Pub Date : 2026-02-15Epub Date: 2025-12-15DOI: 10.1016/j.atmosenv.2025.121750
Egide Kalisa , Donnabella Lacap-Bugler , Matthew Adams , Jiaqi Bi , Antoine Nsabimana , Gabriel Habiyaremye , Glorieuse Uwizeye , Timothy Lawrence , Kevin Lee , Kazuichi Hayakawa , Stephen Pointing , Stephen DJ. Archer
Exposure to particulate matter (PM) is a major global health concern, yet the potential relationships between its chemical and microbial components remains poorly understood, particularly in rapidly urbanizing, understudied settings. This study presents an integrated assessment of polycyclic aromatic hydrocarbons (PAHs), nitrated PAHs (NPAHs), bacteria, and fungi in both fine (PM2.5) and coarse (PM10) aerosols across urban, roadside, and rural sites in sub-Saharan Africa, with a focus on Rwanda across dry and wet seasons. Microbial analysis revealed that the richness and community structure of the airborne bacterial and fungal communities varied with land-use type, linked with PAH/NPAH abundance, PM size fraction, and season. Spearman correlation coefficient confirmed that bacterial communities were more strongly associated with PAH and NPAH compounds, whereas fungal communities were shaped primarily by environmental factors. One bacterial genus, Sphingobium, exhibited evidence of selective enrichment within the PAH rich PM2.5 size fraction, highlighting the potential for direct interaction between the biological and chemical compositions in air. We provide a critical baseline for African cities where air quality data are scarce. Current air quality standards, which prioritize chemical thresholds, overlook the biological burden carried by PM.
{"title":"Variability of airborne microbial communities and associations with organic pollutants in African air particulate matter across land-use types","authors":"Egide Kalisa , Donnabella Lacap-Bugler , Matthew Adams , Jiaqi Bi , Antoine Nsabimana , Gabriel Habiyaremye , Glorieuse Uwizeye , Timothy Lawrence , Kevin Lee , Kazuichi Hayakawa , Stephen Pointing , Stephen DJ. Archer","doi":"10.1016/j.atmosenv.2025.121750","DOIUrl":"10.1016/j.atmosenv.2025.121750","url":null,"abstract":"<div><div>Exposure to particulate matter (PM) is a major global health concern, yet the potential relationships between its chemical and microbial components remains poorly understood, particularly in rapidly urbanizing, understudied settings. This study presents an integrated assessment of polycyclic aromatic hydrocarbons (PAHs), nitrated PAHs (NPAHs), bacteria, and fungi in both fine (PM<sub>2</sub>.<sub>5</sub>) and coarse (PM<sub>10</sub>) aerosols across urban, roadside, and rural sites in sub-Saharan Africa, with a focus on Rwanda across dry and wet seasons. Microbial analysis revealed that the richness and community structure of the airborne bacterial and fungal communities varied with land-use type, linked with PAH/NPAH abundance, PM size fraction, and season. Spearman correlation coefficient confirmed that bacterial communities were more strongly associated with PAH and NPAH compounds, whereas fungal communities were shaped primarily by environmental factors. One bacterial genus, <em>Sphingobium</em>, exhibited evidence of selective enrichment within the PAH rich PM<sub>2</sub>.<sub>5</sub> size fraction, highlighting the potential for direct interaction between the biological and chemical compositions in air. We provide a critical baseline for African cities where air quality data are scarce. Current air quality standards, which prioritize chemical thresholds, overlook the biological burden carried by PM.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"367 ","pages":"Article 121750"},"PeriodicalIF":3.7,"publicationDate":"2026-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145787875","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}
Pub Date : 2026-02-15Epub Date: 2025-12-16DOI: 10.1016/j.atmosenv.2025.121751
Tianqi Wang , Shiyu Zhang , Zhenchun Yang , Peng-Chou Tsai , Christine Ladd-Acosta , Yi Wang , Junfeng (Jim) Zhang
Growing epidemiological evidence has reported neurological effects of fine particulate matter (PM2.5), showing stronger effects of certain PM2.5 constituents. Among the neurologic outcomes examined so far, pediatric seizure has been rarely assessed. We conducted a time-stratified case-crossover study using pediatric seizure outpatient data from a children's hospital in Shanghai. Individual-level daily concentration of PM2.5 and its chemical components (black carbon, organic matter, nitrate, sulfate, and ammonium) were estimated with a satellite-based spatiotemporal model. A conditional logistic regression with distributed lag model (DLM) was applied to estimate the associations of PM2.5 and components with pediatric seizure risk over 14 days preceding to the onset date. Quantile-based g-computation (qgcomp) approach was used to assess the joint effect of a mixture of PM2.5 components. Analyses were further stratified by sex, age, onset with/without fever, and onset with/without epilepsy. A positive association between PM2.5 or each of the components, except organic matter, and pediatric seizure onset was observed with lag windows ranging from 0 to 7 days up to 0–14 days. In the multi-pollutant model, per interquartile range (IQR) increase in exposure to the mixture of all five PM2.5 components were associated with a odds ratio (OR) of 1.03 (95 % CI: 0.95, 2.57). Black carbon and nitrate contributed the most to the positive association, accounting for 47 % and 42 %, respectively. Subgroup analyses showed a larger effect size in children under 5 years old, males, children with concomitant seizure and fever, and children without epilepsy, respectively. Short-term (daily average) exposure to PM2.5 may be a risk factor for the onset of pediatric seizure. Black carbon and nitrate were the two most important constituents contributing to the PM2.5 effect. In addition, younger children, males, and children with seizure and fever co-occurring, and children without epilepsy appeared more susceptible.
{"title":"Associations of fine particulate matter and its chemical constituents with outpatient visits for pediatric seizures","authors":"Tianqi Wang , Shiyu Zhang , Zhenchun Yang , Peng-Chou Tsai , Christine Ladd-Acosta , Yi Wang , Junfeng (Jim) Zhang","doi":"10.1016/j.atmosenv.2025.121751","DOIUrl":"10.1016/j.atmosenv.2025.121751","url":null,"abstract":"<div><div>Growing epidemiological evidence has reported neurological effects of fine particulate matter (PM<sub>2.5</sub>), showing stronger effects of certain PM<sub>2.5</sub> constituents. Among the neurologic outcomes examined so far, pediatric seizure has been rarely assessed. We conducted a time-stratified case-crossover study using pediatric seizure outpatient data from a children's hospital in Shanghai. Individual-level daily concentration of PM<sub>2.5</sub> and its chemical components (black carbon, organic matter, nitrate, sulfate, and ammonium) were estimated with a satellite-based spatiotemporal model. A conditional logistic regression with distributed lag model (DLM) was applied to estimate the associations of PM<sub>2.5</sub> and components with pediatric seizure risk over 14 days preceding to the onset date. Quantile-based g-computation (qgcomp) approach was used to assess the joint effect of a mixture of PM<sub>2.5</sub> components. Analyses were further stratified by sex, age, onset with/without fever, and onset with/without epilepsy. A positive association between PM<sub>2.5</sub> or each of the components, except organic matter, and pediatric seizure onset was observed with lag windows ranging from 0 to 7 days up to 0–14 days. In the multi-pollutant model, per interquartile range (IQR) increase in exposure to the mixture of all five PM<sub>2.5</sub> components were associated with a odds ratio (OR) of 1.03 (95 % CI: 0.95, 2.57). Black carbon and nitrate contributed the most to the positive association, accounting for 47 % and 42 %, respectively. Subgroup analyses showed a larger effect size in children under 5 years old, males, children with concomitant seizure and fever, and children without epilepsy, respectively. Short-term (daily average) exposure to PM<sub>2.5</sub> may be a risk factor for the onset of pediatric seizure. Black carbon and nitrate were the two most important constituents contributing to the PM<sub>2.5</sub> effect. In addition, younger children, males, and children with seizure and fever co-occurring, and children without epilepsy appeared more susceptible.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"367 ","pages":"Article 121751"},"PeriodicalIF":3.7,"publicationDate":"2026-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145787884","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}
Pub Date : 2026-02-15Epub Date: 2025-12-30DOI: 10.1016/j.atmosenv.2025.121762
Yunxiang Zhang , Jie Tao , Panru Kang , Dong Zhang , Yifei Xu , Mingkai Wang , Shenbo Wang , Ruiqin Zhang
Formaldehyde (HCHO) critically mediates atmospheric photochemistry, yet its source-specific impacts remain poorly quantified. Integrating Positive Matrix Factorization and Observation-Based Models, we reveal average HCHO concentrations of 5.6 ± 1.6 ppb during ozone (O3) episodes in Zhengzhou, China, with 43 % originating from RO· + O2-driven secondary formation. Anthropogenic emission contributes 49 % (e.g., vehicles: 19 %, industry: 16 %). Under Zero-HCHO simulations, concentrations of HO2·, OH·, and RO2· decreased by 27 %, 20 %, and 12 %, respectively, with a concomitant 19 % reduction in net O3 production. Source-specific HCHO reveals that secondary production dominated both ROx· (44–48 % contribution) and net O3 (52 % contribution) formation. Notably, biogenic HCHO emissions serve a critical function in daytime photochemical oxidant formation (14–18 %) despite its 7 % HCHO share. Diurnal analysis further identifies morning rush-hour emissions of HCHO from vehicles/industries that act as photochemical primers, boosting 22 % and 15 % O3 formation, respectively. This study provides the mechanistic, source-resolved quantification of HCHO's role in radical cycling and O3 formation, establishing a critical link between emission sources and photochemical outcomes for targeted pollution control.
{"title":"Quantifying source-specific formaldehyde contributions to photochemical oxidant formation in a highly polluted Chinese megacity","authors":"Yunxiang Zhang , Jie Tao , Panru Kang , Dong Zhang , Yifei Xu , Mingkai Wang , Shenbo Wang , Ruiqin Zhang","doi":"10.1016/j.atmosenv.2025.121762","DOIUrl":"10.1016/j.atmosenv.2025.121762","url":null,"abstract":"<div><div>Formaldehyde (HCHO) critically mediates atmospheric photochemistry, yet its source-specific impacts remain poorly quantified. Integrating Positive Matrix Factorization and Observation-Based Models, we reveal average HCHO concentrations of 5.6 ± 1.6 ppb during ozone (O<sub>3</sub>) episodes in Zhengzhou, China, with 43 % originating from RO· + O<sub>2</sub>-driven secondary formation. Anthropogenic emission contributes 49 % (e.g., vehicles: 19 %, industry: 16 %). <strong>Under Zero-HCHO simulations, concentrations of HO<sub>2</sub>·, OH·, and RO<sub>2</sub>· decreased by 27 %, 20 %, and 12 %, respectively, with a concomitant 19 % reduction in net O<sub>3</sub> production.</strong> Source-specific HCHO reveals that secondary production dominated both ROx· (44–48 % contribution) and net O<sub>3</sub> (52 % contribution) formation. Notably, biogenic HCHO emissions serve a critical function in daytime photochemical oxidant formation (14–18 %) despite its 7 % HCHO share. Diurnal analysis further identifies morning rush-hour emissions of HCHO from vehicles/industries that act as photochemical primers, boosting 22 % and 15 % O<sub>3</sub> formation, respectively. This study provides the mechanistic, source-resolved quantification of HCHO's role in radical cycling and O<sub>3</sub> formation, establishing a critical link between emission sources and photochemical outcomes for targeted pollution control.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"367 ","pages":"Article 121762"},"PeriodicalIF":3.7,"publicationDate":"2026-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145920694","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}
Pub Date : 2026-02-15Epub Date: 2025-12-24DOI: 10.1016/j.atmosenv.2025.121759
Junli Liu , Yang Qian , Siyuan Wang , Weiwei Gu , Danhuai Guo
Gaseous air pollutants pose significant threats to environmental quality and public health, with their diurnal variation patterns critically determining human exposure and health risks. However, the spatiotemporal dynamics and driving factors of these variations remain insufficiently understood at the national level. This study characterizes the diurnal variation of four key pollutants (SO2, NO2, CO, and O3), using hourly observations from 1636 monitoring stations across China spanning 2014–2024. By integrating a Light Gradient Boosting Machine (LightGBM) model with SHapley Additive exPlanations (SHAP), we quantified the non-linear contributions of meteorological, topographic, and socioeconomic drivers to pollutant variability, with the robustness of the results verified through spatial sensitivity analysis. The results reveal pronounced spatial and seasonal heterogeneity in diurnal ranges. Specifically, SO2 is shaped by the synergy of socioeconomic and meteorological factors; NO2 is dominated by socioeconomic intensity but amplified by plateau meteorology; CO is driven by high-frequency emission cycles such as traffic patterns; and O3 is strictly regulated by solar radiation and topography. These findings elucidate the distinct roles of emission intensity, atmospheric stability, and chemical processing in shaping diurnal cycles, underscoring the necessity of region-specific and time-targeted mitigation strategies to minimize population exposure and advance precision air-quality management.
{"title":"Characterizing diurnal variations and driving factors of major gaseous pollutants across China","authors":"Junli Liu , Yang Qian , Siyuan Wang , Weiwei Gu , Danhuai Guo","doi":"10.1016/j.atmosenv.2025.121759","DOIUrl":"10.1016/j.atmosenv.2025.121759","url":null,"abstract":"<div><div>Gaseous air pollutants pose significant threats to environmental quality and public health, with their diurnal variation patterns critically determining human exposure and health risks. However, the spatiotemporal dynamics and driving factors of these variations remain insufficiently understood at the national level. This study characterizes the diurnal variation of four key pollutants (SO<sub>2</sub>, NO<sub>2</sub>, CO, and O<sub>3</sub>), using hourly observations from 1636 monitoring stations across China spanning 2014–2024. By integrating a Light Gradient Boosting Machine (LightGBM) model with SHapley Additive exPlanations (SHAP), we quantified the non-linear contributions of meteorological, topographic, and socioeconomic drivers to pollutant variability, with the robustness of the results verified through spatial sensitivity analysis. The results reveal pronounced spatial and seasonal heterogeneity in diurnal ranges. Specifically, SO<sub>2</sub> is shaped by the synergy of socioeconomic and meteorological factors; NO<sub>2</sub> is dominated by socioeconomic intensity but amplified by plateau meteorology; CO is driven by high-frequency emission cycles such as traffic patterns; and O<sub>3</sub> is strictly regulated by solar radiation and topography. These findings elucidate the distinct roles of emission intensity, atmospheric stability, and chemical processing in shaping diurnal cycles, underscoring the necessity of region-specific and time-targeted mitigation strategies to minimize population exposure and advance precision air-quality management.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"367 ","pages":"Article 121759"},"PeriodicalIF":3.7,"publicationDate":"2026-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145837111","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}
Pub Date : 2026-02-15Epub Date: 2025-12-03DOI: 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 CxHyO1 (55.0 %) and CxHyO2 (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.
{"title":"Study the effect of photochemical processes on VOC source apportionment at a site in the Pearl River Estuary of southern China","authors":"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","doi":"10.1016/j.atmosenv.2025.121718","DOIUrl":"10.1016/j.atmosenv.2025.121718","url":null,"abstract":"<div><div>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<sub>x</sub>H<sub>y</sub>O<sub>1</sub> (55.0 %) and C<sub>x</sub>H<sub>y</sub>O<sub>2</sub> (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.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"367 ","pages":"Article 121718"},"PeriodicalIF":3.7,"publicationDate":"2026-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145837113","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}
Pub Date : 2026-02-15Epub Date: 2025-12-19DOI: 10.1016/j.atmosenv.2025.121755
Kai Xie , Yulong Yan , Jiaqi Dong , Lin Peng
Carbon monoxide (CO) is a trace gas that affects atmospheric oxidative capacity and climate change, making accurate source apportionment crucial. Here, for the first time, we identified the isotopic signatures (δ18O) of industrial-related CO sources in Changzhi of Northern China. And total 21 ambient CO samples were collected from July 17 to July 21, 2023 with the duration of 2 h. These signatures were integrated with the Stable Isotope Analysis in R (MixSIAR) model to apportion CO sources. During the observation period, the average CO mixing ratio was 0.73 ± 0.26 ppm, which exceeded the summer average levels in both China and globally. Industrial-related sources exhibited distinct δ18O enrichment (24.5 ± 1.0 ‰ for steel industry to 29.2 ± 0.1 ‰ for heavy-duty diesel trucks). They are clearly separated from existed δ18O signatures from secondary formation and vehicle sources, thus providing essential reference data for isotopic source apportionment. The δ18O values of ambient CO varied by 3.5 ‰ overall, while diurnal fluctuations were minor (approximately 0.3 ‰), indicating relative stability on diurnal scale. Incorporating industrial-related isotopic signatures into MixSIAR, contribution of primary emissions decreased from 73.6 % to 56.0 %. These results indicate only based on existed source spectra (non-methane hydrocarbons oxidation and light-duty vehicle emissions) substantially overestimate the contribution of primary sources. These findings fill a knowledge gap concerning the isotopic signatures of industrial CO emissions and emphasize the importance of incorporating localized isotopic signatures into source apportionment. This work also provides basis for developing targeted mitigation strategies in industrial cities.
{"title":"Local industrial δ18O signatures refine carbon monoxide source apportionment and prevent overestimation of primary emissions in a typical industrial city","authors":"Kai Xie , Yulong Yan , Jiaqi Dong , Lin Peng","doi":"10.1016/j.atmosenv.2025.121755","DOIUrl":"10.1016/j.atmosenv.2025.121755","url":null,"abstract":"<div><div>Carbon monoxide (CO) is a trace gas that affects atmospheric oxidative capacity and climate change, making accurate source apportionment crucial. Here, for the first time, we identified the isotopic signatures (δ<sup>18</sup>O) of industrial-related CO sources in Changzhi of Northern China. And total 21 ambient CO samples were collected from July 17 to July 21, 2023 with the duration of 2 h. These signatures were integrated with the Stable Isotope Analysis in R (MixSIAR) model to apportion CO sources. During the observation period, the average CO mixing ratio was 0.73 ± 0.26 ppm, which exceeded the summer average levels in both China and globally. Industrial-related sources exhibited distinct δ<sup>18</sup>O enrichment (24.5 ± 1.0 ‰ for steel industry to 29.2 ± 0.1 ‰ for heavy-duty diesel trucks). They are clearly separated from existed δ<sup>18</sup>O signatures from secondary formation and vehicle sources, thus providing essential reference data for isotopic source apportionment. The δ<sup>18</sup>O values of ambient CO varied by 3.5 ‰ overall, while diurnal fluctuations were minor (approximately 0.3 ‰), indicating relative stability on diurnal scale. Incorporating industrial-related isotopic signatures into MixSIAR, contribution of primary emissions decreased from 73.6 % to 56.0 %. These results indicate only based on existed source spectra (non-methane hydrocarbons oxidation and light-duty vehicle emissions) substantially overestimate the contribution of primary sources. These findings fill a knowledge gap concerning the isotopic signatures of industrial CO emissions and emphasize the importance of incorporating localized isotopic signatures into source apportionment. This work also provides basis for developing targeted mitigation strategies in industrial cities.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"367 ","pages":"Article 121755"},"PeriodicalIF":3.7,"publicationDate":"2026-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145837191","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}
Pub Date : 2026-02-15Epub Date: 2025-12-16DOI: 10.1016/j.atmosenv.2025.121749
Miao Yu , Dongxia Jiang , Ying Shang , Zhengxiong Li , Chun Chang , Shaodan Huang
The health effects of combined exposure to indoor volatile organic compounds (VOCs) on lung function in adults with asthma remain unclear, and the underlying metabolic mechanisms are incompletely understood. In this panel study, 53 adult asthma patients underwent repeated home visits where indoor air samples were collected for VOC measurement, lung function was assessed, and exhaled breath condensate samples were obtained for untargeted metabolomic analysis. We used linear mixed effects models to evaluate associations between individual VOCs and lung function parameters. VOCs exhibiting significant individual effects were further analyzed using quantile g-computation and Bayesian kernel machine regression models to assess combined exposure effects and identify key contributors. Metabolic pathways were explored through mediation analysis. The linear mixed effects models identified 11 VOC components significantly and negatively associated with lung function: methacrolein, acetone, butyl acetate, toluene, ethylbenzene, styrene, trichloroethylene, tetrachloroethylene, n-hexane, octane, and hexadecane. The quantile g-computation model revealed a significant negative joint effect of these VOCs on lung function, with ethylbenzene and methacrolein contributing most substantially. These findings were corroborated by the Bayesian kernel machine regression model, supporting the robustness of the results. Mediation analysis demonstrated that proline, glycine, putrescine, and phenylethanolamine mediated the effect of trichloroethylene on reduced percent predicted peak expiratory flow, accounting for 31.0 %–41.6 % of the total effect. In conclusion, combined exposure to indoor VOCs adversely affects lung function in adults with asthma, mediated in part by specific metabolites. These findings underscore the importance of addressing indoor air quality in asthma management strategies.
{"title":"The association between indoor VOCs exposure and lung function in adult asthma patients and the mediating effect of metabolites","authors":"Miao Yu , Dongxia Jiang , Ying Shang , Zhengxiong Li , Chun Chang , Shaodan Huang","doi":"10.1016/j.atmosenv.2025.121749","DOIUrl":"10.1016/j.atmosenv.2025.121749","url":null,"abstract":"<div><div>The health effects of combined exposure to indoor volatile organic compounds (VOCs) on lung function in adults with asthma remain unclear, and the underlying metabolic mechanisms are incompletely understood. In this panel study, 53 adult asthma patients underwent repeated home visits where indoor air samples were collected for VOC measurement, lung function was assessed, and exhaled breath condensate samples were obtained for untargeted metabolomic analysis. We used linear mixed effects models to evaluate associations between individual VOCs and lung function parameters. VOCs exhibiting significant individual effects were further analyzed using quantile g-computation and Bayesian kernel machine regression models to assess combined exposure effects and identify key contributors. Metabolic pathways were explored through mediation analysis. The linear mixed effects models identified 11 VOC components significantly and negatively associated with lung function: methacrolein, acetone, butyl acetate, toluene, ethylbenzene, styrene, trichloroethylene, tetrachloroethylene, n-hexane, octane, and hexadecane. The quantile g-computation model revealed a significant negative joint effect of these VOCs on lung function, with ethylbenzene and methacrolein contributing most substantially. These findings were corroborated by the Bayesian kernel machine regression model, supporting the robustness of the results. Mediation analysis demonstrated that proline, glycine, putrescine, and phenylethanolamine mediated the effect of trichloroethylene on reduced percent predicted peak expiratory flow, accounting for 31.0 %–41.6 % of the total effect. In conclusion, combined exposure to indoor VOCs adversely affects lung function in adults with asthma, mediated in part by specific metabolites. These findings underscore the importance of addressing indoor air quality in asthma management strategies.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"367 ","pages":"Article 121749"},"PeriodicalIF":3.7,"publicationDate":"2026-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145787874","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}
Pub Date : 2026-02-15Epub Date: 2025-12-16DOI: 10.1016/j.atmosenv.2025.121740
Mengchen Shen , Li Zhou , Guijian Liu , Ruijia Liu , Hao Yin , Yanyun Hu , Muhammad Arif , Qing Zhang
Airborne contamination by non-dioxin-like (NDL) and dioxin-like (DL) polychlorinated biphenyls (PCBs) is a prevalent and significant issue affecting industrial cities worldwide and is a potential health hazard for humans and wildlife. This study investigates the contamination and health risks of polychlorinated biphenyls (PCBs) in indoor and outdoor dust from Hefei, China. The mean concentrations of ΣNDL-PCBs were 56.27 ng/g and 7.47 ng/g for indoor and outdoor dust, respectively, while ΣDL-PCBs averaged 98.81 ng/g in indoor dust and 92.86 ng/g in outdoor dust. A probabilistic health risk assessment was conducted for different age groups. The results revealed distinct PCB distribution patterns, with PCBs primarily concentrated in finer particle sizes (26–62 μm) indoors compared to outdoors (>62 μm). The health risk assessment is based on a probabilistic human health risk assessment model developed by Monte Carlo simulation methodology for five different age groups, highlighting the acceptable noncarcinogenic health effects indicated by the hazard index (HI) values. The Monte Carlo simulation was conducted with 10,000 iterations, and the 95 % confidence interval was used to express the uncertainty of the risk estimates. Exposure parameters, such as the dust intake rate, body weight, and exposure parameter, were incorporated as probabilistic inputs based on established literature or survey data. However, concerning indoor dust, the study raises concerns regarding infants' exposure to DL-PCBs and NDL-PCBs, with a total cancer risk (TCR) probability close to 5 % and exceeding the acceptable risk level of 1.00E-6 as defined by the US EPA. DL-PCBs consistently demonstrated higher hazard index and TCR values than NDL-PCBs across all scenarios. These findings highlight health concern for infants and underscore the need for targeted strategies to mitigate PCB contamination and reduce exposure, particularly in indoor environments.
{"title":"A comprehensive risk assessment of non-dioxin-like and dioxin-like PCBs in indoor and outdoor dust from Hefei, China","authors":"Mengchen Shen , Li Zhou , Guijian Liu , Ruijia Liu , Hao Yin , Yanyun Hu , Muhammad Arif , Qing Zhang","doi":"10.1016/j.atmosenv.2025.121740","DOIUrl":"10.1016/j.atmosenv.2025.121740","url":null,"abstract":"<div><div>Airborne contamination by non-dioxin-like (NDL) and dioxin-like (DL) polychlorinated biphenyls (PCBs) is a prevalent and significant issue affecting industrial cities worldwide and is a potential health hazard for humans and wildlife. This study investigates the contamination and health risks of polychlorinated biphenyls (PCBs) in indoor and outdoor dust from Hefei, China. The mean concentrations of ΣNDL-PCBs were 56.27 ng/g and 7.47 ng/g for indoor and outdoor dust, respectively, while ΣDL-PCBs averaged 98.81 ng/g in indoor dust and 92.86 ng/g in outdoor dust. A probabilistic health risk assessment was conducted for different age groups. The results revealed distinct PCB distribution patterns, with PCBs primarily concentrated in finer particle sizes (26–62 μm) indoors compared to outdoors (>62 μm). The health risk assessment is based on a probabilistic human health risk assessment model developed by Monte Carlo simulation methodology for five different age groups, highlighting the acceptable noncarcinogenic health effects indicated by the hazard index (HI) values. The Monte Carlo simulation was conducted with 10,000 iterations, and the 95 % confidence interval was used to express the uncertainty of the risk estimates. Exposure parameters, such as the dust intake rate, body weight, and exposure parameter, were incorporated as probabilistic inputs based on established literature or survey data. However, concerning indoor dust, the study raises concerns regarding infants' exposure to DL-PCBs and NDL-PCBs, with a total cancer risk (TCR) probability close to 5 % and exceeding the acceptable risk level of 1.00E-6 as defined by the US EPA. DL-PCBs consistently demonstrated higher hazard index and TCR values than NDL-PCBs across all scenarios. These findings highlight health concern for infants and underscore the need for targeted strategies to mitigate PCB contamination and reduce exposure, particularly in indoor environments.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"367 ","pages":"Article 121740"},"PeriodicalIF":3.7,"publicationDate":"2026-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145787883","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}
Pub Date : 2026-02-15Epub Date: 2025-12-10DOI: 10.1016/j.atmosenv.2025.121737
Suresh K. R. Boreddy, Prashant Hegde, Mukunda M. Gogoi, S. Suresh Babu
High-latitude regions are particularly susceptible to the impacts of climate change and global warming. Organic aerosols are widespread and play a vital role in the Earth's climate; therefore, monitoring their molecular distributions, sources, and formation processes is essential. The present study investigates water-soluble dicarboxylic acids and related secondary organic compounds in aerosols from the Gruvebadet observatory in Ny-Ålesund during summer 2023 to gain insights into the formation processes of secondary organic aerosols (SOA) in the Arctic atmosphere. The results indicate that oxalic acid (C2) was the most abundant, followed by succinic (C4) and phthalic (Ph) acids, as well as malonic (C3) and azelaic (C9) acids. The higher abundance of C4 over C3 (on average) suggests relatively fresh emission sources. The high fumaric-to-maleic (F/M) ratios (mean: 1.14 ± 0.46) and diacids-C/TC ratios (16.4 ± 6.67 %) indicate that photochemical processes were a significant source of diacids throughout the sampling period. The mass diagnostic ratios indicate that the photochemical oxidation of unsaturated fatty acids (UFAs) enriched in the sea-surface micro-layer is the primary source of SOA, followed by the oxidation of aromatic hydrocarbons (AHCs). Furthermore, quantification of C2 associated with the photooxidation of UFAs was conducted using a linear relationship-based approach. The results show that on average, 61 ± 20 % (range: 9–83 %) of C2 was derived from the oxidation of UFAs, with the rest was attributed to the photooxidation of AHCs. The present study also highlighted potential uncertainties in using regression-based source apportionment of C2 with bootstrap analysis. These findings will improve our understanding of the transformation processes of organic aerosols, which are vital for climate modellers to accurately estimate SOA mass and its climatic effects, especially in the Arctic environment.
高纬度地区特别容易受到气候变化和全球变暖的影响。有机气溶胶分布广泛,在地球气候中起着至关重要的作用;因此,监测它们的分子分布、来源和形成过程是必不可少的。本研究调查了2023年夏季美国Ny Gruvebadet观测站-Ålesund气溶胶中的水溶性二羧酸和相关的二次有机化合物,以深入了解北极大气中二次有机气溶胶(SOA)的形成过程。结果表明,草酸(C2)含量最多,其次为琥珀酸(C4)和邻苯二甲酸(Ph),丙二酸(C3)和壬二酸(C9)。C4的丰度高于C3(平均),表明排放源相对较新鲜。富马/马来酸(F/M)比值(平均值:1.14±0.46)和二酸- c /TC比值(16.4±6.67%)表明,在整个采样期间,光化学过程是二酸的重要来源。质量诊断比值表明,海洋表层微层富集的不饱和脂肪酸(UFAs)的光化学氧化是SOA的主要来源,其次是芳香烃(AHCs)的氧化。此外,使用基于线性关系的方法对与ufa光氧化相关的C2进行了量化。结果表明,平均61±20%(范围:9 - 83%)的C2来源于ufa的氧化,其余来源于AHCs的光氧化。本研究还强调了使用基于回归的C2源分配与bootstrap分析的潜在不确定性。这些发现将提高我们对有机气溶胶转化过程的理解,这对于气候建模者准确估计SOA质量及其气候影响至关重要,特别是在北极环境中。
{"title":"Secondary organic aerosol formation in the arctic (Ny-Ålesund) atmosphere during summer: inferences from water-soluble dicarboxylic acids and related compounds","authors":"Suresh K. R. Boreddy, Prashant Hegde, Mukunda M. Gogoi, S. Suresh Babu","doi":"10.1016/j.atmosenv.2025.121737","DOIUrl":"10.1016/j.atmosenv.2025.121737","url":null,"abstract":"<div><div>High-latitude regions are particularly susceptible to the impacts of climate change and global warming. Organic aerosols are widespread and play a vital role in the Earth's climate; therefore, monitoring their molecular distributions, sources, and formation processes is essential. The present study investigates water-soluble dicarboxylic acids and related secondary organic compounds in aerosols from the Gruvebadet observatory in Ny-Ålesund during summer 2023 to gain insights into the formation processes of secondary organic aerosols (SOA) in the Arctic atmosphere. The results indicate that oxalic acid (C<sub>2</sub>) was the most abundant, followed by succinic (C<sub>4</sub>) and phthalic (Ph) acids, as well as malonic (C<sub>3</sub>) and azelaic (C<sub>9</sub>) acids. The higher abundance of C<sub>4</sub> over C<sub>3</sub> (on average) suggests relatively fresh emission sources. The high fumaric-to-maleic (F/M) ratios (mean: 1.14 ± 0.46) and diacids-C/TC ratios (16.4 ± 6.67 %) indicate that photochemical processes were a significant source of diacids throughout the sampling period. The mass diagnostic ratios indicate that the photochemical oxidation of unsaturated fatty acids (UFAs) enriched in the sea-surface micro-layer is the primary source of SOA, followed by the oxidation of aromatic hydrocarbons (AHCs). Furthermore, quantification of C<sub>2</sub> associated with the photooxidation of UFAs was conducted using a linear relationship-based approach. The results show that on average, 61 ± 20 % (range: 9–83 %) of C<sub>2</sub> was derived from the oxidation of UFAs, with the rest was attributed to the photooxidation of AHCs. The present study also highlighted potential uncertainties in using regression-based source apportionment of C<sub>2</sub> with bootstrap analysis. These findings will improve our understanding of the transformation processes of organic aerosols, which are vital for climate modellers to accurately estimate SOA mass and its climatic effects, especially in the Arctic environment.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"367 ","pages":"Article 121737"},"PeriodicalIF":3.7,"publicationDate":"2026-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145787892","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}
Delhi experiences severe air quality deterioration during the post-monsoon and winter seasons, driven by anthropogenic emissions and natural meteorological factors. This study investigates the atmospheric boundary layer (ABL) characteristics during heavy air pollution and fog conditions over Delhi from October 2023 to February 2024 using ground-based Lidar, satellite, and reanalysis data. Lidar measurements reveal a persistently shallow ABL (<1 km) from November to January, with nighttime boundary layer height (BLH) suppressed by strong radiative inversions. Elevated PM2.5 concentrations during this period show an inverse, power-law relationship with BLH. The ventilation coefficient (VC) remained below 800 m2s-1 from November to January, indicating poor dispersion. INSAT-3D/3DR satellite data showed a peak fog occurrence of 75 % over Delhi, with the highest frequency in January. Analysis showed that the combined frequency of haze, fog, and low-level clouds reached 22.46 % during the study period, with the highest occurrences in November (45.10 %) and January (39.55 %). Ground-based Lidar observations captured fine-scale features such as shallow inversion layers, nighttime ABL collapse, and diurnal boundary layer development more accurately than reanalysis. These insights are crucial for enhancing urban weather models, air quality forecasts, and early warning systems in pollution-affected regions.
{"title":"Atmospheric boundary layer characteristics during severe air pollution and fog events over Delhi: Insights from ground-based Lidar, satellites, and models","authors":"Dharmendra Kumar Kamat , Som Kumar Sharma , Prashant Kumar , Kondapalli Niranjan Kumar , Sourita Saha , Aniket , Sukhwinder Kaur , Arun","doi":"10.1016/j.atmosenv.2025.121684","DOIUrl":"10.1016/j.atmosenv.2025.121684","url":null,"abstract":"<div><div>Delhi experiences severe air quality deterioration during the post-monsoon and winter seasons, driven by anthropogenic emissions and natural meteorological factors. This study investigates the atmospheric boundary layer (ABL) characteristics during heavy air pollution and fog conditions over Delhi from October 2023 to February 2024 using ground-based Lidar, satellite, and reanalysis data. Lidar measurements reveal a persistently shallow ABL (<1 km) from November to January, with nighttime boundary layer height (BLH) suppressed by strong radiative inversions. Elevated PM<sub>2.5</sub> concentrations during this period show an inverse, power-law relationship with BLH. The ventilation coefficient (VC) remained below 800 m<sup>2</sup>s<sup>-1</sup> from November to January, indicating poor dispersion. INSAT-3D/3DR satellite data showed a peak fog occurrence of 75 % over Delhi, with the highest frequency in January. Analysis showed that the combined frequency of haze, fog, and low-level clouds reached 22.46 % during the study period, with the highest occurrences in November (45.10 %) and January (39.55 %). Ground-based Lidar observations captured fine-scale features such as shallow inversion layers, nighttime ABL collapse, and diurnal boundary layer development more accurately than reanalysis. These insights are crucial for enhancing urban weather models, air quality forecasts, and early warning systems in pollution-affected regions.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"367 ","pages":"Article 121684"},"PeriodicalIF":3.7,"publicationDate":"2026-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683968","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}