Modelo de suporte à avaliação do impacto do uso e manejo do solo no balanço hídrico e nas perdas de solo

• Autor(a) principal: Mello, Eloy Lemos de
• Data de Publicação: 2009
• Tipo de documento: Tese
• Idioma: por
• Título da fonte: LOCUS Repositório Institucional da UFV
• Texto Completo: http://locus.ufv.br/handle/123456789/668
• topic: Escoamento superficial; Modelo hidrológico; Erosão hídrica; Disponibilidade hídrica; Infiltração da água no solo; Runoff; Hydrological model; Water erosion; water availability; Water infiltration into soil; CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA

The main form of agricultural land degradation is the soil water erosion which is caused by the action of rain and runoff, being affected by a large number of natural and antropic agents. Moreover, much of the water that flows over the soil surface represents a reduction in the volume of water that reaches the water table. The models are important tools for analysis, since they allow a better understanding of hydrological processes and the assesment of management practices and land use. The aim of this work was to develop and calibrate a hydrologic model to support the impact assessment of the use and management of soil on water availability and soil losses. In 2001, Pruski et al. proposed a hydrologic model to estimate the components of water balance in agricultural areas. The intensity of precipitation is obtained by a function derived from the i-d-f equation, resulting in a profile where the peak rainfall intensity occur in the beginning of precipitation and decreases until the end. The infiltration rate is based on the Green-Ampt-Mein-Larson (GAML) equation. A major limitation of the method is related to the precipitation intensity profile, because it is always associated with a recurrence period and does not properly represent the majority of natural rainfall. With regard to infiltration, the GAML equation is applied without adjustment of the input parameters, which can lead to errors in the infiltration estimate. To make easier the application of the hydrological model was developed a software (Simulação Hidrológica-SH2), whose main limitation is the difficulty of making continuous simulation. In this study we implemented some adjustments to the hydrological model: a) replacement of i-d-f equation by a double exponential equation to represent the precipitation profile; b) the parametrization of the GAML equation to estimate the infiltration rate; c) inclusion of the continuity equation for the simulation of the soil water erosion. The software was integrated with a weather generator (ClimaBR) to allow for daily simulation of hydrological processes, and a module for calculating the soil loss was added. For the evaluation of the model were used monthly and annual rainfall, runoff and soil loss data, obtained from four experimental plots located on the campus of the University of Santa Catarina State - UDESC, in the period from 2003 to 2008. The treatments were the soil without vegetation (SC), conventional tillage (PC), minimum tillage (CM) and no tillage (SD). The simulation was performed with two precipitation synthetic series, one set on a monthly basis (SABM) and another set on a daily basis (SABD). The combination of parameters which resulted in the best fit of the GAML equation was: the replacement of hydraulic conductivity (K0) by the constant infiltration rate (Tie); and the estimated matric potential at the wetting front as a function of hydraulic conductivity in the saturated zone ( Ψf(Kw)). The regression coefficients between the total monthly runoff observed and estimated showed the model has a tendency to underestimate the runoff during the months when major events occur, and to overestimate during the months when minor events were observed. With SABD the coefficients of regression equations were better than the SABM. The model underestimated the average annual runoff for SC, PC and CM, but overestimated for SD. However, were not found statistically significant differences between the observed average annual runoff and average annual runoff estimated by the model. The values of r2 were low. There was no statistically significant difference between the average soil loss rate observed and estimated by the model for the soil without vegetation (SC), but was significant for the other soil tillage.