Prediction of Agricultural Contaminant Concentrations in Ambient Air

S. Cryer, I. Wesenbeeck
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引用次数: 1

Abstract

Monitoring ambient air to assess environmental exposure and risk for volatile agricultural chemicals requires extensive resources and logistical effort. The cost and technical limitations of monitoring can be mitigated using a validated air dispersion model to simulate concentrations of volatile organic chemicals in ambient air. The SOil Fumigant Exposure Assessment (SOFEA) model was developed to explore volatile pesticide exposure and bystander risk. SOFEA assembles sources and source strengths, uses weather data from the region of interest, and executes an air dispersion model (AERMOD, ISCST3) to simulate pesticide concentrations at user defined receptors that can be used in exposure and risk assessment. This work highlights SOFEA development from inception and modifications over the last 1.5 decades, to the current delivery within the public domain. Various examples for the soil fumigant 1,3-dichloropropene are provided.
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环境空气中农业污染物浓度的预测
监测环境空气以评估挥发性农业化学品的环境暴露和风险需要大量的资源和后勤工作。使用经过验证的空气扩散模型来模拟环境空气中挥发性有机化学品的浓度,可以减轻监测的成本和技术限制。建立土壤熏蒸剂暴露评估(SOFEA)模型,探讨挥发性农药暴露和旁观者风险。SOFEA收集源和源强度,使用感兴趣地区的天气数据,并执行空气扩散模型(AERMOD, ISCST3)来模拟可用于暴露和风险评估的用户定义受体的农药浓度。这项工作突出了过去15年的SOFEA开发,从开始和修改,到目前在公共领域的交付。提供了土壤熏蒸剂1,3-二氯丙烯的各种实例。
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