Literature DB >> 29062264

Characteristics of PM2.5 Concentrations across Beijing during 2013-2015.

Stuart Batterman1, Lizhong Xu2, Feng Chen3, Fang Chen2, Xuefen Zhong2.   

Abstract

High concentrations of particulate matter (PM2.5) and frequent air pollution episodes in Beijing have attracted widespread attention. This paper utilizes data from the new air pollution network in China to examine the current spatial and temporal variability of PM2.5 at 12 monitoring sites in Beijing over a recent 2-year period (April 2013) to March 2015). The long term (2-year) average concentration was 83 µg·m-3, well above Chinese and international standards. Across the region, annual average concentrations varied by 20 µg·m-3 (25% of the average level), with lower levels in suburban areas compared to periurban and urban areas, which had similar concentrations. The spatial variation in PM2.5 concentrations was associated with several land use and economic variables, including the fraction of vegetated land and building construction activity, which together explained 71% of the spatial variation. Daily air quality was characterized as "polluted" (above 75 µg·m-3) on 36 to 47% of days, depending on site. There were 77 pollution episodes during the study period (defined as two or more consecutive days with Beijing-wide 24-hour average concentrations over 75 µg·m-3), and 2 to 5 episodes occurred each month, including summer months. The longest episode lasted 9 days and daily concentrations exceeded 450 µg·m-3. Daily PM2.5 levels were autocorrelated (rlag1 = 0.516) and associated with many meteorological variables, including barometric pressure, relative humidity, hours of sunshine, surface and ambient temperature, precipitation and scavenging coefficient, and wind direction. Parsimonious models with meteorological and autoregressive terms explained over 60% of the variation in daily PM2.5 levels. The first autoregressive term and hours of sunshine were the most important variables in these models, however, the latter variable is PM2.5-dependent and thus not an explanatory variable. The present study can serve as a baseline to compare the improved air quality in Beijing expected in future years.

Entities:  

Keywords:  Beijing; PM2.5; Particulate matter; episode; spatial variation; temporal variation

Year:  2016        PMID: 29062264      PMCID: PMC5650241          DOI: 10.1016/j.atmosenv.2016.08.060

Source DB:  PubMed          Journal:  Atmos Environ (1994)        ISSN: 1352-2310            Impact factor:   4.798


  14 in total

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Authors:  Antonella Zanobetti; Elena Austin; Brent A Coull; Joel Schwartz; Petros Koutrakis
Journal:  Environ Int       Date:  2014-06-17       Impact factor: 9.621

2.  Concentrations and seasonal variation of ambient PM(2.5) and associated metals at a typical residential area in Beijing, China.

Authors:  Jing Yang; Qiang Fu; Xiaoshuang Guo; Baolin Chu; Yawei Yao; Yanguo Teng; Yeyao Wang
Journal:  Bull Environ Contam Toxicol       Date:  2014-12-21       Impact factor: 2.151

3.  Impact of traffic-related air pollution on health.

Authors:  J Jakubiak-Lasocka; J Lasocki; R Siekmeier; Z Chłopek
Journal:  Adv Exp Med Biol       Date:  2015       Impact factor: 2.622

4.  Disability-adjusted life years in the assessment of health effects of traffic-related air pollution.

Authors:  Ł Adamkiewicz; A J Badyda; A Gayer; D Mucha
Journal:  Adv Exp Med Biol       Date:  2015       Impact factor: 2.622

5.  [Temporal and spatial distribution of PM2.5 and PM10 pollution status and the correlation of particulate matters and meteorological factors during winter and spring in Beijing].

Authors:  Chen-Xi Zhao; Yun-Qi Wang; Yu-Jie Wang; Hui-Lan Zhang; Bing-Qing Zhao
Journal:  Huan Jing Ke Xue       Date:  2014-02

6.  Decomposing the profile of PM in two low polluted German cities--mapping of air mass residence time, focusing on potential long range transport impacts.

Authors:  Konstantinos Dimitriou; Pavlos Kassomenos
Journal:  Environ Pollut       Date:  2014-04-15       Impact factor: 8.071

7.  Concentration and chemical characteristics of PM2.5 in Beijing, China: 2001-2002.

Authors:  F K Duan; K B He; Y L Ma; F M Yang; X C Yu; S H Cadle; T Chan; P A Mulawa
Journal:  Sci Total Environ       Date:  2005-09-23       Impact factor: 7.963

8.  Chemical characteristics of PM2.5 and PM10 in haze-fog episodes in Beijing.

Authors:  Yele Sun; Guoshun Zhuang; A Aohan Tang; Ying Wang; Zhisheng An
Journal:  Environ Sci Technol       Date:  2006-05-15       Impact factor: 9.028

9.  Spatial and temporal characteristics of particulate matter in Beijing, China using the Empirical Mode Decomposition method.

Authors:  Maogui Hu; Lin Jia; Jinfeng Wang; Yuepeng Pan
Journal:  Sci Total Environ       Date:  2013-04-30       Impact factor: 7.963

10.  Analysis of the characteristics and evolution modes of PM2.5 pollution episodes in Beijing, China during 2013.

Authors:  Ci Song; Tao Pei; Ling Yao
Journal:  Int J Environ Res Public Health       Date:  2015-01-22       Impact factor: 3.390

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  4 in total

1.  Spatiotemporal characteristics of PM2.5 and PM10 at urban and corresponding background sites in 23 cities in China.

Authors:  Lizhong Xu; Stuart Batterman; Fang Chen; Jiabing Li; Xuefen Zhong; Yongjie Feng; Qinghua Rao; Feng Chen
Journal:  Sci Total Environ       Date:  2017-05-25       Impact factor: 7.963

2.  New Homogeneous Spatial Areas Identified Using Case-Crossover Spatial Lag Grid Differences between Aerosol Optical Depth-PM2.5 and Respiratory-Cardiovascular Emergency Department Visits and Hospitalizations.

Authors:  John T Braggio; Eric S Hall; Stephanie A Weber; Amy K Huff
Journal:  Atmosphere (Basel)       Date:  2022-04-30       Impact factor: 3.110

3.  Association of long-term exposure to PM2.5 with hypertension prevalence and blood pressure in China: a cross-sectional study.

Authors:  Jiali Song; Yan Gao; Shuang Hu; Emanuela Medda; Guigang Tang; Di Zhang; Wenbo Zhang; Xi Li; Jing Li; Matteo Renzi; Maria Antonietta Stazi; Xin Zheng
Journal:  BMJ Open       Date:  2021-12-09       Impact factor: 2.692

Review 4.  Organ-on-a-Chip: Opportunities for Assessing the Toxicity of Particulate Matter.

Authors:  Jia-Wei Yang; Yu-Chih Shen; Ko-Chih Lin; Sheng-Jen Cheng; Shiue-Luen Chen; Chong-You Chen; Priyank V Kumar; Shien-Fong Lin; Huai-En Lu; Guan-Yu Chen
Journal:  Front Bioeng Biotechnol       Date:  2020-05-29
  4 in total

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