Literature DB >> 30628262

[Transport Pathways and Potential Sources of PM2.5 During the Winter in Zhengzhou].

Shi-Guang Duan1,2, Nan Jiang1,2, Liu-Ming Yang1,2, Rui-Qin Zhang1,2.   

Abstract

In this study, meteorological and air mass concentration data of Zhengzhou from December 2017 to February 2018 (winter) were used to quantify the influence of meteorological factors on the PM. The Hybrid Single-Particle Lagrangian Integrated Trajectory model was used to analyze the 48-hour backward trajectories and the cluster method was applied to classify the airflow backward trajectory. Moreover, the potential source contribution function and concentration-weighted trajectory analysis were applied to evaluate the transport pathways and sources of PM2.5 in Zhengzhou. The results show that the heavy pollution in Zhengzhou during winter is mainly due to the low wind speed, high relative humidity, and low precipitation. The cluster analysis revealed that up to 60% of the back trajectories came from the northwest and 25.56% of the back trajectories came from the Beijing-Tianjin area. The airflow trajectories from the south and east account for 7.5% and 6.1% with higher PM2.5 concentrations. The main potential sources of PM2.5 in Zhengzhou during winter are located in Beijing-Tianjin-Hebei air pollution transmission channel cities including Jiaozuo, Kaifeng, Xinxiang, Hebi, Puyang, Anyang, Handan, and Xingtai. The adjacent provinces, including Shanxi, Hubei, and Anhui, also have great influence on the PM2.5 in Zhengzhou.

Entities:  

Keywords:  PM2.5; backward trajectory; cluster analysis; concentration-weighted trajectory (CWT); potential source contribution function (PSCF)

Year:  2019        PMID: 30628262     DOI: 10.13227/j.hjkx.201805187

Source DB:  PubMed          Journal:  Huan Jing Ke Xue        ISSN: 0250-3301


  1 in total

1.  Air quality changes during the COVID-19 lockdown over the Yangtze River Delta Region: An insight into the impact of human activity pattern changes on air pollution variation.

Authors:  Li Li; Qing Li; Ling Huang; Qian Wang; Ansheng Zhu; Jian Xu; Ziyi Liu; Hongli Li; Lishu Shi; Rui Li; Majid Azari; Yangjun Wang; Xiaojuan Zhang; Zhiqiang Liu; Yonghui Zhu; Kun Zhang; Shuhui Xue; Maggie Chel Gee Ooi; Dongping Zhang; Andy Chan
Journal:  Sci Total Environ       Date:  2020-05-11       Impact factor: 7.963

  1 in total

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