人口和一次能源消费对 67 个国家空气污染物的影响

Yongtong Li, Lifeng Wu
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摘要

空气污染是当今世界最紧迫的环境问题之一。为了预测 67 个国家的空气质量,考虑到人口和一次能源消耗量等影响因素,提出了一个不等阶指数累积灰色多元模型来预测 PM2.5 浓度。预测结果表明,南亚和东南亚是亚洲污染最严重的地区。东欧和中欧是欧洲污染最严重的地区。北非和西非是非洲污染最严重的地区。就空气质量而言,大洋洲是最好的大洲。北美洲的空气质量在未来几年可能会恶化。南美洲的情况也不容乐观。本研究的结果可为政府提供调整当地环境政策的依据,以改善空气质量。公众可以应对空气污染并采取适当的预防措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of population and primary energy consumption on air pollutants of 67 countries
Air pollution is one of the most pressing environmental issues in the world today. To predict the air quality of 67 countries, considering the influence factors including population and primary energy consumption, an unequal-order exponential cumulative grey multivariate model is proposed to predict the PM2.5 concentrations. The prediction results show that South and Southeast Asia are the most polluted regions in Asia. Eastern and Central Europe are the most polluted regions in Europe. North and West Africa are the most polluted regions in Africa. In terms of air quality, Oceania is the best continent. Air quality in North America is likely to deteriorate in the coming years. The situation in South America is also not optimistic. The results of this study can provide the government with a basis to adjust the local environmental policy in order to improve air quality. The public can deal with air pollution and take appropriate precautions.
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