气候变化领域集成服务门户(CCPortal): Detection of areas prone to wind erosion and air pollution using DSI and PDSI indices

CCPortal

DOI	10.1007/s11069-021-04728-3
	Detection of areas prone to wind erosion and air pollution using DSI and PDSI indices
	Jebali A.; Zare M.; Ekhtesasi M.R.; Jafari R.
发表日期	2021
ISSN	0921030X
起始页码	1221
结束页码	1235
卷号	108 期号:1
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. © 2021, The Author(s), under exclusive licence to Springer Nature B.V.
关键词	Arid lands Dust Haze Iran Visibility Weather code
英文关键词	Varanidae
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/206301
作者单位	School of Natural Resources & Desert Studies, Department of Arid Lands and Desert Management, Yazd University, Yazd, Iran; School of Natural Resources & Desert Studies, Department of Watershed, Yazd University, Yazd, Iran; Department of Natural Resources, Isfahan University of Technology, Isfahan, Iran
推荐引用方式 GB/T 7714	Jebali A.,Zare M.,Ekhtesasi M.R.,et al. Detection of areas prone to wind erosion and air pollution using DSI and PDSI indices[J],2021,108(1).
APA	Jebali A.,Zare M.,Ekhtesasi M.R.,&Jafari R..(2021).Detection of areas prone to wind erosion and air pollution using DSI and PDSI indices.Natural Hazards,108(1).
MLA	Jebali A.,et al."Detection of areas prone to wind erosion and air pollution using DSI and PDSI indices".Natural Hazards 108.1(2021).