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Modeling the effect of VOCs from biomass burning emissions on ozone pollution in upper Southeast Asia

We used a Weather Research and Forecasting Model with Chemistry (WRF-CHEM) model that includes anthropogenic emissions from EDGAR-HTAP, biomass burning from FINN, and biogenic emissions from MEGAN to investigate the main volatile organic compound (VOC) ozone precursors during high levels of biomass...

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Detalles Bibliográficos
Autores principales: Amnuaylojaroen, Teerachai, Macatangay, Ronald C., Khodmanee, Suratsawadee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806393/
https://www.ncbi.nlm.nih.gov/pubmed/31692647
http://dx.doi.org/10.1016/j.heliyon.2019.e02661
Descripción
Sumario:We used a Weather Research and Forecasting Model with Chemistry (WRF-CHEM) model that includes anthropogenic emissions from EDGAR-HTAP, biomass burning from FINN, and biogenic emissions from MEGAN to investigate the main volatile organic compound (VOC) ozone precursors during high levels of biomass burning emissions in March 2014 over upper Southeast Asia. A comparison between the model and ground-based measurement data shows that the WRF-CHEM model simulates the precipitation and 2 m temperature reasonably well, with index of agreement (IOA) values ranging from 0.76 to 0.78. Further, the model predicts O(3), NO(2), and CO fairly well, with IOA values ranging from 0.50 to 0.57. However, the magnitude of the simulated NO(2) concentration was generally underestimated compared to OMI satellite observations. The model result shows that CO and VOCs such as BIGENE play an important role in atmospheric oxidation to surface O(3). In addition, biomass burning emissions are responsible for increasing surface O(3) by ∼1 ppmv and increasing the reaction rate of CO and BIGENE by approximately 0.5 × 10(6) and 1 × 10(6) molecules/cm(3)/s, respectively, in upper Southeast Asia.