Graphical aerosol classification method using aerosol relative optical depth

被引:36
|
作者
Chen, Qi-Xiang [1 ]
Yuan, Yuan [1 ]
Shuai, Yong [1 ]
Tan, He-Ping [1 ]
机构
[1] Harbin Inst Technol, Sch Energy Sci & Engn, 92 West Dazhi St, Harbin 150001, Peoples R China
基金
中国国家自然科学基金;
关键词
Aerosol classification method; Aerosol relative optical thickness (AROT); Aerosol optical thickness (AOT); Pollutants; DUST; VARIABILITY; URBAN; ALGORITHM;
D O I
10.1016/j.atmosenv.2016.03.061
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A simple graphical method is presented to classify aerosol types based on a combination of aerosol optical thickness (AOT) and aerosol relative optical thickness (AROT). Six aerosol types, including maritime (MA), desert dust (DD), continental (CO), sub-continental (SC), urban industry (UI) and biomass burning (BB), are discriminated in a two dimensional space of AOT(440) and AROT(1020/440). Numerical calculations are performed using MIE theory based on a multi log-normal particle size distribution, and the AROT ranges for each aerosol type are determined. More than 5 years of daily observations from 8 representative aerosol sites are applied to the method to confirm spatial applicability. Finally, 3 individual cases are analyzed according to their specific aerosol status. The outcomes indicate that the new graphical method coordinates well with regional characteristics and is also able to distinguish aerosol variations in individual situations. This technique demonstrates a novel way to estimate different aerosol types and provide information on radiative forcing calculations and satellite data corrections. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:84 / 91
页数:8
相关论文
共 50 条
  • [1] Aerosol Optical Depth (AOD) Retrieval Method using MODIS
    Abd Jalal, Khairunnisa
    Asmat, Arnis
    Ahmad, Noordin
    [J]. 2015 INTERNATIONAL CONFERENCE ON SPACE SCIENCE AND COMMUNICATION (ICONSPACE), 2015, : 370 - 374
  • [2] Aerosol optical properties in the southeastern United States in summer - Part 2: Sensitivity of aerosol optical depth to relative humidity and aerosol parameters
    Brock, Charles A.
    Wagner, Nicholas L.
    Anderson, Bruce E.
    Beyersdorf, Andreas
    Campuzano-Jost, Pedro
    Day, Douglas A.
    Diskin, Glenn S.
    Gordon, Timothy D.
    Jimenez, Jose L.
    Lack, Daniel A.
    Liao, Jin
    Markovic, Milos Z.
    Middlebrook, Ann M.
    Perring, Anne E.
    Richardson, Matthews S.
    Schwarz, Joshua P.
    Welti, Andre
    Ziemba, Luke D.
    Murphy, Daniel M.
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2016, 16 (08) : 5009 - 5019
  • [3] Aerosol optical depth approximation using an optimization-subdivision method
    Pfister, N
    Charbonneau, K
    Ducharme, M
    Houle, M
    Poulin, C
    Randlett, ME
    Rioux-Perreault, C
    [J]. ATMOSPHERIC AND ENVIRONMENTAL REMOTE SENSING DATA PROCESSING AND UTILIZATION: AN END TO END SYSTEM PERSPECTIVE, 2004, 5548 : 230 - 237
  • [4] Using the OMI aerosol index and absorption aerosol optical depth to evaluate the NASA MERRA Aerosol Reanalysis
    Buchard, V.
    da Silva, A. M.
    Colarco, P. R.
    Darmenov, A.
    Randles, C. A.
    Govindaraju, R.
    Torres, O.
    Campbell, J.
    Spurr, R.
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2015, 15 (10) : 5743 - 5760
  • [5] Method to retrieve the nocturnal aerosol optical depth with a CCD laser aerosol detective system
    Bian, Yuxuan
    Zhao, Chunsheng
    Xu, Wanyun
    Ma, Nan
    Tao, Jiangchuan
    Kuang, Ye
    Zhao, Gang
    Liu, Hongjian
    [J]. OPTICS LETTERS, 2017, 42 (22) : 4607 - 4610
  • [6] Characteristics of the aerosol optical depth under the classification of the surface visibility
    Li, F
    Lu, D
    [J]. NUCLEATION AND ATMOSPHERIC AEROSOLS 1996, 1996, : 907 - 910
  • [7] Retrieval of the relation between aerosol number concentration and aerosol optical depth using MOPSMAP
    Fajardo-Zambrano, C. M.
    Bravo-Aranda, J. A.
    Granados-Munoz, M. J.
    Bermejo-Pantaleon, D.
    Alados-Arboledas, L.
    [J]. REMOTE SENSING OF CLOUDS AND THE ATMOSPHERE XXVI, 2021, 11859
  • [8] Using a new aerosol relative optical thickness concept to identify aerosol particle species
    Yuan, Yuan
    Shuai, Yong
    Li, Xiao-Wei
    Liu, Bin
    Tan, He-Ping
    [J]. ATMOSPHERIC RESEARCH, 2014, 150 : 1 - 11
  • [9] Variability of aerosol optical depth and aerosol forcing over India
    Sarkar, S.
    Changamwong, R.
    Cervone, G.
    Singh, R. P.
    Kafatos, M.
    [J]. ATMOSPHERIC REMOTE SENSING: EARTH'S SURFACE, TROPOSPHERE, STRATOSPHERE AND MESOSPHERE - II, 2006, 37 (12): : 2153 - 2159
  • [10] Estimating aerosol emissions by assimilating observed aerosol optical depth in a global aerosol model
    Huneeus, N.
    Chevallier, F.
    Boucher, O.
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2012, 12 (10) : 4585 - 4606