尼日利亚夸拉州伊洛林及其周边地区的gis辅助洪水风险潜在测绘

S. A. Alimi, E. O. Oriola, S. S. Senbore, V. C. Alepa, F. J. Ologbonyo, F. S. Idris, H. O. Ibrahim, L. O. Olawale, O. J. Akinlabi, O. Ogungbade
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摘要

尼日利亚各地不断发生的洪水灾害已经要求对洪水风险管理技术进行紧急展望。伊洛林及其周边地区每年都会遭受洪水的侵袭。本研究旨在评估伊洛林及其周边地区的洪水风险,并为政府和政策制定者提供适当的洪水缓解策略,以缓解该州未来的洪水事件。获取并分析了卫星图像数据,用于该地区的洪水风险评估。采用多准则决策技术对10个影响较大的洪水成因进行了协同分析;它们是地表温度、高程、土壤水分指数、离河流距离、排水密度、河流功率指数、归一化植被指数、土地利用、土地覆盖、坡度和地形湿度指数。结果表明:低风险区占研究区总面积的47.2%,中等风险区占33.5%,高风险区占19.29%;伊洛林及其周边的大部分地区是安全的,不会遭受洪水灾害;在被调查的总面积中,只有大约四分之一位于洪水高发区;这些地区大多位于州内主要溪流、河流和水坝的岸边。该邦以前的洪水案例图将受影响的地区置于洪水风险的高和中等区域,证实了地理空间技术在洪水风险评估中的有效性。希望这项研究的发现和建议能够得到实施,以防止该州未来发生毁灭性的洪水。
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GIS-assisted Flood-risk Potential Mapping of Ilorin and its Environs, Kwara State, Nigeria
Abstract The incessant reoccurrence of flooding disasters across Nigeria has mandated an urgent outlook on flood-risk management techniques. Ilorin and its environs have suffered immensely from annual flood reoccurrence. This study aims to assess flood risk within Ilorin and its environs and proffer adequate flood mitigation strategies that governments and policymakers can adopt to placate future flooding events within the state. Satellite imagery data were acquired and analyzed for flood-risk assessment of the area. Ten highly influential flood causative factors were synergized using Multi-Criteria Decision-Making techniques in this research; they are Land Surface Temperature, Elevation, Soil Moisture Index, and Distance to Stream, Drainage Density, Stream Power Index, Normalized Difference Vegetation Index, Land Use Land Cover, Slope, and Topographic Wetness Index. Findings showed that approximately 47.2% of the study area had low flood risk, while moderate and high flood-risk zones occupied 33.5% and 19.29%, respectively. Most parts of Ilorin and its environs are safe from flood disasters; only about one-quarter of the total area under investigation lies in the high flood-risk zones; these areas mostly fall within the shores of major streams, rivers, and dams within the state. A plot of previous flood cases in the state placed the affected areas in the high and moderate zones of flood risk, confirming the efficacy of geospatial techniques in flood-risk assessment. It is hoped that this study's findings and recommendations can be implemented to prevent future devastating flooding occurrences within the state.
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