Flood susceptibility mapping of Kathmandu metropolitan city using GIS-based multi-criteria decision analysis

被引:21
|
作者
Chaulagain, Deepak [1 ,3 ]
Rimal, Parshu Ram [2 ]
Ngando, Same Noel [1 ,3 ]
Nsafon, Benyoh Emmanuel Kigha [3 ]
Suh, Dongjun [1 ]
Huh, Jeung-Soo [1 ,3 ]
机构
[1] Kyungpook Natl Univ, Grad Sch, Dept Convergence & Fus Syst Engn, Dept Energy Convergence & Climate Change, Sanjgu 37224, South Korea
[2] Univ Hohenheim, Inst Agr Policy & Agr Market Theory, Stuttgart, Germany
[3] Kyungpook Natl Univ, Inst Global Climate Change & Energy, Daegu 41566, South Korea
基金
新加坡国家研究基金会;
关键词
Analytical hierarchy process; Flood hazard criteria; Flood potential zone; Local administrative unit; ASSESSMENT FRAMEWORK; RISK-ASSESSMENT; CLIMATE-CHANGE; VULNERABILITY; VALLEY; URBANIZATION; SYSTEM; MODEL; BASIN;
D O I
10.1016/j.ecolind.2023.110653
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Floods are among the most severe hazards around the world triggered by climate change, threatening environmental sustainability, economies, and ecological cycles and damaging infrastructure and causing loss of lives. We aimed to prepare a flood susceptibility map of Kathmandu metropolitan city (KMC) and identify the most flood-susceptible local administrative unit using a multi-criteria decision analysis model, including the analytical hierarchical process and weighted linear combination in geographic information system. Six flood hazard criteria-slope, elevation, drainage density, rainfall, land use and cover, and distance from river-were proposed to produce a flood susceptibility map. Among them, distance from river was the most significant criterion followed by rainfall and land use and land cover. The results showed that a large proportion (56%) of KMC is in moderate flood potential zone, while 32% and 11% proportions of KMC are in high and low flood potential zones, respectively. Wards 4 and 14 of KMC are the highest and lowest flood prone zones, respectively. The accuracy of the obtained map by multicriteria decision model is 81.2%, which was validated through observation of the significant flood events and flood location. These findings are useful for flood risk mitigation and logical allocation of programme budget to the local units. The procedures applied in this study are helpful for hydrologists, urban planners, policymakers, and professionals in hydrology.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] Designating Appropriate Areas for Flood Mitigation and Rainwater Harvesting in Arid Region Using a GIS-based Multi-criteria Decision Analysis
    Abd-el-Kader, Mahmoud M.
    El-Feky, Ahmed M.
    Saber, Mohamed
    AlHarbi, Maged M.
    Alataway, Abed
    Alfaisal, Faisal M.
    WATER RESOURCES MANAGEMENT, 2023, 37 (03) : 1083 - 1108
  • [42] Designating Appropriate Areas for Flood Mitigation and Rainwater Harvesting in Arid Region Using a GIS-based Multi-criteria Decision Analysis
    Mahmoud M. Abd-el-Kader
    Ahmed M. El-Feky
    Mohamed Saber
    Maged M. AlHarbi
    Abed Alataway
    Faisal M. Alfaisal
    Water Resources Management, 2023, 37 : 1083 - 1108
  • [43] A Hybrid GIS Multi-Criteria Decision-Making Method for Flood Susceptibility Mapping at Shangyou, China
    Wang, Yi
    Hong, Haoyuan
    Chen, Wei
    Li, Shaojun
    Pamucar, Dragan
    Gigovic, Ljubomir
    Drobnjak, Sinisa
    Dieu Tien Bui
    Duan, Hexiang
    REMOTE SENSING, 2019, 11 (01)
  • [44] Capabilities of a GIS-based multi-criteria decision analysis approach in modelling migration
    Mohd Fadzil Abdul Rashid
    GeoJournal, 2019, 84 : 483 - 496
  • [45] A GIS-Based Multi-Criteria Decision Analysis Model for Determining Glacier Vulnerability
    Yalcin, Mustafa
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 9 (03)
  • [46] Capabilities of a GIS-based multi-criteria decision analysis approach in modelling migration
    Rashid, Mohd Fadzil Abdul
    GEOJOURNAL, 2019, 84 (02) : 483 - 496
  • [47] Assessment of flood susceptibility in Cachar district of Assam, India using GIS-based multi-criteria decision-making and analytical hierarchy process
    Borah, Preeti Barsha
    Handique, Arpana
    Dutta, Chandra Kumar
    Bori, Diram
    Acharjee, Shukla
    Longkumer, Lanusashi
    NATURAL HAZARDS, 2025, : 7625 - 7648
  • [48] GIS-based Multi-criteria Analysis Method for Flood Risk Assessment under Urbanization
    Xiao, Yangfan
    Yi, Shanzhen
    Tang, Zhongqian
    2016 24TH INTERNATIONAL CONFERENCE ON GEOINFORMATICS (GEOINFORMATICS), 2016,
  • [49] Mapping flood susceptibility with PROMETHEE multi-criteria analysis method
    Plataridis K.
    Mallios Z.
    Environmental Science and Pollution Research, 2024, 31 (28) : 41267 - 41289
  • [50] A comparative study based on AHP and fuzzy logic approaches for landslide susceptibility zoning using a GIS-based multi-criteria decision analysis
    Ksantini, Faten
    Sdiri, Ali
    Aydi, Abdelwaheb
    Almeida-Naunay, Andres Felipe
    Achour, Hammadi
    Tarquis, Ana M.
    EURO-MEDITERRANEAN JOURNAL FOR ENVIRONMENTAL INTEGRATION, 2025, 10 (02) : 649 - 668