Variogram and correlogram, two proposed estimators of the hydrological variability measurement

Authors

  • Alfonso Gutiérrez-López Autonomous University of Queretaro
  • Aldo I. Ramirez Technological of Monterrey
  • Thierry Lebel Laboratory for the Study of Transfers in Hydrology and Environment
  • Oscar Santillán Mexican Institute of Water Technology
  • Carlos Fuentes Autonomous University of Queretaro

DOI:

https://doi.org/10.17533/udea.redin.13824

Keywords:

Kriging, geostatistical, spatial interpolation, Tabasco’s flood, daily precipitation

Abstract

The analysis of daily precipitation data of four climate stations in the Mexican states of Chiapas and Tabasco is presented in this paper. The period from August to November of 2007 was selected because of the big flood that severely affected the city of Villahermosa and its surroundings. The variograms and correlograms indicate that the produced precipitations are in fact far from its normal variability. 

|Abstract
= 441 veces | PDF (ESPAÑOL (ESPAÑA))
= 188 veces|

Downloads

Download data is not yet available.

Author Biographies

Alfonso Gutiérrez-López, Autonomous University of Queretaro

Water Research Center, CIAQ.

Aldo I. Ramirez, Technological of Monterrey

Water Center for Latin America and the Caribbean.

Carlos Fuentes, Autonomous University of Queretaro

Water Research Center, CIAQ.

References

D. G. Krige. A statistical approchoach to some Basic mine valuation problems on the Witwatersrand. Journal of chem., metal. and mining. Vol. 52. 1951. pp.119-139.

G. Matheron. “Principles of Geostatistics”. Economic Geol. Vol. 58. 1963. pp.1246-1268. DOI: https://doi.org/10.2113/gsecongeo.58.8.1246

L. S. Gandin. “Objective Analysis of Meteorological fields”. Israel Program for Scientific Translations. N.° 1373. 1965. pp. 155-265.

F. B. Bretherton, R. E. Davis, C. B. Fandry. “A technique for objective analysis and design of oceanographic experiments applied to MODE-73”. Deep-Sea Res. Vol. 23. 1976. pp. 559-582. DOI: https://doi.org/10.1016/0011-7471(76)90001-2

P. B. Liebelt. An introduction to Optimal Estimation, Ed. Addison-Wesley. Boston (MA). 1967. pp. 62-102.

Y. Gratton. Le Krigeage: la méthode optimale d’interpolation spatial. Ed. Institut d′Analyse Géographique. Quebec (Canadá). 2002. pp. 1-4.

A. G. Journel, C.J. Huijbregts. Mining Geostatistics, Ed. Academic Press. London (UK). 1978. pp. 202-515.

E. H. Isaaks, R. Srivastava. Applied Geostatistics. Ed. Oxford University Press. New York. 1989. pp. 278- 290.

O. Dubrule. “Comparing Splines and Kriging”. Computers and Geosciences. Vol. 10. 1984. pp. 327- 33. DOI: https://doi.org/10.1016/0098-3004(84)90030-X

T. Lebel, Moyenne spatiale de la pluie sur un bassin versant: estimation optimal, génération stochastiques et gradex des valeurs extremes. Thesis. D. I. USMG, INP. Grenoble (Francia). 1984. pp. 35-198.

J. C. Davis. Statistics and Data analysis in Geology. Ed. John Wiley and Sons. New York. 1986. pp. 125- 134.

R. Haining. Spatial data analysis, theory and practice. Ed. Cambridge University Press. Cambridge (UK). 2003. pp. 181-225. DOI: https://doi.org/10.1017/CBO9780511754944

P. Goovaerts. “Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall”. Journal of Hydrology. Vol. 228. 2000. pp. 113-129. DOI: https://doi.org/10.1016/S0022-1694(00)00144-X

J. Creutin, C. Obled. “Objective analyses and mapping techniques for rainfall fields: an objective comparison”. Water Resources Research. Vol 18. 1982. pp. 413-431. DOI: https://doi.org/10.1029/WR018i002p00413

E. Todini. “Influence of parameter estimation uncertainty in Kriging: Part 1 Theoretical Development”. Hydrology and Earth System Sciences. Vol. 5. 2001. pp. 215-223. DOI: https://doi.org/10.5194/hess-5-215-2001

Published

2012-12-04

How to Cite

Gutiérrez-López, A., Ramirez, A. I., Lebel, T., Santillán, O., & Fuentes, C. (2012). Variogram and correlogram, two proposed estimators of the hydrological variability measurement. Revista Facultad De Ingeniería Universidad De Antioquia, (59), 193–202. https://doi.org/10.17533/udea.redin.13824