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基于蒸散发数据同化的径流过程模拟
引用本文:王卫光,李进兴,魏建德,邵全喜,邓超,余钟波.基于蒸散发数据同化的径流过程模拟[J].水科学进展,2018,29(2):159-168.
作者姓名:王卫光  李进兴  魏建德  邵全喜  邓超  余钟波
作者单位:1.河海大学水文水资源与水利工程科学国家重点实验室, 江苏南京 210098;
基金项目:国家自然科学基金资助项目(51779073)
摘    要:采用集合卡尔曼滤波算法,以遥感反演的蒸散发作为观测数据,构建一种基于新安江模型的蒸散发同化系统;根据同化后的蒸散发,采用粒子群算法估计新安江模型的土壤张力水蓄量,进而改进模型的径流模拟效果。选取地表能量平衡系统模型进行汉江流域蒸散发(ETSEBS)反演,采用基于GRACE水储量距平数据的水量平衡蒸散发(ETGRACE)进行验证,结果显示ETSEBS总体表现好于蒸散发产品ETGLDAS、ETZhang、ETMODIS,且相关系数(R)、均方根误差(ERMS)、偏差(B)为0.93、11.93 mm/月、-3.47 mm/月,表明SEBS模型能够较好地估算蒸散发。将同化方案在旬河流域进行应用,结果显示同化后径流的纳什效率系数(ENS)为0.85,较同化前0.81明显提高,且模型对枯水期径流的低估问题有一定改善,对径流峰值模拟效果提高明显。

关 键 词:蒸散发    SEBS模型    新安江模型    集合卡尔曼滤波    径流模拟
收稿时间:2017-09-30

Runoff simulation by hydrological model based on the assimilated evapotranspiration
WANG Weiguang,LI Jinxing,WEI Jiande,SHAO Quanxi,DENG Chao,YU Zhongbo.Runoff simulation by hydrological model based on the assimilated evapotranspiration[J].Advances in Water Science,2018,29(2):159-168.
Authors:WANG Weiguang  LI Jinxing  WEI Jiande  SHAO Quanxi  DENG Chao  YU Zhongbo
Affiliation:1.State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;2.Power China Beijing Engineering Corporation Limited, Beijing 100024, China;3.CSIRO, Canberra, WA 6014, Australia
Abstract:A new evapotranspiration data assimilation system was proposed by using the ensemble Kalman filter to assimilate the remote sensing evapotranspiration and simulated evapotranspiration by the Xin'anjiang model. The assimilated evapotranspiration was then used to estimate the soil moisture content in Xin'anjiang model via Particle Swarm Optimization (PSO) to improve the accuracy of runoff simulation. The Hanjiang River basin in China was used as a case study. The remote sensing evapotranspiration (ETSEBS) based on the surface energy balance system model (SEBS) was validated by the water balance evapotranspiration (ETGRACE) calculated through the water balance equation based on the GRACE water storage anomaly data, and compared with the other evapotranspiration productions (i.e., ETGLDAS, ETZhang and ETMODIS). The results showed that ETSEBS outperformed the other evapotranspiration productions when ETGRACE was used as the reference evapotranspiration, with three statistical criterion (R, ERMSand B values of 0.93, 11.93 mm/month and -3.47 mm/month, respectively. Furthermore, the proposed assimilation system was applied to the Xunhe River basin, a tributary of Hanjiang River. The results indicated that during the period 2005-2007, the Nash-Sutcliffe efficiency coefficient (ENS) was 0.85, which was higher than the ENS value of 0.81 without assimilation, and the evapotranspiration assimilation system improved the accuracy for runoff simulation with a slightly improvement during the drought period and a remarkable improvement during wet period, particularly for the peak values.
Keywords:evapotranspiration  SEBS model  Xin'anjiang model  ensemble Kalman filter  runoff simulation  
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