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

Abstract

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 on
an algebraic estimate of the normal frequency factor. DIT incorporates the duration of the rainfall in an
analytical way, giving conceptual meaning to its parameters and allowing their transposition to pluviometric
raingage 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 available
at 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 the
spatial evolution in central and northern Argentina. The proposed methodology is acceptable regionalizing
the DIT model parameters.