Dergiler / Atmospheric Pollution Research / 2020 / Cilt: 11 - Sayı: 7

Modification and validation of the Gaussian plume model (GPM) to predict ammonia and particulate matter dispersion

Sayfa
1063–1072
DOI
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

This new model can be applied to other experiments and will be useful in evaluating the effectiveness of mitigation strategies for air pollutant emissions.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Estimating the transport of ammonia and particulate matter (PM) from ventilation tunnel fans of poultry housesis needed to develop effective mitigation strategies.
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Temel Bulgular & Veri:Thefraction of predictions within a factor of two (FAC2) for both ammonia and PM observations was greatly improved compared with original model.
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Sonuç & Katkı:This new model can be applied to other experiments and will be useful in evaluating the effectiveness of mitigation strategies for air pollutant emissions.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Özet

Estimating the transport of ammonia and particulate matter (PM) from ventilation tunnel fans of poultry housesis needed to develop effective mitigation strategies. However, field measurements are time-consuming andcostly. Alternatively, air dispersion models can provide more information under a variety of conditions.Therefore, this study was conducted to modify and to validate the Gaussian plume model to predict poultryhouse plumes. The most notable modification was the addition of a virtual, emission-releasing point behind theexhaust tunnel fan. The modified model was validated using previously-reported field measurements. Thefraction of predictions within a factor of two (FAC2) for both ammonia and PM observations was greatly improved compared with original model. In addition, the model performance was not sensitive to different sampling scenarios. This new model can be applied to other experiments and will be useful in evaluating the effectiveness of mitigation strategies for air pollutant emissions.

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Bu Makaleye Atıf Yap

YANG, Z., YAO, Q., BUSER, M. D., ALFIERI, J. G., LI, H., TORRENTS, A., MCCONNELL, L. L., DOWNEY, P. M., HAPEMAN, C. J. (2020). Modification and validation of the Gaussian plume model (GPM) to predict ammonia and particulate matter dispersion. Atmospheric Pollution Research, Cilt: 11 - Sayı: 7, 1063–1072. https://ajindex.com/articles/351289

Kaynakça (5)

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  4. Belt, S.V., 2015. Plants Tolerant of Poultry Farm Emissions in the Chesapeake Bay Watershed; Maryland Plant Materials Final Report. USDA-NRCS Norman A, Berg National Plant Materials Center: Beltsville, MD Accessed March 20, 2020). https:// www.nrcs.usda.gov/Internet/FSE_PLANTMATERIALS/publications/mdpmcsr12671. pdf. Burkhardt, J., Flechard, C.R., Mattsson, M., Gresens, F., Jongejan, P.A., Erisman, J.W., Weidinger, T., Meszaros, R., Nemitz, E., Sutton, M.A., 2009. Modelling the dynamic chemical interactions of atmospheric ammonia with leaf surface wetness in a managed grassland canopy. Biogeosciences 6 (1), 67–84. Cambra-López, M., Torres, A.G., Aarnink, A.J., Ogink, N.W., 2011. Source analysis of fine and coarse particulate matter from livestock houses. Atmos. Environ. 45 (3), 694–707.
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