4.7 Article

Integrative investigation of dust emissions by dust storms and dust devils in North Africa

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 756, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2020.144128

关键词

Dust storm; Dust devil; North Africa; WRF model; Dust emission

资金

  1. National Natural Science Foundation of China [41875176]
  2. U.S. Department of Energy's Atmospheric System Research (ASR) program

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Dust aerosols in North Africa contribute to over 50% of the global total, with dust emissions coming from dust storms and dust devils. Dust storms are most frequent in Spring, while dust devils are mainly concentrated in the central part of North Africa.
Dust aerosols in North Africa account for >50% of the global total: however dust emission areas are still unclear. Based on the analysis of dust storms simulated with the numerical Weather Research and Forecast (WRF) model, satellite aerosol index (AI), and the dust data observed at 300 meteorological stations over 20 years, the spatiotemporal distribution characteristics of dust storm, dust devil and AI are compared and analyzed. The results show that: 1) There are two dust emission mechanisms: the dynamically-dominated dust storm and thermally-dominated dust devil; 2) Dust storms occur most frequently in Spring and are concentrated in the areas of Grand Erg Occidental Desert to the Erg Chech-Adrar Desert, the northern part of Grand Erg Oriental, the Atouila Desert to the Ouarane Desert, the Mediterranean coast, the eastern side of Nubian Desert and Bodele Depression; 3) Dust devils ocatr most frequently from April to August and are mainly concentrated in the central part of North Africa, especially in the southwest of Hoggar Mountains to the west of Air Mountains, the border area of Egypt - Sudan - Libya and the vicinity of Tibesti Plateau; 4) The spatio-temporal distribution of AI is correlated more with the dust devils emission whereas the annual average contributions by dust storms and dust devils are 61.3% and 38.7%, respectively. This study discovers a new area of dust emissions by dust devils, and provides a better explanation for the spatio-temporal distribution of AI in North Africa. (C) 2020 Elsevier B.V. All rights reserved.

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