Research on the spatiotemporal variation characteristics of air pollutants in a chemical industrial park in Zhejiang based on air quality monitoring micro station network

SUN Zihan; WANG Geng; ZHANG Xi; SUN Songhua; PANG Xiaobing

doi:10.13205/j.hjgc.202504002

Volume 43 Issue 4

Apr. 2025

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2025 > 43(4): 17-25

SUN Z H，WANG G，ZHANG X，et al.Research on the spatiotemporal variation characteristics of air pollutants in a chemical industrial park in Zhejiang based on air quality monitoring micro station network［J］.Environmental Engineering，2025，43（4）：17-25. doi: 10.13205/j.hjgc.202504002

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Research on the spatiotemporal variation characteristics of air pollutants in a chemical industrial park in Zhejiang based on air quality monitoring micro station network

doi: 10.13205/j.hjgc.202504002

1. College of Environment, Zhejiang University of Technology, Hangzhou 310000, China;
2. Green Intelligence Environmental School, Yangtze Normal University, Chongqing 408100, China;
3. Shaoxing Ecological Environment Monitoring Center, Shaoxing 312000, China

Received Date: 2023-07-30
Accepted Date: 2024-04-30
Rev Recd Date: 2023-10-23
Publish Date: 2025-04-01

Abstract

Abstract

The chemical industry park has the characteristics of large scale， gathering enterprises， dense distribution， large quantity of dangerous chemicals， complex production process and so on. Based on the air pollutant monitoring network consists of 30 micro air quality monitoring stations， a long-term monitoring study of air pollutants in a fine chemical industrial park in Zhejiang province was carried out. The results showed that： 1） O₃ concentration showed a bimodal change， and the peak appeared in April （83.8 μg/m³） and September （84.5 μg/m³）. The concentration of NO₂ in winter was higher than that in summer， and the average annual concentration was mainly between 4 μg/m³and 28 μg/m³. TVOCs showed a unimodal trend and reached the peak in August， with an average concentration of 1954 μg/m³. Due to the favorable meteorological diffusion conditions， the concentrations of PM₁₀ and PM_2.5 had the same trend， and both had the highest concentration in December. 2） The high O₃ concentration area was mainly concentrated in the north of the park； the spatiotemporal distribution characteristics of NO₂ were significantly negatively correlated with O₃， and the concentration of NO₂ was lower in areas with high O₃ concentration. There was no significant difference in the spatial distribution of TVOCs throughout the year， mainly concentrated in the south and northeast of the park； the areas with high PM values were mainly distributed in the middle of the park. 3） Influenced by the epidemic， the concentrations of NO₂ and PM were lower than those before the control period， while the concentration of O₃ was higher than that before the control period due to the influence of its precursors. 4） According to the Pearson correlation coefficient， the long-term migration of wind speed and high temperature would promote the formation of O₃； according to the spatial distribution and the ratio of NO₂ to TVOCs， the formation of O₃ in the fine chemical industrial park was limited by NO₂， and reducing the ambient NO₂ concentration should be an effective strategy to reduce the O₃ concentration in the park.
- fine chemical industrial park,
- air pollutants,
- spatiotemporal variation,
- air quality micro monitoring station

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