Spatiotemporal Characteristics of Air Quality across Weifang from 2014-2018.

Clicks: 200
ID: 41632
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #703 of 862 articles by views in International journal of environmental research and public health

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 862 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Air pollution has become a severe threat and challenge in China. Focusing on air quality in a heavily polluted city (Weifang Cty), this study aims to investigate spatial and temporal distribution characteristics of air pollution and identify the influence of weather factors on primary pollutants in Weifang over a long period from 2014-2018. The results indicate the annual Air quality Index (AQI) in Weifang has decreased since 2014 but is still far from the standard for excellent air quality. The primary pollutants are O (Ozone), PM (Particles with aerodynamic diameter ≤10 µm), and PM (Particles with aerodynamic diameter ≤10 µm); the annual concentrations of PM and PM show a significant reduction but that of O is basically unchanged. Seasonally, PM and PM show a U-shaped pattern, while O exhibits inverted U-shaped variations, and different pollutants also present different characteristics daily. Spatially, O exhibits a high level in the central region and a low level in the rural areas, while PM and PM are high in the northwest and low in the southeast. Additionally, the concentration of pollutants is greatly affected by meteorological factors, with PM being negatively correlated with temperature and wind speed, while O is positively correlated with the temperature. This research investigated the spatiotemporal characteristics of the air pollution and provided important policy advice based on the findings, which can be used to mitigate air pollution.
Reference Key
li2019spatiotemporalinternational Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Li, Chengming;Dai, Zhaoxin;Yang, Lina;Ma, Zhaoting;
Journal International journal of environmental research and public health
Year 2019
DOI
E3122
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.