| CN05.1气象数据在流域水文模拟中的应用——以新疆开都河流域为例 |
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| 引用本文： | 罗映雪,徐长春,楚智,孙琪,陈丽.CN05.1气象数据在流域水文模拟中的应用——以新疆开都河流域为例[J].气候变化研究进展,2020,16(3):287-295. |
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| 作者姓名： | 罗映雪 徐长春 楚智 孙琪 陈丽 |
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| 作者单位： | 新疆大学资源与环境科学学院,乌鲁木齐 830046;新疆大学绿洲生态教育部重点实验室,乌鲁木齐 830046;新疆大学资源与环境科学学院,乌鲁木齐 830046;新疆大学绿洲生态教育部重点实验室,乌鲁木齐 830046;新疆大学资源与环境科学学院,乌鲁木齐 830046;新疆大学绿洲生态教育部重点实验室,乌鲁木齐 830046;新疆大学资源与环境科学学院,乌鲁木齐 830046;新疆大学绿洲生态教育部重点实验室,乌鲁木齐 830046;新疆大学资源与环境科学学院,乌鲁木齐 830046;新疆大学绿洲生态教育部重点实验室,乌鲁木齐 830046 |
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| 基金项目： | 国家自然科学基金(41561023) |
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| 摘 要： | 为探讨中国再分析气象数据集CN05.1在流域水文模拟中的适用性潜力,以开都河流域为研究区,分别使用CN05.1数据集和传统气象站数据驱动SWAT水文模型,采用决定系数（R 2)、纳什效率系数（NSE）和相对误差（Re）等评价指标对二者模拟效果进行对比分析,以确定CN05.1数据的适用性;最后采用两种数据订正方法对CN05.1降水数据进行了订正,并以水文模拟效果进行评价。研究结果表明:(1) CN05.1气象数据在开都河流域的水文气象模拟中具有较强的适用性;(2) 基于SWAT模型的水文模拟显示,CN05.1数据驱动的水文模拟精度高于传统气象站数据,其率定期（1995—2005年）和验证期（2006—2016年）的R 2分别为0.81和0.73,NSE分别为0.81和0.72,Re分别为-0.97%和0.39%;(3)两种数据订正方法均能较好地再现流域径流变化过程,但基于空间关系订正法的径流模拟效果更好,R 2和NSE均在0.72以上,|Re|＜1.7%。由此,订正后的CN05.1降水数据一方面弥补了传统气象站数据缺失的问题,另一方面补足了未订正CN05.1降水数据在径流模拟中峰值欠佳的问题。
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| 关 键 词： | CN05.1 SWAT模型 适用性评价 降水数据订正 开都河 |
| 收稿时间： | 2019-08-01 |
| 修稿时间： | 2019-09-09 |
Application of CN05.1 meteorological data in watershed hydrological simulation: a case study in the upper reaches of Kaidu River basin |
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| Ying-Xue LUO,Chang-Chun XU,Zhi CHU,Qi SUN,Li CHEN.Application of CN05.1 meteorological data in watershed hydrological simulation: a case study in the upper reaches of Kaidu River basin[J].Advances in Climate Change,2020,16(3):287-295. |
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| Authors: | Ying-Xue LUO Chang-Chun XU Zhi CHU Qi SUN Li CHEN |
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| Institution: | 1.College of Resource and Environmental Science, Xinjiang University, Urumqi 830046, China2 Key Laboratory of Oasis Ecology of Ministry of Education, Xinjiang University, Urumqi 830046, China |
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| Abstract: | In order to explore the applicability potential for China’s reanalyzed meteorological dataset CN05.1 in watershed hydrological modeling, the SWAT hydrological model was driven by CN05.1 dataset and traditional meteorological station data, respectively, by taking the Kaidu River basin the as research area in this paper. The comparison between the two simulation results was carried out by using evaluation factors such as coefficient of determination (R 2), Nash efficiency coefficient (NSE) and relative error (Re). Finally, two precipitation data correction methods were used to correct the CN05.1 precipitation data and the hydrological simulation results were evaluated. The results are as follows. (1) CN05.1 meteorological data has certain applicability in the hydrometeorological simulation of the Kaidu River basin. (2) Hydrological simulation based on SWAT model shows that CN05.1 data-driven hydrological simulation accuracy is higher than traditional meteorological station data, and the R 2 over the period of calibration (1995-2005) and verification period (2006-2016) is 0.81 and 0.73, NSE is 0.81 and 0.72, and Re is -0.97% and 0.39%, respectively. (3) The two kinds of correction data can both simulate the process of runoff change well, but runoff simulation based on spatial relationship correction method shows better effect, and the R 2 and NSE are above 0.72, |Re| is less than 1.7%. Therefore, the corrected CN05.1 precipitation data can compensate for the lack of data in the traditional meteorological station and the unsatisfactory peak value of the CN05.1 meteorological data in the runoff simulation to a certain extent. |
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| Keywords: | CN05 1 SWAT model Applicability evaluation Precipitation correction method Kaidu River basin |
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