DEM Computation of Flood Catchment Areas: Determining the Run-off and Maximum Discharge Time of Concentration in Uyo Urban

Malachy Ugochukwu OKOROJI, Nsisong Christopher EKONG
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Abstract

Rainfall runoff modelling is a vital and an essential paradigm in flood risk management. This research sought to determine the run-off and maximum discharge time of concentration (TC) in Uyo Urban to help facilitate adequate and proper flood risk and management plan in the area. The topographic map and 3D surface of the catchment area were generated and the rational method employed to determine the time of concentration of runoff as well as the maximum discharge while Hydrology extension in ArcGIS 10.3 was used to model the river basin from DEM and identify locations. Detailed analysis of 39 years (1977-2015) rainfall data was recorded to determine inter-annual variability, monthly distribution pattern, mean total annual rainfall, mean maximum daily rainfall and standardized anomaly index (SAI). The computed discharge was calculated. The results of the analyses indicate a total discharge of 1573.54m3/s and takes approximately 40 minutes of runoff time evident of prolonged rainstorms in areas like IBB Avenue as opposed to the short-lived rainfalls that causes flash floods in areas like Brook Street. This means that it takes a longer time of about 2 km to travel to the analysed site to cause flood. The study recommends the need for creation of more risk awareness and flood warning signs to further educate the people.
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洪水集水区的DEM计算:确定优市区的径流量和最大汇流时间
降雨径流模型是洪水风险管理的一个重要范例。本研究旨在确定Uyo城市的径流量和最大浓度排放时间(TC),以帮助促进该地区充分和适当的洪水风险和管理计划。生成集水区的地形图和三维面,采用合理的方法确定径流集中时间和最大流量,同时利用ArcGIS 10.3中的Hydrology extension从DEM对流域进行建模并确定位置。对39 a(1977-2015)降水资料进行详细分析,确定年际变率、月分布格局、年平均总降雨量、平均最大日降雨量和标准化异常指数(SAI)。计算了计算流量。分析结果表明,总流量为1573.54m3/s,径流时间约为40分钟,这表明IBB大道等地区的暴雨时间较长,而布鲁克街等地区的降雨时间较短,导致山洪暴发。这意味着需要更长的时间(约2公里)才能到达分析地点引起洪水。该研究建议需要建立更多的风险意识和洪水警告标志,以进一步教育人们。
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