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RSS FeedsIJERPH, Vol. 16, Pages 2504: Employing a Fuzzy-Based Grey Modeling Procedure to Forecast China`s Sulfur Dioxide Emissions (International Journal of Environmental Research and Public Health)

 
 

13 july 2019 12:00:05

 
IJERPH, Vol. 16, Pages 2504: Employing a Fuzzy-Based Grey Modeling Procedure to Forecast China`s Sulfur Dioxide Emissions (International Journal of Environmental Research and Public Health)
 




Effective determination of trends in sulfur dioxide emissions facilitates national efforts to draft an appropriate policy that aims to lower sulfur dioxide emissions, which is essential for reducing atmospheric pollution. However, to reflect the current situation, a favorable emission reduction policy should be based on updated information. Various forecasting methods have been developed, but their applications are often limited by insufficient data. Grey system theory is one potential approach for analyzing small data sets. In this study, an improved modeling procedure based on the grey system theory and the mega-trend-diffusion technique is proposed to forecast sulfur dioxide emissions in China. Compared with the results obtained by the support vector regression and the radial basis function network, the experimental results indicate that the proposed procedure can effectively handle forecasting problems involving small data sets. In addition, the forecast predicts a steady decline in China’s sulfur dioxide emissions. These findings can be used by the Chinese government to determine whether its current policy to reduce sulfur dioxide emissions is appropriate.


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44 viewsCategory: Medicine, Pathology, Toxicology
 
IJERPH, Vol. 16, Pages 2503: The Transfer Characteristics of Potentially Toxic Trace Elements in Different Soil-Rice Systems and Their Quantitative Models in Southeastern China (International Journal of Environmental Research and Public Health)
IJERPH, Vol. 16, Pages 2501: Video Display Operator Complaints: A 10-Year Follow-Up of Visual Fatigue and Refractive Disorders (International Journal of Environmental Research and Public Health)
 
 
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