Page 64 - 2021年第52卷第7期
P. 64

[ 32] SMITH J A . Representation of basin scale in flood peak distributions[J]. Water Resources Research,1992,28
                      (11):2993-2999 .
                [ 33] 权琦泽 . 库坝影响下黄土地区设计洪峰研究[D]. 西安:西安理工大学,2016 .
                [ 34] 周宏飞,王大庆,马健,等 . 天山山区草地覆被和雨强对产流和产沙的影响研究——以天山天池自然保护
                       区为例[J]. 水土保持通报,2009,29(5):26-29 .
                [ 35] HOSKING J R M . L-Moments:analysis and estimation of distributions using linear combinations of order statis⁃
                       tics[J]. Journal of the Royal Statistical Society:Series B(Methodological),1990,52(1):105-124 .
                [ 36] NASH J E ,SUTCLIFFE J V . River flow forecasting through conceptual models part I - A discussion of principles
                      [J]. Journal of Hydrology,1970,10(3):282-290 .
                [ 37] 于坤霞 . 枯水流量频率分析方法研究[D]. 武汉:武汉大学,2014 .
                [ 38] RIGBY R A,STASINOPOULOS D M . Generalized additive models for location scale and shape[J]. Journal of
                       the Royal Statistical Society,2005,54(3):507-554 .
                [ 39] AKAIKE H . A new look at the statistical model identification[J] . IEEE Transactions on automatic control,
                       1974,19(6):716-723 .
                [ 40] 陆中央 . 关于年径流量系列的还原计算问题[J]. 水文,2000,20(6):9-12 .
                [ 41] 王忠静,李宏益,杨大文 . 现代水资源规划若干问题及解决途径与技术方法(一)——还原“失真”与“失效”
                      [J]. 海河水利,2003(1):13-16 .
                [ 42] 谢平,陈广才,夏军 . 变化环境下非一致性年径流序列的水文频率计算原理[J]. 武汉大学学报(工学版),
                       2005,38(6):6-9 .
                [ 43] 刘美,秦毅,李子文,等 . 黄河上游近期洪水情势预测分析[J]. 西北农林科技大学学报(自然科学版),
                       2017,45(3):205-211 .
                [ 44] 谢平,陈广才,韩淑敏,等 . 从潮白河年径流频率分布变化看北京市水资源安全问题[J]. 长江流域资源与
                       环境,2006(6):713-717 .
                              Study on mechanism-based reconstruction method to cope with
                                      the nonstationary change of hydrological series


                                                     QIN Yi,LI Shi
                 (State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China,Xi’an University of Technology,Xi’an  710048,China)


                   Abstract: The nonstationarity of hydrological series lead to the theoretical bottleneck of many commonly
                   used hydrological analysis and calculation methods, which have not been effectively solved and still needs
                   to be explored and studied continuously. From the point of view of the relationship between depend vari⁃
                   able and independent variables,the reason for the nonstationary change of hydrological variable is the non⁃
                   stationary change of its influencing factors. On this basis,the concept of mechanism function of single influ⁃
                   ence factor acting on hydrological variable is put forward from the perspective of physical mechanism. Ac⁃
                   cording to the statistical multiplication model established between hydrological variable and influence factor
                   mechanism functions,a new function is constructed,and based on this new function,the effect of nonsta⁃
                   tionary influence factors on hydrological variable is removed from the original series. The reconstruction of
                   hydrological series realizes the transformation from the nonstationary series to a new stationary reconstruction
                   series, so this method is called the Mechanism-based Reconstruction Method (MBRM) The reconstructed
                                                                                       .
                   series can be used in all the stationary series-based analysis and calculation work. The application research
                   of the nonstationary maximum annual flood peak discharge series in the Jialuhe River basin shows that the
                   MBRM can not only removes the linear,nonlinear trend and abrupt change of hydrological series,but also
                   the distribution of the reconstructed series is more consistent with the sampling characteristics of the origi⁃
                   nal series. The decomposition and synthesis method can only remove the trend in the first moment of the
                   series,while the MBRM can play a role in removing the nonstationarity in the first and second moments.
                   Keywords: hydrological series; nonstationarity; mechanism function; mechanism-based reconstruction func⁃
                   tion;reconstructed stationary series
                                                                                   (责任编辑:韩         昆)


                 — 818  —
   59   60   61   62   63   64   65   66   67   68   69