Multi-Scale Meteorological Impact on PM2.5 Pollution in Tangshan, Northern China

Tangshan, a major industrial and agricultural center in northern China, frequently experiences significant PM<sub>2.5</sub> pollution events during winter, impacting its large population. These pollution episodes are influenced by multi-scale meteorological processes, though the complex mechanisms remain not fully understood. This study integrates surface PM<sub>2.5</sub> concentration data, ground-based and upper-air meteorological observations, and ERA5 reanalysis data from 2015 to 2019 to explore the interactions between local planetary boundary layer (PBL) structures and large-scale atmospheric processes driving PM<sub>2.5</sub> pollution in Tangshan. The results indicate that seasonal variations in PM<sub>2.5</sub> pollution levels are closely linked to changes in PBL thermal stability. During winter, day-to-day increases in PM<sub>2.5</sub> concentrations are often tied to atmospheric warming above 1500 m, as enhanced thermal inversions and reduced PBL heights lead to pollutant accumulation. Regionally, this aloft warming is driven by a high-pressure system at 850 hPa over the southern North China Plain, accompanied by prevailing southwesterly winds. Additionally, southwesterly winds within the PBL can transport pollutants from the adjacent Beijing-Tianjin-Hebei region to Tangshan, worsening pollution. Simulations from the chemical transport model indicate that regional pollutant transport can contribute to approximately half of the near-surface PM<sub>2.5</sub> concentration under the unfavorable synoptic conditions. These findings underscore the importance of multi-scale meteorology in predicting and mitigating severe wintertime PM<sub>2.5</sub> pollution in Tangshan and surrounding regions.

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Publication Details

Journal
Toxics
Published
2024-09-22
DOI
https://doi.org/10.3390/toxics12090685
Citations
8
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
3.01

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article

Multi-Scale Meteorological Impact on PM2.5 Pollution in Tangshan, Northern China

Xinxuan Zhang, Shuhua Liu, Qian Liang, Yucong Miao
8 citations
Toxics
Atmospheric chemistry and aerosols
3.01
article

Multi-Scale Meteorological Impact on PM2.5 Pollution in Tangshan, Northern China

Xinxuan Zhang, Shuhua Liu, Qian Liang, Yucong Miao
article en
8 citations

Abstract

Tangshan, a major industrial and agricultural center in northern China, frequently experiences significant PM<sub>2.5</sub> pollution events during winter, impacting its large population. These pollution episodes are influenced by multi-scale meteorological processes, though the complex mechanisms remain not fully understood. This study integrates surface PM<sub>2.5</sub> concentration data, ground-based and upper-air meteorological observations, and ERA5 reanalysis data from 2015 to 2019 to explore the interactions between local planetary boundary layer (PBL) structures and large-scale atmospheric processes driving PM<sub>2.5</sub> pollution in Tangshan. The results indicate that seasonal variations in PM<sub>2.5</sub> pollution levels are closely linked to changes in PBL thermal stability. During winter, day-to-day increases in PM<sub>2.5</sub> concentrations are often tied to atmospheric warming above 1500 m, as enhanced thermal inversions and reduced PBL heights lead to pollutant accumulation. Regionally, this aloft warming is driven by a high-pressure system at 850 hPa over the southern North China Plain, accompanied by prevailing southwesterly winds. Additionally, southwesterly winds within the PBL can transport pollutants from the adjacent Beijing-Tianjin-Hebei region to Tangshan, worsening pollution. Simulations from the chemical transport model indicate that regional pollutant transport can contribute to approximately half of the near-surface PM<sub>2.5</sub> concentration under the unfavorable synoptic conditions. These findings underscore the importance of multi-scale meteorology in predicting and mitigating severe wintertime PM<sub>2.5</sub> pollution in Tangshan and surrounding regions.

ToxicsVol. 12(9)
Peking University (CN), Chinese Academy of Meteorological Sciences (CN)
National Natural Science Foundation of China, Beijing Nova Program, National Key Research and Development Program of China
Openalex Percentile: Top 8%
Atmospheric chemistry and aerosols
3.01
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