Next Article in Journal
Inhibiting the Physiological Stress Effects of a Sustained Attention Task on Shoulder Muscle Activity
Previous Article in Journal
Incidence, Microbiological Profile and Risk Factors of Healthcare-Associated Infections in Intensive Care Units: A 10 Year Observation in a Provincial Hospital in Southern Poland
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Int. J. Environ. Res. Public Health 2018, 15(1), 114; https://doi.org/10.3390/ijerph15010114

Spatiotemporal Patterns of Ground Monitored PM2.5 Concentrations in China in Recent Years

1
School of Statistics, Shanxi University of Finance & Economics, 696 Wucheng Road, Taiyuan 030006, China
2
LREIS, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Datun Road 11A, Beijing 10010, China
*
Author to whom correspondence should be addressed.
Received: 30 November 2017 / Revised: 9 January 2018 / Accepted: 10 January 2018 / Published: 11 January 2018
Full-Text   |   PDF [15781 KB, uploaded 11 January 2018]   |  

Abstract

This paper firstly explores the space-time evolution of city-level PM 2.5 concentrations showed a very significant seasonal cycle type fluctuation during the period between 13 May 2014 and 30 May 2017. The period from October to April following each year was a heavy pollution period, whereas the phase from April to October of the current year was part of a light pollution period. The average monthly PM 2.5 concentrations in mainland China based on ground monitoring, employing a descriptive statistics method and a Bayesian spatiotemporal hierarchy model. Daily and weekly average PM 2.5 concentrations in 338 cities in mainland China presented no significant spatial difference during the severe pollution period but a large spatial difference during light pollution periods. The severe PM 2.5 pollution areas were mainly distributed in the Beijing-Tianjin-Hebei urban agglomeration in the North China Plain during the beginning of each autumn-winter season (September), spreading to the Northeast Plains after October, then later continuing to spread to other cities in mainland China, eventually covering most cities. PM 2.5 pollution in China appeared to be a cyclic characteristic of first spreading and then centralizing in the space in two spring-summer seasons, and showed an obvious process of first diffusing then transferring to shrinkage alternation during the spring-summer season of 2015, but showed no obvious diffusion during the spring-summer season of 2016, maintaining a stable spatial structure after the shrinkage in June, as well as being more concentrated. The heavily polluted areas are continuously and steadily concentrated in East China, Central China and Xinjiang Province. View Full-Text
Keywords: PM2.5 pollution; Bayeasian statistical model; spatiotemporal patterns PM2.5 pollution; Bayeasian statistical model; spatiotemporal patterns
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Li, J.; Han, X.; Li, X.; Yang, J.; Li, X. Spatiotemporal Patterns of Ground Monitored PM2.5 Concentrations in China in Recent Years. Int. J. Environ. Res. Public Health 2018, 15, 114.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Int. J. Environ. Res. Public Health EISSN 1660-4601 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top