IMHE OpenIR  > 山地表生过程与生态调控重点实验室
Alternative TitleSimulating the Water-Heat Processes in Permafrost Regions in the Tibetan Plateau Based on CoupModel
张伟1; 王根绪2; 周剑3; 刘光生2; 王一博1
Corresponding Author张伟
Source Publication冰川冻土
Other Abstract



In recent years, ecological environment is deteriorating in permafrost regions of the Tibetan Plateau, which dramatically affects the water and heat processes between the earth and atmosphere. In addition, it is a key and hot research field in cold regions how to structure more effective land surface process mode. In Fenghuoshan basin of the plateau, the water and heat processes were simulated by using a land surface model CoupModel, on the basis of observed data sets from 2005 to 2008. The simulation reveals that the model is able to simulate soil temperatures well and capture all soil layer temperature fluctuation trends and all the Nash-Sutcliffe Model Efficiency Coefficient values between observed and simulated soil temperatures are over 0. 90. The mean error values display that the model overestimates the temperatures at 20~55 cm depths and underestimates the temperatures at 65~120 cm depths. The minimum root mean square error value is at 55 cm depth, where temperature fluctuation is less than that at the surface layers. Meanwhile, the model has the capacity of simulating soil water content in shallow layers (0 ~40 cm), where Nash-Sutcliffe Model Efficiency Coefficient value is between observed and simulated soil water content, above 0. 80. However, simulated soil water content is not very good below 40 cm depth, perhaps due to sharp slope. The model can also simulate preferably the freeze-thaw processes within the active layer. The simulation of the soil water content bellow 40 cm depth has a little deviation, and so does the simulation of extreme values of temperature and water content. What's more, as an effective parameter estimation method, Bayesian parameter estimation method has the ability to evaluate model parameters. In this research, parameters include those of meteorology, soil freezing, soil thermal transport, frozen soil and hydraulics. Thus, the simulation will be greatly improved. The Bayesian algorithm can be utilized to complete parameter estimation.

Keyword青藏高原 多年冻土区 水热过程 Bayes算法 参数估计
Subject AreaP642.14
Indexed ByCSCD ; 北大中文核心
Funding Organization国家杰出青年基金项目(40925002) ; 冻土国家重点实验室开放基金项目(SKLFSE201005) ; 国家自然科学基金项目(40730634 ; 41271092)
Citation statistics
Cited Times:21[CSCD]   [CSCD Record]
Document Type期刊论文
Recommended Citation
GB/T 7714
张伟,王根绪,周剑,等. 基于CoupModel的青藏高原多年冻土区土壤水热过程模拟[J]. 冰川冻土,2012,34(5):1099-1109.
APA 张伟,王根绪,周剑,刘光生,&王一博.(2012).基于CoupModel的青藏高原多年冻土区土壤水热过程模拟.冰川冻土,34(5),1099-1109.
MLA 张伟,et al."基于CoupModel的青藏高原多年冻土区土壤水热过程模拟".冰川冻土 34.5(2012):1099-1109.
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