Analysis of the atmospheric dust in Africa: The breathable dust's fine particulate matter PM2.5 in correlation with carbon monoxide

被引:12
|
作者
Rushingabigwi, Gerard [1 ,2 ]
Nsengiyumva, Philibert [1 ]
Sibomana, Louis [1 ]
Twizere, Celestin [1 ]
Kalisa, Wilson [2 ]
机构
[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
关键词
Africa; Dust particulates; Wet and dry dust; Air pollutants; DESERT DUST; CLIMATE-CHANGE; PUBLIC-HEALTH; AIR-QUALITY; EMISSION; IMPACTS; SAHARA; STORM;
D O I
10.1016/j.atmosenv.2020.117319
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Hemolytic Properties of Fine Particulate Matter (PM2.5) in In Vitro Systems
    Bai, Jiahui
    Zhang, Mengyuan
    Shao, Longyi
    Jones, Timothy P.
    Feng, Xiaolei
    Huang, Man
    Berube, Kelly A.
    [J]. TOXICS, 2024, 12 (04)
  • [32] The relationship between fine particulate matter (PM2.5) and schizophrenia severity
    Eguchi, Rika
    Onozuka, Daisuke
    Ikeda, Kouji
    Kuroda, Kenji
    Ieiri, Ichiro
    Hagihara, Akihito
    [J]. INTERNATIONAL ARCHIVES OF OCCUPATIONAL AND ENVIRONMENTAL HEALTH, 2018, 91 (05) : 613 - 622
  • [33] The Relationship Between Ambient Atmospheric Fine Particulate Matter (PM2.5) and Glaucoma in a Large Community Cohort
    Chua, Sharon Y. L.
    Khawaja, Anthony P.
    Morgan, James
    Strouthidis, Nicholas
    Reisman, Charles
    Dick, Andrew D.
    Khaw, Peng T.
    Patel, Praveen J.
    Foster, Paul J.
    Atan, Denize
    Aslam, Tariq
    Barman, Sarah A.
    Barrett, Jenny H.
    Bishop, Paul
    Bunce, Catey
    Carare, Roxana O.
    Chakravarthy, Usha
    Chan, Michelle
    Crabb, David P.
    Day, Alexander
    Desai, Parul
    Dhillon, Bal
    Egan, Cathy
    Ennis, Sarah
    Fruttiger, Marcus
    Gallacher, John E. J.
    Garway-Heath, David F.
    Gibson, Jane
    Gore, Dan
    Guggenheim, Jeremy A.
    Hammond, Chris J.
    Hardcastle, Alison
    Harding, Simon P.
    Hogg, Ruth E.
    Hysi, Pirro
    Keane, Pearse A.
    Lascaratos, Gerassimos
    Lotery, Andrew J.
    Macgillivray, Tom
    Mackie, Sarah
    McGaughey, Michelle
    McGuinness, Bernadette
    McKay, Gareth J.
    McKibbin, Martin
    Moore, Tony
    Muthy, Zaynah A.
    O'Sullivan, Eoin
    Owen, Chris G.
    Paterson, Euan
    Peto, Tunde
    [J]. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2019, 60 (14) : 4915 - 4923
  • [34] Chemical characteristics and source apportionment of particulate matter (PM2.5) in Dammam, Saudi Arabia: Impact of dust storms
    Alwadei, Manna
    Srivastava, Deepchandra
    Alam, Mohammed S.
    Shi, Zongbo
    Bloss, William J.
    [J]. ATMOSPHERIC ENVIRONMENT-X, 2022, 14
  • [35] Correlation networks of air particulate matter (PM2.5): a comparative study
    Vlachogiannis, Dimitrios M.
    Xu, Yanyan
    Jin, Ling
    Gonzalez, Marta C.
    [J]. APPLIED NETWORK SCIENCE, 2021, 6 (01)
  • [36] Quantitative analysis on windblown dust concentrations of PM10 (PM2.5) during dust events in Mongolia
    Jugder, Dulam
    Shinoda, Masato
    Kimura, Reiji
    Batbold, Altangerel
    Amarjargal, Danzansambuu
    [J]. AEOLIAN RESEARCH, 2014, 14 : 3 - 13
  • [37] Analysis on Characteristics of PM2.5, PM10 and Dust Fall of Hohhot
    Sun, Shanshan
    Xie, Yunhu
    Liu, Junxiu
    Su, Rina
    Wang, Lin
    Xue, Fengna
    Hai, Chunxing
    [J]. 2015 INTERNATIONAL CONFERENCE ON CIVIL ENGINEERING AND ROCK ENGINEERING, ICCERE 2015, 2015, : 235 - 242
  • [38] Analysis of daily and seasonal variation of fine particulate matter (PM2.5) for five cities of China
    Maryum Javed
    Muzaffar Bashir
    Safeera Zaineb
    [J]. Environment, Development and Sustainability, 2021, 23 : 12095 - 12123
  • [39] A comparison of fine particulate matter (PM2.5) in vivo exposure studies incorporating chemical analysis
    Sidwell, Allie
    Smith, Samuel Cole
    Roper, Courtney
    [J]. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH-PART B-CRITICAL REVIEWS, 2022, 25 (08): : 422 - 444
  • [40] Maternal exposure to fine particulate matter (PM2.5) and pregnancy outcomes: a meta-analysis
    Zhu, Xiaoxia
    Liu, Ying
    Chen, Yanyan
    Yao, Cijiang
    Che, Zhen
    Cao, Jiyu
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2015, 22 (05) : 3383 - 3396