Arid
DOI10.1016/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, Gerard1,2; Nsengiyumva, Philibert1; Sibomana, Louis1; Twizere, Celestin1; Kalisa, Wilson2
通讯作者Rushingabigwi, Gerard
来源期刊ATMOSPHERIC ENVIRONMENT
ISSN1352-2310
EISSN1873-2844
出版年2020
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 mu m 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/km(2) 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.
英文关键词Africa Dust particulates Wet and dry dust Air pollutants
类型Article
语种英语
国家Rwanda ; Peoples R China
收录类别SCI-E
WOS记录号WOS:000525865300031
WOS关键词DESERT DUST ; CLIMATE-CHANGE ; PUBLIC-HEALTH ; AIR-QUALITY ; EMISSION ; IMPACTS ; SAHARA ; STORM
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/314149
作者单位1.Univ Rwanda, Dept Elect & Elect Engn Elect & Telecommun, Coll Sci & Technol, Kigali, Rwanda;
2.Qingdao Univ, Dept Comp Sci & Technol Comp Applicat Remote Sens, Qingdao, Shandong, Peoples R China
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Rushingabigwi, Gerard,Nsengiyumva, Philibert,Sibomana, Louis,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, Gerard,Nsengiyumva, Philibert,Sibomana, Louis,Twizere, Celestin,&Kalisa, Wilson.(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, Gerard,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).
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