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Modeling pesticide volatilization from turf
Douglas A Haith1, Po-Ching Lee, J Marshall Clark
1Biological and Environ. Eng., Cornell Univ., Ithaca, NY 14853, USA. dah13@cornell.edu
Journal of Environmental Quality
|May 25, 2002
Summary
This study presents a new model for pesticide volatilization from turf, adapting water evaporation principles. The model offers conservative estimates, explaining 67% of observed pesticide loss variations.
Area of Science:
- Environmental Chemistry
- Agricultural Science
- Ecotoxicology
Background:
- Traditional pesticide volatilization models rely on soil equilibrium partitioning, which is unsuitable for turf systems.
- Direct vaporization from vegetation surfaces is a significant but complex source of pesticide loss in turf.
- Equilibrium methods face challenges in plant material due to uncertainties in solid-liquid-gas partitioning.
Purpose of the Study:
- To develop and validate an alternative model for pesticide volatilization from turfgrass.
- To adapt principles of water evaporation for predicting chemical vaporization from vegetation.
- To assess the model's accuracy in estimating pesticide losses under field conditions.
Main Methods:
- A novel model was developed, adjusting evapotranspiration values (Penman equation) for chemical vaporization.
- The model incorporates ratios of water and chemical vapor pressures and latent heats of vaporization.
- First-order degradation kinetics of pesticides on turf vegetation were assumed and integrated.
Main Results:
- Field experiments measured volatilization fluxes ranging from 0.1% to 22% of applied pesticide.
- The model provided conservative estimates, with predicted mean losses exceeding observations by 20%.
- The model successfully explained 67% of the observed variation in pesticide volatilization fluxes.
Conclusions:
- The developed model offers a viable alternative for estimating pesticide volatilization from turf.
- Model accuracy was highest for pesticides with greater volatilization losses.
- The findings support using water evaporation principles to predict pesticide behavior in turf systems.