Study on flood control risk of flood control engineering system based on the clustering of measured data

被引:0
作者
Rong-yong Ma
Yi Du
Kai Li
机构
[1] Guangxi University,College of Civil Engineering and Architecture
[2] Guangxi Key Laboratory of Disaster Prevention and Engineering Safety,undefined
来源
Cluster Computing | 2019年 / 22卷
关键词
Flood risk; Flood control engineering system; Flood control capacity; Reservoir combining with dikes; SAR(1) model;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, the flood control system of Nanning is taken as the research object. Select calculating the flood control risk rate of reservoir combining with dikes of the urban flood control engineering system as the starting point; According to measured flood sequence, use the SAR(1) model to simulate the flooding; Comprehensively consider the hydrological uncertainty composed of reservoir flood and flood area, the cognitive uncertainty of the flood forecasting error and impact of the uncertainty of the operational management of the cascade reservoir when dispatching delays. The results show that the scientific forecasting and decision-making can reduce the impact of uncertainty factors and improve the flood control capacity of the flood control engineering system of Nanning, and combined dispatching of two reservoirs of Baise and Laokou can meet designed requirements of flood control safety of Nanning when once-in-two centuries flood occurs. With the increase of the flood, the flood risk correspondingly increases, but the risk rate is not large in a certain range. In paper, random combinations of reservoir and interval frequency flood and simulated flood is used to calculate the risk ratio of flood control system to establish a rapid and effective risk calculation method of urban flood control engineering system and the relationship between flood frequency and risk rate, which provides references for flood control system to combine with operation decision of flood control.
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页码:6541 / 6549
页数:8
相关论文
共 73 条
[1]  
Luo Q(2011)Risk analysis for flood dispatching based on SAR model and Monte Carlo method Yangtze River 42 4-8
[2]  
Zhou Y(2015)Calculation and sensitivity analysis of risk probability of earth-rock dam overtopping caused by floods based on Monte-Carlo method J. Yangtze River Sci. Res. Inst 32 48-52
[3]  
Yang N(2009)Study on stochastic simulation annual maximum peak discharge of P-III distribution based on the Quasi-Monte Carlo method J. China Hydrol. 29 33-36
[4]  
Wanwan LV(2007)A new random simulation method for constructing synthetic flood hydrographs J. Sichuan Univ. Eng. Sci. Ed. 39 55-60
[5]  
Shengping GU(2008)Random simulation of flood hydrographs based on Copula function Eng. J. Wuhan Univ. 41 1-4
[6]  
Lei HE(2013)Copula-SAR model and its application for stochastic simulation of regional flood composition Eng. J. Wuhan Univ. 46 137-142
[7]  
Bao Z(1994)Application of stochastic differential equations in risk analysis for flood relief J. Hydraul. Eng. 3 1-9
[8]  
Liu J(1991)Hydraulic uncertainties and their effects on risk analysis of leeve or spillway systems J. Hohai Univ. 19 40-45
[9]  
Zhang J(2008)Research on risk analysis of reservoir real-time flood control operation Water Power 34 8-9
[10]  
Xiao Y(2005)Risk analysis on reservoir flood control operation based on selection of flood control level Water Resour. Hydropower Eng. 36 58-61