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Manuscript ID : 14652 Visit : 88 Page: 77 - 89

10.22034/jest.1970.14652

Article Type: Original Research

Landslide risk zoning using Spatial Multi-Criteria Evaluation method (SMCE) (Case study: Fereidan watershed)

Subject Areas : ارزیابی پی آمدهای محیط زیستی

Seyed Zeynalabedin Hosseini 1 (Assistant Professor, Remote Sensing and GIS, Faculty of Natural Resources and Desert Studies, Yazd University, Yazd, Iran. * (Corresponding Author))
Ehsan Arabian 2 (MSc, Remote Sensing and GIS, Faculty of Natural Resources and Desert Studies, Yazd University, Yazd, Iran.)
Reza Ghorbani 3 (MSc, Remote Sensing and GIS, Faculty of Natural Resources and Desert Studies, Yazd University, Yazd, Iran)
Solmaz Amoushahi 4 (PhD of Environmental Sscience, Gorgan University of Agricultural Science and Natural Resources, Golestan, Iran.)
Vahideh Tahmasebi 5 (MSc, Remote Sensing and GIS, Faculty of Natural Resources and Desert Studies, Yazd University, Yazd, Iran.)
Mohsen Sadeghian 6 (MSc, Arid Land and Desert Management, Faculty of Natural Resources and Desert Studies, Yazd University, Yazd, Iran.)

Received: 2016-01-13 Accepted : 2016-06-02 Published : 2019-06-22

Keywords: Locating, Landslide, Zoning, Spatial Multi-Criteria Evaluat,

Abstract :

Background and Objective: Landslides are classified as natural disasters that pose financial losses and deaths in the country annually. Besides, identification of high risk areas can be effective in reducing the damage and improving decisions on land-development policies. Preparation of landslide zoning map makes it possible to identify the vulnerable areas and use them in various environmental programs. In this study, the multi-criteria methods were presented to create the landslide capability map using geographical information system and decision rules. The aim of producing landslide capability map is to reduce the risks of landslides and support land development policies in the watershed scale. Method: In this regards, different factors such as geology, slope, aspect, landuse, distance to road, rivers and fault maps were employed. Additionally, slope and river maps were expressed as restrictions. After weighing the factors and sub-factors, the landslide sensitivity maps were converted to the values ranged as 0-1. Afterward, in terms of sensitivity the final map was classified to three classes of low risk, moderate risk and high risk. Findings: The results showed that some factors such as precipitation, geology and slope have the highest impact on landslide occurrence and should be considered with more emphasis in order to be used for planning and policy making in the study area. Discussion and Conclusion: According to the results, the first group factors including geology, landuse, slope and aspect and the second group factors including land distance from fault, river, road and rainfall are weighed as 0.6 and 0.4, respectively.

References:


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_||_

  1. Hassanzadeh Nafuti, M., 2000. Landslide risk zoning in Shalmanroud watershed ( Guilan province). master of degree thesis in watershed field, Tehran university (In Persian).
    2.
  2. Shariat Jafari, M., 1996. Landslide, basics and principles of natural slope stability. Sazeh publication, p. 218 ( In Persian).
    3.
  3. Nielsen, T.H., Wrigth, R.H., Vlasic, T.C., Spangle, W.E., 1979. Relative slope stability and land-use planning in the San Francisco Bay region, California. US Geological Survey Professional, P. 944.
    4.
  4. Haeri, S.M., Samiei, A.H., 1997. The slope of the new zones based on the risk of landslides zonation studies in Mazandaran Province, J. Earth Sci, 6(23), pp. 2-16.
    5.
  5. Nezhad Koorki, M., Ownegh, M., Sepehri, A.S., 2005. Landslide hazardous zoning in Golestan watershed Rudbar black, J. Agric. Sci. Nature. Resource, 12(3), pp. 91-99.
    6.
  6. Gupta, RP., Joshi, BC., 1989. Landslide hazard zoning using the GIS approach – a case study from the Ramganga catchment, Himalayas, Engineering Geology, 28, pp. 119–131.
    7.
  7. Magliulo, P., Di Lisio, A., Russo, F., Zelano, A., 2008. Geomorphology and landslide susceptibility assessment using GIS and bivariate statistics: a case study in southern Italy. Springer Science. Natural Hazards.
    8.
  8. Hassanzadeh Nafuti, M., 2010. Multiple models for landslide hazardous zoning, Proceedings of Indian Geotechnical Conference, 16-18 December.
    9.
  9. Foster, G. R. 2003., USER’S REFERENCE GUIDE. Revised Universal Soil Loss Equation Version 2, (RUSLE2).
    10.
  10. Aleotti ,P., Chowdhury ,R., 1999. Landslide hazard assessment: summary review and new perspectives. Bulletin of Engineering Geology and the Environment, 58, pp. 21– 44.
    11.
  11. Feiznia, S., 2000. Landslide hazardous zoning, Journal of Iran’s natural resources, pp. 207- 219.
    12.
  12. Ownegh, M. 2005. Landslide hazard zonation and damage watershed pilgrimage Gorgan, research projects, Gorgan University of Agricultural Sciences and Natural Resources.
    13.
  13. Azimpour, A., Sadough, H., Dalal oghli, A., Servati, M.R., 2009. Evaluation of AHP model results in landslide hazard zoning ( Case study: Aharchai watershed), Geographic space journal, 26, pp. 71-87 ( In Persian).
    14.
  14. Shadfar, S., Yamani, M., Ghodousi, J., Ghayoumian, J., 2007. Landslide hazardous zoning using hierarchical analysis method (Case study: Chalkarud Tonekabon Water Basin), Journal of Research and Development in Natural Resources, 75, pp. 118- 126 ( In Persian).
    15.
  15. Malczewski, J., 2006. GIS-based multi-criteria decision analysis: a survey of the literature. I. J. Geographic Information Sci. 20(7), pp. 703-726.
    16.
  16. Guzzetti ,F., Carrarra, A., Cardinali, M., Reichenbach, P., 1999. Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy, Geomorphology, 31, pp. 181–216.
    17.
  17. Ghodsipour, H., 2010. Analytical hierarchy process, Amirkabir university publication, seventh edition (In Persian).  
    18.
  18. Jamali, A.A., Ashouri, P., Zarekia, S., 2010. Determining and prioritizing of flood spreading suitable sites for qanats, wells and springs recharging in arid region, pastures and desserts of Iran journal, 17 (1), pp. 106- 114 (In Persian).
    19.
  19. Dai, F.C., Lee, C.F., Ngai, YY., 2002, Landslide risk assessment and management, an overview, Eng Geo, 64, pp. 65–87.
    20.
  20. He, Y., Beighley, R.E., 2008, GIS-based regional landslide susceptibility mapping: a case study in southern California, Earth Surf. Process, Landforms, 33, pp. 380 –393.
    21.
  21. Jamali, A.A., Abdolkhani, A., 2009. Preparedness Against Landslide Disasters with Mapping of  Landslide Potential by GIS- SMCE (Yazd-Iran), International Journal of Geo informatics, 5, No. 4, pp. 25-31.
    22.
  22. Castellanos, E., Van Westen, C.J., 2005. Development of a system for landslide risk assessment for Cuba, Proceedings International Conference on Landslide Risk Management, May 31–June 3, 2005,Vancouver. Pp. 764.
    23.
  23. Sharifi, M.A., Retsios, V., 2003. Site selection for waste disposal through spatial multiple criteria decision analysis, Proceedings of the 3rdInternational conference on decision support for telecommunications and information society DSTIS, 4-6 September, Warsaw, Poland, p. 15.
    24.



 

 

 

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