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Analysis of Spatial-Temporal Characteristics of the PM 2.5 Concentrations in Weifang City, China

Author

Listed:
  • Yixiao Li

    (Chinese Academy of Surveying and Mapping, Beijing 100830, China
    Beijing No.4 High School International Campus, Beijing 100031, China)

  • Zhaoxin Dai

    (Chinese Academy of Surveying and Mapping, Beijing 100830, China)

  • Xianlin Liu

    (Chinese Academy of Surveying and Mapping, Beijing 100830, China)

Abstract

Air pollution, which accompanies industrial progression and urbanization, has become an urgent issue to address in contemporary society. As a result, our understanding and continued study of the spatial-temporal characteristics of a major pollutant, defined as 2.5-micron or less particulate matter (PM 2.5 ), as well as the development of related approaches to improve the environment, has become vital. This paper studies the characteristics of yearly, quarterly, monthly, daily, and hourly PM 2.5 concentrations, and discusses the influencing factors based on the hourly data of nationally controlled and provincially controlled monitoring stations, from 2012 to 2016, in Weifang City. The main conclusion of this study is that the annual PM 2.5 concentrations reached a peak in 2013. With efficient aid from the government, this value has decreased annually and has high spatial characteristics in the northwest and low spatial characteristics in the southeast. Second, the seasonal and monthly PM 2.5 concentrations form a U-shaped trend, meaning that the concentration is high in the summer and low in the winter. These trends are highly relevant to the factors of plantation, humidity, temperature, and precipitation. Third, within a week, higher PM 2.5 concentrations appear on Mondays and Saturdays, whereas the lowest concentration occurs on Wednesdays. It can be inferred that PM 2.5 concentrations tend to be highly dependent on human activities and living habits. Lastly, there are hourly discrepancies within the peaks and troughs depending on the month, and the overall daytime PM 2.5 concentrations and reductive rates are higher in the daytime than in the nighttime.

Suggested Citation

  • Yixiao Li & Zhaoxin Dai & Xianlin Liu, 2018. "Analysis of Spatial-Temporal Characteristics of the PM 2.5 Concentrations in Weifang City, China," Sustainability, MDPI, vol. 10(9), pages 1-12, August.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:9:p:2960-:d:164796
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    References listed on IDEAS

    as
    1. Yong-Ze Song & Hong-Lei Yang & Jun-Huan Peng & Yi-Rong Song & Qian Sun & Yuan Li, 2015. "Estimating PM2.5 Concentrations in Xi'an City Using a Generalized Additive Model with Multi-Source Monitoring Data," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-22, November.
    2. Xianhua Wu & Yufeng Chen & Ji Guo & Guizhi Wang & Yeming Gong, 2017. "Spatial concentration, impact factors and prevention-control measures of PM2.5 pollution in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(1), pages 393-410, March.
    3. Xianhua Wu & Yufeng Chen & Ji Guo & Guizhi Wang & Yeming Gong, 2017. "Spatial concentration, impact factors and prevention-control measures of PM2.5 pollution in China," Post-Print hal-02311981, HAL.
    Full references (including those not matched with items on IDEAS)

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