Analysis of spatio-temporal dust aerosol frequency over Iran based on satellite data

被引:34
|
作者
Rezaei, Mohammad [1 ]
Farajzadeh, Manuchehr [1 ]
Mielonen, Tero [2 ]
Ghavidel, Yosef [1 ]
机构
[1] Tarbiat Modares Univ, Dept Climatol, Tehran, Iran
[2] Finnish Meteorol Inst, Kuopio Unit, Kuopio, Finland
关键词
Dust aerosol; Frequency; MODIS; OMI; Iran; OPTICAL DEPTH; MINERAL DUST; TROPOSPHERIC AEROSOL; STORM FREQUENCY; SAHARAN DUST; MIDDLE-EAST; NOAA NDVI; CHINA; MODIS; EVENTS;
D O I
10.1016/j.apr.2018.10.002
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Iran is located in the dust-belt region and so dust is a main environmental issue over the country. The main purpose of this study is to better understand of the spatial and temporal properties of the Dust Aerosol Frequency (DAF) over Iran using satellite data. Daily Moderate Resolution Imaging Spectroradiometer (MODIS) deep blue Aerosol Optical Depth (AOD), Angstrom Exponent (AE) (both Terra and Aqua, Level 3, Collection 6.1) and Ozone Monitoring Instrument (OMI) Absorption Aerosol Index (AAI) were obtained at 1 degrees x 1 degrees spatial resolution over Iran for the 10 years from 2006 to 2015. In this study observations with AOD higher than 0.3, AE < 0.75 and AAI > 0.7 are considered to be dust aerosols. Results showed that the maximum areas with high DAF are located in the Khuzestan province in the southwest and Sistan in the east of the country. The other areas with peak DAF were observed in the low elevation areas of the country, namely coastal plain of the Oman Sea, Jaz Murian depression and Lut desert in the southeast, and Southern Dasht-e Kavir in central northern. DAF is decreased significantly at latitudes higher than 34.5 degrees N. The maximum and minimum DAFs over Iran occur in July (Terra = 2.02, Aqua = 2.1) and November (Terra = 0.1, Aqua = 0.05), respectively. We found good spatial relationship between DAF with the meteorological codes frequency related to the dust from weather stations as well as with the fraction of dust AOD and from Monitoring Atmospheric Composition and Climate (MACC) project. In addition, results showed that dust frequencies based on both weather station and satellite data exhibited corresponding relationships with latitude, elevation, vegetation cover, precipitation and temperature.
引用
收藏
页码:508 / 519
页数:12
相关论文
共 50 条
  • [21] Extraction and Spatio-Temporal Analysis of Impervious Surfaces over Dongying Based on Landsat Data
    Shen, Jiaqi
    Shuai, Yanmin
    Li, Peixian
    Cao, Yuxi
    Ma, Xianwei
    REMOTE SENSING, 2021, 13 (18)
  • [22] Spatio-temporal distribution of localized aerosol loading in China: A satellite view
    Sun, Kun
    Chen, Xiaoling
    ATMOSPHERIC ENVIRONMENT, 2017, 163 : 35 - 43
  • [23] Adaptive spatio-temporal models for satellite ecological data
    Grillenzoni, C
    JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 2004, 9 (02) : 158 - 180
  • [24] Spatio-temporal variability of satellite-derived aerosol optical thickness over Northeast Asia in 2004
    Lee, Kwon Ho
    Kim, Young Joon
    von Hoyningen-Huene, Wolfgang
    Burrow, John P.
    ATMOSPHERIC ENVIRONMENT, 2007, 41 (19) : 3959 - 3973
  • [25] Spatio-temporal variation of hydro-climatic variables and extreme indices over Iran based on reanalysis data
    Malaekeh, SayedMorteza
    Safaie, Ammar
    Shiva, Layla
    Tabari, Hossein
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2022, 36 (11) : 3725 - 3752
  • [26] Spatio-temporal variation of hydro-climatic variables and extreme indices over Iran based on reanalysis data
    SayedMorteza Malaekeh
    Ammar Safaie
    Layla Shiva
    Hossein Tabari
    Stochastic Environmental Research and Risk Assessment, 2022, 36 : 3725 - 3752
  • [27] Spatio-temporal trend analysis of projected precipitation data over Rwanda
    Muhire, I.
    Tesfamichael, S. G.
    Ahmed, F.
    Minani, E.
    THEORETICAL AND APPLIED CLIMATOLOGY, 2018, 131 (1-2) : 671 - 680
  • [28] Spatial and spatio-temporal analysis of human brucellosis in Iran
    Mollalo, Abolfazl
    Alimohammadi, Abbas
    Khoshabi, Mostafa
    TRANSACTIONS OF THE ROYAL SOCIETY OF TROPICAL MEDICINE AND HYGIENE, 2014, 108 (11) : 721 - 728
  • [29] Spatio-temporal trend analysis of projected precipitation data over Rwanda
    I. Muhire
    S.G. Tesfamichael
    F. Ahmed
    E. Minani
    Theoretical and Applied Climatology, 2018, 131 : 671 - 680
  • [30] A satellite remote sensing based marine and atmospheric spatio-temporal data model
    Fang Chaoyang
    Hui, Lin
    Guilbert, Eric
    Ge, Chen
    GEOINFORMATICS 2006: GEOSPATIAL INFORMATION SCIENCE, 2006, 6420