Analysis of Spatial-Temporal Characteristics of the PM 2.5 Concentrations in Weifang City, China

Yixiao Li, Zhaoxin Dai and Xianlin Liu
Additional contact information
Yixiao Li: Chinese Academy of Surveying and Mapping, Beijing 100830, China
Zhaoxin Dai: Chinese Academy of Surveying and Mapping, Beijing 100830, China
Xianlin Liu: Chinese Academy of Surveying and Mapping, Beijing 100830, China

Sustainability, 2018, vol. 10, issue 9, 1-12

Abstract: Air pollution, which accompanies industrial progression and urbanization, has become an urgent issue to address in contemporary society. As a result, our understanding and continued study of the spatial-temporal characteristics of a major pollutant, defined as 2.5-micron or less particulate matter (PM 2.5 ), as well as the development of related approaches to improve the environment, has become vital. This paper studies the characteristics of yearly, quarterly, monthly, daily, and hourly PM 2.5 concentrations, and discusses the influencing factors based on the hourly data of nationally controlled and provincially controlled monitoring stations, from 2012 to 2016, in Weifang City. The main conclusion of this study is that the annual PM 2.5 concentrations reached a peak in 2013. With efficient aid from the government, this value has decreased annually and has high spatial characteristics in the northwest and low spatial characteristics in the southeast. Second, the seasonal and monthly PM 2.5 concentrations form a U-shaped trend, meaning that the concentration is high in the summer and low in the winter. These trends are highly relevant to the factors of plantation, humidity, temperature, and precipitation. Third, within a week, higher PM 2.5 concentrations appear on Mondays and Saturdays, whereas the lowest concentration occurs on Wednesdays. It can be inferred that PM 2.5 concentrations tend to be highly dependent on human activities and living habits. Lastly, there are hourly discrepancies within the peaks and troughs depending on the month, and the overall daytime PM 2.5 concentrations and reductive rates are higher in the daytime than in the nighttime.

Keywords: ground monitoring stations; PM 2.5 concentrations; spatial characteristics; temporal characteristics; Weifang City (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/10/9/2960/pdf (application/pdf)
https://www.mdpi.com/2071-1050/10/9/2960/ (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:jsusta:v:10:y:2018:i:9:p:2960-:d:164796

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

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