Characteristics of particulate matter (PM10) and its relationship with meteorological factors during 2001–2012 in Beijing

Atmospheric pollution has become a significant challenge in Beijing metropolitan region, China. In this study, wavelet analysis and gray analysis were proposed to explore the temporal characteristics of particulate matter (PM10) and its relationships with meteorological factors during 2001–2012. The...

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Published inEnvironmental pollution (1987) Vol. 192; pp. 266 - 274
Main Authors Tian, Guangjin, Qiao, Zhi, Xu, Xinliang
Format Journal Article Conference Proceeding
LanguageEnglish
Published Kidlington Elsevier Ltd 01.09.2014
Elsevier
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Abstract Atmospheric pollution has become a significant challenge in Beijing metropolitan region, China. In this study, wavelet analysis and gray analysis were proposed to explore the temporal characteristics of particulate matter (PM10) and its relationships with meteorological factors during 2001–2012. The analysis indicated that air quality had got better significantly over the last decade. It was clearly interannual, seasonal, and monthly variation of atmospheric pollution, which represented that the air quality was the worst in spring, and got better in summer, subsequently tended to be more serious in autumn and winter. Generally atmospheric pressure was the most important meteorological feature influencing on PM10, followed by relative humidity and wind speed. However, the dominant meteorological factors influencing the atmospheric pollution were different in the four seasons. The results suggest that urban design and effective measures based on the relationship between meteorological factors and PM10 would be effective for improving atmospheric pollution. [Display omitted] •Wavelet analysis was proposed to explore the temporal characteristics of PM10.•The relationship of PM10 with meteorological factors was studied using gray analysis.•The seasonal order of air quality is: summer > autumn > winter > spring.•Atmospheric pressure was the most important meteorological feature affecting PM10.•The results suggest the potential meteorological measures to control air pollution. The study investigates the temporal variation of API and its relationship with meteorological factors to further explore the mechanism of air pollution in Beijing.
AbstractList Atmospheric pollution has become a significant challenge in Beijing metropolitan region, China. In this study, wavelet analysis and gray analysis were proposed to explore the temporal characteristics of particulate matter (PM sub(10)) and its relationships with meteorological factors during 2001-2012. The analysis indicated that air quality had got better significantly over the last decade. It was clearly interannual, seasonal, and monthly variation of atmospheric pollution, which represented that the air quality was the worst in spring, and got better in summer, subsequently tended to be more serious in autumn and winter. Generally atmospheric pressure was the most important meteorological feature influencing on PM sub(10), followed by relative humidity and wind speed. However, the dominant meteorological factors influencing the atmospheric pollution were different in the four seasons. The results suggest that urban design and effective measures based on the relationship between meteorological factors and PM sub(10) would be effective for improving atmospheric pollution.
Atmospheric pollution has become a significant challenge in Beijing metropolitan region, China. In this study, wavelet analysis and gray analysis were proposed to explore the temporal characteristics of particulate matter (PM10) and its relationships with meteorological factors during 2001-2012. The analysis indicated that air quality had got better significantly over the last decade. It was clearly interannual, seasonal, and monthly variation of atmospheric pollution, which represented that the air quality was the worst in spring, and got better in summer, subsequently tended to be more serious in autumn and winter. Generally atmospheric pressure was the most important meteorological feature influencing on PM10, followed by relative humidity and wind speed. However, the dominant meteorological factors influencing the atmospheric pollution were different in the four seasons. The results suggest that urban design and effective measures based on the relationship between meteorological factors and PM10 would be effective for improving atmospheric pollution.
Atmospheric pollution has become a significant challenge in Beijing metropolitan region, China. In this study, wavelet analysis and gray analysis were proposed to explore the temporal characteristics of particulate matter (PM10) and its relationships with meteorological factors during 2001–2012. The analysis indicated that air quality had got better significantly over the last decade. It was clearly interannual, seasonal, and monthly variation of atmospheric pollution, which represented that the air quality was the worst in spring, and got better in summer, subsequently tended to be more serious in autumn and winter. Generally atmospheric pressure was the most important meteorological feature influencing on PM10, followed by relative humidity and wind speed. However, the dominant meteorological factors influencing the atmospheric pollution were different in the four seasons. The results suggest that urban design and effective measures based on the relationship between meteorological factors and PM10 would be effective for improving atmospheric pollution. [Display omitted] •Wavelet analysis was proposed to explore the temporal characteristics of PM10.•The relationship of PM10 with meteorological factors was studied using gray analysis.•The seasonal order of air quality is: summer > autumn > winter > spring.•Atmospheric pressure was the most important meteorological feature affecting PM10.•The results suggest the potential meteorological measures to control air pollution. The study investigates the temporal variation of API and its relationship with meteorological factors to further explore the mechanism of air pollution in Beijing.
Author Xu, Xinliang
Qiao, Zhi
Tian, Guangjin
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  surname: Tian
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  organization: State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinwai Street, Beijing 100875, PR China
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  organization: State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, No. A11, Datun Road, ChaoYang District, Beijing 100101, PR China
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Keywords Beijing
Temporal characteristics
PM10
Meteorological factors
Atmospheric condition
Megacity
Air quality
Urban area
Coarse particle
2000-2010
Trend analysis
Aerosols
Air pollution
Time-series analysis
PM
Concentration distribution
Language English
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Snippet Atmospheric pollution has become a significant challenge in Beijing metropolitan region, China. In this study, wavelet analysis and gray analysis were proposed...
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SubjectTerms Air Pollutants - analysis
Air pollution
Air Pollution - statistics & numerical data
Air quality
Applied sciences
Atmospheric pollution
Autumn
Beijing
China
Environmental Monitoring - methods
Exact sciences and technology
Humans
Meteorological Concepts
Meteorological factors
Meteorology
Particulate emissions
Particulate Matter - analysis
PM10
Pollutants physicochemistry study: properties, effects, reactions, transport and distribution
Pollution
Pollution abatement
Seasons
Springs
Temporal characteristics
Urban planning
Wind
Winter
Title Characteristics of particulate matter (PM10) and its relationship with meteorological factors during 2001–2012 in Beijing
URI https://dx.doi.org/10.1016/j.envpol.2014.04.036
https://www.ncbi.nlm.nih.gov/pubmed/24857048
https://search.proquest.com/docview/1544324464
https://search.proquest.com/docview/1627960889
https://search.proquest.com/docview/1642252850
Volume 192
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