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首页> 外文期刊>Integrated environmental assessment and management >Development of Groundwater Pesticide Exposure Modeling Scenarios for Vulnerable Spring and Winter Wheat-Growing Areas
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Development of Groundwater Pesticide Exposure Modeling Scenarios for Vulnerable Spring and Winter Wheat-Growing Areas

机译:脆弱的春小麦和冬小麦种植区地下水农药暴露模拟方案的开发

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摘要

Wheat crops and the major wheat-growing regions of the United States are not included in the 6 crop- and region-specificrnscenarios developed by the US Environmental Protection Agency (USEPA) for exposure modeling with the Pesticide Root ZonernModel conceptualized for groundwater (PRZM-GW). The present work augments the current scenarios by definingrnappropriately vulnerable PRZM-GW scenarios for high-producing spring and winter wheat-growing regions that arernappropriate for use in refined pesticide exposure assessments. Initial screening-level modeling was conducted for all wheatrnareas across the conterminous United States as defined by multiple years of the Cropland Data Layer land-use data set. Soil,rnweather, groundwater temperature, evaporation depth, and crop growth and management practices were characterized forrneach wheat area from publicly and nationally available data sets and converted to input parameters for PRZM. Approximatelyrn150 000 unique combinations of weather, soil, and input parameters were simulated with PRZM for an herbicide applied forrnpostemergence weed control in wheat. The resulting postbreakthrough average herbicide concentrations in a theoreticalrnshallow aquifer were ranked to identify states with the largest regions of relatively vulnerable wheat areas. For these states,rninput parameters resulting in near 90th percentile postbreakthrough average concentrations corresponding to significantrnwheat areas with shallow depth to groundwater formed the basis for 4 new spring wheat scenarios and 4 new winter wheatrnscenarios to be used in PRZM-GW simulations. Spring wheat scenarios were identified in North Dakota, Montana, Washington,rnand Texas. Winter wheat scenarios were identified in Oklahoma, Texas, Kansas, and Colorado. Compared to the USEPA’srnoriginal 6 scenarios, postbreakthrough average herbicide concentrations in the new scenarios were lower than all but FloridarnPotato and Georgia Coastal Peanuts of the original scenarios and better represented regions dominated by wheat crops.
机译:美国环境保护署(USEPA)为针对地下水概念化的农药根系区域模型(PRZM-GW)进行暴露建模而开发的6种针对特定作物和地区的情景中不包括美国的小麦作物和主要的小麦种植地区)。目前的工作通过为高产的春小麦和冬小麦种植地区定义适当脆弱的PRZM-GW情景来扩充当前情景,这些情景不适合用于精细农药暴露评估。根据多年耕地数据层土地利用数据集的定义,对整个美国本土的所有小麦地区进行了初步筛选级建模。从公开和全国可得的数据集中,对每个小麦地区的土壤,天气,地下水温度,蒸发深度以及作物生长和管理实践进行了表征,并将其转换为PRZM的输入参数。用PRZM模拟了约15万个独特的天气,土壤和输入参数组合,用于除草剂在小麦出苗前除草。对理论上浅层含水层中产生的突破性除草剂后平均浓度进行了排名,以确定小麦相对易受害地区面积最大的州。对于这些状态,输入参数导致接近突破的平均浓度的第90个百分点,对应于深度较浅的地下水的重要小麦区域,构成了PRZM-GW模拟中使用的4种新的春小麦方案和4种新的冬小麦方案的基础。在北达科他州,蒙大纳州,华盛顿州和德克萨斯州确定了春小麦情景。在俄克拉荷马州,德克萨斯州,堪萨斯州和科罗拉多州确定了冬小麦情景。与USEPA的原始6种情景相比,新情景中突破性除草剂的平均除草剂浓度低于原始情景中除FloridarnPotato和Georgia Coastal Peanuts以外的所有情景,且代表性较好的地区是小麦作物。

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