| 引用本文: | 李敬伟,丁忆然,郭子乾,等.沙颍河流域产汇流模拟中的参数评估与应用研究[J].灌溉排水学报,2026,45(6):139-146. |
| LI Jingwei,DING Yiran,GUO Ziqian,et al.沙颍河流域产汇流模拟中的参数评估与应用研究[J].灌溉排水学报,2026,45(6):139-146. |
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| 摘要: |
| 【目的】探究SWAT模型在模拟沙颍河流域产汇流模拟的适用性，识别影响沙颍河流域水文过程的关键因素，确定对产汇流过程最为敏感的参数，为特殊水文过程（季节性干旱、暴雨洪水等）的径流模拟提供科学支撑。【方法】选取沙颍河流域为研究区，基于5个典型气象站的数据及流域地理信息，构建了沙颍河流域SWAT模型，评估沙颍河流域产汇流模拟参数及SWAT模型在该流域的适用性。【结果】①根据流域水系及地理特性，模型设置了25个子流域和300多个水文响应单元，经筛选对流域产汇流有显著影响的参数有20个；②采用SUFI-2算法分析获得校准期（2009—2015年）的决定系数R2为0.92，纳什效率系数NSE为0.91，验证期（2016—2018年）上述2项指标分别为0.86和0.83；③模型模拟的多年径流过程（R2为0.76）及干旱期径流过程（NSE为0.65）基本合理，模拟的各年汛期最大流量合格率达75%。【结论】SWAT模型在沙颍河流域不同水文条件下的产汇流过程均表现良好的适用性；高精度DEM数据、土壤及土地利用数据的科学分类与赋值、参数率定与优化方法是提高SWAT模型产汇流模拟精度的重要条件。 |
| 关键词: 沙颍河流域；SWAT模型；敏感性分析；参数优化；径流模拟 |
| DOI：10.13522/j.cnki.ggps.2025355 |
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| 基金项目: |
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| Parameter sensitivity analysis and application for runoff generation and routing simulation in the Shaying River Basin |
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LI Jingwei, DING Yiran, GUO Ziqian, LIU Mingxiao, DUAN Yatao, WANG Xueliu
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1. Henan Zhongyu International Port Group Corporation Limited, Zhengzhou 450016, China;
2. Henan Industrial Design and Research Institute Group Corporation Limited, Zhengzhou 450003, China;
3. Henan Zhonghao Information Technology Corporation Limited, Zhengzhou 450000, China;
4. North China University of Water Resources and Electric Power, Zhengzhou 450046, China
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| Abstract: |
| 【Objective】Rainfall-runoff simulation plays a crucial role in watershed water resources management, flood control, and drought mitigation. Taking the Shaying River Basin as an example, this paper proposes a method to identify and evaluate the key parameters that most influence simulation accuracy.【Method】The study is based on the SWAT model. Basin geographic information and meteorological data measured from five weather stations in the basin were used to construct and calibrate the model. The modeling included spatial discretization of the basin, construction of a multi-source database, sensitivity analysis and calibration of model parameters, and validation of the reliability and stability of the simulation results.【Result】①Based on its river network and other characteristics, the basin was divided into 25 sub-basins with more than 300 hydrological response units. A total of 20 parameters were identified, which had significant impacts on runoff generation and routing. ②Using the SUFI-2 algorithm, the coefficient of determination (R2) of the model calibration based on data from 2009 to 2015 was 0.92 and the Nash-Sutcliffe efficiency was 0.91, while R2 and NSE for model validation against data measured from 2016 to 2018 were 0.86 and 0.83, respectively. ③The model simulated multi-year runoff processes reasonably well with R2=0.76, and dry-season runoff with NSE=0.65, although it underestimated the peak flows in flood seasons, with the simulated peaks being approximately 75% of the observed peaks.【Conclusion】The SWAT model is effective for simulating runoff generation and routing under various hydrological conditions in the Shaying River Basin. The runoff is positively correlated with precipitation and negatively correlated with temperature. High-quality input data, such as DEM, soil and land usage, along with appropriate parameter calibration and optimization, are critical for improving simulation accuracy. |
| Key words: Shaying River Basin; SWAT model; sensibility analysis; parameter optimization; runoff simulation |
