Skip to main content
Log in

Spatial analyses of groundwater levels using universal kriging

  • Published:
Journal of Earth System Science Aims and scope Submit manuscript

Abstract

For water levels, generally a non-stationary variable, the technique of universal kriging is applied in preference to ordinary kriging as the interpolation method. Each set of data in every sector can fit different empirical semivariogram models since they have different spatial structures. These models can be classified as circular, spherical, tetraspherical, pentaspherical, exponential, gaussian, rational quadratic, hole effect, K-bessel, J-bessel and stable. This study aims to determine which of these empirical semivariogram models will be best matched with the experimental models obtained from groundwater-table values collected from Mustafakemalpasa left bank irrigation scheme in 2002. The model having the least error was selected by comparing the observed water-table values with the values predicted by empirical semivariogram models. It was determined that the rational quadratic empirical semivariogram model is the best fitted model for the studied irrigation area.

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

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Anonymous 1967 Mustafakemalpasa Sulama Projesi Tesis Tanitma Foyu, Devlet Su Isleri, Karacabey Sube Mudurlugu, Bursa (Turkish).

  • Anonymous 1976 Mustafakemalpasa Projesi, MKP Ovasi Detayli Arazi Tasnif ve Drenaj Raporu, Cilt 1, Devlet Su Isleri Genel Mudurlugu 1. Bolge Mudurlugu, Bursa (Turkish).

  • Anonymous 2000 Mustafakemalpasa Sulamasi Taban suyu Raporu (Ekim 1999–Eylül 2000). Devlet Su Isleri Genel Mudurlugu 1. Bolge Mudurlugu, Bursa (Turkish).

  • Anonymous 2001 Surface III, Kansas Geology Survey at the University of Kansas, http://www.kgs.ku.edu/Tis/surf3.

  • Bastin G, Lorent B, Duque C and Gevers M 1984 Optimal estimation of the average rainfall and optimal selection of raingage locations; Water Resour. Res. 20(4) 463–470.

    Article  Google Scholar 

  • Chirlin G R and Dagan G 1980 Theoretical Head Variogram for Steady Flow in Statistically Homogeneous Aquifers; Water Resour. Res. 16(6) 1001–1015.

    Google Scholar 

  • Coram J, Dyson P and Evans R 2001 An Evaluation Framework for Dryland Salinity, report prepared for the National Land & Water Resources Audit (NLWRA), sponsored by the Bureau of Rural Sciences, National Heritage Trust, NLWRA and National Dryland Salinity Program, Australia.

    Google Scholar 

  • Duc H, Shannon I and Azzi M 2000 Spatial distribution characteristics of some air pollutants in Sydney; Mathematics and Computers in Simulation 54(1–3) 1–21.

    Article  Google Scholar 

  • Hill M and Alexandar F 1989 Statistical Methods Used in Assessing the Risk of Disease Near a Source of Possible Environmental Pollution: a Review. J. Roy. Stat. Soc. 152 353–363.

    Article  Google Scholar 

  • Johnson K, Ver Hoef J M, Krivoruchko K and Lucas N 2001 Using ArcGIS Geostatistical Analyst, GIS by ESRI, Redlands, USA.

    Google Scholar 

  • Kumar D and Ahmed S 2003 “Seasonal Behaviour of Spatial Variability of Groundwater Level in a Granitic Aquifer in Monsoon Climate”; Curr. Sci. 84(2) 188–196

    Google Scholar 

  • Vieira S R, Hatfield J L, Nielsen D R and Biggar J W 1983 “Geostatistical Theory and Application to Variability of Some Agronomical Properties”, Hilgardia 51(2) 1–75, Davis, California.

    Google Scholar 

  • White J G, Welch R M and Norvell W A 1997 Soil Zinc Map of the USA Using Geostatistics and Geographic Information Systems; Soil Science Society of America Journal 61(1) 185–194.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Gundogdu, K.S., Guney, I. Spatial analyses of groundwater levels using universal kriging. J Earth Syst Sci 116, 49–55 (2007). https://doi.org/10.1007/s12040-007-0006-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12040-007-0006-6

Keywords

Navigation