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Bioaerosols and phosphorus in PM2.5 in a major Eastern Mediterranean city 东地中海一个主要城市PM2.5中的生物气溶胶和磷
IF 3.7 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2026-04-01 Epub Date: 2026-01-20 DOI: 10.1016/j.atmosenv.2026.121813
Kyriaki Papoutsidaki , Konstantina Oikonomou , Maria Tsagkaraki , Georgios Grivas , Kalliopi Tavernaraki , Faidra-Aikaterini Kozonaki , Irini Tsiodra , Aikaterini Bougiatioti , Nikos Mihalopoulos , Maria Kanakidou
This study presents novel observations of phosphorus, primary sugars, sugar alcohols and anhydro saccharides in fine atmospheric aerosols (PM2.5) in Athens, Greece, one of the largest cities in the eastern Mediterranean, obtained through multi-year sampling from Dec. 2018 to July 2021 (20 months in total). It also leverages additional aerosol composition data to identify and attribute P levels to natural and anthropogenic sources through receptor modeling. Total sugars concentrations had a median of 205 ng m−3 and varied from 12.6 to 3391 ng m−3, with primary sugars, sugar alcohols and anhydro saccharides contributing 22 %, 19 % and 59 %, respectively. The median total P (TP) concentration was 21.0 ng m−3 (2.64–179 ng m−3) during the study period. On average, sugars contributed 2.6 % to organic carbon and 4.9 % to water soluble organic carbon. Positive Matrix Factorization analysis (PMF) showed that bioaerosols were the major contributors (31 %) of TP, followed by traffic/resuspension (28 %), Sahara dust (19 %), regional transport (14 %) and sea salt (6 %). In addition, bioaerosols (fungi and pollen) contributed by ∼21 % to total PM2.5 mass. Overall natural sources accounted for approximately 50 % of the total PM2.5 mass, that is a notable finding highlighting the significant impact of non-anthropogenic sources on ambient PM2.5.
本研究通过2018年12月至2021年7月(共20个月)的多年采样,对地中海东部最大城市之一希腊雅典的细颗粒物(PM2.5)中的磷、原糖、糖醇和无水糖进行了新的观测。它还利用额外的气溶胶成分数据,通过受体模拟来确定P水平并将其归因于自然和人为来源。总糖浓度的中位数为205 ng m - 3,变化范围为12.6至3391 ng m - 3,其中原糖、糖醇和无水糖分别贡献了22%、19%和59%。研究期间总磷(TP)浓度中位数为21.0 ng m−3 (2.64 ~ 179 ng m−3)。平均而言,糖贡献了2.6%的有机碳和4.9%的水溶性有机碳。正矩阵分解分析(PMF)表明,生物气溶胶是总磷的主要贡献者(31%),其次是交通/再悬浮(28%)、撒哈拉沙尘(19%)、区域运输(14%)和海盐(6%)。此外,生物气溶胶(真菌和花粉)对PM2.5总质量的贡献约为21%。总体而言,自然源约占PM2.5总质量的50%,这是一个值得注意的发现,突出了非人为源对环境PM2.5的重大影响。
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引用次数: 0
Policy-driven emission reduction and the COVID-19 lockdown paradox: Long-term decline, short-term rebound, and regional heterogeneity of nocturnal atmospheric oxidation in the Yangtze River Delta 政策驱动减排与COVID-19封锁悖论:长三角夜间大气氧化长期下降、短期反弹及区域异质性
IF 3.7 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2026-04-01 Epub Date: 2026-01-23 DOI: 10.1016/j.atmosenv.2026.121812
Luyao Chen , Renzhi Hu , Longsheng Wei , Chuan Lin , Pinhua Xie
Nocturnal atmospheric oxidizing capacity plays a pivotal role in nitrogen oxide (NOx) transformation, ozone (O3) lifetime regulation, and particulate matter pollution control, with the nitrate radical (NO3) serving as the central species in nighttime oxidation processes. The spatiotemporal characteristics of nocturnal NO3 production rate (PNO3) and its influencing factors are investigated in the Yangtze River Delta (YRD) region based on ground-level observations and meteorological data from 2017 to 2024. The results demonstrated that the YRD region exhibited an overall declining trend in concentrations of NO2, O3, Ox and PNO3 under policy-driven emission reductions. However, NO2 and PNO3 concentrations experienced a temporary rebound during the 2020 pandemic period, while O3 levels showed a significant increase in 2022, revealing the nonlinear response of nocturnal oxidizing capacity to both policy interventions and pandemic restrictions. Based on the measured data of Hefei in summer from 2020 to 2022, the research identified that local high-intensity emissions can still form night-time oxidation hotspots.
夜间大气氧化能力在氮氧化物(NOx)转化、臭氧(O3)寿命调节和颗粒物污染控制中起着关键作用,其中硝酸盐自由基(NO3)是夜间氧化过程的中心物质。基于2017 - 2024年长江三角洲地区地面观测资料和气象资料,研究了该地区夜间硝态氮生成速率(PNO3)的时空特征及其影响因素。结果表明:在政策驱动下,长三角地区NO2、O3、Ox和PNO3的浓度总体呈下降趋势;然而,NO2和PNO3浓度在2020年大流行期间出现暂时反弹,而O3水平在2022年出现显著上升,揭示了夜间氧化能力对政策干预和大流行限制的非线性响应。基于合肥市2020 - 2022年夏季实测数据,研究发现局部高强度排放仍可形成夜间氧化热点。
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引用次数: 0
Evaluation of the performance of receptor statistical methods for quantifying desert dust contributions to ambient particulate for health studies and policy 评价用于量化沙漠尘埃对环境微粒的贡献的受体统计方法的性能,以供健康研究和政策之用
IF 3.7 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2026-04-01 Epub Date: 2026-01-27 DOI: 10.1016/j.atmosenv.2026.121831
Xavier Querol , Andrés Alastuey , Jorge Pey , Pedro Salvador , Adolfo González-Romero , Noemí Pérez
There is a body of evidence on the risk to human health posed by the exposure to desert dust. However, results from epidemiological studies from different regions are inconsistent. Among possible causes of inconsistency is the scarcity of daily desert dust contributions to PM10 and PM2.5 levels recorded in populated areas in order to conduct rigorous epidemiological studies, but also the lack of robust and harmonized methodologies to deliver airborne desert-dust concentrations. This study evaluated the performance of the main statistical methods currently used by European countries to estimate the net load of desert dust on PM10 and PM2.5 levels during the occurrence of desert dust outbreaks. To this end, long-term data series (2010–2023) on PM10 and PM2.5 levels and composition obtained in a regional background (Montseny) and an urban background (Barcelona) monitoring site, in Northeast Spain, were used. The results identify the most appropriate method for determining the regional daily PM10 background concentration, excluding dust-days. This involves applying a moving 50th percentile with a 30-day time window to data from nearby regional background environments. Such PM10 background is essential for calculating the daily net dust contribution (PM10 net-dust). However, applying this procedure to data from urban or industrial environments causes an overestimation of PM10 net-dust values, which intensifies with higher local PM10 levels. On the other hand, in the case of low PM10 net-dust values(<3 μg m−3) the relative errors are so high that it is not advisable to use these estimates of natural PM contributions to assess compliance with air quality standards. For PM2.5, however, the mineral dust content is much lower than for PM10. Consequently, applying the same methodology results in significantly greater relative errors in the PM2.5 net-dust estimates. In this case, it is also advisable to use PM2.5 data series obtained in regional background environments. However, if nearby regional background data is not available, the method can be applied directly to the evaluated urban or industrial datasets, but excluding traffic and industrial hotspots for the calculation of the PMnet-dust. In conclusion, accurately quantifying PMnet-dust is a complex issue, and it is necessary to continue improving current methods and developing new methods that allow for the most accurate estimation possible of daily desert dust contributions, especially for the low concentration ranges and for finer PM size fractions. The methodologies reported here are applicable to all regions affected by desert dust.
有大量证据表明,接触沙漠沙尘会对人类健康构成风险。然而,来自不同地区的流行病学研究结果并不一致。造成不一致的一个可能原因是,为了进行严格的流行病学研究,在人口稠密地区记录的每日沙漠沙尘对PM10和PM2.5水平的贡献很少,但也缺乏可靠和统一的方法来提供空气中沙漠沙尘浓度。本研究评估了欧洲国家目前用于估计沙漠沙尘爆发期间对PM10和PM2.5水平的净负荷的主要统计方法的性能。为此,使用了西班牙东北部地区背景(蒙塞尼)和城市背景(巴塞罗那)监测点获得的PM10和PM2.5水平和成分的长期数据序列(2010-2023年)。结果确定了确定区域每日PM10背景浓度(不包括沙尘天数)的最合适方法。这涉及到将移动的第50个百分位数与30天的时间窗口应用于附近区域背景环境的数据。这样的PM10背景对于计算日净粉尘贡献(PM10净粉尘)是必不可少的。然而,将这一过程应用于城市或工业环境的数据会导致对PM10净粉尘值的高估,这种高估会随着当地PM10水平的升高而加剧。另一方面,在低PM10净粉尘值(<3 μg m−3)的情况下,相对误差非常大,因此不建议使用这些自然PM贡献值来评估是否符合空气质量标准。然而,PM2.5的矿物粉尘含量远低于PM10。因此,采用相同的方法会导致PM2.5净粉尘估算的相对误差显著增大。在这种情况下,也建议使用在区域背景环境中获得的PM2.5数据系列。然而,如果附近的区域背景数据不可用,该方法可以直接应用于评估的城市或工业数据集,但不包括交通和工业热点来计算PMnet-dust。总之,准确量化pmnet粉尘是一个复杂的问题,有必要继续改进现有方法并开发新的方法,以尽可能准确地估计每日沙漠粉尘的贡献,特别是对于低浓度范围和更细的PM粒度分数。这里报告的方法适用于受沙尘影响的所有区域。
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引用次数: 0
Intrusion of Marine-continental mixed aerosols disturb cloud properties 海洋-大陆混合气溶胶的侵入扰乱了云的性质
IF 3.7 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2026-04-01 Epub Date: 2026-01-12 DOI: 10.1016/j.atmosenv.2026.121794
Shuo Wang , Wenqing Xu , Chang Liu , Jun Wang , Zhiming Yi , Liang Xu , Jing Han , Guangzhi Ren , Dianguo Zhang , Wenqing Wang , Weijun Li
Aerosol-cloud interactions (ACI) for marine-continental mixed aerosols (MCMA) in coastal zones remain poorly constrained in climate models. Combining aircraft observations and WRF simulations during a spring 2023 North China precipitation event, we demonstrate distinct vertical stratification: MCMA dominates below 3000 m with variable activation (4.2 %) due to compositional complexity, while continental aerosols (CA) prevail above 3000 m with lower activation (2.1 %) from homogeneous properties. MCMA's broader size distribution (enhanced giant aerosols >0.5 μm), yielding higher cloud droplet concentrations (Nc) but lower spectral dispersion (ε) than CA (Nc = 96.6 cm−3, ε = 0.263 vs. Nc = 57.5 cm−3, ε = 0.375). Integrating observed aerosol data into WRF revealed that parameterizing ε-Nc relationships under MCMA improves cloud microphysics representation, capturing cloud-water mixing ratios (up to 0.44 g kg−1) and precipitation patterns. Results highlight the critical role of aerosol mixing states in modulating cloud processes and necessitate refined parameterizations for coastal aerosols in climate models.
沿海地区海洋-大陆混合气溶胶(MCMA)的气溶胶-云相互作用(ACI)在气候模式中仍然缺乏约束。结合2023年春季华北降水事件的飞机观测和WRF模拟,我们发现了明显的垂直分层:MCMA在3000 m以下占主导地位,由于成分复杂性而具有可变激活(4.2%),而大陆气溶胶(CA)在3000 m以上占主导地位,由于均匀性而具有较低的激活(2.1%)。MCMA的尺寸分布更宽(增强的巨型气溶胶>;0.5 μm),产生比CA更高的云滴浓度(Nc)但更低的光谱色散(ε) (Nc = 96.6 cm−3,ε = 0.263 vs. Nc = 57.5 cm−3,ε = 0.375)。将观测到的气溶胶数据整合到WRF中表明,在MCMA下参数化ε-Nc关系可以改善云微物理表征,捕获云水混合比(高达0.44 g kg - 1)和降水模式。结果强调了气溶胶混合状态在调节云过程中的关键作用,并且需要在气候模式中对沿海气溶胶进行精细的参数化。
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引用次数: 0
Do regional background sites capture changes in primary PM2.5 emissions at the national scale? Recent trends in PM2.5 in rural environments in metropolitan France 区域背景站点能捕捉到全国范围内PM2.5初级排放的变化吗?法国大城市农村环境中PM2.5的最新趋势
IF 3.7 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2026-04-01 Epub Date: 2026-01-21 DOI: 10.1016/j.atmosenv.2026.121811
Anna Font , Joel F. de Brito , Véronique Riffault , Sébastien Conil , Jean-Luc Jaffrezo , Aude Bourin
Trends in daily PM2.5 concentrations were assessed at 5 rural background sites in France in 2014–2021, together with major particulate components which concentrations were attributed to (i) anthropogenic emissions including fossil fuels (FF) and biomass burning (BB) from primary emissions; and (ii) secondary particulate constituents including non-sea-salt sulphate, nitrate and ammonium. Annual PM2.5 concentrations correlated to annual emissions in both SO2 and NOX in France at all sites; correlations to primary PM2.5 emissions varied depending on the site. To disentangle the influence of weather, long-range transport, and the conditions controlling for PM secondary formation on the PM2.5 time series, boosted regression tree (BRT) models were built at each site for PM2.5; and normalised time series calculated by randomising the value of the explanatory variables at a given time. Two BRT models with their respective normalised PM2.5 time series were calculated: de-weathered time series (without the influence of the meteorological and long-range transport) and de-weathered & de-oxidised time series (randomisation of meteorology, transport and OX (NO2 + O3) concentrations). In 2014–2021, PM2.5 decreased at −5.6 % year−1, almost twice as fast as changes in primary emissions in France and neighbouring countries (about −3 % year−1). Overall trends in de-weathered, and de-weathered and de-oxidised PM2.5 were lower than that in PM2.5 observations, at −3.9 % year−1 and -3.2 % year−1, respectively. Trends in de-weathered & de-oxidised PM2.5 were close to those in emissions, demonstrating the role of including variables capturing the oxidative capacity of the atmosphere in the normalising techniques to compare trends in PM2.5 with primary emissions. Faster downward rates in PM2.5 aerosols in rural background in mainland France were mostly associated with the decrease in gas emissions responsible for secondary particles and less sensitive to changes in primary emissions. Control of NH3 emissions is suggested to be crucial to ensure downward trends in PM2.5 at the regional background environments to reduce concentrations closer to WHO limits.
2014-2021年,在法国5个农村背景点评估了PM2.5的日浓度趋势,以及主要颗粒成分,其浓度归因于:(1)人为排放,包括化石燃料(FF)和生物质燃烧(BB);(ii)次级颗粒成分,包括非海盐硫酸盐、硝酸盐和铵。在法国,PM2.5的年浓度与SO2和NOX的年排放量相关;与主要PM2.5排放量的相关性因地点而异。为了分析天气、远距离输送和PM次生形成控制条件对PM2.5时间序列的影响,在每个站点建立了PM2.5的增强回归树(boosting regression tree, BRT)模型;通过在给定时间随机化解释变量的值来计算规范化时间序列。计算了两个具有各自标准化PM2.5时间序列的BRT模型:去风化时间序列(不受气象和远程输送的影响)和去风化和去氧化时间序列(气象、输送和OX (NO2 + O3)浓度的随机化)。2014-2021年,PM2.5同比下降5.6%,几乎是法国及其邻国一次排放变化速度(同比下降约3%)的两倍。去风化、去风化和去氧化PM2.5的总体趋势低于PM2.5观测值,分别为- 3.9%和- 3.2%。去风化和去氧化PM2.5的趋势与排放的趋势接近,这表明在比较PM2.5与初次排放趋势的归一化技术中,包括捕捉大气氧化能力的变量的作用。在法国大陆农村地区,PM2.5气溶胶下降速度更快,主要与造成二次颗粒的气体排放减少有关,对一次排放的变化不太敏感。建议控制NH3排放对于确保区域背景环境中PM2.5呈下降趋势以使浓度降至更接近世卫组织限值至关重要。
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引用次数: 0
A new radius–time relationship for droplet evaporation revealing vapour-to-bulk diffusion transition via optical tweezers 一种新的液滴蒸发的半径-时间关系,揭示了通过光学镊子从蒸汽到体的扩散转变
IF 3.7 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2026-04-01 Epub Date: 2026-01-23 DOI: 10.1016/j.atmosenv.2026.121829
Shuqi Guo , Chengyi Fan , Nan Ma , Chunsheng Zhao
Droplet evaporation is a fundamental process with broad implications for cloud microphysics and atmospheric chemistry. Solutes introduce non-ideal behaviour that alters the droplet's microphysical properties and reconfigures its evaporation dynamics, yet their influence remains insufficiently quantified. Using an optical tweezers system, we investigated the evaporation of droplets containing non-volatile solutes. The results reveal distinct stagewise variation in evaporation rate, driven by a gradual transition in the dominant microphysical mechanism from vapour diffusion across the gas–liquid interface to bulk-phase diffusion within the droplet. Once bulk-phase diffusion becomes dominant, the evaporation rate decreases significantly and the overall evaporation time increases, indicating that classical evaporation theory underestimates droplet lifetime by neglecting internal mass transport. A new radius–time relationship that better aligns with experimental observations is proposed and highlights the decisive role of solutes in both the initial conditions and the dynamic evolution of droplet evaporation. These findings advance our understanding of the microphysical evolution of droplet evaporation, providing a physical basis for improving the parameterisation of aerosol–cloud interactions and droplet lifetime in atmospheric models.
液滴蒸发是一个基本的过程,在云微物理和大气化学中具有广泛的意义。溶质引入了非理想行为,改变了液滴的微物理性质并重新配置了其蒸发动力学,但它们的影响仍然没有足够的量化。使用光学镊子系统,我们研究了含有非挥发性溶质的液滴的蒸发。结果表明,蒸发速率在不同阶段有明显的变化,这是由主要的微物理机制从气液界面上的蒸汽扩散逐渐过渡到液滴内的体相扩散所驱动的。当体相扩散占主导地位时,蒸发速率显著降低,总蒸发时间增加,表明经典蒸发理论忽略了内部质量输运,低估了液滴的寿命。提出了一种新的半径-时间关系,该关系与实验观测结果更加吻合,并强调了溶质在液滴蒸发的初始条件和动态演变中的决定性作用。这些发现促进了我们对液滴蒸发的微物理演化的理解,为改善大气模式中气溶胶-云相互作用和液滴寿命的参数化提供了物理基础。
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引用次数: 0
Effects of seed particles and relative humidity on brown carbon formation from NO3-driven oxidation of vanillin 种子颗粒和相对湿度对no3氧化香兰素形成棕色碳的影响
IF 3.7 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2026-04-01 Epub Date: 2026-01-24 DOI: 10.1016/j.atmosenv.2026.121827
Shixin Mai , Kunpeng Chen , Hengjia Ou , Li Chen , Dexian Chen , Shengzhen Zhou
Methoxyphenols, as emitted abundantly from biomass burning, are important precursors of brown carbon (BrC) in the atmosphere. However, the effects of environmental factors on their gas-phase oxidation by nitrate radicals (NO3), the dominant nighttime oxidant, remain poorly understood. In this study, the reaction of vanillin, a proxy for methoxyphenols, with NO3 was investigated in a smog chamber under six environmental conditions, varied by pre-existing seed particles levels and relative humidity (RH). The NO3-driven oxidation under different environmental conditions consistently produced secondary BrC, with nitrogen-containing species identified as the dominant reaction products. Both seed level and RH were found to be critical environmental controls; higher seed concentrations promoted secondary organic aerosol (SOA) formation and increased mass absorption coefficient (MAC) under dry conditions but suppressed them under humid conditions. Furthermore, variations in seed concentration and RH guided the reaction pathways to distinct product distributions. Our findings also revealed that humid conditions may enhance the concentration of low-molecular-weight species regardless of seed levels. Overall, this work reveals how environmental conditions modulate secondary BrC formation from methoxyphenols oxidation with NO3, providing critical constraints for atmospheric models of aerosol optical properties.
在生物质燃烧过程中大量排放的甲氧基酚是大气中棕色碳(BrC)的重要前体。然而,环境因素对硝酸盐自由基(NO3)气相氧化的影响仍然知之甚少,硝酸盐自由基是夜间主要的氧化剂。在本研究中,在烟雾室中研究了六种环境条件下香草醛(甲氧基酚的替代品)与NO3的反应,这些环境条件随预先存在的种子颗粒水平和相对湿度(RH)而变化。不同环境条件下no3驱动氧化均产生次生BrC,其中含氮种为主要反应产物。种子水平和相对湿度都是关键的环境控制因素;较高的种子浓度在干燥条件下促进了二次有机气溶胶(SOA)的形成,增加了质量吸收系数(MAC),而在潮湿条件下则抑制了它们的形成。此外,种子浓度和相对湿度的变化指导了不同产物分布的反应途径。我们的研究结果还表明,无论种子水平如何,潮湿条件都可能提高低分子量物种的浓度。总的来说,这项工作揭示了环境条件如何调节甲氧基苯酚与NO3氧化次生BrC的形成,为气溶胶光学性质的大气模型提供了关键约束。
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引用次数: 0
Field observations reveal biomass burning and cooking as the significant sources of PM2.5-bound organic acids in Central China 野外观测显示,生物质燃烧和烹饪是中国中部地区pm2.5结合有机酸的重要来源
IF 3.7 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2026-04-01 Epub Date: 2026-02-05 DOI: 10.1016/j.atmosenv.2026.121858
Ziyue Xiang , Runqi Zhang , Sheng Li , Bin Xu , Qiongwei Zhang , Jun Wang , Datong Luo , Zhan Liu , Xinming Wang
Organic acids (OAs), crucial components of fine particulate matter (PM2.5), not only influence cloud condensation nuclei but also promote particle nucleation and growth. Elucidating the chemical composition and key sources of atmospheric OAs is therefore crucial, particularly in Central China, a region with agricultural and cooking practices. This study investigated the chemical characteristics and sources of PM2.5-bound OAs (C9-C32 monocarboxylic acids, C4-C10 dicarboxylic acids, 22 aromatic acids) in urban Changsha from August 2021 to January 2022. Results show that the quantified total OAs concentrations continuously increased from 362.2 ng/m3 in August to 894.1 ng/m3 in January. Chemically, hexadecanoic acid exhibited the highest average concentration (14.5% of quantified OAs), followed by p-Terephthalic acid (10.2%), octadecanoic acid (9.6%), succinic acid (9.1%), and azelaic acid (7.9%). Source apportionment revealed vehicle emissions as the predominant contributor (32.2% on average). Notably, biomass burning (24.8%) and cooking emissions (20.2%) also made substantial contributions. Particularly during October and November, biomass burning emission contributions surged to 32.2%, attributable to intensified open straw burning in October and residential firewood heating in surrounding suburban/rural areas in November. Even in August, with minimal agricultural burning and residential heating, biomass burning still contributed over 20%. A significant correlation (R2 = 0.90) exists between biomass burning and cooking emissions tracers in August, which features prevalent charbroiling cooking and concurrently explains the marked contribution of cooking emissions (25.0% on average). This study provides critical insights into the molecular composition and potential sources of OAs in Central China, highlighting the importance of biomass burning and cooking emissions in developing air-quality management strategies for this region.
有机酸(OAs)是细颗粒物(PM2.5)的关键成分,不仅影响云凝结核,而且促进颗粒成核和生长。因此,阐明大气臭氧的化学成分和主要来源至关重要,特别是在具有农业和烹饪习惯的中国中部地区。研究了2021年8月至2022年1月长沙市城区pm2.5结合OAs (C9-C32单羧酸、C4-C10二羧酸、22种芳香酸)的化学特征及来源。结果表明:测定的总OAs浓度从8月份的362.2 ng/m3持续增加到1月份的894.1 ng/m3;化学上,十六烷酸的平均浓度最高(14.5%),其次是对对苯二甲酸(10.2%)、十八烷酸(9.6%)、琥珀酸(9.1%)和壬二酸(7.9%)。来源分配显示,车辆排放是主要贡献者(平均32.2%)。值得注意的是,生物质燃烧(24.8%)和烹饪排放(20.2%)也做出了重大贡献。特别是在10月和11月,由于10月露天秸秆燃烧加剧和11月周边郊区/农村居民柴火取暖,生物质燃烧排放贡献率飙升至32.2%。即使是在8月份,在农业燃烧和居民取暖减少的情况下,生物质燃烧仍然贡献了20%以上。8月份生物质燃烧与烹饪排放示踪剂之间存在显著相关(R2 = 0.90),这表明木炭烹饪普遍存在,同时也解释了烹饪排放的显著贡献(平均25.0%)。本研究对中国中部臭氧的分子组成和潜在来源提供了重要见解,强调了生物质燃烧和烹饪排放对制定该地区空气质量管理战略的重要性。
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引用次数: 0
Geospatial patterns of concurrent thermal stress and multi-pollutant exposure in China 中国同期热应力与多污染物暴露的地理空间格局
IF 3.7 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2026-04-01 Epub Date: 2026-02-04 DOI: 10.1016/j.atmosenv.2026.121853
Fuxing Li , Weimiao Li , Shiyao Wang , Gerrit de Leeuw , Yang Wang , Wei Wang , Cheng Fan , Zhengqiang Li
Integrated effects of concurrent exposure to multiple air pollutants and extreme temperatures can amplify health hazards and may induce differential health impacts. However, air quality regulations do not take these combined effects into account. In this study, we assess exposure levels for combinations of different ambient air pollutants, extreme temperature, population and mortality in distinct regions of China during 2000-2019. The results show that, during this period, population exposure to PM2.5 and PM10 declined by 4.09% and 3.95% per year, respectively, within the existing regulatory framework governing Chinese national ambient air quality standards (CNAAQS). In contrast, exposure to O3 increased notably, with 2.43% per year. Despite improvements of air quality, under the CNAAQS Level-1 framework, five out of seven climatic regions in China experienced compound pollution events involving PM10-O3, PM2.5-PM10, and PM2.5-PM10-O3 during at least 158 days in 2019. The exposure time to extreme temperature episodes exhibited a fluctuating change pattern during the study period. However, it is worth noting that the exposure time during heat waves increased significantly since 2015, by 2.67% per year. While we highlight the improved air quality in China, we underscore the imperative for prioritized interventions targeting specific pollutants and their co-occurring phenomena for different climatic regions, particularly under climate-driven temperature escalation observed since 2015.
同时暴露于多种空气污染物和极端温度的综合影响可放大健康危害,并可能引起不同的健康影响。然而,空气质量法规并没有考虑到这些综合影响。在本研究中,我们评估了2000-2019年中国不同地区不同环境空气污染物、极端温度、人口和死亡率组合的暴露水平。结果表明,在中国国家环境空气质量标准(CNAAQS)现行监管框架下,在此期间,PM2.5和PM10暴露量分别以每年4.09%和3.95%的速度下降。相比之下,臭氧的暴露量显著增加,每年增加2.43%。尽管空气质量有所改善,但在CNAAQS一级框架下,2019年中国7个气气区中有5个在至少158天内经历了涉及PM10-O3、PM2.5-PM10和PM2.5-PM10- o3的复合污染事件。在研究期间,极端温度事件暴露时间呈现波动变化模式。然而,值得注意的是,自2015年以来,热浪的暴露时间显著增加,每年增加2.67%。我们在强调中国空气质量改善的同时,也强调针对不同气候区域的特定污染物及其共生现象进行优先干预的必要性,特别是在2015年以来观测到的气候驱动的气温上升的情况下。
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引用次数: 0
Characteristics and sources of ambient VOCs under varying PM2.5 levels in winter 不同PM2.5水平下冬季环境VOCs特征及来源
IF 3.7 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2026-04-01 Epub Date: 2026-01-22 DOI: 10.1016/j.atmosenv.2026.121826
Rui Sun , Guiying You , Danlin Song , Miao Feng , Hefan Liu , Shaodong Xie
<div><div>To investigate the concentration, sources of volatile organic compounds (VOCs), and their impact on the formation of secondary particulate matter under different PM<sub>2.5</sub> concentration levels in ambient air, a one-month online observation of ambient VOCs and PM<sub>2.5</sub> concentrations was conducted in Chengdu, China during winter. The results showed that the concentrations of most VOC species increased significantly with the rising PM<sub>2.5</sub> concentration. The Concentration and proportions of alkenes/alkynes, halocarbons, aromatics, and oxygenated VOCs (OVOCs) all increased as PM<sub>2.5</sub> concentrations rose, with alkenes and alkynes showing a more prominent increase. However, the proportion of alkanes decreased with increasing PM<sub>2.5</sub> concentration, yet they still accounted for over 40 % of total VOCs concentrations. During moderately polluted period (PM<sub>2.5</sub>>115 μg/m<sup>3</sup>), the concentrations of isopentane, ethyl acetate, trans-2-butene, o-xylene, and 3-ethyltoluene were 9.5,7.4, 6.4, 6.2 and 6 times those in the excellent air quality period (PM<sub>2.5</sub>≤35 μg/m<sup>3</sup>), respectively, much higher than the 1.8-fold increase of CO. In contrast, the concentrations of 1-pentene and cis-2-pentene decreased instead of increasing, dropping by 75 % and 60 %, respectively. The concentrations of typical long-lived species remained essentially stable. Source apportionment results indicated that among the 8 sources of VOCs in ambient air, the concentration contributions and proportions of 4 sources, namely vehicle emissions, gas evaporation, solvent use, and domestic sources, all increased with the elevation of PM<sub>2.5</sub> concentrations. During moderate pollution, their concentration contributions were 22.1 ppbv (34.3 %), 13.61 ppbv (21.7 %), 8.1 ppbv (11.5 %), and 7.8 ppbv (10.1 %), respectively. Among these, the concentration contribution of solvent use source during moderate pollution was 12.6 times that in the excellent air quality period, making it the source with the largest relative concentration contribution. The concentration contributions of the other 4 sources hardly changed with PM<sub>2.5</sub> concentration. This indicated that industrial emissions, as well as biomass/waste combustion sources were effectively controlled throughout the pollution process, and no secondary formation sources of VOCs were detected during the winter pollution episodes. A comparison of changes in VOC species concentrations and their sources revealed that the increase in concentrations of reactive species with PM<sub>2.5</sub> concentration was much lower than the increase in their source contributions, indicating significant chemical depletion. These findings suggested that the main sources driving the synchronous increase of PM<sub>2.5</sub> and VOC concentration in ambient air are vehicle emissions, gas evaporation, solvent use, and domestic sources. These sources not only directly emit
为研究不同PM2.5浓度下环境空气中挥发性有机物(VOCs)的浓度、来源及其对二次颗粒物形成的影响,在冬季对成都市进行了为期一个月的环境VOCs和PM2.5浓度在线观测。结果表明,随着PM2.5浓度的升高,大部分挥发性有机化合物的浓度显著增加。随着PM2.5浓度的升高,烯烃/炔烃、卤代烃、芳烃和含氧VOCs的浓度和比例均有所增加,其中烯烃和炔烃的增加更为明显。然而,烷烃的比例随着PM2.5浓度的增加而下降,但仍占总VOCs浓度的40%以上。中度污染期(PM2.5≤115 μg/m3),异戊烷、乙酸乙酯、反式-2-丁烯、邻二甲苯和3-乙基甲苯的浓度分别是优良期(PM2.5≤35 μg/m3)的9.5倍、7.4倍、6.4倍、6.2倍和6倍,均远高于一氧化碳浓度1.8倍的增幅,而1-戊烯和顺式-2-戊烯的浓度则不增反降,分别下降了75%和60%。典型长寿物种的浓度基本保持稳定。源解析结果表明,在8个环境空气VOCs源中,车辆排放、气体蒸发、溶剂使用和生活源4个源的浓度贡献和比例均随着PM2.5浓度的升高而增加。中度污染时,它们的浓度贡献分别为22.1 ppbv(34.3%)、13.61 ppbv(21.7%)、8.1 ppbv(11.5%)和7.8 ppbv(10.1%)。其中,中度污染时溶剂使用源的浓度贡献是优期的12.6倍,是相对浓度贡献最大的源。其他4个源的浓度贡献随PM2.5浓度变化不大。这表明在整个污染过程中,工业排放和生物质/废物燃烧源得到了有效控制,在冬季污染期间没有检测到VOCs的二次形成源。对比挥发性有机化合物(VOC)种类浓度及其来源的变化,发现活性种类浓度随PM2.5浓度的增加远低于其来源贡献的增加,表明存在显著的化学耗竭。上述结果表明,驱动PM2.5和VOC浓度同步上升的主要来源是机动车排放、气体蒸发、溶剂使用和生活源。这些污染源不仅直接排放PM2.5,还会释放烯烃、芳烃等化学活性物质,促进PM2.5转化为次生PM2.5,导致环境PM2.5浓度急剧上升。
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引用次数: 0
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Atmospheric Environment
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