A Review of Flood Risk Analysis in Nigeria

Komolafe, Akinola Adesuji; Adegboyega, Suleiman Abdul-Azeez; Akinluyi, Francis Omowonuola

doi:10.3844/ajessp.2015.157.166

Cited by 53 publications

(42 citation statements)

References 34 publications

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“…The Moderate resolution Imaging Spectroradiometer (MODIS) data of 2015 and topography map of the area were used in this study [11]. The MODIS imageries served as the primary data used in generating the land use/land cover maps of the study area (Figure 2) based on the widely used maximum likelihood classification scheme.…”

Section: Resultsmentioning

confidence: 99%

Climate Change and Coastal Floods: The Susceptibility of Coastal Areas of Nigeria

Adeyeri¹,

Ishola²,

Ec³

2017

J Coast Zone Manag

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Journal of Coastal Zone Management AbstractThe pressures caused by anthropogenic activities such as housing development and road construction, oil and gas exploration, economic development and demographic changes, have partly fuelled several environmental challenges faced in the coastal areas of Nigeria. One of these challenges is the flood events which have recently caused damage of properties and loss of lives in the areas. This study examines and predicts the susceptibility of the coastal region of Nigeria to flood hazard in a changing climate using geo-spatial techniques. Topographic maps and Moderateresolution imaging spectroradiometer (MODIS) image of 2015 were processed, digitized, interpolated, classified and overlaid using the suitable algorithms. The MODIS imagery was classified into suitable land cover classes using the supervised maximum likelihood scheme. The 3D-analyst module was used to generate the Hydrological Digital Elevation Model (HDEM), Triangulated Irregular Network (TIN), and flood risk map of the study area. The flood risk map was classified into high, medium, low, and no risk zones. Results showed that, areas lying along the banks of Guinea coast are highly susceptible to flood hazards with the degree of susceptibility decreasing towards the North and eastern part of the area. These areas are classified as swamps (water-log) with low water retention which gives rise to high susceptibility of coastal flood hazards. The study discovered that the flood risk map can be used as an effective tool for precautionary measures, early warning systems, and consequently reduce the damages that could be caused by flood events.

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Section: Resultsmentioning

confidence: 99%

Climate Change and Coastal Floods: The Susceptibility of Coastal Areas of Nigeria

Adeyeri¹,

Ishola²,

Ec³

2017

J Coast Zone Manag

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“…In many regions or countries, floods are the most damaging phenomena with adverse impacts on the social, economic and environmental conditions of a given territory (Smith and Ward, 1998). Over the years and in almost every part of the world, excessive rainfalls due to climate change have resulted in flooding, which has claimed several lives and properties (Komolafe et al, 2015a). With the recent projections in the world's urban population from 2.8 billion in 2000 to 5 billion and a triple urban land cover by 2030 (Komolafe et al, 2017;Hoeppe, 2016;Muis et al, 2015;UNISDR, 2013), more people and assets in the coastal and floodplain areas will be more exposed and vulnerable to the risk of flood hazards whenever extreme events occur (Dutta et al, 2013;Herath and Wang, 2009;James and Hall, 1986; 2 Muis et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

An Integrated Approach to Modelling of Flood Hazards in the Rapidly Growing City of Osogbo, Osun State, Nigeria

Adegboyega¹,

Onuoha²,

Adesuji³

et al. 2018

Space Science International

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In recent times, the swift and uncoordinated urban expansion in the medium sized city of Osogbo has increasingly encroached on the environmental sensitive areas. This uncoordinated exploitation of the ecological fragile areas for urban development has triggered urban flooding, which poses serious threat to human lives and properties in the city. This study therefore utilized geospatial technologies to generate flood hazard model for medium sized cities in developing countries in general and Nigeria in particular with a view to identifying hotspots and providing measures to forestall flood occurrences. The study used Shuttle Radar Topography Mission-Digital Elevation Model (SRTM-DEM), Landsat 7-2000 and Operational Land Imager 8 (OLI)-2015 images. Multi-criteria evaluation method was used to derive the physical characteristics of watersheds from the data to delineate the areas vulnerable to flooding. Flood inundation characteristics were simulated using Hydrologic Engineering Centre-River Analysis System (HEC-RAS) model with GIS interface and found discharge of over 500 m 3 /s for the 100-year profile period to be high, given the size of the analyzed basin (207.41 km 2). The flood hazard map showed that 3.92, 103.38 and 100.11 km 2 were least, moderately and highly vulnerable areas respectively. Most prone areas were built-ups with high impervious surface in the basin area where floodplain traversed high and moderate vulnerability zones. The study advocates consistent use of dynamic model within GIS for floodplain delineation and management planning to reduce the flood hazards.

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“…Consequently, with climate change, the number of extreme events and catastrophic impacts in vulnerable regions are expected to increase (Mirza, 2003). In Africa particularly, the need to develop a systematic approach in evaluating preconditions of buildings and how they are impacted by flood hazards has been stressed by stakeholders and researchers (Komolafe et al, 2015). Although, sandcrete block and clay buildings are the most predominant building types in many African countries (Gasparini, 2013), flood damage models remained underdeveloped for such building types (Komolafe et 115 al., 2015).…”

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confidence: 99%

An adaptive regional vulnerability assessment model: Review and concepts for data-scarce regions

Malgwi¹,

Fuchs²,

Keiler³

2019

Preprint

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10Although the vulnerability indicator method has been applied to several data-scarce regions, a missing linkage with damage grades had hindered its application for loss evaluation to complement disaster risk reduction efforts. To address this gap, we present a review of physical vulnerability indicators and flood damage models to gain insights on best practice. Thereafter, we present a conceptual framework for linking the vulnerability indicators and damage grades using three phases (i) developing a vulnerability index, (ii) identifying regional damage grades, and (iii) linking vulnerability index classes with 15 damage grades. The vulnerability index comprehensively integrates elements of the hazard using a Building Impact Index (BII) on one hand, and exposure, susceptibility and local protection elements using a Building Resistance Index (BRI) on the other hand. For the damage grades, local expert assessments are used for identifying and categorizing frequently observed regional damage patterns. Finally, by means of synthetic what-if analysis, experts are asked to estimate damage grades for each interval of the BII and class of BRI to develop a vulnerability curve. The proposed conceptual framework can be used 20 for damage prediction in data-scarce regions to support loss assessment and to provide guidance for disaster risk reduction.

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A Review of Flood Risk Analysis in Nigeria

Cited by 53 publications

References 34 publications

Climate Change and Coastal Floods: The Susceptibility of Coastal Areas of Nigeria

Climate Change and Coastal Floods: The Susceptibility of Coastal Areas of Nigeria

An Integrated Approach to Modelling of Flood Hazards in the Rapidly Growing City of Osogbo, Osun State, Nigeria

An adaptive regional vulnerability assessment model: Review and concepts for data-scarce regions

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