干旱区生态环境知识资源中心(Arid): A new application of multi-criteria decision making in identifying critical dust sources and comparing three common receptor-based models

Arid

DOI	10.1016/j.scitotenv.2021.152109
	A new application of multi-criteria decision making in identifying critical dust sources and comparing three common receptor-based models
	Dehshiri, Seyyed Shahabaddin Hosseini; Firoozabadi, Bahar; Afshin, Hossein
通讯作者	Firoozabadi, B (corresponding author)，Sharif Univ Technol, Dept Mech Engn, Tehran, Iran.
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
ISSN	0048-9697
EISSN	1879-1026
出版年	2022
卷号	808
英文摘要	Dust storms are a common phenomenon in arid and semi-arid regions in West Asia, which has led to high levels of PM10 in local and remote area. The Yazd city in Iran with a high PM10 level located downstream of dust sources in the Middle East and Central Asia. In this study, based on meteorological and PM10 monitoring data, backward trajectory modeling of air parcels related to dust events at Yazd station was performed using the Hyspur model in 2012-2019. The trajectory cluster analysis was used to identify the main dust transport pathways and wind systems. Three methods of Cross-referencing Backward Trajectory (CBT), Potential Source Contribution Function (PSCF) and Concentration Weighted Trajectory (CWT) were used to identify the most critical dust sources. Multi-Criteria Decision Making (MCDM) methods were also used to integrate the results. Nine dust sources affecting central Iran were determined, and six criteria from different aspects were considered. To prioritize the dust sources affecting central Iran from four new MCDM methods, including WASPAS, FDAS, ARAS and TOPSIS were used. The results showed that the Lever wind system (51%), the Shama! wind system (32%) and the Prefrontal wind system (18%) were the most important wind systems to cause dust events in central Iran. The MCDM approach to identify dust sources also showed that Dasht-e-Kavir in central Iran was the most critical dust source. The results also showed that in hot seasons (spring and summer), local and Central Asia dust sources and cold seasons (autumn and winter), Middle East dust sources have the greatest impact on dust events in central Iran. Also, a comparison of common receptor-based methods for identifying dust sources showed that CBT, CWT and PSG: were the most appropriate methods for identifying dust sources, respectively.
英文关键词	Potential source contribution function Yazd Multi-criteria decision making Concentration weighted trajectory Cross referencing backward trajectory Trajectory cluster analysis
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000740227700016
WOS关键词	NORTH-AFRICA ; MIDDLE-EAST ; HYDROGEN PROJECTS ; SOURCE REGIONS ; WIND ENERGY ; WEST ASIA ; IDENTIFICATION ; TRANSPORT ; STORMS ; TRAJECTORIES
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/376921
作者单位	[Dehshiri, Seyyed Shahabaddin Hosseini; Firoozabadi, Bahar; Afshin, Hossein] Sharif Univ Technol, Dept Mech Engn, Tehran, Iran
推荐引用方式 GB/T 7714	Dehshiri, Seyyed Shahabaddin Hosseini,Firoozabadi, Bahar,Afshin, Hossein. A new application of multi-criteria decision making in identifying critical dust sources and comparing three common receptor-based models[J],2022,808.
APA	Dehshiri, Seyyed Shahabaddin Hosseini,Firoozabadi, Bahar,&Afshin, Hossein.(2022).A new application of multi-criteria decision making in identifying critical dust sources and comparing three common receptor-based models.SCIENCE OF THE TOTAL ENVIRONMENT,808.
MLA	Dehshiri, Seyyed Shahabaddin Hosseini,et al."A new application of multi-criteria decision making in identifying critical dust sources and comparing three common receptor-based models".SCIENCE OF THE TOTAL ENVIRONMENT 808(2022).