Pesticide bioconcentration modelling for fruit trees.

The model presented allows simulating the pesticide concentration in fruit trees and estimating the pesticide bioconcentration factor in fruits of woody species. The model allows estimating the pesticide uptake by plants through the water transpiration stream and also the time in which maximum pesticide concentration occur in the fruits. The equation proposed presents the relationships between bioconcentration factor (BCF) and the following variables: plant water transpiration volume (Q), pesticide transpiration stream concentration factor (TSCF), pesticide stem-water partition coefficient (KWood,w), stem dry biomass (M) and pesticide dissipation rate in the soil-plant system (kEGS). The modeling started and was developed from a previous model ?Fruit Tree Model? (FTM), reported by Trapp and collaborators in 2003, to which was added the hypothesis that the pesticide degradation in the soil follows a first order kinetic equation. The model fitness was evaluated through the sensitivity analysis of the pesticide BCF values in fruits with respect to the model entry data variability

Assessing the risk of groundwater contamination from organic substances in sewage sludge.

In this work, the risk of groundwater contamination from organic substances in sewage sludge from wastewater treatment stations was evaluated in its worst case. The sewage sludge was applied as fertilizer in corn culture, prioritizing the substances for monitoring. The assessing risk took place in a Typic Distrophic Red Latossol (TDRL) area, in the county district of Jaguariúna, SP. The simulators CMLS-94 and WGEN were used to evaluate the risk of twenty-eight organic substances in sewage sludge to leach to groundwater. The risk of groundwater contamination was accomplished for a single sludge dose application in a thousand independent and equally probable years, simulated to esteem the substances leaching in one year after the application date of the sludge. It is presented the substances that should be priorly monitored in groundwater

Pesticide dispersion-advection equation with soil temperature effect.

A dispersion-advection equation, denoted as a DAPESTE model, of one-dimensional evolution to simulate pesticide leaching in soil with a sinusoidal function to describe the daily average soil temperature at different depths is presented. In numerical simulation, the finite element method (FEM) will be used for space semi-discretization and the regressive Eüler method (REM) for time discretization. It will be used as an FEM for dispersion-advection problems in which the advective transport predominates over the dispersive one. Let us suppose that the pesticide diffusivities in the gaseous and aqueous soil phases depend on the soil temperature. In this way, the effective hydrodynamic dispersion coefficient of the dispersion-advection equation will depend on the soil temperature. The pesticide air-water partition coefficient of the Henry law, varying with temperature, will be determined by the Clausius-Clapeyron equation. The van´t Hoff equation will be used to determine the temperature dependence of the pesticide soil sorption coefficient. The Arrhenius equation will be used to estimate the effect of the soil temperature on the pesticide degradation rate. These temperature dependence relationships can help comprehend the pesticide behavior in the soil under different scenarios of the soil temperatures, especially in pesticide concentration leaching and its half-life in soil

Distribuição ambiental de poluentes orgânicos encontrados em lodos de esgoto.

O objetivo deste trabalho foi apresentar uma modelagem da distribuição ambiental de vinte e nove poluentes orgânicos encontrados em amostras de lodos de esgoto das estações de tratamento de esgoto de Barueri e Suzano, SP. Lodos de esgoto são misturas de produtos orgânicos e inorgânicos gerados nos processos primários e secundários de tratamento que, mediante adequado controle de qualidade, podem ser reutilizados como fertilizantes agrícolas. O modelo de fugacidade nível I foi aplicado a um sistema compartimental hipotético constituído de ar, água, solo, sedimento, biota aquática e plantas. Foi utilizada a massa molecular, a pressão de vapor, a solubilidade em água, a constante de Henry, o coeficiente de partição octanol-água e a meia-vida no solo de cada um dos poluentes. O coeficiente de sorção no solo, os fatores de bioconcentração em organismos aquáticos, raízes e na seiva do xilema de plantas foram calculados por meio de expressões que correlacionam cada um desses parâmetros com o coeficiente de partição octanol-água do poluente. Foram estimados e usados os coeficientes de partição folha-ar e ar-água e o índice GUS de cada poluente. A modelagem e os cálculos dos fatores de bioconcentração e dos coeficientes de partição revelam os compartimentos preferenciais dos poluentes

The bioconcentration factor of pesticides in potatoes.

We presented a model that estimates the bioconcentration factor (BCF) of pesticides in potatoes supposing that the pesticide in the soil solution is absorbed by the potato by passive diffusion, following Fick?s second law. The pesticides in the model are nonionic organic substances, traditionally used in potato crops that degrade in the soil according to a first order kinetic equation. This presents an expression that relates BCF with the pesticide elimination rate by the potato, with the pesticide accumulation rate within the potato, with the rate of growth of the potato and with the pesticide degradation rate in the soil. BCF was estimated supposing steady state equilibrium of the quotient between the pesticide concentration in the potato and the pesticide concentration in the soil solution. It is suggested that a negative correlation exists between the pesticide BCF and the soil sorption partition coefficient. The model was built based on the work of Trapp et al. (2007), [Diffusion of PAH in Potato and Carrot Slices and Applications for a Potato Model] in which an expression to calculate the diffusivity of persistent organic substances in potatoes is presented. The model consists in adding to the expression of Trapp et al. (2007) the hypothesis that the pesticide degrades in the soil. The value of BCF suggests which pesticides should be monitored in potatoes

Fator de bioconcentração de poluentes orgânicos de lodos em laranjas.

O objetivo desse trabalho foi estimar o fator de bioconcentração de 19 poluentes orgânicos de lodos em laranjas, para indicar quais os poluentes que devem ser monitorados em laranjas cultivadas em solos tratados com lodos de esgoto provenientes de estações de tratamento do Estado de São Paulo. Para tanto, foram assumidos um cultivo hipotético de laranja em um solo tratado com lodo e utilizado o modelo Fruit Tree Model (FTM) para estimar o fator de bioconcentração. Foram utilizados os coeficientes de partição octanol-água dos poluentes, a taxa de transpiração e a biomassa das plantas de laranjeiras. Os coeficientes de partição caule-água e o fator de concentração no fluxo de transpiração foram calculados por meio de expressões que correlacionam cada um desses parâmetros com o coeficiente de partição octanol-água. Os poluentes indicados para monitoramento em laranja foram: 1,2-diclorobenzeno, 1,3-diclorobenzeno, 1,4-diclorobenzeno, 2,4-dinitrofenol, 3,3- diclorobenzidina e nitrobenzeno

Fator de bioconcentração de poluentes de lodo em laranjeiras.

bitstream/CNPMA/7430/1/comunicado_43.pd

Level IV fugacity model by a continuous time control system.

A continuos time dynamic control system of the "Level IV Fugacity Model" is presented and applied to selected organic chemicals in evaluative environments system. In order to illustrate the numerical solution by this model a discretization is used to calculate the fugacity, concentration and fugacity settling time for a set of three insecticides applied in a hypothetical three compartmental environmental system. The model employs the fugacity concept and treats three bulk compartments: air, water and bottom sediment. Input to the model consists of a description of the environmental, the physical-chemical and reaction properties of the chemical, and emission rates. Expressions in matrix form are included for emissions, advections, reactions, and inter-phase transference. An algorithm to determine the values of the fugacities, concentrations and fugacity settling time is given