Skip to main content

Advertisement

SpringerLink
Log in

Tracing and assessment of simultaneous dust storms in the cities of Ahvaz and Kermanshah in western Iran based on the new approach

  • Original Paper
  • Published:
Arabian Journal of Geosciences Aims and scope Submit manuscript

    We’re sorry, something doesn't seem to be working properly.

    Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.

A Correction to this article was published on 04 September 2020

This article has been updated

Abstract

One of the most important and relatively new natural disaster compared with others is the dust-storm phenomenon in today’s world, which has been aggravated by rising drought and global warming. Studies on the phenomenon of dust have different aspects and characteristics. To study this phenomenon, the use of meteorological models such as HYSPLIT, as well as satellite images with high temporal resolution and storm detection in terms of intensity, etc., is necessary. In this research, modeling in HYSPLIT system with back trajectory analysis was performed at three levels of altitude to determine the direction of motion of suspended particles in the atmosphere and its source in the interval 48 h prior to the occurrence of two simultaneous dust storm phenomena in destinations of Ahwaz and Kermanshah with a new approach. The dust detection was done by analyzing MODIS images using the iTIIDI (Improved Thermal Infrared Integrated Dust Index) method along with bands different method to remove cloudy pixels by determination of an appropriate threshold in digital numbers. The comparison of the transmission trajectories of dust yielded by HYSPLIT model for two destinations and false color composite of detected dust in MODIS images demonstrated the same sources for the dust phenomenon at the time of the study. Subsequently, the hydrological parameters of the identified region as the source were also evaluated; all of these, reflected the region's ability to produce suspended particles. Generally, the primary sources of dust on the two cities of Ahvaz and Kermanshah were desert parts of the northern of Iraq, a region between latitudes 33.80° N to 35.85° N and longitudes 42.00° E to 44.76° E in Tigris and Euphrates alluvial plain.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

Change history

  • 04 September 2020

    The article Tracing and assessment of simultaneous dust storms in the cities of Ahvaz and Kermanshah in western Iran based on the new approach, written by Taher Rajaee, Nima Rohani, Ehsan Jabbari, Barat Mojaradi, was originally published electronically on the publisher���s internet portal (currently SpringerLink) on 12 June 2020 with open access. With the author(s)��� decision to step back from Open Choice, the copyright of the article changed on 30 August 2020 to �� Saudi Society for Geosciences 2020 and the article is forthwith distributed under the terms of copyright.

Notes

  1. Normalized Difference Dust Index

  2. Thermal Infrared Integrated Dust Index

  3. AErosol RObotic NETwork

  4. Normalized difference vegetation index

References

  • Ackerman SA (1997) Remote sensing aerosols using satellite infrared observations. J Geophys Res 102(D14):17069–17079

    Google Scholar 

  • Ackerman SA, Strabala KI, Menzel WP, Frey RA, Moeller CC, Gumley LE (1998) Discriminating clear sky from clouds with MODIS. J Geophys Res 103(D24):32141–32157

    Google Scholar 

  • Al-Dousari AM, Al-Awadhi J, Ahmed M (2012) Dust fallout characteristics within global dust storm major trajectories. Arab J Geosci 6(10):3877–3884

    Google Scholar 

  • Ataei S, Abkar AA, Mohammadzadeh A (2015) Dust detection using improved TIIDI and applying MODIS sensor data. J ENVIRON STUD 12-20.

  • Badarinath KVS, Kambezidis H, Kaskaoutis DG, Kharol SK (2010) Dust storm identification via satellite remote sensing. Nova Science Publishers, Incorporated

    Google Scholar 

  • Baddock MC, Bullard JE, Bryant RG (2009) Dust source identification using MODIS: a comparison of techniques applied to the Lake Eyre Basin. Australia Remote Sensing ENVIRON 113:1511–1528

    Google Scholar 

  • Bahramvash S, Mohammadzadeh A (2013) Using aerosol reflectance for dust detection. ISPRS-International Archives Photogrammetry, Remote Sensing and Spatial Information Sciences 3:85–89

    Google Scholar 

  • Ciren P, Kondragunta S (2014) Dust aerosol index (DAI) algorithm for MODIS. J Geophys Res 119(8):4770–4792

    Google Scholar 

  • Chauhan A, de Azevedo SC, Singh RP (2018) Pronounced changes in air quality, atmospheric and meteorological parameters, and strong mixing of smoke associated with a dust event over Bakersfield, California. Environ Earth Sci 77(4):115

    Google Scholar 

  • Chopping M, Moisen GG, Su L, Laliberte A, Rango A, Martonchik JV, Peters DPC (2008) large area mapping of southwestern forest crown cover, canopy height, and biomass using the NASA Multiangle Imaging Spectro-Radiometer. Remote Sens Environ 112(5):2051–2063

    Google Scholar 

  • Draxler RR, Hess GD (1998) An overview of the HYSPLIT_4 modelling system for trajectories. Aust Meteorol Mag 47(4):295–308

    Google Scholar 

  • El-Askary H, Gautam R, Singh RP, Kafatos M (2006) Dust storms detection over the Indo-Gangetic basin using multi sensor data. Adv Space Res 37(4):728–733

    Google Scholar 

  • El-ossta E, Qahwaji R, Ipson SS (2013) Detection of dust storms using MODIS reflective and emissive bands. IEEE J Selected Topics in Applied Earth Observations Remote Sensing 6(6):2480–2485

    Google Scholar 

  • Hao X, Qu JJ (2007) Saharan dust storm detection using moderate resolution imaging spectroradiometer thermal infrared bands. J Appl Remote Sens 1(1):013510–013519

    Google Scholar 

  • Haung J, Ge J, Weng F (2007) Detection of Asia dust storms using multisensor satellite measurements. Remote Sens Environ 6:186–191

    Google Scholar 

  • Hsu NC, Tsay SC, King MD, Herman JR (2004) Aerosol properties over bright-reflecting source regions. IEEE Trans Geosci Remote Sens 42(3):557–569

    Google Scholar 

  • Kalnay E, Kanamitsu M, Kistler R, Collins W, Deaven D, Gandin L, Iredell M, Saha S, White G, Woollen J, Zhu Y, Leetmaa A, Reynolds R, Chelliah M, Ebisuzaki W, Higgins W, Janowiak J, Mo KC, Ropelewski C, Wang J, Jenne R, Joseph D (1996) The NCEP/NCAR 40-year reanalysis project. Bull Amer Meteor Soc 77:437–470

    Google Scholar 

  • Lee YC, Yang X, Wenig M (2010) Transport of dusts from East Asian and non-East Asian sources to Hong Kong during dust storm related events 1996–2007. Atmos Environ 44(30):3728–3738

    Google Scholar 

  • Liang S, Zhong B, Fang H (2006) Improved estimation of aerosol optical depth from MODIS imagery over land surfaces. Remote Sens Environ 104(4):416–425

    Google Scholar 

  • Li H, Farugue F, Williams W, Al-Hamdan M, Luvall J, Crosson W, Rickman D, Limaye A (2009) Optimal temporal scale for the correlation of AOD and ground measurements of PM2.5 in a real-time air quality estimation system. Atmos Environ 43:4303–4310

    Google Scholar 

  • Liu Y, Liu R (2011) A thermal index from MODIS data for dust detection. In Geoscience and Remote Sensing Symposium (IGARSS) 2011 IEEE International pp. 3783-3786

  • Nabavi SO, Haimberger L, Abbasi R, Samimi C (2018) Prediction of aerosol optical depth in West Asia using deterministic models and machine learning algorithms. Aeolian Res 35:69–84

    Google Scholar 

  • Nabavi SO, Haimberger L, Samimi C (2016) Climatology of dust distribution over West Asia from homogenized remote sensing data. Aeolian Res 21:93–107

    Google Scholar 

  • Nabavi SO, Haimberger L, Samimi C (2017) Sensitivity of WRF-chem predictions to dust source function specification in West Asia. Aeolian Res 24:115–131

    Google Scholar 

  • Mei D, Xiushan L (2008) A dust-storm process dynamic monitoring with multi-temporal MODIS data. Int Arch Photogram Remote Sens Spat Inf Sci 6:965–970

    Google Scholar 

  • Ohde T (2016) Saharan dust effects in different trophic areas off Northwest Africa. Arab J Geosci 9(3):216

    Google Scholar 

  • Park SS, Kim J, Lee J, Lee S, Kim JS, Chang LS, Ou S (2014) Combined dust detection algorithm by using MODIS infrared channels over East Asia. Remote Sens Environ 141:24–39

    Google Scholar 

  • Peng Z, Nai Meng L, Xiu qing H, Chao-Hau D (2006) Identification and physical retrieval of dust storm using three MODIS thermal IR channels. Glob Planet Chang 52(10):197–206

    Google Scholar 

  • Samadi M, Boloorani AD, Alavipanah SK, Mohamadi H, Najafi MS (2014) Global dust Detection Index (GDDI); a new remotely sensed methodology for dust storms detection. J Environ Health Sci Eng 12(1):20

    Google Scholar 

  • Sivaprasad P, Babu CA, Samah AA, Jayakrishnan PR (2017) An analysis on the dust aerosol climatology over the major dust sources in the northern hemisphere. Arab J Geosci 10(19):422

    Google Scholar 

  • Shahid MZ, Shahid I, Chishtie F, Shahzad MI, Bulbul G (2019) Analysis of a dense haze event over North-eastern Pakistan using WRF-Chem model and remote sensing. J Atmos and Solar-Terrestrial Phys 182:229–241

    Google Scholar 

  • Shao Y, Wyrwoll KH, Chappell A, Huang J, Lin Z, McTainsh GH et al (2011) Dust cycle: an emerging core theme in Earth system science. Aeolian Res 2(4):181–204

    Google Scholar 

  • Sun E, Xu X, Che H, Tang Z, Gui K, An L, Lu C, Shi G (2019) Variation in MERRA-2 aerosol optical depth and absorption aerosol optical depth over China from 1980 to 2017. J Atmos and Solar-Terrestrial Phys 186:8–19

    Google Scholar 

  • Taghavi F, Owlad E, Safarrad T, Irannejad P (2013) Identifying and monitoring dust storm in the western part of Iran using remote sensing techniques. Earth Space Phys J 39(3):83–96

    Google Scholar 

  • Tanaka TY, Chiba M (2006) A numerical study of the contributions of dust source regions to the global dust budget. Glob Planet Chang 52(1):88–104

    Google Scholar 

  • Wang J, Xu X, Spurr R, Wang Y, Drury E (2010) Improved algorithm for MODIS satellite retrievals of aerosol optical thickness over land in dusty atmosphere: Implications for air quality monitoring in China. Remote Sens Environ 114(11):2575–2583

    Google Scholar 

  • Xie Y, Chi Y, Meng J, Guo L, Wang Y (2015) Grain-size and Sr–Nd isotopic compositions of dry-and wet-deposited dusts during the same dust-storm event in Harbin, China: implications for source, transport–deposition modes, dynamic mechanism and formation of eolian loess. Environ Earth Sci 74(8):6489–6502

    Google Scholar 

  • Xu L, Mu G, He J, Yang F, Ren X, Wan D, Lin Y (2016) Variability of dust mass concentrations and deposition rates under different weather conditions in Cele Oasis, southern Tarim Basin. Environ Earth Sci 75(8):639

    Google Scholar 

  • Zarasvandi A, Carranza EJM, Moore F, Rastmanesh F (2011) Spatio-temporal occurrences and mineralogical–geochemical characteristics of airborne dusts in Khuzestan Province (southwestern Iran). J Geochem Explor 111(3):138–151

    Google Scholar 

  • Zhang B, Tsunekawa A, Tsubo M (2008) Contributions of sandy lands and stony deserts to long-distance dust emission in China and Mongolia during 2000–2006. Glob Planet Chang 60(3-4):487–504

    Google Scholar 

  • Zhao M, Zhan KJ, Qiu GY, Fang ET, Yang ZH, Zhang YC, De Li A (2011) Experimental investigation of the height profile of sand-dust fluxes in the 0–50-m layer and the effects of vegetation on dust reduction. Environ Earth Sci 62(2):403–410

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Dept. of Civil Eng., University of Qom, Qom, Iran

    Taher Rajaee, Nima Rohani & Ehsan Jabbari

  2. Dept. of Geomatics Engineering, Iran University of Science and Technology, Tehran, Iran

    Barat Mojaradi

Authors
  1. Taher Rajaee
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nima Rohani
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ehsan Jabbari
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Barat Mojaradi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nima Rohani.

Additional information

Responsible Editor: Zhihua Zhang

The original version of this article was revised due to a retrospective Open Access cancellation order

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rajaee, T., Rohani, N., Jabbari, E. et al. Tracing and assessment of simultaneous dust storms in the cities of Ahvaz and Kermanshah in western Iran based on the new approach. Arab J Geosci 13, 461 (2020). https://doi.org/10.1007/s12517-020-05443-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12517-020-05443-2

Keywords

Search

Navigation