Spatio-Temporal Variation Characteristics of PM 2.5 in the Beijing–Tianjin–Hebei Region, China, from 2013 to 2018

Lili Wang, Qiulin Xiong, Gaofeng Wu, Atul Gautam, Jianfang Jiang, Shuang Liu, Wenji Zhao and Hongliang Guan
Additional contact information
Lili Wang: College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
Qiulin Xiong: Faculty of Geomatics, East China University of Technology, Nanchang 330013, China
Gaofeng Wu: College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
Atul Gautam: College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
Jianfang Jiang: College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
Shuang Liu: College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
Wenji Zhao: College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
Hongliang Guan: College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China

IJERPH, 2019, vol. 16, issue 21, 1-20

Abstract: Air pollution, including particulate matter (PM 2.5 ) pollution, is extremely harmful to the environment as well as human health. The Beijing–Tianjin–Hebei (BTH) Region has experienced heavy PM 2.5 pollution within China. In this study, a six-year time series (January 2013–December 2018) of PM 2.5 mass concentration data from 102 air quality monitoring stations were studied to understand the spatio-temporal variation characteristics of the BTH region. The average annual PM 2.5 mass concentration in the BTH region decreased from 98.9 μg/m 3 in 2013 to 64.9 μg/m 3 in 2017. Therefore, China has achieved its Air Pollution Prevention and Control Plan goal of reducing the concentration of fine particulate matter in the BTH region by 25% by 2017. The PM 2.5 pollution in BTH plain areas showed a more significant change than mountains areas, with the highest PM 2.5 mass concentration in winter and the lowest in summer. The results of spatial autocorrelation and cluster analyses showed that the PM 2.5 mass concentration in the BTH region from 2013–2018 showed a significant spatial agglomeration, and that spatial distribution characteristics were high in the south and low in the north. Changes in PM 2.5 mass concentration in the BTH region were affected by both socio-economic factors and meteorological factors. Our results can provide a point of reference for making PM 2.5 pollution control decisions.

Keywords: PM 2.5; air pollution; spatio-temporal variation; geographical detector; BTH (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:

Downloads: (external link)
https://www.mdpi.com/1660-4601/16/21/4276/pdf (application/pdf)
https://www.mdpi.com/1660-4601/16/21/4276/ (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:21:p:4276-:d:283315

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 ().