Validation and Trend Analysis of Satellite-Based AOD Data over Southern India

被引:5
|
作者
Kotrike, Tharani [1 ]
Pratap, Deva [1 ]
Keesara, Venkata Reddy [1 ]
机构
[1] NIT Warangal, Dept Civil Engn, Hanamkonda, India
关键词
Aerosol optical depth (AOD); Innovative Trend Analysis (ITA); Mann-Kendall test (MK); MODIS; Southern India; AEROSOL OPTICAL DEPTH; AERONET; OMI;
D O I
10.1007/s41810-020-00082-2
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Aerosols are finely suspended solid or liquid particles in the atmosphere. Anthropogenic aerosols from industrialization and urbanization are among the prominent factors instrumental in climate change process. Aerosol optical depth (AOD) is a quantitative estimate of the amount of aerosol present in the atmosphere. The rise in concentration of aerosols in the atmosphere has affected the clear sky visibility in most of the metropolitan cities. AOD data from satellite and ground observations are the main sources in studying the effect of aerosol on spatial patterns of precipitation and temperature. The continuous AOD data are validated against ground observations. It is observed that Moderate Resolution Spectrometer is closely correlated with ground observations. The coefficient of determination is 0.58 for Pune station and 0.7 for Kanpur station. Trends in AOD have been assessed for 2 decades over Southern India using Mann-Kendall test and Innovative Trend Analysis (ITA) method. Both the tests showed a decrease in area of significant trend for the second decade when compared to the first decade. This might be because of change in mitigation policies adopted in India. It is observed that 67% and 40% of the area showed a significant positive trend in the first and second decades using Mann-Kendall test, respectively. However, 42% and 30% of the area showed a significant positive trend in the first and second decades using the ITA method. The variation in percentage of area in both the tests is attributed to the manner in which data are given as input and also on the mode of application. Hence, both the tests are useful to assess the trend in AOD data.
引用
收藏
页码:32 / 43
页数:12
相关论文
共 50 条
  • [31] Satellite-Based Analysis of Spatiotemporal Wildfire Pattern in the Mongolian Plateau
    Bao, Yulong
    Shinoda, Masato
    Yi, Kunpeng
    Fu, Xiaoman
    Sun, Long
    Nasanbat, Elbegjargal
    Li, Na
    Xiang, Honglin
    Yang, Yan
    DavdaiJavzmaa, Bulgan
    Nandintsetseg, Banzragch
    REMOTE SENSING, 2023, 15 (01)
  • [32] Analysis of spatio-temporal dust aerosol frequency over Iran based on satellite data
    Rezaei, Mohammad
    Farajzadeh, Manuchehr
    Mielonen, Tero
    Ghavidel, Yosef
    ATMOSPHERIC POLLUTION RESEARCH, 2019, 10 (02) : 508 - 519
  • [33] Satellite-based evapotranspiration over Gezira Irrigation Scheme, Sudan: A comparative study
    Al Zayed, Islam Sabry
    Elagib, Nadir Ahmed
    Ribbe, Lars
    Heinrich, Juergen
    AGRICULTURAL WATER MANAGEMENT, 2016, 177 : 66 - 76
  • [34] A satellite-based Daily Actual Evapotranspiration estimation algorithm over South Florida
    Jiang, Le
    Islam, Shafiqul
    Guo, Wei
    Jutla, Antarpreet Singh
    Senarath, Sharika U. S.
    Ramsay, Bruce H.
    Eltahir, Elfatih A. B.
    GLOBAL AND PLANETARY CHANGE, 2009, 67 (1-2) : 62 - 77
  • [35] Analysis of Tropospheric Nitrogen Dioxide Using Satellite and Ground Based Data over Northern Thailand
    Lalitaporn, Pichnaree
    Boonmee, Tharinee
    ENGINEERING JOURNAL-THAILAND, 2019, 23 (06): : 19 - 35
  • [36] Evaluation of three satellite-based latent heat flux algorithms over forest ecosystems using eddy covariance data
    Yao, Yunjun
    Zhang, Yuhu
    Zhao, Shaohua
    Li, Xianglan
    Jia, Kun
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2015, 187 (06)
  • [37] Estimation of Satellite-based Spatial Evapotranspiration and Validation of Fluxtower Measurements by Eddy Covariance Method
    Sur, Chanyang
    Han, Seungjae
    Lee, Junghoon
    Choi, Minha
    KOREAN JOURNAL OF REMOTE SENSING, 2012, 28 (04) : 435 - 448
  • [38] Validation of satellite-based noontime UVI with NDACC ground- based instruments: influence of topography, environment and satellite overpass time
    Brogniez, Colette
    Auriol, Frederique
    Deroo, Christine
    Arola, Antti
    Kujanpaa, Jukka
    Sauvage, Beatrice
    Kalakoski, Niilo
    Pitkanen, Mikko Riku Aleksi
    Catalfamo, Maxime
    Metzger, Jean-Marc
    Tournois, Guy
    Da Conceicao, Pierre
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2016, 16 (23) : 15049 - 15074
  • [39] Validation of satellite and model aerosol optical depth and precipitable water vapour observations with AERONET data over Pune, India
    Vijayakumar, K.
    Devara, P. C. S.
    Giles, David M.
    Holben, Brent N.
    Rao, S. Vijaya Bhaskara
    Jayasankar, C. K.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2018, 39 (21) : 7643 - 7663
  • [40] Spatiotemporal analysis of ground and satellite-based aerosol for air quality assessment in the Southeast Asia region
    Nguyen, Thanh T. N.
    Pham, Ha V.
    Lasko, Kristofer
    Bui, Mai T.
    Laffly, Dominique
    Jourdan, Astrid
    Bui, Hung Q.
    ENVIRONMENTAL POLLUTION, 2019, 255