Flood Susceptibility Modeling of Megech River Catchment, Lake Tana Basin, North Western Ethiopia, Using Morphometric Analysis

被引:19
|
作者
Jothimani, Muralitharan [1 ]
Dawit, Zerihun [1 ]
Mulualem, Wuletaw [1 ]
机构
[1] Univ Gondar, Coll Nat & Computat Sci, Dept Geol, Gondar, Ethiopia
关键词
Morphometry analysis; Flood susceptibility modeling; Megech river catchment; Lake Tana basin; Ethiopia; GEOGRAPHICAL INFORMATION-SYSTEM; GIS TECHNIQUES; SRTM DATA; PRIORITIZATION; SUBWATERSHEDS; HAZARD; PARAMETERS; SATELLITE; DISTRICT; EGYPT;
D O I
10.1007/s41748-020-00173-7
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The present study intended to flood susceptibility modeling by using drainage morphometric investigations of the Megech River catchment, Lake Tana Basin, North Western Ethiopia. Drainage morphometric criterion study performs a critical aspect in recognizing the factual aspects of river catchment with concern to floods. In the present study, we depicted the Megech River catchment into four sub-watersheds, followed by clipping off the drainage grid by using ALOS-PALSAR (Advanced Land Observing Satellite-Phased Array-Type L-Band Synthetic Aperture Radar) digital elevation model, toposheets, and Landsat-8 Operational Land Imager coupled with the Geographic Information System (GIS) program. The drainage morphometric parameters, such as basic, linear, areal and relief, were calculated in the current research by using the standard formula. The morphometric parameters, such as bifurcation ratio, drainage density, length of overland flow and drainage frequency, have a direct connection with flood susceptibility. Hence, rank 1 assigned to the highest values of the above-mentioned parameters followed by second-rank to second-highest value and rank third given the lowest value of the above parameters. The morphometric parameters, such as circulatory ratio, form factor, elongation ratio, drainage texture and compactness coefficient, have a reverse relation with flood proneness. Hence, rank 1 assigned to the lowest values of those parameters, followed by rank two to the second-lowest value and rank three given to the highest value of the above parameters. The compound factor is computed by aggregating the assigned ranks of the morphometric drainage parameters mentioned above and then dividing by the number of morphometric criteria used for sub-watersheds prioritization. The results of the present study displayed sub-watershed 3 scored very high prioritization (Ist), including a compound factor value of 1.89, and sub-watershed 2 got the highest compound factor value of 3.11, and it scored the lowest rank (IVth). The found sub-watershed 3 in the current research area was acquired as a high-priority grade one, and it demands urgent flood regulation remedies for competent water budget devising and administration in the Megech catchment area. The current study demonstrates the capability of sub-watershedwise drainage morphometric investigations in the flood susceptibility analysis using toposheets, optical remote sensing data and digital elevation model associated with GIS tools.
引用
收藏
页码:353 / 364
页数:12
相关论文
共 50 条
  • [31] Assessing current and projected soil loss under changing land use and climate using RUSLE with Remote sensing and GIS in the Lake Tana Basin, Upper Blue Nile River Basin, Ethiopia
    Getachew, Birhan
    Manjunatha, Busnur R.
    Bhat, Gangadhara H.
    EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES, 2021, 24 (03): : 907 - 918
  • [32] Morphometric analysis using SRTM and GIS in synergy with depiction: a case study of the Karmanasa River basin, North central India
    K. Prakash
    Diksha Rawat
    S. Singh
    K. Chaubey
    S. Kanhaiya
    T. Mohanty
    Applied Water Science, 2019, 9
  • [33] Morphometric analysis using SRTM and GIS in synergy with depiction: a case study of the Karmanasa River basin, North central India
    Prakash, K.
    Rawat, Diksha
    Singh, S.
    Chaubey, K.
    Kanhaiya, S.
    Mohanty, T.
    APPLIED WATER SCIENCE, 2019, 9 (01)
  • [34] Flood susceptibility prediction using multi criteria decision analysis and bivariate statistical models: a case study of Lower Kosi River Basin, Ganga River Basin, India
    Arora, Aman
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2023, 37 (05) : 1855 - 1875
  • [35] Flood susceptibility prediction using multi criteria decision analysis and bivariate statistical models: a case study of Lower Kosi River Basin, Ganga River Basin, India
    Aman Arora
    Stochastic Environmental Research and Risk Assessment, 2023, 37 : 1855 - 1875
  • [36] Flood hazard assessment and mapping using GIS integrated with multi-criteria decision analysis in upper Awash River basin, Ethiopia
    Hagos, Yonas Gebresilasie
    Andualem, Tesfa Gebrie
    Yibeltal, Mesenbet
    Mengie, Mequanent Abathun
    APPLIED WATER SCIENCE, 2022, 12 (07)
  • [37] Flood hazard assessment and mapping using GIS integrated with multi-criteria decision analysis in upper Awash River basin, Ethiopia
    Yonas Gebresilasie Hagos
    Tesfa Gebrie Andualem
    Mesenbet Yibeltal
    Mequanent Abathun Mengie
    Applied Water Science, 2022, 12
  • [38] Three-dimensional groundwater flow modeling to assess the impacts of the increase in abstraction and recharge reduction on the groundwater, groundwater availability and groundwater-surface waters interaction: A case of the rib catchment in the Lake Tana sub-basin of the Upper Blue Nile River, Ethiopia
    Mamo, Sileshi
    Birhanu, Behailu
    Ayenew, Tenalem
    Taye, Getnet
    JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2021, 35
  • [39] Glacial lake outburst flood risk assessment using remote sensing and hydrodynamic modeling: a case study of Satluj basin, Western Himalayas, India
    Rawat, Manish
    Jain, Sanjay Kumar
    Ahmed, Rayees
    Lohani, Anil Kumar
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (14) : 41591 - 41608
  • [40] Flood hazard mapping and analysis under climate change using hydro-dynamic model and RCPs emission scenario in Woybo River catchment of Ethiopia
    Ukumo, Tigistu Yisihak
    Abebe, Adane
    Lohani, Tarun Kumar
    Edamo, Muluneh Legesse
    WORLD JOURNAL OF ENGINEERING, 2023, 20 (03) : 559 - 576