Journal of Arid Land

, Volume 7, Issue 5, pp 567–578 | Cite as

Identification of sand and dust storm source areas in Iran

  • Hui CaoEmail author
  • Jian Liu
  • Guizhou Wang
  • Guang Yang
  • Lei Luo


Sand and dust storms (SDS) are common phenomena in arid and semi-arid areas. In recent years, SDS frequencies and intensities have increased significantly in Iran. A research on SDS sources is important for understanding the mechanisms of dust generation and assessing its socio-economic and environmental impacts. In this paper, we developed a new approach to identify SDS source areas in Iran using a combination of nine related datasets, namely drought events, temperature, precipitation, location of sandy soils, SDS frequency, human-induced soil degradation (HISD), human influence index (HII), rain use efficiency (RUE) and net primary productivity (NPP) loss. To identify SDS source areas, we firstly normalized these datasets under uniform criteria including layer reprojection using Lambert conformal conic projection, data conversion from shapefile to raster, Min-Max Normalization with data range from 0 to 1, and data interpolation by Kriging and images resampling (resolution of 1 km). After that, a score map for the possibility of SDS sources was generated through overlaying multiple datasets under average weight allocation criterion, in which each item obtained weight equally. In the score map, the higher the score, the more possible a specific area could be regarded as SDS source area. Exceptions mostly came from large cities, like Tehran and Isfahan. As a result, final SDS source areas were mapped out, and Al-Howizeh/Al-Azim marshes and Sistan Basin were identified as main SDS source areas in Iran. The SDS source area in Al-Howizeh/Al-Azim marshes still keeps expanding. In addition, Al-Howizeh/Al-Azim marshes are now suffering rapid land degradation due to natural and human-induced factors and might totally vanish in the near future. Sistan Basin also demonstrates the impacts of soil degradation and wind erosion. With appropriate intensity, duration, wind speed and altitude of the dust storms, sand particles uplifting from this area might have developed into extreme dust storms, especially during the summer.


sand and dust storm weight allocation criterion Kriging interpolation score map Al-Howizeh/Al-Azim marshes Sistan Basin 


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  1. Ali S M, Mahdi A S. 2008. Digital techniques for monitoring changes in water-body using satellite image. Iraqi Journal of Science, 49(1): 244–255.Google Scholar
  2. Alizadeh-Choobari O, Zawar-Reza P, Sturman A. 2014. The “wind of 120 days” and dust storm activity over the Sistan Basin. Atmospheric Research, 143: 328–341.CrossRefGoogle Scholar
  3. Amiraslani F, Dragovich D. 2011. Combating desertification in Iran over the last 50 years: an overview of changing approaches. Journal of Environmental Management, 92(1): 1–13.CrossRefGoogle Scholar
  4. Ashrafi K, Motlagh M S, Aslemand A, et al. 2014. Dust storm simulation over Iran using HYSPLIT. Journal of Environmental Health Science and Engineering, 12: 9.CrossRefGoogle Scholar
  5. Azizi G, Shamsipour A, Miri M, et al. 2012. Statistic and synoptic analysis of dust phenomena in west of Iran. Journal of Environmental Studies, 38(3): 31–33.Google Scholar
  6. Barnum B H, Winstead N S, Wesely J, et al. 2004. Forecasting dust storms using the CARMA-dust model and MM5 weather data. Environmental Modelling and Software, 19(2): 129–140.CrossRefGoogle Scholar
  7. Boloorani A D, Nabavi S O, Azizi R, et al. 2013. Characterization of Dust Storm Sources in Western Iran Using a Synthetic Approach. Advances in Meteorology, Climatology and Atmospheric Physics. Berlin Heidelberg: Springer, 415–420.CrossRefGoogle Scholar
  8. Bryant R G. 2013. Recent advances in our understanding of dust source emission processes. Progress in Physical Geography, 37(3): 397–421.CrossRefGoogle Scholar
  9. Bullard J E, Harrison S P, Baddock M C, et al. 2011. Preferential dust sources: a geomorphological classification designed for use in global dust-cycle models. Journal of Geophysical Research, F04034, doi: 10.1029/2011JF002061.Google Scholar
  10. Cao H, Amiraslani F, Liu J, et al. 2014. Identification of dust storm source areas in West Asia using multiple environmental datasets. Science of the Total Environment, 502: 224–235.CrossRefGoogle Scholar
  11. Dadizadeh M, Malakooti H, Gheiby A, et al. 2013. Study of long-term trend in dust distribution over Persian Gulf: satellite Imagery application and weather charts interpretation. In: Proceedings of 7th Symposium on Advances in Science and Technology. Bandar-Abbas, Iran.Google Scholar
  12. Draxler R R, Hess G D. 1997. Description of the HYSPLIT_4 modeling system. In: NOAA Technical Memorandum ERL ARL-224. Air Resources Laboratory. Silver Spring, Maryland, USA.Google Scholar
  13. Ekhtesasi M R, Gohari Z. 2013. Determining area affected by dust storms in different wind speeds, using satellite images (case study: Sistan plain, Iran). Desert, 17(1): 193–202.Google Scholar
  14. Esmaili O, Tajrishy M, Arasteh P D. 2006a. Evaluation of dust sources in Iran through remote sensing and synoptical analysis. In: Atlantic Europe Conference on Remote Imaging and Spectroscopy, United Kingdom. 136–143.Google Scholar
  15. Esmaili O, Tajrishy M, Arasteh P D. 2006b. Results of the 50 year ground-based measurements in comparison with satellite remote sensing of two prominent dust emission sources located in Iran. In: Remote Sensing of Clouds and the Atmosphere XI. International Society for Optics and Photonics, doi: 10.1117/12.692989.Google Scholar
  16. FAO. 2008a. Global Change in Rain-Use Efficiency 1981–2003. [2013-10-12]. Scholar
  17. FAO. 2008b. Global NPP Loss In The Degrading Areas 1981–2003. [2013-10-12]. Scholar
  18. Furman H K H. 2003. Dust storms in the Middle East: sources of origin and their temporal characteristics. Indoor and Built Environment, 12(6): 419–426.CrossRefGoogle Scholar
  19. Gerivani H, Lashkaripour G R, Ghafoori M, et al. 2011. The source of dust storm in Iran: a case study based on geological information and rainfall data. Carpathian Journal of Earth and Environmental Sciences, 6(1): 297–308.Google Scholar
  20. Ghadiri H. 2006. Restoration of Mesopotamian Marshlands. In: 2nd International Conference on Environmental Science and Technology (ICEST 2006). American Science Press.Google Scholar
  21. Ginoux P, Chin M, Tegen I, et al. 2001. Sources and distributions of dust aerosols simulated with the GOCART model. Journal of Geophysical Research, 106(D17): 20255–20273.CrossRefGoogle Scholar
  22. Givehchi R, Arhami M, Tajrishy M. 2013. Contribution of the Middle Eastern dust source areas to PM10 levels in urban receptors: case study of Tehran, Iran. Atmospheric Environment, 75: 287–295.CrossRefGoogle Scholar
  23. Goudie A S, Middleton N J. 2006. Desert Dust in the Global System. Berlin: Springer-Verlag Berlin, Heidelberger.Google Scholar
  24. Goudie A S. 2009. Dust storms: recent developments. Journal of Environmental Management, 90(1): 89–94.CrossRefGoogle Scholar
  25. Hamidi M, Kavianpour M R, Shao Y P. 2013. Synoptic analysis of dust storms in the Middle East. Asia-Pacific Journal of Atmospheric Sciences, 49(3): 279–286.CrossRefGoogle Scholar
  26. Higashi T, Kambayashi Y, Ohkura N, et al. 2014. Exacerbation of daily cough and allergic symptoms in adult patients with chronic cough by Asian dust: a hospital-based study in Kanazawa. Atmospheric Environment, 97: 537–543.CrossRefGoogle Scholar
  27. Illius A W, O’connor T G. 1999. On the relevance of nonequilibrium concepts to arid and semiarid grazing systems. Ecological Applications, 9(3): 798–813.CrossRefGoogle Scholar
  28. ISRIC (International Soil Reference and Information Centre). 1990. Global Assessment of Human-induced Soil Degradation (GLASOD). [2013-10-15]. Scholar
  29. ISRIC (International Soil Reference and Information Centre). 2013. SoilGrids1km. [2013-10-02]. Scholar
  30. Keramat A, Marivani B, Samsami M. 2011. Climatic change, drought and dust crisis in Iran. World Academy of Science, Engineering and Technology, 6: 10–13.Google Scholar
  31. Kousari M R, Ahani H, Hendi-zadeh R. 2013. Temporal and spatial trend detection of maximum air temperature in Iran during 1960–2005. Global and Planetary Change, 111: 97–110.CrossRefGoogle Scholar
  32. Li P, Jiang L G, Feng Z M. 2013. Cross-comparison of vegetation indices derived from Landsat-7 Enhanced Thematic Mapper Plus (ETM+) and Landsat-8 Operational Land Imager (OLI) sensors. Remote Sensing, 6(1): 310–329.CrossRefGoogle Scholar
  33. McMahon H. 1906. Recent survey and exploration in Seistan. The Geographical Journal, 28(3): 209–228.CrossRefGoogle Scholar
  34. Modarres R, da Silva V P R. 2007. Rainfall trends in arid and semi-arid regions of Iran. Journal of Arid Environments, 70(2): 344–355.CrossRefGoogle Scholar
  35. Mohammad R. 2012. Using thermal infrared (TIR) data to characterize dust storms and their sources in the Middle East. Pittsburgh: University of Pittsburgh.Google Scholar
  36. Mohammadi F, Kamali S, Eskandary M. 2014. Tracing dust sources in different atmosphere levels of Tehran using hybrid single-particle lagrangian integrated trajectory (HYSPLIT) model. Scientific Journal of Pure and Applied Sciences, 3(7): 559–571.Google Scholar
  37. Morabbi M. 2011. Risk warning and crisis management for dust storm effects on western border of Iran. In: United Nations International Conference on Space-based Technologies for Disaster Risk Management. Beijing, China.Google Scholar
  38. Muhs D R. 2013. The geologic records of dust in the Quaternary. Aeolian Research, 9: 3–48.CrossRefGoogle Scholar
  39. Muhsin I J. 2011. Al-hawizeh marsh monitoring method using remotely sensed images. Iraqi Journal of Science, 52(3): 381–387.Google Scholar
  40. NOAA. 2013. Hourly/Sub-Hourly Observational Data. [2014-03-17]. Scholar
  41. Oldeman L R, Hakkeling R T A, Sombroek W G. 1990. World map of the status of human-induced soil degradation: an explanatory note. Wageningen and Nairobi: International Soil Reference and Information Centre.Google Scholar
  42. Pegah Amiirdiivanii F H. 2012. I.R of Iran National Report on Regional Action Plan to combat dust and sand storm. In: International Cooperative for Aerosol Prediction (ICAP) 4th Workshop: Aerosol Emission and Removal Processes. Frascati.Google Scholar
  43. Powell J T, Chatziefthimiou A D, Banack S A, et al. 2015. Desert crust microorganisms, their environment, and human health. Journal of Arid Environments, 112: 127–133.CrossRefGoogle Scholar
  44. Prospero J M, Ginoux P, Torres O. 2002. Environmental characterization of global sources of atmospheric soil dust identified with the NIMBUS 7 Total Ozone Mapping Spectrometer (TOMS) absorbing aerosol product. Reviews of Geophysics, 40(1): 1–31.CrossRefGoogle Scholar
  45. Rahimi M, Yazdani M R, Asadi M, et al. 2014. Temporal and spatial variability of dust storm events in West Asia (Iran and Iraq border). International Journal of Civil and Environmental Research, 1(3): 100–109.Google Scholar
  46. Rashki A, Kaskaoutis D G, Rautenbach C J W, et al. 2012. Dust storms and their horizontal dust loading in the Sistan region, Iran. Aeolian Research, 5: 51–62.CrossRefGoogle Scholar
  47. Rashki A, Kaskaoutis D G, Goudie A S, et al. 2013a. Dryness of ephemeral lakes and consequences for dust activity: the case of the Hamoun drainage basin, southeastern Iran. Science of the Total Environment, 463–464: 552–564.CrossRefGoogle Scholar
  48. Rashki A, Eriksson P G, Rautenbach C J W, et al. 2013b. Assessment of chemical and mineralogical characteristics of airborne dust in the Sistan region, Iran. Chemosphere, 90(2): 227–236.CrossRefGoogle Scholar
  49. Richardson C J, Hussain N A. 2006. Restoring the Garden of Eden: an ecological assessment of the marshes of Iraq. BioScience, 56(6): 477–489.CrossRefGoogle Scholar
  50. Saboohi R, Soltani S, Khodagholi M. 2012. Trend analysis of temperature parameters in Iran. Theoretical and Applied Climatology, 109(3–4): 529–547.CrossRefGoogle Scholar
  51. Snyman H A. 1998. Dynamics and sustainable utilization of rangeland ecosystems in arid and semi-arid climates of southern Africa. Journal of Arid Environments, 39(4): 645–666.CrossRefGoogle Scholar
  52. UNEP, GRID-Europe. 2014. Droughts events 1980–2001. [2013-10-09]. Scholar
  53. Wang Y Q, Stein A F, Draxler R R, et al. 2011. Global sand and dust storms in 2008: observation and HYSPLIT model verification. Atmospheric Environment, 45(35): 6368–6381.CrossRefGoogle Scholar
  54. Wilderson W D. 1991. Dust and sand forecasting in Iraq and adjoining countries. In: Technical Report, Air Weather Service. Scott AFB (AWS/XTX), IL, USA.Google Scholar
  55. WMO, UNEP. 2013. Establishing a WMO sand and dust storm warning advisory and assessment system regional node for West Asia: current capabilities and needs. In: WMO Technical Report, 1121.Google Scholar
  56. Zarasvandi A, Carranza E J M, Moore F, et al. 2011. Spatio-temporal occurrences and mineralogical-geochemical characteristics of airborne dusts in Khuzestan Province (southwestern Iran). Journal of Geochemical Exploration, 111(3): 138–151.CrossRefGoogle Scholar
  57. Zoljoodi M, Didevarasl A, Saadatabadi A R. 2013. Dust events in the western parts of Iran and the relationship with drought expansion over the dust-source areas in Iraq and Syria. Atmospheric and Climate Sciences, 3: 321–336.CrossRefGoogle Scholar

Copyright information

© Xinjiang Institute of Ecology and Geography, the Chinese Academy of Sciences and Springer - Verlag GmbH 2015

Authors and Affiliations

  • Hui Cao
    • 1
    • 2
    • 3
    Email author
  • Jian Liu
    • 2
  • Guizhou Wang
    • 4
  • Guang Yang
    • 3
    • 4
  • Lei Luo
    • 3
    • 4
  1. 1.Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijingChina
  2. 2.International Ecosystem Management PartnershipUnited Nations Environment ProgrammeBeijingChina
  3. 3.University of Chinese Academy of SciencesBeijingChina
  4. 4.Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijingChina

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