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Sustainability 2016, 8(4), 303;

Modeling on Regional Atmosphere-Soil-Land Plant Carbon Cycle Dynamic System

1,2,* , 1,†
Energy Development and Environmental Protection Strategy Research Center, Faculty of Science, Jiangsu University, Zhenjiang 212013, China
School of Mathematical Science, Nanjing Normal University, Nanjing 210042, China
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Academic Editor: Fausto Cavallaro
Received: 2 January 2016 / Revised: 4 March 2016 / Accepted: 16 March 2016 / Published: 25 March 2016
Full-Text   |   PDF [771 KB, uploaded 25 March 2016]   |  


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. View Full-Text
Keywords: Nonlinear carbon cycle model; atmosphere-soil-land cycle model; the carbon cycle evolution Nonlinear carbon cycle model; atmosphere-soil-land cycle model; the carbon cycle evolution

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Fu, M.; Tian, L.; Dong, G.; Du, R.; Zhou, P.; Wang, M. Modeling on Regional Atmosphere-Soil-Land Plant Carbon Cycle Dynamic System. Sustainability 2016, 8, 303.

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