Volume 10 Issue 1
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Jun Li, Chang-ming Liu. 2017: Improvement of LCM model and determination of model parameters at watershed scale for flood events in Hongde Basin of China. Water Science and Engineering, 10(1): 36-42. doi: 10.1016/j.wse.2017.03.006
Citation: Jun Li, Chang-ming Liu. 2017: Improvement of LCM model and determination of model parameters at watershed scale for flood events in Hongde Basin of China. Water Science and Engineering, 10(1): 36-42. doi: 10.1016/j.wse.2017.03.006
shu

Improvement of LCM model and determination of model parameters at watershed scale for flood events in Hongde Basin of China

doi: 10.1016/j.wse.2017.03.006

  • a Key Laboratory of Mountain Hazards and Earth Surface Processes, Institute of Mountain Hazards and Environment,            Chinese Academy of Sciences, Chengdu 610041, China

  • b Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

Funds:  This work was supported by the National Natural Science Foundation of China (Grants No. 41271048 and 41330529)
More Information
  • Corresponding author: Jun Li
  • Received Date: 2016-07-12
  • Rev Recd Date: 2016-10-10
    Abstract
  • Considering the fact that the original two-parameter LCM model can only be used to investigate rainfall losses during the runoff period because the initial abstraction is not included, the LCM model was redefined as a three-parameter model, including the initial abstraction coefficient  , the initial abstraction  , and the rainfall loss coefficient R. The improved LCM model is superior to the original two-parameter model, which only includes r and R, where r is the initial rainfall loss index and can be calculated with   using the Soil Conservation Service curve number (SCS-CN) method, with  . The trial method was used to determine the parameter values of the improved LCM model at the watershed scale for 15 flood events in the Hongde Basin in China. The results show that larger r values are associated with smaller R values, and the parameter R ranges widely from 0.5 to 2.0. In order to improve the practicability of the LCM model,   with   is reasonable for simplifying calculation. When the LCM model is applied to arid and semi-arid regions, rainfall without yielding runoff should be deducted from the total rainfall for more accurate estimation of rainfall-runoff.

     

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