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Research on Air Pollution Control Measures Based on System Dynamics A Case Study of Beijing
Author(s) -
Cuiyou Yao,
Tingting Wang,
Haiqing Cao,
Yibo Yang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/440/4/042038
Subject(s) - beijing , pollution , air pollution , control (management) , system dynamics , environmental science , environmental economics , energy consumption , environmental engineering , computer science , engineering , china , economics , geography , biology , ecology , chemistry , electrical engineering , archaeology , organic chemistry , artificial intelligence
In this paper, we construct a system dynamics model of the air pollution control measures. Simulation experiments predict the trend of PM2.5 concentration under different conditions. The conclusions of the study are as follows: firstly, the urgent task of controlling air pollution in Beijing is strictly control the value-added of high energy consumption and high pollution industries as well as vehicle restriction. Secondly, advocating afforestation and increasing financial support. In addition, the new restrictions for the motor vehicles with foreign brands to be implemented in Beijing in 2019 has a significant effect on air pollution control.

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