Title :
System Dynamics Modeling and Simulation of China´s SO2 Emission Trading Policy
Author :
Liao, Xianling ; Li, Xiuli ; Zhang, Bingxuan
Author_Institution :
Sch. of Manage., Shandong Univ. of Sci. & Technol., Qingdao, China
Abstract :
Based on the theory and method of system dynamics, we establish a China´s SO2 emission trading policy model which includes SO2 pollution subsystem, policy implementation subsystem and policy effect of evaluation subsystem, and test the model from historical data and parameter sensitivity. And then, using Vensim software, annual SO2 emissions and policy effect of SO2 emission trading are simulated running from 2000 to 2020. The testing results indicate that the model has high precision and accuracy, and simulation results show that the contribution of trading policy to controlling SO2 emission total amount will increase steadily form 2011, This conclusions will provide decision-making bases for designing and optimizing SO2 pollution control policies in China.
Keywords :
decision making; pollution control; China SO2 emission trading policy; SO2; SO2 pollution control policy; Vensim software; decision making; parameter sensitivity; policy implementation subsystem; system dynamics modeling; Computers; Distributed control; Monitoring; SO2 pollution; Simulation; emission trading policy; system dynamics modeling;
Conference_Titel :
Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2011 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-61284-278-3
Electronic_ISBN :
978-0-7695-4350-5
DOI :
10.1109/CDCIEM.2011.150