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北非沙尘暴和尘卷风扬尘的综合研究。

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

机构信息

Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China; Zhoushan Meteorological Bureau, Zhoushan 316000, China.

Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China.

出版信息

Sci Total Environ. 2021 Feb 20;756:144128. doi: 10.1016/j.scitotenv.2020.144128. Epub 2020 Nov 26.

Abstract

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 spatio-temporal 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 Bodélé Depression; 3) Dust devils occur 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.

摘要

北非的尘埃气溶胶占全球总量的>50%;然而,尘埃排放区仍不清楚。基于数值天气预报(WRF)模型、卫星气溶胶指数(AI)和 20 年来 300 个气象站观测的尘埃数据模拟的沙尘暴分析,比较和分析了沙尘暴、尘卷风和 AI 的时空分布特征。结果表明:1)有两种尘埃排放机制:动力主导的沙尘暴和热力主导的尘卷风;2)沙尘暴最常发生在春季,集中在西大沙漠到切赫沙漠、东大沙漠的北部、阿图拉沙漠到瓦尔讷沙漠、地中海沿岸、努比亚沙漠东侧和博德莱洼地;3)尘卷风最常发生在 4 月至 8 月,主要集中在北非中部,特别是在阿加迪尔山脉西部到比尔马高原的豪加尔山脉西南部、埃及-苏丹-利比亚边界地区和提贝斯提高原附近;4)AI 的时空分布与尘卷风的排放更为相关,而沙尘暴和尘卷风的年平均贡献分别为 61.3%和 38.7%。本研究发现了尘卷风的一个新的尘埃排放区,为北非 AI 的时空分布提供了更好的解释。

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