AEROsol generic classification using a novel Satellite remote sensing Approach (AEROSA)

被引:12
作者
Bilal, Muhammad [1 ]
Ali, Md. Arfan [1 ]
Nichol, Janet E. [2 ]
Bleiweiss, Max P. [3 ]
de Leeuw, Gerrit [4 ,5 ,6 ]
Mhawish, Alaa [1 ]
Shi, Yuan [7 ]
Mazhar, Usman [8 ]
Mehmood, Tariq [9 ]
Kim, Jhoon [10 ]
Qiu, Zhongfeng [1 ]
Qin, Wenmin [11 ]
Nazeer, Majid [12 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Nanjing, Peoples R China
[2] Univ Sussex, Sch Global Studies, Dept Geog, Brighton, England
[3] New Mexico State Univ, Dept Entomol, Plant Pathol & Weed Sci, Las Cruces, NM USA
[4] Royal Netherlands Meteorol Inst KNMI, R&D Satellite Observat, De Bilt, Netherlands
[5] Chinese Acad Sci AirCAS, Aerosp Informat Res Inst, Beijing, Peoples R China
[6] Univ Min & Technol, Sch Environm Sci & Spatial Informat, Xuzhou, Jiangsu, Peoples R China
[7] Univ Liverpool, Sch Environm Sci, Dept Geog & Planning, Liverpool, England
[8] Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomatics Engn, Nanjing, Peoples R China
[9] Hainan Univ, Coll Ecol & Environm, Haikou, Hainan, Peoples R China
[10] Yonsei Univ, Dept Atmospher Sci, Seoul, Seoul, South Korea
[11] China Univ Geosci, Sch Geog & Informat Engn, Hunan Key Lab Remote Sensing Ecol Environm Dongtin, Wuhan, Peoples R China
[12] Management Serv Unit Pvt Ltd, Urban Sect Policy, Lahore, Pakistan
关键词
MODIS; AERONET; AOD; Angstrom exponent; aerosol types; classification; biomass burning; dust particles; MULTIPLE CLUSTERING-TECHNIQUES; OPTICAL-PROPERTIES; ANGSTROM EXPONENT; SIZE DISTRIBUTION; RADIATIVE PROPERTIES; RETRIEVAL ALGORITHM; MODIS; DEPTH; AERONET; VARIABILITY;
D O I
10.3389/fenvs.2022.981522
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Numerous studies (hereafter GA: general approach studies) have been made to classify aerosols into desert dust (DD), biomass-burning (BB), clean continental (CC), and clean maritime (CM) types using only aerosol optical depth (AOD) and Angstrom exponent (AE). However, AOD represents the amount of aerosol suspended in the atmospheric column while the AE is a qualitative indicator of the size distribution of the aerosol estimated using AOD measurements at different wavelengths. Therefore, these two parameters do not provide sufficient information to unambiguously classify aerosols into these four types. Evaluation of the performance of GA classification applied to AErosol Robotic NETwork (AERONET) data, at sites for situations with known aerosol types, provides many examples where the GA method does not provide correct results. For example, a thin layer of haze was classified as BB and DD outside the crop burning and dusty seasons respectively, a thick layer of haze was classified as BB, and aerosols from known crop residue burning events were classified as DD, CC, and CM by the GA method. The results also show that the classification varies with the season, for example, the same range of AOD and AE were observed during a dust event in the spring (20th March 2012) and a smog event in the autumn (2nd November 2017). The results suggest that only AOD and AE cannot precisely classify the exact nature (i.e., DD, BB, CC, and CM) of aerosol types without incorporating more optical and physical properties. An alternative approach, AEROsol generic classification using a novel Satellite remote sensing Approach (AEROSA), is proposed to provide aerosol amount and size information using AOD and AE, respectively, from the Terra-MODIS (MODerate resolution Imaging Spectroradiometer) Collection 6.1 Level 2 combined Dark Target and Deep Blue (DTB) product and AERONET Version 3 Level 2.0 data. Although AEROSA is also based on AOD and AE, it does not claim the nature of aerosol types, instead providing information on aerosol amount and size. The purpose is to introduce AEROSA for those researchers who are interested in the generic classification of aerosols based on AOD and AE, without claiming the exact aerosol types such as DD, BB, CC, and CM. AEROSA not only provides 9 generic aerosol classes for all observations but can also accommodate variations in location and season, which GA aerosol types do not.
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页数:17
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