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Prediction of Agricultural Contaminant Concentrations in Ambient Air

In: Atmospheric Air Pollution and Monitoring

Author

Listed:
  • Steven Cryer
  • Ian Van Wesenbeeck

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.

Suggested Citation

  • Steven Cryer & Ian Van Wesenbeeck, 2020. "Prediction of Agricultural Contaminant Concentrations in Ambient Air," Chapters, in: Abderrahim A.L Lakhouit (ed.), Atmospheric Air Pollution and Monitoring, IntechOpen.
    • Handle: RePEc:ito:pchaps:191674
    DOI: 10.5772/intechopen.86091
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    File URL: https://www.intechopen.com/chapters/66951
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    More about this item

    Keywords

    air dispersion modeling; SOil Fumigant Exposure Assessment tool (SOFEA); AMS/EPA Regulatory Model (AERMOD); 1; 3-dichropropene; Gaussian plume;
    All these keywords.

    JEL classification:

    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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