Flash flood risk assessment using geospatial technology in Shewa Robit town, Ethiopia

被引:0
|
作者
Awlachew Dejen
Sandeep Soni
机构
[1] Debre Berhan University,Department of Geography and Environmental Studies
关键词
Shewa robit; Geospatial technology; Flash flood; Risk assessment;
D O I
暂无
中图分类号
学科分类号
摘要
Flash flood is an extreme flooding event which is quick, short-lived, hazardous phenomena having negative environmental and socio-economic impacts. Flood risk management is essential to reduce the effects of flood on human lives and livelihoods. The main goals of this research were flash flood risk analysis and risk quantification in terms of land use land cover using geo-spatial technology in Shewa Robit town. In the present study, elevation, slope, drainage density, distance from river, NDVI, land use land cover, topographic wetness index and curvature were used as parameters determining flash flood risk. To realize these research objectives, all these data were reclassified in to five classes and different weights for each of them was assigned using analytic hierarchy process. Weighted Sum Overlay (WSO) analyses of ARC GIS software was employed to produce flood vulnerability map. Then, the accuracy of generated flood risk map was validated using historical flood data. According to the result, about 3.08%, 14.62% and 20.66% of Shewa Robit town are at a very high, high and moderate flash flood risk, respectively. In addition to this, flood risk was also quantified in terms of land use land cover. The result indicates that the settlement land use is the most vulnerable with an estimated area of 12.01 ha, 99.57 ha and 174.16 ha in very high, high and moderate risk classes. The outcome of the study will be applicable in flood hazard management and mitigation strategies.
引用
收藏
页码:2599 / 2617
页数:18
相关论文
共 50 条
  • [21] Flash Flood Risk Assessment for Kyushu Island, Japan
    Shehata, Mohammad
    Mizunaga, Hideki
    ENVIRONMENTAL EARTH SCIENCES, 2018, 77 (03)
  • [22] Flash Flood Risk Assessment for Kyushu Island, Japan
    Mohammad Shehata
    Hideki Mizunaga
    Environmental Earth Sciences, 2018, 77
  • [23] Investigation of groundwater resources in highland Ethiopia using a geospatial technology
    Desalew Meseret Moges
    H. Gangadhara Bhat
    K. P. Thrivikramji
    Modeling Earth Systems and Environment, 2019, 5 : 1333 - 1345
  • [24] Investigation of groundwater resources in highland Ethiopia using a geospatial technology
    Moges, Desalew Meseret
    Bhat, H. Gangadhara
    Thrivikramji, K. P.
    MODELING EARTH SYSTEMS AND ENVIRONMENT, 2019, 5 (04) : 1333 - 1345
  • [25] Rapid assessment of the October 2020 Hyderabad urban flood and risk analysis using geospatial data
    Rangari, Vinay Ashok
    Bhatt, C. M.
    Umamahesh, N., V
    CURRENT SCIENCE, 2021, 120 (12): : 1840 - 1847
  • [26] APPROPRIATE FLOOD RISK ASSESSMENT TOOLS FOR PREDICTING FLOOD INUNDATION EXTENT AND ASSESSING FLOOD HAZARD RISK FOR FLASH FLOOD EVENTS
    Kvocka, Davor
    Falconer, Roger A.
    Bray, Michaela
    PROCEEDINGS OF THE 36TH IAHR WORLD CONGRESS: DELTAS OF THE FUTURE AND WHAT HAPPENS UPSTREAM, 2015, : 5001 - 5013
  • [27] Rainstorm flash flood risk assessment using genetic programming: a case study of risk zoning in Beijing
    HaiBo Hu
    Natural Hazards, 2016, 83 : 485 - 500
  • [28] Rainstorm flash flood risk assessment using genetic programming: a case study of risk zoning in Beijing
    Hu, HaiBo
    NATURAL HAZARDS, 2016, 83 (01) : 485 - 500
  • [29] An effective geospatial-based flash flood susceptibility assessment with hydrogeomorphic responses on groundwater recharge
    Das, Sumit
    GROUNDWATER FOR SUSTAINABLE DEVELOPMENT, 2024, 25
  • [30] An effective geospatial-based flash flood susceptibility assessment with hydrogeomorphic responses on groundwater recharge
    Tariq, Aqil
    Beni, Leila Hashemi
    Ali, Shoaib
    Adnan, Shahzada
    Hatamleh, Wesam Atef
    GROUNDWATER FOR SUSTAINABLE DEVELOPMENT, 2023, 23