EconPapers    
Economics at your fingertips  
 

Spatiotemporal Characteristics of Air Quality across Weifang from 2014–2018

Chengming Li, Zhaoxin Dai, Lina Yang and Zhaoting Ma
Additional contact information
Chengming Li: Chinese Academy of Surveying and Mapping, Beijing 100830, China
Zhaoxin Dai: Chinese Academy of Surveying and Mapping, Beijing 100830, China
Lina Yang: Chinese Academy of Surveying and Mapping, Beijing 100830, China
Zhaoting Ma: Chinese Academy of Surveying and Mapping, Beijing 100830, China

IJERPH, 2019, vol. 16, issue 17, 1-15

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 3 (Ozone), PM 10 (Particles with aerodynamic diameter ≤10 µm), and PM 2.5 (Particles with aerodynamic diameter ≤10 µm); the annual concentrations of PM 10 and PM 2.5 show a significant reduction but that of O 3 is basically unchanged. Seasonally, PM 10 and PM 2.5 show a U-shaped pattern, while O 3 exhibits inverted U-shaped variations, and different pollutants also present different characteristics daily. Spatially, O 3 exhibits a high level in the central region and a low level in the rural areas, while PM 10 and PM 2.5 are high in the northwest and low in the southeast. Additionally, the concentration of pollutants is greatly affected by meteorological factors, with PM 2.5 being negatively correlated with temperature and wind speed, while O 3 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.

Keywords: air quality index; primary pollutants; temporal characteristics; spatial characteristics; Weifang (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/1660-4601/16/17/3122/pdf (application/pdf)
https://www.mdpi.com/1660-4601/16/17/3122/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:16:y:2019:i:17:p:3122-:d:261496

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jijerp:v:16:y:2019:i:17:p:3122-:d:261496