Atmospheric Environment最新文献_第8页

Assessment of Pandora and S5P/TROPOMI observations for investigating tropospheric NO2 vertical column densities in Thailand Pandora和S5P/TROPOMI观测对泰国对流层NO2垂直柱密度的评估

IF 3.7 2区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Atmospheric Environment

Pub Date : 2025-12-10 DOI: 10.1016/j.atmosenv.2025.121738

Worapan Kanchanachat

This study examines tropospheric nitrogen dioxide (NO₂) vertical column densities (VCDs) over Thailand using ground-based Pandora observations in Bangkok and S5P/TROPOMI satellite data at the national scale. Pandora measurements reveal distinct diurnal and weekly cycles, with sharp rush-hour peaks and lower weekend values, reflecting strong anthropogenic influence. Monthly and seasonal analyses show that NO₂ is highest in winter and lowest during the monsoon, influenced by the height of the boundary layer, precipitation, and photolysis rates. A comparison of Pandora and S5P/TROPOMI monthly averages shows strong temporal agreement while revealing a consistent low bias in S5P/TROPOMI. A seasonal breakdown shows the highest agreement in summer, moderate agreement in winter, and the poorest performance during the rainy season. At the national scale, the highest NO₂ levels are concentrated in central Thailand, especially Bangkok (5.59 × 10¹⁵ molec/cm²). Elevated column amounts also appear across the Bangkok Metropolitan Region and the Eastern Economic Corridor, consistent with urban–industrial sources, while Lampang exhibits a distinct hotspot associated with emissions from the Mae Moh power plant. The seasonal variation of aerosol optical depth (AOD) also follows the NO₂ pattern, with high AOD corresponding to elevated NO₂ levels during winter in central Thailand and during summer in northern Thailand. In contrast, both AOD and NO₂ decrease substantially during the rainy season due to enhanced wet deposition and more efficient atmospheric cleansing. These results highlight the dominant influence of traffic, industry, and power generation on Thailand's NO₂ burden.

本研究利用曼谷的Pandora地面观测资料和全国范围内的S5P/TROPOMI卫星资料，研究了泰国上空对流层二氧化氮（NO2）垂直柱密度（vcd）。Pandora的测量结果显示出明显的日和周循环，高峰时段峰值明显，周末值较低，反映出强烈的人为影响。月和季节分析表明，受边界层高度、降水和光解速率的影响，NO2在冬季最高，在季风期间最低。Pandora和S5P/TROPOMI月平均值的比较显示出强烈的时间一致性，同时显示出S5P/TROPOMI的一致性低偏差。按季节划分，夏季一致性最高，冬季一致性中等，雨季最差。在全国范围内，NO2水平最高的地区集中在泰国中部，特别是曼谷（5.59 × 1015分子/cm2）。在曼谷大都会区和东部经济走廊也出现了高柱量，与城市工业来源一致，而南邦则表现出与Mae Moh发电厂排放相关的独特热点。气溶胶光学深度（AOD）的季节变化也遵循NO2模式，在泰国中部冬季和泰国北部夏季，AOD高对应NO2水平升高。相比之下，在雨季，由于湿沉降增强和更有效的大气净化，AOD和NO2都大幅减少。这些结果突出了交通、工业和发电对泰国二氧化氮负担的主要影响。

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引用次数: 0

Accurate gas chromatographic determination of methane concentration in portable bag by direct comparison with highly pressurized calibration cylinder 气相色谱法与高压定标瓶直接比对便携袋中甲烷浓度的精确测定

IF 3.7 2区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Atmospheric Environment

Pub Date : 2025-12-10 DOI: 10.1016/j.atmosenv.2025.121736

Namgoo Kang , Hyun-Cheol Jeong

Accurate methane concentration measurements are essential for trace gas flux studies in agricultural and environmental research, such as estimating emissions from rice paddies. We developed a novel direct calibration method with high pressure cylinders for determination of methane in atmospheric pressure portable bags using gas chromatography with flame ionization detection. This advanced approach eliminates the time-consuming and error-prone indirect calibration process frequently used in real practice. We modeled gas behavior in the sample loop, ensuring consistent pressure across container types. Four sampling configurations were tested, with Configuration 1 achieving negligible biases (−0.083 to −0.310 μmol mol⁻¹) across methane concentrations of 27.9–48.6 μmol mol⁻¹ in N₂ or synthetic air, compared to significant biases (−4.1 % to −11.4 %) in Configurations 2–4 due to improper gas flow. A strong linear cause-and-effect relationship (R² = 0.9953) was established between gas pressure bias in the SL and methane concentration bias. The single-point-through-origin calibration model, supported by a detailed uncertainty estimation, showed a maximum relative bias of −0.83 % for Configuration 1, statistically insignificant at the 95 % confidence level (expanded uncertainty 1.1 %, 0.31 μmol mol⁻¹). The equivalence decision criterion (D ≤ 1.0) confirmed that methane concentrations in Tedlar bags were statistically indistinguishable from calibration cylinders. This analytical approach enhances the practical benefits of portable bags, including their lightweight design and ease of handling, for reliable sample storage and transport. The findings provide theoretical insights and practical guidance for reliable methane quantification, applicable to greenhouse gas analysis across various sectors, improving the accuracy of trace gas flux measurements.

精确的甲烷浓度测量对于农业和环境研究中的微量气体通量研究至关重要，例如估算稻田的排放量。采用气相色谱-火焰电离检测法，建立了一种高压气瓶直接定标常压手提式袋装甲烷的方法。这种先进的方法消除了实际中经常使用的耗时且容易出错的间接校准过程。我们模拟了样品循环中的气体行为，确保各种容器类型的压力一致。测试了四种采样配置，配置1在氮气或合成空气中甲烷浓度为27.9-48.6 μmol mol - 1时，偏差可以忽略（- 0.083至- 0.310 μmol mol - 1），而配置2-4由于气体流动不当，偏差显著（- 4.1%至- 11.4%）。SL气体压力偏差与甲烷浓度偏差之间存在较强的线性因果关系（R2 = 0.9953）。在详细的不确定度估计支持下，单点穿过原点的校准模型显示配置1的最大相对偏差为- 0.83%，在95%的置信水平（扩展不确定度1.1%,0.31 μmol mol−1）下统计不显著。等效判定准则（D≤1.0）证实了telar袋中的甲烷浓度与校准瓶中的甲烷浓度在统计学上无法区分。这种分析方法增强了便携袋的实际好处，包括其轻巧的设计和易于处理，用于可靠的样品存储和运输。这些发现为可靠的甲烷定量提供了理论见解和实践指导，适用于各个部门的温室气体分析，提高了微量气体通量测量的准确性。

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引用次数: 0

Corrigendum to “Particle size distributions of current-use pesticides in three European atmospheric environments” [Atmos. Environ. 334 (2024) 120680] “当前使用的农药在三个欧洲大气环境中的粒径分布”的勘误表[Atmos。环境。334 (2024)120680]

IF 3.7 2区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Atmospheric Environment

Pub Date : 2025-12-10 DOI: 10.1016/j.atmosenv.2025.121624

Ludovic Mayer , Lisa Melymuk , Darius Ceburnis , Céline Degrendele , Adela Holubová Šmejkalová , Petra Přibylová , Petr Šenk , Jakub Vinkler , Gerhard Lammel

引用次数: 0

High-efficiency in situ detection of atmospheric isoprene peroxyl radicals by furan-based fluorescent probe 呋喃基荧光探针高效原位检测大气中异戊二烯过氧基自由基

IF 3.7 2区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Atmospheric Environment

Pub Date : 2025-12-09 DOI: 10.1016/j.atmosenv.2025.121739

Xin Li , Jiaxian Li , Shiming jia , Guoying Wang

Organic peroxyl radicals (RO₂·) serve as crucial intermediates in atmospheric volatile organic compounds (VOCs) degradation process, playing a pivotal role in the formation of secondary air pollution in the atmosphere. Among naturally generated RO₂ radical species, the Isoprene peroxyl radical derived from the oxidation of isoprene produced by plants, exhibits a relatively high concentration. It can drive the formation of photochemical ozone (O₃), facilitate the formation of secondary organic aerosols (SOA) and organic nitrates, and is of critical importance in modulating the atmospheric oxidation capacity. Consequently, the accurate detection of the chemical behavior of isoprene peroxyl radical is of great significance for simulating and predicting regional air quality and evaluating the impact of nitrogen deposition on ecosystems. In this study, we for the first time report a furan - based fluorescent probe (IND-F). Through a specific capture reaction, this probe enables the in-situ quantitative detection of isoprene peroxyl radicals (ISOP34O2) in the atmosphere for the first time. This method features high sensitivity and offers a novel tool for the direct and convenient monitoring of specific radical species in the atmospheric environment.

有机过氧自由基（RO2·）是大气挥发性有机物（VOCs）降解过程中至关重要的中间体，在大气二次污染的形成中起着举足轻重的作用。在自然生成的RO2自由基种类中，由植物产生的异戊二烯氧化产生的异戊二烯过氧自由基浓度较高。它可以驱动光化学臭氧（O3）的形成，促进二次有机气溶胶（SOA）和有机硝酸盐的形成，对调节大气氧化能力至关重要。因此，准确检测异戊二烯过氧基的化学行为对于模拟和预测区域空气质量以及评价氮沉降对生态系统的影响具有重要意义。在这项研究中，我们首次报道了一种呋喃基荧光探针（IND-F）。通过特定的捕获反应，该探针首次实现了大气中异戊二烯过氧自由基（ISOP34O2）的原位定量检测。该方法灵敏度高，为直接、方便地监测大气环境中特定自由基提供了一种新的工具。

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引用次数: 0

Chemical characteristics and source apportionment of free amino acids in the Qinling forest atmosphere of central China 秦岭森林大气中游离氨基酸的化学特征及来源解析

IF 3.7 2区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Atmospheric Environment

Pub Date : 2025-12-08 DOI: 10.1016/j.atmosenv.2025.121734

Xin Zhang , Rui Wang , Jianjun Li , Shuyan Xing , Lijuan Li , Yue Lin , Junji Cao , Yuemei Han

Free amino acids (FAAs) in ambient PM_2.5 samples were investigated at a forest site in the Qinling Mountains region of central China to explore their chemical characteristics, potential atmospheric processes, and sources across four seasons of 2021–2022. A total of 14 FAAs were quantitatively characterized using ultrahigh performance liquid chromatograph coupled with a high-resolution Orbitrap mass spectrometer. The mass concentrations of total FAAs varied from 6.4 to 48.5 ng m⁻³ (mean 23 ± 11 ng m⁻³) over the study periods, with higher levels in spring and summer. The compositional characteristics of total FAAs varied in different seasons. Among them, valine was mostly abundant, accounting for 39 ± 5 % of total FAAs, followed by alanine (14 ± 5 %) and glycine (14 ± 6 %). The correlations of FAAs with oxidants O₃ and NO₂ suggest that atmospheric oxidation capacity promoted their production, but the effects on individual ones varied. The total FAAs correlated negatively with ambient relative humidity but positively with temperature, indicating that meteorology was important factors governing the FAAs formation. Seven sources for PM_2.5 and FAAs, including biomass burning, gasoline vehicles exhaust, biological emissions, coal combustion, secondary formation, dust, and agricultural activities, were resolved from positive matrix factorization analysis. Biological emissions and agricultural activities were found to be the dominant sources of FAAs in this forest atmosphere. The contributions of these sources to individual FAAs varied substantially across different seasons. This study highlights the seasonal variability in the compositional characteristics of FAAs affected by the environmental factors and sources.

在中国中部秦岭地区的一个森林站点，研究了2021-2022年四个季节环境PM2.5样本中的游离氨基酸（FAAs）的化学特征、潜在的大气过程和来源。采用超高高效液相色谱仪和高分辨率Orbitrap质谱联用仪对14个FAAs进行了定量表征。在研究期间，总FAAs的质量浓度在6.4 ~ 48.5 ng m−3（平均23±11 ng m−3）之间变化，春季和夏季水平较高。不同季节总FAAs的组成特征不同。其中缬氨酸含量最多，占总FAAs的39±5%，其次是丙氨酸（14±5%）和甘氨酸（14±6%）。FAAs与氧化剂O3和NO2的相关性表明，大气氧化能力促进了FAAs的产生，但对单个FAAs的影响存在差异。FAAs总量与环境相对湿度负相关，与温度正相关，说明气象是影响FAAs形成的重要因素。通过正矩阵分解分析，确定了PM2.5和FAAs的7个来源，包括生物质燃烧、汽油车尾气、生物排放、煤炭燃烧、二次地层、粉尘和农业活动。生物排放和农业活动是森林大气中FAAs的主要来源。这些来源对单个FAAs的贡献在不同季节差异很大。本研究强调了受环境因子和来源影响的FAAs组成特征的季节变化。

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引用次数: 0

Impact of particulate matter and gaseous pollutants on NAFLD risk: A prospective cohort study among employed adults in Southwest China 颗粒物和气体污染物对NAFLD风险的影响：中国西南地区就业成年人的前瞻性队列研究

IF 3.7 2区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Atmospheric Environment

Pub Date : 2025-12-08 DOI: 10.1016/j.atmosenv.2025.121735

Jinxiang Zhu , Peng Yu , Xu Qiao , Bin Yu , Peng Jia , Jan D. Reinhardt , Shujuan Yang

Background

While long-term exposure to air pollutants may increase the risk of non-alcoholic fatty liver disease (NAFLD), the relative contributions of different air pollutants and the role of particulate matter (PM_x) size remain elusive. We investigated independent and joint effects of long-term exposure to PM of different sizes (PM₁, PM_2.5, PM₁₀, PM_1-2.5, and PM_2.5-10) and gaseous pollutants (NO₂, SO₂, and CO) on NAFLD incidence, as well as the impact of different PM_2.5 components.

Methods

This prospective study included 31,105 participants from the Chinese Cohort of Working Adults (CCWA). Newly diagnosed cases of NAFLD were identified through ultrasound-based diagnosis of hepatic steatosis during physical examination. Logistic regression was employed to estimate associations of individual air pollutants and PM_2.5 components with NAFLD. Weighted Quantile Sum (WQS) regression assessed the joint effect of air pollutants and their relative contribution to the joint effect. Stratified analyses by demographic, behavioral, and health factors were also conducted.

Results

Each interquartile increase in the exposure to individual air pollutants and PM_2.5 components was associated with a higher incidence of NAFLD. PM_1-2.5 showed the strongest positive association (OR: 1.21, 95 % CI: 1.15–1.28). Among PM_2.5 components, organic matter (OM) had the highest independent effect (OR: 1.19, 95 % CI: 1.12–1.26). Among all included pollutants, PM_1-2.5 contributed most (71 %) to the joint effect on the NAFLD incidence at follow-up, followed by PM₁ (16 %) and NO₂ (13 %); of the PM_2.5 components, OM contributed the most (56 %). Effects of air pollutants on the NAFLD incidence were more pronounced in men and smokers.

Conclusion

Long-term exposure to PM_1-2.5 within the PM_2.5 size range most importantly affects new-onset NAFLD, and within PM_2.5 components OM appears to be the most relevant contributor. This study may provide valuable insights into implementing preventive strategies for NAFLD.

虽然长期暴露于空气污染物可能增加非酒精性脂肪性肝病（NAFLD）的风险，但不同空气污染物的相对贡献和颗粒物（PMx）大小的作用仍然难以捉摸。我们研究了长期暴露于不同大小的PM （PM1, PM2.5, PM10, PM1-2.5和PM2.5-10）和气态污染物（NO2， SO2和CO）对NAFLD发病率的独立和联合影响，以及不同PM2.5成分的影响。方法本前瞻性研究纳入了来自中国工作成年人队列（CCWA）的31,105名参与者。新诊断的NAFLD病例在体格检查时通过超声诊断肝脂肪变性来确定。采用Logistic回归估计单个空气污染物和PM2.5成分与NAFLD的关联。加权分位数和（WQS）回归评估了空气污染物的联合效应及其对联合效应的相对贡献。还进行了人口统计学、行为学和健康因素的分层分析。结果暴露于单个空气污染物和PM2.5成分的每增加四分位数，NAFLD的发病率就会增加。PM1-2.5呈最强正相关（OR: 1.21, 95% CI: 1.15 ~ 1.28）。在PM2.5组分中，有机物（OM）的独立影响最大（OR: 1.19, 95% CI: 1.12 ~ 1.26）。在所有纳入的污染物中，PM1-2.5对随访时NAFLD发病率的共同影响最大（71%），其次是PM1（16%）和NO2 (13%)；PM2.5成分中，OM的贡献最大（56%）。空气污染物对NAFLD发病率的影响在男性和吸烟者中更为明显。结论长期暴露于PM2.5浓度范围内的PM1-2.5对新发NAFLD的影响最大，而PM2.5成分中OM的影响最大。本研究可能为实施NAFLD的预防策略提供有价值的见解。

{"title":"Impact of particulate matter and gaseous pollutants on NAFLD risk: A prospective cohort study among employed adults in Southwest China","authors":"Jinxiang Zhu , Peng Yu , Xu Qiao , Bin Yu , Peng Jia , Jan D. Reinhardt , Shujuan Yang","doi":"10.1016/j.atmosenv.2025.121735","DOIUrl":"10.1016/j.atmosenv.2025.121735","url":null,"abstract":"<div><h3>Background</h3><div>While long-term exposure to air pollutants may increase the risk of non-alcoholic fatty liver disease (NAFLD), the relative contributions of different air pollutants and the role of particulate matter (PM<sub>x</sub>) size remain elusive. We investigated independent and joint effects of long-term exposure to PM of different sizes (PM<sub>1</sub>, PM<sub>2.5</sub>, PM<sub>10</sub>, PM<sub>1-2.5</sub>, and PM<sub>2.5-10</sub>) and gaseous pollutants (NO<sub>2</sub>, SO<sub>2</sub>, and CO) on NAFLD incidence, as well as the impact of different PM<sub>2.5</sub> components.</div></div><div><h3>Methods</h3><div>This prospective study included 31,105 participants from the Chinese Cohort of Working Adults (CCWA). Newly diagnosed cases of NAFLD were identified through ultrasound-based diagnosis of hepatic steatosis during physical examination. Logistic regression was employed to estimate associations of individual air pollutants and PM<sub>2.5</sub> components with NAFLD. Weighted Quantile Sum (WQS) regression assessed the joint effect of air pollutants and their relative contribution to the joint effect. Stratified analyses by demographic, behavioral, and health factors were also conducted.</div></div><div><h3>Results</h3><div>Each interquartile increase in the exposure to individual air pollutants and PM<sub>2.5</sub> components was associated with a higher incidence of NAFLD. PM<sub>1-2.5</sub> showed the strongest positive association (OR: 1.21, 95 % CI: 1.15–1.28). Among PM<sub>2.5</sub> components, organic matter (OM) had the highest independent effect (OR: 1.19, 95 % CI: 1.12–1.26). Among all included pollutants, PM<sub>1-2.5</sub> contributed most (71 %) to the joint effect on the NAFLD incidence at follow-up, followed by PM<sub>1</sub> (16 %) and NO<sub>2</sub> (13 %); of the PM<sub>2.5</sub> components, OM contributed the most (56 %). Effects of air pollutants on the NAFLD incidence were more pronounced in men and smokers.</div></div><div><h3>Conclusion</h3><div>Long-term exposure to PM<sub>1-2.5</sub> within the PM<sub>2.5</sub> size range most importantly affects new-onset NAFLD, and within PM<sub>2.5</sub> components OM appears to be the most relevant contributor. This study may provide valuable insights into implementing preventive strategies for NAFLD.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"367 ","pages":"Article 121735"},"PeriodicalIF":3.7,"publicationDate":"2025-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145920695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Urbanization, air pollution, associated islands, and health hazards across six IGP cities 六个IGP城市的城市化、空气污染、相关岛屿和健康危害

IF 3.7 2区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Atmospheric Environment

Pub Date : 2025-12-04 DOI: 10.1016/j.atmosenv.2025.121716

Asmita Mukherjee, Jagabandhu Panda, Debjyoti Roy, Geo Tom, Ankan Sarkar

Uncontrolled urbanization has deep-rooted impacts on the environment, including weather, climate, and pollution, threatening the sustainability of cities. The current study focuses on six cities of the Indo-Gangetic Plain (IGP), which act as hotspots of air pollution across the country. Machine learning (ML) algorithms were utilized to analyze and forecast four major air pollutants, viz., NO₂, SO₂, O₃, and PM_2.5. The model performances based on RMSE, MAE, and R² values suggested that Linear Regression (LR) outperformed other models considered, and was more accurate in short-term prediction. In most of the considered cities, the overall trends (Mann-Kendall test) of four selected air pollutants are expected to remain unaltered in coming years, except for Delhi and Ludhiana. The PM_2.5 concentrations exhibit a strong increasing trend both during the observed and forecasted period, except for Chandigarh-Mohali. Notably, Kolkata exhibited an increasing trend for all four air pollutants while demonstrating higher values of PM_2.5 (200–450 μg/m³), which were greatly impacted by the pollution from nearby land and transport pathways over neighboring oceans. The analysis and forecasting (using ConvLSTM model) of urban land use was done to further associate urbanization with air pollution. Strong correlation signatures were noticed in all cities, either at the core or near the periphery (except for Chandigarh-Mohali), when the interplay was assessed through urban heat and pollution islands. Therefore, with prolonged exposure to air pollutants, the urban population is at higher risk of several pulmonary ailments, as the estimated mortality associated with PM_2.5 for cardiovascular, respiratory, and lung infections indicated a constant increase over the years.

不受控制的城市化对环境造成了根深蒂固的影响，包括天气、气候和污染，威胁着城市的可持续性。目前的研究集中在印度恒河平原（IGP）的六个城市，这些城市是全国空气污染的热点。利用机器学习（ML）算法对NO2、SO2、O3和PM2.5四种主要空气污染物进行分析和预测。基于RMSE， MAE和R2值的模型性能表明，线性回归（LR）优于其他考虑的模型，并且在短期预测中更准确。在大多数被考虑的城市中，四种选定的空气污染物的总体趋势（曼-肯德尔测试）预计在未来几年将保持不变，除了德里和卢迪亚纳。除昌迪加尔-莫哈里外，PM2.5浓度在观测期内和预测期内均呈现较强的上升趋势。值得注意的是，加尔各答所有四种空气污染物均呈上升趋势，同时PM2.5值较高（200-450 μg/m3），这在很大程度上受到附近陆地污染和邻近海洋运输途径的影响。利用ConvLSTM模型对城市土地利用进行分析和预测，进一步将城市化与空气污染联系起来。当通过城市热岛和污染岛评估相互作用时，所有城市（除昌迪加尔-莫哈里外）都注意到强相关特征，无论是在核心还是在外围)。因此，随着长时间暴露于空气污染物中，城市人口患几种肺部疾病的风险更高，因为与PM2.5相关的心血管、呼吸和肺部感染的估计死亡率逐年上升。

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引用次数: 0

Moderating effects of residential green and blue spaces on particulate matter related myocardial infarction mortality: A multicity time-stratified case-crossover study 住宅绿地和蓝色空间对颗粒物相关心肌梗死死亡率的调节作用：一项多城市时间分层病例交叉研究

IF 3.7 2区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Atmospheric Environment

Pub Date : 2025-12-04 DOI: 10.1016/j.atmosenv.2025.121732

Yingru Gong , Jiahui Zhou , Haisheng Wu , Yueyue Zhu , Chengzhi Xing , Xinqi Wang , Chao Zhang , Danni Wang , Yuhui Wan , Xuehuan Gao , Yanlong Xu , Qinghua Xu , Jinping Ou

Objective

Although the benefits of green and blue spaces on human health are widely recognized, their modifying effect on the association between particulate matter (PM) exposure and the mortality risk of myocardial infarction (MI) remains insufficiently documented.

Methods

A time-stratified case-crossover design was applied to analyze PM exposure and 13,629 MI-related deaths in Anhui Province from 2019 to 2023. Conditional logistic regression combined with natural cubic splines was used to estimate exposure–response relationships. Modification effects were evaluated for green spaces within 500–5000 m buffers and for different blue spaces.

Results

For every interquartile-range increase in PM_2.5 and PM₁₀ exposure during the lag period of 0–1 days, the odds ratios (OR) of MI mortality were 1.14 (95 % confidence interval [CI]: 1.11, 1.18) and 1.09 (95 % CI: 1.06, 1.13). Significant effect modification was observed only for green space within the 3000 m buffer (P < 0.05), with ORs of 1.10 (95 % CI: 1.05, 1.15) and 1.18 (95 % CI: 1.14, 1.23) in the high and low green space groups. PM₁₀-related risk was lower in the high blue space group than in the low blue space group (OR: 1.06 vs 1.13), with marginal statistical significance was detected (P = 0.063). Stronger PM–MI associations were observed in the cold season and among individuals aged ≥65 years (P < 0.05).

Conclusion

Green space, particularly within 3000 m of the residence, may mitigate PM-related MI mortality risk, whereas the modifying effect of blue space was not significant.

虽然绿色和蓝色空间对人类健康的益处已被广泛认识，但它们对颗粒物（PM）暴露与心肌梗死（MI）死亡风险之间关系的调节作用仍未得到充分的文献记录。方法采用时间分层病例交叉设计分析2019 - 2023年安徽省PM暴露与13629例mi相关死亡。条件逻辑回归结合自然三次样条估计暴露-反应关系。对500-5000米缓冲区内的绿地和不同的蓝色空间进行了改造效果评估。结果在0-1天的滞后期内，PM2.5和PM10暴露每增加一个四分位数，心肌梗死死亡率的比值比（OR）分别为1.14（95%可信区间[CI]: 1.11, 1.18）和1.09 （95% CI: 1.06, 1.13）。仅在3000 m缓冲区内的绿地上观察到显著的效应变化（P < 0.05），高绿地组和低绿地组的or值分别为1.10 （95% CI: 1.05, 1.15）和1.18 （95% CI: 1.14, 1.23）。高蓝天组pm10相关风险低于低蓝天组（OR: 1.06 vs 1.13），差异有统计学意义（P = 0.063）。在寒冷季节和年龄≥65岁的人群中，PM-MI的相关性更强（P < 0.05）。结论绿地可降低pm相关的心肌梗死死亡风险，特别是在住宅3000 m范围内，而蓝色空间的调节作用不显著。

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引用次数: 0

Study the effect of photochemical processes on VOC source apportionment at a site in the Pearl River Estuary of southern China 研究光化学过程对珠江口某地点VOC源分配的影响

IF 3.7 2区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Atmospheric Environment

Pub Date : 2025-12-03 DOI: 10.1016/j.atmosenv.2025.121718

Guizhen Fang , Yee Jun Tham , Lili Ming , Bing Wu , Jiayin Sun , Danna Zhao , Cuizhi Sun , Ying Yang , Haoyu Jiang , Haichao Wang , Shichun Zou , Yuan Gao , Zhenhao Ling

To advance the understanding of the characteristics and photochemical processes of VOCs in the Pearl River Estuary (PRE), an intensive field measurement campaign was conducted at an island site (Da Wan Shan Island, DWS) in winter, using a proton transfer reaction time-of-flight mass spectrometer (PTR-ToF-MS). A total of 133 VOC species were identified, with a mean total VOC mixing ratio of 8.2 ± 5.3 ppbv. Oxygenated VOCs (OVOCs), particularly C_xH_yO₁ (55.0 %) and C_xH_yO₂ (21.0 %) dominated the VOCs. Although the level of total VOCs was lower at DWS than that typically observed in the inland Pearl River Delta (PRD) region, distinct temporal and diurnal variations of VOCs were found in scenarios of different air masses (i.e., continental outflow (Scenarios A1 and A2) and marine air masses (Scenario A3)), which had undergone different degrees of photochemical processes. This indicated different photochemical evolutions and sources of VOCs. The source apportionment results of PMF with the input of initial (IC-PMF) and observed concentrations (OC-PMF) were compared to further evaluate the influence of photochemical consumption on the source apportionment results. We found that photochemical oxidation not only causes changes in VOC concentration and composition but also affects the source characteristics of VOCs. Through the IC-PMF results, vehicle + solid fuel combustion and liquid petroleum gas (LPG)-related emissions had higher contributions in continental outflow air masses of Scenarios A1 (12.6 % and 21.1 %) and A2 (16.9 % and 13.9 %), but only 3.3 % and 4.1 % in marine air masses (Scenarios A3), indicating that anthropogenic sources remain significant in PRD and PRE. Our study shows that outflow air masses from the PRD region has been through active photochemical processes, which can degrade the air quality over PRE, emphasizing the urgent need for mitigation of VOC emissions to reduce the photochemical pollution in this region.

为了进一步了解珠江口（PRE） VOCs的特征及其光化学过程，利用质子转移反应飞行时间质谱仪（PTR-ToF-MS）于冬季在大湾山岛（DWS）进行了大量野外测量。共鉴定出133种VOC，平均总VOC混合比为8.2±5.3 ppbv。含氧VOCs （OVOCs）以CxHyO1（55.0%）和CxHyO2（21.0%）为主。虽然DWS的总VOCs水平低于珠三角内陆地区的典型观测值，但不同气团（即大陆外流气团（A1和A2）和海洋气团（A3））经历了不同程度的光化学过程，其VOCs的时间和日变化差异明显。这表明VOCs的光化学演化和来源不同。将输入初始浓度（IC-PMF）和观测浓度（OC-PMF）的PMF源分配结果进行比较，进一步评价光化学消耗对源分配结果的影响。我们发现光化学氧化不仅会引起VOC浓度和组成的变化，还会影响VOCs的来源特征。通过IC-PMF的结果，车辆+固体燃料燃烧和液化石油气（LPG）相关排放在情景A1（12.6%和21.1%）和A2（16.9%和13.9%）的大陆流出气团中贡献更高，但在情景A3的海洋气团中贡献仅为3.3%和4.1%，表明人为源在珠三角和PRE中仍然重要。我们的研究表明，从珠三角地区流出的气团已经通过活跃的光化学过程，可以降低PRE的空气质量，强调迫切需要减少VOC的排放，以减少该地区的光化学污染。

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引用次数: 0

Retrieval of aerosol optical depth from INSAT-3DR for accurate geostationary monitoring of regional and temporal aerosol dynamics 从INSAT-3DR反演气溶胶光学深度，用于区域和时间气溶胶动力学的精确地球静止监测

IF 3.7 2区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Atmospheric Environment

Pub Date : 2025-12-03 DOI: 10.1016/j.atmosenv.2025.121730

Chakradhar Rao Tandule , Mukunda M. Gogoi , Shiba Shankar Gouda , S. Suresh Babu

Accurate, high-frequency monitoring of aerosols is essential for understanding their dynamic behaviour, regional transport pathways, environmental and climatic impacts. Geostationary satellites are particularly well-suited for this purpose. In this study, we utilized INSAT-3DR satellite observations to retrieve high-quality sub-hourly aerosol optical depth (AOD) using a data-driven approach guided by a physically meaningful and interpretable machine learning framework. For this, we constructed a novel fused AOD product by integrating ground-based and satellite-based observations through hybrid statistical approach. The fused AOD showed a strong correlation coefficient (r ∼ 0.95) and low root mean square error (RMSE ∼ 0.06) with ground-based observations. Making use of this fused AOD as the target variable, an XGBoost machine learning model is trained with features derived from INSAT-3DR visible and infrared channels. The resulting model demonstrates strong performance in retrieving AOD from INSAT-3DR (r ∼ 0.839 and RMSE ∼ 0.081; relative to fused AOD), effectively capturing the regional distribution of aerosol hotspots, sub-hourly variability, and key pollution events, indicating robust generalization across diverse aerosol regimes and surface types. Furthermore, INSAT-3DR AOD exhibits strong temporal consistency with the ground-based observations at sub-hourly and seasonal scales with site-specific RMSE generally within 0.10. These findings establish INSAT-3DR as a valuable platform for continuous aerosol monitoring and present a transferable framework for future geostationary missions aimed at environmental and climate applications.

对气溶胶进行精确的高频监测对于了解其动态行为、区域运输途径、环境和气候影响至关重要。地球同步卫星特别适合于这一目的。在这项研究中，我们利用INSAT-3DR卫星观测数据，在物理意义和可解释的机器学习框架的指导下，使用数据驱动的方法获取高质量的亚小时气溶胶光学深度（AOD）。为此，我们采用混合统计方法，将地基观测和星载观测相结合，构建了一种新型的融合AOD产品。融合后的AOD与地面观测结果具有很强的相关系数（r ~ 0.95）和较低的均方根误差（RMSE ~ 0.06）。利用这种融合的AOD作为目标变量，XGBoost机器学习模型使用来自INSAT-3DR可见光和红外通道的特征进行训练。所得模型在从INSAT-3DR中检索AOD方面表现出色（相对于融合AOD， r ~ 0.839和RMSE ~ 0.081），有效捕获气溶胶热点的区域分布、次小时变化和关键污染事件，表明在不同气溶胶状态和地表类型中具有强大的通用性。此外，INSAT-3DR AOD在次小时和季节尺度上与地面观测具有较强的时间一致性，站点特定的RMSE一般在0.10以内。这些发现确立了INSAT-3DR作为持续气溶胶监测的宝贵平台，并为未来旨在环境和气候应用的地球静止任务提供了一个可转移的框架。

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