Abstract
Flood hazard zoning is an important problem that has received much attention from environmental researchers. This problem requires complex spatial analysis; hence, numerous criteria have to be assessed. Factors contributing to the flood formation includes both natural and socioeconomic ones. However, the central question is what factors are important in creating a flood and how to quantify these factors. To answer this question, one of the popular approaches is the analytical hierarchy process (AHP) developed by Saaty. The usage of the AHP algorithm to calculate the weight of each factor is one of the main steps in the process of creating a flood hazard map. This paper will provide an overview of the factors that affect flood formation and analyze their weight by selecting and evaluating the degree of effect of factors in various research using the AHP algorithm. The results can be used as a reference for studies on flood risk zoning in different basins when selecting the impact criteria.
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Some or all data and models that support the findings of this study are available from the corresponding author upon reasonable request.
References
Amirahmadi A, Jahanfar A, Parsyany K (2013) ANP model's ability in flood hazard zonation (case study catchment Islamabad West), Fifth conference on water resources management in Iran
Arianpour M, Jamali A (2015) Flood hazard zonation using spatial multi-criteria evaluation (SMCE) in GIS (case study: Omidieh–Khuzestan. Eur Online J Nat Soc Sci 4(1):39–49
Asare-Kyei D, Forkuor G, Venus V (2015) Modeling flood hazard zones at the Sub-District level with the rational model integrated with GIS and remote sensing approaches. Water 7:3531–3564
Catherin RS, Sheeja RV, Shashi M (2017) GIS-based urban flood management: a case study of Trivandrum City, India. In: Conference Paper, conference: ISRS ISG-2016
Cu NV (2003) Researching scientific arguments for solutions to prevent and limit the flood consequences in the Ba river basin, national-level project. In Vietnamese
Dask P, Sar J (2020) Identification and validation of potential flood hazard area using GIS-based multi-criteria analysis and satellite data-derived water index. J Flood Risk Manag 13(3):e12620
Dung NB, Minh DT (2017) Flood hazard zoning in Lam river basin, Vietnam, using GIS and analytic hierarchy process (AHP). In: Proceedings of international conference on geo-spatial technologies and earth resources, Publishing house for science and technology, pp 837–843
Dung NB, Minh DT, Long NQ, Ha LTT (2020a) Weight of factors contributing to flood formation in the Lam river basin, Vietnam. SW Jiaotong Univ 55(2). https://doi.org/10.35741/issn.0258-2724.55.2.50
Dung NB, Minh DT, Ahmad A, Long NQ (2020b) The role of relative slope length in flood hazard mapping using AHP and GIS (case study: Lam River Basin, Vietnam). Geogr Environ Sustain 13(2):115–123
Dung N, Long NQ, An DT, Minh DT (2021) Multi-geospatial flood hazard modelling for a large and complex river basin with data sparsity: a case study of the Lam River Basin, Vietnam. Earth Syst Environ. https://doi.org/10.1007/s41748-021-00215-8
Elsheikh R, Ouerghi S, Elhag AR (2015) Flood risk map based on GIS, and multi criteria techniques (case study Terengganu Malaysia). J Geogr Inf Syst 7:348–357
Fatima ZE, Said B, Ahmed E, Mohammed O (2018) Assessing flood hazard at River Basin Scale: comparison between HECRAS-WMS and Flood Hazard Index (FHI) methods applied to El Maleh Basin, Morocco. Sci Res 10(9):957–977
Fernández DS, Lutz MA (2010) Urban flood hazard zoning in Tucumán Province, Argentina, using GIS and multicriteria decision analysis. Eng Geol 111:90–98
Gemechu SO, Amare B, Ketema A, Davide G (2020) Geographic information system (GIS)-based multicriteria analysisof flooding hazard and risk in Ambo Town and its watershed, Westshoa zone, oromia regional State, Ethiopia. J Hydrol Reg Stud 27:100659
Generino PS, Sony EV, Proceso LF (2014) Analytic hierarchy process (AHP) in spatial modeling for floodplain risk assessment. Int J Mach Learn Comput 4(5):450–457
George DB, Hariklia DS, Efthimios K, Evangelos B (2016) Urban flood hazard assessment in the basin of Athens Metropolitan city, Greece. Environ Earth Sci 75(4):1–14
Gholami V, Asghari A, Salimi ET (2016) Flood hazard zoning using geographic information system (GIS) an HEC-RAS model. Casp J Environ Sci 14(3):263–272
Ghorbanzade M, Azarakhshi M, Mosaedi A, Rostami KM (2018) Evaluation of the efficiency of analytic hierarchy process (AHP) to specify the areas with urban flood risk potential, case study: the central part of Torbat Heydarieh. Phys Geogr Res Quat 49(4):645–656
Ghosh A, Kar SK (2018) Application of analytical hierarchy process (AHP) for flood risk assessment: a case study in Malda district of West Bengal, India. Nat Hazards 94:349–368
Gigović L, Pamučar D, Bajić Z, Drobnjak S (2017) Application of GIS-interval rough AHP methodology for flood hazard mapping in urban areas. Water 9:1–26
Glenn EM, Elfatih AB, Rafael LB (1998) On the sensitivity of drainage density to climate change. Water Resour Res 34(4):855–862
Hoque MA, Tasfia S, Ahmed N, Pradhan B (2019) Assessing spatial flood vulnerability at Kalapara Upazila in Bangladesh using an analytic hierarchy process. Sensors 19:1302
Islam MM, Sado K (1998) Application of remote sensing techniques with a geographic information system to study flood hazard in Bangladesh. In: Proceedings of the 27th international symposium on remote sensing of environment Tromso, Norway, pp. 745–748
Islam MM, Sado K (2000a) Development of flood hazard maps of Bangla using NOAA-AVHRR images with GIS. Urol Sci J 45(3):337–355
Islam MM, Sado K (2000b) Satellite remote sensing data analysis for flood damaged zoning with GIS for flood management. Annu J Hydraul Eng JSCE 44:301–306
Jean HD, Samuel NO, Bachir MS, Joerg S, Michael T, Adjei K, Femand KK, Lucette YA (2016) Flood risk assessment and mapping in Abidjan district using multi-criteria analysis (AHP) model and geoinformation techniques, (cote d’ivoire). Geoenviron Disasters 3(10):1–13
Jonathan SC, Han SL (2019) Flood-prone area assessment using GIS-based multi-criteria analysis: a case study in Davao Oriental, Philippines. Water 11(11):2203
Kamonchat S, Sarintip T (2018) Assessment of flood hazard areas using analytical hierarchy process over the Lower Yom Basin, Sukhothai Province. Proc Eng 212(2018):340–347
Kanchan M, Rajiv S (2020) Flood risk assessment in the Kosi megafan using multi-criteria decision analysis: a hydro-geomorphic approach. Geomorphology 350:106861
Kardavani P, Qalehe MH (2013) Efficiency of hydraulic models for flood zoning using GIS (case study: Ay-Doghmush River Basin). Life Sci J 10(2):915–924
Kastridis A, Stathis D (2017) The effect of rainfall intensity on the flood generation of mountainous watersheds (Chalkidiki Prefecture, North Greece). Perspectives on Atmospheric Sciences. Springer Atmospheric Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-35095-0_48
Kazakis N, Kougias 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. Sci Total Environ 538:555–563
Kittipongvises S, Phetrak A, Rattanapun P, Brundiers K, Buizer JL, Melnick R (2020) AHP-GIS analysis for flood hazard assessment of the communities nearby the world heritage site on Ayutthaya Island, Thailand. Int J Disaster Risk Reduct 48:101612
Kumari MW, Hans G, Arambepolac NMSI, Hari PV, Heratha JMK, Atapattua KB (2018) Qualitative flood risk assessment for the Western Province of Sri Lanka. Proc Eng 212:503–510
Lappas I, Kallioras A (2019) Flood susceptibility assessment through GIS-based multi-criteria approach and analytical hierarchy process (AHP) in a River Basin in Central Greece. Int Res J Eng Technol 06(03):738–751
Lawal DU, Matori AN, Hashim AM, Yusof KW, Chandio IA (2012) Detecting flood susceptible areas using GIS-based analytic hierarchy process, International Conference on Future Environment and Energy IPCBEE, IACSIT Press, vol. 28, pp 1–5
Lehner B, Verdin K, Jarvis A (2006) HydroSHEDS technical documentation (Washington, DC: World Wildlife Fund US). Available at http://hydrosheds.cr.usgs.gov
Liuzzo L, Sammartano V, Freni G (2019) Comparison between different distributed methods for flood susceptibility mapping. Water Resour Manag 33:3155–3173
Loan TKH, Umitsu M (2011) Micro-landform classification and flood hazard assessment of the Thu Bon alluvial plain, central Vietnam via an integrated method utilizing remotely sensed data. Appl Geogr 31:1082–1093
Marchesini I, Rossi M, Salvati P, Donnini M, Sterlacchini D, Guzzetti F (2016) Delineating flood prone areas using a statistical approach, PeerJ Preprints 4:e1937v2
Mayaja NA, Srinivasa CV (2016) Flood hazard zoning using analytic hierarchy process: a case study for Pampa river basin. Kerala, India. J Geomat 10(1):1–6
Md.Yousuf G, Md.Ashrahul I, Shakhawat H (2019) Flood-hazard mapping in a regional scale—way forward to the future hazard atlas in bangladesh. Malays J Geosci 3(1):01–11
Mehdi S, Hossein M, Farshid J, Ali RI, Javad C, Omid G, Elham N (2020) Integration of interval rough AHP and fuzzy logic for assessment of food prone areas at the regional scale. Acta Geophys 68:477–493
Minh DT (2019) Research on the application of special modeling in zoning flood hazard in flood warning in lam river basin, Ph.D. thesis, University of Mining and Geology (in Vietnamese-unpublished)
Nitin NM (2018) Multi-criteria decision making for vulnerability mapping of flood hazard: a case study of Pune City. J Geogr Stud 2(1):41–52
Niyongabire E, Rhinane H (2019) Geospatial techniques use for assessment of vulnerability to urban flooding in bujumbura city, burundi. The international archives of the photogrammetry, remote sensing and spatial information sciences, Volume XLII-4/W12, 2019 5th international conference on geoinformation science – geoadvances, Casablanca, Morocco, pp. 147–154
Nyarko BK (2000) Flood risk zoning of Ghana: Accra experience. In: International archives of photogrammetry and remote sensing, vol XXXIII, Part B7. Amsterdam, pp 1039–1050
Ouma YO, 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
Pal I, Meding JV, Shrestha S, Ahmed I, Gajendran T (2020) An interdisciplinary approach for disaster resilience and sustainability. Springer
Paweł C (2010) Using the analytic hierarchy process in evaluating decision alternative. Oper Res Decis 20(1):5–23
Phuong TT, Minh PT, Ngoc NB (2015) Establishing a flood risk zone map in Huong river basin, Thua Thien Hue province using GIS và AHP. Hue Univ J Sci (Hue University) 112(13) (in Vietnamese with English abstract)
Pradhan B (2010) Flood susceptible mapping and risk area delineation using logistic regression, GIS and remote sensing. J Spat Hydrol 9(2):9–18
Purnomo SN, Hardini P, Indriyati EW (2020) Flood hazard and risk assessment due to land use changes in Purbalingga, Indonesia. Int J Innovative Technol Explor Eng (IJITEE) 9(4):1315–1318
Rahmati O, Zeinivand H, Besharat M (2016) Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis. Geomat Nat Haz Risk 7:1000–1017
Ramke HG (2018) Collection of surface runoff and drainage of landfill top cover systems. Solid Waste Landfilling. https://doi.org/10.1016/B978-0-12-407721-8.00019-X
Rimba AB, Setiawati MD, Sambah AB, Miura F (2017) Physical flood vulnerability mapping applying geospatial techniques in Okazaki City, Aichi Prefecture, Japan. Urban Sci 1(7):1–7
Saaty TL (1987) The analytic hierarchy process—what it is and how it is used. Math Model (elsevier) 9(3–5):161–176
Saaty TL, Peniwati K (2008) Group decision making: drawing out and reconciling differrences. RWS Publications, Pitsburgh, p 8
Saini SS, Kaushik SP (2012) Risk and vulnerability assessment of flood hazard in part of Ghaggar basin: a case study of Guhla block, Kaithal, Haryana, India. Int J Geomat Geosci 3(1):42–54
Salma H, Lahcen Z, Dhekra S (2019) Application of the GIS based multi-criteria decision analysis and analytical hierarchy process (AHP) in the flood susceptibility mapping (Tunisia). Arab J Geosci 12(21):1–6
Sanam KA, Lynn MR, Luke J, Laurence WC (2020) A geospatial analysis of multi-hazard risk in Dharan, Nepal. Geomat Nat Hazards Risk 11(1):88–111
Shahiriparsa A, Heydare M, Sadeghian MS, Moharrampour M (2013) Flood zoning simulation by HEC-RAS Model (Case Study: Johor River-Kota Tinggi Region). J River Eng x1(1):33–38
Shahiriparsa A, Heydare M, Sadeghian MS, Moharrampour M (2013) Flood zoning simulation by HEC-RAS model (case study: Johor River-Kota Tinggi Region). J River Eng 1:33–38
Sinha R, Bapalu GV, Singh LK, Rath B (2008) Flood risk analysis in the Kosi River Basin, North Bihar using multi-parametric approach of analytical hierarchy process (AHP). J Indian Soc Remote Sens 36:293–307
Skilodimou HD, Bathrellos GD, Chousianitis K, Youssef AM, Pradhan B (2019) Multi-hazard assessment modeling via multi-criteria analysis and GIS: a case study. Environ Earth Sci 78(2):47
Somaiyeh K, Mehra M (2017) Assessment of flood hazard zonation in a mountainous area based on gis and analytical hierarchy process. Carpath J Earth Environ Sci 12(1):311–322
Sulaiman NA, Mastor TA, Mat MSC, Samad AM (2015) Flood hazard zoning and risk assessment for Bandar Segamat sustainability using analytical hierarchy process (AHP). IEEE 11th international colloquium on signal processing & its applications (CSPA), pp. 72 – 77. https://doi.org/10.1109/CSPA.2015.7225621
Tehrany MS, Pradhan B, Jebur MN (2013) Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS. J Hydrol 504:69–70
Thang GN, Bach LD (2005) To apply geodynamic analyses for studying the surface geological hazards (the floods and flash floods in North Central part of Vietnam). Vietnam J Earth Sci, pp. 123–132 (in Vietnamese with English abstract)
Tu LH, Hong NT, Liem ND, Loi NK (2013) Flood hazard zoning in Vu Gia River Basin Quang Nam Province Using AHP and GIS Technology. VNU J Sci Earth Environ Sci 29(3):64–72 (in Vietnamese with English abstract)
Uddin K, Gurung DR, Giriraj A, Shrestha B (2012) Application of remote sensing and GIS for flood hazard management: a case study from Sindh Province, Pakistan. Am J Geogr Inf Syst 2(1):1–5
Umar NK, Abdullahi HS, Usman AK (2019) A multi-criteria decision support system in the analysis of flood risk and vulnerability mapping in Suleja, Niger State, Nigeria. In: Proceedings of the international cartographic association, 2, 2019. 29th international cartographic conference (ICC 2019), 15–20 July 2019, Tokyo, Japan
Vojtek M, Vojteková J (2016) Flood hazard and flood risk assessment at the local spatial cale: a case study. Geomat Nat Hazards Risk 7(6):1973–1992
Yahaya S, Ahmad N, Abdalla RF (2010) Multicriteria analysis for flood vulnerable areas in Hadejia-Jama’are River Basin, Nigeria. Eur J Sci Res 42(1):71–83
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Dung, N.B., Long, N.Q., Goyal, R. et al. The Role of Factors Affecting Flood Hazard Zoning Using Analytical Hierarchy Process: A Review. Earth Syst Environ 6, 697–713 (2022). https://doi.org/10.1007/s41748-021-00235-4
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DOI: https://doi.org/10.1007/s41748-021-00235-4