文章摘要
李丹,郭生练,尹家波.变参数PDS/GP模型及其在洪水频率分析中的应用[J].水利学报,2016,47(10):1269-1276
变参数PDS/GP模型及其在洪水频率分析中的应用
PDS/GP model with variable parameters and its application for flood frequency analysis
投稿时间:2015-12-07  
DOI:10.13243/j.cnki.slxb.20151322
中文关键词: 变参数PDS/GP模型  自动阈值选取  含协变量线性矩  核回归  洪水频率分析  丹江口水库
英文关键词: PDS/GP model with variable parameters  automatic threshold selection  linear moment with co-variate  kernel regression  flood frequency analysis  Danjiangkou Reservoir
基金项目:国家自然科学基金重点项目(51539009)
作者单位E-mail
李丹 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 54dli@163.com 
郭生练 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  
尹家波 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  
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中文摘要:
      传统的洪水频率分析模型一般假定研究区域是完全均质的,未能考虑分布函数参数会随协变量而变化,忽略了水文序列时空上的异质性。本文将广义Pareto(GP)分布函数的参数作为随机变量,利用自动阈值法确定独立样本的超定量系列(PDS),并将线性矩法和核回归法相结合估计含协变量的模型参数,从而构建了可考虑水文序列时空分布异质性的变参数PDS/GP模型。丹江口水库实例研究表明:定参数模型的尺度参数估计值和设计洪水预测值均在变参数PDS/GP模型的估计区间内,这说明本文提出的变参数PDS/GP模型能够更好地反映参数变化对模型不确定性的影响。而且,变参数PDS/GP模型的估计区间随重现期的增大而变宽,表明频率分析外延存在较大的不确定性,有必要考虑丹江口水库水文序列时空分布的异质性。
英文摘要:
      Flood frequency analysis is traditionally based on the assumption that the region is homogenous and the parameters are constant. Taking parameters of generalized Pareto distribution (GP) as random vari-ables,the PDS/GP model which can reflect the spatial and temporal heterogeneity of hydrological series is constructed in this paper. The PDS of independent samples is firstly determined by an automatic threshold selection method. Then the linear moment (LM) with covariate is derived and the estimators are given by kernel regression technology. The case study in Danjiangkou Reservoir shows that the estimation intervals of scale parameter and design floods include those values calculated by the static model. It is obvious that the PDS/GP model with variable parameters does well in uncertainty analysis of random variable on prediction. Furthermore, it indicates that the estimation interval range becomes larger as the return period increases, which reflects the uncertainty of extrapolation of the frequency distribution. And it is necessary to consider the spatial and temporal heterogeneity of hydrological series in Danjiangkou Reservoir.
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