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Tecnología y ciencias del agua
On-line version ISSN 2007-2422
Abstract
PAZ-PELLAT, Fernando; MARIN-SOSA, Ma. Isabel and MARTINEZ-MENEZ, Mario. Rainfall-runoff expo-linear model for long-term experimental plots with corn crops. Tecnol. cienc. agua [online]. 2013, vol.4, n.5, pp.85-97. ISSN 2007-2422.
Modeling of the rainfall-runoff relationship (P-Q) plays an important role in the planning and management of water resources in plots and basins. Although many different hydrological models currently exist to estimate this relationship, they are difficult to apply because they require a large amount of data. A simpler and more attractive method for this type of modeling is called the curve number (CN), which depends on a single parameter . Nevertheless, its application requires knowing the dynamics of vegetation cover, the hydraulic response of soil and the soil cover (e.g. agricultural residues), since these factors influence the hydraulic response of the system. A method similar to the CN in terms of simplicity is the model introduced by Paz (2009), which considers two phases in the pattern that describes the P-Q relationship- an exponential and a linear phase. This paper reviews the expo-linear model using precipitation and runoff data for a period of 6 years (1996-2001) on runoff plots with corn crops (different land management systems). In this case, the CN model was used as a method to organize the hydrological patterns resulting from different treatments. Based on the patterns observed, only the linear phase of the expo-linear model was used to estimate the P-Q relationship. The results showed a high correlation between estimated and measured Q values (R2 = 0.99 for all management systems). It was therefore concluded that the model can be reliably used as a simplified method to model the P-Q relationship. The empirical results define a simple modeling technique based on estimating the parameters of the expo-linear model.
Keywords : curve number; expo-linear model; linear phase; ordered pairs (P, Q); runoff plots.