Nonstationary frequency analysis of low-flow series considering both baseflow recession process and rainfall

被引:0
|
作者
Xiong B. [1 ]
Xiong L. [1 ]
机构
[1] State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan
来源
关键词
Low-flow; Nonstationary frequency analysis; Recession analysis; Weihe River;
D O I
10.13243/j.cnki.slxb.20151319
中图分类号
学科分类号
摘要
The frequency analysis of low flows plays a key role in water resources management and planning. Due to the influence of climate change and human activities, the frequency spectrum of extreme hydrologic events would have changed over time. In order to implement hydrological frequency analysis under the changing environments, many nonstationary frequency analysis techniques have been developed recently. However, these methods are put forward mainly for analysis of floods rather than low flows. In this paper, a method incorporating the information of base-flow recession and rainfall into the nonstationary frequency analysis of low-flow series is carried out. The analysis presented in this study is based on 50 years of daily rainfall-runoff data from Huaxian gauging station of the Weihe River of northwestern China. The result shows that the method that establishes the link of low flows to base-flow recession process and rainfall is able to describe the frequency evolution of nonstationary low-flow series better than the method of trend analysis, thus providing important guidance to develop better techniques for the low-flow frequency analysis. © 2016, China Water Power Press. All right reserved.
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页码:873 / 883
页数:10
相关论文
共 25 条
  • [1] Gustard A., Demuth S., Et al., Manual on Low-flow Estimation and Prediction, (2009)
  • [2] Milly P.C.D., Betancourt J., Falkenmark M., Et al., Stationarity is dead: whither water management?, Science, 319, pp. 573-574, (2008)
  • [3] Xiong L.H., Guo S.L., Trend test and change-point detection for the annual discharge series of the Yangtze River at the Yichang hydrological station, Hydrological Sciences Journal, 49, 1, pp. 99-112, (2004)
  • [4] Strupczewski W.G., Singh V.P., Feluch W., Non-stationary approach to at-site flood frequency modeling: I: Aximum likelihood estimation, Journal of Hydrology, 248, pp. 123-142, (2001)
  • [5] Strupczewski W.G., Kaczmarek Z., Non-stationary approach to at-site flood frequency modeling: II: Weighted least squares estimation, Journal of Hydrology, 248, pp. 143-151, (2001)
  • [6] Strupczewski W.G., Singh V.P., Mitosek H.T., Non-stationary approach to at-site flood frequency modeling: III: Flood analysis of Polish rivers, Journal of Hydrology, 248, pp. 152-167, (2001)
  • [7] Katz R.W., Et al., Statistics of extremes in hydrology, Adv. Water Resour., 25, 8, pp. 1287-1304, (2002)
  • [8] Rigby R.A., Stasinopoulos D.M., Generalized additive models for location scale and shape, Journal of the Royal Statistical Society, 54, 3, pp. 507-554, (2005)
  • [9] Villarini G., Smith J.A., Et al., Flood frequency analysis for non-stationary annual peak records in an urban drainage basin, Adv. Water Resour., 32, 8, pp. 1255-1266, (2009)
  • [10] Liu D.D., Guo S.L., Lian Y.Q., Et al., Climate-informed low-flow frequency analysis using non-stationary modelling, Hydrological Processes, 29, 9, pp. 2112-2124, (2015)