Lagos’ Vulnerability to Flood’s Changes Mapping Adopting Analytical Hierarchy Process Using Geographical Information System

Authors

  • Uwadiegwu Ibeabuchi Faculty of Social Science, University of Lagos, Lagos

DOI:

https://doi.org/10.55324/ijoms.v2i6.411

Keywords:

flood, vulnerability, AHP, GIS, Lagos

Abstract

Flood disaster is considered a major natural hazard plaguing Lagosains due to its devastating effect on affected communities. Analytical Hierarchy Process (AHP) was adopted using Geographical Information System (GIS) to determine areas vulnerable to flood in Lagos for 1984 and 2013. This research considers the contribution of rainfall, elevation, land use, slope and soil to flood. AHP method was applied to these factors by means of ranking and pairwise comparison. This products a relative weight of 34.45% for slope, 19.58% for rainfall, 18.79% for land use, 18.61% for elevation, and 8.57% for soil. The consistency value was found to be reasonable with a consistency index of 0.0738 with a consistency ratio of 7%, these aids in flood vulnerability mapping. This reveals that the impact of flood is high for residential and socio-economic activities in Lagos, thus, this will assist decision makers on the menace posed by the disaster and mitigation measures to adopt.

References

Adeloye, A. J., & Rustum, R. (2011). Lagos (Nigeria) flooding and influence of urban planning. Proceedings of the Institution of Civil Engineers-Urban Design and Planning, 164(3), 175-187. https://doi.org/10.1680/UDAP.1000014

Ahmed, B. (2015). Landslide susceptibility modelling applying user-defined weighting and data-driven statistical techniques in Cox’s Bazar Municipality, Bangladesh. Natural Hazards, 79(3), 1707-1737. https://doi.org/10.1007/s11069-015-1922-4

Rimba, A. B., Setiawati, M. D., Sambah, A. B., & Miura, F. (2017). Physical flood vulnerability mapping applying geospatial techniques in Okazaki City, Aichi Prefecture, Japan. Urban Science, 1(1), 7. https://doi.org/10.3390/urbansci1010007

Bathrellos, G. D., Karymbalis, E., Skilodimou, H. D., Gaki-Papanastassiou, K., & Baltas, E. A. (2016). Urban flood hazard assessment in the basin of Athens Metropolitan city, Greece. Environmental Earth Sciences, 75, 1-14. https://doi.org/10.1007/s12665-015-5157-1

Bathrellos, G. D., Skilodimou, H. D., Chousianitis, K., Youssef, A. M., & Pradhan, B. (2017). Suitability estimation for urban development using multi-hazard assessment map. Science of the total environment, 575, 119-134. https://doi.org/10.1016/j.scitotenv.2016.10.025

Brooks, N. (2003). Vulnerability, risk and adaptation: A conceptual framework. Tyndall Centre for climate change research working paper, 38(38), 1-16.

Crichton, D. (1999). The risk triangle. Natural disaster management, 102(3), 102-103.

Ekrami, M., Marj, A. F., Barkhordari, J., & Dashtakian, K. (2016). Drought vulnerability mapping using AHP method in arid and semiarid areas: a case study for Taft Township, Yazd Province, Iran. Environmental Earth Sciences, 75, 1-13. https://doi.org/10.1007/s12665-016-5822-z

Eludoyin, O. S., & Weli, V. E. (2012). Spatial analysis of flood vulnerability levels in Port Harcourt metropolis using GIS. Journal of Earth Science and Engineering, 2(10), 617.

Nifa, F. A. A., Abbas, S. R., Lin, C. K., & Othman, S. N. (2017, October). Developing a disaster education program for community safety and resilience: The preliminary phase. In AIP Conference Proceedings (Vol. 1891, No. 1, p. 020005). AIP Publishing LLC. https://doi.org/10.1063/1.5005338

Hasekio?ullar?, G. D., & Ercanoglu, M. (2012). A new approach to use AHP in landslide susceptibility mapping: a case study at Yenice (Karabuk, NW Turkey). Natural Hazards, 63, 1157-1179. https://doi.org/10.1007/s11069-012-0218-1

Ibeabuchi, U., Egbu, A. U., & Kalu, O. A. (2018). Coastal megacities: The case of Lagos. International Journal of Research and Innovation in Social Science (IJRISS), II.

Uwadiegwu, I., & Chigozie, N. P. (2020). Mapping Flood High Priority Areas in Southern Nigeria. International Journal of Satellite Communication & Remote Sensing, 6(1), 35-38.

Kayastha, P., Dhital, M. R., & De Smedt, F. (2013). Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: A case study from the Tinau watershed, west Nepal. Computers & Geosciences, 52, 398-408. https://doi.org/10.1016/j.cageo.2012.11.003

Kazakis, N., Kougias, I., & Patsialis, T. (2015). Assessment of flood hazard areas at a regional scale using an index-based approach and Analytical Hierarchy Process: Application in Rhodope–Evros region, Greece. Science of the Total Environment, 538, 555-563. https://doi.org/10.1016/j.scitotenv.2015.08.055

National Bureau of Statistics (NBS). (2012). 2006 Population Census, Official Gazette (FGP71/52007/2500 OL24). Legal note on the publications of the details of breakdown of the National and State Provisional total 2006 census.

Nkwunonwo, U. C., Whitworth, M., & Baily, B. (2015). Relevance of social vulnerability assessment to flood risk reduction in the Lagos metropolis of Nigeria. British Journal of Applied Science & Technology, 8(4), 366-382. <https://doi.org/10.9734/BJAST/2015/17518

Ouma, Y. O., & 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. https://doi.org/10.3390/w6061515>

Olayinka, D. N., & Irivbogbe, H. E. (2017). Flood Vulnerability Mapping of Lagos Island and Eti-Osa Local Government Areas Using a Multi-Criteria Decision Making Approach. Nigerian Journal of Environmental Sciences and Technology (NIJEST) Vol, 1(2), 244-255. https://doi.org/10.36263/NIJEST.2017.02.0011

Poursaber, M. R., & Ariki, Y. (2016). Estimation of tsunami hazard vulnerability factors by Integrating Remote Sensing, GIS and AHP Based Assessment. Open Access Library Journal, 3(4), 1-11. http://dx.doi.org/10.4236/oalib.1102212

Pradhan, B., Shafiee, M., & Pirasteh, S. (2009). Maximum flood prone area mapping using RADARSAT images and GIS: Kelantan river basin. International Journal of Geoinformatics, 5(2).

Rozos, D., Bathrellos, G. D., & Skillodimou, H. D. (2011). Comparison of the implementation of rock engineering system and analytic hierarchy process methods, upon landslide susceptibility mapping, using GIS: a case study from the Eastern Achaia County of Peloponnesus, Greece. Environmental Earth Sciences, 63, 49-63. https://doi.org/10.1007/s12665-010-0687-z

Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of mathematical psychology, 15(3), 234-281. https://doi.org/10.1016/0022-2496(77)90033-5

Saaty, R. W. (1987). The analytic hierarchy process—what it is and how it is used. Mathematical modelling, 9(3-5), 161-176. https://doi.org/10.1016/0270-0255(87)90473-8

Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International journal of services sciences, 1(1), 83-98.

Sambah, A. B., & Miura, F. (2014). Integration of spatial analysis for tsunami inundation and impact assessment. Journal of Geographic Information System, 2014. http://dx.doi.org/10.4236/jgis.2014.61002

Sambah, A. B., & Miura, F. (2014). Remote sensing and spatial multi-criteria analysis for tsunami vulnerability assessment. Disaster Prevention and Management, 23(3), 271-295. https://doi.org/10.1108/DPM-05-2013-0082

Shahabi, H., & Hashim, M. (2015). Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment. Scientific reports, 5(1), 9899. https://doi.org/10.1038/srep09899

Siddayao, G. P., Valdez, S. E., & Fernandez, P. L. (2014). Analytic hierarchy process (AHP) in spatial modeling for floodplain risk assessment. International Journal of Machine Learning and Computing, 4(5), 450. https://doi.org/10.18178/IJMLC

Downloads

Published

2023-03-25

Issue

Vol. 2 No. 6 (2023): Indonesian Journal of Multidisciplinary Science

Section

Articles

License

Copyright (c) 2023 Uwadiegwu Ibeabuchi

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International (CC-BY-SA). that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.