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

Benavides Bravo, Francisco Gerardo y Almaguer Martínez, Francisco Javier y Soto Villalobos, Roberto y Tercero Gómez, Víctor y Morales Castillo, Javier (2015) Clustering of Rainfall Stations in RH-24 Mexico Region Using the Hurst Exponent in Semivariograms. Mathematical Problems in Engineering, 2015. pp. 1-7. ISSN 1024-123X

Vista previa
149.pdf - Versión Publicada
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (3MB) | Vista previa
URL o página oficial:


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 R´ıo Bravo-San Juan watershed, at the hydrographic RH-24 Mexico region.The database was provided by theWater 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.

Tipo de elemento: Article
Usuario depositante: Editor Repositorio
Benavides Bravo, Francisco Gerardofgbenavid@gmail.comNO ESPECIFICADO
Almaguer Martínez, Francisco Javieralmagerjavier@gmail.comNO ESPECIFICADO
Soto Villalobos, ESPECIFICADO
Tercero Gómez, Ví ESPECIFICADO
Fecha del depósito: 10 Mayo 2019 17:36
Última modificación: 29 Abr 2020 17:03

Actions (login required)

Ver elemento Ver elemento


Downloads per month over past year