title: Development of groundwater pesticide exposure modeling scenarios for vulnerable spring and winter wheat-growing areas.
abstract: Wheat crops and the major wheat-growing regions of the United States are not included in the 6 crop- and region-specific scenarios developed by the US Environmental Protection Agency (USEPA) for exposure modeling with the Pesticide Root Zone Model conceptualized for groundwater (PRZM-GW). The present work augments the current scenarios by defining appropriately vulnerable PRZM-GW scenarios for high-producing spring and winter wheat-growing regions that are appropriate for use in refined pesticide exposure assessments. Initial screening-level modeling was conducted for all wheat areas across the conterminous United States as defined by multiple years of the Cropland Data Layer land-use data set. Soil, weather, groundwater temperature, evaporation depth, and crop growth and management practices were characterized for each wheat area from publicly and nationally available data sets and converted to input parameters for PRZM. Approximately 150 000 unique combinations of weather, soil, and input parameters were simulated with PRZM for an herbicide applied for postemergence weed control in wheat. The resulting postbreakthrough average herbicide concentrations in a theoretical shallow aquifer were ranked to identify states with the largest regions of relatively vulnerable wheat areas. For these states, input parameters resulting in near 90thpercentile postbreakthrough average concentrations corresponding to significant wheat areas with shallow depth to groundwater formed the basis for 4 new spring wheat scenarios and 4 new winter wheat scenarios to be used in PRZM-GW simulations. Spring wheat scenarios were identified in North Dakota, Montana, Washington, and Texas. Winter wheat scenarios were identified in Oklahoma, Texas, Kansas, and Colorado. Compared to the USEPA's original 6 scenarios, postbreakthrough average herbicide concentrations in the new scenarios were lower than all but Florida Potato and Georgia Coastal Peanuts of the original scenarios and better represented regions dominated by wheat crops. Integr Environ Assess Manag 2017;13:992-1006. © 2017 The Authors. Integrated Environmental Assessment and Management Published by Wiley Periodicals, Inc. on behalf of Society of Environmental Toxicology & Chemistry (SETAC).
authors.affiliation: Stone Environmental, Montpelier, Vermont, USA.
authors.forename: Lauren
authors.initials: L
authors.lastname: Padilla
authors.affiliation: Stone Environmental, Montpelier, Vermont, USA.
authors.forename: Michael
authors.initials: M
authors.lastname: Winchell
authors.affiliation: Syngenta Crop Protection, Greensboro, North Carolina, USA.
authors.forename: Natalia
authors.initials: N
authors.lastname: Peranginangin
authors.affiliation: Syngenta Crop Protection, Greensboro, North Carolina, USA.
authors.forename: Shanique
authors.initials: S
authors.lastname: Grant
mesh_terms: D000383:Agriculture; D004781:Environmental Exposure / Q000706:statistics & numerical data*; D060587:Groundwater / Q000737:chemistry*; D010575:Pesticides / Q000032:analysis*; D012621:Seasons; D012987:Soil / Q000737:chemistry; D014908:Triticum; D014481:United States; D014874:Water Pollutants, Chemical / Q000032:analysis*; D014877:Water Pollution, Chemical / Q000706:statistics & numerical data*
chemical_list: D010575:Pesticides; D012987:Soil; D014874:Water Pollutants, Chemical
keywords: Exposure modeling; Groundwater; Pesticide Root Zone Model for Groundwater (PRZM-GW); Pesticide use; Wheat crops