Accounting for exhaustive secondary data into the mapping of water table elevation

Arabian Journal of Geosciences

Volumn 7, Issue 10, 2014, Pages 4221-4233

  Delbari, Masoomeh ^a  

^a UNIVERSITY OF ZABOL   (Iran)

Author keywords

DEM; Kriging; Multivariate geostatistics; Water table elevation

Indexed keywords

EID: 84878817803     PISSN: 18667511     EISSN: 18667538     Source Type: Journal    
DOI: 10.1007/s12517-013-0986-2     Document Type: Article

References (35)

1. Aboufirassi M, Marino MA (1983) Kriging of water levels in the Souss aquifer Morocco. Math Geol 15:537–551
2. Ahmed S, De Marsily G (1987) Comparison of geostatistical methods for estimating transmissivity using data on transmissivity and specific capacity. Water Resour Res 23(9):1717–1737
3. Boezio MNM, Costa JFCL, Koppe JC (2006) Accounting for extensive secondary information to improve watertable mapping. Nat Resour Res 15(1):33–48
4. Buchanan S, Triantafilis J (2009) Mapping water table depth using geophysical and environmental variables. Ground water 47(1):80–96
5. Chil´es JP, Delfiner P (1999) Geostatistics: modeling spatial uncertainty. Wiley-Interscience, New York, p 695
6. Coram J, Dyson P, Evans R (2001) An evaluation framework for dryland salinity, report prepared for the National Land and Water Resources Audit (NLWRA), sponsored by the Bureau of Rural Sciences. National Heritage Trust, NLWRA and National Dryland Salinity Program, Australia
7. Delhomme JP (1978) Kriging in the hydroscience. Adv in Water Resour 1:251–266
8. Desbarats AJ, Logan CE, Hinton MJ, Sharpe DR (2002) On the kriging of water table elevations using collateral information from a digital elevation model. J Hydrol 255(1–4):25–38
9. Deutsch CV, Journel AG (1998) GSLIB: geostatistical software library and user’s guide, 2nd edn. Oxford University Press, New York, p 369
10. Domenico PA, Schwartz FW (1990) Physical and chemical hydrogeology. John Wiley, New York
11. Gambolati G, Vapoli G (1979) Groundwater contour mapping in Venice by stochastic interpolator 1. Theory Water Resour Res 15(2):281–290
12. Goovaerts P (1997) Geostatistics for Natural Resources Evaluation. Oxford University Press, New York, p 483
13. Goovaerts P (2000) Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall. J Hydrol 228(2):113–129
14. Haitjema HM, Mitchel-Bruker S (2005) Are water tables a subdued replica of the topography? Ground Water 43(6):781–786
15. Hengl T, Heuvelink GBM, Stein A (2004) A generic framework for spatial prediction of soil variables based on regression kriging. Geoderma 120:75–93
16. Hoeksema RJ, Clapp RB, Thomas AL, Hunley AE, Farrow ND, Dearstone KC (1989) Cokriging model for estimation of water table elevation. Water Resour Res 25(3):429–438
17. Isaaks EH, Srivastava RM (1989) An introduction to applied geostatistics. Oxford University Press, New York, p 561
18. Journel AG, Huijbregts CJ (1978) Mining geostatistics. Academic Press, New York, p 600
19. King FH (1899) Principles and conditions of the movement of ground water: U.S. Geological Survey 19th Annual Report, part 2, p 59–294. http://pubs.er.usgs.gov/usgspubs/ar/ar19. Accessed 23 Feb 2011
20. Kravchenko AN (2003) Influence of spatial structure on accuracy of interpolation methods. Soil Sci Soc Am J 67(5):1564–1571
21. Kumar D, Ahmed S (2003) Seasonal behaviour of spatial variability of groundwater level in a granitic aquifer in monsoon climate. Curr Sci 84(2):188–196
22. Kumar V (2007) Optimal contour mapping of groundwater levels using universal kriging—a case study. Hydrol Sci J 52(5):1038–1050
23. Lloyd CD (2005) Assessing the effect of integrating elevation data into the estimation of monthly precipitation in Great Britain. J Hydrol 308:128–150
24. Mueller TG, Pierce FJ, Schabenberger O, Warncke DD (2001) Map quality for site-specific fertility management. Soil Sci Soc Am J 65(5):1547–1558
25. Peck MF, Payne DF (2003) Development of an estimated water-table map for coastal Georgia and adjacent parts of Florida and South Carolina. In: Hatcher KJ (ed) Proceedings of the 2003 Georgia Water Resources Conference, April 23–24, 2003, at the University of Georgia: Institute of Ecology. Georgia, University of Georgia, Athens, pp 871–874, accessed May 17, 2008
26. Reed P, Minsker B, Valocchi AJ (2000) Cost-effective long-term groundwater monitoring design using a genetic algorithm and global mass interpolation. Water Resour Res 36(12):3731–3741
27. Rivest M, Marcotte D, Pasquier P (2008) Hydraulic head field estimation using kriging with an external drift: A way to consider conceptual model information. J Hydrol 361(3–4):349–361
28. Rivoirard J (2002) On the structural link between variables in kriging with external drift. Math Geol 34(7):797–808
29. Robertson GP (2000) GS+: Geostatistics for the environment sciences. GS+ User’s Guide Version 5: Plainwell, Gamma design software, 200 p
30. Sepúlveda N (2002) Simulation of ground-water flow in the intermediate and Floridan aquifer systems in peninsular Florida: U.S. Geological Survey Water-Resources Investigations Report 02–4009, 130 p., accessed May 17, 2008
31. Sun Y, Kang S, Li F, Zhang L (2009) Comparison of interpolation methods for depth to groundwater and its temporal and spatial variations in the Minqin oasis of northwest China. Environ Modell Softw 24:1163–1170
32. Snyder DT (2008) Estimated depth to ground water and configuration of the water table in the Portland, Oregon area: U.S. Geological Survey Scientific Investigations Report 2008–5059, 40 p. Available at http://pubs.usgs.gov/sir/2008/5059/. Accessed 23 Feb 2011
33. Theodossiou N, Latinopoulos P (2006) Evaluation and optimization of groundwater observation networks using the kriging methodology. Environ Modell Softw 21:991–1000
34. Wackernagel H (2003) Multivariate geostatistics. An introduction with applications, 3rd edn. Springer, Berlin
35. Williams TA, Williamson AK (1989) Estimating water-table altitudes for regional ground-water flow modeling, U.S. Gulf Coast. Ground Water 27(3):333–340