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Parameter sensitivity analysis of SWAT model for streamflow simulation with multisource precipitation datasets

机译：多源降水数据集模拟水流的SWAT模型参数敏感性分析

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摘要

Streamflow in the Shiyang River basin is numerically investigated based on the soil and water assessment tool (SWAT). The interpolation precipitation datasets of GSI, multisource satellite and reanalysis precipitation datasets including TRMM, CMDF, CFSR, CHIRPS and PGF are specially applied as the inputs for SWAT model, and the sensitivities of model parameters, as well as streamflow prediction uncertainties, are discussed via the sequential uncertainty fitting procedure (SUFI-2). Results indicate that streamflow simulation can be effectively improved by downscaling the precipitation datasets. The sensitivities of model parameters vary significantly with respect to different precipitation datasets and sub-basins. CN2 (initial SCS runoff curve number for moisture condition II) and SMTMP (base temperature of snow melt) are found to be the most sensitive parameters, which implies that the generations of surface runoff and snowmelt are extremely crucial for streamflow in this basin. Moreover, the uncertainty analysis of streamflow prediction indicates that the performance of simulation can be further improved by parameter optimization. It also demonstrates that the precipitation data from satellite and reanalysis datasets can be applied to streamflow simulation as effective inputs, and the dependences of parameter sensitivities on basin and precipitation dataset are responsible for the variation of simulation performance.
机译：基于土壤水评估工具（SWAT），对石羊河流域的径流进行了数值研究。专门将GSI的插值降水数据集，多源卫星和包括TRMM，CMDF，CFSR，CHIRPS和PGF的再分析降水数据集用作SWAT模型的输入，并讨论了模型参数的敏感性以及流量预测的不确定性。顺序不确定度拟合程序（SUFI-2）。结果表明，通过缩减降水量数据集可以有效地改善水流模拟。模型参数的敏感性相对于不同的降水数据集和子流域有很大的不同。 CN2（湿度条件II的初始SCS径流曲线编号）和SMTMP（融雪的基础温度）被认为是最敏感的参数，这意味着地表径流和融雪的产生对于该流域的水流极为重要。此外，对流量预测的不确定性分析表明，通过参数优化可以进一步提高仿真性能。它还表明，卫星和再分析数据集中的降水数据可以作为有效输入应用于流场模拟，参数敏感性对流域和降水数据集的依赖性是造成模拟性能变化的原因。

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  • 来源
    《Nordic hydrology》 |2019年第4期|861-877|共17页
  • 作者

    Guo Jing; Su Xiaoling;

  • 作者单位

    Northwest A&F Univ Coll Water Resources & Architectural Engn Yangling 712100 Shaanxi Peoples R China;

    Northwest A&F Univ Coll Water Resources & Architectural Engn Yangling 712100 Shaanxi Peoples R China|Northwest A&F Univ Key Lab Agr Soil & Water Engn Arid Area Minist Educ Yangling 712100 Shaanxi Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    multisource datasets; sensitivity analysis; Shiyang River basin; streamflow simulation;

    机译：多源数据集;敏感性分析;石羊河流域;流模拟;

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