基于地理信息系统(GIS)的尼日利亚拉各斯州洪水易感性评估

I. Isi̇aka, Suara Gafar, Sodiq A. Ajadi, Ibrahim Mukai̇la, Kingsley Ndukwe, Suebat Oluwakemi Mustapha
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引用次数: 1

摘要

洪水是影响人类生命财产的常见灾害。它曾对基础设施造成巨大破坏;交通中断,更大程度的洪水也会导致地面塌陷,引发山体滑坡。拉各斯州是尼日利亚的经济之都,由于暴雨和其他原因,拉各斯州经常遭受洪水的袭击。本研究旨在利用频率比模型和地理信息系统(GIS)编制拉各斯州洪水易感性图。在本文中,我们考虑了十个显著的影响洪水的因素,它们是;坡度、曲率、排水距离、排水密度、土壤类型、年平均降雨量、地形湿度指数、土地利用和土地覆盖、归一化植被指数和海拔高度来描绘易受洪水影响的地区。洪水库存地图是从新闻报道和谷歌地球图像中确定的100个洪水点准备的,并进一步分为70个用于训练和30个用于测试模型。结果表明,拉各斯州的洪水易感性分别为12.54%和11.62%。用曲线下面积法对模型进行了验证,结果表明,模型的预测成功率为64%,预测率为61%。这项工作是减轻该州洪水灾害的必要投入,将有助于城市规划者和政府做出决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flood Susceptibility Assessment of Lagos State, Nigeria using Geographical Information System (GIS)-based Frequency Ratio Model
Flood is a common disaster affecting the lives and properties of humans. It has a history of causing great damage to infrastructure; disrupt transportation, also, a greater degree of flooding can lead to caving in of the earth causing landslides. Oftentimes, Lagos state, the economic capital of Nigeria has been subjected to flooding owing to heavy rainfall coupled with other causative factors. This study aims to prepare a flood susceptibility map of Lagos state using the frequency ratio model and Geographic Information System (GIS). In this paper, we have considered ten salient contributing factors to flooding, they are; slope, curvature, drainage proximity, drainage density, soil type, average annual rainfall, topographic wetness index, land use & land cover, normalized difference vegetation index, and elevation to delineate the area susceptible to flooding. The flood inventory map was prepared from 100 flood points identified from news reports, and Google Earth Imagery and was further divided into 70 for training and 30 for testing the model. The result shows that 12.54% and 11.62% of the total area of Lagos state have very high and very low levels of flood susceptibility, respectively. The Area Under the Curve has been used to validate the model and was found to perform satisfactorily with a success rate of 64% and a prediction rate of 61%. This work is a necessary input for mitigating flood hazards in the state and will serve a good purpose in making decisions for city planners and the government.
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