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Statistical Analysis of Groundwater Level Variation in Semi-arid Upper Godavari Basin

  • Pallavi Kulkarni
  • Sudhakar PardeshiEmail author
  • Suchitra Pardeshi
Chapter
Part of the Advances in Science, Technology & Innovation book series (ASTI)

Abstract

Groundwater supports the economy of semi-arid parts of India during the non-monsoon season. However, in the era of climate change and increased water demand, the groundwater supply is at risk. In the current study, the variation in the groundwater levels in the semi-arid upper Godavari basin is examined for pre- and post-monsoon seasons using the Mann-Kendall trend test. The trend in the difference between the groundwater levels during these seasons is also analyzed. Breaks in the groundwater level time series in both seasons are identified using the Pettitt test. The study revealed that, the groundwater levels are mostly increasing in the post-monsoon season. However, more than 60% of wells depict the declining trend of groundwater level in the pre-monsoon season. The gap between the groundwater levels measured during the pre- and post-monsoon seasons is widening throughout the upper Godavari basin. Though the breaks in the pre- and post-monsoon groundwater levels coincide with the major drought year, the negative change in the mean value after the break year cannot be attributed only to climatic variation. Hence, the current study highlights the immediate need for water conservation and water demand management, in the upper Godavari basin.

Keywords

Groundwater level Mann-Kendall trend test Pettitt test Semi-arid upper Godavari basin 

References

  1. 1.
    Fishman, R., Siegfried, T., Raj, P., Modi, V., Lall, U.: Over-extraction from shallow bedrock versus deep alluvial aquifers: reliability versus sustainability considerations for India’s groundwater irrigation. Water Resour. Res. (2011). doi:http://dx.doi.org/10.1029/2011WR010617
  2. 2.
    Kendall, M.: Rank Correlation Methods. Charles Griffin, London (1975)Google Scholar
  3. 3.
    Mann, H.: Nonparametric tests against trend. Econometrica 13, 245–259 (1945)CrossRefGoogle Scholar
  4. 4.
    Panda, D., Mishra, A., Kumar, A.: Quantification of trends in groundwater levels of Gujrat in western India. Hydrol. Sci. J. 57(7), 1325–1336 (2012)CrossRefGoogle Scholar
  5. 5.
    Pettitt, A.: A non-parametric approach to the changing point problem. J. Appl. Stat. 28, 126–135 (1979)CrossRefGoogle Scholar
  6. 6.
    Sen, P.: Estimates of the regression coefficient based on Kendall’s tau. J. Am. Stat. Assoc. 63, 1379–1389 (1968)CrossRefGoogle Scholar
  7. 7.
    Siebert, S., Burke, J., Faures, J., Frenken, K., Hoogeveen, J., Döll, P., Portmann, F.: Groundwater use for irrigation: a global inventory. Hydrol. Earth Syst. Sci. Discuss. 7, 3977–4021 (2010)CrossRefGoogle Scholar
  8. 8.
    Sishodia, R., Shukla, S., Graham, W., Wani, S., Garg, K.: Bi-decadal groundwater level trends in a semi-arid south Indian region: declines, causes and management. J. Hydrol. Reg. Stud. (2016). doi:http://dx.doi.org/10.1016/j.ejrh.2016.09.005
  9. 9.
    Somashekhara Reddy, S.: Declining groundwater levels in India. Int. J. Water Resour. Dev. 5(3), 183–190 (1989)CrossRefGoogle Scholar
  10. 10.
    Theil, H.: A rank-invariant method of linear and polynomial regression analysis III. Proc. K. Ned. Akad. Wet. 53, 1397–1412 (1950)Google Scholar
  11. 11.
    Wijngaard, J., Klein, Tank A., Koemmen, G.: Homogeneity of 20th century European daily temperature and precipitation series. Int. J. Climatol. 23, 679–692 (2003)CrossRefGoogle Scholar
  12. 12.
    Yue, S., Pilon, P., Phinney, B., Cavadias, G.: The influence of autocorrelation on the ability to detect trend in hydrological times series. Hydrol. Process. (2002).  https://doi.org/10.1002/hyp.1095

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Pallavi Kulkarni
    • 1
  • Sudhakar Pardeshi
    • 1
    Email author
  • Suchitra Pardeshi
    • 2
  1. 1.Department of GeographySavitribai Phule Pune UniversityPuneIndia
  2. 2.Prof. Ramkrishna More ACS CollegePuneIndia

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