PMID- 34875318
OWN - NLM
STAT- MEDLINE
DCOM- 20220114
LR  - 20220114
IS  - 1879-1026 (Electronic)
IS  - 0048-9697 (Linking)
VI  - 808
DP  - 2022 Feb 20
TI  - A new application of multi-criteria decision making in identifying critical dust 
      sources and comparing three common receptor-based models.
PG  - 152109
LID - S0048-9697(21)07185-0 [pii]
LID - 10.1016/j.scitotenv.2021.152109 [doi]
AB  - Dust storms are a common phenomenon in arid and semi-arid regions in West Asia, 
      which has led to high levels of PM(10) in local and remote area. The Yazd city in 
      Iran with a high PM(10) level located downstream of dust sources in the Middle 
      East and Central Asia. In this study, based on meteorological and PM(10) 
      monitoring data, backward trajectory modeling of air parcels related to dust 
      events at Yazd station was performed using the HYSPLIT 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, EDAS, ARAS 
      and TOPSIS were used. The results showed that the Levar wind system (51%), the 
      Shamal 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 PSCF were the most appropriate methods for 
      identifying dust sources, respectively.
CI  - Copyright (c) 2021 Elsevier B.V. All rights reserved.
FAU - Hosseini Dehshiri, Seyyed Shahabaddin
AU  - Hosseini Dehshiri SS
AD  - Department of Mechanical Engineering, Sharif University of Technology, Tehran, 
      Iran. Electronic address: hosseini.ssa@mech.sharif.edu.
FAU - Firoozabadi, Bahar
AU  - Firoozabadi B
AD  - Department of Mechanical Engineering, Sharif University of Technology, Tehran, 
      Iran. Electronic address: firoozabadi@sharif.edu.
FAU - Afshin, Hossein
AU  - Afshin H
AD  - Department of Mechanical Engineering, Sharif University of Technology, Tehran, 
      Iran. Electronic address: afshin@sharif.edu.
LA  - eng
PT  - Journal Article
DEP - 20211204
PL  - Netherlands
TA  - Sci Total Environ
JT  - The Science of the total environment
JID - 0330500
RN  - 0 (Air Pollutants)
RN  - 0 (Dust)
RN  - 0 (Particulate Matter)
SB  - IM
MH  - *Air Pollutants/analysis
MH  - Decision Making
MH  - *Dust/analysis
MH  - Environmental Monitoring
MH  - Particulate Matter/analysis
MH  - Seasons
MH  - Wind
OTO - NOTNLM
OT  - Concentration weighted trajectory
OT  - Cross referencing backward trajectory
OT  - Multi-criteria decision making
OT  - Potential source contribution function
OT  - Trajectory cluster analysis
OT  - Yazd
COIS- Declaration of competing interest The authors declare that they have no known 
      competing financial interests or personal relationships that could have appeared 
      to influence the work reported in this paper.
EDAT- 2021/12/08 06:00
MHDA- 2022/01/15 06:00
CRDT- 2021/12/07 20:13
PHST- 2021/08/24 00:00 [received]
PHST- 2021/11/12 00:00 [revised]
PHST- 2021/11/27 00:00 [accepted]
PHST- 2021/12/08 06:00 [pubmed]
PHST- 2022/01/15 06:00 [medline]
PHST- 2021/12/07 20:13 [entrez]
AID - S0048-9697(21)07185-0 [pii]
AID - 10.1016/j.scitotenv.2021.152109 [doi]
PST - ppublish
SO  - Sci Total Environ. 2022 Feb 20;808:152109. doi: 10.1016/j.scitotenv.2021.152109. 
      Epub 2021 Dec 4.