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A procedure for determination of design runoff curve number for Bamhani Watershed

机译:用于测定Bamhani流域设计径流曲线数的程序

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Probalistic estimation of one day maximum runoff is essential for safe and cost effective planning and design of surface runoff storage system. In Present study, One-day maximum and consecutive 2 and 3 day maximum runoff were computed for the Bamhani Watershed. The curve numbers are treated as random variables with the curve numbers associated with antecedent runoff condition II (Normal) representing 50% CN. Those associated with dry and wet are shown to be representative of 10% and 90 % CN value respectively. The design runoff (CN) was estimated for 10-year period by using SCS-CN model. Furthermore, 1, 2, and 3 day maximum runoff was fitted with three probability distribution (Log-normal, Gumble and Log Pearson-III. Of the Three probability distributions employed, Log Pearson type 3 distribution exhibited the best fit for the data. Finally 1, 2, and 3 day maximum runoff was estimated at return periods of 2, 5, 10, 25, 50, 100 and 200 years. The match between the design CN (for dry condition)-generated runoff and the conventional design runoff is found to be satisfactory for all return periods and rain durations for the studied watersheds, indicating the versatility of the proposed approach.
机译:一天最大径流的初步估计对于安全且具有成本效益的表面径流存储系统的规划和设计至关重要。在目前的研究中,为Bamhani流域计算了一天的最大和连续2和3天最大的径流。曲线数被视为随机变量,曲线数与表示50%CN的先前径流条件II(正常)相关联的曲线数。与干燥和湿相关的那些分别表示为10%和90%CN值。通过使用SCS-CN模型估计设计径流(CN)10年。此外,1,2和3天的最大径流配有三个概率分布(逻辑正常,Gumble和Log Pearson-III。采用的三个概率分布中,Log Pearson类型3分布呈现最适合数据。最后估计在2,5,10,25,50,100和200年的返回期内估计了1,2和3天的最大径流。设计CN(用于干燥条件)之间的匹配 - 生成的径流和传统设计径流是对于所学习的流域的所有退货期和雨持续时间,发现令人满意的是,表明所提出的方法的多功能性。

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