气候变化领域集成服务门户(CCPortal): Analysis of the atmospheric dust in Africa: The breathable dust's fine particulate matter PM2.5 in correlation with carbon monoxide

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DOI	10.1016/j.atmosenv.2020.117319
	Analysis of the atmospheric dust in Africa: The breathable dust's fine particulate matter PM2.5 in correlation with carbon monoxide
	Rushingabigwi G.; Nsengiyumva P.; Sibomana L.; Twizere C.; Kalisa W.
发表日期	2020
ISSN	1352-2310
卷号	224
英文摘要	The dust has direct effects on people's health and climate change; so, this research studied the remotely sensed dust deposition in Africa from 1980 to 2018, and the dust's particulate matter of 2.5 μm size (or PM2.5), in particular, which pollutes the breathable air. PM2.5 is studied in comparison with multispectral carbon monoxide (CO), an abundant atmospheric air pollutant in central Africa. CO is an atmospheric gaseous pollutant for which the smoke, a gaseous aerosol from incomplete combustion processes, is the biggest source. The literature clarifies that both the particulate matter and the CO endanger human health while breathed in. The dust from the desert of Sahara is windblown all over the world. CO, in Africa, is from the anthropogenic fire and volcanic eruptions' smoke; these are two good reasons to have focused on Africa. Due to the big size of Africa, five sub-regions are set; these are the western, central, northern, eastern and southern sub-regions. The Goddard interactive online visualization and analysis infrastructure (GIOVANNI) has been a bridge to the collected remote sensing data, in this research. The data was collected online, from the measurement of pollution in the troposphere (MOPITT) as well as a second version of the modern era retrospective analysis for research and applications (MERRA-2); the analysis was done by a joint of the software tools, worth noting is the Arc GIS. As the amount of African dust dramatically increased by 2000; the heaviest in 2004, results are based on the selected dust deposition over 2000–2018: time-averaged maps, correlations, and quantitative estimations are reported in this research. The heaviest annual dust deposition reached 25.3 t/km2 over the year 2004, in Liberia, a focal point of study for the western sub-region. An important finding: the dust's PM2.5 positively correlated with multispectral CO from November to May; the positively high correlation coefficient was 0.86 in April 2018. The negative correlation between the two measurements started from June to October; the negatively high correlation was −0.68 in October 2015; this research discussed the possible reasons. This research recommends some onsite studies about the real figures and facts about the dust's effects on health, in all the seasons; thus, an alert to policymakers who would set some strategies to mitigate the dust hazards on the health of African inhabitants, neighbors, and visitors. © 2020 Elsevier Ltd
英文关键词	Africa; Air pollutants; Dust particulates; Wet and dry dust
语种	英语
scopus关键词	Application programs; Bridges; Carbon monoxide; Climate change; Data visualization; Deposition; Dust; Fog; Health; Health hazards; Particles (particulate matter); Remote sensing; Smoke; Volcanoes; Africa; Air pollutants; Atmospheric air pollutants; Dust particulates; Fine particulate matter; Quantitative estimation; Research and application; Wet and dry; Air pollution; carbon monoxide; aerosol; atmospheric pollution; carbon monoxide; combustion; particulate matter; public health; remote sensing; software; troposphere; visualization; volcanic eruption; Africa; air pollutant; Article; climate change; combustion; comparative study; correlation analysis; desert; dust; geographic information system; human; particulate matter; priority journal; remote sensing; surface property; troposphere; volcano; Liberia [West Africa]; Sahara
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/129596
作者单位	Department of Electrical and Electronic Engineering: Electronics and Telecommunication, University of Rwanda College of Science and Technology, Kigali, Rwanda; Department of Computer Science and Technology: Computer Applications in Remote Sensing, Qingdao University, Qingdao City, Shandong Province, China
推荐引用方式 GB/T 7714	Rushingabigwi G.,Nsengiyumva P.,Sibomana L.,et al. Analysis of the atmospheric dust in Africa: The breathable dust's fine particulate matter PM2.5 in correlation with carbon monoxide[J],2020,224.
APA	Rushingabigwi G.,Nsengiyumva P.,Sibomana L.,Twizere C.,&Kalisa W..(2020).Analysis of the atmospheric dust in Africa: The breathable dust's fine particulate matter PM2.5 in correlation with carbon monoxide.Atmospheric Environment,224.
MLA	Rushingabigwi G.,et al."Analysis of the atmospheric dust in Africa: The breathable dust's fine particulate matter PM2.5 in correlation with carbon monoxide".Atmospheric Environment 224(2020).