Pub Date : 2026-01-01DOI: 10.1016/j.apr.2025.102703
Xin Wang , Jianchang Huang , Xue Lei , Xianfei Yue , Leqi Zhang , Shubin Li , Huanqin Yu , Shenzhen Ding
Heavy-duty diesel trucks (HDDTs), although a small portion of the total vehicle population in China, are a significant source of air pollution. The selective catalytic reduction (SCR) systems employed to reduce NOx in these trucks depend largely on exhaust temperature, which varies with vehicle load and operating conditions. However, most existing emission models do not consider these dynamic factors, resulting in inaccurate NOx emission predictions under different load conditions. This study proposes a novel NOx emission modeling framework that integrates exhaust temperature behavior and real-time load dynamics into the estimation process. The model couples a NOx conversion rate module with a physically grounded exhaust temperature model, both parameterized by vehicle operating power. By integrating a NOx conversion rate model with an exhaust temperature model, this research offered a more accurate framework for estimating NOx emissions across various load conditions and speeds. Quantitatively, the model reduced NOx emission errors compared to traditional methods by 5.4 % for no-load, 16.6 % for half-load, and 14.8 % for full-load conditions. The study also investigated NOx emission characteristics under different load conditions, identifying key intersections and inverse correlations in emission factors at different speeds. These findings highlight the model's enhanced predictive ability under complex, real-world driving conditions. Overall, this study enhanced the accuracy of emission estimates and supported the development of more effective environmental regulatory strategies.
{"title":"Advanced NOx emission modeling for diesel trucks: Incorporating exhaust temperature and load dynamics","authors":"Xin Wang , Jianchang Huang , Xue Lei , Xianfei Yue , Leqi Zhang , Shubin Li , Huanqin Yu , Shenzhen Ding","doi":"10.1016/j.apr.2025.102703","DOIUrl":"10.1016/j.apr.2025.102703","url":null,"abstract":"<div><div>Heavy-duty diesel trucks (HDDTs), although a small portion of the total vehicle population in China, are a significant source of air pollution. The selective catalytic reduction (SCR) systems employed to reduce NOx in these trucks depend largely on exhaust temperature, which varies with vehicle load and operating conditions. However, most existing emission models do not consider these dynamic factors, resulting in inaccurate NOx emission predictions under different load conditions. This study proposes a novel NOx emission modeling framework that integrates exhaust temperature behavior and real-time load dynamics into the estimation process. The model couples a NOx conversion rate module with a physically grounded exhaust temperature model, both parameterized by vehicle operating power. By integrating a NOx conversion rate model with an exhaust temperature model, this research offered a more accurate framework for estimating NOx emissions across various load conditions and speeds. Quantitatively, the model reduced NOx emission errors compared to traditional methods by 5.4 % for no-load, 16.6 % for half-load, and 14.8 % for full-load conditions. The study also investigated NOx emission characteristics under different load conditions, identifying key intersections and inverse correlations in emission factors at different speeds. These findings highlight the model's enhanced predictive ability under complex, real-world driving conditions. Overall, this study enhanced the accuracy of emission estimates and supported the development of more effective environmental regulatory strategies.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 1","pages":"Article 102703"},"PeriodicalIF":3.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145973158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}
The chemical characteristics of rainwater samples were investigated at three locations (Hostel, ESED building and YP gate) inside the Indian Institute of Technology Bombay campus. Rainwater pH, conductivity, optical characteristics, organic carbon, ions, and metals were determined. The average pH of the rainwater was greater than six at all three locations. The average sum of the measured ions in the Hostel, YP Gate and ESED Building was 1334, 1236, and 1045 μeq/l, respectively, indicating the presence of substantial atmospheric pollution. Na+ and Cl− were the main ions in the Hostel and ESED building, whereas NO3− and Mg2+ dominated the YP gate location, accounting for 47 %, 45 % and 43 % of the total ions, respectively. The optical mass absorption cross-section (MAC) of rainwater samples was significantly (by 75–95 %) altered (reduced) after filtration, indicating a dominant role of insoluble organics in light absorption. Absorption Ångström exponent (AAE) of light-absorbing species was highest at the YP Gate location. Water soluble organics (WSOC) dominate (60–80 %) the overall rainwater organics (OC). Least volatile organics (OC3) completely dominate (55–65 %) the WSOC fractions, while more volatile OC fractions (OC1) dominate (30–55 %) water-insoluble OC (WIOC). Different metallic elements, including toxic metals like As, Cr, Pb and Cd, were present in appreciable quantities in the rainwater samples. The solubility of various elements was found to vary substantially with sampling location, indicating the presence of different forms/compounds of elements. Enrichment factor (EF) values of several elements present in rainwater samples were very high, indicating the influence of anthropogenic activities.
{"title":"Spatial heterogeneity in precipitation physico-chemical characteristics: From elemental solubility and organics volatility to absorbance","authors":"Bharrathi Angammal Saravanan, Abhishek Chakraborty","doi":"10.1016/j.apr.2025.102708","DOIUrl":"10.1016/j.apr.2025.102708","url":null,"abstract":"<div><div>The chemical characteristics of rainwater samples were investigated at three locations (Hostel, ESED building and YP gate) inside the Indian Institute of Technology Bombay campus. Rainwater pH, conductivity, optical characteristics, organic carbon, ions, and metals were determined. The average pH of the rainwater was greater than six at all three locations. The average sum of the measured ions in the Hostel, YP Gate and ESED Building was 1334, 1236, and 1045 μeq/l, respectively, indicating the presence of substantial atmospheric pollution. Na<sup>+</sup> and Cl<sup>−</sup> were the main ions in the Hostel and ESED building, whereas NO<sub>3</sub><sup>−</sup> and Mg<sup>2+</sup> dominated the YP gate location, accounting for 47 %, 45 % and 43 % of the total ions, respectively. The optical mass absorption cross-section (MAC) of rainwater samples was significantly (by 75–95 %) altered (reduced) after filtration, indicating a dominant role of insoluble organics in light absorption. Absorption Ångström exponent (AAE) of light-absorbing species was highest at the YP Gate location. Water soluble organics (WSOC) dominate (60–80 %) the overall rainwater organics (OC). Least volatile organics (OC3) completely dominate (55–65 %) the WSOC fractions, while more volatile OC fractions (OC1) dominate (30–55 %) water-insoluble OC (WIOC). Different metallic elements, including toxic metals like As, Cr, Pb and Cd, were present in appreciable quantities in the rainwater samples. The solubility of various elements was found to vary substantially with sampling location, indicating the presence of different forms/compounds of elements. Enrichment factor (EF) values of several elements present in rainwater samples were very high, indicating the influence of anthropogenic activities.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 1","pages":"Article 102708"},"PeriodicalIF":3.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145973542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2026-01-01DOI: 10.1016/j.apr.2025.102712
M.V. Binet , G.A. Piñol , M.F. Valle Seijo , M.I. Micheletti , R.D. Piacentini
Biomass combustion releases various gaseous pollutants and aerosol particles, impacting human health and climate. This study evaluates the effects of biomass burning in the Paraná River Delta on air quality in coastal areas of Greater Rosario, Argentina, focusing on the industrial site of San Lorenzo (SL) and the rural site of Fighiera (FI), from September 6 to 17, 2022. The research examines the transport of pollutants, specifically NO2, CO, and (total and Black Carbon) aerosols, and their correlations. During this period, the Tropospheric Vertical Column Density (VCDtrop) for NO2 peaked at over 1.40 × 1016 molecules/cm2 in Fighiera on September 16, 2022, while CO reached 3.29 × 1018 molecules/cm2 in San Lorenzo on September 13, 2022. Aerosol optical depth (AOD) exceeded 0.5 at both sites on September 13, 2022, linked to air masses from the fire-affected region. Additionally, the Fire Radiative Power (FRP) of the fires reached approximately 10 GW on September 13, 2022. A comparison with non-fire periods revealed that Fighiera, typically showing good air quality with lower pollutant levels than San Lorenzo, experienced a rise in pollutant concentrations during the biomass burning events, highlighting the significant impact of fire on local air quality.
生物质燃烧释放各种气体污染物和气溶胶颗粒,影响人类健康和气候。本研究于2022年9月6日至17日评估了阿根廷大罗萨里奥沿海地区帕拉纳河三角洲生物质燃烧对空气质量的影响,重点是圣洛伦佐(SL)的工业基地和菲吉埃拉(FI)的农村地区。该研究考察了污染物的运输,特别是二氧化氮、一氧化碳和(总碳和黑碳)气溶胶,以及它们之间的相关性。在此期间,fifiera地区NO2的对流层垂直柱密度(VCDtrop)在2022年9月16日达到峰值,超过1.40 × 1016分子/cm2, San Lorenzo地区CO在2022年9月13日达到3.29 × 1018分子/cm2。2022年9月13日,这两个地点的气溶胶光学深度(AOD)都超过了0.5,这与来自火灾影响地区的气团有关。此外,2022年9月13日,火灾的火灾辐射功率(FRP)达到约10吉瓦。与非火灾时期的比较显示,通常表现出良好的空气质量,污染物水平低于圣洛伦佐,但在生物质燃烧事件期间,污染物浓度上升,突出了火灾对当地空气质量的重大影响。
{"title":"Air quality affected by biomass burning at the Paraná River Delta on rural and industrial coastal areas of greater Rosario, Argentina","authors":"M.V. Binet , G.A. Piñol , M.F. Valle Seijo , M.I. Micheletti , R.D. Piacentini","doi":"10.1016/j.apr.2025.102712","DOIUrl":"10.1016/j.apr.2025.102712","url":null,"abstract":"<div><div>Biomass combustion releases various gaseous pollutants and aerosol particles, impacting human health and climate. This study evaluates the effects of biomass burning in the Paraná River Delta on air quality in coastal areas of Greater Rosario, Argentina, focusing on the industrial site of San Lorenzo (SL) and the rural site of Fighiera (FI), from September 6 to 17, 2022. The research examines the transport of pollutants, specifically NO<sub>2</sub>, CO, and (total and Black Carbon) aerosols, and their correlations. During this period, the Tropospheric Vertical Column Density (VCDtrop) for NO<sub>2</sub> peaked at over 1.40 × 10<sup>16</sup> molecules/cm<sup>2</sup> in Fighiera on September 16, 2022, while CO reached 3.29 × 10<sup>18</sup> molecules/cm<sup>2</sup> in San Lorenzo on September 13, 2022. Aerosol optical depth (AOD) exceeded 0.5 at both sites on September 13, 2022, linked to air masses from the fire-affected region. Additionally, the Fire Radiative Power (FRP) of the fires reached approximately 10 GW on September 13, 2022. A comparison with non-fire periods revealed that Fighiera, typically showing good air quality with lower pollutant levels than San Lorenzo, experienced a rise in pollutant concentrations during the biomass burning events, highlighting the significant impact of fire on local air quality.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 1","pages":"Article 102712"},"PeriodicalIF":3.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145973543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}
Primary brown carbon (pBrC), constitutes a significant portion of BrC light absorption coefficient, has been examined at an urban megacity, Delhi using the ground-based Aethalometer measurements. The light absorption of pBrC was significantly contributed (83 - 86 %) to BrC absorption at lower wavelengths (370–470 nm) than the secondary brown carbon (sBrC: ∼17 %). This indicates that the pBrC play a significant role to solar radiation absorptions by ∼25 % more as compared to sBrC. The diurnal nature of BrC and its fractions (pBrC & sBrC) showed a bimodal pattern, with peaks occurring around 08:00–10:00 h and, more prominently in the 20:00–23:00 h. Diurnal pattern of pBrC over Delhi identified the abundant emission sources for spectral light absorption. The mean Absorption Angestrom Exponent (AAE) was 1.27 ± 0.11 (0.80–1.60) indicates the dominancy of primary combustion sources. Further the ignition of fossil fuels (FF) is found the ample sources of BrC (AAE: 1.27 ± 0.11) attributed to ∼80 % contribution in Delhi. A very strong significant correlation between AAE470/950 and AAE370/950 was observed (R2: 0.95) as a function of FF contribution and Babs (at 880 nm). The concentration-weighted trajectory (CWT) analysis suggests that local and regional sources are dominated in Delhi, significantly contribute (∼70 %) to the total absorption of aerosols reaching Delhi. Further, the pBrC is directly emitted from the predominant local emissions (i.e., fossil fuels and biomass burning). Whereas the sBrC shows a dispersed pattern with lower values, generally forms through atmospheric chemical reactions and aging processes during transport and influenced by local and regional atmospheric conditions.
{"title":"Significant contribution of primary brown carbon to the light absorption at Delhi, India: An implication for incomplete oxidation","authors":"Atar Singh Pipal , Parminder Kaur , Atul Kumar Srivastava , Yu-Hsiang Cheng , Deewan Singh Bisht , Vivek Singh , Yi-Wen Chen , Kuan-Ting Liu","doi":"10.1016/j.apr.2025.102722","DOIUrl":"10.1016/j.apr.2025.102722","url":null,"abstract":"<div><div>Primary brown carbon (pBrC), constitutes a significant portion of BrC light absorption coefficient, has been examined at an urban megacity, Delhi using the ground-based Aethalometer measurements. The light absorption of pBrC was significantly contributed (83 - 86 %) to BrC absorption at lower wavelengths (370–470 nm) than the secondary brown carbon (sBrC: ∼17 %). This indicates that the pBrC play a significant role to solar radiation absorptions by ∼25 % more as compared to sBrC. The diurnal nature of BrC and its fractions (pBrC & sBrC) showed a bimodal pattern, with peaks occurring around 08:00–10:00 h and, more prominently in the 20:00–23:00 h. Diurnal pattern of pBrC over Delhi identified the abundant emission sources for spectral light absorption. The mean Absorption Angestrom Exponent (AAE) was 1.27 ± 0.11 (0.80–1.60) indicates the dominancy of primary combustion sources. Further the ignition of fossil fuels (FF) is found the ample sources of BrC (AAE: 1.27 ± 0.11) attributed to ∼80 % contribution in Delhi. A very strong significant correlation between AAE<sub>470/950</sub> and AAE<sub>370/950</sub> was observed (R<sup>2</sup>: 0.95) as a function of FF contribution and B<sub>abs</sub> (at 880 nm). The concentration-weighted trajectory (CWT) analysis suggests that local and regional sources are dominated in Delhi, significantly contribute (∼70 %) to the total absorption of aerosols reaching Delhi. Further, the pBrC is directly emitted from the predominant local emissions (i.e., fossil fuels and biomass burning). Whereas the sBrC shows a dispersed pattern with lower values, generally forms through atmospheric chemical reactions and aging processes during transport and influenced by local and regional atmospheric conditions.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 1","pages":"Article 102722"},"PeriodicalIF":3.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145973704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-12-11DOI: 10.1016/j.apr.2025.102860
Jada L. Brooks , Anne Weaver , Baiming Zou , Maggie Li , Jessica A. Reese , Cavin K. Ward-Caviness , Joseph Yracheta , Susan B. Racette , Kimberly Malloy , Ying Zhang , Nora Franceschini , Giselle M. Corbie , Marianthi-Anna Kioumourtzoglou , Gail Currin Fallon , Ana Navas-Acien
Differences in environmental exposures—particularly to ambient air pollution—have been consistently documented across communities in the United States (U.S.). However, relatively few studies on air pollution have focused on American Indians. In this paper, we combine demographic data from Phase IV (2001–2003) and Phase V (2006–2009) of the Strong Heart Study—the largest ongoing longitudinal epidemiologic cohort study of cardiovascular disease in American Indians—and 1 km2 modeled PM2.5 data in the Northern Plains, Southern Plains, and Southwestern United States. We analyzed data at the U.S. ZIP code level to estimate 30-day and annual residential exposures of participants to PM2.5 and assess for regional, temporal, and seasonal variations in PM2.5 exposure. We found significantly higher mean 30-day and annual PM2.5 concentrations among participants in the Southwest and Southern Plains (>7.4 μg/m3 and >7.6 μg/m3, respectively) than in the Northern Plains (<6.6 μg/m3 and <6.2 μg/m3, respectively). We observed heterogeneity in participants' mean 30-day and annual PM2.5 exposure within and across regions. Furthermore, seasonal differences in ambient PM2.5 concentrations among participants varied by region; in the Northern Plains, we generally observed higher mean 30-day PM2.5 exposure levels in the summertime and lower levels in the wintertime, whereas levels remained relatively constant in the Southern Plains and Southwest. These findings offer essential baseline data to advance accurate and equitable exposure assessment across tribal communities in the Northern Plains, Southern Plains, and Southwest regions.
{"title":"Air pollution levels in American Indian communities in the Great Plains and Southwest: The Strong Heart Study","authors":"Jada L. Brooks , Anne Weaver , Baiming Zou , Maggie Li , Jessica A. Reese , Cavin K. Ward-Caviness , Joseph Yracheta , Susan B. Racette , Kimberly Malloy , Ying Zhang , Nora Franceschini , Giselle M. Corbie , Marianthi-Anna Kioumourtzoglou , Gail Currin Fallon , Ana Navas-Acien","doi":"10.1016/j.apr.2025.102860","DOIUrl":"10.1016/j.apr.2025.102860","url":null,"abstract":"<div><div>Differences in environmental exposures—particularly to ambient air pollution—have been consistently documented across communities in the United States (U.S.). However, relatively few studies on air pollution have focused on American Indians. In this paper, we combine demographic data from Phase IV (2001–2003) and Phase V (2006–2009) of the Strong Heart Study—the largest ongoing longitudinal epidemiologic cohort study of cardiovascular disease in American Indians—and 1 km<sup>2</sup> modeled PM<sub>2.5</sub> data in the Northern Plains, Southern Plains, and Southwestern United States. We analyzed data at the U.S. ZIP code level to estimate 30-day and annual residential exposures of participants to PM<sub>2.5</sub> and assess for regional, temporal, and seasonal variations in PM<sub>2.5</sub> exposure. We found significantly higher mean 30-day and annual PM<sub>2.5</sub> concentrations among participants in the Southwest and Southern Plains (>7.4 μg/m<sup>3</sup> and >7.6 μg/m<sup>3</sup>, respectively) than in the Northern Plains (<6.6 μg/m<sup>3</sup> and <6.2 μg/m<sup>3</sup>, respectively). We observed heterogeneity in participants' mean 30-day and annual PM<sub>2.5</sub> exposure within and across regions. Furthermore, seasonal differences in ambient PM<sub>2.5</sub> concentrations among participants varied by region; in the Northern Plains, we generally observed higher mean 30-day PM<sub>2.5</sub> exposure levels in the summertime and lower levels in the wintertime, whereas levels remained relatively constant in the Southern Plains and Southwest. These findings offer essential baseline data to advance accurate and equitable exposure assessment across tribal communities in the Northern Plains, Southern Plains, and Southwest regions.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 1","pages":"Article 102860"},"PeriodicalIF":3.5,"publicationDate":"2025-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145760752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-12-06DOI: 10.1016/j.apr.2025.102851
Minfeng Zhou , Hanrui Lang , Xiaoming Gu , Heng Wei , Yu Xiong , Shilin Song , Yunjiang Zhang
Metal elements in fine particulate matter (PM2.5) pose significant risks to human health and urban air quality, yet their chemical characteristics and emission sources remain poorly constrained across many regions in eastern China. Here, we investigate the wintertime (December 2023 to February 2024) chemical composition and sources of PM2.5-bound metal elements in Suzhou, Eastern China. Twelve metal species were measured at high temporal resolution using online monitoring techniques, and their sources were identified using the Positive Matrix Factorization (PMF) model. The average PM2.5 concentration was 54 μg m−3, with metal elements contributing 1600 ng m−3, or 3.0 % of the total mass. These metals exhibited clear diurnal patterns, with higher concentrations at night and during pollution episodes. PMF results indicated that mineral dust (22 %), coal combustion (20 %), and traffic emissions (17 %) were the dominant sources. Although vehicle emissions decreased during the Chinese Spring Festival, firework displays emerged as a major short-term contributor to metal exposure. Air mass trajectory analysis further revealed that northwesterly airflows from inland provinces (Henan and Anhui) significantly enhanced metal concentrations, highlighting the role of regional transport. In contrast, maritime air masses from the northeast were associated with cleaner conditions. Health risk assessment further indicated that arsenic posed the greatest noncarcinogenic and carcinogenic risks, underscoring the need for stricter control of As-related emissions. These findings emphasize the importance of joint regional strategies for mitigating metal elements pollution in rapidly urbanizing regions of Eastern China.
细颗粒物(PM2.5)中的金属元素对人类健康和城市空气质量构成重大威胁,但在中国东部许多地区,其化学特征和排放来源仍缺乏明确的限制。研究了苏州市冬季(2023年12月~ 2024年2月)pm2.5金属元素的化学组成及来源。利用在线监测技术在高时间分辨率下测量了12种金属,并利用正矩阵分解(PMF)模型确定了它们的来源。PM2.5的平均浓度为54 μg m - 3,其中金属元素含量为1600 ng m - 3,占总质量的3.0%。这些金属表现出明显的日变化规律,夜间和污染期间浓度较高。PMF结果表明,矿物粉尘(22%)、煤炭燃烧(20%)和交通排放(17%)是主要污染源。尽管中国春节期间汽车尾气排放量有所减少,但烟花表演成为短期内主要的金属暴露来源。气团轨迹分析进一步表明,来自内陆省份(河南和安徽)的西北气流显著增强了金属浓度,突出了区域运输的作用。相比之下,来自东北的海洋气团与更清洁的条件有关。健康风险评估进一步表明,砷构成最大的非致癌性和致癌性风险,强调需要更严格地控制与砷有关的排放。这些研究结果强调了联合区域战略对缓解中国东部快速城市化地区金属元素污染的重要性。
{"title":"Wintertime sources and chemical characteristics of metal elements in urban PM2.5 in Eastern China","authors":"Minfeng Zhou , Hanrui Lang , Xiaoming Gu , Heng Wei , Yu Xiong , Shilin Song , Yunjiang Zhang","doi":"10.1016/j.apr.2025.102851","DOIUrl":"10.1016/j.apr.2025.102851","url":null,"abstract":"<div><div>Metal elements in fine particulate matter (PM<sub>2.5</sub>) pose significant risks to human health and urban air quality, yet their chemical characteristics and emission sources remain poorly constrained across many regions in eastern China. Here, we investigate the wintertime (December 2023 to February 2024) chemical composition and sources of PM<sub>2.5</sub>-bound metal elements in Suzhou, Eastern China. Twelve metal species were measured at high temporal resolution using online monitoring techniques, and their sources were identified using the Positive Matrix Factorization (PMF) model. The average PM<sub>2.5</sub> concentration was 54 μg m<sup>−3</sup>, with metal elements contributing 1600 ng m<sup>−3</sup>, or 3.0 % of the total mass. These metals exhibited clear diurnal patterns, with higher concentrations at night and during pollution episodes. PMF results indicated that mineral dust (22 %), coal combustion (20 %), and traffic emissions (17 %) were the dominant sources. Although vehicle emissions decreased during the Chinese Spring Festival, firework displays emerged as a major short-term contributor to metal exposure. Air mass trajectory analysis further revealed that northwesterly airflows from inland provinces (Henan and Anhui) significantly enhanced metal concentrations, highlighting the role of regional transport. In contrast, maritime air masses from the northeast were associated with cleaner conditions. Health risk assessment further indicated that arsenic posed the greatest noncarcinogenic and carcinogenic risks, underscoring the need for stricter control of As-related emissions. These findings emphasize the importance of joint regional strategies for mitigating metal elements pollution in rapidly urbanizing regions of Eastern China.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 3","pages":"Article 102851"},"PeriodicalIF":3.5,"publicationDate":"2025-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}
This study provides vital insights into the major sources and health implications of black carbon (BC) in one of India's most populous cities. The ratio of fossil fuel (ff) derived BC to total BC ranged from 0.49 to 0.82 (0.66 ± 0.07) throughout the study, indicating that fossil fuel combustion is a primary source of BC over Delhi. Further, we utilized BC concentration as a proxy for evaluating health risks related to passively smoked cigarettes (PSC) across four major health outcomes: low birth weight (LBW), percentage lung function decrement (PLFD), cardiovascular mortality (CM), and lung cancer (LC). This method treated BC health risks as equivalent to the health risks attributed to exposure to environmental tobacco smoke. The PSCs from BCff were consistently greater than those from biomass burning-derived BC, underscoring the substantial impact of fossil fuel-related BC on health outcomes in the study area, which signals an urgent need for stricter control of fossil fuel emissions. These findings emphasize the significant burden posed by lung function impairment, the most sensitive respiratory effect, suggesting that the vulnerable groups, particularly children and the elderly, may face a greater risk. A sensitivity analysis was conducted to quantify the health benefits resulting from reduced BC mass concentration. The findings indicated that PLFD exhibited the most sensitivity, averaging a reduction of 3.51 PSC per 0.5 μg m−3 BC, followed by LBW (1.58), CM (1.53), and LC (0.72). This research offers a meaningful contribution to regional and global efforts in air pollution mitigation and public health protection.
{"title":"Current major sources of black carbon aerosols over Delhi: Implications to health risks","authors":"Vaneet Kumar , Atinderpal Singh , Swati Joshi , Shantanu Kumar Pani , Karamjit Singh , Neeraj Rastogi","doi":"10.1016/j.apr.2025.102697","DOIUrl":"10.1016/j.apr.2025.102697","url":null,"abstract":"<div><div>This study provides vital insights into the major sources and health implications of black carbon (BC) in one of India's most populous cities. The ratio of fossil fuel (ff) derived BC to total BC ranged from 0.49 to 0.82 (0.66 ± 0.07) throughout the study, indicating that fossil fuel combustion is a primary source of BC over Delhi. Further, we utilized BC concentration as a proxy for evaluating health risks related to passively smoked cigarettes (PSC) across four major health outcomes: low birth weight (LBW), percentage lung function decrement (PLFD), cardiovascular mortality (CM), and lung cancer (LC). This method treated BC health risks as equivalent to the health risks attributed to exposure to environmental tobacco smoke. The PSCs from BC<sub>ff</sub> were consistently greater than those from biomass burning-derived BC, underscoring the substantial impact of fossil fuel-related BC on health outcomes in the study area, which signals an urgent need for stricter control of fossil fuel emissions. These findings emphasize the significant burden posed by lung function impairment, the most sensitive respiratory effect, suggesting that the vulnerable groups, particularly children and the elderly, may face a greater risk. A sensitivity analysis was conducted to quantify the health benefits resulting from reduced BC mass concentration. The findings indicated that PLFD exhibited the most sensitivity, averaging a reduction of 3.51 PSC per 0.5 μg m<sup>−3</sup> BC, followed by LBW (1.58), CM (1.53), and LC (0.72). This research offers a meaningful contribution to regional and global efforts in air pollution mitigation and public health protection.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 12","pages":"Article 102697"},"PeriodicalIF":3.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145747454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-12-01DOI: 10.1016/j.apr.2025.102775
Abbas Ranjbar Saadat Abadi , Nasim Hossein Hamzeh , Dimitris G. Kaskaoutis , Bowen Xu , Li Li , Zahra Ghassabi
Sand/Dust storms are significant natural hazards in the Middle East region. This study investigates variations and trends of meteorological parameters and surface dust concentrations through CMIP6 models, focusing on 14 main dust sources affecting the Middle East, providing future predictions until the end of the 21st century. For this purpose, the outputs of three CMIP6 models — GFDL-ESM, MRI-ESM2-0 and ACCESS-CM2 — were analyzed over the period 2015–2100. Additionally, surface dust concentration was studied in two sub-periods: 2024–2060 and 2061–2100, under three scenarios, optimistic (SSP126), intermediate (SSP245) and pessimistic (SSP585). The 2m-temperature from ERA5 data displayed the highest positive trend with 0.1 °C per year during the 40-year period (1983–2022), while an increasing trend in wind speed was also noted across the study region at 0.006 m/s per year. Furthermore, decreasing trends were observed in Volumetric Soil Water Layer (0–7 cm) from ERA5 data at a rate of −0.0017 in eastern Iran, indicating less soil moisture. The spatial distribution of changes in dust concentration during 2024–2060 indicates that all climatic scenarios predict activation of new dust sources, especially in Oman and Yemen. Moreover, all scenarios agree that the expansion of dust source areas will accelerate in the 2061–2100 period compared to 2024–2060. The ensemble of all models indicates a positive trend in surface dust concentration (0.05 μg m−3 per year), suggesting an increase in dust activity over the Middle East. The mean monthly values of temperature, relative humidity, wind speed and precipitation, as projected from nine models across the fourteen dust-source areas and in the entire Middle East from 2015 to 2100, revealed great consistency and low discrepancies between the model outputs. However, in all dust sources, higher discrepancies in precipitation between the models occurred in the cold period and in temperature and surface wind speed during the warm period.
{"title":"Future projections of dust storm dynamics and sources in the Middle East: Insights from CMIP6 models","authors":"Abbas Ranjbar Saadat Abadi , Nasim Hossein Hamzeh , Dimitris G. Kaskaoutis , Bowen Xu , Li Li , Zahra Ghassabi","doi":"10.1016/j.apr.2025.102775","DOIUrl":"10.1016/j.apr.2025.102775","url":null,"abstract":"<div><div>Sand/Dust storms are significant natural hazards in the Middle East region. This study investigates variations and trends of meteorological parameters and surface dust concentrations through CMIP6 models, focusing on 14 main dust sources affecting the Middle East, providing future predictions until the end of the 21st century. For this purpose, the outputs of three CMIP6 models — GFDL-ESM, MRI-ESM2-0 and ACCESS-CM2 — were analyzed over the period 2015–2100. Additionally, surface dust concentration was studied in two sub-periods: 2024–2060 and 2061–2100, under three scenarios, optimistic (SSP126), intermediate (SSP245) and pessimistic (SSP585). The 2m-temperature from ERA5 data displayed the highest positive trend with 0.1 °C per year during the 40-year period (1983–2022), while an increasing trend in wind speed was also noted across the study region at 0.006 m/s per year. Furthermore, decreasing trends were observed in Volumetric Soil Water Layer (0–7 cm) from ERA5 data at a rate of −0.0017 in eastern Iran, indicating less soil moisture. The spatial distribution of changes in dust concentration during 2024–2060 indicates that all climatic scenarios predict activation of new dust sources, especially in Oman and Yemen. Moreover, all scenarios agree that the expansion of dust source areas will accelerate in the 2061–2100 period compared to 2024–2060. The ensemble of all models indicates a positive trend in surface dust concentration (0.05 μg m<sup>−3</sup> per year), suggesting an increase in dust activity over the Middle East. The mean monthly values of temperature, relative humidity, wind speed and precipitation, as projected from nine models across the fourteen dust-source areas and in the entire Middle East from 2015 to 2100, revealed great consistency and low discrepancies between the model outputs. However, in all dust sources, higher discrepancies in precipitation between the models occurred in the cold period and in temperature and surface wind speed during the warm period.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 12","pages":"Article 102775"},"PeriodicalIF":3.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145747437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-12-01DOI: 10.1016/j.apr.2025.102661
Daniela Figueiredo , Estela D. Vicente , Cátia Gonçalves , Isabel Lopes , Célia A. Alves , Helena Oliveira
University cafeterias are popular spaces where students and staff can have quick meals and snacks, socialise and relax. Despite their frequent use, the health impacts of airborne particles in these environments remain unexplored. This study aimed to evaluate the mutagenicity and the potential toxicological effects of PM10 in a university cafeteria using human alveolar epithelial cells (A549). PM10 samples were collected both indoors, during periods of activity and when unoccupied (background air), and outdoors. The MTT assay was used to assess the metabolic activity of A549 cells following PM10 exposure, while flow cytometry was used to evaluate the intracellular reactive oxygen species (ROS) levels and disruptions in cell cycle dynamics. Additionally, the Ames test was performed to determine the mutagenic activity of PM10-bound polycyclic aromatic hydrocarbon (PAH) extracts using the Salmonella typhimurium TA98 with and without metabolic activation. The findings revealed a significant decrease in A549 metabolic activity, particularly with PM10 extracts collected indoors during occupancy. Elevated ROS levels and cell cycle arrest in the G0/G1 phase were observed for these indoor samples. Moreover, the concentration of specific organic compounds detected in the PM10 extracts were significantly correlated with the observed biological effects. None of the PAH extracts tested showed mutagenic effects, both with and without metabolic activation. These findings suggest that PM10 exposure in cafeterias, particularly during occupancy, may cause oxidative stress and disrupt cell cycle dynamics, highlighting potential health risks. While no mutagenic effects were detected, further research is needed to explore long-term impacts and develop strategies to enhance indoor air quality in these environments.
{"title":"In vitro toxicity of indoor and outdoor PM10 from a university cafeteria","authors":"Daniela Figueiredo , Estela D. Vicente , Cátia Gonçalves , Isabel Lopes , Célia A. Alves , Helena Oliveira","doi":"10.1016/j.apr.2025.102661","DOIUrl":"10.1016/j.apr.2025.102661","url":null,"abstract":"<div><div>University cafeterias are popular spaces where students and staff can have quick meals and snacks, socialise and relax. Despite their frequent use, the health impacts of airborne particles in these environments remain unexplored. This study aimed to evaluate the mutagenicity and the potential toxicological effects of PM<sub>10</sub> in a university cafeteria using human alveolar epithelial cells (A549). PM<sub>10</sub> samples were collected both indoors, during periods of activity and when unoccupied (background air), and outdoors. The MTT assay was used to assess the metabolic activity of A549 cells following PM<sub>10</sub> exposure, while flow cytometry was used to evaluate the intracellular reactive oxygen species (ROS) levels and disruptions in cell cycle dynamics. Additionally, the Ames test was performed to determine the mutagenic activity of PM<sub>10</sub>-bound polycyclic aromatic hydrocarbon (PAH) extracts using the <em>Salmonella typhimurium</em> TA98 with and without metabolic activation. The findings revealed a significant decrease in A549 metabolic activity, particularly with PM<sub>10</sub> extracts collected indoors during occupancy. Elevated ROS levels and cell cycle arrest in the G0/G1 phase were observed for these indoor samples. Moreover, the concentration of specific organic compounds detected in the PM<sub>10</sub> extracts were significantly correlated with the observed biological effects. None of the PAH extracts tested showed mutagenic effects, both with and without metabolic activation. These findings suggest that PM<sub>10</sub> exposure in cafeterias, particularly during occupancy, may cause oxidative stress and disrupt cell cycle dynamics, highlighting potential health risks. While no mutagenic effects were detected, further research is needed to explore long-term impacts and develop strategies to enhance indoor air quality in these environments.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 12","pages":"Article 102661"},"PeriodicalIF":3.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145747313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-12-01DOI: 10.1016/j.apr.2025.102657
Min He , Hao Yang , Zhen Yang , Yuan Li , Qichao Long , Liangzhen Jian , Yuming He , Jie Xiao
A high-resolution cooking emission inventory in 2023 was developed for the city of Chengdu, China, utilizing multisource internet big data and cuisine-specific emission factors related to the number of diners and edible oil consumption. A total of 105,005 commercial, 19,817 residential, and 7604 canteen cooking point sources were identified. The activity data for each cooking point source were estimated via a linear regression model developed in this study or by leveraging relevant parameters from internet big datasets. This methodology facilitates the development of highly spatially resolved cooking emission inventories. The estimated emissions from cooking were 916–949 tons of fine particulate matter (PM2.5), 2455–3886 tons of volatile organic compounds (VOCs), 1342–2219 tons of intermediate-volatile organic compounds (IVOCs), and 827–2154 tons of semivolatile organic compounds (SVOCs). Commercial cooking emerged as the dominant contributor, accounting for 70.3–72.3 % of the total PM2.5 emissions, 71.0–78.8 % of the total VOC emissions, 84.0–88.9 % of the total IVOC emissions, and 83.3–92.6 % of the total SVOC emissions. Major contributors within the commercial cooking sector included Sichuan–Hunan cuisine, barbecue, hot pot and home-style cooking. Uncertainties in the cooking emission estimates were quantified via Monte Carlo simulation, revealing that the uncertainties associated with edible oil consumption were greater than those associated with the number of diners. The high-resolution emission map demonstrated that cooking emissions in Chengdu were primarily concentrated in the developed areas of the city's subdivisions. Besides population size and economic activity, transportation accessibility has emerged as a key factor influencing the spatial distribution of cooking-related point sources and emissions.
{"title":"High-resolution city-scale cooking emission inventory based on internet big data","authors":"Min He , Hao Yang , Zhen Yang , Yuan Li , Qichao Long , Liangzhen Jian , Yuming He , Jie Xiao","doi":"10.1016/j.apr.2025.102657","DOIUrl":"10.1016/j.apr.2025.102657","url":null,"abstract":"<div><div>A high-resolution cooking emission inventory in 2023 was developed for the city of Chengdu, China, utilizing multisource internet big data and cuisine-specific emission factors related to the number of diners and edible oil consumption. A total of 105,005 commercial, 19,817 residential, and 7604 canteen cooking point sources were identified. The activity data for each cooking point source were estimated via a linear regression model developed in this study or by leveraging relevant parameters from internet big datasets. This methodology facilitates the development of highly spatially resolved cooking emission inventories. The estimated emissions from cooking were 916–949 tons of fine particulate matter (PM<sub>2.5</sub>), 2455–3886 tons of volatile organic compounds (VOCs), 1342–2219 tons of intermediate-volatile organic compounds (IVOCs), and 827–2154 tons of semivolatile organic compounds (SVOCs). Commercial cooking emerged as the dominant contributor, accounting for 70.3–72.3 % of the total PM<sub>2.5</sub> emissions, 71.0–78.8 % of the total VOC emissions, 84.0–88.9 % of the total IVOC emissions, and 83.3–92.6 % of the total SVOC emissions. Major contributors within the commercial cooking sector included Sichuan–Hunan cuisine, barbecue, hot pot and home-style cooking. Uncertainties in the cooking emission estimates were quantified via Monte Carlo simulation, revealing that the uncertainties associated with edible oil consumption were greater than those associated with the number of diners. The high-resolution emission map demonstrated that cooking emissions in Chengdu were primarily concentrated in the developed areas of the city's subdivisions. Besides population size and economic activity, transportation accessibility has emerged as a key factor influencing the spatial distribution of cooking-related point sources and emissions.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 12","pages":"Article 102657"},"PeriodicalIF":3.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145747319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}