气候变化领域集成服务门户(CCPortal): Air quality impact of the Northern California Camp Fire of November 2018

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DOI	10.5194/acp-20-14597-2020
	Air quality impact of the Northern California Camp Fire of November 2018
	Rooney B.; Wang Y.; H. Jiang J.; Zhao B.; Zeng Z.-C.; H. Seinfeld J.
发表日期	2020
ISSN	1680-7316
起始页码	14597
结束页码	14616
卷号	20 期号:23
英文摘要	The Northern California Camp Fire that took place in November 2018 was one of the most damaging environmental events in California history. Here, we analyze ground-based station observations of airborne particulate matter that has a diameter <2.5um (PM2.5) across Northern California and conduct numerical simulations of the Camp Fire using the Weather Research and Forecasting model online coupled with chemistry (WRF-Chem). Simulations are evaluated against ground-based observations of PM2.5, black carbon, and meteorology, as well as satellite measurements, such as Tropospheric Monitoring Instrument (TROPOMI) aerosol layer height and aerosol index. The Camp Fire led to an increase in Bay Area PM2.5 to over 50ug m-3 for nearly 2 weeks, with localized peaks exceeding 300ug m-3. Using the Visible Infrared Imaging Radiometer Suite (VIIRS) high-resolution fire detection products, the simulations reproduce the magnitude and evolution of surface PM2.5 concentrations, especially downwind of the wildfire. The overall spatial patterns of simulated aerosol plumes and their heights are comparable with the latest satellite products from TROPOMI. WRF-Chem sensitivity simulations are carried out to analyze uncertainties that arise from fire emissions, meteorological conditions, feedback of aerosol radiative effects on meteorology, and various physical parameterizations, including the planetary boundary layer model and the plume rise model. Downwind PM2.5 concentrations are sensitive to both flaming and smoldering emissions over the fire, so the uncertainty in the satellite-derived fire emission products can directly affect the air pollution simulations downwind. Our analysis also shows the importance of land surface and boundary layer parameterization in the fire simulation, which can result in large variations in magnitude and trend of surface PM2.5. Inclusion of aerosol radiative feedback moderately improves PM2.5 simulations, especially over the most polluted days. Results of this study can assist in the development of data assimilation systems as well as air quality forecasting of health exposures and economic impact studies. © Author(s) 2020.
英文关键词	aerosol; air quality; atmospheric pollution; concentration (composition); data assimilation; numerical method; particulate matter; spatial data; VIIRS; wildfire; California; United States
语种	英语
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/168933
作者单位	Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Pacific Northwest National Laboratory, Richland, WA, United States; Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, CA, United States; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, United States
推荐引用方式 GB/T 7714	Rooney B.,Wang Y.,H. Jiang J.,et al. Air quality impact of the Northern California Camp Fire of November 2018[J],2020,20(23).
APA	Rooney B.,Wang Y.,H. Jiang J.,Zhao B.,Zeng Z.-C.,&H. Seinfeld J..(2020).Air quality impact of the Northern California Camp Fire of November 2018.Atmospheric Chemistry and Physics,20(23).
MLA	Rooney B.,et al."Air quality impact of the Northern California Camp Fire of November 2018".Atmospheric Chemistry and Physics 20.23(2020).