Modeling on Regional Atmosphere-Soil-Land Plant Carbon Cycle Dynamic System
Modeling on Regional Atmosphere-Soil-Land Plant Carbon Cycle Dynamic System
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DOI：
10.3390/su8040303
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发表时间：
2016-03
期刊：
影响因子：
3.9
通讯作者：
Min Fu;L. Tian;Gaogao Dong;Ruijin Du;Peipei Zhou;Minggang Wang
中科院分区：
文献类型：
--
作者：
Min Fu;L. Tian;Gaogao Dong;Ruijin Du;Peipei Zhou;Minggang Wang
本文在分析大气循环、土壤循环和土地循环之间碳通量关系的基础上，建立了非线性碳循环模型。采用非线性动力学方法，研究了区域碳循环随区域碳通量的时间演变规律。利用神经网络对模型的参数进行识别。在数值研究中，提出了南京市大气-土壤-土地循环模型。然后，利用所建立的模型和实际数据对南京市碳循环演化进行了模拟。
This paper establishes a nonlinear carbon cycle model based on the analysis of the carbon flux relationship among the atmosphere cycle, soil cycle and land cycle. By using nonlinear dynamics method, we examine the regional carbon cycle evolution along with the temporal evolution of the regional carbon flux. A neural network has been employed to identify the parameters of the proposed model, accordingly. In the numerical study, we propose the atmosphere-soil-land cycle model for Nanjing city of China. Then, the carbon cycle evolution of Nanjing has been simulated with the given model and actual data.