Abstract

  Floods are a major risk in many parts of the world, leading to many risks to life in different fields. The use of modern technologies such as Geographical information system (GIS) reduces the harmful effects of these floods and manages the flood disaster. With the technological development of this age, the use of these techniques is becoming available, as using geographic information systems leads to positive results in managing flood crisis and reducing damage. This study applied Geographical Information System Technology in the spatial analysis of flood risks in Ashareef, East Nile state Sudan using geospatial technologies.

Keywords: Flood Hazards; GIS

References

1. Thilagavathi G., et al. “Application of GIS in Flood Hazard Zonation Studies in Panamas Taluk, Thanjavur District, Tamilnadu India (2011).
2. V Demir. “Mert River (SAMSUN/TURKEY) the Flood Maps Determining the Help of Geographic Information Systems”. Canik Basari University Institute of Natural Sciences, Samsun, Turkey (2015).
3. Daniels T and Daniels K. “The Environmental Planning Handbook for Sustainable Communities and Regions”. Planners Press, Chicago (2003).
4. JJ Wiles and NS Levine. “A combined GIS and HEC model for the analysis of the effect of urbanization on flooding; the Swan Creek watershed, Ohio”. Environmental and Engineering Geoscience1 (2002): 47-61.
5. M Gutry-Korycka., et al. “Numerical Estimation of flood zones in the Vistula River valley, Warsaw, Poland”. In Climate Variability and Change-Hydrological Impacts (2006): 191-195.
6. A Sole., et al. “Risk flood areas, a study case: Basilicata region”. In River Basin Management IV 1 (2007): 213-228.
7. Usoro UE. “Assessment and Mitigation Strategies of Flood Risk”. In Akwa Ibom State A Geographical Perspective. Enugu: London (2004).
8. Wu YE., et al. “Vulnerability of Coastal Communities to Sea Level Rise: A Case Study of Cape May County, New Jersey, USA”. Climate Research, 22 (2002): 255-270.
9. Chapi K., et al. “A novel hybrid artificial intelligence approach for flood susceptibility assessment”. Environmental Modelling and Software 95 (2017): 229-245.
10. Kaur H., et al. “Geospatial modelling of flood susceptibility pattern in a subtropical area of West Bengal, India”. Environmental Earth Sciences 76 (2017): 339.
11. Termeh SVR., et al. “Flood susceptibility mapping using novel ensembles of adaptive neuro fuzzy inference system and metaheuristic algorithms”. Science of the Total Environment 615 (2018): 438-451.
12. Hong H., et al. “Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution”. Science of the Total Environment 621 (2017): 1124-1141.
13. Sanyal J and Lu XX. “Remote Sensing and GIS-Based Flood Vulnerability Assessment of Human Settlements: A case study of Gangetic West Bengal India”. Hydrological Processes (2005): 3699-3716.
14. Venkata B and GRajiv S. “GIS in Flood Hazard Mapping: a case study of kosi River Basin, India”. Conference Proceedings of Map Middle East, UAE (2005).
15. Balogun T and Okoduwa. “Application of GIS in flood Risk Nigeria journal of cartography and GIS mapping. A case study of Benin City” (2000).
16. Migiro Kathy. "Sudan government under fire as flash floods kill 11, displace 100,000". trust.org. Thomson Reuters Foundation (2013).
17. Zhao G., et al. “Mapping flood susceptibility in mountainous areas on a national scale in China”. Science of the Total Environment 615 (2018): 1133-1142.

Citation

Citation: Rifaat Abdalla and Gar Al-nabi Mohamed. “GIS-Based Flood Risk Assessment: A Case Study of Ashareef, East Nile District, Khartoum State, Sudan". Acta Scientific Microbiology 3.12 (2020): .

Copyright

Copyright: © 2020 Rifaat Abdalla and Gar Al-nabi Mohamed. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.