Analyzing flash flood risk in a section of ntawogba creek, Port Harcourt city, Rivers State

Richard JU, Ibochi Andrew Abah, Ugwulebo BA
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Abstract

Flood is a natural disaster and occurred in different forms. It is also a factor of climate change. Flash flood is a type of flood that occurs within few hours of intensive precipitation. It poses serious threat to urban areas, particularly in less developed countries. Geospatial technology has been very useful in mapping spatial extent and quantified damages associated with flash flood events. Proximity analysis and AHP has been widely utilized in modeling flash flood vulnerable zones. Little was known about MCA ranking method which is considered appropriate for few parameters in making complex decisions. This study utilized MCA ranking method to analyzed flash flood risk within Ntawogba Creek, Port Harcourt, Rivers State. Rainfall, slope model, impervious surface and distance to river were used in the decision making. The datasets were processed into common spatial referenced system. Each criterion was scaled from 5 to 1, with 5 being very high risk and 1 very low risk area. Weights were assigned to the criteria based on the importance, with higher weight to criterion that is more important in the decision making process. The weights are; distance to water channel 48, impervious surface 25, slope 22 and rainfall 5. The results obtained showed area of 93.0ha as very high flash flood risk representing 6% of the area. This zone was located along Ntawogba Creek and on major roads. Total area of high risk zone was 864.1ha representing 56%, moderate risk and low risk zone was 452.2ha and 134.7ha with 29.3 5 and 8.7% respectively. For further study, drainage density and soil infiltration should be included in the flash flood risk analysis.
分析河流州哈科特港市恩塔沃格巴河部分地区的山洪暴发风险
洪水是一种自然灾害,发生的形式多种多样。它也是气候变化的一个因素。山洪是一种发生在强降水后几小时内的洪水。它对城市地区,特别是欠发达国家的城市地区构成严重威胁。地理空间技术在绘制与山洪灾害相关的空间范围和量化灾害损失方面非常有用。邻近分析和层次分析法在山洪易损区建模中得到了广泛的应用。人们对MCA排序法知之甚少,认为它适用于很少的参数来做出复杂的决策。本研究利用MCA排序法分析了河流州哈科特港Ntawogba Creek内的山洪风险。决策中考虑了降雨量、坡度模型、不透水面和与河流的距离。将数据集处理成公共空间参考系统。每个标准从5到1,5是非常高的风险区域,1是非常低的风险区域。根据重要程度对各指标赋予权重,在决策过程中越重要的指标权重越高。权重是;距离水道48,不透水表面25,坡度22,降雨量5。结果显示,93.0公顷的面积占该地区6%,是山洪暴发风险极高的地区。这个区域位于恩塔沃格巴河沿岸和主要道路上。高风险区总面积为864.1ha,占56%,中风险区面积为452.2ha,低风险区面积为134.7ha,分别占29.3.5%和8.7%。为了进一步研究,应将排水密度和土壤入渗量纳入山洪风险分析。
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