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Trend and Homogeneity in Subsurface Hydrologic Variables: Case Study in a Hard-Rock Aquifer of Western India

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Hydrologic Time Series Analysis: Theory and Practice

Abstract

A comprehensive review on the applications of time series analysis in surface water hydrology, climatology and groundwater hydrology (Machiwal and Jha, 2006) revealed that although several studies deal with the application of time series analysis in surface water hydrology, the application of time series analysis in subsurface hydrology is greatly limited. In subsurface hydrology, time series analysis has been mostly used for detecting trends in groundwater quality (Loftis, 1996; Broers and van der Grift, 2004; Chang, 2008; Visser et al., 2009).

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References

  • Bhuiyan, C., Singh, R.P. and Kogan, F.N. (2006). Monitoring drought dynamics in the Aravalli region (India) using different indices based on ground and remote sensing data. International Journal of Applied Earth Observation and Geoinformation, 8(4): 289-302.

    Article  Google Scholar 

  • Broers, H.P. and van der Grift, B. (2004). Regional monitoring of temporal changes in groundwater quality. Journal of Hydrology, 296: 192-220.

    Article  Google Scholar 

  • Buishand, T.A. (1982). Some methods for testing the homogeneity of rainfall records. Journal of Hydrology, 58: 11-27.

    Article  Google Scholar 

  • Chang, H. (2008). Spatial analysis of water quality trends in the Han River basin, South Korea. Water Research, 42: 3285-3304.

    Article  Google Scholar 

  • Conover, W.J. (1971). Practical Non-Parametric Statistics. Wiley, New York.

    Google Scholar 

  • Esterby, S.R. (1996). Review of methods for the detection and estimation of trends with emphasis on water quality applications. Hydrological Processes, 10: 127149.

    Article  Google Scholar 

  • Fernando, D.A.K. and Jayawardena, A.W. (1994). Generation and forecasting of monsoon rainfall data. Proceedings of the 20 th WEDC Conference on Affordable Water Supply and Sanitation, Colombo, Sri Lanka, pp. 310-313, http:// wedc.lboro.ac.uk/conferences/pdfs/20/Fernandd.pdf (accessed on 27 February 2008).

    Google Scholar 

  • Gilbert, R.O. (1987). Statistical Methods for Environmental Pollution Monitoring. Van Nostrand Reinhold, New York.

    Google Scholar 

  • Hess, A., Iyer, H. and Malm, W. (2001). Linear trend analysis: A comparison of methods. Atmospheric Environment, 35(30): 5211-5222.

    Article  Google Scholar 

  • Kanji, G.K. (2001). 100 Statistical Tests. Sage Publication, New Delhi, India, 215 pp.

    Google Scholar 

  • Loftis, J.C. (1996). Trends in groundwater quality. Hydrological Processes, 10: 335355.

    Google Scholar 

  • Machiwal, D. and Jha, M.K. (2006). Time series analysis of hydrologic data for water resources planning and management: A review. Journal of Hydrology and Hydromechanics, 54(3): 237-257.

    Google Scholar 

  • Machiwal, D. and Jha, M.K. (2008). Comparative evaluation of statistical tests for time series analysis: Application to hydrological time series. Hydrological Sciences Journal, 53(2): 353-366.

    Article  Google Scholar 

  • Salas, J.D. (1993). Analysis and modeling of hydrologic time series. In: D.R. Maidment (editor), Handbook of Hydrology, McGraw-Hill, Inc., New York, pp. 19.1-19.72.

    Google Scholar 

  • Samra, J.S. (2004). Review and Analysis of Drought Monitoring, Declaration and Management in India. Working Paper 84, International Water Management Institute (IWMI), Colombo, Sri Lanka.

    Google Scholar 

  • Shahin, M., Van Oorschot, H.J.L. and De Lange, S.J. (1993). Statistical Analysis in Water Resources Engineering. A.A. Balkema, Rotterdam, The Netherlands, 394 pp.

    Google Scholar 

  • Tukey, J.W. (1977). Exploratory Data Analysis. Addison-Wesley, MA.

    Google Scholar 

  • Visser, A., Broers, H.P., Heerdink, R. and Bierkens, M.F.P. (2009). Trends in pollutant concentrations in relation to time of recharge and reactive transport at the groundwater body scale. Journal of Hydrology, 369: 427-439.

    Article  Google Scholar 

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Machiwal, D., Jha, M.K. (2012). Trend and Homogeneity in Subsurface Hydrologic Variables: Case Study in a Hard-Rock Aquifer of Western India. In: Hydrologic Time Series Analysis: Theory and Practice. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1861-6_8

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