GIS-Based Analytical Hierarchy Process Modeling for Flood Vulnerability Assessment of Communities Along Otamiri River Basin Imo State, Nigeria

Uwandu I. G., Ejikeme J. O., Chukwu F. N.
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Abstract

In recent times, communities along the Otamiri River Basin in Imo State have been grappling with flooding issues, especially during the rainy season. This occurs despite the presence of underground drainage systems. The primary concern is heavy rainfall causing the river to overflow and lead to flooding. Hence the study aimed at identifying the flood-prone areas in the Otamiri River Basin in Owerri, Imo State. The objectives are to establish factors for evaluating flood vulnerability within the study area;  to classify and standardize the factors according to levels of vulnerability; to determine the reliability of the classified factors; and  to produce a flood vulnerability map showing vulnerable areas in the study area. The methodology involved collecting Shuttle Radar Topography Mission and Sentinel 2A imagery of July 2022, and processing the data with ArcGIS and QGIS software to determine the topography and vulnerability areas through geo-referencing and classification. The Analytical Hierarchy Process (AHP) model was employed to identify high flood risk areas, considering factors like drainage density, slope, soil type, precipitation, population density, Euclidean distance, and land use. The study's results categorized vulnerability into five levels: Very Low (0.09% of Owerri, minimal risk), Low (12.93% with lower risk), Moderate (68.83% facing substantial risk), High (18.18% with significant risk), and Very High (0.03% posing extreme risk). These findings are recommended as foundational data for future flood studies in the region.
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尼日利亚伊莫州奥塔米里河流域沿岸社区洪水脆弱性评估的基于地理信息系统的层次分析处理模型
近来,伊莫州奥塔米里河流域沿岸的社区一直在努力解决洪水问题,尤其是在雨季。尽管有地下排水系统,但还是会出现这种情况。主要问题是暴雨导致河水泛滥,引发洪灾。因此,本研究旨在确定伊莫州奥韦里市奥塔米里河流域的洪水易发区。研究的目标是确定评估研究区域内洪水脆弱性的因素;根据脆弱性程度对这些因素进行分类和标准化;确定分类因素的可靠性;绘制洪水脆弱性地图,显示研究区域内的脆弱地区。该方法包括收集 2022 年 7 月的航天飞机雷达地形图任务和哨兵 2A 图像,并使用 ArcGIS 和 QGIS 软件处理数据,通过地理参照和分类确定地形和脆弱地区。考虑到排水密度、坡度、土壤类型、降水量、人口密度、欧氏距离和土地利用等因素,采用层次分析法(AHP)模型确定洪水高风险区。研究结果将脆弱性分为五个等级:极低(占奥韦里的 0.09%,风险极小)、低(占 12.93%,风险较低)、中(占 68.83%,面临重大风险)、高(占 18.18%,面临重大风险)和极高(占 0.03%,构成极端风险)。建议将这些结果作为该地区未来洪水研究的基础数据。
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