Spatial variability of the hurst exponent for the daily scale rainfall series in the state of zacatecas, Mexico
Por:
Valle, MAV, Garcia, GM, Cohen I.S., Oleschko, LK, Corral, JAR, Korvin G.
Publicada:
1 dic 2013
Categoría:
Atmospheric Science
Resumen:
The structural pattern of rainfall data exhibits random fluctuations over time and space. Utilizing concepts of fractal theory, it has been possible to identify characteristics of rainfall data beyond simple statistical indicators of their randomness. The objective of this research was to identify the spatial variation of the Hurst exponent, extracted through standard wavelet techniques from time series of daily rainfall data in the state of Zacatecas, Mexico. The Hurst exponent was extracted for 26 locations using the reference techniques for auto-affine traces-in particular, the wavelets method. Results have shown that the Hurst exponents of rainfall time series are negatively influenced by altitude; thus, stations located at higher altitudes were characterized by Hurst exponents indicating more nonpersistent behavior. The trends among geographical variables (west longitude and latitude) and climatic parameters (annual rainfall and number of rainy days) and their relationship with the Hurst exponent were also analyzed. © 2013 American Meteorological Society.
Filiaciones:
Cohen I.S.:
Centro Nacional de Investigacion Disciplinaria en Relacion Agua Suelo Planta Atmósfera, Instituto Nacional de Investigaciones Fore stales, Agrícolas y Pecuarias, Gómez Palacio, Durango, Mexico
Oleschko, LK:
Univ Nacl Autonoma Mexico, Ctr Geol, Juriquilla, Queretaro, Mexico
Korvin G.:
Earth Sciences Department, Reservoir Characterization Research Group, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
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