气候变化领域集成服务门户(CCPortal): Development of an infrared pollution index to identify ground-level compositional; particle size; and humidity changes using Himawari-8

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DOI	10.1016/j.atmosenv.2020.117435
	Development of an infrared pollution index to identify ground-level compositional; particle size; and humidity changes using Himawari-8
	Sowden M.; Blake D.; Cohen D.; Atanacio A.; Mueller U.
发表日期	2020
ISSN	13522310
卷号	229
英文摘要	Speciated air quality data informs health studies and quantitates impacts. However, monitoring is concentrated around populated regions whilst, large remote and rural regions remain unmonitored despite risks of dust-storms or wild-fires. Sub-hourly, infrared, geostationary data, such as the 10-min data from Himawari 8, could potentially be used to quantify regional air quality continually. Monitoring of Aerosol Optical Depth (AOD) is restricted to visible spectra (i.e. daytime only), while newer quantification methods using geostationary infrared (IR) data have focused on detecting the presence, or absence, of an event. Limited attention has been given to the determination of particle size and aerosol composition (such as sulfates, black carbon, sea-salt, and mineral dust), using IR exclusively, and more appropriate methods are required to improve the understanding of source impacts. Hourly data were collected for a three-year study period (July 2015 to July 2018) across the greater Sydney region in Eastern Australia from seventeen ground-based sites that measured meteorological data and quantified ambient concentrations of NO, NO2, SO2, PM2.5, PM10, and O3. This data was combined with source-apportioned categories (soil, sea-spray, smoke, secondary sulfates, and vehicles) from positive matrix factorization (PMF) of elemental aerosol collected on daily filters at five monitoring sites across the region. Regression analysis of five brightness temperature difference (BTD) infrared indices were used to determine a pollution index. The pollution index was shown to be related to humidity, particle size, and compositional changes. Unlike fixed thresholds, the continual index function can be aggregated spatially and temporarily. Good resolution is obtained between PM2.5 and O3. BTD appears insensitive to concentration, and the pollution index was used to detect and identify composition prior to determining concentration. © 2020 Elsevier Ltd
英文关键词	Aerosol; Ground-level concentration; Himawari-8; Infrared
语种	英语
scopus关键词	Aerosols; Air quality; Dust; Factorization; Particle size; Regression analysis; Smoke; Storms; Sulfur compounds; Aerosol optical depths; Ambient concentrations; Brightness temperature difference; Compositional changes; Meteorological data; Positive Matrix Factorization; Quantification methods; Regional air quality; Particle size analysis; black carbon; mineral; nitric oxide; nitrogen dioxide; ozone; sulfate; sulfur dioxide; aerosol; aerosol composition; air quality; atmospheric pollution; brightness temperature; concentration (composition); humidity; optical depth; particle size; pollution incidence; visible spectrum; aerosol; air pollution; air quality; Article; brightness; dust; dust storm; humidity; infrared radiation; particle size; particulate matter; pollution monitoring; priority journal; remote sensing; smoke; temperature; Sydney [New South Wales]
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/145106
作者单位	(ECU) School of Science, Edith Cowan University (ECU), 270 Joondalup Dr, Joondalup, Western Australia 6027, Australia; Centre for Ecosystem Management, School of Science, Edith Cowan University, Joondalup, Western Australia, Australia; Centre for Accelerator Science, ANSTO, New Illawarra Rd, Lucas HeightsNSW 2234, Australia
推荐引用方式 GB/T 7714	Sowden M.,Blake D.,Cohen D.,et al. Development of an infrared pollution index to identify ground-level compositional; particle size; and humidity changes using Himawari-8[J],2020,229.
APA	Sowden M.,Blake D.,Cohen D.,Atanacio A.,&Mueller U..(2020).Development of an infrared pollution index to identify ground-level compositional; particle size; and humidity changes using Himawari-8.Atmospheric Environment,229.
MLA	Sowden M.,et al."Development of an infrared pollution index to identify ground-level compositional; particle size; and humidity changes using Himawari-8".Atmospheric Environment 229(2020).