Primary (particulate) drift has been a subject of evaluation by regulatory agencies due to offsite movement of agriculture use pesticides that may have the potential to adversely affect ecosystems and human health.  Similarly, methods have been developed to address fumigant pesticide transport that that occurs by vaporization, often termed as secondary drift.  Advanced fumigant drift modeling requires a geospatial, temporal/calendar-based human bystander exposure construct to characterize concentrations of vapor in ambient air as a function of distance from multiple and intermittent application events during seasonal use.  A stochastic, data-informed (e.g., product use, time-activity, meteorology,) spatial and temporal analysis is presented for 1,3-dichloropropene (1,3-D is used as a pre-plant nematicide in numerous economically important crops) demonstrating advances in dose-response and exposure assessment, including 1) characterization of a toxicological threshold; 2) the use of residency duration and mobility data in communities with high demand for 1,3-D; 3) air modeling data using a validated air dispersion model (SOFEA) that provides detailed information on spatial and temporal variation in air concentrations of 1,3-D; 4) the use of age-cohort (life stage-specific) physiological factors; and 5) predictions of potential human health risk from possible long-term exposures.

Spatial and temporal modeling of potential residential bystander exposures associated with the use of agricultural chemicals

256th National Meeting (2018)

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