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Investigating the spatio-temporal pattern of PM2.5 concentrations in Jiangsu Province, China

E3S Web of Conferences, 2023, Vol.379, p.01001 [Peer Reviewed Journal]

2023. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2555-0403 ;EISSN: 2267-1242 ;DOI: 10.1051/e3sconf/202337901001

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  • Title:
    Investigating the spatio-temporal pattern of PM2.5 concentrations in Jiangsu Province, China
  • Author: Hasnain, Ahmad ; Sheng, Yehua ; Hashmi, Muhammad Zaffar ; Uzair Aslam Bhatti ; Zha, Yong
  • Subjects: Air masses ; Air pollution ; Air quality ; china ; Developing countries ; hysplit model ; jiangsu province ; LDCs ; Outdoor air quality ; Particulate matter ; pm2.5 ; spatio-temporal ; Trajectory analysis
  • Is Part Of: E3S Web of Conferences, 2023, Vol.379, p.01001
  • Description: PM2.5 is a typical air pollutant which has harmful health effects worldwide, particularly in the developing countries such as China due to significant air pollution. The objectives of this study were to investigate the spatio-temporal pattern of PM2.5 concentration in Jiangsu Province, China. The data were collected from 72 monitoring stations between 2018-21 and the HYSPLIT model was used to study the transport pathways of air masses. According to the obtained results, the concentration of PM2.5 was obvious during the study duration. The results show that the concentration of PM2.5 was constantly decreased from 2018 to 2021, while the level of PM2.5 was higher in winter and lower in summer in Jiangsu. The backward trajectory analysis revealed that the trajectories were originated from the Siberia, Russia and passed thorough Mongolia and northwestern parts of China then reached at the study spot. These air masses played a significant role in aerosol pathway and affect the air quality of Jiangsu.
  • Publisher: Les Ulis: EDP Sciences
  • Language: English
  • Identifier: ISSN: 2555-0403
    EISSN: 2267-1242
    DOI: 10.1051/e3sconf/202337901001
  • Source: EDP Open
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