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Chemical and environmental factors affecting pesticide volatilization from turfgrass

Volatile loss rates of pesticides from turfgrass were measured using the Backward-Time
Lagrangian Stochastic Dispersion model (Flesch et al., 1995). Solar radiation, ambient
temperature, surface temperature, relative humidity, wind direction, and wind speed were
monitored continuously. Growth regulator was applied to the turf plot several days before
pesticide application to maintain a constant grass height and aerodynamic roughness length
during the experiment. No irrigation occurred following application. Pesticides were applied
as mixtures to allow direct comparison of evaporative loss. Mixtures studied were
chlorpyrifos + triadimefon + ethofumesate and triclopyr (acetic acid) + propiconazole +
cyfluthurin. Airborne flux estimates correlated with temperature, solar radiation, wind speed,
time, and vapor pressure of the active ingredient. A log vapor pressure vs. 1/Temperature (K)
relationship was observed between flux and surface temperature over a single day for most
pesticides. An exponential attenuation of flux was observed over a period of several days
and correlated with attenuation of dislodgeable surface residues for two of the pesticides.
A fugacity-based model for predicting initial evaporative loss rates from turf grass is
presented. Input parameters include pesticide vapor pressure, molecular diffusion coefficient,
surface temperature, wind speed profile, atmospheric stability, surface roughness, and
average upwind fetch. The GC retention method (Jensen, 1966) was used to estimate
pesticide vapor pressures over an environmentally relevant temperature range. The model
predicts fluxes that are an order of magnitude greater than measured values. This bias may
be due, in part, to deviation from the assumption of pesticide saturated vapor density at the
foliar surface. In addition, sensitivity analysis suggests improved estimates of leaf surface
temperature and pesticide vapor pressures have the greatest potential to improve model
performance. / Graduation date: 2003

Identiferoai:union.ndltd.org:ORGSU/oai:ir.library.oregonstate.edu:1957/32153
Date18 December 2002
CreatorsConway, Michael S.
ContributorsJenkins, Jeffrey J.
Source SetsOregon State University
Languageen_US
Detected LanguageEnglish
TypeThesis/Dissertation

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