GIS-Based Flood Risk Assessment Using the Analytical Hierarchy Process

Authors

  • Heinrich Rakuasa Department of Geography, Tomsk State University, Russian Federation
  • Ahmat Rifai School of Environmental Science, University of Indonesia, Indonesia

DOI:

https://doi.org/10.64539/sjer.v1i4.2025.43

Keywords:

AHP, Flood, GIS, Teluk Ambon, Remote Sensing

Abstract

Floods are a common hydrometeorological disaster in Teluk Ambon Sub-district ; therefore, modeling is necessary as a mitigation measure. To address this challenge, Geographic Information System (GIS) and Remote Sensing technologies have proven to be powerful tools in flood disaster analysis and modeling. This study uses 10 variables, including elevation, slope, TWI, NDVI, precipitation, land cover, soil type, drainage density, distance from roads, and distance from rivers. This study uses the Analytical Hierarchy Process (AHP) method. The results show that distance from rivers has the greatest contribution (14.08%) to flooding in Teluk Ambon Sub-district . The level of flood vulnerability in Teluk Ambon Sub-district  is divided into three classes, namely low risk, covering an area of 8,642.26 ha or 64.71%; medium risk, covering an area of 4,066.79 ha or 30.45%; and high risk, covering an area of 646.44 ha or 4.84%. Settlements predicted to be affected by flooding in the low class cover an area of 130.36 ha, or 11.59%; the medium class covers an area of 649.29 ha, or 57.73%; and the high class covers an area of 345.07 ha, or 30.68%. The results of this study are very important in providing a more precise flood risk map to support spatial planning and disaster mitigation in the affected areas.

References

[1] R. Riaz and Md. Mohiuddin, “Application of GIS-based multi-criteria decision analysis of hydro-geomorphological factors for flash flood susceptibility mapping in Bangladesh,” Water Cycle, vol. 6, pp. 13–27, 2025, https://doi.org/10.1016/j.watcyc.2024.09.003.

[2] S. Bamrungkhul and T. Tanaka, “The assessment of land suitability for urban development in the anticipated rapid urbanization area from the Belt and Road Initiative: A case study of Nong Khai City, Thailand,” Sustainable Cities and Society, vol. 83, p. 103988, Aug. 2022, https://doi.org/10.1016/j.scs.2022.103988.

[3] Md. N. Hossain and U. H. Mumu, “Flood susceptibility modelling of the Teesta River Basin through the AHP-MCDA process using GIS and remote sensing,” Natural Hazards, vol. 120, no. 13, pp. 12137–12161, Oct. 2024, https://doi.org/10.1007/s11069-024-06677-z.

[4] P. Dutta and S. Deka, “A novel approach to flood risk assessment: Synergizing with geospatial based MCDM-AHP model, multicollinearity, and sensitivity analysis in the Lower Brahmaputra Floodplain, Assam,” Journal of Cleaner Production, vol. 467, 2024, https://doi.org/10.1016/j.jclepro.2024.142985.

[5] H. Rakuasa and V. V. Khromykh, “Utilization of GIS Technology for Mapping Flood-Prone Areas in Ambon Island, Indonesia,” KnE Social Sciences, vol. 10, no. 10, pp. 296–310, May 2025, https://doi.org/10.18502/kss.v10i10.18679.

[6] D. A. Rakuasa, H., Helwend, J. K., & Sihasale, “Pemetaan Daerah Rawan Banjir di Kota Ambon Menggunakan Sistim Informasi Geografis,” Jurnal Geografi: Media Informasi Pengembangan dan Profesi Kegeografian, vol. 19, no. 2, pp. 73–82, 2022, https://doi.org/10.15294/jg.v19i2.34240.

[7] V. Chauhan, L. Gupta, and J. Dixit, “Machine learning and GIS-based multi-hazard risk modeling for Uttarakhand: Integrating seismic, landslide, and flood susceptibility with socioeconomic vulnerability,” Environmental and Sustainability Indicators, vol. 26, p. 100664, Jun. 2025, https://doi.org/10.1016/j.indic.2025.100664.

[8] H. Salakory, M., Rakuasa, “Modeling of Cellular Automata Markov Chain for predicting the carrying capacity of Ambon City,” Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL), vol. 12, no. 2, pp. 372–387, 2022, https://doi.org/10.29244/jpsl.12.2.372-387.

[9] I. Hasan, M. M. H. Rakib, D. K. Roy, M. H. Ovi, M. F. Hasan, and M. S. I. Majumder, “Geospatial flood susceptibility modelling using analytical hierarchy process: A case study in the south-central coastal region of Bangladesh,” Geosystems and Geoenvironment, vol. 5, no. 1, 2026, https://doi.org/10.1016/j.geogeo.2025.100457.

[10] Badan Nasional Penanggulangan Bencana, Indeks Resiko Bencana Indonesia 2024. Jakarta: Badan Nasional Penanggulangan Bencana, 2025.

[11] Y. A. Berrezel, C. Chérifa, A. Megnounif, M. Saber, M. E. A. Benabdelkrim, and N. Kumar, “Assessment of flood risk using integrated GIS and analytic hierarchy process in the Mekerra basin, Northwestern Algeria,” Journal of African Earth Sciences, vol. 233, 2026, https://doi.org/10.1016/j.jafrearsci.2025.105830.

[12] G. S. Dwarakish, B. J. Pai, and R. Rajeesh, “Urban Flood Hazard Zonation in Bengaluru Urban District, India,” Journal of Landscape Ecology (Czech Republic), vol. 17, no. 1, pp. 89–106, 2024, https://doi.org/10.2478/jlecol-2024-0006.

[13] M. Kasahun, D. Diriba, T. Lemma, S. Karuppannan, and N. Kanko, “Flood vulnerability and risk mapping in Arba minch city using remote sensing, GIS and AHP,” Scientific African, vol. 30, 2025, https://doi.org/10.1016/j.sciaf.2025.e02976.

[14] H. Deopa and M. R. Resmi, “Assessing Flood-Induced Soil Loss and Vulnerability in the Luni River Basin: A GIS-MCDM, AHP, and RUSLE Integration,” Water Conservation Science and Engineering, vol. 10, no. 3, 2025, https://doi.org/10.1007/s41101-025-00418-4.

[15] A. Gebremichael, E. Gebremariam, and H. Desta, “GIS-based mapping of flood hazard areas and soil erosion using analytic hierarchy process (AHP) and the universal soil loss equation (USLE) in the Awash River Basin, Ethiopia,” Geoscience Letters, vol. 12, no. 1, 2025, https://doi.org/10.1186/s40562-025-00382-w.

[16] M. D. J. Nyereyegona, A. N. Mazhindu, and K. C. Chirenje, “Suitability analysis to determine optimal locations of local community radio transmitters using GIS and remote sensing: a case study of Chipinge district, Zimbabwe,” Scientific Reports, vol. 15, no. 1, 2025, https://doi.org/10.1038/s41598-025-90220-y.

[17] A. Mulu, S. B. Kassa, M. L. Wossene, S. Adefris, and T. M. Meshesha, “Identification of flood vulnerability areas using analytical hierarchy process techniques in the Wuseta watershed, Upper Blue Nile Basin, Ethiopia,” Scientific Reports, vol. 15, no. 1, 2025, https://doi.org/10.1038/s41598-025-13822-6.

[18] H. Latue, P. C., & Rakuasa, “Identification of Flood-Prone Areas Using the Topographic Wetness Index Method in Fena Leisela District, Buru Regency,” Journal Basic Science and Technology, vol. 12, no. 2, 2032, https://doi.org/10.35335/jbst.v12i1.3673.

[19] H. Rakuasa and P. C. Latue, “Modeling Flood Hazards in Ambon City Watersheds: Case Studies of Wai Batu Gantung, Wai Batu Gajah, Wai Tomu, Wai Batu Merah and Wai Ruhu,” Journal of Engineering and Science Application, vol. 1, no. 2, pp. 1–8, Oct. 2024, https://doi.org/10.69693/jesa.v1i2.6.

[20] M. Husein, T. Takele, D. Diriba, and S. Karuppannan, “Flood hazard and risk assessment using GIS and remote sensing in the case of Ziway Lake watershed, central Main Ethiopian Rift,” Environmental and Sustainability Indicators, vol. 28, 2025, https://doi.org/10.1016/j.indic.2025.100920.

[21] K. C. Oliveira Lima et al., “Integrated use of the analytical hierarchy process method for mapping areas susceptible to flooding in the urban area in a city in southwest Bahia, Brazil,” Journal of South American Earth Sciences, vol. 167, 2025, https://doi.org/10.1016/j.jsames.2025.105778.

[22] O. A. Rahim, H. Yin, S. Ullah, and A. N. Durrani, “Delineation of groundwater potential zones and recharge using multi-source big data and systematic analysis approach,” Sustainable Futures, vol. 10, 2025, https://doi.org/10.1016/j.sftr.2025.100872.

[23] H. Chihi, M. A. Hammami, and I. Mezni, “Flood susceptibility mapping in data-scarce arid environments: guided by geology-driven knowledge and multi-event cloud-based validation,” Natural Hazards, vol. 121, no. 18, pp. 20855–20901, 2025, https://doi.org/10.1007/s11069-025-07533-4.

[24] A. Tiangtrong, T. Mangmoon, S. Apirak, N. Amornwech, N. Noipow, and C.-D. Jan, “Optimized shelter planning in flood-prone areas using geographic information systems (GIS) and the analytical hierarchy process (AHP): an analysis of Ubon Ratchathani, Thailand,” Natural Hazards, vol. 121, no. 18, pp. 21097–21119, 2025, https://doi.org/10.1007/s11069-025-07604-6.

[25] H. Rakuasa, “Spatial Modeling of Flood Prone Areas in Huamual Sub-district Seram Bagian Barat Regency Indonesia,” Journal of Geographical Sciences and Education, vol. 1, no. 2, pp. 47–57, 2023.

[26] Q. N. X. Chau, G. N. H. Ngo, D. D. Tran, T. T. N. Huynh, and T. T. M. Thy, “A Systematic Approach to Spatial Allocation in Sustainable Urban Drainage Systems (SUDS) Implementation: a Case Study in the Nhieu Loc – Thi Nghe Basin, Ho Chi Minh City, Vietnam,” International Journal of Environmental Research, vol. 19, no. 5, 2025, https://doi.org/10.1007/s41742-025-00849-w.

[27] D. R. Maru, V. Kumar, K. V Sharma, Q. B. Pham, and A. Patel, “Integrating GIS, MCDM, and Spatial Analysis for Comprehensive Flood Risk Assessment and Mapping in Uttarakhand, India,” Geological Journal, vol. 60, no. 9, pp. 2263–2280, 2025, https://doi.org/10.1002/gj.5172.

[28] I. Bishikwabo, H. Mambo, J. K. Kamanda, C. Chérifa, M. A. Nanyunga, and N. Kumar, “Urban Flood Susceptibility Mapping Using GIS and Analytical Hierarchy Process: Case of City of Uvira, Democratic Republic of Congo,” GeoHazards, vol. 6, no. 3, 2025, https://doi.org/10.3390/geohazards6030038.

[29] H. Al-Kordi, A. al-Amri, and G. Raju, “Flash Flood Susceptibility Mapping Using Geospatial and Analytical Hierarchy Process Modeling-A Study of Wadi Habban Basin, Shabwah, Yemen,” Nature Environment and Pollution Technology, vol. 24, no. 3, 2025, https://doi.org/10.46488/NEPT.2025.v24i03.B4280.

[30] T. Morimoto, H. Jin, S. Tong, and Y. Bao, “Assessment of Flood Risk of Residential Buildings by Using the AHP-CRITIC Method: A Case Study of the Katsushika Ward, Tokyo,” Buildings, vol. 15, no. 12, 2025, https://doi.org/10.3390/buildings15122016.

[31] J. Gacu et al., “Integrated multi-hazard risk assessment under compound disasters using analytical hierarchy process (AHP),” Heliyon, vol. 11, no. 11, 2025, https://doi.org/10.1016/j.heliyon.2025.e43173.

[32] M. S. Kendagannaswamy, C. K. Roopa, B. S. Harish, and M. S. Mukesh, “Multi-criteria decision analysis for regional-scale flood susceptibility mapping in Kerala state, India,” Discover Applied Sciences, vol. 7, no. 6, 2025, https://doi.org/10.1007/s42452-025-07182-z.

[33] S. K. Aswin, V. S. Pitchaimani, and A. J. A. A. Promilton, “Flood Susceptibility Assessment for Coastal Villages of Southern Tamil Nadu: An Integrated GIS and AHP Approach,” Disaster Advances, vol. 18, no. 6, pp. 18–27, 2025, https://doi.org/10.25303/186da018027.

[34] A. Kalita, A. P. Saikia, and P. Singh, “Integrated water management and agroforestry planning in the Kulsi river basin: a data-driven decision-making approach,” Agroforestry Systems, vol. 99, no. 5, 2025, https://doi.org/10.1007/s10457-025-01191-y.

[35] T. Agaj, “Integrating AHP and MCDA for flood risk assessment in Kosovo: a catchment-based perspective,” Natural Hazards, vol. 121, no. 9, pp. 10711–10747, 2025, https://doi.org/10.1007/s11069-025-07212-4.

[36] A. Nath, B. Koley, T. Choudhury, and A. Biswas, “Prioritizing flood drivers: an AHP-based study of physical factors in Digha’s coastal belt, East Coast, India,” Spatial Information Research, vol. 33, no. 2, 2025, https://doi.org/10.1007/s41324-025-00615-2.

[37] A. Sood, K. S. Vignesh, and V. N. Prapanchan, “Multi-hazard vulnerability zone identification using GIS-based fuzzy AHP and MCDM techniques,” Natural Hazards, vol. 121, no. 7, pp. 8501–8539, 2025, https://doi.org/10.1007/s11069-025-07125-2.

[38] P. Thammaboribal, N. K. Tripathi, and S. Lipiloet, “Using of Analytical Hierarchy Process (AHP) in Disaster Management: A Review of Flooding and Landslide Susceptibility Mapping,” International Journal of Geoinformatics, vol. 21, no. 4, pp. 177–196, 2025, https://doi.org/10.52939/ijg.v21i4.4091.

[39] P. B. Borah, A. Handique, C. K. Dutta, D. Bori, S. Acharjee, and L. Longkumer, “Assessment of flood susceptibility in Cachar district of Assam, India using GIS-based multi-criteria decision-making and analytical hierarchy process,” Natural Hazards, vol. 121, no. 6, pp. 7625–7648, 2025, https://doi.org/10.1007/s11069-024-07100-3.

[40] B. Das, T. K. Ray, and E. Boral, “Identification of urban waterlogging risk zones using Analytical Hierarchy Process (AHP): a case of Agartala city,” Environmental Monitoring and Assessment, vol. 197, no. 3, 2025, https://doi.org/10.1007/s10661-025-13725-z.

[41] R. Sharker et al., “GIS-based AHP approach to flood susceptibility assessment in Tangail district, Bangladesh,” Journal of Earth System Science, vol. 134, no. 1, 2025, https://doi.org/10.1007/s12040-024-02480-3.

[42] M. Aliyu, A. A. Dandajeh, S. B. Igboro, and N. I. Abdullahi, “Flood Hazard Assessment and Mapping in River-Rima Floodplain, Birnin Kebbi-Nigeria,” Nigerian Journal of Technological Development, vol. 22, no. 1, pp. 279–293, 2025, https://doi.org/10.4314/njtd.v22i1.2862.

[43] R. Ch. Raghava and G. K. Viswanadh, “Flood Susceptibility Assessment of Wyra River Catchment, South India using AHP-GIS Multi Criteria Approach,” Disaster Advances, vol. 18, no. 2, pp. 38–51, 2025, https://doi.org/10.25303/182da038051.

[44] M. Narzary, P. Dey, S. K. Patnaik, and T. Riming, “Assessment and Monitoring of Flood Susceptibility Zones Using Analytical Hierarchy Process (AHP) Model and Geospatial Techniques in the Lakhimpur Block, Lakhimpur District, Assam, India,” in Environmental Science and Engineering, vol. Part F264, Rajiv Gandhi University, Doimukh, Department of Geography, Doimukh, India: Springer Science and Business Media Deutschland GmbH, 2025, pp. 179–208. https://doi.org/10.1007/978-3-031-82311-4_8.

[45] M. Benaiche, E. Mokhtari, A. Berghout, B. Abdelkebir, and B. Engel, “Sensitivity of flood-prone areas to extreme rainfall using AHP and fuzzy AHP: A case study of Boussellam and K’sob watersheds, Algeria,” Journal of Water and Climate Change, vol. 16, no. 6, pp. 1948–1968, 2025, https://doi.org/10.2166/wcc.2025.520.

[46] N. Sar, P. K. Ryngnga, and D. K. De, “Application of the analytical hierarchy process (AHP) for flood susceptibility mapping using GIS techniques in lower reach of Keleghai River Basin, West Bengal, India,” Geohazard Mechanics, vol. 3, no. 2, pp. 123–135, 2025, https://doi.org/10.1016/j.ghm.2025.06.002.

[47] S. K. Ray, “Flood risk index mapping in data scarce region by considering GIS and MCDA (FRI mapping in data scarce region by considering GIS and MCDA),” Environment, Development and Sustainability, vol. 27, no. 7, pp. 17329–17381, 2025, https://doi.org/10.1007/s10668-024-04641-2.

[48] N. Taoukidou, D. Karpouzos, and P. Georgiou, “Flood Hazard Assessment Through AHP, Fuzzy AHP, and Frequency Ratio Methods: A Comparative Analysis,” Water (Switzerland), vol. 17, no. 14, 2025, https://doi.org/10.3390/w17142155.

[49] S. Ashfaq, M. Tufail, A. Niaz, S. Muhammad, H. Alzahrani, and A. Tariq, “Flood susceptibility assessment and mapping using GIS-based analytical hierarchy process and frequency ratio models,” Global and Planetary Change, vol. 251, 2025, https://doi.org/10.1016/j.gloplacha.2025.104831.

[50] K. Chomani and D. M. Al-Shrafany, “Innovative Approaches to Flood Hazard Assessment in Semi-Arid Environments: A Comparative Analysis of Multi-Criteria and Geospatial Techniques,” Iraqi Geological Journal, vol. 58, no. 2, pp. 86–109, 2025, https://doi.org/10.46717/igj.2025.58.2A.6.

[51] S. K. Patel, P. Ghosh, D. Sen Gupta, and A. Kumar, “Flood modeling using GIS-based analytical hierarchy process in Gandak river basin of Indian territory,” Natural Hazards, vol. 121, no. 14, pp. 16515–16557, 2025, https://doi.org/10.1007/s11069-025-07439-1.

[52] H. Latue, P. C., Imanuel Septory, J. S., Somae, G., & Rakuasa, “Pemodelan Daerah Rawan Banjir di Kecamatan Sirimau Menggunakan Metode Multi-Criteria Analysis (MCA),” Jurnal Perencanaan Wilayah Dan Kota, vol. 18, no. 1, pp. 10–17, 2023, https://doi.org/10.29313/jpwk.v18i1.1964.

[53] A. Mehmood, M. A. Basheer, H. S. H. Arshad, S. Zia, S. T. Muntaha, and A. R. Riaz, “Assessing the potential of rainwater harvesting through GIS and remote sensing techniques in combating urban flooding in Lahore, Pakistan,” GeoJournal, vol. 90, no. 4, 2025, https://doi.org/10.1007/s10708-025-11446-x.

[54] A. Mulu, S. B. Kassa, M. Lakew, and T. M. Meshesha, “Flood susceptibility mapping using integrated geospatial and analytical hierarchy process analysis in highly expansive Debre Markos Town, Amhara Region, Ethiopia,” Discover Applied Sciences, vol. 7, no. 8, 2025, https://doi.org/10.1007/s42452-025-07563-4.

[55] N. Alafostergios, N. Evelpidou, and E. Spyrou, “Flood Susceptibility Assessment Based on the Analytical Hierarchy Process (AHP) and Geographic Information Systems (GIS): A Case Study of the Broader Area of Megala Kalyvia, Thessaly, Greece,” Information (Switzerland), vol. 16, no. 8, 2025, https://doi.org/10.3390/info16080671.

[56] L. Pimenta, L. Duarte, A. C. Teodoro, N. Beltrão, D. Gomes, and R. Oliveira, “GIS-Based Flood Susceptibility Mapping Using AHP in the Urban Amazon: A Case Study of Ananindeua, Brazil,” Land, vol. 14, no. 8, 2025, https://doi.org/10.3390/land14081543.

[57] C. Rodopoulos, G. Saitis, and N. Evelpidou, “Physical Flood Vulnerability Assessment in a GIS Environment Using Morphometric Parameters: A Case Study from Volos, Greece,” Water (Switzerland), vol. 17, no. 16, 2025, https://doi.org/10.3390/w17162449.

[58] C. Khoeun et al., “Assessing Flood Hazard Index using Analytical Hierarchy Process (AHP) and Geographical Information System (GIS) in Stung Sen River Basin,” in IOP Conference Series: Earth and Environmental Science, 2022. https://doi.org/10.1088/1755-1315/1091/1/012031.

[59] M. R. Al-Gburi, “GIS-Based Spatial Distribution of Flood Hazards in the Chamchamal Basin, Sulaymaniyah, NE Iraq,” Iraqi Geological Journal, vol. 58, no. 2, pp. 155–168, 2025, https://doi.org/10.46717/igj.2025.58.2B.11.

[60] E. Stemn, B. Kumi-Boateng, and S. Fosu, “Flood susceptibility assessment using a GIS and multicriteria decision modelling approach: A case of the Wassa west mining area of Ghana,” Journal of African Earth Sciences, vol. 229, 2025, https://doi.org/10.1016/j.jafrearsci.2025.105706.

[61] V. Kumar, A. Rashiq, and O. Prakash, “Integrated flood risk prediction and zonation in bihar: observations from climate change projection using GIS-based AHP-Multicriteria approach,” Theoretical and Applied Climatology, vol. 156, no. 9, 2025, https://doi.org/10.1007/s00704-025-05669-8.

[62] E. Barlian et al., “GIS and AHP-Based Flood Zoning and Conservation Strategies in The Tarusan Watershed, Indonesia,” Geographia Technica, vol. 20, no. 2, pp. 114–133, 2025, https://doi.org/10.21163/GT_2025.202.08.

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2025-11-16

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Rakuasa, H., & Rifai, A. (2025). GIS-Based Flood Risk Assessment Using the Analytical Hierarchy Process. Scientific Journal of Engineering Research, 1(4), 172–186. https://doi.org/10.64539/sjer.v1i4.2025.43

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Vol. 1 No. 4 (2025): December

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