Ibrahim Olatunji Raufu, Ibrahim Mukai̇la, Kafayat Olani̇yan, Zachariah Awodele
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引用次数: 0
Abstract
In flooding, dry land capable of residential, agricultural, and other economic activities is submerged by overflowing water. This causes loss of lives, properties, and destruction of infrastructure. This study applies remote sensing and GIS techniques to produce a flood vulnerability map of the Akure South metropolis. For this study, satellite image data (Landsat 8), location map of Akure South metropolis, SRTM DEM, rainfall data, soil data, and GPS coordinates; acquired during the field survey were integrated to map areas vulnerable to flooding. Using Pairwise Comparison, the various weights of factors constituting flood in the area were acquired. A weighted linear combination and analytical hierarchical process were used to produce the flood hazard and flood vulnerability map. ArcGIS Pro 2.7.3 software was used in spatial and attribute data acquisition, processing, and information presentation. The flood vulnerability results indicated that the very high vulnerability zone occupied 13.9% of the study area, while high vulnerability zone occupied 25.5%. Moderate vulnerability zone occupied 36.8% while low vulnerability zone occupied 23.8% of the study area. The study shows that, remote sensing and GIS can be effectively implemented to analyse and provide results on flood vulnerability required for prompt and effective decision-making on floods.
洪水泛滥时,适于居住、农业和其他经济活动的旱地被溢出的水淹没。这造成了生命、财产和基础设施的损失。本研究运用遥感和GIS技术,制作了阿库尔南部大都市的洪水易损性图。本研究采用卫星影像数据(Landsat 8)、阿库尔南部大都市位位图、SRTM DEM、降雨数据、土壤数据和GPS坐标;在实地调查期间获得的数据被用于绘制易受洪水影响的地区。采用两两比较的方法,得到了构成该地区洪水的各因素的权重。采用加权线性组合法和层次分析法编制了洪涝灾害易损性图。利用ArcGIS Pro 2.7.3软件进行空间和属性数据的采集、处理和信息呈现。洪水易损性结果表明,研究区高易损性区占13.9%,高易损性区占25.5%。中等脆弱区占36.8%,低脆弱区占23.8%。研究表明,遥感和GIS可以有效地应用于洪水脆弱性分析并提供快速有效的洪水决策所需的结果。