Analysis of Flood Peaks Using The Mean Annual Flood Method

A. Hidayat, Basysyar Basysyar, Yulius Rief Alkhaly, Md Nadir Bin Ali
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Abstract

The Kedang Pahu river is one of the tributaries of the Mahakam river. The research plan is located in Damai District, West Kutai Regency, East Kalimantan province. Recently, the Damai District and Damai Seberang areas have flooded activities that have caused the surrounding settlements to flood into residential areas and block existing road access. Planning analysis and knowing the annual flood elevation is essential. The analysis uses the method of calculating the mean annual flood (MAF) to search for the average annual flood discharge data and the search for the average annual elevation. Data validation using a simple linear regression method produces a correlation coefficient of 58.67%, or R-value = 0.5867. The analysis results in the value of Q1 or the 1st year period, the mean annual flood rate of the average annual flood discharge is 2576.0695 m³/second and the value associated with the magnifying factor (GF) is the average annual flood discharge rate of Q5=3014,00 m³/ sec, Q10 = 3529.22 m³/sec, Q20 = 4095.95 m/sec, Q50 = 5049.10 m³/sec, Q100 = 5847.68 m³/sec, Q200 = 6852.34 m³/sec, Q500 = 8423.75 m³/sec & Q1000 = 9917.87 m³/sec. The analysis results at HEC-RAS 5.07 based on manning analysis showed the elevation values were Q1=18.47m, Q5=18.85m, Q10=18.86m, Q20=19.18m, Q50=19.74m & Q100=19.99m. Researchers only show elevations up to Q100 or the 100th year because of limited data and the reviewed data accuracy.
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用年平均洪水法分析洪峰
Kedang Pahu河是Mahakam河的一条支流。研究计划位于东加里曼丹省西库台县达麦区。最近,Damai区和Damai Seberang地区发生洪水活动,导致周围的定居点涌入居民区,阻塞了现有的道路通道。规划分析和了解年洪水高度是必不可少的。分析采用计算年平均洪水(MAF)的方法,查找年平均洪流量数据,查找年平均高程。采用简单线性回归方法进行数据验证,相关系数为58.67%,r值= 0.5867。分析得出Q1或第1年期间的年平均洪流量为2576.0695 m³/s,与放大因子(GF)相关的值为Q5= 3014000 m³/s、Q10 = 3529.22 m³/s、Q20 = 4095.95 m³/s、Q50 = 5049.10 m³/s、Q100 = 5847.68 m³/s、Q200 = 6852.34 m³/s、Q500 = 8423.75 m³/s、Q1000 = 9917.87 m³/s的年平均洪流量。基于manning分析的HEC-RAS 5.07的分析结果显示,高程值Q1=18.47m, Q5=18.85m, Q10=18.86m, Q20=19.18m, Q50=19.74m, Q100=19.99m。由于有限的数据和审查的数据准确性,研究人员只显示了高达Q100或100年的海拔。
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