Arid
DOI10.1007/s12524-024-01890-6
Application of Remote Sensing and Spatial Fuzzy Multi-criteria Decision Analysis to Identify Potential Dust Sources in Lake Urmia Basin, Northwest Iran
Khachak, Saeid Hoseinzadeh; Rafieyan, Omid; Kamran, Khalil Valizadeh; Dalalian, Mohammadreza; Mohammadi, Gholam Hasan; Ghale, Yusuf Alizade Govarchin
通讯作者Kamran, KV
来源期刊JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
ISSN0255-660X
EISSN0974-3006
出版年2024
卷号52期号:9页码:2057-2071
英文摘要Air pollution as a result of desertification and dust transportation is one of the critical environmental challenges in the arid and semi-arid regions. Urmia Lake, the largest inland lake of Iran has lost most of its water over the past 2 decades. The lake bed is known as one of the aerosol pollution sources in the northwestern Iran. Although recent studies contributed to investigate the impacts of the drying up of Urmia Lake on the local and regional air quality, there is still a need to identify spatiotemporal aerosol pollution and dust generation sources in the study area. In this study, remote sensing techniques, fuzzy logic and Principal Component Analysis (PCA) were used to identify dust hot spots in the south and east parts of the Lake, where recent studies have highlighted the dramatic extent of salinization and desertification. Based on the results of this study, the lake's contribution to the local aerosol pollution declines with increasing distance from it. The results indicated that the potential of dust forming on the east side of the lake has increased, presenting a variety of challenges for inhabitants, including health and biological hazards. The fuzzy results have a high correlation with Electrical Conductivity (EC) (0.69), Aerosol Optical Depth (AOD) (0.46), and Leaf Area Index (0.45), respectively, while wind speed (0.22) and slope (0.24) have the lower correlation. The results of PCA indicate that AOD, Digital Elevation Model, and EC have the highest percentage in identifying dust generation sources among the effective parameters in determining dust production sources.
英文关键词Urmia Lake Desertification Air pollution Fuzzy logic Dust Remote sensing
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:001260427700003
WOS关键词ELEMENTAL COMPOSITION ; SATELLITE ; INDEX ; IDENTIFICATION ; DIFFERENCE ; DEPOSITION ; AEROSOLS ; SURFACE ; STORMS ; AREAS
WOS类目Environmental Sciences ; Remote Sensing
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/404734
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GB/T 7714
Khachak, Saeid Hoseinzadeh,Rafieyan, Omid,Kamran, Khalil Valizadeh,et al. Application of Remote Sensing and Spatial Fuzzy Multi-criteria Decision Analysis to Identify Potential Dust Sources in Lake Urmia Basin, Northwest Iran[J],2024,52(9):2057-2071.
APA Khachak, Saeid Hoseinzadeh,Rafieyan, Omid,Kamran, Khalil Valizadeh,Dalalian, Mohammadreza,Mohammadi, Gholam Hasan,&Ghale, Yusuf Alizade Govarchin.(2024).Application of Remote Sensing and Spatial Fuzzy Multi-criteria Decision Analysis to Identify Potential Dust Sources in Lake Urmia Basin, Northwest Iran.JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING,52(9),2057-2071.
MLA Khachak, Saeid Hoseinzadeh,et al."Application of Remote Sensing and Spatial Fuzzy Multi-criteria Decision Analysis to Identify Potential Dust Sources in Lake Urmia Basin, Northwest Iran".JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING 52.9(2024):2057-2071.
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