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

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 applie...

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Autores principales: Benavides Bravo, Francisco Gerardo, Almaguer Martínez, Francisco Javier, Soto Villalobos, Roberto, Tercero Gómez, Víctor, Morales Castillo, Javier
Formato: Artículo
Lenguaje:inglés
Publicado: 2015
Acceso en línea:http://eprints.uanl.mx/14985/1/149.pdf
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author Benavides Bravo, Francisco Gerardo
Almaguer Martínez, Francisco Javier
Soto Villalobos, Roberto
Tercero Gómez, Víctor
Morales Castillo, Javier
author_facet Benavides Bravo, Francisco Gerardo
Almaguer Martínez, Francisco Javier
Soto Villalobos, Roberto
Tercero Gómez, Víctor
Morales Castillo, Javier
author_sort Benavides Bravo, Francisco Gerardo
collection Repositorio Institucional
description 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.
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spelling eprints-149852020-04-29T17:03:08Z http://eprints.uanl.mx/14985/ Clustering of Rainfall Stations in RH-24 Mexico Region Using the Hurst Exponent in Semivariograms Benavides Bravo, Francisco Gerardo Almaguer Martínez, Francisco Javier Soto Villalobos, Roberto Tercero Gómez, Víctor Morales Castillo, Javier 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. 2015 Article PeerReviewed text en cc_by_nc_nd http://eprints.uanl.mx/14985/1/149.pdf http://eprints.uanl.mx/14985/1.haspreviewThumbnailVersion/149.pdf 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 http://doi.org/10.1155/2015/629254 doi:10.1155/2015/629254
spellingShingle Benavides Bravo, Francisco Gerardo
Almaguer Martínez, Francisco Javier
Soto Villalobos, Roberto
Tercero Gómez, Víctor
Morales Castillo, Javier
Clustering of Rainfall Stations in RH-24 Mexico Region Using the Hurst Exponent in Semivariograms
thumbnail https://rediab.uanl.mx/themes/sandal5/images/online.png
title Clustering of Rainfall Stations in RH-24 Mexico Region Using the Hurst Exponent in Semivariograms
title_full Clustering of Rainfall Stations in RH-24 Mexico Region Using the Hurst Exponent in Semivariograms
title_fullStr Clustering of Rainfall Stations in RH-24 Mexico Region Using the Hurst Exponent in Semivariograms
title_full_unstemmed Clustering of Rainfall Stations in RH-24 Mexico Region Using the Hurst Exponent in Semivariograms
title_short Clustering of Rainfall Stations in RH-24 Mexico Region Using the Hurst Exponent in Semivariograms
title_sort clustering of rainfall stations in rh 24 mexico region using the hurst exponent in semivariograms
url http://eprints.uanl.mx/14985/1/149.pdf
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