Clustering of Rainfall Stations in RH-24 Mexico Region Using the Hurst Exponent in Semivariograms
MATHEMATICAL PROBLEMS IN ENGINEERING(2015)
摘要
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 Rio Bravo-San Juan watershed, at the hydrographic RH-24Mexico 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.
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