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

Francisco Gerardo Benavides-Bravo, F-Javier Almaguer, Roberto Soto-Villalobos, Víctor Tercero-Gómez and Javier Morales-Castillo

Mathematical Problems in Engineering, 2015, vol. 2015, 1-7

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.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:629254

DOI: 10.1155/2015/629254

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