Industrial Heat Source-Related PM2.5 Concentration Estimates and Analysis Using New Three-Stage Model in the Beijing–Tianjin–Hebei Region

IF 2.5 4区 地球科学 Q3 ENVIRONMENTAL SCIENCES Atmosphere Pub Date : 2024-01-20 DOI:10.3390/atmos15010131
Yi Zeng, Xin Sui, Caihong Ma, Ruilin Liao, Jin Yang, Dacheng Wang, Pengyu Zhang
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Abstract

The prevalent high-energy, high-pollution and high-emission economic model has led to significant air pollution challenges in recent years. The industrial sector in the Beijing–Tianjin–Hebei (BTH) region is a notable source of atmospheric pollutants, with industrial heat sources (IHSs) being primary contributors to this pollution. Effectively managing emissions from these sources is pivotal for achieving air pollution control goals in the region. A new three-stage model using multi-source long-term data was proposed to estimate atmospheric, delicate particulate matter (PM2.5) concentrations caused by IHS. In the first stage, a region-growing algorithm was used to identify the IHS radiation areas. In the second and third stages, based on a seasonal trend decomposition procedure based on Loess (STL), multiple linear regression, and U-convLSTM models, IHS-related PM2.5 concentrations caused by meteorological and anthropogenic conditions were removed using long-term data from 2012 to 2021. Finally, this study analyzed the spatial and temporal variations in IHS-related PM2.5 concentrations in the BTH region. The findings reveal that PM2.5 concentrations in IHS radiation areas were higher than in background areas, with approximately 33.16% attributable to IHS activities. A decreasing trend in IHS-related PM2.5 concentrations was observed. Seasonal and spatial analyses indicated higher concentrations in the industrially dense southern region, particularly during autumn and winter. Moreover, a case study in Handan’s She County demonstrated dynamic fluctuations in IHS-related PM2.5 concentrations, with notable reductions during periods of industrial inactivity. Our results aligned closely with previous studies and actual IHS operations, showing strong positive correlations with related industrial indices. This study’s outcomes are theoretically and practically significant for understanding and addressing the regional air quality caused by IHSs, contributing positively to regional environmental quality improvement and sustainable industrial development.
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利用新型三阶段模型估算和分析京津冀地区与工业热源相关的 PM2.5 浓度
近年来,高能耗、高污染、高排放的经济模式导致了严重的空气污染问题。京津冀(BTH)地区的工业部门是大气污染物的重要来源,其中工业热源(IHS)是造成污染的主要因素。有效管理这些污染源的排放对实现该地区的大气污染控制目标至关重要。我们提出了一个新的三阶段模型,利用多源长期数据来估算工业热源造成的大气微妙颗粒物(PM2.5)浓度。在第一阶段,使用区域增长算法确定 IHS 辐射区域。在第二和第三阶段,根据基于黄土(STL)的季节趋势分解程序、多元线性回归和 U-convLSTM 模型,利用 2012 年至 2021 年的长期数据,去除由气象和人为条件引起的与 IHS 相关的 PM2.5 浓度。最后,本研究分析了 BTH 地区与 IHS 相关的 PM2.5 浓度的时空变化。研究结果显示,IHS辐射区域的PM2.5浓度高于本底区域,其中约33.16%可归因于IHS活动。与IHS相关的PM2.5浓度呈下降趋势。季节和空间分析表明,工业密集的南部地区浓度较高,尤其是在秋冬季节。此外,在邯郸涉县进行的一项案例研究表明,与 IHS 相关的 PM2.5 浓度存在动态波动,在工业不活跃时期浓度明显降低。我们的研究结果与之前的研究和 IHS 的实际运行情况密切相关,显示出与相关工业指数的强烈正相关性。这项研究的成果对于理解和解决 IHS 引起的区域空气质量问题具有重要的理论和实践意义,对区域环境质量改善和工业可持续发展具有积极的促进作用。
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来源期刊
Atmosphere
Atmosphere METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
4.60
自引率
13.80%
发文量
1769
审稿时长
1 months
期刊介绍: Atmosphere (ISSN 2073-4433) is an international and cross-disciplinary scholarly journal of scientific studies related to the atmosphere. It publishes reviews, regular research papers, communications and short notes, and there is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental and/or methodical details must be provided for research articles.
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