4.7 Article

Modelling driving factors of PM2.5 concentrations in port cities of the Yangtze River Delta

期刊

MARINE POLLUTION BULLETIN
卷 184, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.marpolbul.2022.114131

关键词

-

资金

  1. Key Project of Soft Science of Shanghai Science and Technology Innovation Action Plan [20692192800]
  2. Shanghai Philosophy and Social Science Planning Project [2020BGL036]

向作者/读者索取更多资源

This study investigated the driving factors of PM2.5 in port cities of the Yangtze River Delta in China. NO2, SO2, and the day of year were found to be strongly associated with PM2.5 concentration. Anthropogenic emissions had complex roles in regulating PM2.5 concentration, and higher levels of SO2 and cargo throughput were associated with higher PM2.5 levels. This research provides a scientific basis for formulating PM2.5 prevention and control policies in the region.
PM2.5 is one of the major air pollutants in port cities of the Yangtze River Delta (YRD) of China. Understanding the driving factors of PM2.5 is essential to guide air pollution prevention and control. We selected 17 major port cities in YRD to study the driving factors of PM2.5 in 2019 and 2020. Generalized Additive Models were built to model the non-linear effects of single, multiple and interactions of driving factors on the variations of PM2.5. NO2, SO2 and the day of year are most strongly associated with the variation of PM2.5 concentration when used alone. Anthropogenic emissions play complicated roles in regulating PM2.5 concentration. Although the effect of cargo throughput (CT) on PM2.5 concentration is non-monotonic, higher PM2.5 levels are found to be associated with higher levels of SO2 and CT. This work can potentially provide a scientific basis for formulating PM2.5 prevention and control policies in the region.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据