Research Article
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Year 2023, , 90 - 99, 19.03.2023
https://doi.org/10.30897/ijegeo.1073697

Abstract

References

  • Moazzam, M.F., Vansarochana, A., and Rahman, A. (2018). Analysis of flood susceptibility and zonation for risk management using frequency ratio model in District Charsadda, Pakistan. International Journal of Environment and Geoinformatics (IJEGEO), 5(2), 140-153
  • Adeleye, A.J. and Rustum, R. (2011) Flooding and Influence of Urban Planning in Lagos Nigeria. Journal of Urban Design and Planning, 164, 175-187.
  • Herath, S. (2003). Flood damage estimation of in an urban catchment in Chuba prefecture Japanprefecture using remote sensing and GIS. UnitedNations International training program on total disaster risk management.
  • Hewitt, K., Burton, I., (1971). The hazardousness of aplace: A regional geology of damaging events,University of Toronto, Department of GeographyResearch Publication, 5, pp 154-155.
  • ICPR (International Commission for the Protection ofthe Rhine) (2002). Non-structural flood plainmanagement—measures and their effectiveness,report. Koblenz, Germany
  • Ifatimehin, A. (2009). Mapping flood vulnerable areasin developing urban centers of Nigeria. Journal ofSustainable Development in Africa., 11(4).
  • Ifatimehin, A., Ufuah, M.E. (2006). Analysis of urbanexpansion and loss of vegetation in Lokoja usingGIS techniques. Zaria Geographers, 17(1): 28-36.
  • Izinyon, O.C., Ehiorobo, J.O. (2011). Measurementand documentation for flood and erosionmonitoring and control erosion in Niger Deltaregion of Nigeria. Journal of Emerging Trends inEngineering and Applied Sciences, 3, 1-14.
  • Mngutyo, I.D., Ogwuche, J.A. (2013). Urbandevelopment, flood, and disaster management:challenges of contemporary urban planningperspectives. International Journal of InnovativeEnvironmental Studies Research, 1 (1), 1–6.
  • Moazzam, M.F., Vansarochana, A., Rahman, A.(2018). Analysis of flood susceptibility andzonation for risk management using frequency ratiomodel in District Charsadda, Pakistan. InternationalJournal of Environment and Geoinformatics(IJEGEO), 5(2), 140-153
  • Muhammad I., Iyortim O.S. (2013). Application ofremote sensing (RS) and Geographic InformationSystems (GIS) in flood vulnerability mapping: casestudy of River Kaduna. International Journal ofGeomatics and Geosciences, 3(3), 618-627
  • Ouma, Y., Tateishi, R. (2014). Urban flood vulnerability and risk mapping using integrated multi-parametric AHP and GIS: methodological overview and case study assessment. Water, 6(6), 1515–1545.
  • Saaty, T.L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1, 83–98.
  • Shantosh, K., Madan, K., Ananta, M.S., Sunil, T., Arbindra, S., Mukesh, B. (2011). GIS based flood hazard mapping and vulnerability assessment of people in Kankai (East Nepal, Pakistan) due to climate change. Understanding Climate Change Impact in Nepal, 95-107
  • Wondim, Y.K., (2016). Flood hazard and risk assessment using GIS and remote sensing in Lower Awash Sub-basin. Ethiopia. Journal of Environment and Earth Science, 6 (9), 69–86.

Application of Remote Sensing and Geographical Information System (GIS) in Flood Vulnerability Mapping: A Scenario of Akure South, Nigeria

Year 2023, , 90 - 99, 19.03.2023
https://doi.org/10.30897/ijegeo.1073697

Abstract

In flooding, dry land capable of residential, agricultural, and other economic activities is submerged by overflowing water. This causes loss of lives, properties, and destruction of infrastructure. This study applies remote sensing and GIS techniques to produce a flood vulnerability map of the Akure South metropolis. For this study, satellite image data (Landsat 8), location map of Akure South metropolis, SRTM DEM, rainfall data, soil data, and GPS coordinates; acquired during the field survey were integrated to map areas vulnerable to flooding. Using Pairwise Comparison, the various weights of factors constituting flood in the area were acquired. A weighted linear combination and analytical hierarchical process were used to produce the flood hazard and flood vulnerability map. ArcGIS Pro 2.7.3 software was used in spatial and attribute data acquisition, processing, and information presentation. The flood vulnerability results indicated that the very high vulnerability zone occupied 13.9% of the study area, while high vulnerability zone occupied 25.5%. Moderate vulnerability zone occupied 36.8% while low vulnerability zone occupied 23.8% of the study area. The study shows that, remote sensing and GIS can be effectively implemented to analyse and provide results on flood vulnerability required for prompt and effective decision-making on floods.

References

  • Moazzam, M.F., Vansarochana, A., and Rahman, A. (2018). Analysis of flood susceptibility and zonation for risk management using frequency ratio model in District Charsadda, Pakistan. International Journal of Environment and Geoinformatics (IJEGEO), 5(2), 140-153
  • Adeleye, A.J. and Rustum, R. (2011) Flooding and Influence of Urban Planning in Lagos Nigeria. Journal of Urban Design and Planning, 164, 175-187.
  • Herath, S. (2003). Flood damage estimation of in an urban catchment in Chuba prefecture Japanprefecture using remote sensing and GIS. UnitedNations International training program on total disaster risk management.
  • Hewitt, K., Burton, I., (1971). The hazardousness of aplace: A regional geology of damaging events,University of Toronto, Department of GeographyResearch Publication, 5, pp 154-155.
  • ICPR (International Commission for the Protection ofthe Rhine) (2002). Non-structural flood plainmanagement—measures and their effectiveness,report. Koblenz, Germany
  • Ifatimehin, A. (2009). Mapping flood vulnerable areasin developing urban centers of Nigeria. Journal ofSustainable Development in Africa., 11(4).
  • Ifatimehin, A., Ufuah, M.E. (2006). Analysis of urbanexpansion and loss of vegetation in Lokoja usingGIS techniques. Zaria Geographers, 17(1): 28-36.
  • Izinyon, O.C., Ehiorobo, J.O. (2011). Measurementand documentation for flood and erosionmonitoring and control erosion in Niger Deltaregion of Nigeria. Journal of Emerging Trends inEngineering and Applied Sciences, 3, 1-14.
  • Mngutyo, I.D., Ogwuche, J.A. (2013). Urbandevelopment, flood, and disaster management:challenges of contemporary urban planningperspectives. International Journal of InnovativeEnvironmental Studies Research, 1 (1), 1–6.
  • Moazzam, M.F., Vansarochana, A., Rahman, A.(2018). Analysis of flood susceptibility andzonation for risk management using frequency ratiomodel in District Charsadda, Pakistan. InternationalJournal of Environment and Geoinformatics(IJEGEO), 5(2), 140-153
  • Muhammad I., Iyortim O.S. (2013). Application ofremote sensing (RS) and Geographic InformationSystems (GIS) in flood vulnerability mapping: casestudy of River Kaduna. International Journal ofGeomatics and Geosciences, 3(3), 618-627
  • Ouma, Y., Tateishi, R. (2014). Urban flood vulnerability and risk mapping using integrated multi-parametric AHP and GIS: methodological overview and case study assessment. Water, 6(6), 1515–1545.
  • Saaty, T.L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1, 83–98.
  • Shantosh, K., Madan, K., Ananta, M.S., Sunil, T., Arbindra, S., Mukesh, B. (2011). GIS based flood hazard mapping and vulnerability assessment of people in Kankai (East Nepal, Pakistan) due to climate change. Understanding Climate Change Impact in Nepal, 95-107
  • Wondim, Y.K., (2016). Flood hazard and risk assessment using GIS and remote sensing in Lower Awash Sub-basin. Ethiopia. Journal of Environment and Earth Science, 6 (9), 69–86.
There are 15 citations in total.

Details

Primary Language English
Subjects Photogrammetry and Remote Sensing
Journal Section Research Articles
Authors

Ibrahim Olatunji Raufu 0000-0003-3474-8618

Ibrahim Mukaila 0000-0003-3883-4812

Kafayat Olaniyan 0000-0001-9166-167X

Zachariah Awodele This is me 0000-0002-6447-2301

Publication Date March 19, 2023
Published in Issue Year 2023

Cite

APA Raufu, I. O., Mukaila, I., Olaniyan, K., Awodele, Z. (2023). Application of Remote Sensing and Geographical Information System (GIS) in Flood Vulnerability Mapping: A Scenario of Akure South, Nigeria. International Journal of Environment and Geoinformatics, 10(1), 90-99. https://doi.org/10.30897/ijegeo.1073697