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Interpretation and estimation for dynamic mobility of chlorpyrifos in soils containing different organic matters. | LitMetric

Interpretation and estimation for dynamic mobility of chlorpyrifos in soils containing different organic matters.

Environ Geochem Health

School of Applied Biosciences, College of Agriculture and Life Sciences, Kyungpook National University, Daegu, 702-701, Republic of Korea.

Published: December 2015

AI Article Synopsis

  • This study analyzed how the organophosphate insecticide chlorpyrifos interacts with two soils that differ in organic matter content, focusing on its adsorption and removal over time.
  • The AS soil, which has a higher organic matter content, showed a stronger ability to adsorb chlorpyrifos compared to the GW soil, although the rate of removal in both soils was similar up to 90 days.
  • A chemical-specific residue model created from the experimental data accurately predicted chlorpyrifos residues in the soil, providing useful estimates for potential plant uptake, showing a strong correlation with actual measurements.

Article Abstract

The adsorption and removal behaviors of the organophosphate insecticide chlorpyrifos in two soils (AS and GW soils) with different organic matter contents were investigated to predict the dynamic residues in the soil environment. The adsorption test showed that the chlorpyrifos adsorptive power for the AS soil containing high organic matter content was greater than that for the GW soil. The extent of the time-dependent removal of chlorpyrifos in the tested soils was not significantly different except at 90 days after the treatment. The availability of a chemical-specific residue model developed in this study was statistically assessed to estimate the chlorpyrifos residue in soil solutions that could be absorbed into plants. The values modeled using the soil experimental data were satisfactory, having a mean deviation of 32% from the measured data. The correlation between the modeled and measured data was acceptable, with mean coefficients of correlation (R(2)) of 0.89. Furthermore, the average of the residual error was low at 0.43, which corresponded to a mean factor of -1.9. The developed model could be used as a critical tool to predict the subsequent plant uptake of chlorpyrifos.

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Source
http://dx.doi.org/10.1007/s10653-015-9721-0DOI Listing

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