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DOI	10.5194/acp-23-3083-2023
	Impacts of estimated plume rise on PM2.5 exceedance prediction during extreme wildfire events: a comparison of three schemes (Briggs, Freitas, and Sofiev)
	Li, Yunyao; Tong, Daniel; Ma, Siqi; Freitas, Saulo R.; Ahmadov, Ravan; Sofiev, Mikhail; Zhang, Xiaoyang; Kondragunta, Shobha; Kahn, Ralph; Tang, Youhua; Baker, Barry; Campbell, Patrick; Saylor, Rick; Grell, Georg; Li, Fangjun
发表日期	2023
ISSN	1680-7316
EISSN	1680-7324
起始页码	3083
结束页码	3101
卷号	23 期号:5 页码:19
英文摘要	Plume height plays a vital role in wildfire smoke dispersion and the subsequent effects on air quality and human health. In this study, we assess the impact of different plume rise schemes on predicting the dispersion of wildfire air pollution and the exceedances of the National Ambient Air Quality Standards (NAAQS) for fine particulate matter (PM2.5) during the 2020 western United States wildfire season. Three widely used plume rise schemes (Briggs, 1969; Freitas et al., 2007; Sofiev et al., 2012) are compared within the Community Multiscale Air Quality (CMAQ) modeling framework. The plume heights simulated by these schemes are comparable to the aerosol height observed by the Multi-angle Imaging SpectroRadiometer (MISR) and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO). The performance of the simulations with these schemes varies by fire case and weather conditions. On average, simulations with higher plume injection heights predict lower aerosol optical depth (AOD) and surface PM2.5 concentrations near the source region but higher AOD and PM2.5 in downwind regions due to the faster spread of the smoke plume once ejected. The 2-month mean AOD difference caused by different plume rise schemes is approximately 20 %-30 % near the source regions and 5 %-10 % in the downwind regions. Thick smoke blocks sunlight and suppresses photochemical reactions in areas with high AOD. The surface PM2.5 difference reaches 70 % on the West Coast of the USA, and the difference is lower than 15 % in the downwind regions. Moreover, the plume injection height affects pollution exceedance (> 35 mu gm(-3)) predictions. Higher plume heights generally produce larger downwind PM2.5 exceedance areas. The PM2.5 exceedance areas predicted by the three schemes largely overlap, suggesting that all schemes perform similarly during large wildfire events when the predicted concentrations are well above the exceedance threshold. At the edges of the smoke plumes, however, there are noticeable differences in the PM2.5 concentration and predicted PM2.5 exceedance region. For the whole period of study, the difference in the total number of exceedance days could be as large as 20 d in northern California and 4 d in the downwind regions. This disagreement among the PM2.5 exceedance forecasts may affect key decision-making regarding early warning of extreme air pollution episodes at local levels during large wildfire events.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000946221500001
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/273000
作者单位	George Mason University; George Mason University; National Oceanic Atmospheric Admin (NOAA) - USA; Instituto Nacional de Pesquisas Espaciais (INPE); University of Colorado System; University of Colorado Boulder; National Oceanic Atmospheric Admin (NOAA) - USA; Finnish Meteorological Institute; South Dakota State University; National Oceanic Atmospheric Admin (NOAA) - USA; National Aeronautics & Space Administration (NASA); NASA Goddard Space Flight Center
推荐引用方式 GB/T 7714	Li, Yunyao,Tong, Daniel,Ma, Siqi,et al. Impacts of estimated plume rise on PM2.5 exceedance prediction during extreme wildfire events: a comparison of three schemes (Briggs, Freitas, and Sofiev)[J],2023,23(5):19.
APA	Li, Yunyao.,Tong, Daniel.,Ma, Siqi.,Freitas, Saulo R..,Ahmadov, Ravan.,...&Li, Fangjun.(2023).Impacts of estimated plume rise on PM2.5 exceedance prediction during extreme wildfire events: a comparison of three schemes (Briggs, Freitas, and Sofiev).ATMOSPHERIC CHEMISTRY AND PHYSICS,23(5),19.
MLA	Li, Yunyao,et al."Impacts of estimated plume rise on PM2.5 exceedance prediction during extreme wildfire events: a comparison of three schemes (Briggs, Freitas, and Sofiev)".ATMOSPHERIC CHEMISTRY AND PHYSICS 23.5(2023):19.