长江科学院院报 ›› 2018, Vol. 35 ›› Issue (11): 26-31.DOI: 10.11988/ckyyb.20180187

• 水资源与环境 • 上一篇    下一篇

考虑气象协变量的非一致性设计枯水流量研究

杜涛1, 欧阳硕1, 李帅2, 王琨1, 卜慧1, 闫磊3   

  1. 1. 长江水利委员会 水文局, 武汉 430010;
    2. 中国长江三峡集团有限公司,湖北 宜昌 443133;
    3. 武汉大学 水资源与水电工程科学国家重点实验室,武汉 430072
  • 收稿日期:2018-03-02 修回日期:2018-05-02 出版日期:2018-11-01 发布日期:2018-11-01
  • 作者简介:杜 涛(1988-),男,满族,河北承德人,工程师,博士,主要从事水文分析与计算等方面的研究。E?mail:dtgege@126.com
  • 基金资助:
    国家重点研发计划项目(2016YFC0402201); 国家自然科学基金项目(51609007); 湖北省自然科学基金项目(2016CFB391)

Nonstationary Design Low-flow Analysis in Consideration of Climate Covariates

DU Tao1, OUYANG Shuo1, LI Shuai2, WANG Kun1, BU Hui1, YAN Lei3   

  1. 1. Bureau of Hydrology, Changjiang Water Resources Commission, Wuhan 430010, China;
    2. China Three Gorges Corporation, Yichang 443133, China;
    3. State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
  • Received:2018-03-02 Revised:2018-05-02 Published:2018-11-01 Online:2018-11-01

摘要: 研究非一致性条件下枯水流量设计值对流域水资源管理具有重要意义,然而如今常用的时变矩法推求出的每年一个设计值很难用于实际。选取渭河流域实测枯水流量序列作为实例进行研究,将气象协变量引入到枯水流量频率分析,结合重现期的期望超过次数(Expected Number of Exceedances, ENE)概念推求非一致性条件下枯水流量设计值,并与传统以时间为协变量的情况进行比较。结果表明:2种协变量情况下非一致性设计枯水流量相比于一致性结果存在明显差别,且以气温和降水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。研究所得设计结果可为流域枯水期水资源管理提供一定参考依据。

关键词: 设计枯水流量, 非一致性, 时变矩法, 重现期, 期望超过次数(ENE), 协变量, 渭河流域

Abstract: Design low-flow analysis under nonstationary conditions is a critical consideration in water resources management. The design low-flow varying from one year to the next obtained by using the time-varying moment method is hard to be applied to practical application. This paper is aimed to improve the characterization of nonstationary design low-flow under the expected number of exceedances (ENE) interpretation of return period by employing meteorological covariates in the nonstationary frequency analysis. The method of using time as the only covariate is also applied for comparison. Both methods are applied to the annual minimum monthly streamflow series of the Weihe River, China. Results demonstrate that the nonstationary design low-flow results of both methods are significantly different from the stationary case. The nonstationary design low-flow result using temperature and precipitation as covariates is found more reasonable and advisable than that of the case using time as covariate. It is concluded that nonstationary design low-flow analysis can be helpful to water resources management during dry seasons exacerbated by climate change.

Key words: design low-flow, nonstationarity, time-varying moment method, return period, expected number of exceedances (ENE), covariates, Weihe River Basin

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