干旱区生态环境知识资源中心(Arid): Spatiotemporal variations and long term trends analysis of aerosol optical depth over the United Arab Emirates

Arid

DOI	10.1016/j.rsase.2021.100532
	Spatiotemporal variations and long term trends analysis of aerosol optical depth over the United Arab Emirates
	Abuelgasim, Abdelgadir; Bilal, Muhammad; Alfaki, Ibrahim Abdalla
通讯作者	Bilal, M (corresponding author), Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Nanjing 210044, Peoples R China.
来源期刊	REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT
ISSN	2352-9385
出版年	2021
卷号	23
英文摘要	This research provides a comprehensive long term time series analysis of the spatiotemporal variability of aerosol optical depth (AOD) over the United Arab Emirates (UAE) using MODIS (Moderate-resolution imaging spectroradiometer) MAIAC (Multi-Angle Implementation of Atmospheric Correction) AOD (aerosol optical depth) product for the period 2003-2018. The UAE is located in one of the driest places on earth, the Arabian Peninsula, with two large extended desert regions that form major atmospheric dust sources in the world. The atmospheric dust emitted by these vast deserts is transported locally and regionally and it is the primary major contributor to the overall aerosol optical depth in this area. The investigation of the spatiotemporal trends of AOD over the UAE showed a significant obvious annual seasonal variability. Results showed a significant increase in AOD during summer due to high wind speed, resulting in scattered events of small to large scale haboobs within the study area, high temperature, and high relative humidity. The increased humidity levels are due to increased temperatures in the summer season leading to significant evaporation from the neighbouring water bodies (mainly the Arabian Gulf and the Sea of Oman) leading to a significant increase in water vapour levels in the atmosphere. Summar AOD values during the study period ranged between 0.42 - 0.73. The second highest AOD was observed in spring followed by winter. Spring AOD values ranged between 0.33-0.58 and winter values ranged between 0.25 - 0.41. The spatial distributions of AOD showed higher values over the coastal and desert areas. Coastal areas portrayed higher values as well likely due to the high levels of evaporation and increased anthropogenic activities such as coastal urban developments and automobile pollution. Time series analysis of the multitemporal dataset confirmed the SARIMA forecast model as the best fit which can be used to provide an accurate and reliable monthly forecast for the AOD concentrations in the UAE.
英文关键词	Aerosol optical depth Spatial variability Temporal variability Aerosols Arid regions
类型	Article
语种	英语
开放获取类型	hybrid
收录类别	ESCI
WOS记录号	WOS:000686906300001
WOS关键词	RETRIEVAL ALGORITHM ; AIR-POLLUTION ; SAUDI-ARABIA ; MODIS ; AOD ; AERONET ; VARIABILITY ; PRODUCTS ; EXPOSURE ; CLIMATE
WOS类目	Environmental Sciences ; Remote Sensing
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing
来源机构	南京信息工程大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/364495
作者单位	[Abuelgasim, Abdelgadir] United Arab Emirates Univ, Dept Geog & Urban Sustainabil, Coll Humanities & Social Sci, Natl Water & Energy Ctr, Abu Dhabi 15551, U Arab Emirates; [Bilal, Muhammad] Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Nanjing 210044, Peoples R China; [Alfaki, Ibrahim Abdalla] United Arab Emirates Univ, Dept Analyt Digital Era, Coll Business & Econ, Abu Dhabi 15551, U Arab Emirates
推荐引用方式 GB/T 7714	Abuelgasim, Abdelgadir,Bilal, Muhammad,Alfaki, Ibrahim Abdalla. Spatiotemporal variations and long term trends analysis of aerosol optical depth over the United Arab Emirates[J]. 南京信息工程大学,2021,23.
APA	Abuelgasim, Abdelgadir,Bilal, Muhammad,&Alfaki, Ibrahim Abdalla.(2021).Spatiotemporal variations and long term trends analysis of aerosol optical depth over the United Arab Emirates.REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT,23.
MLA	Abuelgasim, Abdelgadir,et al."Spatiotemporal variations and long term trends analysis of aerosol optical depth over the United Arab Emirates".REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT 23(2021).