Abstract 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.

中文翻译：

---

非洲大气粉尘分析：可呼吸粉尘细颗粒物PM2.5与一氧化碳的相关性

摘要 粉尘对人们的健康和气候变化具有直接影响；因此，本研究研究了 1980 年至 2018 年非洲遥感尘埃沉积，特别是污染可呼吸空气的 2.5 μm 大小（或 PM2.5）的尘埃颗粒物。PM2.5 与多光谱一氧化碳 (CO) 进行了比较研究，一氧化碳 (CO) 是中部非洲一种丰富的大气污染物。CO 是一种大气气态污染物，其最大来源是烟气（一种来自不完全燃烧过程的气溶胶）。文献阐明，颗粒物和一氧化碳在吸入时都会危害人类健康。撒哈拉沙漠的灰尘被风吹到了全世界。CO，在非洲，来自人为火灾和火山喷发的烟雾；这是将重点放在非洲的两个很好的理由。由于非洲幅员辽阔，设置了五个分区；它们是西部、中部、北部、东部和南部次区域。在这项研究中，戈达德交互式在线可视化和分析基础设施 (GIOVANNI) 已成为收集遥感数据的桥梁。数据是在线收集的，来自对流层污染测量 (MOPITT) 以及现代研究和应用回顾性分析的第二版 (MERRA-2)；分析是由软件工具的联合完成的，值得注意的是 Arc GIS。到 2000 年，非洲灰尘的数量急剧增加；2004 年最重，结果基于 2000-2018 年选定的沙尘沉积：时间平均图、相关性、本研究报告了定量估计。2004 年在利比里亚，西部次区域的研究重点，最大的年尘沉降量达到了 25.3 吨/平方公里。一个重要发现：11月至5月粉尘的PM2.5与多光谱CO呈正相关；2018 年 4 月的正相关系数为 0.86。两次测量之间的负相关从 6 月到 10 月开始；2015 年 10 月的负高相关为 -0.68；这项研究讨论了可能的原因。这项研究建议对所有季节灰尘对健康影响的真实数据和事实进行一些现场研究；因此，向决策者发出警报，他们将制定一些策略以减轻灰尘对非洲居民、邻居和游客健康的危害。