Watershed Engineering and Management

In collaboration with Iranian Watershed Management Association

Current Issue

By Issue

By Author

By Subject

Author Index

Keyword Index

About Journal

Aims and Scope

Publication Ethics

Indexing and Abstracting

FAQ

Peer Review Process

Guide for Authors

Receiving the code ORCID

Reviewers

Publons membership guide

Detection of dust sources by land use type, using remote sensing techniques and fuzzy logic, case study: south-east Ahwaz

Document Type : Research Paper

Authors

1 tehran

2 p

3 Department of Forest, Range and Watershed Management, Science and Research Branch, Islamic Azad University, Tehran, Iran

4 behbahan

Abstract

Dust storms is one of the most important environmental hazards, especially in arid and semi-arid climates, which causes irreparable damages to the various dimensions of the environment. The aim of this study was to identify dust sources in south-east Ahwaz, using a remote sensing technique and fuzzy logic. For this purpose, the satellite images of dust events of Ahwaz City were investigated and the wind characteristic of the study area were studied by plotting the storm rose of Ahvaz Synoptic Station. In the next step, the criteria were categorized into two categories: soil moisture, land surface temperature and vegetation constitute the main layers and land use, spatial data of soil, climate, slope and sedimentology were used as constraint layers. The main layers were extracted from Landsat OLI-TIRS satellite images. The Boolean method were used to standardize the constraint layers, and the fuzzy membership functions were used to standardize the main layers. Also, main layers weighting was done using fuzzy analytic hierarchy process. Finally, the dust sources map was obtained by overlapping the layer. To validate the results, 44 ground control point were selected from the study area that showed high accuracy (81.8%) for identified areas. Based on investigating of satellite image and storm rose of Ahvaz Synoptic Station, the south-east of Ahwaz was recognized as dust-generating source and 145162.01 ha of lands are dust generating sources from which 69343/01 ha (47.77%) belongs to destroyed rangelands and 335.99 ha (0.23%) belongs to Canebrake, contains the highest and lowest level of sources of dust production in the study area, respectively.

Keywords

References
  1. Arami, S.A., M. Ownegh, A. Mohamadianbehbahani and M. Akbari. 2018. The analysis of dust hazard studies in southwest region of Iran in 22 Years (1996-2017). Journal of Spatial Analysis Environmental Hazarts, 5: 39-66 (in Persian).
  2. Azizi, G., A. Shamsipour, M. Miri and T. Safarrad. 2012. Statistic and synoptic analysis of dust phenomena in west of Iran. Journal of Environmental Studies, 38: 123-124 (in Persian).
  3. Azizi, G., M. Miri and S.O. Navabi. 2012. Tracing analysis of dust phenomena in west of Iran. Journal of Arid Region Geographic Studies, 7: 63-81 (in Persian).
  4. Baharvand, S., S. Soori and J. Rahnama Rad. 2017. Environmental hazards zonation landslide, earthquake, flood and erosion using AHP fuzzy method, case study: Vark Basin. Journal of RS and GIS for Natural Resources, 8: 89-103 (in Persian).
  5. Entezari, A., A. Amir Ahmadi, K. Aliabadi, M, Khosravian and M. Ebrahimi. 2016. Monitoring land surface temperature and evaluating change detection land use, case study: Parishan Lake Basin. Journal of Hydrogeomorpology, 8: 113-139 (in Persian).
  6. Fallah Zazuli, M., Vafaeinezhad, M.M. Kheirkhah Zarkesh and F. Dehka. 2014. Monitoring and synoptic analysis of dust haze phenomenon using remote sensing and GIS, case study: June 18, 2012 Dust haze. Journal of Scientific Research Quarterly of Geoghraphical Data, 91: 69-80 (in Persian).
  7. Ghafari, D. and R. Mostafazadeh. 2015. An investigation on sources, consequences and solutions of dust storm phenomenon in Iran. Journal of Conservation and Utilization of Natural Resources, 4: 107-123 (in Persian).
  8. Ghodrati, M. 2014. Applied learning of Arc GIS 10.2 with emphasis on water engineering and environmental issues. Tehran, Simayedanesh, 308 pages (in Persian).
  9. Goudie A.S. and N.J. Middleton. 2001. Saharan dust storms: nature and consequences. Earth-Science Reviews, 56: 179-204.
  10. Guan, Q., L. Haiping, N. Pan, R. Zhao, L. Yang, Y. Yang and J. Tian. 2019. Contribution of dust in northern China to PM10 concentrations over the Hexi Corridor. Journal of Science of the Total Environment, 660: 947-953.
  11. Hahnenberger, M. and K. 2014. Geomorphic and land cover identification of dust sources in the eastern great basin of Utah, U.S.A. Journal of Geomorphology, 204: 657-672.
  12. Hashemi, S.M., K. Alavipanah and M. Dinarvandi. 2013. LST assessment using thermal remote sensing in urban environment. Journal of Environmental Studies, 39: 81-92 (in Persian).
  13. Heidarian, P., A. Azhdari, M. Jodaki, J. Darvishi khatooni and R. Shahbazi. 2017. Identifying interior sources of dust storms using remote sensing, GIS and geology, case study: Khuzestan Province. Scientific Quarterly Journal, 105: 33-47 (in Persian).
  14. Cao, H., F. Amiraslani, J. Liu and N. Zhou. 2015. Identification of dust storm source areas in west Asia using multiple environmental datasets. Journal of Science of the Total Environment, 502: 224-235.
  15. Jahanbakhsh Asl, S., M. Asad and E. Akbari. 2016. The potential evaluation of wind power plants by using the Fuzzy-AHP methods in GIS, case study: north-east of Iran. Journal of Geography and Planning, 56: 55-72 (in Persian).
  16. Jalali, N., F. Iranmanesh and M.H. Davoodi. 2017. identification on dust storm sources and their affecting areas in south-west provinces of Iran, using MODIS image. Journal of Watershed Engineering and Management, 9: 318-331 (in Persian).
  17. Kang, L., J. Huang, S. Chen and X. Wang. 2016. Long-term trend of dust events over Tibestan Plateau during 1961-2010. Journal of Atmospheric Environment, 125: 188-198.
  18. Kermani, M., E. Taherian and M. Izanloo. 2016. Analysis of dust and dust storms in Iran, investigation internal and external origin of dust storms in Iran using satellite images and control methods. Rahavard Salamat Journal, 2: 39-51 (in Persian).
  19. Khanmohammadi, F., M. Homaee and A.A. Noroozi. 2015. Soil moisture estimating with NDVI and land surface temperature and normalized moisture index using MODIS images. Journal of Water and Soil Resources Conservation, 4: 37-45 (in Persian).
  20. Kimura, R., L. Bai and J. Wang. 2009. Relationships among dust outbreaks, vegetation cover, and surface soil water content on the loess plateau of China. Journal of Catena, 77: 292-296.
  21. Lee, J.A., M.C. Baddock, M.J. Mbuh and T.E. Gill. 2012. Geomorphic and land cover characteristics of aeolian dust sources in west Texas and eastern New Mexico, USA. Journal of Aeolian Research, 3: 459-466.
  22. Rahdary, V., A. Soffianian, S. Maleki Najfabdai, S.J. Khajeddin and M. Rahdari. 2016. Land use/cover mapping using satellite data and geographic information system, case study: mouth wild life sanctuary. Journal of Environmental Science and Technology, 18: 79-89 (in Persian).
  23. Rajabzadeh, F. 2017. Land use changes by using RS and Markov Chain technique in the south-west of Tehran. Journal of Water and Soil Resources Conservation, 6: 59-71 (in Persian).
  24. Rashki, A., D.G. Kaskaoutis, A.S. Goudie and R.A. Kahn. 2013. Dryness of ephemeral lakes and consequences for dust activity, the case of the Hamoun Drainage Basin, Southeastern Iran. Journal of Science of the Total Environment, 463: 552-564.
  25. Rezaei Moghaddam, M.H. and M. Mahdian Boruojeni. 2016. Provenance-finding of dust storms using AVHRR sensor images of NOAA satellite, case study: south-west of Iran. Geography and Sustainability of Environment, 17: 1-13 (in Persian).
  26. Rivandi, A., M. Mirrokni and A. Mohammadiha. 2013. Investigation of formation and propagation of dust storms entering to the west and south-west of Iran using Lagrangian particle diffusion model, HYSPLIT. Journal of Climate Research, 13: 1-16 (in Persian).
  27. Sabziparvar, A.A., E. Fakharizadeh Shirazi, M.J. Nazemosadat and Y. Rezaei. 2016. Validation of Land Surface Temperature (LST) from Landsat-5 and MODIS images, case study: wheat fields of Marvdasht Plain. Journal of Water and Soil Conservation, 23: 25-43 (in Persian).
  28. Shamshiri,, R. Jafari, S. Soltani and N. Ramezani. 2014. Dust detection and mapping in Kermanshah Province using MODIS satellite imagery. Iranian Journal of Applied Ecology, 8: 29-42 (in Persian).
  29. Sobhani, B., B. Salahi and A. Goldust. 2015. Study the dust and evaluation of its possibility prediction based on statistical methods and ANFIS model in Zabol University. Geography and Development Iranian Journal, 38: 123-138 (in Persian).
  30. Taei Samiromi. S., H. Moradi, M. Khadagholi and M. Ahmad. 2014. Study of factors affecting dust phenomenon in west of Iran. Journal Management System, 27: 1-10 (in Persian).
  31. Tsolmon, R., L. Ochirkhuyag and T. Sternberg. 2008. Monitoring the source of trans-national dust storms in north-east Asia. International Journal of Digital Earth, 1: 119-129.
  32. Yasssin, M.F., S.K. Almutairi and A. Al-Hemoud. 2018. Dust storms backward trajectories' and source identification over Kuwait. Journal of Atmospheric Research, 212: 158-171.
  33. Zoljoodi, M., A. Didevarasl and A. Ranjbar Saadatabadi. 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.
Watershed Engineering and Management
Volume 13, Issue 2
July 2021
Pages 255-268
Files
Share
How to cite
Statistics