Open Access Open Access  Restricted Access Subscription or Fee Access

Flood Risk Assessment and Disaster Management through Data Applications and Engineering Interventions

Oluwadare Joshua Oyebode, Funmilayo Adeola Oyebode, Bitrus Lynda Elesa

Abstract


Flooding is the most extreme and well-known destructive tournament and has serious implications for sustainable development. The vast majority of disasters in Africa are caused by floods, which are also the most frequent and widespread calamities. This paper x-rays alternative approaches to catastrophe management and flood risk assessment. Various methodologies, literature reviews and advanced techniques such as remote sensing, indicator-based methods, computer-based methods and utilization of geographic information systems (GIS) and other approaches in disaster management and flood risk assessment in Nigeria. Floods result in significant losses to property, infrastructural decadence, and the prevalence of diseases. Lack of sufficient capacity building, good spatial planning, strategic training, inconsistent government policies, and erratic land-use management are major challenges. Flood Risk Index (FRI) is based on meteorological and socioeconomic information. The frequency and severity of natural disasters have sharply increased in recent years, putting large populations at risk in a variety of environments and raising worrisome worries across the globe. Flood risk assessment and disaster management around hydraulic structures such as dams can be achieved through effective inventory, data applications and other engineering interventions. Indicator-based methods; GIS-based spatial planning, Community-Based Disaster Mitigation (CBDM) and land use management strategy are recommended as viable solutions.

Keywords


Data applications, disaster management, dams, hydraulic structures, flood risk assessment

Full Text:

PDF

References


Mishra, K., and Sinha, R. (2020). Flood risk assessment in the Kosi megafan using multi-criteria

decision analysis: A hydro-geomorphic approach. Geomorphology, 350, 106861.

De Risi, R., De Paola, F., Turpie, J., & Kroeger, T. (2018). Life Cycle Cost and Return on

Investment as complementary decision variables for urban flood risk management in developing

countries. International journal of disaster risk reduction, 28, 88–106.

Dutta, D., Herath, S., & Musiake, K. (2006). An application of a flood risk analysis system for

impact analysis of a flood control plan in a river basin. Hydrological Processes: An International

Journal, 20(6), 1365–1384.

Adedeji, O.H., Odufuwa, B.O., and Adebayo, O.H. (2012). Building capabilities for flood disaster

and hazard preparedness and risk reduction in Nigeria: the need for spatial planning and land

management. Journal of sustainable development in Africa, 14(1), 45–58.

Camarasa-Belmonte, A.M., and Soriano-García, J. (2012). Flood risk assessment and mapping in

peri-urban Mediterranean environments using hydrogeomorphology. Application to ephemeral

streams in the Valencia region (eastern Spain). Landscape and Urban Planning, 104(2), 189–200.

Tonn, G.L., and Guikema, S.D. (2018). An agent‐based model of evolving community flood

risk. Risk Analysis, 38(6), 1258–1278.

Uddin, K., Gurung, D.R., Giriraj, A., and Shrestha, B. (2013). Application of remote sensing and

GIS for flood hazard management: a case study from Sindh Province, Pakistan. American Journal

of Geographic Information System, 2(1), 1-5.

Civco, D.L., Hurd, J.D., Wilson, E.H., Song, M., and Zhang, Z. (2002, April). A comparison of

land use and land cover change detection methods. In ASPRS-ACSM Annual Conference (Vol.

, pp. 18–33).

Lyon J.G and Hutchinson W.S. (1995). “Application of a radiometric model for evaluation of

water depths and verification of results with airborne scanner data” Photogrammetric Engineering

and Remote Sensing, 61, 161–166, 1995

Marcus W.A, Legleiter C.J, Aspinall R.J., Boardman J.W and Crabtree R.L, (2003). High spatial

resolution hyperspectral mapping of in-stream habitats, depths, and woody debris in mountain

streams. Geomorphology, 55, 363–380, 2003

Oyebode, O.J. (2021). Hazard assessment and implementation strategies for mitigating of flood

and erosion in Nigeria. In IOP Conference Series: Materials Science and Engineering (Vol. 1036,

No. 1, p. 012066). IOP Publishing.

Oyebode, O.J. (2018a). Impact of environmental laws and regulations on Nigerian

environment. World Journal of Research and Review, 7(3), 262587.

Oyebode, O.J. (2018b). Strategy for tackling flood and water scarcity for adequate water supply

and public health in Nigeria. European Journal of Advances in Engineering and Technology, 5(8),

-664.

Jenkins, S.F., Spence, R.J.S., Fonseca, J.F.B.D., Solidum, R.U., & Wilson, T.M. (2014). Volcanic

risk assessment: Quantifying physical vulnerability in the built environment. Journal of

Volcanology and Geothermal Research, 276, 105–120.

Meng, M., Dabrowski, M., and Stead, D. (2020). Enhancing flood resilience and climate

adaptation: The state of the art and new directions for spatial planning. Sustainability, 12(19),

Ufua, D.E., Salau, O.P., Dada, J.A., & Adeyeye, M.O. (2020). Application of systems approach to

achieving cleaner and sustainable environment: a study of waste dumping issue on Idiroko Road,

Ota, Ogun State, Nigeria. International Journal of Environmental Science and Technology, 17(5),

–2844.

Paul, P., Aithal, P.S., Bhuimali, A., Kalishankar, T., Saavedra M, R., & Aremu, P.S.B. (2020).

Geo information systems and remote sensing: applications in environmental systems and

management. International Journal of Management, Technology, and Social Sciences (IJMTS),

(2), 11-18.

Sun, W., Bocchini, P., & Davison, B.D. (2020). Applications of artificial intelligence for disaster

management. Natural Hazards, 103(3), 2631–2689.


Refbacks

  • There are currently no refbacks.