Assessing the Vulnerability of Rural Areas Against Natural Hazards (Case Study: Villages of Oraman Region)

Document Type : applied research

Authors

1 PhD, Department of Geomorphology, Faculty of Geography, University of Tehran, Tehran, Iran

2 M.A, Department of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran

3 PhD, Department of Geomorphology, Faculty of Planning and Environmental Sciences, University of Tabriz, Tabriz, Iran

4 B.A, Department of Environment, Faculty of Natural Resources and Environment, Malayer University, Malayer, Iran

Abstract

Natural hazards are one of the most important challenges for the advancement of mountain areas. One of the areas exposed to natural hazards is the Oraman region in the west of the country. Considering the importance of the subject, in this research, the vulnerability of the villages of Oraman region to natural hazards has been evaluated. Descriptive-analytical methods have been used in this research. The most important research data were the digital model of 30 meters high STRM, the digital layer of 1:100000 geological maps of the area and the information layers related to the used parameters. The most important used tools were ArcGIS and Expert Choice. Fuzzy-AHP integrated model is also used in this research. In this study, the vulnerable areas against landslides, floods and earthquakes have been identified first, and then a map of the region's risk status has been prepared. The results of this study have shown that the central areas of Oraman (including the villages of Bargharo, Nayabad, Degagah, Maziben, Nasl and Boridar) have high vulnerability potential in terms of all three hazards (landslides, earthquakes, and floods). More findings show, it can be said that the Oraman region has a high vulnerability potential against natural hazards, so it is necessary to consider factors such as the stability of buildings against earthquakes in the development planning of this region, Determining the boundaries of rivers and preventing settlements from advancing towards them in flood-prone areas, as well as the potential for slope movement.
 
Extended Abstract
 
Introduction
In recent years, under the influence of the increasing trend of population, residential and man-made areas have been associated with a lot of growth, and considering that in many areas, the environmental strength of the region has not been paid attention to, the development of these uses increases the possibility of Risks have become normal. Based on this, the increase and intensity of some natural hazardous events are under the direct influence of human activities. The surveys conducted on natural hazards indicate that these hazards are on the rise and millions of people around the world are exposed to them. The vulnerability of residential areas to natural hazards is influenced by various geomorphological, geological and hydroclimatic factors, and each area may be exposed to one or more types of hazards. One of the areas that are exposed to several types of natural hazards is the Oraman region in the west of the country. The location of the Oraman region in the Zagros Mountain unit has caused a large part of this region to be included in the mountain unit and considering that the Oraman mountains have significant snowfall and also considering the proximity to the main fault lines and the tectonic nature of the area. This area is exposed to the dangers of earthquakes, landslides and floods. Considering the importance of the subject, in this research, the vulnerability of the villages of Oraman region to natural hazards has been evaluated.
 
Methodology
Descriptive-analytical methods have been used in this research. The most important research data were the digital model of 30 meters high STRM, the digital layer of 1:100000 geological maps of the area and the information layers related to the used parameters. The most important tools used were ArcGIS (executing the Fuzzy-AHP model and preparing the desired maps) and Expert Choice (weighting the desired parameters). Fuzzy-AHP integrated model is also used in this research. According to the subject and objectives, this research has been done in 4 general stages. In the first stage, by using 8 parameters of height, slope, direction of slope, distance from the river, distance from the communication road, type of land use, lithology and distance from the fault, vulnerable areas against slope movements have been identified. In the second stage, by using 6 parameters of slope, slope direction, height, distance from the river, land use and lithology, vulnerable areas against floods have been identified. In the third stage, by using 4 parameters of distance from the fault, distance from earthquake epicenters, lithology and slope, vulnerable areas against earthquakes have been identified. In the fourth stage, based on the results obtained from the previous stages, the hazard map of Oraman region has been prepared.
 
Results and Discussion
Examining the geomorphology and geology of the region shows that this region has a high potential for the occurrence of hazards caused by slope movements, floods and earthquakes. The results of the identification of areas prone to landslides have shown that many parts of the area are prone to landslides, the main reason of which can be considered the existence of steep slopes and undercuts caused by the river and communication road. The results of the evaluation of the region's vulnerability to flood risk have shown that considering that a large part of the studied area is located in the mountain unit, therefore only a few parts of the area that are located near the river and at low altitudes are in They are at risk of flooding. Also, due to the fact that a large part of the studied area is located in the vicinity of fault lines and earthquake epicenters, and also due to the mountainous nature of the area, this logic has a high vulnerability potential against earthquakes.
 
Conclusion
The natural condition of Oraman region has caused this region to have a high-risk potential. Investigations have shown that in recent years, this area has been faced with various hazards such as landslides, floods, and earthquakes, and this is the reason for investigating these hazards in this area. The results of this research have shown that the central areas of Oraman, including the villages of Bargharo, Nayabad, Degagah, Maziben, Nasl and Boridar, because they have the potential of damage in terms of all three hazards (landslides, earthquakes and floods). They are highly adaptable; they are considered as the most vulnerable villages in Oraman region. According to the obtained results, it can be said that the Oraman region has a high vulnerability potential against natural hazards, so it is necessary to consider factors such as the stability of buildings against earthquakes in the development planning of this region. Special attention should be paid to rivers and preventing settlements from moving towards them in flood-prone areas, as well as the potential of slopes.

Keywords

Main Subjects


  1. Ahmadzadeh, H., & Davarpanah, M. (2023). Spatial Analysis of Flood Risk with the Approach of Landuse Planning and Management in Urmia City. Journal of Geography and Environmental Hazards, 12(2), 63-80. https://doi.org/10.22067/geoeh.2022.77571.1255 [In Persian]
  2. Amirian, S., Safaeipour, M., Hosseini Amini, H., & Ebadi H. (2020). Safeguarding Zoning and Vulnerability in Ahvaz City from the Passive Defense Perspective. jgs. 20(56), 299-309. http://dx.doi.org/10.29252/jgs.20.56.299 [In Persian]
  3. Asmelash, A., Giulio, B., & Woldearegay, K. (2019). GIS-based landslide susceptibility evaluation using analytical hierarchy procsses (AHP) approach: the case of Tarmaber District, Ethiopia. Momona Ethiopian Journal of Scince, 11(1), 14-36. http://dx.doi.org/10.4314/mejs.v11i1.2
  4. Atashafrooz, N., & Safaee, M. (2021). Landslide Micro-Zoning Using DEMATEL Technique and Fuzzy AHP (Case Study: the County of Dehdez in Khuzestan Province). Journal of Sustainable Urban & Regional Development Studies (JSURDS), 2(2), 61-81. https://www.srds.ir/article_134524.html [In Persian]
  5. Beyene, E., & Minal, A.S. (2023). Modeling urban land use dynamics using Markov-chain and cellular automata in Gondar City, Northwest Ethiopia. Chinese Journal of Population, Resources and Environment, 21(2), 111-120. https://doi.org/10.1016/j.cjpre.2023.06.007
  6. Bronfman, N.C., Cisternas, P.C., Repetto, P.B., & Castaneda, J.V. (2019). Natural disaster preparedness in a multi-hazard environment: Characterizing the sociodemographic profile of those better (worse) prepared. PLoS One, 14(4). https://doi.org/10.1371/journal.pone.0214249
  7. Chen, Z., Huang, Y., He, X., Shao, X., Li, L., Xu, C., Wang, S., Xu, X., & Xiao, Z. (2023). Landslides triggered by the 10 June 2022 Maerkang earthquake swarm, Sichuan, China: spatial distribution and tectonic significance. Landslides, 20(10),2155–2169. https://doi.org/10.1007/s10346-023-02080-0
  8. Chini, M., Pelich, R., Pulvirenti, L., Pierdicca, N., Hostache, R., & Matgen, P. (2019). Sentinel-1 InSAR Coherence to Detect Floodwater in Urban Areas: Houston and Hurricane Harvey as a Test Case, Remote Sens, 11, 107. http://dx.doi.org/10.3390/rs11020107
  9. Du, W., Wu, K., Fu, X., Sheng, Q., Chen, J., & Wang, X. 2023 Failure history, mechanism, and recent run-out reproduction of the Xinhua Village landslide triggered by the 2022 Ms 6.1 Lushan earthquake. Landslides, 20, 2675–2693. https://doi.org/10.1007/s10346-023-02148-x
  10. El Jazouli, , Barakat, A., & Khellouk, R. (2019). GIS-multicriteria evaluation using AHP for landslide susceptibility mapping in oum Er high basin (Morocco). Geoenviromental Disasters, 6 (3), 1-12. https://geoenvironmental-disasters.springeropen.com/articles/10.1186/s40677-019-0119-7
  11. Fan, Y., & Ma, S. (2024). Integrating fuzzy analytic hierarchy process into ecosystem service-based spatial planning: A case study of the Shenyang metropolitan area, China.Ecological Informatics, 81. https://doi.org/10.1016/j.ecoinf.2024.102625
  12. Ganjaeian, H. (2020). Geomorphological hazards of urban areas, study methods and control strategies. Entekhab publication, P144. https://www.gisoom.com/book/11628118 [In Persian]
  13. Ganjaeian, H. (2024). Spatial and temporal analysis of earthquakes in Iran During the years 1907 to 2023. Journal of Geography and Environmental Hazards, 13(4), 222-243. https://doi.org/10.22067/geoeh.2024.87246.1470 [In Persian]
  14. Ganjaeian, H. (2025). Evaluating the seismic potential of megacities in Iran. Scientific- Research Quarterly of Geographical Data (SEPEHR), 33(132), 173-188. https://doi.org/10.22131/sepehr.2024.2019284.3047 [In Persian]
  15. Ganjaeian, H., Rezaei Arefi, M., Peysoozi, T., & Emami, K. (2021). Zonning susceptible areas of landslide using WLC and OWA methods -A case study in Mountain cliff Khan, Iran. Sustainable Earth Trends, 1(2), 35-43. https://doi.org/10.52547/sustainearth.1.2.43
  16. Ganjaeian, H., Yamani, M., Goorabi, A., & Maghsoudi, M. (2021). Adaptation of Morphotectonic Indices with Seismic Centers in Zagros Northwest (Sirvan and Qarahsu Basins). Geography and Environmental Planning, 31(4), 113-130. https://doi.org/10.22108/gep.2021.124247.1335 [In Persian]
  17. Ganjaeian, H., Yamani, M., Goorabi, A., & Maghsoudi, M. (2023). Estimation of land surface displacement in Kermanshah plain and effect of earthquake Ezgele on displacement process using SBAS method. Quantitative Geomorphological Research, 12 (1), 1-13. https://doi.org/10.22034/gmpj.2021.141038 [In Persian]
  18. He, X., Xu, C., Qi, W., & Huang, Y. (2024). Contrasting landslides distribution patterns and seismic rupture processes of 2014 Jinggu and Ludian earthquakes, China. Sci Rep, 14. https://doi.org/10.1038/s41598-024-79682
  19. Herryal, Z. A., Yustiningrum, E., Andriana, N., Sagala, A., & Anggun, M.S. (2017). Measuring Community Resilience to Natural Hazards: Case Study of Yogyakarta Province. Disaster Risk Reduction in Indonesia, 609-633. http://dx.doi.org/10.1007/978-3-319-54466-3_25
  20. Jafari, G.H. & Khodaei, R. (2024). Zoning Land Surfaces of Shahroud Basin against the Occurrence of Landslides Using the Shannon Model. Journal of Geography and Environmental Hazards12(4), 253-274. https://doi.org/10.22067/geoeh.2022.75401.1183 [In Persian]
  21. Khattak, M. S., Anwar, F., Usman Saeed, T., Sharif, M., Sheraz, K., & Ahmed, A. (2016). Floodplain Mapping Using HEC-RAS and ArcGIS: A Case Study of Kabul River. Civil engineering, 40, 1375-1390. http://dx.doi.org/10.1007/s13369-015-1915-3
  22. Kimura, H., & Yamaguchi, Y. (2000). Detection of landslide Areas Using Satellite Radar Interferometry. Photogrammetric Engineering & Remote Sensing, 66 (3), 337-344. https://www.researchgate.net/publication/264004819
  23. Klai, A., Haddad, R., Bouzid, M.K., & Rabia, M.C. (2020). Landslide susceptibility mapping by fuzzy gamma operator and GIS, a case study of a section of the national road n°11 linking Mateur to Béja (Nortshern Tunisia). Arabian Journal of Geosciences, 13(58). https://doi.org/10.1007/s12517-019-5029-1
  24. Ksantini, F., Sdiri, A., Aydi, A., Almeida-Naunay, A.F., Achour, H., & Tarquis, A.M. (2025). A comparative study based on AHP and fuzzy logic approaches for landslide susceptibility zoning using a GIS-based multi-criteria decision analysis. Euro-Mediterr J Environ Integr, 10, 649–668. https://doi.org/10.1007/s41207-024-00552-w
  25. Kumar, S., Midya, K., Ghosh, S., Kumar, P., & Mishra, V.N. (2025). Land use change analysis and prediction of urban growth using multi-layer perceptron neural network Markov chain model in Faridabad- A data-scarce region of Northwestern India. Physics and Chemistry of the Earth, Parts A/B/C, 138. https://doi.org/10.1016/j.pce.2025.103884
  26. Lajmorak, M. & Piri, Z. (2023). Landslide Hazard Zoning Using Hierarchical Analysis Process (AHP) Model and GIS Technology (Case Study: Baghmalek County). Journal of Geography and Environmental Hazards12(3), 193-215. https://doi.org/10.22067/geoeh.2022.77009.1239 [In Persian]
  27. M.j. (2015). Analysis on the flood vulnerability in the Seoul and Busan metropolitan area, Korea using spatial database, EGU General Assembly, 17 (1). https://ui.adsabs.harvard.edu/abs/2015EGUGA..17.4667L/abstract
  28. Mohammahkhan, S., Ganjaeian, H., Shahri, S., & Abbaszade, A. (2019). Predicting the trend of urban development toward hazardous areas using multi temporal images (Case Study: Marivan City). Scientific- Research Quarterly of Geographical Data (SEPEHR), 28(110), 107-117. https://doi.org/10.22131/sepehr.2019.36615 [In Persian]
  29. Nayyeri, H., Ganjaeian, H., & Amani, K. (2018). Evaluation of Environmental Indicator of Perimeters of the Land Suitability for the Development of the Sarvabad City by Combining Two Models of Network Analysis and Fuzzy Logic. Journal of Urban Social Geography, 5(1), 49-62. https://doi.org/10.22103/JUSG.2018.1961 [In Persian]
  30. Nayyeri, H., Salari, M., Ganjaeian, H., Amani, K. (2017). Geomorphological Assessment of Land Suitability for the Physical Expansion of Sanandaj City Applying Restricted Areas. Geographical Urban Planning Research (GUPR), 5(1), 127-145. https://doi.org/10.22059/jurbangeo.2017.63213 [In Persian]
  31. Negahban, S., Ganjaeian, H., Ebrahimi, A. & Emami, K. (2019). Monitoring and predicting the trend of changes in residential areas using multi-timed images (Case study: Songhor city). Journal of the Earth and Space Physics, 45(2), 343-354. https://doi.org/10.22059/jesphys.2019.275076.1007084 [In Persian]
  32. Negahban, S., Ganjaeian, H., Ebrahimi, A., & Gheysarian, S.S. (2025). Analysis of the Roles of Environmental Factors in the Occurrence of Floods Using the Google Earth Engine System (Case Study: West of Golestan Province). Geography and Environmental Planning, 35(4), 1-18. https://doi.org/10.22108/gep.2024.142342.1659 [In Persian]
  33. Negahban, S., Ganjaeian, H., Feraydooni Kordestani, M., & Cheshmeh sefidi, Z. 2019. Assessing the physical development of cities and extending to geomorphological prohibited areas Using LCM (Case Study: Sanandaj City). Journal of Natural Environmental Hazards, 8(20), 39-52. https://doi.org/10.22111/jneh.2018.21943.1317 [In Persian]
  34. Negahban, S., Peysoozi, T., Ganjaeian, H., & Norozi, M. (2021). Identify areas prone to landslide and vertical displacement using Radar images (Case study: Lavasan urban area and urban margin). Journal of Geography and Environmental Hazards, 10(3), 1-18. https://doi.org/10.22067/geoeh.2021.71728.1094 [In Persian]
  35. Nosrati, M., Khezri, S., & Kazemi, A. (2022). The Investigation and Analysis of Natural Hazards and Human and Environmental Issues in Sanandaj for Providing Appropriate Solutions. Journal of Geography and Environmental Hazards11(1), 99-115. https://doi.org/10.22067/geoeh.2021.71620.1092 [In Persian]
  36. Oliveira, C.S., Roca, A., & Goula, X. (2006). Assessing and managing earthquake risk: Geo-scientific and Engineering Knowledge for Earthquake Risk Mitigation: developments, tools, techniques. Springer. http://dx.doi.org/10.1007/978-1-4020-3608-8_1
  37. Peng, Y. (2012). Regional earthquake vulnerability assessment using a combination of MCDM methods. Ann Oper Res. http://dx.doi.org/10.1007/s10479-012-1253-8
  38. Pireh, M., & Ganjaeian, H. (2024). Analysis of landslides occurred in connection with environmental factors (Case study: Sanandaj County). Geography and Human Relationships, 7(3), 262-278. https://doi.org/10.22034/gahr.2025.458065.2135 [In Persian]
  39. Qi, S., Hu, S., & Cao, S. (2024). Spatial and temporal changes of social vulnerability of cities to natural hazards in Zhejiang province, China. Heliyon, 10(6). https://doi.org/10.1016/j.heliyon.2024.e27120
  40. Ranjbar, M., & Bayat, S. (2009). Study of natural hazards in Khomein County with emphasis on earthquakes and crisis management. Zagros Landscape Geography, 2 (4), 49-37. https://www.sid.ir/paper/175735 [In Persian]
  41. Safari namivandi, M., Ganjaeian, H., Nosrati, M., & Mohammadian, K. (2024). Identification of flooded areas and analysis of factors influencing its occurrence (Case study: Southeast of Sistan and Baluchestan province). Quantitative Geomorphological Research, 13(2), 181-194. https://doi.org/10.22034/gmpj.2024.449586.1494 [In Persian]
  42. Saffari, A. , Kiani, S., & Abbaszadeh, A. (2023). Potential Assessment of Vulnerable Areas Against Natural Hazards (Case Study: Roodehen City). Journal of Geography and Environmental Hazards12(2), 267-283. https://doi.org/10.22067/geoeh.2022.73710.1249 [In Persian]
  43. Salari, M., Nayeri, H., Amani, K. & Ganjaeian, H. (2017). Locating Suitable Directions for Kamyaran Urban Development through a Hazardology Approach based on the Application of Geomorphologically Restricted Areas. Environmental Management Hazards, 4(4), 419-436. https://doi.org/10.22059/jhsci.2018.252694.341 [In Persian]
  44. Tian, H., Chang, C., Bo, J., Sun, X., Feng, F., Dai, T., Zhou, W., Li, H., & Gu, J. (2024). Research on the three-dimensional spatio-temporal dynamic evolution and kinematic characteristics of loess landslides induced by strong earthquakes. Bull Eng Geol Environ, 83, 230. https://doi.org/10.1007/s10064-024-03736-4
  45. Wang W., Zhang W., & Xia Q. (2012). Landslide Risk Zoning Based on Contribution Rate Weight Stack Method. International Conference on Future Energy, Environment, and Materials. http://dx.doi.org/10.1016/j.egypro.2012.01.030