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Jun 11, 2018
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Jun 11, 2018
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Abstract

This study aims at evaluating selected environmental attributes of urban development pathways in relation to their impacts on increasing cyclone-related flooding in the Governorate of Muscat for the years 2007, 2010, 2013, and 2015. A probability-weighted flood hazard map for the 2015 urban areas was produced by combining all selected environmental attributes into one probability equation, with each attribute given a weight. The 2015 urban flood hazard map showed that 31.7 km² (8.1% of total urban areas) of the built up area is located in the very high flooding hazard zone, 88.3 km² (22.6% of urban area) is located in the high flood hazard zone, 130.5 km² (33.5% of urban area) is located in the medium flooding hazard zone, and 113.4 km² (29.1% of urban area) and 26.1 km² (6.7% of urban area) located in the low and very low flooding hazard zones. The outputs from this research emphasize the potential of environmental forces to increase flood damages. The findings provide decision makers with spatially-explicit evidences on affected areas for more effective evacuation and rescue plans.

Keywords

cyclone-related flooding flood hazard analysis GIS Muscat remote sensing urban flooding

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References

  1. Al-Hatrushi, Salim and Al-Alawi, Haitha. 2012. «Evaluating
  2. the Impact of Flood Hazard Caused by Tropical Cyclones
  3. on Land Use Using Remote Sensing and GIS in Wadi Uday:
  4. Sultanate of Oman «Sultan Qaboos University. Muscat,
  5. Sultanate of Oman.
  6. Azaz, Lotfy Kamal. 2010. «Using remote sensing and GIS
  7. for damage assessment after flooding, the case of Muscat,
  8. Oman after Gonu tropical cyclone 2007: Urban planning
  9. perspective « , Real Corp, Vienna, 1820- May 2010.
  10. Bryant, Edward. 1991. Natural Hazards. New York:
  11. Cambridge Press.
  12. Elsheikh, R., Ouerghi, S., & Elhaq, A. 2015. Flood Risk
  13. Based on GIS, and Multi Criteria Techniques (Case Study
  14. Terengganu Malaysia). Journal of Geographic Information
  15. System, 7, pp: 348357-.
  16. -Hallegatte, S., Green, C., Nicholls, R., and Corfee-Morlot, J.
  17. (2013). “Future flood losses in major coastal cities.” Nature
  18. Climate Change, 3, pp: 802806-.
  19. -Kazakis, Kougias, and Patsialis. 2015. “Assessment of
  20. flood hazard areas at a regional scale using an index-based
  21. approach and analytical hierarchy process: Application
  22. in Rhodope-Evros region, Greece.”Science of the Total
  23. Environment, 538, pp: 555563-.
  24. McGranahan,G., Balk, D., & Anderson, B. 2007. The rising
  25. tide: Assessing the risks of climate change and human
  26. settlements in low elevation coastal zones. Environmnet &
  27. Urbanization, 19 (1): pp 1737-.
  28. Ogbonna, C., Ike, F., Okwu-Delunzu, v. 2015. Spatial
  29. Assessment of Flood Vulnerability in Aba Urban Using
  30. Geographic Information System Technology and Rainfall
  31. Information. International Journal of Geosciences, 6, 191-
  33. Sanyal, J., & Lu, X. 2006. GIS-based hazard mapping at
  34. different administrative scales: A case study in Gangetic
  35. West Bengal, India. Singapora Journal of Tropical Geography,
  36. (2), pp: 207220-.
  37. Small, Ch., & Nicholls, R. 2003. A Global Analysis of Human
  38. settlement in Coastal Zones. Journal of Coastal Research.
  39. Vol 19. No 3. Pp584599-.
  40. Storm Prediction Center. 2014, Norman, Oklahoma: www.
  41. spc.noaa.gov.