Literature DB >> 26562560

Annual and diurnal variations of gaseous and particulate pollutants in 31 provincial capital cities based on in situ air quality monitoring data from China National Environmental Monitoring Center.

Suping Zhao1, Ye Yu2, Daiying Yin3, Jianjun He4, Na Liu5, Jianjun Qu3, Jianhua Xiao3.   

Abstract

Long-term air quality data with high temporal and spatial resolutions are needed to understand some important processes affecting the air quality and corresponding environmental and health effects. The annual and diurnal variations of each criteria pollutant including PM2.5 and PM10 (particulate matter with aerodynamic diameter less than 2.5 μm and 10 μm, respectively), CO (carbon monoxide), NO2 (nitrogen dioxide), SO2 (sulfur dioxide) and O3 (ozone) in 31 provincial capital cities between April 2014 and March 2015 were investigated by cluster analysis to evaluate current air pollution situations in China, and the cities were classified as severely, moderately, and slightly polluted cities according to the variations. The concentrations of air pollutants in winter months were significantly higher than those in other months with the exception of O3, and the cities with the highest CO and SO2 concentrations were located in northern China. The annual variation of PM2.5 concentrations in northern cities was bimodal with comparable peaks in October 2014 and January 2015, while that in southern China was unobvious with slightly high PM2.5 concentrations in winter months. The concentrations of particulate matter and trace gases from primary emissions (SO2 and CO) and NO2 were low in the afternoon (~16:00), while diurnal variation of O3 concentrations was opposite to that of other pollutants with the highest values in the afternoon. The most polluted cities were mainly located in North China Plain, while slightly polluted cities mostly focus on southern China and the cities with high altitude such as Lasa. This study provides a basis for the formulation of future urban air pollution control measures in China.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Air pollution; Annual variation; China; Cluster analysis; Diurnal variation

Mesh:

Substances:

Year:  2015        PMID: 26562560     DOI: 10.1016/j.envint.2015.11.003

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  23 in total

1.  Prenatal exposure to PM2.5 and birth weight: A pooled analysis from three North American longitudinal pregnancy cohort studies.

Authors:  Maria José Rosa; Ashley Pajak; Allan C Just; Perry E Sheffield; Itai Kloog; Joel Schwartz; Brent Coull; Michelle Bosquet Enlow; Andrea A Baccarelli; Kathi Huddleston; John E Niederhuber; Martha María Téllez Rojo; Robert O Wright; Chris Gennings; Rosalind J Wright
Journal:  Environ Int       Date:  2017-07-22       Impact factor: 9.621

2.  International Consensus Statement on Allergy and Rhinology: Allergic Rhinitis.

Authors:  Sarah K Wise; Sandra Y Lin; Elina Toskala; Richard R Orlandi; Cezmi A Akdis; Jeremiah A Alt; Antoine Azar; Fuad M Baroody; Claus Bachert; G Walter Canonica; Thomas Chacko; Cemal Cingi; Giorgio Ciprandi; Jacquelynne Corey; Linda S Cox; Peter Socrates Creticos; Adnan Custovic; Cecelia Damask; Adam DeConde; John M DelGaudio; Charles S Ebert; Jean Anderson Eloy; Carrie E Flanagan; Wytske J Fokkens; Christine Franzese; Jan Gosepath; Ashleigh Halderman; Robert G Hamilton; Hans Jürgen Hoffman; Jens M Hohlfeld; Steven M Houser; Peter H Hwang; Cristoforo Incorvaia; Deborah Jarvis; Ayesha N Khalid; Maritta Kilpeläinen; Todd T Kingdom; Helene Krouse; Desiree Larenas-Linnemann; Adrienne M Laury; Stella E Lee; Joshua M Levy; Amber U Luong; Bradley F Marple; Edward D McCoul; K Christopher McMains; Erik Melén; James W Mims; Gianna Moscato; Joaquim Mullol; Harold S Nelson; Monica Patadia; Ruby Pawankar; Oliver Pfaar; Michael P Platt; William Reisacher; Carmen Rondón; Luke Rudmik; Matthew Ryan; Joaquin Sastre; Rodney J Schlosser; Russell A Settipane; Hemant P Sharma; Aziz Sheikh; Timothy L Smith; Pongsakorn Tantilipikorn; Jody R Tversky; Maria C Veling; De Yun Wang; Marit Westman; Magnus Wickman; Mark Zacharek
Journal:  Int Forum Allergy Rhinol       Date:  2018-02       Impact factor: 3.858

3.  New Deep Learning Model to Estimate Ozone Concentrations Found Worrying Exposure Level over Eastern China.

Authors:  Sichen Wang; Xi Mu; Peng Jiang; Yanfeng Huo; Li Zhu; Zhiqiang Zhu; Yanlan Wu
Journal:  Int J Environ Res Public Health       Date:  2022-06-11       Impact factor: 4.614

4.  Spatial and Temporal Characteristics of Environmental Air Quality and Its Relationship with Seasonal Climatic Conditions in Eastern China during 2015-2018.

Authors:  Zhiyuan Wang; Xiaoyi Shi; Chunhua Pan; Sisi Wang
Journal:  Int J Environ Res Public Health       Date:  2021-04-24       Impact factor: 3.390

5.  Particulate Matter and Gaseous Pollutions in Three Metropolises along the Chinese Yangtze River: Situation and Implications.

Authors:  Mao Mao; Xiaolin Zhang; Yan Yin
Journal:  Int J Environ Res Public Health       Date:  2018-05-28       Impact factor: 3.390

6.  Temporal variations in ambient air quality indicators in Shanghai municipality, China.

Authors:  Yuanyuan Chen; Yang Bai; Hongtao Liu; Juha M Alatalo; Bo Jiang
Journal:  Sci Rep       Date:  2020-07-09       Impact factor: 4.379

7.  Spatial patterns and temporal variations of traffic-related air pollutants and estimating its health effects in Isfahan city, Iran.

Authors:  Yaghoub Hajizadeh; Negar Jafari; Farzad Fanaei; Reza Ghanbari; Amir Mohammadi; Ali Behnami; Azin Jafari; Mohammad Aghababayi; Ali Abdolahnejad
Journal:  J Environ Health Sci Eng       Date:  2021-03-18

8.  Spatiotemporal assessment of health burden and economic losses attributable to short-term exposure to ground-level ozone during 2015-2018 in China.

Authors:  Zihan Zhang; Minghong Yao; Wenjing Wu; Xing Zhao; Juying Zhang
Journal:  BMC Public Health       Date:  2021-06-05       Impact factor: 3.295

9.  Using infrared geostationary remote sensing to determine particulate matter ground-level composition and concentration.

Authors:  M Sowden; D Blake
Journal:  Air Qual Atmos Health       Date:  2021-07-28       Impact factor: 3.763

10.  Characterization of Fine Particulate Matter and Associated Health Burden in Nanjing.

Authors:  Dongyang Nie; Mindong Chen; Yun Wu; Xinlei Ge; Jianlin Hu; Kai Zhang; Pengxiang Ge
Journal:  Int J Environ Res Public Health       Date:  2018-03-27       Impact factor: 3.390

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