...
首页> 外文期刊>International Journal of Environmental Research and Public Health >Socioeconomic Drivers of PM2.5 in the Accumulation Phase of Air Pollution Episodes in the Yangtze River Delta of China
【24h】

Socioeconomic Drivers of PM2.5 in the Accumulation Phase of Air Pollution Episodes in the Yangtze River Delta of China

机译:长江三角洲空气污染累积阶段PM2.5的社会经济驱动力

获取原文
           

摘要

Recent studies in PM2.5 sources show that anthropogenic emissions are the main contributors to haze pollution. Due to their essential roles in establishing policies for improving air quality, socioeconomic drivers of PM2.5 levels have attracted increasing attention. Unlike previous studies focusing on the annual PM2.5 concentration (Cyear), this paper focuses on the accumulation phase of PM2.5 during the pollution episode (PMAE) in the Yangtze River Delta in China. This paper mainly explores the spatial variations of PMAE and its links to the socioeconomic factors using a geographical detector and simple linear regression. The results indicated that PM2.5 was more likely to accumulate in more developed cities, such as Nanjing and Shanghai. Compared with Cyear, PMAE was more sensitive to socioeconomic impacts. Among the twelve indicators chosen for this study, population density was an especially critical factor that could affect the accumulation of PM2.5 dramatically and accounted for the regional difference. A 1% increase in population density could cause a 0.167% rise in the maximal increment and a 0.214% rise in the daily increase rate of PM2.5. Additionally, industry, energy consumption, and vehicles were also significantly associated with PM2.5 accumulation. These conclusions could serve to remediate the severe PM2.5 pollution in China.
机译:对PM2.5来源的最新研究表明,人为排放是造成霾污染的主要因素。由于其在制定改善空气质量的政策中的重要作用,PM2.5水平的社会经济驱动因素已引起越来越多的关注。与以前的研究关注年度PM2.5浓度(Cyear)不同,本文关注的是中国长江三角洲污染事件(PMAE)期间PM2.5的积累阶段。本文主要使用地理检测器和简单线性回归来探讨PMAE的空间变化及其与社会经济因素的联系。结果表明,PM2.5更有可能在南京和上海等较发达的城市中积累。与Cyear相比,PMAE对社会经济影响更为敏感。在这项研究选择的十二个指标中,人口密度是一个特别关键的因素,它可能会显着影响PM2.5的积累并解释区域差异。人口密度增加1%,可能导致最大增加量增加0.167%,PM2.5的每日增加量增加0.214%。此外,工业,能源消耗和车辆也与PM2.5累积显着相关。这些结论可用于补救中国严重的PM2.5污染。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号