T. N., Dogrul, E. C., and Chung, F. I. (2009). “Drought resilience of the California Central Valley surface-groundwater conveyance system.” Journal of the American Water Resources Association, Vol. 45, No. 4, pp. 857–866, DOI: 10.1111/j.1752-1688.2009.00329.x.

    Article  Google Scholar 

  • Minobe, S. (1997). “A 50-70 year climatic oscillation over the North Pacific and North America.” Geophysical Research Letters, Vol. 24, No. 6, pp. 683–686, DOI: 10.1029/97GL00504.

    Article  Google Scholar 

  • Moortel, I., Munday, S. A., and Hood, A. W. (2004). “Wavelet analysis: The effect of varying basic wavelet parameters.” Solar Physics, Vol. 222, No. 2, pp. 203–228, DOI: 10.1023/B:SOLA. 0000043578.01201.2d.

    Article  Google Scholar 

  • Ozcep, F., Yildirim, E., Tezel, O., Asci, M., and Karabulut, S. (2010). “Correlation between electrical resistivity and soil-water content based artificial intelligent techniques.” International journal of physical sciences, Vol. 5, No. 1, pp. 47–56.

    Google Scholar 

  • Percival, D. B. and Walden, A. T. (2006). Wavelet methods for time series analysis (Cambridge Series in Statistical and Probabilistic Mathematics), Cambridge University Press, Cambridge, DOI: 10.1017/CBO9780511841040.

    MATH  Google Scholar 

  • Philander, S. G. H. (1990). El Nino, La Nina and the Southern Oscillation, Academic Press, San Diego, DOI: 10.1126/science.248.4957.904.

    Google Scholar 

  • Santos, C. A. G., Galvao, C. O., Suzuki, K., and Trigo, R. M. (2001). “Matsuyama city rainfall data analysis using wavelet transform.” Annual Journal of Hydraulic Engineering, Vol. 45, pp. 211–216, DOI: 10.2208/prohe.45.211.

    Article  Google Scholar 

  • Seeboonruang, U. (2014). “An empirical decomposition of deep groundwater time series and possible link to climate variability.” Global NEST Journal, Vol. 16, No. 1, pp. 87–103.

    Google Scholar 

  • Seeboonruang, U. (2012). “A statistical assessment of the impact of land uses on surface water quality indexes.” Journal of Environmental Management, Vol. 101, No. 1, pp. 134–142, DOI: 10.1016/j.jenvman. 2011.10.019.

    Article  Google Scholar 

  • Taylor, I. H., Burke, E., McColl, L., Falloon, P. D., Harris, G. R., and McNeall, D. (2013). “The impact of climate mitigation on projections of future drought.” Hydrology and Earth System Sciences, Vol. 17, No. 6, pp. 2339–2358. DOI: 10.5194/hess-17-2339-2013.

    Article  Google Scholar 

  • Torrence, C. and Compo, P. G. (1998). “A practical guide to wavelet analysis.” Bulletin of the American Meteorological Society, Vol. 79, No. 1, pp. 61–78, DOI: 10.1175/1520-0477(1998).

    Article  Google Scholar 

  • Winter, T. C., Mallory, S. E., Allen, T. R., and Rosenberry, D. O. (2000). “The use of principal component analysis for interpreting groundwater hydrographs.” Groundwater, Vol. 38, No. 2, pp. 234–246, DOI: 10.1111/j.1745-6584.2000.tb00335.x.

    Article  Google Scholar 

  • Wang, B., Wu, R., and Lau, K. M. (2001). “Interannual variability of Asian summer monsoon: Contrast between the Indian and western North Pacific-East Asian monsoons.” Journal of Climate, Vol. 14, No. 1, pp. 4073–4090, DOI: 10.1175/1520-0442(2001).

    Article  Google Scholar 

  • Zeitoun, D. G. and Wakshal, E. (2013). “Land subsidence analysis in urban areas: The bangkok metropolitan area case study.” Springer Environmental Science and Engineering, Dordrecht, DOI: 10.1007/978-94-007-5506-2.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Dept. of Civil Engineering, Faculty of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Chalongkrung Rd., Bangkok, 10520, Thailand

    Uma Seeboonruang

Authors
  1. Uma Seeboonruang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Uma Seeboonruang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Seeboonruang, U. Wavelet relationship between climate variability and deep groundwater fluctuation in Thailand’s Central Plains. KSCE J Civ Eng 22, 868–876 (2018). https://doi.org/10.1007/s12205-017-1597-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12205-017-1597-3

Keywords

Search

Navigation