基于GIS和遥感形态计量参数的洪水影响:以尼日尔三角洲地区为例

E. Oborie, E. Rowland
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引用次数: 2

摘要

本研究描述了利用地理空间技术确定洪水对尼日尔三角洲地区河流集水区影响的形态计量参数。数据来自美国地质调查局;利用ArcGIS 10.6软件对航天飞机雷达地形任务进行处理。水文数据分析、复合因子和加权叠加方法的结果表明,尼日尔河的早期峰值流量导致沿河岸的洪水,正如河流频率的发现所证明的那样。在相当长的一段时间里,伊科利河的集水区一直为尼日尔河提供峰值流量。Orashi河、Bomadi河、Forcados河、Nun河和Ikoli河流域的地形起伏率都很低,因此对洪水的影响很小。然而,地形起伏比高的集水区在较短的时间内提供更多的水,并在较低的位置产生洪水。由于径流参数高且集中时间短,Orashi河流域最容易发生洪水,其次是尼日尔河和Forcardos河流域,为“高”,Ikoli河、Nun河和Bomadi河流域为“中等”。因此,建议优先考虑Orashi,尼日尔和Forcados河集水区,以减少尼日尔三角洲研究区域洪水的影响。
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Flood influence using GIS and remote sensing based morphometric parameters: A case study in Niger delta region
This study delineates morphometric parameters for determining flood influence on river catchments in the Niger Delta Region using geospatial techniques. Data from the United States Geological Survey; Shuttle radar topographic mission was processed using ArcGIS 10.6 software. The results of the hydrological data analysis, compound factors, and weighted overlay approach demonstrate that early peak flows from the River Niger cause flooding along the riverbanks, as evidenced by the stream frequency findings. The Ikoli River's catchments consistently provide the River Niger with its peak discharge for a considerable time. The Orashi, Bomadi, Forcados, Nun, and Ikoli River basins all have a low relief ratio and hence little impact on floods. However, catchments with a higher relief ratio contribute more water in a shorter amount of time and produce floods in lower locations. Because of its high runoff parameters and short concentration time, the Orashi River catchment is the most flood-prone, followed by the Niger and Forcardos River catchments, which indicate "high," and the Ikoli, Nun, and Bomadi River catchments, which indicate "medium." It is therefore advised that the Orashi, Niger, and Forcados river catchments be prioritized in order to reduce the impact of floods in the Niger Delta research region.
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