Journal of East China Normal University(Natural Science) >

2024 , Vol. 2024 >Issue 6: 124 - 135

DOI: https://doi.org/10.3969/j.issn.1000-5641.2024.06.011

Ecological Risk and Management

Spatiotemporal distribution characteristics and respiratory exposure risk of PCDD/Fs in Shanghai, China

  • Ying LI ,
  • Ye HUANG ,
  • Ye LI ,
  • Min LIU
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  • Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographical Sciences, East China Normal University, Shanghai　200241, China

Received date: 2024-07-23

  Accepted date: 2024-09-05

  Online published: 2024-11-29

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Abstract

In this study, a coupled Weather Research and Forecasting-Community Multiscale Air Quality (WRF-CMAQ) model was developed to analyze the atmospheric transport of polychlorinated dibenzo-p-dioxins and furans (PCDD/Fs) in the megacity of Shanghai, and the population’s exposure to them. The results showed that 69.88% of the simulated values are within 0.5 to 2 times the observed values, indicating good accuracy. In 2019, the highest PCDD/Fs pollution levels in Shanghai’s atmosphere were observed in winter, followed by fall and spring. The lowest levels occurred in summer, with respective mass concentrations of 847.08, 629.53, 588.38, and 406.96 fg/m3 and respective TEQ concentrations of 59.29, 44.46, 40.80, and 28.08 fg I-TEQ/m3. The areas most polluted with atmospheric PCDD/Fs were Yangzi, Yangzhou, and Shanghai. Fs were found in Yangpu, Hongkou, Huangpu, Jing'an, Baoshan, Jinshan, and Songjiang. The respiratory exposure of Shanghai residents to PCDD/Fs followed the trend of adolescents > elderly > middle-aged people, with 10.67, 8.86, and 8.47 fg I-TEQ/(kg·d), and the risk of exposure was within the acceptable range. The contribution of local emission sources is much larger than that of foreign emission sources, indicating that local industrial production processes and combustion activities mainly cause atmospheric PCDD/Fs pollution in Shanghai.

Key words： polychlorinated dibenzo-p-dioxins and furans (PCDD/Fs); spatial distribution; seasonal variation; inhalation exposure; source analysis

Cite this article

Ying LI , Ye HUANG , Ye LI , Min LIU . Spatiotemporal distribution characteristics and respiratory exposure risk of PCDD/Fs in Shanghai, China[J]. Journal of East China Normal University(Natural Science), 2024 , 2024(6) : 124 -135 . DOI: 10.3969/j.issn.1000-5641.2024.06.011

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