Modeling on Regional Atmosphere-Soil-Land Plant Carbon Cycle Dynamic System
Min Fu,
Lixin Tian,
Gaogao Dong,
Ruijin Du,
Peipei Zhou and
Minggang Wang
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Min Fu: Energy Development and Environmental Protection Strategy Research Center, Faculty of Science, Jiangsu University, Zhenjiang 212013, China
Lixin Tian: Energy Development and Environmental Protection Strategy Research Center, Faculty of Science, Jiangsu University, Zhenjiang 212013, China
Gaogao Dong: Energy Development and Environmental Protection Strategy Research Center, Faculty of Science, Jiangsu University, Zhenjiang 212013, China
Ruijin Du: Energy Development and Environmental Protection Strategy Research Center, Faculty of Science, Jiangsu University, Zhenjiang 212013, China
Peipei Zhou: Energy Development and Environmental Protection Strategy Research Center, Faculty of Science, Jiangsu University, Zhenjiang 212013, China
Minggang Wang: School of Mathematical Science, Nanjing Normal University, Nanjing 210042, China
Sustainability, 2016, vol. 8, issue 4, 1-18
Abstract:
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.
Keywords: Nonlinear carbon cycle model; atmosphere-soil-land cycle model; the carbon cycle evolution (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:8:y:2016:i:4:p:303-:d:66508
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