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Frontiers in Educational Research, 2020, 3(8); doi: 10.25236/FER.2020.030801.

Prediction of white pollution problem based on Logistic model


Yuting Wang 1,*, Xinxin Li 1, Tianjiao Li 2

Corresponding Author:
Yuting Wang

1 College of Hydraulic and Environmental Engineering, Three Gorges University, Yichang Hubei 443002, China
2 College of Electrical Engineering & New Energy, Three Gorges University, Yichang Hubei 443002, China
*Corresponding Author: E-mail: [email protected]


In order to get the environmental carrying capacity,a logistic function model of waste accumulation and time was established in this paper. In order to optimize the model, other influencing factors were further considered. Finally, combining a set of parameters which have already been known, we get a maximum plastic product waste that the environment can tolerate. Then this paper established the DPSIR model as a react to analyzing at what level can plastic waste be decreased so as to reach environmental safety. The results show that after the implementation of some measures to restrict plastics, China's environment has improved significantly, with white pollution dropping by 33.3%, stimulating the rise of the domestic waste recycling industry and the steady growth of the entire domestic economy.


logistic model, dpsir model, analogical analys

Cite This Paper

Yuting Wang, Xinxin Li, Tianjiao Li. Prediction of white pollution problem based on Logistic model. Frontiers in Educational Research (2020) Vol. 3 Issue 8: 1-5. https://doi.org/10.25236/FER.2020.030801.


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