Page 100 - 2025年第56卷第11期
P. 100

.
                      multiple streamflow contributions[J]  Hydrology and Earth System Sciences,2020,24(2):849-867.
               [ 12] SKLAR  A.   Random  variables, joint  distribution  functions, and  Copulas[J]   Kybernetika, 1973, 9(6):
                                                                                  .
                      449-460.
                                                                                       .
               [ 13] 刘章君,郭生练,许新发,等 .  Copula 函数在水文水资源中的研究进展与述评[J]  水科学进展,2021,32
                      (1):148-159.
               [ 14] 马 川 惠 , 黄 生 志 , 黄 强 .  渭 河 流 域 水 文 干 旱 历 时 -烈 度 相 依 结 构 动 态 变 化 与 驱 动 力 分 析[J]  水 利 学 报 ,
                                                                                                 .
                      2022,53(10):1180-1193.
                                                                                             .
               [ 15] AAS K,CZADO C,FRIGESSI A,et al.  Pair-copula constructions of multiple dependence[J]  Insurance:Math‐
                      ematics and Economics,2009,44(2):182-198.
                                                                                         .
               [ 16] 张晨,郑云鹤,刘殷竹,等 .  湖泊水力调控对河湖连通伴生洪水风险的缓释影响[J]  水利学报,2022,53
                      (3):316-324.
               [ 17] 陈镜元,章数语,张更喜,等 .  汉江流域夏季降水演变的水汽输送驱动机制[J]  水利学报,2024,55(5):
                                                                                      .
                      586-596,606.
                                                         .
               [ 18] MOORE R J.  The PDM rainfall-runoff model[J]  Hydrology and Earth System Sciences,2007,11(1):483-499.
               [ 19] LAN T,LIN K,XU C Y,et al.  A framework for seasonal variations of hydrological model parameters:impact on
                      model results and response to dynamic catchment characteristics [J]  Hydrology and Earth System Sciences,2020,
                                                                        .
                      24(12):5859-5874.
               [ 20] 甘容,徐孟莎,左其亭 .  伊洛河流域基流分割及其时空变化特征[J]  资源科学,2022,44(9):1824-1834.
                                                                           .
               [ 21] WU G, ZHANG J, LI Y, et al.  Revealing temporal variation of baseflow and its underlying causes in the source
                      region of the Yangtze River (China)[J]  Hydrology Research,2024,55(3):392-411.
                                                   .
               [ 22] XIE  J, LIU  X, WANG  K, et  al.   Evaluation  of  typical  methods  for  baseflow  separation  in  the  contiguous  United
                             .
                      States[J]  Journal of Hydrology,2020,583:124628.
               [ 23] PFANNERSTILL M, GUSE B, FOHRER N.  Smart low flow signature metrics for an improved overall performance
                                                 .
                      evaluation of hydrological models[J]  Journal of Hydrology,2014,510:447-458.
               [ 24] LEONG C,YOKOO Y.  A step toward global-scale applicability and transferability of flow duration curve studies:A
                      flow duration curve review(2000-2020)[J]  Journal of Hydrology,2021,603,16.
                                                      .


                       Construction of flow duration curves based on multi-component streamflow and
                                         simulation-driven hydrological modeling

                                                       1

                               LAN Tian 1,2,3 ,ZHANG Jiajia ,ZHANG Hongbo 1,2,3 ,CHEN Yongqin 4,5





                (1. School of Water and Environment,Chang′an University,Xi’an  710054,China;2. Key Laboratory of Subsurface Hydrology and Eco⁃




                 logical Effects in Arid Regions,Ministry of Education,Chang’an University,Xi’an  710054,China;3. Key Laboratory of Ecohydrology



                 and Water Security in Arid Regions,Ministry of Water Resources,Chang’an University,Xi’an  710054,China. 4. School of Humanities







                 and Social Science,The Chinese University of Hong Kong,Shenzhen  518172,China;5. Department of Geography and Resource Manage⁃



                       ment,The Chinese University of Hong Kong,Hong Kong Special Administrative Region,Hong Kong  999077,China)


                Abstract:The Flow Duration Curve (FDC)is an essential tool for reflecting changes in watershed hydrological pro‐
                cesses and water resource conditions,providing important references for the design of water resource engineering and

                the optimization of reservoir operation strategies. Due to the inherent complexity of hydrological processes,accurate


                prediction of the FDC remains a significant challenge. To address the issue,a process-based mixture Copula model
                was developed to improve the predictive accuracy of the FDC by analyzing and capturing the influence of multiple
                streamflow components on the shape of the FDCs. The HYMOD model was used to simulate the daily streamflow in
                the Hanjiang River Basin,providing input for the mixture Copula model. The delay flow separation was employed to

                divide the predicted streamflow into components representing different water sources,the dependence among these

                components  was  captured  using  an  optimal  Vine  Copula  structure.  The  results  indicate  that  during  the  calibration


                period,the application of the mixture Copula model achieved an average reduction of  26.5% in RMSE,effectively
                correcting the biases that arrose from constructing FDCs constructed directly based on predicted streamflow. Notably,
                for low streamflow,the RMSE_low was reduced by approximately 90%. Furthermore,the model demonstrates robust‐


                ness and stability across various time periods,providing a more accurate and effective new approach for the simula‐

                tion and prediction of FDCs.




                Keywords:flow duration curve;Vine Copula structure;delay flow separation;physical process control;Hanjiang

                River Basin
                                                                                     (责任编辑:耿庆斋)
                                                                                               — 1491  —
   95   96   97   98   99   100   101   102   103   104   105