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Forecasting of sulfur dioxide emissions in China based on optimized DGM(1,1)

机译:基于优化DGM的中国二氧化硫排放量预测(1,1)

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Sulfur dioxide is an important source of atmospheric pollution. It is harmful to ecosystems, buildings and humans. Many countries are developing policies to reduce sulfur dioxide emissions. In this paper, prediction of China's sulfur dioxide emissions is studied by discrete grey model with fractional operators. The forecast result shows that the amount of sulfur dioxide emissions is steadily decreasing and the reduction policy in China is effective. According to the current trend, by 2020, the value of China's sulfur dioxide emissions will be only 86.843% of emissions in 2015.
机译:二氧化硫是大气污染的重要来源。它对生态系统,建筑物和人类有害。许多国家正在制定减少二氧化硫排放量的政策。本文采用带分数算子的离散灰色模型对中国二氧化硫排放量的预测进行了研究。预测结果表明,二氧化硫排放量正在稳定减少,中国的减排政策是有效的。按照目前的趋势,到2020年,中国二氧化硫排放量将仅占2015年排放量的86.843%。

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