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基于风险的非一致性设计洪水及其不确定性研究
引用本文:杜涛,熊立华,李帅,邵骏,许崇育,闫磊.基于风险的非一致性设计洪水及其不确定性研究[J].水利学报,2018,49(2):241-253.
作者姓名:杜涛  熊立华  李帅  邵骏  许崇育  闫磊
作者单位:长江水利委员会水文局, 湖北 武汉 430010,武汉大学 水资源与水电工程科学国家重点实验室, 湖北 武汉 430072,中国长江三峡集团有限公司, 湖北 宜昌 443133,长江水利委员会水文局, 湖北 武汉 430010,武汉大学 水资源与水电工程科学国家重点实验室, 湖北 武汉 430072;奥斯陆大学 地学系, 挪威 奥斯陆 N-0316,武汉大学 水资源与水电工程科学国家重点实验室, 湖北 武汉 430072
基金项目:国家重点研发计划(2016YFC0402201);国家自然科学基金项目(51539009);湖北省自然科学基金一般面上项目(2016CFB391)
摘    要:研究非一致性条件下的设计洪水对水利工程规划设计、防洪决策等具有重要意义,当今国内外研究方法主要集中于时变矩法,然而,该方法对于某一设计频率推求出的每年一个设计值很难用于实际。水利工程设计需要量化两方面的基础信息,工程设计使用年限及设计使用年限内水文风险。本文尝试将水文风险的概念引入到非一致性条件下设计洪水研究当中,其中选取更具物理意义的气象因子作为洪水频率分析的协变量,进一步结合大气环流模型(General Circulation Model,GCM)输出数据的统计降尺度结果推求特定设计使用年限内某一水文风险下的设计洪水,并与传统以时间为协变量的情况进行比较。选取渭河流域洪水序列作为实例研究。结果表明:两种协变量情况下非一致性设计洪水及其95%置信区间相比于一致性假设情况存在明显差别,并且以气象因子为协变量的非一致性设计结果相比于时间为协变量更为合理。本文方法所得设计结果可为水利工程规划设计及防洪决策提供一定参考依据。

关 键 词:非一致性  设计洪水  时变矩法  水文风险  不确定性
收稿时间:2017/6/12 0:00:00

Risk-based nonstationary design flood and uncertainty analysis
DU Tao,XIONG Lihu,LI Shuai,SHAO Jun,XU Chongyu and YAN Lei.Risk-based nonstationary design flood and uncertainty analysis[J].Journal of Hydraulic Engineering,2018,49(2):241-253.
Authors:DU Tao  XIONG Lihu  LI Shuai  SHAO Jun  XU Chongyu and YAN Lei
Affiliation:Bureau of Hydrology, Changjiang Water Resources Commission, Wuhan 430010, China,State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China,China Three Gorges Corporation, Yichang 443133, China,Bureau of Hydrology, Changjiang Water Resources Commission, Wuhan 430010, China,State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China;Department of Geosciences, University of Oslo, N-0316 Oslo, Norway and State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
Abstract:Design flood and its uncertainty analysis under nonstationary conditions is critical consideration in the planning and design of hydraulic structures and making flood control decisions. The time-varying moment method is widely applied, but a measure of design flood varying from one year to the next derived from the time-varying moment method is hard to be applied to practical application. The basic information needed for engineering design should consist of the design life period and the hydrological risk of a flood event occurring during the design life period. This paper is aimed to improve the characterization of nonstationary design flood and its uncertainty under the concept of hydrological risk by employing meteorological covariates in the nonstationary frequency analysis. The advantage of the method is that the downscaled meteorological variables from the General Circulation Model (GCM) can be used to calculate the nonstationary statistical parameters and exceedance probabilities for the design life period and thus the corresponding design flood quantile. The method of using time as the only covariate was also employed for comparison. Both methods were applied to the annual maximum daily streamflow series of the Wei River,China. It is demonstrated that the nonstationary design flood results of both covariate situations were significantly different from the stationary case. The nonstationary design flood result using temperature and precipitation as covariates was found more reasonable and advisable than that of the case using time as covariate. It is concluded that the nonstationary design result of this study can be valuable reference for the planning and design of hydraulic structures and making flood control decisions.
Keywords:nonstationarity  design flood  time-varying moment method  hydrological risk  uncertainty
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