Flood Risk Assessment for Sustainable Transportation Planning and Development under Climate Change: A GIS-Based Comparative Analysis of CMIP6 Scenarios

被引:1
|
作者
Abuzwidah, Muamer [1 ]
Elawady, Ahmed [1 ]
Ashour, Ayat Gamal [1 ]
Yilmaz, Abdullah Gokhan [2 ]
Shanableh, Abdallah [1 ,3 ]
Zeiada, Waleed [1 ,4 ]
机构
[1] Univ Sharjah, Coll Engn, Civil & Environm Engn Dept, POB 27272, Sharjah, U Arab Emirates
[2] Trobe Univ, Dept Engn, Melbourne, Vic 3086, Australia
[3] Australian Univ, Sci Res Ctr, POB 1411, Kuwait, Kuwait
[4] Mansoura Univ, Dept Publ Works Engn, Mansoura 35516, Egypt
关键词
transportation infrastructure; flood risk assessment; climate change; GIS; climate projections; geography; planning and development; flooding; risk mapping; DECISION;
D O I
10.3390/su16145939
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Climate change is causing a range of environmental impacts, including increased flood frequency and intensity, posing significant risks to human populations and transportation infrastructure. Assessing flood risk under climate change is critical, but it is challenging due to uncertainties associated with climate projections and the need to consider the interactions between different factors that influence flood risk. Geographic Information Systems (GISs) are powerful tools that can be used to assess flood risk under climate change by gathering and integrating a range of data types and sources to create detailed maps of flood-prone areas. The primary goal of this research is to create a comprehensive GIS-based flood risk map that includes various climate change scenarios derived from the Coupled Model Intercomparison Project Phase 6 (CMIP6) models. This goal will leverage the Analytic Hierarchy Process (AHP) methodology to better understand the impacts of these climate change scenarios on the transportation network. Furthermore, this study aims to evaluate the existing flood risk map and assess the potential impacts of prospective climate scenarios on the levels of flood risk. The results showed that the northern and coastal regions of the United Arab Emirates (UAE) are at higher risk of flooding, with the majority of the population living in these areas. The projections for future flood risk levels indicate that under the SSP245 scenario, flood risk levels will generally be low, but some areas in the northern and eastern regions of the UAE may still face high to very high flood risk levels due to extensive urbanization and low-lying coastal regions. Under the SSP585 scenario, flood risk levels are projected to be significantly higher, with a widespread distribution of very high and high flood risk levels across the study area, leading to severe damage to infrastructure, property, and human lives. The recent publication of the CMIP6 models marks a significant advancement, and according to the authors' knowledge, there have been no studies that have yet explored the application of CMIP6 scenarios. Consequently, the insights provided by this study are poised to be exceptionally beneficial to researchers globally, underscoring the urgent necessity for holistic sustainable flood risk management approaches for geography, planning, and development areas. These approaches should integrate both sustainable transportation infrastructure development and risk mitigation strategies to effectively address the anticipated impacts of flooding events within the study region.
引用
收藏
页数:18
相关论文
共 50 条
  • [1] Flood inundation mapping under climate change scenarios: insights from CMIP6
    Sadiqzai, Hazrat Younus
    Khan, Afed Ullah
    Khan, Fayaz Ahmad
    Ullah, Basir
    Khan, Jehanzeb
    WATER PRACTICE AND TECHNOLOGY, 2024, 19 (06) : 2419 - 2441
  • [2] Meteorological flash droughts risk projections based on CMIP6 climate change scenarios
    Sreeparvathy, Vijay
    Srinivas, V. V.
    NPJ CLIMATE AND ATMOSPHERIC SCIENCE, 2022, 5 (01)
  • [3] Meteorological flash droughts risk projections based on CMIP6 climate change scenarios
    Vijay Sreeparvathy
    V. V. Srinivas
    npj Climate and Atmospheric Science, 5
  • [4] Artificial Neural Networks for Flood Prediction in Current and CMIP6 Climate Change Scenarios
    Brandao, Abderraman R. Amorim
    Schwamback, Dimaghi
    de Menezes Filho, Frederico C. M.
    Oliveira, Paulo T. S.
    Fava, Maria Clara
    JOURNAL OF FLOOD RISK MANAGEMENT, 2025, 18 (01):
  • [5] Assessment of climate change impacts on hydrological processes in the Usangu catchment of Tanzania under CMIP6 scenarios
    Mollel, Gift Raphael
    Mulungu, Deogratias M. M.
    Nobert, Joel
    Alexander, Augustina C.
    JOURNAL OF WATER AND CLIMATE CHANGE, 2023, 14 (11) : 4162 - 4182
  • [6] Analysis of climate change scenarios using CMIP6 models in Pernambuco, Brazil
    Araujo, Diego Cezar dos Santos
    Montenegro, Suzana Maria Gico Lima
    da Silva, Samara Fernanda
    de Farias, Vanine Elane Menezes
    Rodrigues, Arivania Bandeira
    REVISTA BRASILEIRA DE CIENCIAS AMBIENTAIS, 2024, 59
  • [7] Analysis of climate change scenarios using CMIP6 models in Pernambuco, Brazil
    Araujo, Diego Cezar dos Santos
    Montenegro, Suzana Maria Gico Lima
    da Silva, Samara Fernanda
    de Farias, Vanine Elane Menezes
    Rodrigues, Arivania Bandeira
    REVISTA BRASILEIRA DE CIENCIAS AMBIENTAIS, 2024, 59
  • [8] Drought characteristics projections based on CMIP6 climate change scenarios in Syria
    Mathbout, Shifa
    Martin-Vide, Javier
    Bustins, Joan Albert Lopez
    JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2023, 50
  • [9] Flood risk assessment methodology for planning under climate change scenarios and the corresponding change in land cover
    Hanif, Asma
    Dhanasekar, Ashwin
    Keene, Anthony
    Li, Huishu
    Carlson, Kenneth
    JOURNAL OF WATER AND CLIMATE CHANGE, 2020, 11 (04) : 1370 - 1382
  • [10] Ensemble Flood Risk Assessment in the Yangtze River Economic Belt under CMIP6 SSP-RCP Scenarios
    Peng, Lu
    Li, Zhihui
    SUSTAINABILITY, 2021, 13 (21)