Impact of downwind sampling location and height on inverse-Gaussian dispersion modeling: A theoretical study

Authors

  • Heather W Jones Department of Biological and Agricultural Engineering, North Carolina State University
  • Lingjuan Wang-Li Department of Biological and Agricultural Engineering, North Carolina State University
  • Behdad Yazdani Boroujeni Department of Biological and Agricultural Engineering, North Carolina State University

DOI:

https://doi.org/10.25165/ijabe.v5i4.582

Keywords:

animal feeding operations, Gaussian dispersion modeling, downwind distance, downwind sampling location, downwind sampling height

Abstract

In the studies of fate and transport of air emissions from animal feeding operations, Gaussian based dispersion models have been commonly used to predict downwind pollutant concentrations through forward modeling approach, or to derive emission rates and emission factors through inverse dispersion modeling approach. In the Gaussian dispersion modeling process, downwind sampling location and sampling height could generate significant impact on accuracy of the model validation, or inverse modeling results based upon field measurements. This study theoretically analyzed the impact of downwind locations and sampling height on Gaussian dispersion modeling. It was discovered that the field sampling needs to be conducted at the locations beyond the plume touching-ground distance, at a downwind distance as short as 5 m for the case scenario with zero rise of emission plume under the atmospheric stability class C, or as long as 297 m for the case scenario with 15 m rise of emission plume under the atmospheric stability class F. In order to measure the PM concentrations of the dispersion plume, the minimum sampling height at the locations within the plume touching-ground distance varied from ground level to as high as almost 14 m, whereas for the locations beyond the plume touching-ground distance, a sampling height of ground level would be acceptable.

Author Biographies

Heather W Jones, Department of Biological and Agricultural Engineering, North Carolina State University

undergraduate research assistant, Department of Mathematics, Meredith College, Raleigh, NC 27607 & Department of Civil, Constuction and Enviromental Engineering, North Carolina State University, Raleigh, NC27695, USA

Lingjuan Wang-Li, Department of Biological and Agricultural Engineering, North Carolina State University

Associate Professor, Department of Biological and Agricultural Engineering, North Carolina State University. 186 Weaver Labs, Campus Box 7625, NCSU, Raleigh, NC 27695-7625. Tel: (919) 515-6762; Fax: (919) 515-7760

Behdad Yazdani Boroujeni, Department of Biological and Agricultural Engineering, North Carolina State University

Department of Civil, Constuction and Enviromental Engineering, North Carolina State University, Raleigh, NC27695

References

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Published

2012-12-11

How to Cite

Jones, H. W., Wang-Li, L., & Boroujeni, B. Y. (2012). Impact of downwind sampling location and height on inverse-Gaussian dispersion modeling: A theoretical study. International Journal of Agricultural and Biological Engineering, 5(4), 39–46. https://doi.org/10.25165/ijabe.v5i4.582

Issue

Section

Structures and Bio-environmental Engineering