Flood Vulnerability Mapping: A Case Study of Okoko Basin, Osogbo

Toyosi Beatrice Adedoja, Oladimeji Samuel Popoola, Taofeek Abayaomi Alaga, Adesioye E.A. Adesola
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Abstract

This study employed Geographic Information System (GIS) and remote sensing approach to analyze the flood vulnerability areas in the Okoko basin area of Osogbo in Osun state, Southwestern Nigeria. High-resolution imageries, a Topographic map of the study area and a TCX software program (Version 2.0) were integrated using ArcGis (10.7). Some of the causative factors for flooding in the watershed were taken into account which are: Land use, Distance of buildings to drainage, Digital Elevation Model, and Slope. This study aimed at mapping the flood-vulnerable areas along the Okoko basin of Osogbo. In developing a flood risk/flood hazard map of the study area, and determining the level of expected disaster, a multi-criteria analysis was utilized. The factors considered were ranked in five classes with the highly vulnerable areas having the highest score of “5”. These factors were weighed according to the estimated significance of causing flooding. The study revealed that the study area has an estimated area of 17.85 km2 of which 14.2 km2 falls within the vulnerable areas while 3.6 km2 is on the least vulnerable areas. Moreover, out of 16,829 buildings in the study area, 8204 buildings were found susceptible to flood disasters. This research attempts to equip decision-makers to make accurate decisions and also serves as a mitigation measure for flood disaster management.
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洪水脆弱性制图:以奥索博Okoko盆地为例
本研究采用地理信息系统(GIS)和遥感方法对尼日利亚西南部奥孙州奥索博的Okoko盆地地区的洪水易损区进行了分析。使用ArcGis(10.7)将高分辨率图像、研究区域地形图和TCX软件程序(2.0版)集成在一起。考虑了流域洪水的一些原因,包括:土地利用、建筑物与排水的距离、数字高程模型和坡度。这项研究的目的是绘制沿奥索博的Okoko盆地易受洪水影响地区的地图。在制定研究区域的洪水风险/洪水灾害图和确定预期灾害水平时,采用了多标准分析。考虑的因素分为五个等级,高度脆弱的地区获得最高的“5”分。这些因素是根据引起洪水的估计程度来权衡的。研究表明,研究区面积约为17.85 km2,其中脆弱区面积为14.2 km2,最不脆弱区面积为3.6 km2。此外,在研究区域的16,829栋建筑中,有8204栋建筑易受洪涝灾害的影响。本研究旨在为决策者提供准确的决策装备,同时也为洪水灾害管理提供一种缓解措施。
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