Empirical model to assess leaching of pesticides in soil under a steady-state flow and tropical conditions

An empirical model of leaching of pesticides was developed to simulate the concentration of fungicides throughout unsaturated soil. The model was based on chemical reactions and the travel time of a conservative tracer to represent the travel time required for water to flow between soil layers. The...

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Veröffentlicht in:International journal of environmental science and technology (Tehran) 2024, Vol.21 (2), p.1301-1320
Hauptverfasser: Mosquera-Vivas, C. S., Celis-Ossa, R. E., González-Murillo, C. A., Obregón-Neira, N., Martínez-Cordón, M. J., Guerrero-Dallos, J. A., García-Santos, G.
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Sprache:eng
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Zusammenfassung:An empirical model of leaching of pesticides was developed to simulate the concentration of fungicides throughout unsaturated soil. The model was based on chemical reactions and the travel time of a conservative tracer to represent the travel time required for water to flow between soil layers. The model’s performance was then tested using experimental data from dimethomorph and pyrimethanil applied to the soil under field and laboratory conditions. The empirical model simulated fungicide concentration on soil solids and in soil solution at different depths over time (mean square error between 2.9 mg 2  kg −2 and 61mg 2  kg −2 ) using sorption percentages and degradation rates under laboratory conditions. The sorption process was affected by the organic carbon, clay, and the effective cation exchange capacity of the soil. The degradation rate values of dimethomorph (0.039 d −1 –0.009 d −1 ) and pyrimethanil (0.053 d −1 –0.004 d −1 ) decreased from 0 to 40 cm and then remained constant in deeper soil layers (60–80 cm). Fungicide degradation was a critical input in the model at subsurface layers. The model was determined to be a reliable mathematical tool to estimate the leachability of pesticides in tropical soil under a steady-state flow. It may be extended to other substances and soils for environmental risk assessment projects. Graphical abstract
ISSN:1735-1472
1735-2630
DOI:10.1007/s13762-023-05038-w