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Journals / Atmospheric Pollution Research / 2019 / Cilt: 10 - Sayı: 2

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

Mohammad Javad REZAI
Manuchehr FARAJZADEH
Tero MIELONEN
Yosef GHAVIDEL
Pages
508–519
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

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.

📌 3 Key Takeaways

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Objective & Hypothesis:Iran is located in the dust-belt region and so dust is a main environmental issue over the country.
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Key Findings & 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° × 1° spatial resolution over Iran for the 10 years from 2006 to 2015.
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Conclusion & Impact: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.
🔬Design:Research Article
📍Scope:2006 Verileri
⚙️Variables:Domain Parameters

Özet

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° × 1° spatial resolution over Iran for the 10 years from 2006 to 2015. In this study observations with AOD higher than 0.3, AE 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° 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.

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Cite This Article

REZAI, M. J., FARAJZADEH, M., MIELONEN, T., GHAVIDEL, Y. (2019). Analysis of spatio-temporal dust aerosol frequency over Iran based on satellite data. Atmospheric Pollution Research, Cilt: 10 - Sayı: 2, 508–519. https://ajindex.com/articles/193524

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References (11)

  1. Alam, K., Trautmann, T., Blaschke, T., Subhanm, F., 2014. Changes in aerosol optical properties due to dust storms in the Middle East and Southwest Asia. Remote Sens. Environ. 143, 216–227.
  2. Alizadeh-Choobari, O., Ghafarian, P., Owlad, E., 2016. Temporal variations in the frequency and concentration of dust events over Iran based on surface observations. Int. J. Climatol. 36, 2050–2062.
  3. Alizadeh-Choobari, O., Zawar-Reza, P., Sturman, A., 2014. The “wind of 120 days” and dust storm activity over the Sistan Basin. Atmos. Res. 143, 328–341.
  4. Barnes, W.L., Xiong, X., Salomonson, V.V., 2003. Status of terra MODIS and aqua MODIS. Adv. Space Res. 32, 2099–2106.
  5. Benedetti, A., Morcrette, J.J., Boucher, O., Dethof, A., Engelen, R.J., Fisher, M., et al., 2009. Aerosol analysis and forecast in the European centre for medium‐range weather forecasts integrated forecast system: 2. Data assimilation. J. Geophys. Res. Atmos. 114 (D13). Bibi, S., Alam, K., Chishtie, F., Bibi, H., 2017. Characterization of absorbing aerosol types using ground and satellites based observations over an urban environment. Atmos. Environ. 150, 126–135.
  6. Bullard, J., Baddock, M., McTainsh, G., Leys, J., 2008. Sub-basin scale dust source geomorphology detected using MODIS. Geophys. Res. Lett. 35. Bullard, J.E., Baddock, M., Bradwell, T., Crusius, J., Darlington, E., Gaiero, D., Gassó, S., Gisladottir, G., Hodgkins, R., McCulloch, R., McKenna-Neuman, C., Mockford, T., Stewart, H., Thorsteinsson, T., 2016. High-latitude dust in the Earth system. Rev. Geophys. 54, 447–485.
  7. Cesnulyte, V., Lindfors, A.V., Pitkänen, M.R.A., Lehtinen, K.E.J., Morcrette, J.J., Arola, A., 2014. Comparing ECMWF AOD with AERONET observations at visible and UV wavelengths. Atmos. Chem. Phys. 14, 593–608. Chýlek, P., Coakley, J.A., 1974. Aerosols and climate. Science 183, 75–77.
  8. DehghaniSanij, H., Yamamoto, T., Rasiah, V., 2004. Assessment of evapotranspiration estimation models for use in semi-arid environments. Agric. Water Manag. 64, 91–106.
  9. Engelstaedter, S., Kohfeld, K.E., Tegen, I., Harrison, S.P., 2003. Controls of dust emissions by vegetation and topographic depressions: an evaluation using dust storm frequency data. Geophys. Res. Lett. 30. Engelstaedter, S., Tegen, I., Washington, R., 2006. North African dust emissions and transport. Earth Sci. Rev. 79, 73–100.
  10. Furman, H.K.H., 2003. Dust storms in the Middle East: sources of origin and their temporal characteristics. Indoor Built Environ. 12, 419–426.
  11. Georgoulias, A.K.,