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Flood Frequency Design in the Lower of Yellow River by Regional L-Moments Method
Author: ZhuHuiLing
Tutor: LiuShuGuang;LinBingZhang
School: Tongji University
Course: Hydrology and Water Resources
Keywords: Regional L-moment The lower reaches of the Yellow River Frequency analysis Design flood
CLC: TV122
Type: Master's thesis
Year: 2006
Downloads: 333
Quote: 2
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Abstract
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With the development of China's national economy, becoming more damaging floods. Water Resources and Hydropower Engineering design such as a dam, spillway, highways, railways, bridges, pipelines and urban rainwater systems are based on design flood frequency. Actual socio-economic in constant development, flood control standard does not improve, technical design flood calculation is not updated. The linear moment method is developed on the basis of probability weighted moment a new method used to estimate the value of flood frequency curve parameters, has a good non-biased and soundness. The flood estimation manual the British Hydrological Institute in 1999 renumbering comprehensive linear moments for flood frequency analysis calculations. Regional L-moment algorithm is applied to the analysis and calculation of the year rainstorm frequency, the effect is also ideal, has formed a complete set of hydrological frequency algorithm. This paper introduced the theory of linear moments and based on linear moments regional frequency analysis theory and algorithms and the impact algorithm factors. The use of eight sites for the lower reaches of the Yellow River area the linear moment method for flood frequency analysis. The annual maximum flow series, discordant test (Discordancy Measure) and test for heterogeneity Heterogeneity Measure the eight sites for consistency (homogeneous) region, using Monte Carlo simulation (Monte Carlo simulation) are square error and the measured data to detect the distribution of three methods on five: generalized logistic distribution the (Generalized Logistic distribution, referred to as GLO), generalized extreme value distribution (Generalized Extreme Value distribution, referred to as GEV), generalized normal (Generalized Normal or 3-parameter Log-Normal distribution, GNO), Generalized Pareto distribution (Generalized Pareto distribution, GPA) and Pearson III distribution (Pearson Type Ⅲ distribution, PE3) test the GEV distribution is robust and area design flood formula. After which, during the test for heterogeneity H negative, indicating that the site may have a correlation between the correlation test, the choice of the five sites for regional frequency analysis to determine the GEV distribution for regional distribution, design results with eight Sites zone design results do not differ by more than 5%, it is still considered eight site area is suitable. Same sequence according to the part-time design flood, by detecting the eight sites for consistency region, the distribution function for the GNO distribution compare sequence during the flood frequency design value and annual maximum sequence flood
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CLC: > Industrial Technology > Hydraulic Engineering > The basic science of water resources project > Engineering and hydrology > Flood
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