Abstract—Integration has become an efficient method in
nature resources assessment and management along with the
need of achieving the goal of sustainable natural resource
management. The physically based cold regions hydrological
modeling platform (CRHM) was used to create two cold region
hydrological models for Binggou watershed, located in
northwestern of China and Zuomaokong watershed, located in
the hinterland of the Qinghai-Tibet plateau. To evaluate CRHM,
simulations of snow depth with/without sublimation module
compared to observations were carried out in Binggou
watershed. Another comparison which aimed at finding out
what influence the frozen soil has to runoff was implemented in
Zuomaokong watershed. The model performance in predicting
snow depth and runoff was evaluated against field observations.
Root-mean-square error (RMSE) between simulation and
observations ranged from 0.067949 to 0.076158 for the
simulated snow depth in 2007/2008, with higher RMSE in the
simulation that the sublimation module was used. The model
was able to capture the timing and magnitude of peak autumn
basin discharge, but it underestimated the basin discharge
without the frozen soil module included in spring 2008 and 2009,
respectively. The results suggest prediction of northwestern of
China snow hydrology is possible with no calibration if
physically based models are used with physically meaningful
model parameters that are derived from high resolution
geospatial data.
Index Terms—Binggou watershed, CRHM method,
simulation.
Liu Yang and Yang Yongchun are with the Key Laboratory of Western
China's Environmental Systems, Lanzhou University, Lanzhou 730000,
China (e-mail: feiyang7899@163.com, yangych@lzu.edu.cn).
Zhang Ke is with the School of Information Science and Engineering,
Lanzhou University, Lanzhou 730000, China (e-mail: tifiyang@
gamil.com).
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Cite: Liu Yang, Yang Yongchun, and Zhang Ke, " Simulation of Snowmelt and Runoff Based on Component
in Northwest of China," International Journal of Social Science and Humanity vol. 4, no. 3, pp. 164-169, 2014.