Acta Geographica Sinica ›› 2014, Vol. 69 ›› Issue (1): 90-99.doi: 10.11821/dlxb201401009

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Comparison of LCM hydrological models with lumped, semi-distributed and distributed building structures in typical watershed of Yellow River Basin

ZHANG Yichi1, LIU Changming2,3, YANG Shengtian1, LIU Xiaoyan4, CAI Mingyong1, DONG Guotao5, LUO Ya1,6   

  1. 1. State Key Laboratory of Remote Sensing Science, School of Geography, Beijing Normal University, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing 100875, China;
    2. Institute of Water Science, Beijing Normal University, Beijing 100875, China;
    3. Key Laboratory of Land Water Cycle and Surface Process, CAS, at IGSNRR, Beijing 100101, China;
    4. Yellow River Conservancy Commission, Zhengzhou 450003, China;
    5. Yellow River Institute of Hydraulic Research, Zhengzhou 450003, China;
    6. School of Geographic and Environmental Sciences, Guizhou Normal University, Guiyang 550001, China
  • Received:2013-10-12 Revised:2013-11-08 Online:2014-01-20 Published:2014-01-20
  • Contact: 刘昌明(1934-),男,院士,中国地理学会名誉理事长(S110001654H),主要研究方向:水文水资源学。
  • Supported by:
    National Key Technologies R&D Program, No.2012BAB02B00; Public Welfare Fund of the Ministry of Water Resources of China, No.201101037; The Fundamental Research Funds for the Central Universities

Abstract: The distribution of rainstorm center is critical factor influencing the simulation accuracy of rainstorm runoff process. There are significant differences among the varying discretization responding to rainfall heterogeneities, thus it is important to improve simulation efficiency and accuracy by selecting appropriate discretization methods for reducing the influence of rainfall heterogeneity. For this, the LCM model which deduced from the unsaturated infiltration theory in Loess Plateau by Liu Changming was modeled in three ways: lumped, semi-distributed and distributed. The simulation results indicate that: the NSE with distributed method arrives at 0.81 and correlation coefficient attains 0.82 which shows the best fitness to gauge data. Comparatively, NSE of semi-distributed method arrives at 0.78, while the fitness to main peak of outlet stream-flow reaches 76.1% and 65.8%. Generally, distributed method shows the highest simulation accuracy, lumped method owns the highest calculation efficiency, and semi-distributed method indicates high simulation accuracy, and high calculation efficiency at the same time. So, spatial discretization of modeling is helpful to reduce the influence of rainfall heterogeneity and to improve simulation accuracy of LCM model, but it will consume more time. Thus, it is appropriate to select suitable spatial discretization methods according to the application requirements.

Key words: rainfall heterogeneity, distributed modeling, Yellow River, LCM model, storm runoff