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DOI	10.1016/j.atmosenv.2020.117260
	Apportioning prescribed fire impacts on PM2.5 among individual fires through dispersion modeling
	Huang R.; Qin M.; Hu Y.; Russell A.G.; Odman M.T.
发表日期	2020
ISSN	13522310
卷号	223
英文摘要	Prescribed burning is a prominent source of PM2.5 in the southeastern U.S. An air quality forecasting system called HiRes2 currently serves most areas in the southeastern U.S. to forecast PM2.5 concentrations one day in advance, including the impact of forecast prescribed burning activity. The output prescribed fire impact from the HiRes2 forecasting system is the combined impact of all the fires in the domain. When there are many fires close to each other, it is difficult to distinguish the ones that are more likely to lead to air quality issues. A novel source apportionment method, Dispersive Apportionment of Source Impacts (DASI), has been developed and applied to split the combined prescribed fire impact obtained from a chemical transport model (CTM) by using simulated fields from a dispersion model. Comparisons of apportioned fire impacts with single burn impacts simulated directly by the CTM show that DASI works well with large and small fires that do not have too much interaction with other fires. Individual fire impacts obtained by splitting the combined fire impacts from CTMs could help local land and air quality managers to evaluate which burns should be allowed or restricted based on their individual impacts on air quality and public health in areas of concern. © 2020 Elsevier Ltd
英文关键词	Air quality management; CMAQ-DDM; Emission contribution; Fire activity; HYSPLIT; Source attribution
学科领域	Air quality; Dispersions; Forecasting; Quality management; Air quality forecasting; Air quality managers; Chemical transport models; CMAQ-DDM; Fire activity; HYSPLIT; Source apportionment; Source attribution; Fires; air quality; atmospheric modeling; comparative study; dispersion; emission; forecasting method; human activity; particulate matter; pollution effect; prescribed burning; source apportionment; air quality; article; controlled study; fire; forecasting; human; manager; prescribed burning; public health; simulation; United States
语种	英语
scopus关键词	Air quality; Dispersions; Forecasting; Quality management; Air quality forecasting; Air quality managers; Chemical transport models; CMAQ-DDM; Fire activity; HYSPLIT; Source apportionment; Source attribution; Fires; air quality; atmospheric modeling; comparative study; dispersion; emission; forecasting method; human activity; particulate matter; pollution effect; prescribed burning; source apportionment; air quality; article; controlled study; fire; forecasting; human; manager; prescribed burning; public health; simulation; United States
来源期刊	Atmospheric Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/120768
作者单位	School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States; Hangzhou AiMa Technologies Inc., Hangzhou, Zhejiang, China; School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
推荐引用方式 GB/T 7714	Huang R.,Qin M.,Hu Y.,et al. Apportioning prescribed fire impacts on PM2.5 among individual fires through dispersion modeling[J],2020,223.
APA	Huang R.,Qin M.,Hu Y.,Russell A.G.,&Odman M.T..(2020).Apportioning prescribed fire impacts on PM2.5 among individual fires through dispersion modeling.Atmospheric Environment,223.
MLA	Huang R.,et al."Apportioning prescribed fire impacts on PM2.5 among individual fires through dispersion modeling".Atmospheric Environment 223(2020).