气候变化领域集成服务门户(CCPortal): Dust storm susceptibility on different land surface types in arid and semiarid regions of northern China

CCPortal

DOI	10.1016/j.atmosres.2020.105031
	Dust storm susceptibility on different land surface types in arid and semiarid regions of northern China
	Liu Y.; Wang G.; Hu Z.; Shi P.; Lyu Y.; Zhang G.; Gu Y.; Liu Y.; Hong C.; Guo L.; Hu X.; Yang Y.; Zhang X.; Zheng H.; Liu L.
发表日期	2020
ISSN	0169-8095
卷号	243
英文摘要	Dust storm originates from arid and semiarid areas and could cause worldwide lasting effects along varying trajectories. As an extreme weather hazard, dust storm is usually induced by strong winds. In this paper, an aerodynamic parameter, defined as the ratio between dust storm frequency (DSF) and strong wind frequency (SWF), was calculated for quantifying dust storm susceptibility (DSS). The characteristic value and temporal change of DSS in five typical land surface areas, including cultivated land, grassland, sand desert, Gobi desert, and salt crust, were analyzed with dust storm and strong wind records at 15 weather stations. The spatial distribution of DSS in the arid and semiarid regions of northern China was described using dust storm and strong wind records at 102 meteorological stations. There are positive correlations between SWF and DSF for any identical land surface type. Land surface conditions have a great influence on dust storm susceptibility. According to DSS value, the five land surface types can be divided into two categories: (1) Cultivated land and sand desert, with DSS between 0.64 and 0.53, about 2.6–10 times higher than that of the other three land surfaces, are prone to forming dust storm under strong wind conditions; (2) Gobi desert, grassland and salt crust, with average DSS from 0.06 to 0.2, exhibit lower probability of dust storm occurrence under strong wind conditions. The DSF in the surrounding areas of the arid Taklimakan desert in Xinjiang are much larger than SWF, and dust storms take place readily even at normal erosive wind conditions. The areas with high DSF are not spatially consistent with SWF distribution but more coincide with high DSS areas where sand deserts and farmland are concentrated. In the nearly four past decades, the DSS showed an overall increasing trend on different ground surfaces which may be related to local human activities and climatic warming. © 2020
英文关键词	Dust storm; Land surface; Strong wind; Susceptibility of dust storm occurrence
语种	英语
scopus关键词	Arid regions; Dust; Land use; Landforms; Meteorological problems; Surface measurement; Aerodynamic parameters; Arid and semi-arid areas; Arid and semi-arid regions; Characteristic value; Land surface conditions; Lower probabilities; Meteorological station; Positive correlations; Storms; aerodynamics; arid region; desert; dust storm; land surface; semiarid region; wind forcing; China; Gobi Desert; Taklimakan Desert; Xinjiang Uygur
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/141874
作者单位	Key Laboratory of Environment Change and Natural Disaster, Beijing Normal University, Beijing, 100875, China; State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China; Academy of Disaster Reduction and Emergency Management, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China; Institute of desertification, Chinese Academy of Forestry Sciences, Huaishuju Rd 10, Beijing, Haidian District 100091, China; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China
推荐引用方式 GB/T 7714	Liu Y.,Wang G.,Hu Z.,et al. Dust storm susceptibility on different land surface types in arid and semiarid regions of northern China[J],2020,243.
APA	Liu Y..,Wang G..,Hu Z..,Shi P..,Lyu Y..,...&Liu L..(2020).Dust storm susceptibility on different land surface types in arid and semiarid regions of northern China.Atmospheric Research,243.
MLA	Liu Y.,et al."Dust storm susceptibility on different land surface types in arid and semiarid regions of northern China".Atmospheric Research 243(2020).