Atmospheric Environment最新文献

{"title":"Factors influencing the relationships between hourly visibility and aerosol optical depth in China—implications for hourly aerosol optical depth retrievals using automatic visibility observations","authors":"Nanxuan Shang ,&nbsp;Ke Gui ,&nbsp;Tiantao Cheng ,&nbsp;Hengheng Zhao ,&nbsp;Xutao Zhang ,&nbsp;Wenrui Yao ,&nbsp;Yu Zheng ,&nbsp;Lei Li ,&nbsp;Yurun Liu ,&nbsp;Hong Wang ,&nbsp;Zhili Wang ,&nbsp;Huizheng Che ,&nbsp;Xiaoye Zhang","doi":"10.1016/j.atmosenv.2025.121353","DOIUrl":"10.1016/j.atmosenv.2025.121353","url":null,"abstract":"<div><div>Aerosol optical depth (AOD) is a key parameter for evaluating climate change and air quality, yet ground-based AOD observations in China remain limited, and satellite data often suffer from acquisition gaps due to cloud cover. Surface visibility (VIS) offers a promising alternative for AOD retrieval, but the relationship between VIS and AOD is complex and shaped by multiple factors such as meteorological conditions, the vertical distribution of aerosols, topography, and population density. This study systematically explored the influence of these factors on the hourly VIS–AOD relationship, using over ∼2300 automatic VIS measurements and Himawari-8 satellite-retrieved AOD data collected across China from 2016 to 2021. The results reveal significant spatiotemporal variations in the VIS–AOD relationship, with stronger diurnal aerosol fluctuations in eastern China compared to the west, and a consistent inverse correlation between VIS and AOD. The correlation peaks in the late afternoon and reaches a seasonal maximum during winter. These relationships are influenced not only by regional meteorological thresholds but also by constraints from aerosol vertical distribution patterns and geographical conditions. Crucially, adjusting the AOD by incorporating the planetary boundary layer height markedly improves its correlation with VIS, underscoring the importance of daily planetary boundary layer dynamics. These findings offer valuable insights for refining hourly AOD retrieval methods from VIS, thereby enhancing the understanding of aerosol behavior across China.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"358 ","pages":"Article 121353"},"PeriodicalIF":4.2,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144280253","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":"The impact of biomass burning emissions in Southeast Asia on black carbon aerosols in southern China","authors":"Luhang Liu ,&nbsp;Yu-Hao Mao ,&nbsp;Hong Liao","doi":"10.1016/j.atmosenv.2025.121352","DOIUrl":"10.1016/j.atmosenv.2025.121352","url":null,"abstract":"<div><div>Since 2013, China's air quality has significantly improved due to the reduction of anthropogenic emissions. The influence of long-distance transport of biomass burning emissions in Southeast Asia (BBSEA) on air quality in southern China (SC) would likely continue to increase, especially under the trend of global warming. We quantify the contribution of BBSEA to the surface and high-altitude BC concentrations in SC (two provincial capitals: Guangzhou (GZ), Guangdong, and Kunming (KM), Yunnan) in March–April 2014 and 2019 by using the GEOS-Chem global chemical transport model and its adjoint. For three severe pollution events in SC in 2014, the contributions of BBSEA to daily average BC concentrations in GZ are 0.08–0.19 μg m⁻³ (2 %–5 %) at the surface and 0.20–0.78 μg m⁻³ (59 %–73 %) at 700 hPa. In KM, the corresponding contributions are 0.27–0.54 μg m⁻³ (15 %–33 %) and 0.25–0.45 μg m⁻³ (28 %–45 %). The transport time of BBSEA to the surface of GZ (KM) is about 3–6 days (1–5 days). The shift in wind fields from southwest to west and stronger wind speeds in April likely shorten the transport time of BBSEA to SC. On March 27, 2019, the relative contributions of BBSEA to the surface BC concentrations increase by 10 % in GZ and 14 % in KM, compared to March 23, 2014. Our study would offer scientific support for understanding BC sources and potential improvement of air quality in SC.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"358 ","pages":"Article 121352"},"PeriodicalIF":4.2,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144313078","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":"Association of air pollution with frailty and sarcopenia among middle-aged and older adults: a systematic review and meta-analysis","authors":"Peng Hu ,&nbsp;Shengtao Wei ,&nbsp;Fei Tian ,&nbsp;Weiyi Yang ,&nbsp;Zhonghua Ai ,&nbsp;Xudong Liu ,&nbsp;Zhenhe Huang ,&nbsp;Hualiang Lin","doi":"10.1016/j.atmosenv.2025.121350","DOIUrl":"10.1016/j.atmosenv.2025.121350","url":null,"abstract":"<div><h3>Background</h3><div>The current evidence regarding the impact of air pollution on frailty and sarcopenia is inconsistent. This study aimed to synthesize evidence on the overall association of air pollution with frailty and sarcopenia risk among middle-aged and older adults.</div></div><div><h3>Methods</h3><div>We thoroughly searched three online databases, including Pubmed, Embase, and Web of Science, for relevant publications up to January 11, 2025. Studies evaluating the associations of indoor and outdoor air pollution with frailty and sarcopenia risk were included. Adjusted Odds Ratios (OR) with 95 % confidence intervals (CI) were computed using random-effects or fixed-effects meta-analysis. I² statistic and Q-test were used to test for heterogeneity.</div></div><div><h3>Results</h3><div>The study identified 38 articles. Per 10 μg/m³ increment of exposure to PM_2.5, PM_2.5-10, O₃, and NO₂ was respectively associated with 23.6 % (OR: 1.236, 95 % CI: 1.116–1.368), 17.9 % (OR: 1.179, 95 % CI: 1.126–1.234), 16.4 % (OR: 1.164, 95 % CI: 1.067–1.271), and 7.8 % (OR: 1.078, 95 % CI: 1.037–1.121) increased risk of frailty. Solid fuel use was linked to frailty measured by frailty index (OR: 1.252, 95 % CI: 1.113–1.409) and frailty measured by frailty phenotype (OR: 1.249, 95 % CI: 1.090–1.431). Each 10 μg/m³ increment of exposure to PM_2.5 (OR: 1.519, 95 % CI: 1.019–2.263) and NO₂ (OR: 1.109, 95 % CI: 1.092–1.127) increased the risk of sarcopenia.</div></div><div><h3>Conclusions</h3><div>Exposure to PM_2.5, PM_2.5-10, O₃, NO₂, and solid fuel increased frailty risk; PM_2.5, NO₂, and solid fuel exposure elevated the sarcopenia risk among middle-aged and older participants. These results support the implementation of sustained environmental policies to prevent frailty and sarcopenia.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"358 ","pages":"Article 121350"},"PeriodicalIF":4.2,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144280109","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":"Diurnal NOx emission underestimation constrained using overlapping TROPOMI swaths","authors":"Qin He ,&nbsp;Kai Qin ,&nbsp;Xiaolu Li ,&nbsp;Lingxiao Lu ,&nbsp;Man Sing Wong ,&nbsp;Jason Blake Cohen","doi":"10.1016/j.atmosenv.2025.121354","DOIUrl":"10.1016/j.atmosenv.2025.121354","url":null,"abstract":"<div><div>Existing remote sensing techniques provide insights into the global-scale daily distribution of tropospheric nitrogen dioxide (NO₂) vertical column densities (VCDs). However, they struggle to quantify the diurnal variation of nitrogen oxide (NO_<em>x</em>) emissions, crucial for understanding air quality and atmospheric environment. We present a novel mass-conserving inversion method and sampling strategy that uses the overlap between adjacent swath edges of polar orbiting satellite Sentinel-5P/TROPOMI to quantify five years (May 2018 to April 2023) of global diurnal NO_<em>x</em> emissions over upper mid-latitude regions. We account for first-order thermodynamics, chemical decay, and advective and pressure induced transport, allowing a flexible, rapid, and reliable alternative to complex models. By sampling two daytime NO₂ VCDs across consecutive orbits approximately 100 min apart, emissions rates are computed for both the 100-min window around midday as well as the 24-h daily cycle. Robust climatological estimates and uncertainty quantification are enabled over major urban areas like New York, Benelux, North China Plain, and Almaty. The estimated diurnal emissions variation show that 100-min emissions are 21 %–105 % higher than 24-h averages, which reveals differences in chemical lifetime from different energy sources, unique spatial-temporal weekend effects over China, USA, and Europe, and see-saw of emissions underestimation over cleaner regions and improvement over polluted regions. The results uncover significant new findings impacting atmospheric chemistry, remote sensing retrieval, environmental policy, and climate science respectively.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"358 ","pages":"Article 121354"},"PeriodicalIF":4.2,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144365520","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":"Inhalation health risk assessment in the port of Volos, Greece, based on multiannual evolution of PM10-bound polycyclic aromatic hydrocarbons and metals/metalloids: Implications for EU-regulated PM10 pollutants","authors":"A. Kouras ,&nbsp;E. Manoli ,&nbsp;Α. Avgenikou ,&nbsp;A. Paraschaki ,&nbsp;D. Voutsa ,&nbsp;C. Samara ,&nbsp;E. Foska","doi":"10.1016/j.atmosenv.2025.121348","DOIUrl":"10.1016/j.atmosenv.2025.121348","url":null,"abstract":"<div><div>Port cities are often burdened by elevated air pollution levels due to ship emissions and harbour-related activities such as cargo handling and internal traffic. This study investigates the concentrations of Polycyclic Aromatic Hydrocarbons (PAHs) and selected metals/metalloids (Pb, As, Cd, Ni, V, Co, Cu, Cr, Zn, Mn, Fe) bound to the inhalable particulate matter (PM₁₀) in the port of Volos (central Greece), the fourth largest in the country. Data were collected over a five-year period (2018–2022), allowing for the assessment of interannual variability. A risk assessment was conducted using standard U.S. EPA methodologies to estimate both carcinogenic and non-carcinogenic risks through inhalation exposure, separately for adults and children. The results revealed that the cumulative non-cancer risk from EU-regulated PM₁₀-bound metal(loid)s (As, Ni, Cd, Pb) remained well below the threshold of 1 × 10⁻⁶, indicating acceptable exposure levels. However, benzo[a]pyrene (B[a]P) contributed significantly to the non-cancer risk—30 % for children and 20 % for adults. The inhalation lifetime cancer risk (ILCR) for the metal(loid)s exceeded the U.S. EPA's safety threshold (1 × 10⁻⁶), reaching 5.1 × 10⁻⁵ for children and 5.7 × 10⁻⁵ for adults, with lead (Pb) being the predominant contributor. In contrast, the ILCR of Σ₁₂PAHs was nearly two orders of magnitude lower. These findings emphasize the necessity of long-term pollutant monitoring in port areas to inform evidence-based public health interventions and regulatory action.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"358 ","pages":"Article 121348"},"PeriodicalIF":4.2,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144261995","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":"The broadband light analyzer of complex aerosol: characterization and first applications","authors":"Tommaso Isolabella ,&nbsp;Marco Brunoldi ,&nbsp;Federico Mazzei ,&nbsp;Franco Parodi ,&nbsp;Paolo Prati ,&nbsp;Virginia Vernocchi ,&nbsp;Vera Bernardoni ,&nbsp;Gianluigi Valli ,&nbsp;Roberta Vecchi ,&nbsp;Paola Formenti ,&nbsp;Clarissa Baldo ,&nbsp;Mathieu Cazaunau ,&nbsp;Vaios Moschos ,&nbsp;Solomon Bililign ,&nbsp;Marc N. Fiddler ,&nbsp;Dario Massabò","doi":"10.1016/j.atmosenv.2025.121341","DOIUrl":"10.1016/j.atmosenv.2025.121341","url":null,"abstract":"<div><div>We introduce a new instrument to measure spectral light absorption by aerosol particles. BLAnCA (Broadband Light Analyzer of Complex Aerosol) is an automatic laboratory instrument for offline measurement of aerosol collected on suitable media. BLAnCA is equipped with a white light source and a high-resolution spectrometer, and measures in the range between 375 and 1000 nm with a spectral resolution of 5 nm. This allows for the determination of fine structure of the absorption properties of a sampled aerosol, which can lead to improvement in the robustness and scope of source apportionment and the evaluation of climate-relevant properties such as the aerosol mass absorption cross-section. The new instrument has been validated against a multi-wavelength absorbance analyzer, obtaining an agreement of up to 99 % between absorption coefficient measurements. The absorption coefficient limit of detection for BLAnCA has been estimated at 1.20 Mm⁻¹ (2.70 Mm⁻¹) for standard EU (EPA) sampling conditions, corresponding to an elemental carbon detection limit of about 1.3 <span><math><mrow><mi>μ</mi></mrow></math></span>g cm⁻², if a mass absorption cross-section of <span><math><mrow><mn>4.7</mn></mrow></math></span> m²g⁻¹ at 1000 nm is considered. The instrument has been used to characterize several types of aerosol samples, each with its own distinct absorption features, which show the potential for BLAnCA to identify different kinds of particulate matter based on their optical properties.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"358 ","pages":"Article 121341"},"PeriodicalIF":4.2,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144298320","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":"PM2.5 and PM10 vertical distribution retrieval methods based on coherent Doppler lidar via machine learning: for haze and dust in Qingdao","authors":"Rongzhong Li ,&nbsp;Kangwen Sun ,&nbsp;Xitao Wang ,&nbsp;Guangyao Dai ,&nbsp;Mengqi Fan ,&nbsp;Li Ma ,&nbsp;Xiaowei Zheng ,&nbsp;Wenrui Long ,&nbsp;Fanqian Meng ,&nbsp;Qichao Wang ,&nbsp;Songhua Wu","doi":"10.1016/j.atmosenv.2025.121351","DOIUrl":"10.1016/j.atmosenv.2025.121351","url":null,"abstract":"<div><div>Accurately profiling the vertical distribution of particulate matter (PM) remains challenging. This study presents a novel approach for retrieving vertical PM concentrations using a single coherent Doppler lidar (CDL) combined with machine learning (ML) models. The models were trained using in-situ PM2.5 and PM10 data as true values, along with input features including the particle extinction coefficient at 1550 nm, signal-to-noise ratio, wind speed, wind direction from CDL observations, as well as temperature and relative humidity from ERA5 reanalysis data. Observations from Qingdao, China, during winter and spring (2020–2024) were used for model development and evaluation. The models show good performance that the R², RMSE, MAE of the PM2.5 test set comparison are 0.787, 18.11 μg/m³, 11.23 μg/m³, and those of the PM10 test set are 0.803 and 29.98 μg/m³, 18.93 μg/m³, respectively. Case studies of haze and dust events demonstrated the capability of this method in capturing and characterizing vertical PM distribution. From the statistical results, the PM layers of the typical haze and dust events in Qingdao were primarily concentrated within 1 km and 1.2 km in altitude, respectively. With the atmospheric dynamics information including wind speed and vertical velocity provided by CDL, the evidence can be found that the enhancement of wind speed and negative vertical velocity in the later phase of the PM events may result in the dissipation and deposition of the PM. Combining the PM backward trajectory simulation, the results show that the haze event during the Chinese Spring Festival in Qingdao was influenced by both local emissions and regional transport, while the dust event in the spring exhibited multi-phase structures driven by long-range transport. This CDL-based approach provides a promising pathway for three-dimensional PM observation with atmospheric dynamics information, offering the potential to enhance air quality monitoring through expanded CDL networks and ML applications.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"359 ","pages":"Article 121351"},"PeriodicalIF":4.2,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144502136","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":"Research on weather classification of atmospheric complex pollution: Progress and prospect","authors":"Yongxin Yan ,&nbsp;Hong Wang ,&nbsp;Xiaoling Zhang ,&nbsp;Xiaoyu Yan ,&nbsp;Yan Nie ,&nbsp;Junling Li ,&nbsp;Haijie Zhang ,&nbsp;Yanqin Ren ,&nbsp;Hong Li","doi":"10.1016/j.atmosenv.2025.121346","DOIUrl":"10.1016/j.atmosenv.2025.121346","url":null,"abstract":"<div><div>Understanding the atmospheric circulation causes of atmospheric complex pollution is crucial for unraveling its intricate formation mechanisms. This study summarizes the progress of weather classification research in atmospheric pollution, focusing on the history, the characteristics and applicability of different research methods, the research conclusions on weather classification for different types of air pollution and their corresponding mechanisms, and points out the challenges of current research and the directions for future research. Driven by technological development and research needs, the research has generally gone through four stages of development, and the current objective classification method, especially the T-mode principal component analysis, show the superior performance. Local generation patterns contributing to PM_2.5 pollution are characterized by stagnation conditions, while those contributing to O₃ pollution are linked to high pressure which enhances the photochemical reaction, and low pressure accompanied by inversion. PM_2.5 and O₃ complex pollution, SO₂ pollution, and NOx pollution are all mainly affected by the continental and/or subtropical high. The current dominant patterns of CO pollution are unclear. Regional transport patterns of PM_2.5 pollution are generally cold fronts and high pressure, while those of O₃ pollution are mostly low pressure. Future expectations for weather classification research include in depth studies on the dominant patterns of multi-pollutants complex pollution, and expanding the application of weather modeling in pollution forecasting, thereby promoting the research results in this field to play a greater role in the research on the causes and the control of atmospheric complex pollution.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"358 ","pages":"Article 121346"},"PeriodicalIF":4.2,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144306679","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":"Retrieval of water cloud droplet size from multi-angle satellite imagery","authors":"Wenhui Luo ,&nbsp;Haifeng Xu ,&nbsp;Shijie Liu ,&nbsp;Cheng Dai ,&nbsp;Hao Chen ,&nbsp;Jinji Ma ,&nbsp;Zhengqiang Li","doi":"10.1016/j.atmosenv.2025.121342","DOIUrl":"10.1016/j.atmosenv.2025.121342","url":null,"abstract":"<div><div>The distribution of water droplets in clouds determines solar radiation and microphysical properties, thereby influencing the global energy balance and water cycle processes. Accurate retrieval of cloud water droplet distribution is of significant scientific value for improving the accuracy of weather forecasts, understanding feedback mechanisms in the climate system, and optimizing climate model predictions. This study employs multi-angle data from the second-generation Directional Polarization Camera on board the Chinese Gaofen-5 02 satellite (GF-5B DPC). By performing a detailed analysis of the polarization characteristics of water clouds and integrating the UNL-VRTM vector radiative transfer model, a lookup table for retrieving the water cloud droplet distribution. Using this approach, the effective particle radius and effective particle variance of water clouds over three surface types: forest, desert/semi-desert, and ocean, were successfully retrieved from the lookup table and polarization reflectance data. The retrieval results under various surface conditions were compared with the MOD06 cloud products. The correlation coefficient between the two sets of water cloud droplet distribution products ranged from 0.74 to 0.82, indicating strong consistency and validating the effectiveness and accuracy of the proposed retrieval algorithm. By utilizing GF-5B-DPC multi-angle polarization data in conjunction with the UNL-VRTM model, we analyzed the spatial distribution of water cloud droplets. The results demonstrate that the polarization measurements, particularly from GF-5B-DPC, exhibit high sensitivity to small particles, providing valuable insights into cloud microphysical properties.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"359 ","pages":"Article 121342"},"PeriodicalIF":4.2,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523566","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":"Sources and potential health indicators in urban aerosols revealed by gas chromatography-mass spectrometry combined with nitrogen chemiluminescence detector: evidence from a megacity (Tianjin) of China","authors":"Jingying Ma ,&nbsp;Yulin Qi ,&nbsp;Yufu Han ,&nbsp;Jinfeng Ge ,&nbsp;Ling Wen ,&nbsp;Xiaoli Fu ,&nbsp;Wei Hu ,&nbsp;Zongbo Shi ,&nbsp;Dietrich A. Volmer ,&nbsp;Pingqing Fu","doi":"10.1016/j.atmosenv.2025.121345","DOIUrl":"10.1016/j.atmosenv.2025.121345","url":null,"abstract":"<div><div>Understanding the chemical complexity of atmospheric aerosols and their associated health risks remains a significant challenge, particularly in rapidly urban regions. Although PM_2.5-associated organic compounds have received growing attention, nitrogen-containing hazardous species such as nitrosamines remain under-explored. Here, comprehensive chemical characterization of urban PM_2.5 was conducted using two-dimensional gas chromatography–mass spectrometry (GC × GC-MS) for non-targeted profiling, together with a nitrogen chemiluminescence detector (NCD) for the quantification of nitrosamines at a trace level of 1.1 ppb. Aerosol samples were collected in Tianjin (a mega city in China) in 2022, including the Beijing Winter Olympics period. The study revealed seasonal variations in hydrocarbons and polycyclic aromatic hydrocarbons (PAHs), with elevated levels of carcinogenic nitrosamines observed in winter, particularly during the Olympics. And interestingly, the estimated carcinogenic risk of nitrosamines is quite consistent with the local incidence rate in Tianjin. These findings emphasize the need for targeted pollution control strategies to minimize hazardous aerosols and human exposure, particularly during large-scale events.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"358 ","pages":"Article 121345"},"PeriodicalIF":4.2,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144280251","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}