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cje ›› 2011, Vol. 30 ›› Issue (02): 408-414.

• Articles • Previous Articles    

Using simulated annealing algorithm to optimize the parameters of Biome-BGC model.

ZHANG Ting-long1,2,3, SUN Rui1,2,3**, HU Bo4, FENG Li-chao1,2,3   

  1. 1State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences, Beijing 100875, China|2School of Geography and Remote Sensing Sciences, Beijing Normal University, Beijing 100875, China|3Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing 100875, China|4Ningbo Meteorological Bureau, Ningbo 315012, Zhejiang, China
  • Online:2011-02-08 Published:2011-02-08

Abstract: Ecological process model based on defined mechanism can well simulate the dynamic behaviors and features of terrestrial ecosystem, but could become a bottleneck in application because of numerous parameters needed to be confirmed. In this paper, simulated annealing algorithm was used to optimize the physiological and ecological parameters of Biome-BGC model. The first step was to choose some of these parameters to optimize, and then, gradually optimized these parameters. By using the optimized parameters, the model simulation results were much more close to the observed data, and the parameter optimization could effectively reduce the uncertainty of model simulation. The parameter optimization method used in this paper could provide a case and an idea for the parameter identification and optimization of ecological process models, and also, help to expand the application area of the models.

Key words: Solid organic waste, Composting, Stability, Maturity, Evaluation