Determination of Flood Hazard Zones Using Geographical Information Systems and Remote Sensing Techniques: A Case Study in Part Yenagoa Metropolis

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Eteh Desmond
Francis Emeka Egobueze
Francis Omonefe


Flood has been a serious hazard for the past decades in Nigeria at large. The incidence of 2012 and 2018 flood disaster in Yenagoa, Amassoma and other parts of the state have not been recover till date and the government is not consigned about the well been of the people. The major causes of the flood are attributed to increased rainfall and lack of drainages including dredging of rivers and disobeying of environmental law and infrastructure failure. Coastal Towns or communities are one of the most affected areas of flood and their farms and fishing implements were washed away by the floodwater in 2012 and 2018 in Bayelsa State. Flood management is needed for provision of time information so quick response can be done as soon as possible. Using SRTM data to produce digital elevation model and IDW Contour, the 3D model from ground data of Yenagoa metropolis using ArcGIS 10.6 to generate and analyze them. As a result of field survey, flood level calculation was made to classified flood hazard zones for migration, Agricultural Educational, and construction purpose such as land suitability. This was used in ascertaining the extent of the flooded area. The result reveals that an area of over 5.9888882km2 and riverine and coastal area is flooded, affecting more than 15 coastal and riverine communities. The finding also concludes that remote sensing data like SRTM data and Geospatial techniques seems effective in mapping and identifying areas prone to flooding. Therefore Remote sensing and Geospatial database should be established for proper flood mapping and the government should constantly dredge the area from time to time. 

Flood hazard zone, SRTM, disaster, IDW, remote sensing, GIS

Article Details

How to Cite
Desmond, E., Egobueze, F., & Omonefe, F. (2019). Determination of Flood Hazard Zones Using Geographical Information Systems and Remote Sensing Techniques: A Case Study in Part Yenagoa Metropolis. Journal of Geography, Environment and Earth Science International, 21(1), 1-9.
Original Research Article


Anyanwu AJ. Assessment of flood vulnerability of Abia State, using GIS. Unpublished Masters Degree dissertation. Department of Geography and National Resources Management. University of Uyo. 2015;1-132.

Venkata BG, Rajiv S. GIS in flood hazard mapping: A case study of kosi River Basin, India, Conference Proceedings of Map Middle East, UAE; 2005.

Human development report, Published for the United Nations Development Programme (UNDP) New York Oxford Oxford University Press; 1991.

Usoro UE. Assessment and Mitigation Strategies of Flood Risk. IN Akwa Ibom State A Geographical Perspective. Enugu: London; 2004.

Thilagavathi G, Tamilenthi S, Ramu C, Baskaran R. Application of GIS in flood hazard zonation studies in Panamas Taluk, Thanjavur District, Tamilnadu. India; 2011.

Mayer DG, Belward JA, Burrage K. Tabu search not an optimal choice for models of agricultural systems. Agricultural Systems. 1998;58(2):243-251.

Guarin PG, Westen CJ, Montoya L. Community-based flood risk assessment using GIS for the Town of San Sebastian, Guatemala. Enschede: Netherlands; 2004.

Reyment RA. Ammonitologist sensu latissimo and founder of Cretaceous Research Bengtson, P. Cretaceous Research-1926-2016. 2018;88:5-35.

Reijers T. Stratigraphy and sedimentology of the Niger Delta. Geologos. 2011; 17(3):133-162.

United Nations (UN). Guidelines on participatory planning and management flood mitigation and preparedness, ix1295: ill, water resources series 0082-8130,(82), United Nations, New York; 2003.