干旱区生态环境知识资源中心(Arid): Understanding Haze: Modeling Size-Resolved Mineral Aerosol from Satellite Remote Sensing

Arid

DOI	10.3390/rs14030761
	Understanding Haze: Modeling Size-Resolved Mineral Aerosol from Satellite Remote Sensing
	Sanwlani, Nivedita; Das, Reshmi
通讯作者	Sanwlani, N (corresponding author)，Nanyang Technol Univ, Satellite Remote Sensing Ctr, Singapore 639798, Singapore.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2022
卷号	14 期号:3
英文摘要	Mineral dust aerosols are composed of a complex mixture of silicates, carbonates, oxides, and sulfates. The minerals' chemical composition and size distribution are vital parameters to evaluate dust environmental impacts. However, the quantification of minerals remains a challenge due to the sparse in situ measurements of dust samples. Here we derive the size-resolved mineralogical composition of airborne dust aerosols from MODIS (Terra and Aqua) satellite-acquired optical measurements and compare it with chemically analyzed elemental (Al, Fe, Ca, Mg) concentrations of aerosols for PM2.5 and PM10 from Chonburi, Chiang Rai, and Bangkok in Thailand, and from Singapore. MODIS-derived mineral retrievals exhibited high correlations with elemental concentrations with R-2 >= 0.84 for PM2.5 and >= 0.96 for PM10. High mineral dust activity was detected in the vicinity of biomass-burning areas with gypsum and calcite exhibiting tracer characteristics of combustion. The spatiotemporal pattern of the MODIS-derived minerals matched with Ozone Monitoring Instrument (OMI)-derived dust, sulfates, and carbonaceous aerosols, indicating the model's consistency. Variation in aerosol loading by +/- 90% led to deviation in the mineral concentration by <10%. An uncertainty of 6.4% between AERONET-measured and MODIS-derived AOD corresponds to a < +/- 2% uncertainty in MODIS-derived mineral concentration, demonstrating the robustness of the model.
英文关键词	mineral dust aerosol aerosol size distribution MODIS OMI AERONET Southeast Asia biomass burning
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000755519200001
WOS关键词	REFRACTIVE-INDEX ; RADIATIVE PROPERTIES ; CHEMICAL-PROPERTIES ; OPTICAL DEPTH ; DESERT DUST ; MODIS ; IMPACTS ; CALCITE ; OMI ; CLIMATOLOGY
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/376415
作者单位	[Sanwlani, Nivedita] Nanyang Technol Univ, Satellite Remote Sensing Ctr, Singapore 639798, Singapore; [Das, Reshmi] Jadavpur Univ, Sch Environm Studies, Kolkata 700032, India; [Das, Reshmi] Nanyang Technol Univ, Earth Observ Singapore, Singapore 639798, Singapore
推荐引用方式 GB/T 7714	Sanwlani, Nivedita,Das, Reshmi. Understanding Haze: Modeling Size-Resolved Mineral Aerosol from Satellite Remote Sensing[J],2022,14(3).
APA	Sanwlani, Nivedita,&Das, Reshmi.(2022).Understanding Haze: Modeling Size-Resolved Mineral Aerosol from Satellite Remote Sensing.REMOTE SENSING,14(3).
MLA	Sanwlani, Nivedita,et al."Understanding Haze: Modeling Size-Resolved Mineral Aerosol from Satellite Remote Sensing".REMOTE SENSING 14.3(2022).