Research Article
BibTex RIS Cite

A GIS Based Quick Assessment Method of Flood Vulnerability: Susurluk Basin Case

Year 2025, Volume: 11 Issue: 1, 1 - 14
https://doi.org/10.33904/ejfe.1527247

Abstract

There are various methods available for evaluating flood risk in a basin, ranging from identifying high-risk areas to analyzing the frequency and magnitude of potential flooding events. Our approach utilizes readily available spatial data to discern vulnerable locations to flooding of varying levels. In this study, the Analytical Hierarchy Process (AHP), a multi-criteria evaluation technique was applied in the Susurluk River basin of Turkey using factors were analyzed such as land use, precipitation, elevation, drainage density, slope, soil, and topographic wetness index. Annual precipitation emerged as the most significant factor in our predictive model, with a weight value of 36%. For slope, land use type, elevation, and drainage density, the weighted values were weighted at 23%, 6%, 12%, and 11%, respectively. The results showed that 88.31% of the basin exhibited vulnerability to flooding, whereas only 0.83% demonstrated resilience. These findings can inform policymakers in their decision-making regarding land planning. As such, this study underscored the importance of flood vulnerability assessments in identifying regions that require additional attention in implementing prevention measures and early warning systems.

Supporting Institution

This study was supported by the Scientific and Technical Research Foundation of Türkiye (TUBITAK).

Project Number

TUBITAK; CAYDAG 116Y446/1003

Thanks

The authors would like to acknowledge the Turkish State Meteorological Service (MGM) for sharing the data in the public domain for free access. This study was supported by the Scientific and Technical Research Foundation of Türkiye (TUBITAK) within the project number ÇAYDAG 116Y446/1003.

References

  • Adger, W.N., Arnell, N.W., Tompkins, E.L. 2005. Successful adaptation to climate change across scales, Global Environmental Change, 15 (2): 77-86.
  • Ajin, R. S., Krishnamurthy, R.R., Jayaprakash, M., Vinod, P.G. 2013. Flood hazard assessment of Vamanapuram River Basin, Kerala, India: An approach using Remote Sensing & GIS techniques, Advances in Applied Science Research, 4 (3): 263-274.
  • Anuar, N.N.B.K. 2022. Flood Susceptibility Mapping Using GIS and AHP in Kelantan, Bachelor of Engineering (Hons) (Civil Engineering), Universiti Teknologi Petronas, Tronoh, Perak, pp.57.
  • Arca, D., Yalçın, F. 2023. Production of Flood Risk Maps of Inebolu Basin Using Different Fuzzy Analytic Hierarchy Process Methods, Journal of Disaster and Risk, 6(1): 70-83.
  • Aven, T. 2015. Risk assessment and risk management: review of recent advances on their foundation, European Journal of Operational Research, 253, 1-13.
  • Ayenew, W.A., Kebede, H.A. 2023. GIS and remote sensing based flood risk assessment and mapping: The case of Dikala Watershed in Kobo Woreda Amhara Region, Ethiopia, Environmental and Sustainability Indicators, 18, 100243.
  • Aytekin, M. 2021. Development of a watershed vulnerability assessment method to support climate change adaptation action. PhD Thesis, Istanbul University-Cerrahpasa Institute of Graduate Studies, Istanbul.
  • Aytekin, M., Serengil, Y. 2022. Assessment of Vulnerability, Resilience Capacity and Land Use Within the Scope of Climate Change Adaptation: The Case of Balıkesir-Susurluk Basin, Kastamonu University Journal of Forestry Faculty, 22(2): 112-124.
  • Beven, K., Kirkby, M., Schofield, N., Tagg, A. 1984. Testing a physically-based flood forecasting model (TOPMODEL) for three UK catchments, Journal of Hydrology, 69(1): 119-143.
  • Blistanova, M., Zelenakova, M., Blisten, P., Ferencz, V. 2016. Assessment of flood vulnerability in Bodva river basin, Slovakia, Acta Montanistica Slovaca, 21(1): 19-28.
  • Cai, S., Fan, J., Yang, W. 2016. Flooding Risk Assessment and Analysis Based on GIS and the TFN-AHP Method: A Case Study of Chongqing, China, Atmosphere, 12(5): 623.
  • Choubin, B., Moradi, E., Golshan, M., Adamowski, J., Hosseini, F.S., Mosavi, A. 2019. An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines, Science of the Total Environment, 651, 2087-2096.
  • CORINE (Coordination of Information on the Environment), 2018. Copernicus Pan-European Land Monitoring Service. https://land.copernicus.eu/pan-european/corine-land-cover/clc2018 (Data accessed: 26.01.2018).
  • Dandapat, K., Panda, G.K. 2017. Flood vulnerability analysis and risk assessment using analytical hierarchy process, Modeling Earth Systems and Environment, 3: 1627-1646.
  • Danumah, J.H., Odai, S.N., Saley, B.M., Szarzynski, J., Thiel, M., Kwaku, A., Kouame, F.K., Akpa, L.Y. 2016. Flood risk assessment and mapping in Abidjan district using multi-criteria analysis (AHP) model and geoinformation techniques, (cote d’Ivoire), Geoenvironmental Disasters, 3, 10.
  • Das, S. 2020. Flood susceptibility mapping of the Western Ghat coastal belt using multi-source geospatial data and analytical hierarchy process (AHP), Remote Sensing Applications: Society and Environment, 20, 100379.
  • Desalegn, H., Mulu, A. 2020. Flood vulnerability assessment using GIS at Fetam watershed, upper Abbay basin, Ethiopia, Heliyon, 7 (1), e05865, ISSN 2405-8440.
  • Eguaroje, O.E., Alaga, T.A., Ogbole, J.O., Omolere, S., Alwadood, J., Kolawole, I.S., Muibi, K.H., Nnaemeka, D., Popoola, D.S., Samson, S.A., Adewoyin, J.E., Jesuleye, I., Badru, R.A., Atijosan, A., Ajileye, O.O. 2015. Flood Vulnerability Assessment of Ibadan City, Oyo State, Nigeria, Word Environment, 5(4): 149-159.
  • Elmoustafa, A.M. 2012. Weighted normalized risk factor for floods risk assessment, Ain Shams Engineering Journal, 3: 327-332.
  • EU-DEM (European Digital Elevation Model) 2018: Copernicus Land Monitoring Service. EU-DEM v.1.1. https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1. (Data accessed: 15.02.2019).
  • Fang, L., Huang, J., Cai, J., Nitivattananon, V. 2022. Hybrid Approach for Flood Susceptibility Assessment in a Flood-Prone Mountainous Catchment in China, Journal of Hydrology, 612, 128091.
  • Feloni, E., Mousadis, I., Baltas, E. 2020. Flood vulnerability assessment using a GIS based multicriteria approach, The case of Attica region, Journal of Flood Risk Management, 13, S1, e12563.
  • Getahun, Y.S. Gebre, S.L. 2015. Flood Hazard Assessment and Mapping of Flood Inundation Area of the Awash River Basin in Ethiopia using GIS and HEC-GeoRAS/HEC-RAS Model, Journal of Civil and Environmental Engineering, 5: 179.
  • Ghosh, A., Kar, S.K. 2018. Application of analytical hierarchy process (AHP) for flood risk assessment: a case study in Malda district of West Bengal, India, Natural Hazards, 94, 349-368.
  • Hamlat, A., Kadri, C.B., Guidoum, A., Bekkaye, H. 2021. Flood hazard areas assessment at a regional scale in M’zi wadi basin, Algeria, Journal of African Earth Sciences, 182, 104281.
  • Hassanuzzaman, Md., Adhikary, P.P., Bera, B., Shit, P.K. 2022. Flood Vulnerability Assessment Using AHP and Frequency Ratio Techniques, in book: Spatial Modelling of Flood Risk and Flood Hazards, Societal Implications, 91-104.
  • Hoque, M.A.A., Tasfia, S., Ahmed, N., Pradhan, B. 2019. Assessing spatial flood vulnerability at Kalapara upazila in Bangladesh using an analytic hierarchy process, Sensors (Switzerland), 19(6): 1–19.
  • Hussain, M., Tayyab, M., Zhang, J., Shah, A.A., Ullah, K., Mehmood, U., Al-Shaibah, B. 2021. GIS‐Based Multi‐Criteria Approach for Flood Vulnerability Assessment and Mapping in District Shangla: Khyber Pakhtunkhwa, Pakistan, Sustainability, 13(6): 3126.
  • IPCC (Intergovernmental Panel on Climate Change). 2001. Climate Change 2001: Impacts, Adaptation, and Vulnerability, Contribution of Working Group II to the Third Assessment Report of the Intergovernmental Panel on Climate Change [McCarthy, J.J., Canziani, O.F., Leary, N.A., Dokken, D.J., & White, K.S., Eds.], Cambridge University Press: Cambridge, UK; New York, NY, USA.
  • IPCC (Intergovernmental Panel on Climate Change). 2022. Climate Change 2022: Impacts, Adaptation and Vulnerability, Intergovernmental Panel on Climate Change.
  • İnan, M., Öztürk, T. 2022. A simple approach on forest roads drainage structures planning using GIS: A case study of Şile-Turkey. Anadolu Orman Araştırmaları Dergisi 8 (2): 104-110.
  • Kazakis, N., Kougis, I., Patsialis, T. 2015. Assessment of flood hazard areas at a regional scale using an index-based approach and Analytical Hierarchy Process: Application in Rhodope–Evros region, Greece, Science of the Total Environment, 538, 555-563.
  • Kittipongvises, S., Phetrak, A., Rattanapun, P., Brundiers, K., Buizer, J.L., Melnick, R. 2020. AHP-GIS analysis for flood hazard assessment of the communities nearby the world heritage site on Ayutthaya Island, Thailand, International Journal of Disaster Risk Reduction, 48, 101612.
  • Lan-Fen, C., McAleer, M., Chang, C-C. 2012. Statistical Modelling of Extreme Rainfall in Taiwan, Tinbergen Institute Discussion Paper, TI 2013-006/III.
  • Lee, J.S., Choi, H. II. 2019. Comparative Analysis of Flood Vulnerability Indicators by Aggregation Frameworks for the IPCC’s Assessment Components to Climate Change, Applied Sciences, 9 (11): 2321.
  • Meraj, G., Romshoo, S.A., Yousuf, A.R., Altaf, S., Altaf F. 2015. Assessing the influence of watershed characteristics on the flood vulnerability of Jhelum basin in Kashmir Himalaya, Natural Hazards, 77: 153-175.
  • Merz, B., Aerts, J., Arnbjerg-Nielsen, K., Baldi, M., Becker, A., Bichet, A., Blöschl, G., Bouwer, L.M., Brauer, A., Cioffi, F., Delgado, J. M., Gocht, M., Guzzetti, F., Harrigan, S., Hirschboeck, K., Kilsby, C., Kron, W., Kwon, H., Lall, U., Merz, R., Nissen, K., Salvatti, P., Swierczynski, T., Ulbrich, U., Viglione, A., Ward, P.J., Weiler, M., Wilhelm, B., Nied, M. 2014. Floods and climate: Emerging perspectives for flood risk assessment and management, Natural Hazards and Earth System Sciences, Discussions, 2, 1559-1612.
  • Meyer, V., Haase, D., Scheuer, S. 2007. GIS-based multi-criteria analysis as decision support in flood risk management, UFZ-Diskussionspapiere, 6/2007.
  • MGM, 2018. General Directorate of Meteorology. https://mevbis.mgm.gov.tr/mevbis/ui/index.html (Data accessed 01.13.2021).
  • Moel, H.D., Jongman, B., Kreibich, H., Merz, B., Penning-Rowsell, E., Ward, P.J. 2015. Flood risk assessments at different spatial scales, Mitigation and Adaptation Strategies for Global Change, 20, 865-890.
  • Mohammad, H. 2016. Flood vulnerability assessment applying GIS and remote sensing methods: A case study on the Al Kabeer Al Shemali River flood zone in Latakia, Thesis, 39th International Postgraduate Course on Environmental Engineering for Developing and Emerging Countries.
  • Mohamed, S.A. 2019. Application of satellite image processing and GIS-Spatial modeling for mapping urban areas prone to flash floods in Qena governorate, Egypt, Journal of African Earth Sciences. 158, 103507.
  • Nahin, K.T.K., Islam, S.B., Mahmud, S., Hossain, I. 2023. Flood vulnerability assessment in the Jamuna River floodplain using multi-criteria decision analysis: A case study in Jamalpur district, Bangladesh, Heliyon, 9, e14520.
  • Nsangou, D., Kpoumié, A., Mfonka, Z., Ngouh, A.N., Fossi, D.H., Jourdan, C., Mbele, H.Z., Mouncherou, O.F., Vandervaere, J.P., Ngoupayou, J.R.N. 2022. Urban flood susceptibility modelling using AHP and GIS approach: case of the Mfoundi watershed at Yaoundé in the South-Cameroon plateau. Scientific African, 15, e01043.
  • Nasiri, H., Yusof, M.J.M., Mohammed Ali, T.A. 2016. An overview to flood vulnerability assessment methods, Sustainable Water Resource Management, 2: 331-336.
  • Norman, L.M., Huth, H., Levick, L., Burns, I.S., Guertin, D.P., Valencia, F.L. Semmens, D. 2010. Flood hazard awareness and hydrologic modelling at Ambos Nogales,United States-Mexico border, Journal of Flood Risk Management, 3: 151-165.
  • Ogata, G.S., Bantider, A., Abebe, K., Geneletti, D. 2020. Geographic information system (GIS)-Based multi-criteria analysis of flooding hazard and risk in Ambo Town and its watershed, West shoa zone, oromia regional State, Ethiopia, Journal of Hydrology: Regional Studies, 27, 100659.
  • Ogden, F.L., Pradhan, N.R., Downer, C.W., Zahner, J.A. 2011. Relative importance of impervious area, drainage density, width function, and subsurface storm drainage on flood runoff from an urbanized catchment, Water Resource Research, 47, W12503.
  • Ouma, Y.O., Tateishi, R. 2014. Urban Flood Vulnerability and Risk Mapping Using Integrated Multi-Parametric AHP and GIS: Methodological Overview and Case Study Assessment, Water, 6: 1515-1545. Papaioannou, G., Vasiliades, L., Loukas, A. 2015. Multi-Criteria Analysis Framework for Potential Flood Prone Areas Mapping, Water Resources Management, 29: 399–418.
  • Rimba, A.B., Setiawati, M.D., Sambah, A.B., Miura, F. 2017. Physical Flood Vulnerability Mapping Applying Geospatial Techniques in Okazaki City, Aichi Prefecture, Japan, Urban Science, 1, 7.
  • Saaty, T.L. 1977. A scaling method for priorities in hierarchical structures, Journal of Mathematical Psychology, 15 (3): 234-281.
  • Saaty, T.L. 1980. The Analytic Hierarchy Process, McGraw-Hill: New York, NY, USA.
  • Saaty, T.L. 2000. Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process, 2nd ed. Pittsburgh, PA: RWS Publications.
  • Saaty, T. 2004. Decision-making – the analytic hierarchy and network processes (AHP/ANP), Journal of Systems Science and Systems Engineering, 13 (1): 1-35.
  • Sakulsri, T., Phlainoi, S., Pattanakiat, S. Punpuing, S. 2015. Geographic Information System for Flood Hazard Area Delineation and Estimation of At-Risk Households at the Community Level: A Case Study of Salaya Sub-District, Nakhon Pathom Province, Journal of Population and Social Studies, 23(2): 168 -179.
  • Samanta, R.K., Bhunia, G.S., Shit, P.K., Pourhgasemi, H.R. 2018. Flood susceptibility mapping using geospatial frequency ratio technique: a case study of Subarnarekha River Basin, India, Modeling Earth Systems and Environment, 4: 395-408.
  • Scolobig, A. and Castn Broto, V., Zabala, A. 2008. Integrating multiple perspectives in social multi-criteria evaluation of flood-mitigation alternatives: the case of Malborghetto-Valbruna, Environment and Planning C Government and Policy, 26(6): 1143-1161.
  • Seejata, K., Yodying, A., Wongthadam, T., Mahavik, N., Tantanee, S. 2018. Assessment of flood hazard areas using Analytical Hierarchy Process over the Lower Yom Basin, Sukhothai Province, Procedia Engineering, 212: 340-347.
  • Shekar, P.R., Mathew, A. 2023. Chapter 7: Flood susceptibility mapping of the Peddavagu River Basin using GIS-AHP techniques. Developments in Environmental, 14: 125-141.
  • Taherdoost, H., Madanchian, M. 2023. Multi-Criteria Decision Making (MCDM) Methods and Concepts, Encyclopedia, 3: 77–87.
  • Tanavud, C., Yongchalermchai, C., Bennui, A., Densreeserekul, O. 2004. Assessment of flood risk in Hat Yai Municipality, Southern Thailand, using GIS, Journal of Natural Disaster Science, 26(1): 1-14.
  • Tehrany, M.S., Pradhan, B., Jebur, M.N. 2013. Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical model in GIS, Journal of Hydrology, 504: 69-79.
  • Tucker, G.E., Bras, R.L. 1998. Hill slope processes, drainage density and landscape morphology, Water Resource Research, 34(10): 2751-2764.
  • Van, C.T., Tri, D.Q., Son, N.T., Thao, T.T.T., Hoa, D.T.H. 2019. Determining the vulnerability index in the context of high floods in A Giang Province, Conference paper, 5th International Conference on Environment and Renewable Energy (ICERE 2019) 25-28 February 2019, Ho Chi Minh City, Vietnam.
  • Vignesh, K.S., Anandakumar, I., Ranjan, R., Borah, D. 2020. Flood vulnerability assessment using an integrated approach of multi-criteria decision-making model and geospatial techniques, Modeling Earth Systems and Environment, 7, 767–781.
  • Vijith, H., Satheesh, R. 2006. GIS based morphometric analysis of two major upland subwatersheds of Meenachil River in Kerala, Journal of the Indian Society of Remote Sensing, 34, 183.
  • Zelenakova, M., Blistan, P., Purcz, P., Fijko, R. 2017. Multi-criteria Analysis for Flood Vulnerable Areas in Southeastern Slovakia, Eurasian Journal of Environmental Research, 1(2): 8-19.
  • Zlaugotne, B., Zihare, L., Balode, L., Kalnbalkite, A., Khabdullin, A., Blumberga, D. 2020. Multi-Criteria Decision Analysis Methods Comparison, Environmental and Climate Technologies, 24 (1): 454-471.
  • Wang, Y., Li, Z., Tang, Z., Zeng, G. 2011. A GIS-Based Spatial Multi-Criteria Approach for Flood Risk Assessment in the Dongting Lake Region, Hunan, Central China, Water Resource Management, 25: 3465-3484.
  • Wondim, Y.K. 2016. Flood Hazard and Risk Assessment Using GIS and Remote Sensing in Lower Awash Sub-basin, Ethiopia, Journal of Environment and Earth Science, 6(9): 69-86.
Year 2025, Volume: 11 Issue: 1, 1 - 14
https://doi.org/10.33904/ejfe.1527247

Abstract

Project Number

TUBITAK; CAYDAG 116Y446/1003

References

  • Adger, W.N., Arnell, N.W., Tompkins, E.L. 2005. Successful adaptation to climate change across scales, Global Environmental Change, 15 (2): 77-86.
  • Ajin, R. S., Krishnamurthy, R.R., Jayaprakash, M., Vinod, P.G. 2013. Flood hazard assessment of Vamanapuram River Basin, Kerala, India: An approach using Remote Sensing & GIS techniques, Advances in Applied Science Research, 4 (3): 263-274.
  • Anuar, N.N.B.K. 2022. Flood Susceptibility Mapping Using GIS and AHP in Kelantan, Bachelor of Engineering (Hons) (Civil Engineering), Universiti Teknologi Petronas, Tronoh, Perak, pp.57.
  • Arca, D., Yalçın, F. 2023. Production of Flood Risk Maps of Inebolu Basin Using Different Fuzzy Analytic Hierarchy Process Methods, Journal of Disaster and Risk, 6(1): 70-83.
  • Aven, T. 2015. Risk assessment and risk management: review of recent advances on their foundation, European Journal of Operational Research, 253, 1-13.
  • Ayenew, W.A., Kebede, H.A. 2023. GIS and remote sensing based flood risk assessment and mapping: The case of Dikala Watershed in Kobo Woreda Amhara Region, Ethiopia, Environmental and Sustainability Indicators, 18, 100243.
  • Aytekin, M. 2021. Development of a watershed vulnerability assessment method to support climate change adaptation action. PhD Thesis, Istanbul University-Cerrahpasa Institute of Graduate Studies, Istanbul.
  • Aytekin, M., Serengil, Y. 2022. Assessment of Vulnerability, Resilience Capacity and Land Use Within the Scope of Climate Change Adaptation: The Case of Balıkesir-Susurluk Basin, Kastamonu University Journal of Forestry Faculty, 22(2): 112-124.
  • Beven, K., Kirkby, M., Schofield, N., Tagg, A. 1984. Testing a physically-based flood forecasting model (TOPMODEL) for three UK catchments, Journal of Hydrology, 69(1): 119-143.
  • Blistanova, M., Zelenakova, M., Blisten, P., Ferencz, V. 2016. Assessment of flood vulnerability in Bodva river basin, Slovakia, Acta Montanistica Slovaca, 21(1): 19-28.
  • Cai, S., Fan, J., Yang, W. 2016. Flooding Risk Assessment and Analysis Based on GIS and the TFN-AHP Method: A Case Study of Chongqing, China, Atmosphere, 12(5): 623.
  • Choubin, B., Moradi, E., Golshan, M., Adamowski, J., Hosseini, F.S., Mosavi, A. 2019. An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines, Science of the Total Environment, 651, 2087-2096.
  • CORINE (Coordination of Information on the Environment), 2018. Copernicus Pan-European Land Monitoring Service. https://land.copernicus.eu/pan-european/corine-land-cover/clc2018 (Data accessed: 26.01.2018).
  • Dandapat, K., Panda, G.K. 2017. Flood vulnerability analysis and risk assessment using analytical hierarchy process, Modeling Earth Systems and Environment, 3: 1627-1646.
  • Danumah, J.H., Odai, S.N., Saley, B.M., Szarzynski, J., Thiel, M., Kwaku, A., Kouame, F.K., Akpa, L.Y. 2016. Flood risk assessment and mapping in Abidjan district using multi-criteria analysis (AHP) model and geoinformation techniques, (cote d’Ivoire), Geoenvironmental Disasters, 3, 10.
  • Das, S. 2020. Flood susceptibility mapping of the Western Ghat coastal belt using multi-source geospatial data and analytical hierarchy process (AHP), Remote Sensing Applications: Society and Environment, 20, 100379.
  • Desalegn, H., Mulu, A. 2020. Flood vulnerability assessment using GIS at Fetam watershed, upper Abbay basin, Ethiopia, Heliyon, 7 (1), e05865, ISSN 2405-8440.
  • Eguaroje, O.E., Alaga, T.A., Ogbole, J.O., Omolere, S., Alwadood, J., Kolawole, I.S., Muibi, K.H., Nnaemeka, D., Popoola, D.S., Samson, S.A., Adewoyin, J.E., Jesuleye, I., Badru, R.A., Atijosan, A., Ajileye, O.O. 2015. Flood Vulnerability Assessment of Ibadan City, Oyo State, Nigeria, Word Environment, 5(4): 149-159.
  • Elmoustafa, A.M. 2012. Weighted normalized risk factor for floods risk assessment, Ain Shams Engineering Journal, 3: 327-332.
  • EU-DEM (European Digital Elevation Model) 2018: Copernicus Land Monitoring Service. EU-DEM v.1.1. https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1. (Data accessed: 15.02.2019).
  • Fang, L., Huang, J., Cai, J., Nitivattananon, V. 2022. Hybrid Approach for Flood Susceptibility Assessment in a Flood-Prone Mountainous Catchment in China, Journal of Hydrology, 612, 128091.
  • Feloni, E., Mousadis, I., Baltas, E. 2020. Flood vulnerability assessment using a GIS based multicriteria approach, The case of Attica region, Journal of Flood Risk Management, 13, S1, e12563.
  • Getahun, Y.S. Gebre, S.L. 2015. Flood Hazard Assessment and Mapping of Flood Inundation Area of the Awash River Basin in Ethiopia using GIS and HEC-GeoRAS/HEC-RAS Model, Journal of Civil and Environmental Engineering, 5: 179.
  • Ghosh, A., Kar, S.K. 2018. Application of analytical hierarchy process (AHP) for flood risk assessment: a case study in Malda district of West Bengal, India, Natural Hazards, 94, 349-368.
  • Hamlat, A., Kadri, C.B., Guidoum, A., Bekkaye, H. 2021. Flood hazard areas assessment at a regional scale in M’zi wadi basin, Algeria, Journal of African Earth Sciences, 182, 104281.
  • Hassanuzzaman, Md., Adhikary, P.P., Bera, B., Shit, P.K. 2022. Flood Vulnerability Assessment Using AHP and Frequency Ratio Techniques, in book: Spatial Modelling of Flood Risk and Flood Hazards, Societal Implications, 91-104.
  • Hoque, M.A.A., Tasfia, S., Ahmed, N., Pradhan, B. 2019. Assessing spatial flood vulnerability at Kalapara upazila in Bangladesh using an analytic hierarchy process, Sensors (Switzerland), 19(6): 1–19.
  • Hussain, M., Tayyab, M., Zhang, J., Shah, A.A., Ullah, K., Mehmood, U., Al-Shaibah, B. 2021. GIS‐Based Multi‐Criteria Approach for Flood Vulnerability Assessment and Mapping in District Shangla: Khyber Pakhtunkhwa, Pakistan, Sustainability, 13(6): 3126.
  • IPCC (Intergovernmental Panel on Climate Change). 2001. Climate Change 2001: Impacts, Adaptation, and Vulnerability, Contribution of Working Group II to the Third Assessment Report of the Intergovernmental Panel on Climate Change [McCarthy, J.J., Canziani, O.F., Leary, N.A., Dokken, D.J., & White, K.S., Eds.], Cambridge University Press: Cambridge, UK; New York, NY, USA.
  • IPCC (Intergovernmental Panel on Climate Change). 2022. Climate Change 2022: Impacts, Adaptation and Vulnerability, Intergovernmental Panel on Climate Change.
  • İnan, M., Öztürk, T. 2022. A simple approach on forest roads drainage structures planning using GIS: A case study of Şile-Turkey. Anadolu Orman Araştırmaları Dergisi 8 (2): 104-110.
  • Kazakis, N., Kougis, I., Patsialis, T. 2015. Assessment of flood hazard areas at a regional scale using an index-based approach and Analytical Hierarchy Process: Application in Rhodope–Evros region, Greece, Science of the Total Environment, 538, 555-563.
  • Kittipongvises, S., Phetrak, A., Rattanapun, P., Brundiers, K., Buizer, J.L., Melnick, R. 2020. AHP-GIS analysis for flood hazard assessment of the communities nearby the world heritage site on Ayutthaya Island, Thailand, International Journal of Disaster Risk Reduction, 48, 101612.
  • Lan-Fen, C., McAleer, M., Chang, C-C. 2012. Statistical Modelling of Extreme Rainfall in Taiwan, Tinbergen Institute Discussion Paper, TI 2013-006/III.
  • Lee, J.S., Choi, H. II. 2019. Comparative Analysis of Flood Vulnerability Indicators by Aggregation Frameworks for the IPCC’s Assessment Components to Climate Change, Applied Sciences, 9 (11): 2321.
  • Meraj, G., Romshoo, S.A., Yousuf, A.R., Altaf, S., Altaf F. 2015. Assessing the influence of watershed characteristics on the flood vulnerability of Jhelum basin in Kashmir Himalaya, Natural Hazards, 77: 153-175.
  • Merz, B., Aerts, J., Arnbjerg-Nielsen, K., Baldi, M., Becker, A., Bichet, A., Blöschl, G., Bouwer, L.M., Brauer, A., Cioffi, F., Delgado, J. M., Gocht, M., Guzzetti, F., Harrigan, S., Hirschboeck, K., Kilsby, C., Kron, W., Kwon, H., Lall, U., Merz, R., Nissen, K., Salvatti, P., Swierczynski, T., Ulbrich, U., Viglione, A., Ward, P.J., Weiler, M., Wilhelm, B., Nied, M. 2014. Floods and climate: Emerging perspectives for flood risk assessment and management, Natural Hazards and Earth System Sciences, Discussions, 2, 1559-1612.
  • Meyer, V., Haase, D., Scheuer, S. 2007. GIS-based multi-criteria analysis as decision support in flood risk management, UFZ-Diskussionspapiere, 6/2007.
  • MGM, 2018. General Directorate of Meteorology. https://mevbis.mgm.gov.tr/mevbis/ui/index.html (Data accessed 01.13.2021).
  • Moel, H.D., Jongman, B., Kreibich, H., Merz, B., Penning-Rowsell, E., Ward, P.J. 2015. Flood risk assessments at different spatial scales, Mitigation and Adaptation Strategies for Global Change, 20, 865-890.
  • Mohammad, H. 2016. Flood vulnerability assessment applying GIS and remote sensing methods: A case study on the Al Kabeer Al Shemali River flood zone in Latakia, Thesis, 39th International Postgraduate Course on Environmental Engineering for Developing and Emerging Countries.
  • Mohamed, S.A. 2019. Application of satellite image processing and GIS-Spatial modeling for mapping urban areas prone to flash floods in Qena governorate, Egypt, Journal of African Earth Sciences. 158, 103507.
  • Nahin, K.T.K., Islam, S.B., Mahmud, S., Hossain, I. 2023. Flood vulnerability assessment in the Jamuna River floodplain using multi-criteria decision analysis: A case study in Jamalpur district, Bangladesh, Heliyon, 9, e14520.
  • Nsangou, D., Kpoumié, A., Mfonka, Z., Ngouh, A.N., Fossi, D.H., Jourdan, C., Mbele, H.Z., Mouncherou, O.F., Vandervaere, J.P., Ngoupayou, J.R.N. 2022. Urban flood susceptibility modelling using AHP and GIS approach: case of the Mfoundi watershed at Yaoundé in the South-Cameroon plateau. Scientific African, 15, e01043.
  • Nasiri, H., Yusof, M.J.M., Mohammed Ali, T.A. 2016. An overview to flood vulnerability assessment methods, Sustainable Water Resource Management, 2: 331-336.
  • Norman, L.M., Huth, H., Levick, L., Burns, I.S., Guertin, D.P., Valencia, F.L. Semmens, D. 2010. Flood hazard awareness and hydrologic modelling at Ambos Nogales,United States-Mexico border, Journal of Flood Risk Management, 3: 151-165.
  • Ogata, G.S., Bantider, A., Abebe, K., Geneletti, D. 2020. Geographic information system (GIS)-Based multi-criteria analysis of flooding hazard and risk in Ambo Town and its watershed, West shoa zone, oromia regional State, Ethiopia, Journal of Hydrology: Regional Studies, 27, 100659.
  • Ogden, F.L., Pradhan, N.R., Downer, C.W., Zahner, J.A. 2011. Relative importance of impervious area, drainage density, width function, and subsurface storm drainage on flood runoff from an urbanized catchment, Water Resource Research, 47, W12503.
  • Ouma, Y.O., Tateishi, R. 2014. Urban Flood Vulnerability and Risk Mapping Using Integrated Multi-Parametric AHP and GIS: Methodological Overview and Case Study Assessment, Water, 6: 1515-1545. Papaioannou, G., Vasiliades, L., Loukas, A. 2015. Multi-Criteria Analysis Framework for Potential Flood Prone Areas Mapping, Water Resources Management, 29: 399–418.
  • Rimba, A.B., Setiawati, M.D., Sambah, A.B., Miura, F. 2017. Physical Flood Vulnerability Mapping Applying Geospatial Techniques in Okazaki City, Aichi Prefecture, Japan, Urban Science, 1, 7.
  • Saaty, T.L. 1977. A scaling method for priorities in hierarchical structures, Journal of Mathematical Psychology, 15 (3): 234-281.
  • Saaty, T.L. 1980. The Analytic Hierarchy Process, McGraw-Hill: New York, NY, USA.
  • Saaty, T.L. 2000. Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process, 2nd ed. Pittsburgh, PA: RWS Publications.
  • Saaty, T. 2004. Decision-making – the analytic hierarchy and network processes (AHP/ANP), Journal of Systems Science and Systems Engineering, 13 (1): 1-35.
  • Sakulsri, T., Phlainoi, S., Pattanakiat, S. Punpuing, S. 2015. Geographic Information System for Flood Hazard Area Delineation and Estimation of At-Risk Households at the Community Level: A Case Study of Salaya Sub-District, Nakhon Pathom Province, Journal of Population and Social Studies, 23(2): 168 -179.
  • Samanta, R.K., Bhunia, G.S., Shit, P.K., Pourhgasemi, H.R. 2018. Flood susceptibility mapping using geospatial frequency ratio technique: a case study of Subarnarekha River Basin, India, Modeling Earth Systems and Environment, 4: 395-408.
  • Scolobig, A. and Castn Broto, V., Zabala, A. 2008. Integrating multiple perspectives in social multi-criteria evaluation of flood-mitigation alternatives: the case of Malborghetto-Valbruna, Environment and Planning C Government and Policy, 26(6): 1143-1161.
  • Seejata, K., Yodying, A., Wongthadam, T., Mahavik, N., Tantanee, S. 2018. Assessment of flood hazard areas using Analytical Hierarchy Process over the Lower Yom Basin, Sukhothai Province, Procedia Engineering, 212: 340-347.
  • Shekar, P.R., Mathew, A. 2023. Chapter 7: Flood susceptibility mapping of the Peddavagu River Basin using GIS-AHP techniques. Developments in Environmental, 14: 125-141.
  • Taherdoost, H., Madanchian, M. 2023. Multi-Criteria Decision Making (MCDM) Methods and Concepts, Encyclopedia, 3: 77–87.
  • Tanavud, C., Yongchalermchai, C., Bennui, A., Densreeserekul, O. 2004. Assessment of flood risk in Hat Yai Municipality, Southern Thailand, using GIS, Journal of Natural Disaster Science, 26(1): 1-14.
  • Tehrany, M.S., Pradhan, B., Jebur, M.N. 2013. Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical model in GIS, Journal of Hydrology, 504: 69-79.
  • Tucker, G.E., Bras, R.L. 1998. Hill slope processes, drainage density and landscape morphology, Water Resource Research, 34(10): 2751-2764.
  • Van, C.T., Tri, D.Q., Son, N.T., Thao, T.T.T., Hoa, D.T.H. 2019. Determining the vulnerability index in the context of high floods in A Giang Province, Conference paper, 5th International Conference on Environment and Renewable Energy (ICERE 2019) 25-28 February 2019, Ho Chi Minh City, Vietnam.
  • Vignesh, K.S., Anandakumar, I., Ranjan, R., Borah, D. 2020. Flood vulnerability assessment using an integrated approach of multi-criteria decision-making model and geospatial techniques, Modeling Earth Systems and Environment, 7, 767–781.
  • Vijith, H., Satheesh, R. 2006. GIS based morphometric analysis of two major upland subwatersheds of Meenachil River in Kerala, Journal of the Indian Society of Remote Sensing, 34, 183.
  • Zelenakova, M., Blistan, P., Purcz, P., Fijko, R. 2017. Multi-criteria Analysis for Flood Vulnerable Areas in Southeastern Slovakia, Eurasian Journal of Environmental Research, 1(2): 8-19.
  • Zlaugotne, B., Zihare, L., Balode, L., Kalnbalkite, A., Khabdullin, A., Blumberga, D. 2020. Multi-Criteria Decision Analysis Methods Comparison, Environmental and Climate Technologies, 24 (1): 454-471.
  • Wang, Y., Li, Z., Tang, Z., Zeng, G. 2011. A GIS-Based Spatial Multi-Criteria Approach for Flood Risk Assessment in the Dongting Lake Region, Hunan, Central China, Water Resource Management, 25: 3465-3484.
  • Wondim, Y.K. 2016. Flood Hazard and Risk Assessment Using GIS and Remote Sensing in Lower Awash Sub-basin, Ethiopia, Journal of Environment and Earth Science, 6(9): 69-86.
There are 70 citations in total.

Details

Primary Language English
Subjects Forestry Sciences (Other)
Journal Section Research Articles
Authors

Mustafa Aytekin 0000-0003-2988-3196

Yusuf Serengil 0000-0001-5761-9822

Muhittin İnan 0000-0001-8179-9499

Project Number TUBITAK; CAYDAG 116Y446/1003
Early Pub Date February 2, 2025
Publication Date
Submission Date August 5, 2024
Acceptance Date October 20, 2024
Published in Issue Year 2025 Volume: 11 Issue: 1

Cite

APA Aytekin, M., Serengil, Y., & İnan, M. (2025). A GIS Based Quick Assessment Method of Flood Vulnerability: Susurluk Basin Case. European Journal of Forest Engineering, 11(1), 1-14. https://doi.org/10.33904/ejfe.1527247

Creative Commons License

The works published in European Journal of Forest Engineering (EJFE) are licensed under a  Creative Commons Attribution-NonCommercial 4.0 International License.