Flood Susceptibility Mapping Using Watershed Geomorphic Data in the Onkaparinga Basin, South Australia

被引:4
|
作者
Ahmed, Alaa [1 ,2 ,3 ,4 ]
Alrajhi, Abdullah [5 ]
Alquwaizany, Abdulaziz [5 ]
Al Maliki, Ali [6 ]
Hewa, Guna [7 ]
机构
[1] United Arab Emirates Univ, Geosci Dept, Al Ai 15551, U Arab Emirates
[2] United Arab Emirates Univ, Natl Water & Energy Ctr, Al Ain 15551, U Arab Emirates
[3] Desert Res Ctr, Geol Dept, Div Water Resource, Mathaf El Matariya St, Cairo 11753, Egypt
[4] United Arab Emirates Univ, Dept Geol, Al Ain 15551, U Arab Emirates
[5] King Abdulaziz City Sci & Technol, King Abdullah Rd, Riyadh 11442, Saudi Arabia
[6] Minist Sci & Technol, Environm & Water Directorate, Baghdad 765, Iraq
[7] Univ South Australia, Ctr Scarce Resources & Circular Econ ScaRCE, UniSA STEM, Adelaide, SA 5095, Australia
关键词
flood; susceptibility; morphometric analysis; GIS; Onkaparinga; South Australia; HIERARCHY PROCESS AHP; FLASH-FLOOD; MORPHOMETRIC-ANALYSIS; RIVER-BASIN; WEST-BENGAL; RISK; FATALITIES; GROUNDWATER; HYDROLOGY; DISTRICT;
D O I
10.3390/su142316270
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the near future, natural disasters and associated risks are expected to increase, mainly because of the impact of climate change. Australia is considered one of the most vulnerable areas for natural disasters, including flooding. Therefore, an evaluation of the morphometric characteristics of the Onkaparinga basin in South Australia was undertaken using the integration of remote sensing and geospatial techniques to identify its impact on flash floods. The Shuttle Radar Topography Mission (SRTM) and Landsat images with other available geologic, topographic, and secondary data were analysed in geographic information system (GIS) to outline the drainage basins, estimate the morphometric parameters, and rank the parameters to demarcate the flash flood susceptibility zones of the basin. The main goal was to develop a flash flood susceptibility map showing the different hazard zones within the study areas. The results showed that 10.87%, 24.27%, and 64.85% are classified as low, moderate, and highly susceptible for flooding, respectively. These findings were then verified against secondary data relating to the historic flood events of the area. About 30.77% of the historical floods are found located within the high to extremely susceptible zones. Moreover, a significant correlation has been found between the high precipitation concentration index (PCI) and the irregular rainfall and high potential for flooding. Finally, the social and economic vulnerability was applied to determine the impact of the flood hazards. The result indicates a widespread threat to the economy, environment, and community in the study area. This study can be utilized to support and assist decision makers with planning and the devotion of alleviation measures to reducing and avoiding catastrophic flooding events, especially in highly susceptible areas in the world, such as South Australian basins.
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页数:23
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