Regionalización de los parámetros del modelo DIT para predicción de lluvias máximas en diseño hidrológico

The DIT rainfall prediction model estimates the Rainfall intensity-duration-return period (i-d-T)relationships from pluviographics maximum series with Log-normal distribution. The DIT model is based onan algebraic estimate of the normal frequency factor. DIT incorporates the duration of the rainfall...

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Autores principales: Rico, Andrea, Dasso, Clarita, García, Carlos, Caamaño Nelli, Gabriel
Formato: Artículo revista
Lenguaje:Español
Publicado: CURIHAM: Centro Universitario Rosario de Investigaciones Hidroambientales Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Universidad Nacional de Rosario Director: Dr. Ing. Hernán Stenta Riobamba 245 bis, 2000 Rosario (Santa Fe), Argentina. Telefa 2011
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Acceso en línea:https://cuadernosdelcuriham.unr.edu.ar/index.php/CURIHAM/article/view/53
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Sumario:The DIT rainfall prediction model estimates the Rainfall intensity-duration-return period (i-d-T)relationships from pluviographics maximum series with Log-normal distribution. The DIT model is based onan algebraic estimate of the normal frequency factor. DIT incorporates the duration of the rainfall in ananalytical way, giving conceptual meaning to its parameters and allowing their transposition to pluviometricraingage stations (daily rainfall depths records). The i-d-T logarithmic expression has four parameters: A, B,C, q. This paper analyzes the regional behavior of each parameter of the DIT model in two stages: a)Calibration of the four DIT parameters, on i-d-T matrices generated from empirical i-d-T functions availableat several locations, and b) Spatial interpolation of the parameters in a Geographical Information system(GIS), using different methods. The results consist of maps of isolines for each parameter, showing thespatial evolution in central and northern Argentina. The proposed methodology is acceptable regionalizingthe DIT model parameters.