Fine-Grained Spatiotemporal Analysis of the Impact of Restricting Factories, Motor Vehicles, and Fireworks on Air Pollution
Yang, Mei; Fan, Hong; Zhao, Kang
2020-07
发表期刊INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
EISSN1660-4601
摘要Aiming at improving the air quality and protecting public health, policies such as restricting factories, motor vehicles, and fireworks have been widely implemented. However, fine-grained spatiotemporal analysis of these policies' effectiveness is lacking. This paper collected the hourly meteorological and PM(2.5)data for three typical emission scenarios in Hubei, Beijing-Tianjin-Hebei (BTH), and Yangtze River Delta (YRD). Then, this study simulated the PM(2.5)concentration under the same meteorological conditions and different emission scenarios based on a reliable hourly spatiotemporal random forest model (R2exceeded 0.84). Finally, we investigated the fine-grained spatiotemporal impact of restricting factories, vehicles, and fireworks on PM(2.5)concentrations from the perspective of hours, days, regions, and land uses, excluding meteorological interference. On average, restricting factories and vehicles reduced the PM(2.5)concentration at 02:00, 08:00, 14:00, and 20:00 by 18.57, 16.22, 25.00, and 19.07 mu g/m3, respectively. Spatially, it had the highest and quickest impact on Hubei, with a 27.05 mu g/m3decrease of PM(2.5)concentration and 17 day lag to begin to show significant decline. This was followed by YRD, which experienced a 23.52 mu g/m3decrease on average and a 23 day lag. BTH was the least susceptible; the PM(2.5)concentration decreased by only 8.2 mu g/m3. In addition, influenced by intensive human activities, the cultivated, urban, and rural lands experienced a larger decrease in PM(2.5)concentration. These empirical results revealed that restricting factories, vehicles, and fireworks is effective in alleviating air pollution and the effect showed significant spatiotemporal heterogeneity. The policymakers should further investigate influential factors of hourly PM(2.5)concentrations, combining with local geographical and social environment, and implement more effective and targeted policies to improve local air quality, especially for BTH and the air quality at morning and night.
关键词particulate matter public health air quality random forest COVID-19
DOI10.3390/ijerph17134828
WOS关键词PARTICULATE MATTER PM2.5 ; SOURCE APPORTIONMENT ; CONTROL POLICIES ; RIVER DELTA ; CHINA ; EMISSIONS ; MODEL ; CIRCULATIONS ; MITIGATION ; ELEMENTS
WOS研究方向Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
WOS类目Environmental Sciences ; Public, Environmental & Occupational Health
出版者MDPI
引用统计
文献类型期刊论文
专题新冠肺炎
循证社会科学证据集成
作者单位Wuhan Univ
推荐引用方式
GB/T 7714
Yang, Mei,Fan, Hong,Zhao, Kang. Fine-Grained Spatiotemporal Analysis of the Impact of Restricting Factories, Motor Vehicles, and Fireworks on Air Pollution[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2020.
APA Yang, Mei,Fan, Hong,&Zhao, Kang.(2020).Fine-Grained Spatiotemporal Analysis of the Impact of Restricting Factories, Motor Vehicles, and Fireworks on Air Pollution.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH.
MLA Yang, Mei,et al."Fine-Grained Spatiotemporal Analysis of the Impact of Restricting Factories, Motor Vehicles, and Fireworks on Air Pollution".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2020).
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Yang-2020-Fine-Grain(4769KB)期刊论文出版稿开放获取CC BY-NC-SA浏览 下载
个性服务
查看访问统计
谷歌学术
谷歌学术中相似的文章
[Yang, Mei]的文章
[Fan, Hong]的文章
[Zhao, Kang]的文章
百度学术
百度学术中相似的文章
[Yang, Mei]的文章
[Fan, Hong]的文章
[Zhao, Kang]的文章
必应学术
必应学术中相似的文章
[Yang, Mei]的文章
[Fan, Hong]的文章
[Zhao, Kang]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Yang-2020-Fine-Grained Spatiotemporal Analysis.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。

元出版是什么?

元出版是融合预印本出版、数据出版、结构化信息出版等当前开放出版实践与理念为一体的开放出版新模式,旨在提供一个科学工作者完全融入的泛在沉浸式开放知识交流机制。

MetaPub团队

  • 关于我们
  • 编委会
  • 审稿专家
  • 编辑部

开放研究

  • 学科领域
  • 入驻期刊
  • 入驻会议
  • 开放数据集

帮助

  • 元作品投稿流程
  • 元作品写作要求
  • 元作品出版声明
  • 元作品出版标准
  • 审稿注意事项
地址:四川天府新区群贤南街289号 邮编:610299 电子邮箱:liucj@clas.ac.cn
版权所有 蜀ICP备05003827号