Assessment of vulnerability to flood risk in the Padma River Basin using hydro-morphometric modeling and flood susceptibility mapping

被引:1
|
作者
Abrar, Mohammed Fahim [1 ]
Iman, Yasin Edmam [2 ]
Mustak, Mubashira Binte [3 ]
Pal, Sudip Kumar [1 ]
机构
[1] Chittagong Univ Engn & Technol, Dept Civil Engn, Chittagong 4349, Bangladesh
[2] Univ Dhaka, Mymensingh Engn Coll, Dept Civil Engn, Mymensingh 2208, Bangladesh
[3] Khulna Univ, Life Sci Sch, Environm Sci Discipline, Khulna 9208, Bangladesh
关键词
Multi-criteria decision support system; Hydro-morphometric modelling; Geographic information system (GIS); Flood susceptibility; Padma River Basin; Analytical hierarchy process (AHP); ANALYTIC HIERARCHY PROCESS; PRONE AREAS; MANAGEMENT; GIS; BANGLADESH; ELEVATION; REGION; HAZARD; DELTA;
D O I
10.1007/s10661-024-12780-2
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
An evaluation of flood vulnerability is needed to identify flood risk locations and determine mitigation methods. This research introduces an integrated method combining hydro-morphometric modeling and flood susceptibility mapping to assess Padma River Basin's flood risk. Flood zoning, flooding classes, and resource flood risk were explicitly analyzed in this river basin study. Flood risk was calculated using GIS-based hydro-morphometric modeling. Using Horton's and Strahler's methods, drainage density, stream density, and stream order of the Padma River Basin were determined. The Padma River Basin has five sub-basins: A, B, C, D, and E, with stream densities of 0.53 km-2, 0.13 km-2, 0.25 km-2, 0.30 km-2, and 0.28 km-2 and drainage densities of 0.63 km-1, 0.16 km-1, 0.29 km-1, 0.35 km-1, and 0.33 km-1, respectively. Sub-basin A is the most prone to floods due to its high stream and drainage density, whereas B and C are the least susceptible. This study used elevation, TWI, slope, precipitation, NDVI, distance from road, drainage density, distance from river, LU/LC, and soil type to create a flood vulnerability map incorporating GIS and AHP with pair-wise comparison matrix (PCM). The study's flood zoning shows that the northeastern part of this basin is more likely to flood than the southwestern part due to its elevation and high-order streams. Moderate River Flooding, the region's most hazardous flood class, covers 48.19% of the flooding area, including 1078.30 km2 of agricultural land, 94.86 km2 of bare soil, 486.39 km2 of settlements, 586.42 km2 of vegetation cover, and 39.34 km2 of water bodies. The developed hydro-morphometric model, the flood susceptibility map, and the analysis of this data may be utilized to offer long-term advance alarm insight into areas potentially to be invaded by a flood catastrophe, boosting hazard mitigation and planning.
引用
收藏
页数:22
相关论文
共 50 条
  • [1] Flood vulnerability assessment of the upper Cross River basin using morphometric analysis
    Ogarekpe, Nkpa M.
    Obio, Ekpe A.
    Tenebe, Imokhai T.
    Emenike, PraiseGod C.
    Nnaji, Chidozie C.
    GEOMATICS NATURAL HAZARDS & RISK, 2020, 11 (01) : 1378 - 1403
  • [2] A dataset for the flood vulnerability assessment of the upper Cross River basin using morphometric analysis
    Ogarekpe, Nkpa
    Obio, Ekpe
    Tenebe, Imokhai
    Emenike, PraiseGod
    Nnaji, Chidozie
    DATA IN BRIEF, 2020, 30
  • [3] Risk analysis and vulnerability assessment in flood protection and river basin management
    De Wrachien, D.
    Mambretti, S.
    Sole, A.
    FLOOD RECOVERY, INNOVATION AND RESPONSE, 2008, 118 : 3 - +
  • [4] Assessment of flood vulnerability in Osun River Basin using AHP method
    O. I. Ogundolie
    S. O. Olabiyisi
    R. A. Ganiyu
    Y. S. Jeremiah
    F. A. Ogundolie
    BMC Environmental Science, 1 (1):
  • [5] Assessment of flood vulnerability in Bodva river basin, Slovakia
    Blistanova, Monika
    Zelenakova, Martina
    Blistan, Peter
    Ferencz, Vojtech
    ACTA MONTANISTICA SLOVACA, 2016, 21 (01) : 19 - 28
  • [6] Flood susceptibility modeling based on morphometric parameters in Upper Awash River basin, Ethiopia using geospatial techniques
    Tola, Sintayehu Yadete
    Shetty, Amba
    SUSTAINABLE WATER RESOURCES MANAGEMENT, 2022, 8 (02)
  • [7] Flood susceptibility modeling based on morphometric parameters in Upper Awash River basin, Ethiopia using geospatial techniques
    Sintayehu Yadete Tola
    Amba Shetty
    Sustainable Water Resources Management, 2022, 8
  • [8] Flood inundation modeling and hazard assessment in Lower Ping River Basin using MIKE FLOOD
    Husnain Tansar
    Muhammad Babur
    Surchai Lai Karnchanapaiboon
    Arabian Journal of Geosciences, 2020, 13
  • [9] Flood inundation modeling and hazard assessment in Lower Ping River Basin using MIKE FLOOD
    Tansar, Husnain
    Babur, Muhammad
    Karnchanapaiboon, Surchai Lai
    ARABIAN JOURNAL OF GEOSCIENCES, 2020, 13 (18)
  • [10] Flood Susceptibility Modeling of Megech River Catchment, Lake Tana Basin, North Western Ethiopia, Using Morphometric Analysis
    Jothimani, Muralitharan
    Dawit, Zerihun
    Mulualem, Wuletaw
    EARTH SYSTEMS AND ENVIRONMENT, 2021, 5 (02) : 353 - 364