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

IF 3.9 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Toxics Pub Date : 2024-09-22 DOI:10.3390/toxics12090685
Qian Liang, Xinxuan Zhang, Yucong Miao, Shuhua Liu
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Abstract

Tangshan, a major industrial and agricultural center in northern China, frequently experiences significant PM2.5 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 PM2.5 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 PM2.5 pollution in Tangshan. The results indicate that seasonal variations in PM2.5 pollution levels are closely linked to changes in PBL thermal stability. During winter, day-to-day increases in PM2.5 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 PM2.5 concentration under the unfavorable synoptic conditions. These findings underscore the importance of multi-scale meteorology in predicting and mitigating severe wintertime PM2.5 pollution in Tangshan and surrounding regions.

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多尺度气象对中国北方唐山 PM2.5 污染的影响。
唐山是中国北方主要的工业和农业中心,冬季经常出现严重的 PM2.5 污染事件,对其庞大的人口造成影响。这些污染事件受到多尺度气象过程的影响,但其中的复杂机制仍未完全明了。本研究整合了地表PM2.5浓度数据、地面和高空气象观测数据以及2015年至2019年的ERA5再分析数据,探讨了本地行星边界层(PBL)结构与驱动唐山PM2.5污染的大尺度大气过程之间的相互作用。结果表明,PM2.5污染水平的季节性变化与行星边界层热稳定性的变化密切相关。在冬季,PM2.5 浓度的逐日增加往往与 1500 米以上的大气变暖有关,因为热倒转增强和 PBL 高度降低导致污染物累积。从区域来看,这种高空变暖是由华北平原南部上空 850 hPa 的高压系统和盛行西南风驱动的。此外,PBL 内的西南风会将邻近京津冀地区的污染物输送到唐山,从而加剧污染。化学传输模式的模拟结果表明,在不利的同步条件下,区域污染物传输可导致近地面 PM2.5 浓度的一半左右。这些发现强调了多尺度气象学在预测和缓解唐山及周边地区冬季 PM2.5 严重污染中的重要性。
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来源期刊
Toxics
Toxics Chemical Engineering-Chemical Health and Safety
CiteScore
4.50
自引率
10.90%
发文量
681
审稿时长
6 weeks
期刊介绍: The Journal accepts papers describing work that furthers our understanding of the exposure, effects, and risks of chemicals and materials in humans and the natural environment as well as approaches to assess and/or manage the toxicological and ecotoxicological risks of chemicals and materials. The journal covers a wide range of toxic substances, including metals, pesticides, pharmaceuticals, biocides, nanomaterials, and polymers such as micro- and mesoplastics. Toxics accepts papers covering: The occurrence, transport, and fate of chemicals and materials in different systems (e.g., food, air, water, soil); Exposure of humans and the environment to toxic chemicals and materials as well as modelling and experimental approaches for characterizing the exposure in, e.g., water, air, soil, food, and consumer products; Uptake, metabolism, and effects of chemicals and materials in a wide range of systems including in-vitro toxicological assays, aquatic and terrestrial organisms and ecosystems, model mammalian systems, and humans; Approaches to assess the risks of chemicals and materials to humans and the environment; Methodologies to eliminate or reduce the exposure of humans and the environment to toxic chemicals and materials.
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