Transport pathway identification and meteorological driving force spatial-temporal analysis of an extreme dust storm event on South Mongolian Plateau
文献类型：期刊论文
| 作者 | Wang, Meng1,2; Wang, Juanle1,2,3; Yu, Mingming4 |
| 刊名 | GEO-SPATIAL INFORMATION SCIENCE
 |
| 出版日期 | 2024-12-15 |
| 卷号 | N/A |
| 关键词 | Dust storm MODIS Mongolian plateau meteorology driving cause nature disaster |
| DOI | 10.1080/10095020.2024.2439390 |
| 产权排序 | 1 |
| 文献子类 | Article ; Early Access |
| 英文摘要 | Dust storms are destructive extreme weather events that are difficult to detect because of their large spatial distributions and temporal movement characteristics. The Mongolian Plateau is one of the most important dust sources and poses a serious threat to dust storm disasters in north-east Asia. Understanding the transboundary transport pathways and meteorological driving forces of dust is crucial for dust storm prevention and control. We selected one extreme dust storm event that occurred from 19th to 24th March 2023, in the southern Mongolian Plateau, identified its spatial-temporal transport pathways, and analyzed the impact of multiple meteorological components on dust storm occurrences. The daily distribution of dust storms was recognized firstly by using a normalized difference dust index supported by MOD09GA data. ERA-5 hourly data were used to analyze the spatiotemporal variations of meteorological components. By integrating data on the daily distribution of dust storms with the time-series trends of meteorological components, this study identified dewpoint temperature, air temperature, wind components, surface pressure, and precipitation as the key variables influencing the formation and propagation of dust storms. The results showed that dust storm occurrence is associated with a reduction in dewpoint temperature and increase in air dryness. Low-pressure systems are important precursors of dust storm formation, and strong winds drive their propagation and spread. The reversal of these meteorological trends reduces their intensity and extent, while increased precipitation at the end of a dust storm event helps settle dust. These findings provide crucial insights into the meteorological driving forces and predictability of dust storms on the Mongolian Plateau, and can be utilized in other geographical areas prone to dust storm. |
| WOS关键词 | KENDALL TREND TEST ; MANN-KENDALL ; CHINA ; SAND ; EMISSION ; AREA |
| WOS研究方向 | Remote Sensing |
| WOS记录号 | WOS:001379013600001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/210427]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Wang, Juanle |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing, Peoples R China 4.Beihang Univ, Sch Comp Sci & Engn, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Meng,Wang, Juanle,Yu, Mingming. Transport pathway identification and meteorological driving force spatial-temporal analysis of an extreme dust storm event on South Mongolian Plateau[J]. GEO-SPATIAL INFORMATION SCIENCE,2024,N/A. |
| APA | Wang, Meng,Wang, Juanle,&Yu, Mingming.(2024).Transport pathway identification and meteorological driving force spatial-temporal analysis of an extreme dust storm event on South Mongolian Plateau.GEO-SPATIAL INFORMATION SCIENCE,N/A. |
| MLA | Wang, Meng,et al."Transport pathway identification and meteorological driving force spatial-temporal analysis of an extreme dust storm event on South Mongolian Plateau".GEO-SPATIAL INFORMATION SCIENCE N/A(2024). |
入库方式： OAI收割
来源：地理科学与资源研究所
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