AHP-based Susceptibility Analysis for Landslides in Fuman County, northwestern Iran
Alaleh Hamedi1; Sadeg Moharam Nejhad2; Hassan Heydari Mofrad3
- Department of Civil and Resources Engineering, Central Tehran Branch, Islamic Azad University, Tehran 1955847781, Iran
- Department of Civil and Resources Engineering, Central Tehran Branch, Islamic Azad University, Tehran 1955847781, Iran
- Department of Water and Environmental Engineering, Shahid Beheshti University, Tehran 1983717473, Iran
Landslides, multi-scale ground movements, significantly impact human lives and ecosystems, posing a major threat to rapidly growing regions. Effective sustainability planning is essential to mitigate these risks and support informed urban development and decision-making. This study focuses on assessing landslide hazards in Fuman County, Gilan Province, located in northwestern Iran. The research employs the Analytical Hierarchy Process (AHP) to classify landslide susceptibility, integrating various triggering factors such as topographic, geological, climatic, and anthropogenic variables. Data collection involved field surveys and analysis of remote sensing images, providing a comprehensive understanding of the region's risk profile. To ensure the accuracy of the results, the susceptibility map was validated using pixel-based assessments and remote sensing data fusion. These methods enhanced the precision of the hazard analysis, ensuring reliable identification of high-risk zones. Findings indicate that the most vulnerable areas are concentrated in the southern part of Fuman County, where the Alborz mountain range contributes to heightened susceptibility. This region's geological characteristics, combined with human activities and climatic conditions, exacerbate landslide risks. This study underscores the importance of hazard mapping and risk assessment in guiding sustainable development and disaster management strategies.The insights provided by this research can inform policymakers and urban planners in implementing effective mitigation measures to reduce potential damage and enhance resilience in landslide-prone areas.
Landslide susceptibility, Geohazards, AHP, Fuman County, Iran
The data supporting the findings of this study are available within article. No publicly archived dataset was generated.
This research received no external funding.
- AHP maps landslide susceptibility zones
- Southern Fuman shows highest risk areas
- Results support planning and hazard mitigation
- Abdı A., Bouamrane A., Karech T., Dahri N., Kaouachi A. (2021). Landslide susceptibility mapping using GIS-based fuzzy logic and the analytical hierarchical processes approach: A case study in Constantine (North-East Algeria). Geotechnical and Geological Engineering, 39, 5675-5691. https://doi.org/10.1007/s10706-021-01855-3.
- Agrawal N., Dixit J. (2022). Assessment of landslide susceptibility for Meghalaya (India) using bivariate (frequency ratio and Shannon entropy) and multi-criteria decision analysis (AHP and fuzzy-AHP) models. All Earth, 34(1), 179-201. https://doi.org/10.1080/27669645.2022.2101256.
- Akshaya M., Danumah J.H., Saha S., Ajin R.S., Kuriakose S.L. (2021). Landslide susceptibility zonation of the Western Ghats region in Thiruvananthapuram district (Kerala) using geospatial tools: A comparison of the AHP and Fuzzy-AHP methods. Safety in Extreme Environments, 3, 181-202. https://doi.org/10.1007/s42797-021-00042-0.
- Ardejani R.S. (2015). Preparing and Drawing Maps of Geomorphology of Western Gilan Province With The Scale 1: 25,000 A Case Study of The Range of Astara–Hawiq. Physical Geography Quarterly, 7(26), 25-38. https://doi.org/20.1001.1.20085656.1393.7.26.4.2.
- Ardejani S. (2019). The Study of Neotectonic using Geomorphologic Indices and Evidences: A Case Study of Karganrood Talesh Watershed in West Guilan Province. Journal of Geography and Environmental Hazards, 8(3), 127-141. https://doi.org/10.22067/geo.v8i3.83055.
- Ashrafi K., Valero M.A., Peixoto R.V., Artigas P., Panova M., Mas-Coma S. (2015). Distribution of Fasciola hepatica and F. gigantica in the endemic area of Guilan, Iran: Relationships between zonal overlap and phenotypic traits. Infection, Genetics and Evolution, 31, 95-109. https://doi.org/10.1016/j.meegid.2015.01.009.
- Asmare D., Tesfa C. (2022). Application and validation of the evaluation using slope stability susceptibility evaluation parameter rating system to debre werk area (Northwest Ethiopia). Geotechnical and Geological Engineering, 40(5), 2475-2488. https://doi.org/10.1007/s10706-021-02039-9.
- Azarafza M., Ghazifard A., Akgün H., Asghari-Kaljahi E. (2018). Landslide susceptibility assessment of South Pars Special Zone, southwest Iran. Environmental Earth Sciences, 77, 805. https://doi.org/10.1007/s12665-018-7978-1.
- Bahrami Y., Hassani H., Maghsoudi A. (2021). Landslide susceptibility mapping using AHP and fuzzy methods in the Gilan province, Iran. GeoJournal, 86, 1797-1816. https://doi.org/10.1007/s10708-020-10162-y.
- Cengiz L.D., Ercanoglu M. (2022). A novel data-driven approach to pairwise comparisons in AHP using fuzzy relations and matrices for landslide susceptibility assessments. Environmental Earth Sciences, 81(7), 222. https://doi.org/10.1007/s12665-022-10312-0.
- Chowdhury M.S. (2023). A review on landslide susceptibility mapping research in Bangladesh. Heliyon, 9(7), e17972. https://doi.org/10.1016/j.heliyon.2023.e17972
- Das S., Sarkar S., Kanungo D.P. (2023). A critical review on landslide susceptibility zonation: recent trends, techniques, and practices in Indian Himalaya. Natural Hazards, 115(1), 23-72. https://doi.org/10.1007/s11069-022-05554-x.
- El-Hamdouni I., Brahim L.A., El-Mahsani A., Abdelouafi A. (2022). The Prevention of Landslides Using the Analytic Hierarchy Process (AHP) in a Geographic Information System (GIS) Environment in the Province of Larache, Morocco. Geomatics and Environmental Engineering, 16(2), 77-93. https://doi.org/10.7494/geom.2022.16.2.77.
- Geological Survey and Mineral Exploration of Iran, GSI (2009). Geology map and report for Fuman County. The Geological Survey and Mineral Exploration of Iran press, Tehran, Iran.
- Hanifinia A., Abakari H. (2023). Investigating the relationship between factors affecting the occurrence of landslides in Shannon's entropy model with WOE and LNRF records in order to zonate the susceptibility of landslides in Zive Urmia watershed. Quantitative Geomorphology Research, 11(2), 108-127. https://doi.org/10.22034/gmpj.2022.340292.1348.
- Hong H., Pourghasemi H.R., Pourtaghi Z.S. (2016). Landslide susceptibility assessment in Lianhua County (China): a comparison between a random forest data mining technique and bivariate and multivariate statistical models. Geomorphology, 259, 105-118. https://doi.org/10.1016/j.geomorph.2016.02.012.
- Iran Meteorological Organization, IMO (2023). Climatological and meteorological information for Fuman County. Ministry of Roads and Urban Development of the Government of Iran, Tehran, Iran. https://www.irimo.ir.
- Jafari P., Shahzeidi S.S. (2018). Analyzing and zoning of geomorphic hazards in the Northern regions of Iran using the network analysis process-Case Study: Gilan province. Scientific-Research Quarterly of Geographical Data, 27(107), 193-208. https://doi.org/10.22131/sepehr.2018.33575.
- KC D., Dangi H., Hu L. (2022). Assessing landslide susceptibility in the northern stretch of Arun Tectonic Window, Nepal. CivilEng, 3(2), 525-540. https://doi.org/10.3390/civileng3020031.
- Li B., Liu K., Wang M., He Q., Jiang Z., Zhu W., Qiao N. (2022). Global dynamic rainfall-induced landslide susceptibility mapping using machine learning. Remote Sensing, 14(22), 5795. https://doi.org/10.3390/rs14225795.
- Liu S., Wang L., Zhang W., He Y., Pijush S. (2023). A comprehensive review of machine learning‐based methods in landslide susceptibility mapping. Geological Journal, 58(6), 2283-2301. https://doi.org/10.1002/gj.4666.
- Lyu H.M., Shen J.S., Arulrajah A. (2018). Assessment of geohazards and preventative countermeasures using AHP incorporated with GIS in Lanzhou, China. Sustainability, 10(2), 304. https://doi.org/10.3390/su10020304.
- Mandal B., Mandal S. (2018). Analytical hierarchy process (AHP) based landslide susceptibility mapping of Lish river basin of eastern Darjeeling Himalaya, India. Advances in Space Research, 62(11), 3114-3132. https://doi.org/10.1016/j.asr.2018.08.008.
- Marjanović M., Kovačević M., Bajat B., Voženílek V. (2011). Landslide susceptibility assessment using SVM machine learning algorithm. Engineering Geology, 123(3), 225-234. https://doi.org/10.1016/j.enggeo.2011.09.006.
- Myronidis D., Papageorgiou C., Theophanous S. (2016). Landslide susceptibility mapping based on landslide history and analytic hierarchy process (AHP). Natural Hazards, 81, 245-263. https://doi.org/10.1007/s11069-015-2075-1.
- Nanehkaran Y.A., Chen B., Cemiloglu A., Chen J., Anwar S., Azarafza M., Derakhshani R. (2023). Riverside landslide susceptibility overview: leveraging artificial neural networks and machine learning in accordance with the United Nations (UN) sustainable development goals. Water, 15(15), 2707. https://doi.org/10.3390/w15152707.
- Nematollahi M.J., Clark M.J.R., Ebrahimi P., Ebrahimi M. (2018). Preliminary assessment of groundwater hydrogeochemistry within Gilan, a northern province of Iran. Environmental Monitoring and Assessment, 190, 242. https://doi.org/10.1007/s10661-018-6543-4.
- Okoli J., Nahazanan H., Nahas F., Kalantar B., Shafri H.Z.M., Khuzaimah Z. (2023). High-Resolution Lidar-Derived DEM for Landslide Susceptibility Assessment Using AHP and Fuzzy Logic in Serdang, Malaysia. Geosciences, 13(2), 34. https://doi.org/10.3390/geosciences13020034.
- Panchal S., Shrivastava A.K. (2022). Landslide hazard assessment using analytic hierarchy process (AHP): A case study of National Highway 5 in India. Ain Shams Engineering Journal, 13(3), 101626. https://doi.org/10.1016/j.asej.2021.10.021.
- Pourghasemi H.R., Pradhan B., Gokceoglu C. (2012). Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran. Natural Hazards, 63, 965-996. https://doi.org/10.1007/s11069-012-0217-2.
- Pourghasemi H.R., Yansari Z.T., Panagos P., Pradhan B. (2018). Analysis and evaluation of landslide susceptibility: a review on articles published during 2005–2016 (periods of 2005–2012 and 2013–2016). Arabian Journal of Geosciences, 11, 193. https://doi.org/10.1007/s12517-018-3531-5.
- Razavi Pash R., Ghassemi M.R., Safari H. (2015). Evidences for Development of a Pull-Apart Basin in the Rostam-Abad Region, Gilan Province. Scientific Quarterly Journal of Geosciences, 24(95), 123-132.
- Reichenbach P., Rossi M., Malamud B.D., Mihir M., Guzzetti F. (2018). A review of statistically-based landslide susceptibility models. Earth-Science Reviews, 180, 60-91. https://doi.org/10.1016/j.earscirev.2018.03.001.
- Sabouri T., Servati M.R., Jedari Eyvazi J. (2023). Assessing Environmental Capacities of Geoparks for Sustainable Rural Tourism (Case Study: Proposed Dorfak-Deylaman Geoparkin Gilan, North of Iran). Journal of Sustainable Rural Development, 7(2), 303-316. https://doi.org/10.22034/jsrd.2024.402342.1149.
- Saygin F., Şişman Y., Dengiz O., Şişman A. (2023). Spatial assessment of landslide susceptibility mapping generated by fuzzy-AHP and decision tree approaches. Advances in Space Research, 71(12), 5218-5235. https://doi.org/10.1016/j.asr.2023.01.057.
- Tyagi A., Tiwari R.K., James N. (2022). A review on spatial, temporal and magnitude prediction of landslide hazard. Journal of Asian Earth Sciences, 7, 100099. https://doi.org/10.1016/j.jaesx.2022.100099.
- Van Westen C.J., Castellanos E., Kuriakose S.L. (2008). Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview. Engineering Geology, 102(3-4), 112-131. https://doi.org/10.1016/j.enggeo.2008.03.010.
- Yoshimatsu H., Abe S. (2006). A review of landslide hazards in Japan and assessment of their susceptibility using an analytical hierarchic process (AHP) method. Landslides, 3(2), 149-158. https://doi.org/10.1007/s10346-005-0031-y.
- Zhao H., Yao L., Mei G., Liu T., Ning Y. (2017). A fuzzy comprehensive evaluation method based on AHP and entropy for a landslide susceptibility map. Entropy, 19(8), 396. https://doi.org/10.3390/e19080396.