Journal of Jilin University(Earth Science Edition) ›› 2017, Vol. 47 ›› Issue (5): 1502-1510.doi: 10.13278/j.cnki.jjuese.201705204

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Adaptability Analysis of the Application of SIMHYD Model in the Songhua River Basin

Li Hongyan1, Li Yue1, Liu Haiqiong1, Wang Xiaojun2,3, Wang Shijie1, Wang Ao4   

  1. 1. College of Environment and Resources, Jilin University, Changchun 130021, China;
    2. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China;
    3. Research Center of Climate Change, MWR, Nanjing 210029, China;
    4. Changchun Branch of Hydrology and Water Resources Bureau of Jilin Province, Changchun 130022, China
  • Received:2016-12-30 Online:2017-09-26 Published:2017-09-26
  • Supported by:
    Supported by National Natural Science Foundation of China (51379088)

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Abstract: In recent years, the conceptual hydrological model has been widely used in hydrological forecasting. In order to explore the adaptability of SIMHYD model in the Songhua River basin, and provide the basis for flood control and reservoir control in flood season, we selected the Shihuiyao section located in the upper Nenjiang and the Baishan section located in the upstream of the second Songhua River to simulate the daily runoff of flood period. The results show that there are regional differences of the application of the model in the Songhua River basin:For the Shihuiyao collection area, the Nash-Sutcliffe coefficient is 0.501 in calibration period, and 0.158 in verification period, poor adaptability of the model; For Baishan collection area, the Nash-Sutcliffe coefficient is 0.777 in calibration period, and 0.729 in verification period, good adaptability of the model. There is a big error for the simulation of flood peaks, which is mainly caused by that the model does not take into account the uneven space-time distribution of runoff generation and the calculation process of river concentration.

Key words: SIMHYD model, Songhua River basin, flood period, adaptability analysis

CLC Number: 

  • P338.1
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