Air Quality Impact of the Northern California Camp Fire of November 2018

doi:10.5194/acp-2020-541

GSTDTAP > 地球科学

DOI	10.5194/acp-2020-541
	Air Quality Impact of the Northern California Camp Fire of November 2018
	Brigitte Rooney, Yuan Wang, Jonathan H. Jiang, Bin Zhao, Zhao-Cheng Zeng, and John H. Seinfeld
	2020-07-08
发表期刊	Atmospheric Chemistry and Physics
出版年	2020
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 < 2.5 micrometers (PM_2.5) 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 PM_2.5, 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 PM_2.5 to over 70 µg m⁻³ for nearly two weeks, with localized peaks exceeding 300 µg m⁻³. Using the Visible Infrared Imaging Radiometer Suite (VIIRS) high resolution fire detection products, the simulations reproduce the magnitude and evolution of surface PM_2.5 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 PM_2.5 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 PM_2.5. Inclusion of aerosol radiative feedback moderately improves PM_2.5 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.
领域	地球科学
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文献类型	期刊论文
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/282657
专题	地球科学
推荐引用方式 GB/T 7714	Brigitte Rooney, Yuan Wang, Jonathan H. Jiang, Bin Zhao, Zhao-Cheng Zeng, and John H. Seinfeld. Air Quality Impact of the Northern California Camp Fire of November 2018[J]. Atmospheric Chemistry and Physics,2020.
APA	Brigitte Rooney, Yuan Wang, Jonathan H. Jiang, Bin Zhao, Zhao-Cheng Zeng, and John H. Seinfeld.(2020).Air Quality Impact of the Northern California Camp Fire of November 2018.Atmospheric Chemistry and Physics.
MLA	Brigitte Rooney, Yuan Wang, Jonathan H. Jiang, Bin Zhao, Zhao-Cheng Zeng, and John H. Seinfeld."Air Quality Impact of the Northern California Camp Fire of November 2018".Atmospheric Chemistry and Physics (2020).