Atmospheric Environment最新文献

{"title":"Multi-year (2015–2023) trend and key factors of bioaerosols in urban atmosphere: A case study in Xi'an","authors":"Tantan Tan ,&nbsp;Gaoshan Zhang ,&nbsp;Chao Liu ,&nbsp;Yanpeng Li","doi":"10.1016/j.atmosenv.2025.121258","DOIUrl":"10.1016/j.atmosenv.2025.121258","url":null,"abstract":"<div><div>Bioaerosols and associated health risks are increasingly scrutinized amid improving air quality and recurrent public health crises in China. However, the response of bioaerosols to the process of improving air quality remains unclear. Consequently, multi-year (2015–2023) bioaerosol samples were collected at two sampling sites (Yanta and Weishui) and analyzed using fluorescence counting combined with high-throughput sequencing to investigate long-term trends in bioaerosol concentrations and bacterial communities. Additionally, Prophet and XGBoost-SHAP models elucidated the impact of the COVID-19 pandemic on bioaerosol concentrations and identified key drivers of bioaerosol fluctuations. Results showed that, unlike the decreasing trends in PM_2.5 concentrations, bioaerosol concentrations initially decreased from (3.71 ± 0.88) × 10⁵ cells/m³ to (0.7 ± 0.36) × 10⁵ cells/m³ during 2015–2019, but rebounded to (7.54 ± 3.75) × 10⁵ cells/m³ following the COVID-19 pandemic (2020–2022), highlighting the complex interplay between policy interventions and public health disruptions. Notably, increases in bioaerosol concentrations correlated with influenza incidence rates, reflecting its potential health risks. Bacterial diversity was higher during the Blue Sky Defense War (2018–2020) than in other periods, while the dominant phylum (Proteobacteria, relative abundance range 32 %–89 %) were relatively stable. <em>Pseudomonas</em>, <em>Burkholderia</em>, and <em>Paucibacter</em> were the dominant genera during the observation period, and COVID-19 pandemic changed the structure of bacterial communities. Additionally, O₃ correlated more significantly with long-term trends of bioaerosols than SO₂ and RH. These results can provide scientific basis for comprehensive evaluation and formulation of urban air quality improvement measures and prevention policies.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"353 ","pages":"Article 121258"},"PeriodicalIF":4.2,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143867807","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}

{"title":"Comparison of traffic-related micro- and nanoplastic concentrations at three urban locations","authors":"E.S. Lenssen ,&nbsp;L. Scibetta ,&nbsp;M. Brits ,&nbsp;M. Lamoree ,&nbsp;L. Caiazzo ,&nbsp;M.R. Montereali ,&nbsp;S. Manzo ,&nbsp;S. Chiavarini ,&nbsp;R. Vermeulen ,&nbsp;R.H.H. Pieters ,&nbsp;G. Hoek","doi":"10.1016/j.atmosenv.2025.121257","DOIUrl":"10.1016/j.atmosenv.2025.121257","url":null,"abstract":"<div><div>One predominant source of microplastics emitted into the atmosphere is tyre- and road wear particles (TRWPs). Only a handful of studies have quantified atmospheric TRWP concentrations. Our objective was to study variations in TRWPs, compared to other primary traffic pollutants, at locations with different traffic conditions.</div><div>In 2022–2023, three locations with different traffic-flow and speed (a stop-and-go busy road, highway and urban park), were repeatedly visited for 4-hrs resulting in 23 measurement days. Particles were collected on quartz filters using a high-volume sampler with PM₁₀-inlet and analyzed using double-shot pyrolysis-gas chromatography-mass spectrometry for the mass of synthetic- and natural rubbers (NR). Concentrations of combustion and brake-wear-related traffic air pollutants were measured, including PM₁₀, black carbon (BC), ultrafine particles (UFP) and trace elements. We calculated spatial contrasts and correlations.</div><div>We observed relatively low levels of sampling- and analysis rubber marker contamination. Synthetic- and NR levels ranged between 2.9 to 42.5 ng/m³ and 1.6 to 26.8 ng/m³, respectively. Compared to the park, rubber markers were 2.8 to 4.6 times higher at the stop-and-go and 2.0 to 2.7 times higher at the highway. These contrasts were larger than for UFP and PM₁₀, but similar to BC and brake-wear related components. Park synthetic rubber levels were modestly higher than field blanks. Rubber markers were highly correlated (r = 0.66 to 0.98) and weakly correlated with most other air pollutants, except for BC and brake wear-related trace elements (r = 0.36 to 0.77).</div><div>We found substantially increased atmospheric TRWP levels near major roads compared to a park. The measurements from this study will be used for testing associations with health effects.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"355 ","pages":"Article 121257"},"PeriodicalIF":4.2,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918407","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}

{"title":"Comprehensive chemical profile and source apportionment of PM2.5 in Buenos Aires: Insights from the southernmost megalopolis","authors":"Pablo Lichtig ,&nbsp;Julián Gelman Constantin ,&nbsp;Melisa Diaz Resquin ,&nbsp;Facundo Baraldo Victorica ,&nbsp;Diego Alessandrello ,&nbsp;Darío Gómez ,&nbsp;Cristina Rössler ,&nbsp;Marcelo de Oto ,&nbsp;Ramiro Espada Guerrero ,&nbsp;Héctor Bajano ,&nbsp;Facundo Bajano ,&nbsp;Jorge Herrera-Murillo ,&nbsp;Laura Dawidowski","doi":"10.1016/j.atmosenv.2025.121236","DOIUrl":"10.1016/j.atmosenv.2025.121236","url":null,"abstract":"<div><div>Understanding aerosol composition is essential for identifying sources and assessing impacts. We analyzed the chemical profile of 100 24-hour PM_2.5 samples and used this data for mass reconstruction and source apportionment. Samples were collected between April 2019 and March 2020 at a site located in Buenos Aires, Argentina. PM_2.5 concentrations ranged from 4.2 <span><math><mi>μ</mi></math></span>g m⁻³ to 51.4 <span><math><mi>μ</mi></math></span>g m⁻³, with a mean of 17.5 <span><math><mi>μ</mi></math></span>g m⁻³, and maxima during biomass burning (BB) events. Samples were classified according to the presence or absence of BB events affecting the area, and mass reconstruction was performed. Optimal OM/OC ratios were determined to be 2.5 (BB-samples) and 1.9 (non-BB samples), being OM <span><math><mo>∼</mo></math></span> <!--> <!-->65% and <span><math><mo>∼</mo></math></span> <!--> <!-->54%, respectively. On average, other components accounted for <span><math><mo>∼</mo></math></span> <!--> <!-->14% geological minerals <span><math><mo>&gt;</mo></math></span> <span><math><mo>∼</mo></math></span> <!--> <!-->10% inorganic ions <span><math><mo>&gt;</mo></math></span> <span><math><mo>∼</mo></math></span> <!--> <!-->6% elemental carbon <span><math><mo>&gt;</mo></math></span> <span><math><mo>∼</mo></math></span> <!--> <!-->3% sea salt <span><math><mo>&gt;</mo></math></span> <span><math><mo>∼</mo></math></span> <!--> <!-->2% non crustal K. Source contributions were further studied using Positive Matrix Factorization. Open biomass burning was the main contributor to PM_2.5 (28.4%) and total carbon (25.7%), highlighting the significance of long-range pollutant transport. The temporal variability of this factor aligns with fire events identified using fire location, back-trajectory analysis, and aerosol classification schemes. The remaining factors found were: SOA + soil + road dust (17.7%), mobile sources powered by low sulfur (15.8%) and high sulfur fuels (11.1%), construction + grills (12.1%), agriculture (9.3%) and thermal power plants + industry (5.6%). This study provides relevant information for air quality management, highlighting knowledge gaps on primary and secondary sources affecting the site.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"353 ","pages":"Article 121236"},"PeriodicalIF":4.2,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143873327","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}

{"title":"A quantitative study on the influencing pathways of aerosol acidity: the non-neglectable role of non-ideality","authors":"Hanze Cui ,&nbsp;Yaxing Du ,&nbsp;Hui Zhang ,&nbsp;Mingqi Deng ,&nbsp;Qi Zhang ,&nbsp;Weihua Chen ,&nbsp;Shuzhen Su ,&nbsp;Xihua Li ,&nbsp;Sayantan Sarkar ,&nbsp;Liming Yang ,&nbsp;Xuemei Wang ,&nbsp;Shiguo Jia","doi":"10.1016/j.atmosenv.2025.121256","DOIUrl":"10.1016/j.atmosenv.2025.121256","url":null,"abstract":"<div><div>Aerosol acidity plays a crucial role in atmospheric processes, impacting both environmental and human health. However, previous studies have not comprehensively quantified the pathways through which meteorological parameters and chemical components influence pH changes, particularly overlooking the role of non-ideality (γH⁺). In this study, we investigate the seasonal variation in aerosol acidity in an urban area of the Pearl River Delta, China, as a case to quantify the contributions of various pathways. We find that H⁺ concentration is the primary pathway for pH changes, contributing 64.2–81.3 %, followed by non-ideality, which accounts for 18.4–26.7 % and surpasses aerosol liquid water content (ALWC). Temperature affects pH mainly through H⁺ concentration variation, while relative humidity influences pH primarily via ALWC. Among chemical components, sulfate and ammonium (NH₄⁺) impact pH through H⁺, while nitrate's influence is mainly driven by non-ideality. Excluding non-ideality shifts the fraction of NH₄⁺ by as large as 48.5 %, underscoring the importance of considering non-ideality in gas-particle partitioning models. Lastly, ionic strength and nitrate fraction significantly influence the activity coefficient, highlighting the need to consider non-ideality when examining aerosol acidity processes.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"354 ","pages":"Article 121256"},"PeriodicalIF":4.2,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143890985","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}

{"title":"Characterization of aerosol optical and radiative properties at Leh, located over the climate sensitive Hindu Kush Himalayan region using sky radiometer observation","authors":"Shantikumar S. Ningombam ,&nbsp;Swagata Mukhopadhyay ,&nbsp;B.L. Madhavan ,&nbsp;A.K. Srivastava ,&nbsp;Som K. Sharma ,&nbsp;Amarendra Singh ,&nbsp;Sonam Jorphel ,&nbsp;Dorje Angchuk ,&nbsp;Tashi Thsering Mahay","doi":"10.1016/j.atmosenv.2025.121234","DOIUrl":"10.1016/j.atmosenv.2025.121234","url":null,"abstract":"<div><div>Aerosol optical and radiative properties over the Leh Ladakh, located in the climate sensitive Hindu Kush Himalayan region are examined using one year measurements from a newly installed sky radiometer from July 2023 to June 2024. Columnar aerosol optical depth (AOD), at 500 nm exhibits a distinct seasonal variation with peak during spring (0.104 ± 0.041) and minimum in autumn (0.077 ± 0.031), while Extinction Angstrom Exponent (EAE) is found to be maximum in winter (1.041 ± 0.205) and minimum (0.658 ± 0.225) in spring. The highest EAE in winter is complemented with the highest AOD_Fine-mode (0.071 ± 0.034) among the seasons which may be associated with the combustion of firewood, charcoal, kerosene or other fuels used to burn to bear the cold winter months, when temperature varied between −15 and −25 °C. Seasonal variation of Single Scattering Albedo (SSA) at 500 nm varied from 0.905 ± 0.055 (winter) to 0.942 ± 0.061 (summer), while the lowest value of SSA during winter is complemented with more absorbing aerosols during winter season. The dominance of fine mode aerosols during the winter seasons is also complemented by the bi-modal volume size distribution. However, the station is experiencing a negligible contribution of dust-aerosols (1%), followed by 18% mixed aerosols and 16% non-absorbing aerosols. The current observing site is dominated by absorbing aerosols which contributed by highly absorbing (49%), moderately absorbing (9%) and slightly absorbing (6%) during the one year of study period. The absorbing aerosols are characterized by high values of AOD_Fine-mode (0.061 ± 0.028), imaginary refractive-index (0.014 ± 0.009), EAE (0.932 ± 0.240) and low value of SSA_Total (0.872 ± 0.070). On the other hand, the non-absorbing aerosols are characterized by high values of AOD_Total (0.088 ± 0.040), SSA_Total (0.991 ± 0.016), SSA_Coarse-mode (0.978 ± 0.038), and low value of imaginary refractive-index (<span><math><mo>∼</mo></math></span>0.001). The estimated aerosol radiative forcing (ARF) reveals the high heating rates during spring (0.09 K day⁻¹) among the seasons, while the heating rate is found to be highest by absorbing aerosols (0.08 K day⁻¹) among the aerosol types.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"353 ","pages":"Article 121234"},"PeriodicalIF":4.2,"publicationDate":"2025-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855194","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}

{"title":"Evaluating pedestrian exposure to traffic-related airborne particles: Insights for sustainable and healthier urban environments","authors":"Phuong T.M. Tran ,&nbsp;Mano Kalairasan ,&nbsp;Peter F.R. Beshay ,&nbsp;Basanta Kumar Biswal ,&nbsp;Teron Nguyen ,&nbsp;Rajasekhar Balasubramanian","doi":"10.1016/j.atmosenv.2025.121255","DOIUrl":"10.1016/j.atmosenv.2025.121255","url":null,"abstract":"<div><div>Vehicular traffic is a major source of urban air pollution in Southeast Asia (SEA), posing significant health risks to pedestrians due to exposure to fine particulate matter (PM_2.5), black carbon (BC), and ultrafine particles (UFPs). Despite this issue of health concern, limited data exists linking the spatial and temporal variations of these pollutants and related pedestrian exposure in the region. Due to the unique urban topography, road infrastructure, and meteorological conditions in SEA, high-resolution air quality monitoring studies are essential to better understand pedestrian exposure patterns. This study addresses this knowledge gap by conducting a comprehensive real-time mobile measurement campaign in Singapore as a case study, using portable instruments to assess pedestrian exposure to the traffic-derived air pollutants across diverse urban road categories. We developed three land-use regression (LUR) models to identify the determinants and spatial distributions of PM_2.5, BC, and UFP concentrations along the pedestrian pathways. Unlike previous stationary or vehicular-based LUR studies, our walking-based approach represents an effective assessment of pedestrian exposure. The results showed mean levels of PM_2.5, BC and UFPs ranged from 16.4 to 20.0 μg m⁻³, 2.2–5.8 μg m⁻³ and 11.3 × 10³ to 31.7 × 10³ # cm^-³, respectively, with BC and UFPs more strongly correlated with vehicular traffic emissions than PM_2.5, particularly near highways and major arterial roads. Urban greenery, including tree density and park areas, was found to significantly reduce pedestrian exposure. These findings provide insights into the relationship between urban design, traffic patterns, and pedestrian health, offering strategies to mitigate traffic-related air pollution and promote healthier cities in SEA.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"354 ","pages":"Article 121255"},"PeriodicalIF":4.2,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143881712","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}

{"title":"Characterization of PM2.5-borne heavy metal pollution from industrial sources and human health risk assessment","authors":"Xiaoteng Ji,&nbsp;Xinyi Ma,&nbsp;Hongya Niu,&nbsp;Yuting Tian,&nbsp;Hao Zhu,&nbsp;Runshuang Shi,&nbsp;Jinxi Wang,&nbsp;Jingsen Fan","doi":"10.1016/j.atmosenv.2025.121254","DOIUrl":"10.1016/j.atmosenv.2025.121254","url":null,"abstract":"<div><div>To investigate the pollution characteristics of PM_2.5 and its associated heavy metals, we collected and analyzed PM_2.5 samples from five industrial sources in Handan, namely production chimneys, workshops, factory areas, and two control points. Macroscopic and microscopic perspectives were employed to determine the contents of 11 heavy metals (Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Ba, and Pb) and one metalloid (As). The results revealed that the total average mass concentrations of the 12 metal elements followed the order: chimney (9598.64 ng·m⁻³) &gt; workshop (7332.94 ng·m⁻³) &gt; factory area (3104.31 ng·m⁻³) &gt; control point B (2073.21 ng·m⁻³) &gt; control point A (1004.74 ng·m⁻³). Fe, Ti, Zn, and Ni were the primary contributors to total metal content at each sampling site. Seasonal variations in heavy metal concentrations were minimal. Fe had the highest mass concentration among the metals at all sites (&gt;60 %), whereas the Cr (VI) and As concentrations significantly exceeded the permitted levels. The particle types with a relatively high number in single particles emitted from chimney were mineral particles (31.58 %), iron-containing metal oxides (26.32 %), and soot aggregates (23.68 %). Mixed particles are primarily present as external mixtures. The AERMOD model simulation indicated significant regional dispersion of PM_2.5 within 10 km, which was corroborated by sample analysis at the nearby control point. Indoor/outdoor (I/O) ratio modeling demonstrated that heavy metal concentrations were generally higher in workshops than in factory areas, suggesting the potential diffusion of some heavy metals from workshops to the factory atmosphere. Enrichment factor (EF) analysis showed that Fe was highly enriched (EF &gt; 3000) at all sampling sites, with EFs at the control points exceeding 1000. These findings suggest that industrial emissions from the foundry industry in Handan contributed significantly to the ambient atmospheric Fe levels. Health risk assessment indicated a substantial non-carcinogenic risk (CR; hazard index &gt;1) and a moderate CR (10⁻⁴ ≤ CR &lt; 10⁻³) for the study area. Co, Cr (VI), Mn, and Pb pose significant non-CR, whereas Cr (VI) and As have been identified as key contributors to CR.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"353 ","pages":"Article 121254"},"PeriodicalIF":4.2,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143867806","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}

{"title":"Identifying surface sulphur dioxide (SO2) monitoring gaps in Saint John, Canada with land use regression and hot spot mapping","authors":"Tsz Kin Siu ,&nbsp;Christopher S. Greene ,&nbsp;Kelvin C. Fong","doi":"10.1016/j.atmosenv.2025.121238","DOIUrl":"10.1016/j.atmosenv.2025.121238","url":null,"abstract":"<div><div>Saint John experiences ambient sulphur dioxide (SO₂) pollution due to a high density of industrial activities. Despite recent reduction in SO₂ emissions, over 90 % of the provincial exceedances of air pollutants were related to SO₂ or total reduced sulphur (TRS), and over 70 % among which occurred in Saint John. Pinpointing intra-urban SO₂ hot spots is important for revealing the neighborhoods exposed to high health risk. However, this is challenging due to limited spatial coverage of monitoring. To fill the monitoring gap, we developed two-stage gradient boosting models combining a classifier that discerned between SO₂-free and SO₂-polluted days and a regressor that estimated daily SO₂ levels based on remote sensing data. With a 10-fold cross-validation, the classifier achieved 83 % accuracy and the regressors attained R² of 0.46 and 0.44 for daily mean and maximum SO₂ respectively. Based on model outputs, we conducted spatial hot spot analysis and found high SO₂ levels spread to northeast, north, and southeast Saint John, where SO₂ monitoring was absent. Several existing monitoring sites in west Saint John do not have SO₂ regularly measured. Besides the spatiotemporal lags of nearby monitored SO₂, wind-related variables such as wind speed and direction had high importance in predicting surface SO₂, which might suggest potential impacts to remote unmonitored communities from the transport of SO₂. In summary, our findings suggest that certain unmonitored areas in Saint John may experience high SO₂ levels. Expansion of monitoring efforts would help inform where and when mitigation should be taken to minimize SO₂-related health impacts.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"353 ","pages":"Article 121238"},"PeriodicalIF":4.2,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143873124","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}

{"title":"Biogenic volatile organic compounds produced by two unicellular and two filamentous cyanobacteria after a high light shock","authors":"Klaudia Kwidzińska ,&nbsp;Marta Hryniewicka ,&nbsp;Magda Caban","doi":"10.1016/j.atmosenv.2025.121252","DOIUrl":"10.1016/j.atmosenv.2025.121252","url":null,"abstract":"<div><div>The emission of biogenic volatile organic compounds (BVOCs) is increasing due to the effects of climate change, and the related increases in biomass production and phytoplankton blooms. The Baltic Sea is subject to increased pollution and average temperature rises, with cyanobacterial blooms happening more often. For the majority of Baltic cyanobacteria, there is no information about BVOCs production. Thereby, in our study, we decided to qualitatively analyze these chemicals in four species common for the Baltic Sea and its lagoons: <em>Synechocystis salina</em>, <em>Microcystis aeruginosa</em>, <em>Nodularia spumigena</em>, and <em>Aphanizomenon flos-aquae.</em> A high light stressor was used as a trigger for the production of BVOCs in monocultures. Depending on the species, two to seven compounds were identified from groups of cyclic and aliphatic alkanes, alcohols, aldehydes, and terpenes. β-cyclocitral (representative of nor-carotenoids) was obtained in <em>M. aeruginosa,</em> and for the first time, it was detected as being produced by <em>N. spumigena</em>. Two unidentified compounds were also found. For one of them, the analysis of mass spectra showed that it could be a sulfur-based compound. The study presents for the first time BVOCs that are produced by <em>S. salina</em>, <em>N. spumigena</em>, and <em>A. flos-aquae</em> after light stress.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"353 ","pages":"Article 121252"},"PeriodicalIF":4.2,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143847499","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}

{"title":"Interactive effects of ambient fine particulate matter and ozone on typical blood coagulation parameters among patients with ischemic heart disease","authors":"Juan Chen ,&nbsp;Yu You ,&nbsp;Weidong Zhang ,&nbsp;Jian Lei ,&nbsp;Yulin Li ,&nbsp;Jie Du ,&nbsp;Shaowei Wu","doi":"10.1016/j.atmosenv.2025.121253","DOIUrl":"10.1016/j.atmosenv.2025.121253","url":null,"abstract":"<div><h3>Background</h3><div>The evidence for the interactive effects of long-term exposure to ambient fine particulate matter (PM_2.5) and ozone (O₃) with typical coagulation parameters which are widely used in clinical practices is limited.</div></div><div><h3>Methods</h3><div>Data on basic information and typical coagulation parameters from 40,338 ischemic heart disease (IHD) patients with their first admission records between January 1, 2018 and May 31, 2019 were obtained from Anzhen Hospital, Beijing. Multivariate linear regression model and stratified analysis were used to evaluate separate and interactive effects of annual PM_2.5 and maximum daily 8-h average (MDA8) O₃ exposures on typical coagulation parameters.</div></div><div><h3>Results</h3><div>We found that both long-term PM_2.5 and MDA8 O₃ exposures were associated with increases in prothrombin time and international normalized ratio (INR), and decreases in prothrombin activity (PTA), activated partial thromboplastin time (APTT), and D-Dimer. The effect estimates of both PM_2.5 and MDA8 O₃ on PTA, INR, and APTT were generally stronger at higher percentiles of co-pollutant strata (all <em>P</em>_difference&lt;0.05). For example, the percent changes in PTA associated with per 10 μg/m³ increase in PM_2.5 were −0.68 % (95 %CI: −0.97 %, −0.38 %), −1.04 % (95 %CI: −1.30 %, −0.78 %) and −1.36 % (95 %CI: −1.80 %, −0.91 %) in the low (≤25 %), medium (25 %–75 %) and high (&gt;75 %) MDA8 O₃ strata, respectively; and the percent changes in PTA associated with per 10 μg/m³ increase in MDA8 O₃ were −1.63 % (95 %CI: −1.96 %, −1.30 %), −1.67 % (95 %CI: −2.03 %, −1.30 %) and −2.30 % (95 %CI: −2.78 %, −1.82 %) in the low, medium and high PM_2.5 strata, respectively.</div></div><div><h3>Conclusions</h3><div>Our study provides novel evidence that long-term PM_2.5 and O₃ exposures synergistically impair the function of coagulation, which may lead to the adverse prognosis in IHD patients, highlighting the advantage of implementing integrated management approaches for both air pollutants.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"353 ","pages":"Article 121253"},"PeriodicalIF":4.2,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143863608","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}