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Clustering of Rainfall Stations in RH-24 Mexico Region Using the Hurst Exponent in Semivariograms

Author

Listed:
  • Francisco Gerardo Benavides-Bravo
  • F-Javier Almaguer
  • Roberto Soto-Villalobos
  • Víctor Tercero-Gómez
  • Javier Morales-Castillo

Abstract

An important topic in the study of the time series behavior and, in particular, meteorological time series is the long-range dependence. This paper explores the behavior of rainfall variations in different periods, using long-range correlations analysis. Semivariograms and Hurst exponent were applied to historical data in different pluviometric stations of the Río Bravo-San Juan watershed, at the hydrographic RH-24 Mexico region. The database was provided by the Water National Commission (CONAGUA). Using the semivariograms, the Hurst exponent was obtained and used as an input to perform a cluster analysis of rainfall stations. Groups of homogeneous samples that might be useful in a regional frequency analysis were obtained through the process.

Suggested Citation

  • Francisco Gerardo Benavides-Bravo & F-Javier Almaguer & Roberto Soto-Villalobos & Víctor Tercero-Gómez & Javier Morales-Castillo, 2015. "Clustering of Rainfall Stations in RH-24 Mexico Region Using the Hurst Exponent in Semivariograms," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-7, December.
    • Handle: RePEc:hin:jnlmpe:629254
    DOI: 10.1155/2015/629254
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