Understanding the Patterns and Drivers of Air Pollution on Multiple Time Scales: The Case of Northern China

Yupeng Liu, Jianguo Wu, Deyong Yu, Ruifang Hao

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

China’s rapid economic growth during the past three decades has resulted in a number of environmental problems, including the deterioration of air quality. It is necessary to better understand how the spatial pattern of air pollutants varies with time scales and what drive these changes. To address these questions, this study focused on one of the most heavily air-polluted areas in North China. We first quantified the spatial pattern of air pollution, and then systematically examined the relationships of air pollution to several socioeconomic and climatic factors using the constraint line method, correlation analysis, and stepwise regression on decadal, annual, and seasonal scales. Our results indicate that PM2.5 was the dominant air pollutant in the Beijing–Tianjin–Hebei region, while PM2.5 and PM10 were both important pollutants in the Agro-pastoral Transitional Zone (APTZ) region. Our statistical analyses suggest that energy consumption and gross domestic product (GDP) in the industry were the most important factors for air pollution on the decadal scale, but the impacts of climatic factors could also be significant. On the annual and seasonal scales, high wind speed, low relative humidity, and long sunshine duration constrained PM2.5 accumulation; low wind speed and high relative humidity constrained PM10 accumulation; and short sunshine duration and high wind speed constrained O3 accumulation. Our study showed that analyses on multiple temporal scales are not only necessary to determine key drivers of air pollution, but also insightful for understanding the spatial patterns of air pollution, which was important for urban planning and air pollution control.

Original languageEnglish (US)
Pages (from-to)1048-1061
Number of pages14
JournalEnvironmental Management
Volume61
Issue number6
DOIs
StatePublished - Jun 1 2018

Fingerprint

Air pollution
atmospheric pollution
timescale
wind velocity
Atmospheric humidity
Air
relative humidity
Air pollution control
Urban planning
Correlation methods
Air quality
Deterioration
urban planning
Gross Domestic Product
pollution control
Energy utilization
economic growth
air quality
Economics
pollutant

Keywords

  • Air quality index
  • Constraint line analysis
  • Correlation analysis
  • PM
  • Stepwise regression

ASJC Scopus subject areas

  • Global and Planetary Change
  • Ecology
  • Pollution

Cite this

Understanding the Patterns and Drivers of Air Pollution on Multiple Time Scales : The Case of Northern China. / Liu, Yupeng; Wu, Jianguo; Yu, Deyong; Hao, Ruifang.

In: Environmental Management, Vol. 61, No. 6, 01.06.2018, p. 1048-1061.

Research output: Contribution to journalArticle

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