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基于组件式水文模型的径流模拟不确定性分析

周丽婷 谢康 刘攀 张晓菁 曾志强 周涛 张海荣

水科学进展2025,Vol.36Issue(4):610-620,11.
水科学进展2025,Vol.36Issue(4):610-620,11.DOI:10.14042/j.cnki.32.1309.2025.04.006

基于组件式水文模型的径流模拟不确定性分析

Analysis of runoff simulation uncertainty based on component-based hydrological model in the Upper Yangtze River basin

周丽婷 1谢康 2刘攀 3张晓菁 3曾志强 1周涛 4张海荣1

作者信息

  • 1. 中国长江电力股份有限公司,湖北 宜昌 443133||智慧长江与水电科学湖北省重点实验室,湖北 宜昌 443133
  • 2. 南京水利科学研究院水灾害防御全国重点实验室,江苏 南京 210029
  • 3. 武汉大学水资源工程与调度全国重点实验室,湖北 武汉 430072
  • 4. 智慧长江与水电科学湖北省重点实验室,湖北 宜昌 443133||长江水利委员会长江科学院,湖北 武汉 430010
  • 折叠

摘要

Abstract

To evaluate the relative influence of precipitation data,model structure and model parameters on runoff simulation uncertainty,this study selected four multiple precipitation datasets(station observations,CRUJRA,CMFD,ERA5-Land gridded data)and constructed a modular component-based hydrological model.The dynamic Sobol'sensitivity analysis method was applied to quantify the sensitivity of input data,model structure,and parameters across 51 sub-basins in the Upper Yangtze River basin.The results are as follows:①Model parameters contribute most significantly to runoff simulation uncertainty,with the median of multi-year average total order sensitivity index being 0.59 across sub-basins,followed by model structure(0.51)and precipitation data(0.36).②The interflow process exhibits the highest sensitivity,followed by evapotranspiration,snow balance,surface runoff and baseflow processes.The sensitivities of hydrological sub-processes demonstrate seasonal variability,with the snow balance process being the most pronounced.③Parameters related to snow balance,evapotranspiration,and interflow processes are critical parameters influencing the runoff simulation uncertainty.④Mean temperature,elevation,and hydraulic conductivity are significant factors influencing model structure and parameter sensitivities of snow balance,evapotranspiration,and interflow processes.The study identifies time-varying sensitivity patterns of precipitation data,model structure and parameters on runoff simulation uncertainty,providing insights for optimizing hydrological model structure and parameterization.

关键词

径流模拟/不确定性/组件式水文模型/模型结构/模型参数/动态敏感性分析

Key words

streamflow simulation/uncertainty/component-based hydrological model/model structure/model parameter/dynamic sensitivity analysis

分类

建筑与水利

引用本文复制引用

周丽婷,谢康,刘攀,张晓菁,曾志强,周涛,张海荣..基于组件式水文模型的径流模拟不确定性分析[J].水科学进展,2025,36(4):610-620,11.

基金项目

国家重点研发计划项目(2023YFF0805702) (2023YFF0805702)

国家自然科学基金项目(52409008)The study is financially supported by the National Key R&D Program of China(No.2023YFF0805702)and the National Natural Science Foundation of China(No.52409008). (52409008)

水科学进展

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