8,771 research outputs found

    Água e degradação do solo.

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    Diversidade microbiana e desenvolvimento sustentável.

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    Trabalho apresentado no workshop sobre biodiversidade: perspectivas e oportunidades tecnológicas. Campinas, 29/04 - 01/05/1996. Organizado pela Fundação Tropical de Pesquisas e Tecnologia André Tosello

    Projeto SENSOR: políticas públicas relacionadas a expansão da Cana-de-açúcar para a produção de biocombustíveis.

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    Time evolution towards q-Gaussian stationary states through unified Ito-Stratonovich stochastic equation

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    We consider a class of single-particle one-dimensional stochastic equations which include external field, additive and multiplicative noises. We use a parameter θ[0,1]\theta \in [0,1] which enables the unification of the traditional It\^o and Stratonovich approaches, now recovered respectively as the θ=0\theta=0 and θ=1/2\theta=1/2 particular cases to derive the associated Fokker-Planck equation (FPE). These FPE is a {\it linear} one, and its stationary state is given by a qq-Gaussian distribution with q=τ+2M(2θ)τ+2M(1θ)<3q = \frac{\tau + 2M (2 - \theta)}{\tau + 2M (1 - \theta)}<3, where τ0\tau \ge 0 characterizes the strength of the confining external field, and M0M \ge 0 is the (normalized) amplitude of the multiplicative noise. We also calculate the standard kurtosis κ1\kappa_1 and the qq-generalized kurtosis κq\kappa_q (i.e., the standard kurtosis but using the escort distribution instead of the direct one). Through these two quantities we numerically follow the time evolution of the distributions. Finally, we exhibit how these quantities can be used as convenient calibrations for determining the index qq from numerical data obtained through experiments, observations or numerical computations.Comment: 9 pages, 2 figure

    Evaluation of soil temperature effect on herbicide leaching potential into groundwater in the brazilian cerrado.

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    The effect of annual variations in the daily average soil temperatures, at different depths, on the calculation of pesticide leaching potential indices is presented. This index can be applied to assess the risk of groundwater contamination by a pesticide. It considers the effects of water table depth, daily recharge net rate, pesticide sorption coefficient, and degradation rate of the pesticide in the soil. The leaching potential index is frequently used as a screening indicator in pesticide groundwater contamination studies, and the temperature effect involved in its calculation is usually not considered. It is well known that soil temperature affects pesticide degradation rates, air-water partition coefficient, and water-soil partition coefficient. These three parameters are components of the attenuation and retardation factors, as well as the leaching potential index, and contribute to determine pesticide behavior in the environment. The Arrhenius, van't Hoff, and Clausius-Clapeyron equations were used in this work to estimate the soil temperature effect on pesticide degradation rate, air-water partition coefficient, and water--soil partition coefficient, respectively. The relationship between leaching potential index and soil temperature at different depths is presented and aids in the understanding of how potential pesticide groundwater contamination varies on different climatic conditions. Numerical results will be presented for 31 herbicides known to be used in corn and soybean crops grown on the municipality of São Gabriel do Oeste, Mato Grosso do Sul State, Brazil
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