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The Stochastic Event Flood Model Applied to Minidoka Dam on the Snake River, Idaho

机译:随机事件泛滥模型应用于蛇河,爱达荷州蛇河上的Minidoka大坝

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A stochastic event-based, rainfall-runoff model was developed to compute magnitude-frequency estimates for flood peak discharge, runoff-volume and maximum reservoir level at Minidoka Dam. This model was supplemented with probabilistic analysis of historic and potential flood outflows from American Falls Dam. The basic concept of the stochastic model is to employ a deterministic flood computation model and treat the input parameters as variables instead of fixed values. Monte Carlo sampling procedures are used to allow the climatic and hydrologic input parameters to vary in accordance with that observed in nature Flood peaks rather than flood volume were found to be the primary concern because of the limited flood storage in Lake Walcott behind Minidoka Dam. The magnitude frequency curve developed for peak flows revealed that inflow peak flows in excess of 109,000 ft~3/s, the approximate maximum non-overtopping discharge available at Minidoka Dam, would have an annual return period in excess of 10,000-years. The magnitude-frequency curve developed for maximum reservoir elevations confirmed the overtopping probability to be in excess of 1 in 10,000-years.
机译:开发了一种基于随机事件的降雨径流模型,以计算Minidoka大坝洪水峰值放电,径流量和最大水库水平的大小频率估计。该模型对来自美国瀑布大坝的历史和潜在洪水流出的概率分析。随机模型的基本概念是采用确定性洪水计算模型,并将输入参数视为变量而不是固定值。 Monte Carlo采样程序用于允许气候和水文输入参数根据自然洪水峰观察到的,而不是洪水数量被发现是主要关注的主要关注点,因为沃尔科特湖后面的Minidoka大坝后面的洪水储存有限。为峰值流动开发的幅度频率曲线显示,流入峰值超过109,000 ft〜3 / s,Minidoka大坝可用的大约最大非概述放电,每年返回期超过10,000年。为最大储层高级开发的大小频率曲线证实了超过10,000年超过1的概率。

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