张 清, 岳青华, 董晓华, 杨百银, 魏 冲, 喻 丹, 张 特.遥感蒸散发数据应用对SWAT模型径流和蒸散发模拟精度的影响Journal of Water Resources and Water Engineering[J].,2020,31(3):37-44 |
遥感蒸散发数据应用对SWAT模型径流和蒸散发模拟精度的影响 |
The application of remote sensing data to the SWAT model enhances its accuracy of evapotranspiration and runoff simulations |
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DOI:10.11705/j.issn.1672-643X.2020.03.06 |
中文关键词: SWAT模型 MOD16A2 蒸散发 径流 模拟精度 子流域尺度 |
英文关键词: SWAT(soil and water assessment tool) model MOD16A2 evapotranspiration(ET) runoff simulation accuracy subbasin scale |
基金项目:中国电力建设股份有限公司项目(DJ-ZDZX-2016-02);欧洲空间局、中国国家遥感中心项目(4000121168/17/I-NB) |
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中文摘要: |
为探讨遥感蒸散发数据补充研究区水文资料的能力,及其在SWAT模型应用中对径流和蒸散发模拟精度的影响。以淮河上游息县控制流域为研究区建模,并利用实测径流资料与遥感蒸散发数据(MOD16A2)设置3种参数率定情景:仅实测径流率定参数(S1)、仅遥感蒸散发率定参数(S2)、径流与蒸散发同时率定参数(S3),分析不同情景下径流与蒸散发过程的模拟效果。结果表明:从径流模拟而言,S2、S3较S1的模拟精度(NS系数)均有不同程度的降低,但S3在S2的基础上有较明显的改善;从子流域尺度上的蒸散发模拟而言,S1至S3模拟精度呈现出逐渐上升的趋势,在采用径流与蒸散发同时率定时,S3比S2情景NS系数上升的子流域个数占总数的46%。通过逐步深入探究遥感蒸散发数据在SWAT模型中的应用,以及对参数率定的影响,从而分析其对径流与蒸散发的模拟精度产生的变化,此方法也可推广到其他水文模型,在区域尺度水资源管理与利用上具有较好的参考价值。 |
英文摘要: |
Remote sensing evapotranspiration (ET) data was employed to investigate its ability of compensating for hydrological data in the study area, and its impact on the simulation performance of ET and runoff in the SWAT model. Xixian Basin in the upstream of Huaihe River was chosen as the study area. The data of monitored runoff and remote sensing ET (MOD16A2) were used in establishing three scenarios of parameter calibration, namely, S1-only use the monitored runoff data to calibrate parameters, S2-only use the remote sensing ET data to calibrate parameters, S3-use both data to calibrate parameters simultaneously. Then the simulation performance of each scenario was analyzed accordingly. The results indicated that compared with S1, the runoff simulation accuracy (NS coefficient) decreased both for S2 and S3, but with a significant improvement seen in S3. As for the ET simulation on the subbasin scale, the NS coefficient showed an increasing tendency from S1 to S3. Upon application of both data, the number of subbasins with increased NS coefficient in S3 accounted for 46% of the total subbasins compared to S2. This paper employed remote sensing ET data in a step-wise way to explore its application to the SWAT modeling and the impact on parameter calibration, and then analyzed the changes it brought into runoff and ET simulation performances. This method can be applied to other hydrological models, and provide valuable information for water resources management and utilization. |
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