Vulnerability Assessment and Household Preparedness Level to Flood in Ogunpa-Oni Sub River Basin

Abstract

Flood is a natural event that cause varying degree of losses despite initiatives to mitigate its impact. As the drive to retore normalcy in flood riddle areas increases, concerns about the vulnerability of areas in relation to households’ responses to flood has emerged. This study therefore, identified areas vulnerable to flood; elicit households’ sociodemographic attributes and examine their level of preparedness to flood in Ogunpa and Oni River Basin. A GIS-based approach was adopted along with 121 well-structured questionnaires administered to the respondents. A multi-criteria analysis (that considers slope, rainfall, soil type, DEM and NDVI was adopted), descriptive statistic and binary logistic model was used to achieve the objectives. The results from the vulnerability map revealed varying vulnerability status across Ogunpa and Oni River Basin. In addition, the sociodemographic statistics revealed important variables that influences household decision to prepare for flood. It was also known that factors that drive households to prepare for flood vary across households in Ogunpa and Oni River Basin. The study recommends enlightenment campaign on proper refuse disposal, strengthening of environmental regulatory agency, adoption of participatory approach in the buildup of environmental policy and increasing the level of awareness on the need for insurance policy that covers household against disaster such as flood.

Sustainable Maize Crop Production in Owena Basin, Nigeria

“…The pairwise comparison matrix for this study gave a CR of 6.8% which is less than the 10% required. This result gave a strong ground to continue the weight assignment to each of the features Balogun et al [25]. A weighted overlay was carried out to map out the land area suitable, moderately, marginally, and least suitable to cultivate maize.…”

“…As such, existing literature revealed that many researchers (Abdullah et al [54], Antwi et al [55], Pachemska et al [56]) have employed AHP for different consistent land evaluation purposes. On the other hand, the literature also has other multicriteria methods that could be employed for land evaluation among which are Artificial Neural networks [32]; simple additive scoring (Aldababseh et al [31], Alilou et al [34]), and Linear combination and developing fuzzy-logic as reported by Balogun et al [25].…”

“…According to [23], the multicriteria decision simplifies the problem of assigning weight to criteria participating in the land suitability evaluation Herzberg, et al [24]. The multi-criteria technique, for example, has been employed for the Vulnerability Assessment and Household Preparedness Level to Flood (Balogun et al [25]), Southwest Nigeria land use land cover evaluation [26], Spatial Market Distribution of the local market [27], Land suitability assessment for Cocoa (Kappo et al [28]), land suitability for irrigation farming [29] and the citing of ecotourism centers [30]. Other multicriteria approaches available for the same purpose include outranking methods, simple additive scoring Aldababseh et al [31], Linear Combination, Simple limitation, fuzzy-logic modeling, Artificial Neural Networks, and the Analytical Hierarchy Process (AHP) [32], Ayla et al [33], Alilou et al [34], Herzberg, et al [24].…”