The frequency and consequences of extreme flood events have increased in recent times, having huge impact on the socio-economic well-being of nations with the most significant impact being felt at the community level. Flooding is the most common environmental hazard in Nigeria, particularly Lokoja, with the frequency, intensity, and extent likely to increase due to the effects of global warming leading to climate change such as sea level rise, more intensive precipitation levels, and higher river discharges. While destructive impacts of flood events continue to increase, flood managers in Nigeria have continued to implement a top-down approach towards mitigating these impacts, without involving affected communities in planning and implementation of mitigation strategies. This study therefore employed a participatory approach to determine the causes and impact of flooding in the study area. Participatory research tools such as key informant interviews, focus group discussions, and questionnaire surveys using the purposive sampling method were deployed to elicit data on the perception of the communities about the causes and impact of flood events. Descriptive statistical analysis was performed to elucidate the major causes and areas of impact while qualitative analysis was carried out to corroborate the results and to make for a robust outcome. The Chi Square Test analysis was performed to empirically establish a relationship between the impacts and flooding. Results show that major causes of flooding are the release of water from dams (83% in Adankolo, 97% in Gadumo, and 100% in Ganaja), overflow of rivers, and heavy rainfall while flooding affects economic concerns, property and basic amenities. The Chi Square Test analysis determined empirically that a relationship exists between several areas of impact and flood occurrence. The research concludes that participatory flood research approach can provide flood managers and decision makers a bottom-up approach for effective and robust flood mitigation strategies.
References
[1]
Adefisan, E. A., & Egiku, J. (2018). Vulnerability Assessment of 2015 Flood in North Central Nigeria Using Integrated Approach of Hydrological Model and GIS. Global Scientific Journal, 6, 262-275.
[2]
Adefisan, E. A., Abdulkareem, S. B., & Orimoloye, I. R. (2015). Application of Geospatial Technology in Identifying Areas Vulnerable to Flooding in Ibadan Metropolis. Journal of Environment and Earth Sciences, 5, 156-165.
[3]
Alabi, M. O. (2009). Urban Sprawl, Pattern, and Measurement in Lokoja, Nigeria. Theoretical and Empirical Researches in Urban Management, 4, 158-164.
[4]
Audu, S. M. (2009). A Reflection on the Nature of Inter-Group Relations in Lokoja, Nigeria. Journal of Sustainable Development in Africa, 11, 325-333.
[5]
Buba, F. N. (2016). Analysis of the Spatial Distribution of Lead Concentration in the Soil of Anka, Zamfara State, Nigeria. Journal of Environment Pollution and Human Health, 4, 16-23.
[6]
Cinderby, S., & Forrester, J. M. (2016). Co-Designing Possible Flooding Solutions: Participatory Mapping Methods to Identify Flood Management Options from a UK Borders Case Study. Journal for Geographic Information Science, 1, 149-156.
https://doi.org/10.1553/giscience2016_01_s149
[7]
Demeritt, D., & Nobert, S. (2014). Models of Best Practice in Flood Risk Communication and Management. Journal of Environmental Hazards, 13, 313-328.
https://doi.org/10.1080/17477891.2014.924897
[8]
Development Studies Network (2013). Challenges for Participatory Development in Contemporary Development Practice. Development Bulletin No. 75.
[9]
FGN Federal Government of Nigeria (2013). Nigeria Post-Disaster Needs Assessment: 2012 Floods. A Report by the FGN with Technical Support from the World Bank, European Union, United Nations, and Other Partners.
[10]
Hu, X., Pant, R., Hall, J. W., Surminski, S., & Huang, J. (2019). Multi-Scale Assessment of the Economic Impacts of Flooding: Evidence from Firm to Macro-Level Analysis in the Chinese Manufacturing Sector. Sustainability, 11, 1-18.
https://doi.org/10.3390/su11071933
[11]
Iyi, E. A., & Ugwuanyi, B. C. (2014). Community Participation Approach to Flood Disaster Management: The Case of Enugu East Local Government Area of Enugu State, Nigeria. International Journal of Engineering Science Invention, 3, 4-13.
[12]
Kienberger, S., & Steinbruch, S. (2005). PGIS and Disaster Risk Management: Assessing Vulnerability with PGIS Methods-Experiences from Buzi, Mozambique. Mapping for Change: International Conference on Participatory Spatial Information Management and Communication, Nairobi, 7-10 September 2005, 12 p.
[13]
Komolafe, A. A., Adegboyega, S. A., & Akinluyi, F. O. (2015). A Review of Flood Risk Analysis in Nigeria. American Journal of Environmental Science, 11, 157-166.
https://doi.org/10.3844/ajessp.2015.157.166
[14]
Kundu, A., & Kundu, S. (2011). Flood Vulnerability Assessment Using PGIS Approach. Journal of Remote Sensing and GIS, 2, 8-22.
[15]
Maferetlhane, I. O. (2012). The Role of Indigenous Knowledge in Disaster Risk Reduction: A Critical Analysis. Unpublished Master’s Thesis, Potchefstroom: North West University.
[16]
Maskrey, A. S., Mount J. N., Thorne, R. C., & Dryden, I. L. (2016).Participatory Modeling for Stakeholder Involvement in the Development of Flood Risk Management Intervention Options. Environmental Modeling and Software, 82, 275-294.
https://doi.org/10.1016/j.envsoft.2016.04.027
[17]
Nharo, T. (2016). Modeling Floods in the Middle Zambezi Basin Using Remote Sensing and Hydrological Modeling Techniques. Master of Science Thesis, Harare: University of Zimbabwe.
[18]
Nkwunonwo, U. C., Malcolm, N., & Brian, B. (2015). Flooding and Flood Risk Reduction in Nigeria: Cardinal Gaps. Journal of Geography and Natural Disasters, 5, 136.
[19]
Ojigi, M. L., Abdulkadir, F. I., & Aderoju, M. O. (2013). Geospatial Mapping and Analysis of the 2012 Flood Disaster in Central Parts of Nigeria. 8th National GIS Symposium, Dammam, 15-17 April 2013, 14 p.
[20]
Okpala-Okaka, C., Ndukwu, R. I., & Ebinne, E. S. (2013). Management of Flood Disaster Risks in Nigeria. Journal of Environmental Management and Safety, 4, 6-18.
[21]
Olorunfemi, F. B. (2011). Managing Flood Disasters under a Changing Climate: Lessons Learnt from Nigeria and South Africa. NISER Research Seminar Series, Ibadan, 3 May 2011, 44 p.
[22]
Oluwaseun, O. O., Ibrahim, A. T., Ahmed, I. A., Samsudeen, O. A., & Oladeinde, A. (2013). The Role of Earth Observation Satellites during the International Collaboration on the 2012 Nigeria Flood Disaster. 64th International Astronautical Congress, Beijing, 23-27 September 2013, 8 p.
[23]
Rabalao, R. T. (2010). The Social, Psychological, and Economic Impact of Flooding in Ga-Motla and Ga-Moeka Communities of Moretele District in North West Province, South Africa. Unpublished Master’s Thesis, Bloemfontein: University of the Free State.
[24]
Santato, S., Bander, S., & Schaller, M. (2013). The European Floods Directive and Opportunities Offered by Land Use Planning. CSC Report 12, Hamburg: Climate Service Center Germany.
[25]
Sayama, K., Fukami, K., Tanaka, S., & Takeuchi, K. (2010). Rainfall-Runoff-Inundation Analysis for Flood Risk Assessment at the Regional Scale. International Symposium on a Robust and Resilient Society against Natural Hazards and Environmental Disasters, and the 3rd AUN/SEED-NET Regional Conference on Geo-Disaster Mitigation, Kyoto, August 24-26 2010, 11 p.
[26]
Tawari-Fufeyin, P., Paul, M., & Godleads, A. O. (2015). Some Aspects of a Historic Flooding in Nigeria and Its Effects on Some Niger-Delta Communities. American Journal of Water Resources, 5, 7-16.
[27]
Ugoni, A., & Walker, B. F. (1995). The Chi Square Test: An Introduction. COMSIG Review, 4, 1-5.
[28]
Umaru, J. U., & Hafiz, S. S. (2019). Perceived Effects of Flood on Lives and Properties of the Residents of Lokoja, Kogi State, Nigeria. Discovery, 55, 441-452.
[29]
WMO World Meteorological Organization (2008). Urban Flood Risk Management—A Tool for Integrated Flood Management, Version 1.0. WMO/GWP Associated Programme on Flood Management, 2008: A Joint Initiative of the WMO and the Global Water Partnership. Technical Document No. 11.