气候变化领域集成服务门户(CCPortal): Impact of wildfires on particulate matter in the Euro-Mediterranean in 2007: Sensitivity to some parameterizations of emissions in air quality models

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DOI	10.5194/acp-19-785-2019
	Impact of wildfires on particulate matter in the Euro-Mediterranean in 2007: Sensitivity to some parameterizations of emissions in air quality models
	Majdi M.; Turquety S.; Sartelet K.; Legorgeu C.; Menut L.; Kim Y.
发表日期	2019
ISSN	16807316
起始页码	785
结束页码	812
卷号	19 期号:2
英文摘要	This study examines the uncertainties on air quality modeling associated with the integration of wildfire emissions in chemistry-transport models (CTMs). To do so, aerosol concentrations during the summer of 2007, which was marked by severe fire episodes in the Euro- Mediterranean region especially in the Balkans (20-31 July, 24-30 August 2007) and Greece (24-30 August 2007), are analyzed. Through comparisons to observations from surface networks and satellite remote sensing, we evaluate the abilities of two CTMs, Polyphemus/Polair3D and CHIMERE, to simulate the impact of fires on the regional particulate matter (PM) concentrations and optical properties. During the two main fire events, fire emissions may contribute up to 90% of surface PM 2:5 concentrations in the fire regions (Balkans and Greece), with a significant regional impact associated with long-range transport. Good general performances of the models and a clear improvement of PM 2:5 and aerosol optical depth (AOD) are shown when fires are taken into account in the models with high correlation coefficients. Two sources of uncertainties are specifically analyzed in terms of surface PM 2:5 concentrations and AOD using sensitivity simulations: Secondary organic aerosol (SOA) formation from intermediate and semi-volatile organic compounds (I/S-VOCs) and emissions' injection heights. The analysis highlights that surface PM 2:5 concentrations are highly sensitive to injection heights (with a sensitivity that can be as high as 50% compared to the sensitivity to I/S-VOC emissions which is lower than 30 %). However, AOD which is vertically integrated is less sensitive to the injection heights (mostly below 20 %) but highly sensitive to I/S-VOC emissions (with sensitivity that can be as high as 40 %). The maximum statistical dispersion, which quantifies uncertainties related to fire emission modeling, is up to 75% for PM 2:5 in the Balkans and Greece, and varies between 36% and 45% for AOD above fire regions. The simulated number of daily exceedance of World Health Organization (WHO) recommendations for PM 2:5 over the considered region reaches 30 days in regions affected by fires and ∼ 10 days in fire plumes, which is slightly underestimated compared to available observations. The maximum statistical dispersion (σ) on this indicator is also large (with σ reaching 15 days), showing the need for better understanding of the transport and evolution of fire plumes in addition to fire emissions. © Author(s) 2019.
语种	英语
scopus关键词	aerosol; air quality; concentration (composition); emission; optical depth; particulate matter; wildfire; Balkan; Greece; Turkmenistan
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/144710
作者单位	CEREA: Joint Laboratory École des Ponts ParisTech - EdF RandD, Université Paris-Est, Champs-sur-Marne, 77455, France; Laboratoire de Métérologie Dynamique (LMD)-IPSL, Sorbonne Université, Ecole Polytechnique, Paris, France
推荐引用方式 GB/T 7714	Majdi M.,Turquety S.,Sartelet K.,et al. Impact of wildfires on particulate matter in the Euro-Mediterranean in 2007: Sensitivity to some parameterizations of emissions in air quality models[J],2019,19(2).
APA	Majdi M.,Turquety S.,Sartelet K.,Legorgeu C.,Menut L.,&Kim Y..(2019).Impact of wildfires on particulate matter in the Euro-Mediterranean in 2007: Sensitivity to some parameterizations of emissions in air quality models.Atmospheric Chemistry and Physics,19(2).
MLA	Majdi M.,et al."Impact of wildfires on particulate matter in the Euro-Mediterranean in 2007: Sensitivity to some parameterizations of emissions in air quality models".Atmospheric Chemistry and Physics 19.2(2019).