干旱区生态环境知识资源中心(Arid): Detection of areas prone to wind erosion and air pollution using DSI and PDSI indices

Arid

DOI	10.1007/s11069-021-04728-3
	Detection of areas prone to wind erosion and air pollution using DSI and PDSI indices
	Jebah, Atefeh; Zare, Mohammad; Ekhtesasi, Mohammad Reza; Jafari, Reza
通讯作者	Zare, M (corresponding author), Yazd Univ, Sch Nat Resources & Desert Studies, Dept Arid Lands & Desert Management, Yazd, Iran.
来源期刊	NATURAL HAZARDS
ISSN	0921-030X
EISSN	1573-0840
出版年	2021
英文摘要	Many significant dust storms have occurred in the Central part of Iran since ancient times. Recently, the frequency and intensity of such events have increased remarkably, especially in hyper-arid and arid zones of Yazd province. Under these conditions, it is necessary to address several notable challenges, including methods of detecting the potential sites for wind erosion and dust storms and degree of success in reducing air pollution and dust storms. Thus, this study utilized weather codes of dust to monitor wind erosion and dust storm frequency in Yazd province, Iran. The study also defined a new appropriate index to evaluate air pollution in terms of different dust events. A new dust storm index for air pollution (PDSI) introduces to monitor air pollution. Daily dust storm index (DSI) is another empirical model to study dust storm activities. Weather codes associated with dust events were used at 11 synoptic stations in the Yazd province during 2000-2017. PDSI assessment using meteorological code 06 and hourly scale is used as the main tools for evaluating air pollution. Evaluation of dust weather codes using different weights performed to properly analyze wind erosion and air pollution status at different spatial and temporal scales. Yazd station had the highest amount of air pollution (105.9). Meybod had the highest amount of wind erosion (9.76) with a significant potential to occur dust storm. Assessment of the DSI and PDSI indicates a significant increase (about ten times) in wind erosion and air pollution in recent years. Poor land management and the existence of outdoor dust haze are the main causes of the terrible increase in air pollution during 2008-2017. It is recommended to promote sustainable industrial development and reduce the negative impacts of mining activities in regions with medium to severe air pollution.
英文关键词	Dust Haze Weather code Visibility Arid lands Iran
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000639068000001
WOS类目	Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS研究方向	Geology ; Meteorology & Atmospheric Sciences ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/352402
作者单位	[Jebah, Atefeh; Zare, Mohammad] Yazd Univ, Sch Nat Resources & Desert Studies, Dept Arid Lands & Desert Management, Yazd, Iran; [Ekhtesasi, Mohammad Reza] Yazd Univ, Sch Nat Resources & Desert Studies, Dept Watershed, Yazd, Iran; [Jafari, Reza] Isfahan Univ Technol, Dept Nat Resources, Esfahan, Iran
推荐引用方式 GB/T 7714	Jebah, Atefeh,Zare, Mohammad,Ekhtesasi, Mohammad Reza,et al. Detection of areas prone to wind erosion and air pollution using DSI and PDSI indices[J],2021.
APA	Jebah, Atefeh,Zare, Mohammad,Ekhtesasi, Mohammad Reza,&Jafari, Reza.(2021).Detection of areas prone to wind erosion and air pollution using DSI and PDSI indices.NATURAL HAZARDS.
MLA	Jebah, Atefeh,et al."Detection of areas prone to wind erosion and air pollution using DSI and PDSI indices".NATURAL HAZARDS (2021).