SWIM水文模型在王家坝地区的适用性评估

高超; 陆苗; 姚梦婷; 孙艳伟

doi:10.13961/j.cnki.stbctb.2018.01.027

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SWIM水文模型在王家坝地区的适用性评估

试验研究

- SWIM水文模型在王家坝地区的适用性评估
- Applicability Evaluation of the SWIM Hydrological Model in Wangjiaba Region of China
- 水土保持通报 2018年38卷第1期页码：152-159
- 作者机构：
  
  1. 宁波大学地理与空间信息技术系,浙江,宁波,315211
  2. 安徽师范大学国土资源与旅游学院,安徽,芜湖,241000
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目“不同空间尺度农业旱涝灾害气象因子致灾阈值的确定：以淮河上游地区为例”（41571018）
- DOI：10.13961/j.cnki.stbctb.2018.01.027
  中图分类号：
- 纸质出版：2018
- 稿件说明：
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高超, 陆苗, 姚梦婷, 等. SWIM水文模型在王家坝地区的适用性评估[J]. 水土保持通报, 2018,38(1):152-159.

GAO Chao, LU Miao, YAO Mengting, et al. Applicability Evaluation of the SWIM Hydrological Model in Wangjiaba Region of China[J]. Bulletin of Soiland Water Conservation, 2018, 38(1): 152-159.
高超, 陆苗, 姚梦婷, 等. SWIM水文模型在王家坝地区的适用性评估[J]. 水土保持通报, 2018,38(1):152-159. DOI： 10.13961/j.cnki.stbctb.2018.01.027.

GAO Chao, LU Miao, YAO Mengting, et al. Applicability Evaluation of the SWIM Hydrological Model in Wangjiaba Region of China[J]. Bulletin of Soiland Water Conservation, 2018, 38(1): 152-159. DOI： 10.13961/j.cnki.stbctb.2018.01.027.

摘要

[目的

]

评估SWIM水文模型参数值变化对模拟王家坝地区径流精度的影响，为王家坝地区洪涝灾害的预报和减灾提供科学支持，并为SWIM在其他地区应用提供参照。[方法

]

利用王家坝地区率定期（1959-1978年）和验证期（1979-2008年）的实测数据，得到最优参数组合后定量分析SWIM在王家坝地区对7个可率定参数的敏感性。[结果

]

率定期和验证期模拟日径流量纳西效率分别达0.79和0.81，相对误差分别为22%和7.8%。随着参数thc （计算潜在蒸腾时对大气散射率的校准因子）值的增大，相对误差显著下降，其对thc值的敏感性强于纳西系数。roc

（河道汇流系数）比roc

（河道汇流系数）更能影响日径流，而roc

对径流影响汛期大于非汛期。随着参数sccor （饱和传导率校正因子）值的增大，模拟精度在汛期提高非汛期降低。[结论

]

率定后的SWIM模型在王家坝地区适用性良好；SWIM模拟结果在王家坝地区对thc，cnum

（曲线数法代码为1时，CN条件1），cnum

（曲线数法代码为1时，CN条件3），roc

，roc

，sccor取值变化比较敏感，对参数bff （基流因子），gwq

（）

（初始地下流对径流量的贡献）和abf

（）

（地下水阿尔法因子）取值变化不敏感。

Abstract

[Objective] The paper aims to evaluate the influence of changes in parameters of SWIM (soil and water integrated model) on the simulation accuracy of runoffs in Wangjiaba region

and provides scientific support for flood forecasting and disaster reduction

and provides a reference for the application of SWIM in other areas.[Methods] Based on the measured data at Wangjiaba region during the calibration period (1959-1978) and the validation period (1979-2008)

the optimal parameter combination was obtained

and the sensitivity of SWIM to the seven calibratable parameters in Wangjiaba region was quantitatively analyzed.[Results] The Nash-Sutcliffe efficiency (NSE) coefficients of runoffs in the calibration and validation periods were 0.79 and 0.81

respectively

with relative errors of 22% and 7.8%

respectively. With the increase of the thc parameter (correction factor for potential evapotranspiration on sky emissivity)

the relative error increased significantly

and its sensitivity to the thc value was higher than that of the NSE coefficient. roc4 (river routing coefficient) was more effective than roc2 (river routing coefficient)

while roc2 had a larger effect on runoff in flooding season than in non-flooding season. With the increase of the sccor parameter (correlation factor for saturated conductivity)

the simulation accuracy increased during the flooding season and decreased during the non-flooding season.[Conclusion] The calibrated SWIM model shows good applicability in Wangjiaba region. The results of SWIM simulation in Wangjiaba region are sensitive to variations in the parameters thc

cnum1 (CN condition 1 when the curve number method code is 1)

cnum3 (CN condition 3 when the curve number method code is 1)

roc2

roc4 and sccor

but not to variations in the parameters bff (base flow factor)

gwq() (contribution of initial groundwater flow to runoff) and abf() (groundwater alpha factor).

关键词

Keywords

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