IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i23p16270-d994811.html
   My bibliography  Save this article

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

Author

Listed:
  • Alaa Ahmed

    (Geosciences Department, United Arab Emirates University, Al Ai 15551, United Arab Emirates
    National Water and Energy Center, United Arab Emirates University, Al Ain 15551, United Arab Emirates
    Geology Department, Division of Water Resource, Desert Research Center, Mathaf El Matariya Street, Cairo 11753, Egypt
    Department of Geology, United Arab Emirates University, Al Ain 15551, United Arab Emirates)

  • Abdullah Alrajhi

    (King Abdulaziz City for Science and Technology, King Abdullah Road, Riyadh 11442, Saudi Arabia)

  • Abdulaziz Alquwaizany

    (King Abdulaziz City for Science and Technology, King Abdullah Road, Riyadh 11442, Saudi Arabia)

  • Ali Al Maliki

    (Environment and Water Directorate, Ministry of Science and Technology, Baghdad 765, Iraq)

  • Guna Hewa

    (Centre for Scarce Resources and Circular Economy (ScaRCE), UniSA STEM, University of South Australia, Mawson Lakes, Adelaide, SA 5095, Australia)

Abstract

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.

Suggested Citation

  • Alaa Ahmed & Abdullah Alrajhi & Abdulaziz Alquwaizany & Ali Al Maliki & Guna Hewa, 2022. "Flood Susceptibility Mapping Using Watershed Geomorphic Data in the Onkaparinga Basin, South Australia," Sustainability, MDPI, vol. 14(23), pages 1-23, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16270-:d:994811
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/23/16270/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/23/16270/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Haynes, Katharine & Coates, Lucinda & van den Honert, Rob & Gissing, Andrew & Bird, Deanne & Dimer de Oliveira, Felipe & D’Arcy, Rebecca & Smith, Chloe & Radford, Deirdre, 2017. "Exploring the circumstances surrounding flood fatalities in Australia—1900–2015 and the implications for policy and practice," Environmental Science & Policy, Elsevier, vol. 76(C), pages 165-176.
    2. Subhankar Chakraborty & Sutapa Mukhopadhyay, 2019. "Assessing flood risk using analytical hierarchy process (AHP) and geographical information system (GIS): application in Coochbehar district of West Bengal, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(1), pages 247-274, October.
    3. Martin Kabenge & Joshua Elaru & Hongtao Wang & Fengting Li, 2017. "Characterizing flood hazard risk in data-scarce areas, using a remote sensing and GIS-based flood hazard index," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(3), pages 1369-1387, December.
    4. Alaa Ahmed & Guna Hewa & Abdullah Alrajhi, 2021. "Flood susceptibility mapping using a geomorphometric approach in South Australian basins," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(1), pages 629-653, March.
    5. Abhishek Ghosh & Shyamal Kumar Kar, 2018. "Correction to: Application of analytical hierarchy process (AHP) for flood risk assessment: a case study in Malda district of West Bengal, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(1), pages 369-369, October.
    6. Abhishek Ghosh & Shyamal Kumar Kar, 2018. "Application of analytical hierarchy process (AHP) for flood risk assessment: a case study in Malda district of West Bengal, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(1), pages 349-368, October.
    7. S. Jonkman, 2005. "Global Perspectives on Loss of Human Life Caused by Floods," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 34(2), pages 151-175, February.
    8. V. Markantonis & V. Meyer & N. Lienhoop, 2013. "Evaluation of the environmental impacts of extreme floods in the Evros River basin using Contingent Valuation Method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(3), pages 1535-1549, December.
    9. Soha A. Mohamed & Mohamed E. El-Raey, 2020. "Vulnerability assessment for flash floods using GIS spatial modeling and remotely sensed data in El-Arish City, North Sinai, Egypt," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(2), pages 707-728, June.
    10. Fiona Johnson & Christopher J. White & Albert Dijk & Marie Ekstrom & Jason P. Evans & Dörte Jakob & Anthony S. Kiem & Michael Leonard & Alexandra Rouillard & Seth Westra, 2016. "Natural hazards in Australia: floods," Climatic Change, Springer, vol. 139(1), pages 21-35, November.
    11. Omvir Singh & Dinesh Kumar, 2019. "Evaluating the influence of watershed characteristics on flood vulnerability of Markanda River basin in north-west India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 96(1), pages 247-268, March.
    12. Sachchidanand Singh & Pankaj R. Dhote & Praveen K. Thakur & Arpit Chouksey & S. P. Aggarwal, 2021. "Identification of flash-floods-prone river reaches in Beas river basin using GIS-based multi-criteria technique: validation using field and satellite observations," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(3), pages 2431-2453, February.
    13. Mohammed Sarfaraz Gani Adnan & Ashraf Dewan & Khatun E. Zannat & Abu Yousuf Md Abdullah, 2019. "The use of watershed geomorphic data in flash flood susceptibility zoning: a case study of the Karnaphuli and Sangu river basins of Bangladesh," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(1), pages 425-448, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mustafa El-Rawy & Wael M. Elsadek & Florimond Smedt, 2023. "Flood hazard assessment and mitigation using a multi-criteria approach in the Sinai Peninsula, Egypt," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(1), pages 215-236, January.
    2. Muhammad Atiq Ur Rehman Tariq & Cheuk Yin Wai & Nitin Muttil, 2020. "Vulnerability Assessment of Ubiquitous Cities Using the Analytic Hierarchy Process," Future Internet, MDPI, vol. 12(12), pages 1-21, December.
    3. Alaa Ahmed & Guna Hewa & Abdullah Alrajhi, 2021. "Flood susceptibility mapping using a geomorphometric approach in South Australian basins," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(1), pages 629-653, March.
    4. Susmita Ghosh & Md. Mofizul Hoque & Aznarul Islam & Suman Deb Barman & Sadik Mahammad & Abdur Rahman & Nishith Kumar Maji, 2023. "Characterizing floods and reviewing flood management strategies for better community resilience in a tropical river basin, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(2), pages 1799-1832, January.
    5. Hossain, Mohammad Khalid & Meng, Qingmin, 2020. "A fine-scale spatial analytics of the assessment and mapping of buildings and population at different risk levels of urban flood," Land Use Policy, Elsevier, vol. 99(C).
    6. Subhankar Chakraborty & Sutapa Mukhopadhyay, 2019. "Assessing flood risk using analytical hierarchy process (AHP) and geographical information system (GIS): application in Coochbehar district of West Bengal, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(1), pages 247-274, October.
    7. Pranay Paul & Rumki Sarkar, 2022. "Flood susceptible surface detection using geospatial multi-criteria framework for management practices," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 3015-3041, December.
    8. Mostafa Dastorani, 2022. "Application of fuzzy-AHP method for desertification assessment in Sabzevar area of Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(1), pages 187-205, May.
    9. Suddhasil Bose & Subhra Halder, 2023. "Identification of crop suitable land using geospatial techniques and assessment with socio-economic factors—case study from India," Asia-Pacific Journal of Regional Science, Springer, vol. 7(1), pages 229-253, March.
    10. Zhihui Li & Keyu Song & Lu Peng, 2021. "Flood Risk Assessment under Land Use and Climate Change in Wuhan City of the Yangtze River Basin, China," Land, MDPI, vol. 10(8), pages 1-16, August.
    11. Weiwei Xie & Qingmin Meng, 2023. "An Integrated PCA–AHP Method to Assess Urban Social Vulnerability to Sea Level Rise Risks in Tampa, Florida," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    12. Cavalieri, Francesco & Franchin, Paolo & Giovinazzi, Sonia, 2023. "Multi-hazard assessment of increased flooding hazard due to earthquake-induced damage to the natural drainage system," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    13. Rakhi Das & Gopa Samanta, 2023. "Impact of floods and river-bank erosion on the riverine people in Manikchak Block of Malda District, West Bengal," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(11), pages 13595-13617, November.
    14. Fatemeh Rezaie & Mahdi Panahi & Sayed M. Bateni & Changhyun Jun & Christopher M. U. Neale & Saro Lee, 2022. "Novel hybrid models by coupling support vector regression (SVR) with meta-heuristic algorithms (WOA and GWO) for flood susceptibility mapping," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(2), pages 1247-1283, November.
    15. Yesen Liu & Yaohuan Huang & Jinhong Wan & Zhenshan Yang & Xiaolei Zhang, 2020. "Analysis of Human Activity Impact on Flash Floods in China from 1950 to 2015," Sustainability, MDPI, vol. 13(1), pages 1-12, December.
    16. Irem Sahmutoglu & Alev Taskin & Ertugrul Ayyildiz, 2023. "Assembly area risk assessment methodology for post-flood evacuation by integrated neutrosophic AHP-CODAS," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(1), pages 1071-1103, March.
    17. Ming Zhong & Jiao Wang & Liang Gao & Kairong Lin & Yang Hong, 2019. "Fuzzy Risk Assessment of Flash Floods Using a Cloud-Based Information Diffusion Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(7), pages 2537-2553, May.
    18. Haiyue Lu & Xiaoping Rui & Gadisa Fayera Gemechu & Runkui Li, 2022. "Quantitative Evaluation of Psychological Tolerance under the Haze: A Case Study of Typical Provinces and Cities in China with Severe Haze," IJERPH, MDPI, vol. 19(11), pages 1-23, May.
    19. Mustapha Ikirri & Farid Faik & Fatima Zahra Echogdali & Isabel Margarida Horta Ribeiro Antunes & Mohamed Abioui & Kamal Abdelrahman & Mohammed S. Fnais & Abderrahmane Wanaim & Mouna Id-Belqas & Said B, 2022. "Flood Hazard Index Application in Arid Catchments: Case of the Taguenit Wadi Watershed, Lakhssas, Morocco," Land, MDPI, vol. 11(8), pages 1-20, July.
    20. Sadhan Malik & Subodh Chandra Pal & Alireza Arabameri & Indrajit Chowdhuri & Asish Saha & Rabin Chakrabortty & Paramita Roy & Biswajit Das, 2021. "GIS-based statistical model for the prediction of flood hazard susceptibility," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16713-16743, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16270-:d:994811. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.