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Original Articles

Exploring temporal dynamics of spatially-distributed groundwater levels by integrating time series modeling with geographic information system

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Pages 1325-1345 | Received 15 Nov 2018, Accepted 24 Jun 2019, Published online: 07 Aug 2019

References

  • Adeloye AJ, Montaseri M. 2002. Preliminary streamflow data analyses prior to water resources planning study. Hydrol Sci J. 47(5):679–692.
  • Anderson RL. 1942. Distribution of the serial correlation coefficient. Ann Math Stat. 13(1):1–13.
  • Buishand TA. 1982. Some methods for testing the homogeneity of rainfall records. J Hydrol. 58(1–2):11–27.
  • Burek P, Satoh Y, Fischer G, Kahil MT, Scherzer A, Tramberend S, et al. 2016. Water futures and solution: fast track initiative (Final Report). Laxenburg, Austria: IIASA Working Paper, International Institute for Applied Systems Analysis (IIASA).
  • CGWB. 2006. Dynamic ground water resources of India. Central Ground Water Board (CGWB), Ministry of Water Resources, Government of India, Faridabad, India.
  • CGWB. 2014. Groundwater year book 2013–14. Central Ground Water Board (CGWB), Ministry of Water Resources, Government of India; p. 76.
  • Chen H-L, Rao AR. 2002. Testing hydrologic time series for stationarity. J Hydrol Eng. 7(2):129–136.
  • Chinnasamy P, Hubbart JA, Agoramoorthy G. 2013. Using remote sensing data to improve groundwater supply estimations in Gujarat, India. Earth Interact. 17(1):1–17.
  • DCO. 2011. District Census Handbook – Kachchh. Series 25, Part-XII-A, Village and Town Directory, Directorate of Census Operations (DCO), Gujarat, India. p. 19.
  • Delhomme. 1978. Kriging in the hydrosciences. Adv Water Resour. 1(5):251–266.
  • Fernando DAK, Jayawardena AW. 1994. Generation and forecasting of monsoon rainfall data. 20th WEDC Conference on Affordable Water Supply and Sanitation; Colombo, Sri Lanka; p. 310–313.
  • Goovaerts P. 1997. Geostatistics for natural resources evaluation. New York: Oxford University Press.
  • Haan CT. 2002. Statistical methods in hydrology. 2nd ed. Ames (IO): Iowa State University Press; p. 496.
  • Hirsch RM, Slack JR, Smith RA. 1982. Techniques of trend analysis for monthly water quality data. Water Resour Res. 18(1):107–121.
  • ILWIS. 2001. Integrated land and water information system, 3.2 Academic, User’s Guide. The Netherlands: International Institute for Aerospace Survey and Earth Sciences (ITC); p. 428–456.
  • Jenkins GM, Watts DG. 1968. Spectral analysis and its applications. San Francisco (CA): Holden-Day; p. 525.
  • Journal AG, Huijbregts CJ. 1978. Mining geostatistics. London: Academic Press.
  • Kendall MG. 1975. Rank correlation methods. London (UK): Charles Griffin and Co. Ltd.
  • Kitanidis PK. 1997. Introduction to geostatistics: applications in hydrogeology. New York: Cambridge University Press; p. 249.
  • Konikow LF. 2011. Contribution of global groundwater depletion since 1900 to sea-level rise. Geophys Res Lett. 38(17):n/a.
  • Kumar S, Machiwal D, Dayal D. 2017. Spatial modelling of rainfall trends using satellite datasets and geographic information system. Hydrol Sci J. 62(10):1636–1653.
  • Lopez B, Baran N, Bourgine B. 2015. An innovative procedure to assess multi-scale temporal trends in groundwater quality: example of the nitrate in the Seine–Normandy basin, France. J Hydrol. 522:1–10.
  • Machiwal D, Jha MK. 2006. Time series analysis of hydrologic data for water resources planning and management: a review. J Hydrol Hydromech. 54(3):237–257.
  • Machiwal D, Jha MK. 2012. Hydrologic time series analysis: theory and practice. The Netherlands: Springer; New Delhi, India: Capital Publishing Company; p. 303.
  • Machiwal D, Jha MK. 2014. Characterizing rainfall–groundwater dynamics in a hard-rock aquifer system using time series, geographic information system and geostatistical modelling. Hydrol Process. 28(5):2824–2843.
  • Machiwal D, Cloutier V, Güler C, Kazakis N. 2018. A review of GIS-integrated statistical techniques for groundwater quality evaluation and protection. Environ Earth Sci. 77(19):681.
  • Machiwal D, Gupta A, Jha MK, Kamble T. 2019. Analysis of trend in temperature and rainfall time series of an Indian arid region: comparative evaluation of salient techniques. Theor Appl Climatol. 136(1–2):301–320.
  • Machiwal D, Kumar S, Dayal D, Mangalassery S. 2017. Identifying abrupt changes and detecting gradual trends of annual rainfall in an Indian arid region under heightened rainfall rise regime. Int J Climatol. 37(5):2719–2733.
  • Machiwal D, Mishra A, Jha MK, Sharma A, Sisodia SS. 2012. Modeling short-term spatial and temporal variability of groundwater level using geostatistics and GIS. Nat Resour Res. 21(1):117–136.
  • Mann HB. 1945. Non-parametric tests against trend. Econometrica. 13(3):245–259.
  • O’Connel PE. 1977. ARIMA models in synthetic hydrology. In: Ciriani TA, Maione U, Wallis JR, editors. Mathematical models for surface water hydrology. New York: Wiley.
  • Panda DK, Wahr J. 2016. Spatiotemporal evolution of water storage changes in India from the updated GRACE-derived gravity records. Water Resour Res. 52(1):135–149.
  • Panda DK, Mishra A, Kumar A. 2012. Quantification of trends in groundwater levels of Gujarat in western India. Hydrol Sci J. 57(7):1325–1336.
  • Panda DK, Mishra A, Jena SK, James BK, Kumar A. 2007. The influence of drought and anthropogenic effects on groundwater levels in Orissa, India. J Hydrol. 343(3–4):140–153.
  • Prakash A. 2005. The dark zone: groundwater irrigation, politics and social power in North Gujarat. Hyderabad, India in the Wageningen University Water Resources Series, Orient Longman; p. 239.
  • Richey AS, Thomas BF, Lo MH, Reager JT, Famiglietti JS, Voss K, Swenson S, Rodell M. 2015. Quantifying renewable groundwater stress with GRACE. Water Resour Res. 51(7):5217–5238.
  • Shahin M, Van Oorschot HJL, De Lange SJ. 1993. Statistical analysis in water resources engineering. Rotterdam, The Netherlands: A.A. Balkema, p. 394.
  • Shamsudduha M, Chandler RE, Taylor RG, Ahmed KM. 2009. Recent trends in groundwater levels in a highly seasonal hydrological system: the Ganges–Brahmputra–Megha delta. Hydrol Earth Syst Sci. 13(12):2373–2385.
  • Snedecor GW, Cochran WG. 1980. Statistical methods. Ames (IO): Iowa State University Press.
  • UNESCO. 2018. Nature-based solutions for water. Paris, France: The United Nations World Water Development Report (WWDR), World Water Assessment Program, UNESCO.
  • World Bank. 2010. Deep wells and prudence: towards pragmatic action for addressing groundwater overexploitation in India. World Bank Report No. 51676, Washington, DC: World Bank.
  • Yazdanpanah N. 2016. Spatiotemporal mapping of groundwater quality for irrigation using geostatistical analysis combined with a linear regression method. Model Earth Syst Environ. 2(1):18.
  • Yue S, Wang CY. 2002. Applicability of prewhitening to eliminate the influence of serial correlation on the Mann–Kendall test. Water Resour Res. 38(6):4–1–4-7.
  • Yue S, Wang CY. 2004. The Mann–Kendall test modified by effective sample size to detect trend in serially correlated hydrological series. Water Resour Manage. 18(3):201–218.

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