%0 Journal Article
%T COMPARATIVE ANALYSIS OF EROSION MODELING TECHNIQUES IN A BASIN OF VENEZUELA
%A Adriana Marquez Romance
%A Edilberto Guevara Perez
%J Journal of Urban and Environmental Engineering
%D 2010
%I University of Paraiba
%X This paper investigates a comparative analysis of erosion modeling techniques based on deterministic models, both empirically-based and process-based models. The empirical modeling is based on statistical and artificial intelligence techniques. In the first, two types of statistical regression model structures are investigated, a linear multiple regression model structure and a nonlinear multiple regression model structure. In the second, tools such as artificial neural networks (ANN) and fuzzy inference system (FIS) are used. The physical process-based modeling involves the calibration, validation and testing of the models components: WEPP, EUROSEM and CIHAM-UC. The input and output variables of models were collected during rainy and dry (irrigation) seasons in Chirgua river basin, Venezuela for two years (2008¨C2009). Ninety-seven rainfall storms and 300 irrigation events were measured. Satisfactory fit was found in the techniques investigated, R2 close to 0.7.
%K Sediments
%K hydrological models
%K soil erosion model
%K regression model
%K hydrology
%K runoff
%K artificial neural networks
%K fuzzy inference systems
%U http://dx.doi.org/10.4090/juee.2010.v4n2.081104