| WRF-Hydro模型与新安江模型在陈河流域的应用对比 |
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| 引用本文： | 孙明坤,李致家,刘志雨,侯爱中,霍文博,温娅惠,孔祥意,戴金旺,梁世强.WRF-Hydro模型与新安江模型在陈河流域的应用对比[J].湖泊科学,2020,32(3):850-864. |
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| 作者姓名： | 孙明坤 李致家 刘志雨 侯爱中 霍文博 温娅惠 孔祥意 戴金旺 梁世强 |
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| 作者单位： | 河海大学水文水资源学院,南京210098;河海大学水文水资源学院,南京210098;水利部信息中心(水利部水文水资源监测预报中心),北京100053;水利部信息中心(水利部水文水资源监测预报中心),北京100053;河海大学水文水资源学院,南京210098;黄河水利委员会河南水文水资源局,郑州450003;河海大学水文水资源学院,南京210098;宁波市镇海区建筑(交通)工程安全质量管理站,宁波315202;河海大学水文水资源学院,南京210098;北京水文总站,北京100089 |
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| 基金项目： | 国家自然科学基金项目（51679061）、国家重点研发计划项目（2016YFC0402705，2018YFC1508101）、宁夏重点研发计划项目（2018BEG02010）和中央高校基本科研业务费专项（2016B04714）联合资助. |
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| 摘 要： | 本文利用全球陆面数据同化系统与降雨观测数据,以陕西半湿润区陈河流域为研究对象,驱动WRF-Hydro模型,研究该模型的表现和适用性,并在结构、参数、输入输出和模拟结果方面与新安江模型对比.考虑到次表面层与实际包气带的区别,引入土层厚度乘子ZSOILFAC对前者进行等比缩放,发现其与新安江模型反推包气带的厚度有较好的一致性.研究表明:在陈河流域中WRF-Hydro计算步长须在建议值的基础上缩小; WRF-Hydro模型善于模拟洪水细节,新安江模型表现好且稳定;前者的径流深和洪峰合格率平于或略低于后者;在两个指标均合格的洪水中,前者平均均方根误差比后者小21.5%,但对于其他洪水,前者平均均方根误差比后者大56.2%; WRF-Hydro在洪水起涨时刻模拟较好,表现出其在中小流域应用的潜力.
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| 关 键 词： | WRF-Hydro模型系统 新安江模型 洪水模拟 分布式模型 陆气耦合模型 GLDAS再分析数据 陈河流域 |
| 收稿时间： | 2019/6/13 0:00:00 |
| 修稿时间： | 2019/10/12 0:00:00 |
Application of WRF-Hydro modeling system in Chenhe Basin and comparison with Xin'anjiang model |
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| SUN Mingkun,LI Zhiji,LIU Zhiyu,HOU Aizhong,HUO Wenbo,Wen Yahui,KONG Xiangyi,DAI Jinwang and LIANG Shiqiang.Application of WRF-Hydro modeling system in Chenhe Basin and comparison with Xin''anjiang model[J].Journal of Lake Science,2020,32(3):850-864. |
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| Authors: | SUN Mingkun LI Zhiji LIU Zhiyu HOU Aizhong HUO Wenbo Wen Yahui KONG Xiangyi DAI Jinwang and LIANG Shiqiang |
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| Institution: | College of Hydrology and Water Resources, Hohai University, Nanjing 210098, P. R. China,College of Hydrology and Water Resources, Hohai University, Nanjing 210098, P. R. China,College of Hydrology and Water Resources, Hohai University, Nanjing 210098, P. R. China;Information Center(Hydrology Monitor and Forecast Center), Ministry of Water Resources, Beijing 100053, P. R. China,Information Center(Hydrology Monitor and Forecast Center), Ministry of Water Resources, Beijing 100053, P. R. China,College of Hydrology and Water Resources, Hohai University, Nanjing 210098, P. R. China,College of Hydrology and Water Resources, Hohai University, Nanjing 210098, P. R. China;Henan Bureau of Hydrology and Water Resources, Yellow River Conservancy Commission, Zhengzhou 450003, P. R. China,College of Hydrology and Water Resources, Hohai University, Nanjing 210098, P. R. China,College of Hydrology and Water Resources, Hohai University, Nanjing 210098, P. R. China;Construction(Transportation) Project Safety and Quality Supervision Station of Zhenhai District, Ningbo 315202, P. R. China and College of Hydrology and Water Resources, Hohai University, Nanjing 210098, P. R. China;Beijing Hydraulic Center, Beijing 100089, P. R. China |
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| Abstract: | The WRF-Hydro modeling system (WRF-Hydro model) was used for flood forecast in semi-humid small and medium catchment in China, proposed by the National Center for Atmospheric Research Center (NCAR) in 2013. The Global Land Data Assimilated System (GLDAS) and observed rainfall data are adopted to drive WRF-Hydro model in Chenhe Basin located in the south-central Shanxi Province. This study examine the practical features and applicability of the model, and also compare with Xin''anjiang (XAJ) model in structure, parameters, inputs & outputs and simulation results. Given the excessive time consume in model running, the stepwise approach for calibration is used for five main parameters in this study. The multiplier for subsurface layer thickness (ZSOILFAC) is introduced to modify this thickness to establish contact between subsurface layer and aeration zone to meet the actual situation of the basin, and the good agreement between subsurface layer modified by ZSOILFAC and the aeration thickness evaluated by XAJ model is achieved. The results show that the time step is supposed to be reduced from 6 s recommended by User''s Guidance to 1 s when spatial resolution of routing grid is 100 m in Chenhe Basin. WRF-Hydro model is good at simulating the details of flood, while XAJ model performs well and stably. The qualified rates of runoff depth and flood peak for the former are equal or slightly inferior to those for the latter. The mean root mean square Error (RMSE) of the former is 21.5% less than that of the latter for the flood events with qualified runoff depth and flood peak; while mean RMSE of the former is 56.2% greater than that of the latter for others. WRF-Hydro model has good skills in simulating the start time of observed hydrograph and has promising potential for hydrological simulation, flood forecasting and water resources evaluation for small- and medium-sized catchments. |
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| Keywords: | WRF-Hydro model XAJ model flood simulation distributed hydrological model coupling atmosphere-hydrological model GLDAS reanalysis data Chenhe Basin |
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