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Spatiotemporal Patterns of Ground Monitored PM(2.5) Concentrations in China in Recent Years
This paper firstly explores the space-time evolution of city-level [Formula: see text] 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, wh...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5800213/ https://www.ncbi.nlm.nih.gov/pubmed/29324671 http://dx.doi.org/10.3390/ijerph15010114 |
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author | Li, Junming Han, Xiulan Li, Xiao Yang, Jianping Li, Xuejiao |
author_facet | Li, Junming Han, Xiulan Li, Xiao Yang, Jianping Li, Xuejiao |
author_sort | Li, Junming |
collection | PubMed |
description | This paper firstly explores the space-time evolution of city-level [Formula: see text] 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 [Formula: see text] concentrations in mainland China based on ground monitoring, employing a descriptive statistics method and a Bayesian spatiotemporal hierarchy model. Daily and weekly average [Formula: see text] 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 [Formula: see text] 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. [Formula: see text] 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. |
format | Online Article Text |
id | pubmed-5800213 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-58002132018-02-06 Spatiotemporal Patterns of Ground Monitored PM(2.5) Concentrations in China in Recent Years Li, Junming Han, Xiulan Li, Xiao Yang, Jianping Li, Xuejiao Int J Environ Res Public Health Article This paper firstly explores the space-time evolution of city-level [Formula: see text] 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 [Formula: see text] concentrations in mainland China based on ground monitoring, employing a descriptive statistics method and a Bayesian spatiotemporal hierarchy model. Daily and weekly average [Formula: see text] 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 [Formula: see text] 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. [Formula: see text] 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. MDPI 2018-01-11 2018-01 /pmc/articles/PMC5800213/ /pubmed/29324671 http://dx.doi.org/10.3390/ijerph15010114 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Junming Han, Xiulan Li, Xiao Yang, Jianping Li, Xuejiao Spatiotemporal Patterns of Ground Monitored PM(2.5) Concentrations in China in Recent Years |
title | Spatiotemporal Patterns of Ground Monitored PM(2.5) Concentrations in China in Recent Years |
title_full | Spatiotemporal Patterns of Ground Monitored PM(2.5) Concentrations in China in Recent Years |
title_fullStr | Spatiotemporal Patterns of Ground Monitored PM(2.5) Concentrations in China in Recent Years |
title_full_unstemmed | Spatiotemporal Patterns of Ground Monitored PM(2.5) Concentrations in China in Recent Years |
title_short | Spatiotemporal Patterns of Ground Monitored PM(2.5) Concentrations in China in Recent Years |
title_sort | spatiotemporal patterns of ground monitored pm(2.5) concentrations in china in recent years |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5800213/ https://www.ncbi.nlm.nih.gov/pubmed/29324671 http://dx.doi.org/10.3390/ijerph15010114 |
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