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vol.34 issue2Valores umbrales de algunos indicadores de calidad de suelos en molisoles de la región semiárida pampeanaMaterial originario y suelos enterrados en la llanura de Tucumán author indexsubject indexarticles search
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Ciencia del suelo

On-line version ISSN 1850-2067

Abstract

ANDRIANI, JOSÉ MIGUEL; MAGNANO, LUCIANA  and  SANMARTI, NICOLÁS. Modelo ‘‘cuanti-cualitativo’’ de escurrimiento superficial del agua en suelos agrícolas de la región Pampeana Argentina. Cienc. suelo [online]. 2016, vol.34, n.2, pp.293-301. ISSN 1850-2067.

Rainfall-runoff relationship modeling have been studied for a long time, developing along these period several methods and models to simulate rainfall-runoff event. One of the widely used methods is the ‘‘Curve Number’’ (CN) of the United States Soil Conservation Service which requires empiric data. This method as well as all regression models provides highly variable results for the same rainfall event. Therefore, in order to find a quantitative and qualitative model that helps reduce these variability, a quantitative adjusted regression model for Argentine Pampa Region is proposed. It was performed a regression analysis with a set of quantitative data, subsequently became associated with qualitative data. The objective of the analysis was to determine runoff average values from both the quantity and intensity of rainfall, and the surface soil moisture. A multiple linear regression model with variable indicators was used to estimate runoff based on quantitative and qualitative variables. A Backward Selection process was used to select variables that should be in the model. The linear equation obtained from the observed data, for non-tillage Mollisols with agricultural aptitude of the Pampa Region with slopes less than 1%, had good statistical adjustment. However, the variability found in daily precipitation values between 40 and 80 mm, is not suitable for estimating crop water balances. In summary, the soil described showed that the regression model with quantitative and qualitative indicator variables produces a substantial improvement for surface runoff estimation.

Keywords : Rainfall-runoff relationship; Calculation methods; Rainfall intensity; Equation.

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