DOI: 10.1007/s11069-021-04728-3
论文题名: Detection of areas prone to wind erosion and air pollution using DSI and PDSI indices
作者: Jebali A. ; Zare M. ; Ekhtesasi M.R. ; Jafari R.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2021
卷: 108, 期: 1 起始页码: 1221
结束页码: 1235
语种: 英语
中文关键词: Arid lands
; Dust
; Haze
; Iran
; Visibility
; Weather code
英文关键词: Varanidae
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. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/169100
Appears in Collections: 气候变化与战略
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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
Recommended Citation:
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]. Natural Hazards,2021-01-01,108(1)