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Spatiotemporal Variations of Particulate and Gaseous Pollutants and Their Relations to Meteorological Parameters: The Case of Xiangyang, China

Author

Listed:
  • Wei Xue

    (School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Qingming Zhan

    (School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Qi Zhang

    (Bank of Communications, Wuhan 430015, China)

  • Zhonghua Wu

    (The Xiangyang Environmental Monitoring Center, Xiangyang 441000, China)

Abstract

High air pollution levels have become a nationwide problem in China, but limited attention has been paid to prefecture-level cities. Furthermore, different time resolutions between air pollutant level data and meteorological parameters used in many previous studies can lead to biased results. Supported by synchronous measurements of air pollutants and meteorological parameters, including PM 2.5 , PM 10 , total suspended particles (TSP), CO, NO 2 , O 3 , SO 2 , temperature, relative humidity, wind speed and direction, at 16 urban sites in Xiangyang, China, from 1 March 2018 to 28 February 2019, this paper: (1) analyzes the overall air quality using an air quality index (AQI); (2) captures spatial dynamics of air pollutants with pollution point source data; (3) characterizes pollution variations at seasonal, day-of-week and diurnal timescales; (4) detects weekend effects and holiday (Chinese New Year and National Day holidays) effects from a statistical point of view; (5) establishes relationships between air pollutants and meteorological parameters. The principal results are as follows: (1) PM 2.5 and PM 10 act as primary pollutants all year round and O 3 loses its primary pollutant position after November; (2) automobile manufacture contributes to more particulate pollutants while chemical plants produce more gaseous pollutants. TSP concentration is related to on-going construction and road sprinkler operations help alleviate it; (3) an unclear weekend effect for all air pollutants is confirmed; (4) celebration activities for the Chinese New Year bring distinctly increased concentrations of SO 2 and thereby enhance secondary particulate pollutants; (5) relative humidity and wind speed, respectively, have strong negative correlations with coarse particles and fine particles. Temperature positively correlates with O 3 .

Suggested Citation

  • Wei Xue & Qingming Zhan & Qi Zhang & Zhonghua Wu, 2019. "Spatiotemporal Variations of Particulate and Gaseous Pollutants and Their Relations to Meteorological Parameters: The Case of Xiangyang, China," IJERPH, MDPI, vol. 17(1), pages 1-23, December.
  • Handle: RePEc:gam:jijerp:v:17:y:2019:i:1:p:136-:d:301357
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    References listed on IDEAS

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    1. Junming Li & Xiulan Han & Xiao Li & Jianping Yang & Xuejiao Li, 2018. "Spatiotemporal Patterns of Ground Monitored PM 2.5 Concentrations in China in Recent Years," IJERPH, MDPI, vol. 15(1), pages 1-15, January.
    2. Yaolin Lin & Jiale Zou & Wei Yang & Chun-Qing Li, 2018. "A Review of Recent Advances in Research on PM 2.5 in China," IJERPH, MDPI, vol. 15(3), pages 1-29, March.
    3. Wenxuan Xu & Yongzhong Tian & Yongxue Liu & Bingxue Zhao & Yongchao Liu & Xueqian Zhang, 2019. "Understanding the Spatial-Temporal Patterns and Influential Factors on Air Quality Index: The Case of North China," IJERPH, MDPI, vol. 16(16), pages 1-23, August.
    4. Tong, Zheming & Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard B., 2016. "Energy saving potential of natural ventilation in China: The impact of ambient air pollution," Applied Energy, Elsevier, vol. 179(C), pages 660-668.
    5. Tao Chen & Jun He & Xiaowei Lu & Jiangfeng She & Zhongqing Guan, 2016. "Spatial and Temporal Variations of PM 2.5 and Its Relation to Meteorological Factors in the Urban Area of Nanjing, China," IJERPH, MDPI, vol. 13(9), pages 1-16, September.
    6. Ling Yao & Ning Lu & Xiafang Yue & Jia Du & Cundong Yang, 2015. "Comparison of Hourly PM 2.5 Observations Between Urban and Suburban Areas in Beijing, China," IJERPH, MDPI, vol. 12(10), pages 1-13, September.
    7. Da Gao & Min Xie & Xing Chen & Tijian Wang & Chenchao Zhan & Junyu Ren & Qian Liu, 2019. "Modeling the Effects of Climate Change on Surface Ozone during Summer in the Yangtze River Delta Region, China," IJERPH, MDPI, vol. 16(9), pages 1-19, April.
    8. Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard Barry & Tong, Zheming, 2016. "Energy Saving Potential of Natural Ventilation in China: The Impact of Ambient Air Pollution," Scholarly Articles 27733689, Harvard University Department of Economics.
    9. J. Lelieveld & J. S. Evans & M. Fnais & D. Giannadaki & A. Pozzer, 2015. "The contribution of outdoor air pollution sources to premature mortality on a global scale," Nature, Nature, vol. 525(7569), pages 367-371, September.
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