Aerosol type classification and its temporal distribution in Kanpur using ground-based remote sensing

被引:0
|
作者
Sharma, Nabin [1 ]
Kumar, Sarvan [2 ]
Patel, Kalpana [1 ]
机构
[1] SRM Inst Sci & Technol, Dept Phys, Delhi NCR Campus, Ghaziabad 201204, India
[2] VBS Purvanchal Univ, Dept Earth & Planetary Sci, Jaunpur 222002, Uttar Pradesh, India
关键词
Dust ratio; Pollution aerosol; AERONET; Kanpur; Fine mode fraction; GANGETIC BASIN; AERONET; DUST; INDO; DEPOLARIZATION; RATIO; VARIABILITY;
D O I
10.1016/j.jastp.2024.106366
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Based on AERONET version 3 level 2 inversion products, we classify aerosol types and investigate their temporal distribution in the atmosphere using particle linear depolarization ratio (PLDR) and single scattering albedo (SSA) at the wavelength of 1020 nm over Kanpur. It is for the first time over the North Indian region the work has been emphasized. The remarkable findings over Kanpur station indicate that SSA and coarse-mode particles in the atmosphere increased with increasing PLDR at 440, 675, 870, and 1020 nm wavelengths. It is observed in the 2-dimensional histogram that the rate of occurrence of aerosols is high when the fine mode fraction (FMF) is high and the dust ratio (Rd) d ) is low. The atmosphere of Kanpur is partially influenced by dust-dominated mixture (DDM), pollution-dominated mixture (PDM), and pure dust (PD) with 53% whereas, the rest of the dust-free pollution aerosols are 47%. The annual mean occurrence rate for different aerosol types is 5% for Strongly Absorbing (SA), 20% for Moderately Absorbing (MA), 19% for Weakly Absorbing (WA), 3% for Non-Absorbing (NA), 27% for DDM, 22% for PDM, and 4% for PD, ranging from January 2001 to January 2022. There is a variation in the distribution of various types of pollution particles, which is influenced by the changing seasons. The rate of occurrence of dust-free pollution aerosols is 47%, mostly observed throughout the post-monsoon and winter seasons. The PLDR values in the atmosphere of Kanpur are almost balanced equally because it is affected by both (dust and dust-free) pollution aerosols and the changes can be seen due to the frequent occurrence of dust storms and anthropogenic activities.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Aerosol type classification and its temporal distribution in Kanpur using ground-based remote sensing
    Sharma, Nabin
    Kumar, Sarvan
    Patel, Kalpana
    Journal of Atmospheric and Solar-Terrestrial Physics, 265
  • [2] Classification of aerosol types in mega-city of Lahore (Pakistan) using ground-based remote sensing
    Khan, Muhammad Nabeel
    Tariq, Salman
    Ehsan, Nimra
    Haseeb, Tunjeena
    AIR QUALITY ATMOSPHERE AND HEALTH, 2024, 17 (07): : 1361 - 1372
  • [3] Ground-based remote sensing of aerosol climatology in China: Aerosol optical properties, direct radiative effect and its parameterization
    Xia, X.
    Che, H.
    Zhu, J.
    Chen, H.
    Cong, Z.
    Deng, X.
    Fan, X.
    Fu, Y.
    Goloub, P.
    Jiang, H.
    Liu, Q.
    Mai, B.
    Wang, P.
    Wu, Y.
    Zhang, J.
    Zhang, R.
    Zhang, X.
    ATMOSPHERIC ENVIRONMENT, 2016, 124 : 243 - 251
  • [4] Effective radius of cloud droplets by ground-based remote sensing: Relationship to aerosol
    Kim, BG
    Schwartz, SE
    Miller, MA
    Min, QL
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2003, 108 (D23)
  • [5] Ground-Based Remote Sensing of Aerosol Properties over a Coastal Megacity of Pakistan
    Tariq, Salman
    Ul-Haq, Zia
    ADVANCES IN METEOROLOGY, 2018, 2018
  • [6] A composite retrieval scheme for ground-based remote sensing of atmospheric aerosol characteristics
    Lu, DR
    Duan, MZ
    IRS 2000: CURRENT PROBLEMS IN ATMOSPHERIC RADIATION, 2001, : 969 - 972
  • [7] Ground-based remote sensing scheme for monitoring aerosol-cloud interactions
    Sarna, Karolina
    Russchenberg, Herman W. J.
    ATMOSPHERIC MEASUREMENT TECHNIQUES, 2016, 9 (03) : 1039 - 1050
  • [8] Ground-based remote sensing of aerosol's vertical distribution with sky radiance measurements-numerical simulation
    Lu, DR
    Zhang, WX
    OPTICAL REMOTE SENSING OF THE ATMOSPHERE AND CLOUDS III, 2003, 4891 : 237 - 247
  • [9] Aerosol remote sensing using ground-based measurements and POLDER airborne sensor above coastal waters
    Chami, M
    Santer, R
    REMOTE SENSING OF ENVIRONMENT, 1998, 66 (02) : 203 - 221
  • [10] Observational study on salt dust aerosol optical properties using the ground-based and satellite remote sensing
    Zhang Z.
    Ding J.
    Wang J.
    Chen W.
    Yaogan Xuebao/Journal of Remote Sensing, 2017, 21 (05): : 665 - 678