COMPARATIVE ANALYSIS OF EROSION MODELING TECHNIQUES IN A BASIN OF VENEZUELA (doi: 10.4090/juee.2010.v4n2.081104)

Adriana Marquez Romance, Edilberto Guevara Perez

Abstract


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 and fuzzy inference system are used. The physical process-based modeling involves the calibration, validation and testing of the models components: WEPP, DWEPP, 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 (2008-2009). 97 rainfall storms and 300 irrigation events were measured. Satisfactory fit was found in the techniques investigated, R² close to 0.7.

Keywords


sediments; hydrological models; model of soil erosion; hydrology; runoff; artificial neural networks; fuzzy inference system

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DOI: https://doi.org/10.4090/juee.2013.v4n2.

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ISSN 1982-3932
DOI: 10.4090/juee


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