Water Demand Investigation in Sabouri Hamoon Wetland to Reduce Dust Propagation in Zabol City Using Satellite Images

Document Type : Research Article


1 PhD candidate, Civil Engineering Department, University of Sistan and Baluchestan, Zahedan, Iran

2 Civil Engineering Department, University of Sistan and Baluchestan, Zahedan, Iran



Hydropower requirement and agricultural development at upstream points of Hirmand River has significantly reduced the water discharge to Sistan region and the has been led to decreasing right of water and drying of Hamoon International Wetland. This, has been considered as the main reason of Hamoons of Sistan water volume reduce and increasing drought periods. Due to the 120-day winds and the location of Sabouri Wetland, one of the three wetlands in this region, some researchers introduced this wetland as the main source of dust in Sistan region. In this study, decreasing the effects of dust propagation due to water cover area using satellite images is investigated. For precise analyzing and estimating water demand for dust propagation decrease, water cover area in Sabouri Wetland and NDWI index in 113 satellite images from 2009 to 2013 are extracted. By calculating this index and water cover area no correlation between the above parameters is observed and specified that Sabouri is not the main source of the dust propagation. Also results indicated that between 2014 and 2018 the lowest water cover area equal to 150 million square meters was available in the region.


Main Subjects

[1]. Brander L M, Florax, R JGM, Vermaat J E. The empirics of wetland valuation: a comprehensive summary and a meta-analysis of the literature. Environmental and Resource economics. 2006; 33.2, 223-250.
[2]. Christie J, Bostwick P. Climate change adaptation plan for coastal and inland wetlands in the state of Michigan. A white paper prepared for the Michigan Department of Environmental Quality Wetlands Program and Coastal Management Program. Association of State Wetlands Managers Windham Maine. 2012.
[3]. Boroughani M, Hashemi H, Hosseini SH, Pourhashemi S, Berndtsson R. Desiccating Lake Urmia: A New Dust Source of Regional Importance. IEEE Geoscience and Remote Sensing Letters. 2019; 17(9): 1483-1487.
[4]. Breckle SW, Wucherer W, Dimeyeva LA, Ogar NP. Aralkum-a man-made desert: the desiccated floor of the Aral Sea (Central Asia), Springer Science & Business Media. 2011.
[5]. Reheis MC, Budahn JR, Lamothe PJ, Reynolds RL. Compositions of modern dust and surface sediments in the Desert Southwest, United States. Journal of Geophysical Research: Earth Surface 114: F01028. 2009.
[6]. Mahowald NM, Bryant RG, del Corral J, Steinberger L. Ephemeral lakes and desert dust sources. Geophysical Research Letters. 2003; 30(2):1074-1078.
[7]. Baddock MC, Bullard JE, Bryant RG. Dust source identification using MODIS: a comparison of techniques applied to the Lake Eyre Basin, Australia. Remote Sensing of Environment. 2009; 113: 1511-1528.
[8]. Rashki A, Kaskaoutis D, Rautenbach C, Eriksson P, Qiang M, Gupta P. Dust storms and their horizontal dust loading in the Sistan region, Iran. Aeolian Research. 2012; 5: 51-62.
[9]. Boloorani, A D, Najafi, M S, Soleimani, M, Papi, R., Torabi, O. Influence of Hamoun Lakes' dry conditions on dust emission and radiative forcing over Sistan plain, Iran. Atmospheric Research. 2022; 272, 106152.
[10]. Harati, H, Kiadaliri, M, Tavana, A, Rahnavard, A, Amirnezhad, R. Urmia Lake dust storms occurrences: investigating the relationships with changes in water zone and land cover in the eastern part using remote sensing and GIS. Environmental Monitoring and Assessment. 2021; 193(2), 70.
[11]. Rashki A, Kaskaoutis DG, Goudie AS, Kahn RA. Dryness of ephemeral lakes and consequences for dust activity: The case of the Hamoun drainage basin, southeastern Iran. Science of The Total Environment. 2013; 463-464C: 552-564.
[12]. Sacchi LV P, Powell A, Gasparri NI, Grau R. Air quality loss in urban centers of the Argentinean Dry Chaco: Wind and dust control as two scientifically neglected ecosystem services. Ecosystem Services. 2017; 24: 234-240.
[13]. Kaftargi, O S, Miri A., Noori S, Ahmadpour, M. The damage cost of dust storms on roads in the Sistan region during 2017-2019. Journal of Natural Environmental Hazards. 2022; 10(30).
[14]. Maleki, S, Soffianian, A R., Koupaei, S S, Pourmanafi, S, Saatchi S. Wetland restoration prioritizing, a tool to reduce negative effects of drought; An application of multicriteria-spatial decision support system (MC-SDSS). Ecological engineering, 2018; 112, 132-139.
[15]. Bekchanov M, Bhaduri A, Ringler C. Potential gains from water rights trading in the Aral Sea Basin. Agricultural Water Management. 2015; 152: 41-56.
[16]. Aili A, Kim Oanh N, Abuduwaili J. Variation trends of dust storms in relation to meteorological conditions and anthropogenic impacts in the northeast edge of the Taklimakan desert, China. Open Journal of Air Pollution. 2016; 5: 127-143.
[17]. Miri H, Ahmadi, MR, Ekhtesasi N, Panjehkeh A. Ghanbari. Environmental and socio‐economic impacts of dust storms in Sistan Region, Iran. International Journal of Environmental Studies. 2009; 66: 343-355.
[18]. Ranjbar M, Iranmanesh F. Effects of “drought” on “wind eroding and erosion” in Sistan region with use of satellite multiple images. Islamic Azad University, Shahre Rey Branch. 2008; p14-30
[19]. Ekhtesasi M, Gohari Z. Determining area affected by dust storms in different wind speeds, using satellite images. Desert. 2012; 17: 193-202.
[20]. Cao H, Amiraslani F, Liu J, Zhou N. Identification of dust storm source areas in West Asia using multiple environmental datasets. Science of the Total Environment. 2015; 502: 224-235
[21]. Behrooz RD, Gholami H, Telfer MW, Jansen JD, Fathabadi A. Using GLUE to pull apart the provenance of atmospheric dust. Aeolian Research. 2019; 37: 1-13.
[22]. Boloorani, A D, Papi, R., Soleimani M., Karami L, Amiri F, Samany, N N. Water bodies changes in Tigris and Euphrates basin has impacted dust storms phenomena. Aeolian Research. 2021; 50, 100698.
[23]. Mahdavi S, Salehi B, Granger J, Amani M, Brisco B, Huang W. Remote sensing for wetland classification: A comprehensive review. GIScience & Remote Sensing. 2018; 55 (5), 623–658.
[24]. El-Asmar H M, Hereher M E, El Kafrawy, S B. Surface area change detection of the Burullus Lagoon, North of the Nile delta, Egypt, using water indices: a remote sensing approach. Journal Remote Sensing Space Science. 2013; 16:119–123.
[25]. Jawak, S D, Luis A J. A rapid extraction of water body features from antarctic coastal oasis using very high-resolution satellite remote sensing data. Aquatic Procedia. 2015; 4, 125-132.
[26]. Teng, J., Xia, S., Liu, Y., Yu, X., Duan, H., Xiao, H., & Zhao, C. Assessing habitat suitability for wintering geese by using Normalized Difference Water Index (NDWI) in a large floodplain wetland, China. Ecological Indicators. 2021; 122, 107260.
[27]. Ashok A, Rani H P, Jayakumar K V. Monitoring of dynamic wetland changes using NDVI and NDWI based landsat imagery. Remote Sensing Applications: Society and Environment. 2021; 23, 100547.
[28]. Bhatnagar S, Gill L, Regan S, Naughton O, Johnston P, Waldren S, Ghosh B. Mapping vegetation communities inside wetlands using Sentinel-2 imagery in Ireland. International Journal of Applied Earth Observation and Geoinformation. 2020; 88: 102083.
[29]. Ebrahimi Z, Vali A, Khosroshahi M, Ghazavi R. Investigation of the role of bed dried Gavkhooni wetland on the production of the internal dust using remote sensing and duststorms (Case study :Isfahan province), Iranian Journal of Rangeland and Desert Research. 2017; 24,1, 152-164
[30]. Bullard J, Harrison S, Baddock M,  Drake N, Gill T, McTainsh G, Sun Y. Preferential dust sources: A geomorphological classification designed for use in global dust‐cycle models. Journal of Geophysical Research: Earth Surface. 2011; 116: F04034.
[31]. Mahowald NM, Ballantine J, Feddema J, Ramankutty N. Global trends in visibility: implications for dust sources. Atmospheric Chemistry and Physics. 2007; 7: 3309-3339.
[32]. Zende CSr, Newman D, Torres O. Spatial heterogeneity in aeolian erodibility: Uniform, topographic, geomorphic, and hydrologic hypotheses. Journal of Geophysical Research: Atmospheres. 2003; 108: D14.
[33]. Huneeus N. Schulz M, Balkanski           Y, Griesfeller J, Prospero J, Kinne S, Bauer S, Boucher O, Chin M, Dentener F, Diehl T, Easter R, Fillmore D,  Ghan S,  Ginoux P,  Grini A,  Horowitz L,  Koch D,  Krol M, Landing W, Liu X,  Mahowald N, Miller R, Morcrette J, Myhre G, Penner J,  Perlwitz J, Stier P,  Takemura T, Zender C. Global dust model intercomparison in AeroCom phase I. Atmospheric Chemistry and Physics. 2011; 11: 7781-7816.
[34]. Alizadeh-Choobari O, Zawar-Reza P, Sturman A. The “wind of 120 days” and dust storm activity over the Sistan Basin. Atmospheric research. 2014; 143: 328-341.
[35]. Cao H, Liu J, Wang G, Yang G, Luo L. Identification of sand and dust storm source areas in Iran. Journal of Arid Land, 2015; 7: 567-578.
[36]. Mc,Feeters SK. The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. International Journal of Remote Sensing. 1996; 17: 1425-1432.
[37]. Ranjbar, M, Iranmanesh F. Effects of" drought" on" wind eroding and erosion" in Sistan region with use of satellite multiple images. In Proceedings of the 3rd WSEAS international conference on Engineering mechanics, structures, engineering geology. 2010; pp. 510-514
Volume 9, Issue 4
January 2023
Pages 761-770
  • Receive Date: 11 July 2022
  • Revise Date: 19 August 2022
  • Accept Date: 19 December 2022
  • First Publish Date: 22 December 2022
  • Publish Date: 22 December 2022