Atmospheric Pollution Research最新文献

{"title":"Investigating the role of meteorological parameters in the transport of air pollutants from LPG tank trailer explosion in Jaipur, India","authors":"Gourav Suthar ,&nbsp;Amit Singh Chandel ,&nbsp;Saurabh Singh","doi":"10.1016/j.apr.2025.102639","DOIUrl":"10.1016/j.apr.2025.102639","url":null,"abstract":"<div><div>Air pollution is a growing concern, especially during episodic events that significantly impact air quality and public health. This study examined the impact of air pollutants from an Liquefied Petroleum Gas (LPG) tank trailer explosion in Jaipur, focusing on pollutant transport and the role of meteorology in air quality changes in Jodhpur. The air quality across three phases Pre-Event, During-Event, and Post-Event was assessed by examining variations in pollutant (i.e., PM_2.5, PM₁₀, CO, NH₃) concentrations and their relationships with meteorological parameters. During the Pre-Event, PM_2.5 was low, while PM₁₀ were moderate. During the Event period, PM_2.5 and PM₁₀ concentrations surged severely to 380 μg/m³ and 430 μg/m³, respectively. CO peaking at 18.3 mg/m³, and NH₃ at 17.2 μg/m³, reflecting severe air quality deterioration. The Air Quality Index (AQI) level was 372 in the Pre-Event and reached 435 during the Event. Air Pollutant concentrations and AQI improved post-event due to wind and atmospheric mixing. Meteorological factors, including humidity, boundary layer height, and wind speed, played a critical role in the transport and dispersion of pollutants, with their combined effect contributing significantly to pollutant behavior and air quality fluctuations. This study supports Sustainable Development Goals <strong>(SDG) 3</strong> by addressing air pollution health risks, SDG 11 by emphasizing sustainable urban air quality management, and SDG 13 by examining meteorological impacts on pollution dispersion.</div><div>Overall, the study underscores the importance of meteorological conditions in shaping pollutant dispersion and highlights the need for targeted air quality management strategies to mitigate health risks from episodic pollution events.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 10","pages":"Article 102639"},"PeriodicalIF":3.9,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144522400","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}

{"title":"Health impacts and drivers of long-term ozone and nitrogen dioxide exposure in urban China","authors":"Zhaoli Yang ,&nbsp;Fangliang Li ,&nbsp;Rongmin Ye ,&nbsp;Huiping Ge ,&nbsp;Hongyu Li ,&nbsp;Shulian Zhang ,&nbsp;Jiaxin Wang ,&nbsp;Yuan Zhao ,&nbsp;Hong Gao ,&nbsp;Tao Huang ,&nbsp;Jianmin Ma","doi":"10.1016/j.apr.2025.102640","DOIUrl":"10.1016/j.apr.2025.102640","url":null,"abstract":"<div><div>Air pollution is a significant global health hazard and a major risk factor for mortality. Like many regions experiencing rapid economic development and urbanization, China continues to face persistent air pollution, with increasing O₃ levels and NO₂ as critical pollutants. This study analyzed the spatiotemporal distribution of O₃ and NO₂ in urban China from 2015 to 2020 using online monitoring data. Concentration-response functions (CRFs) were employed to assess health impacts. The result reveals that, while NO₂ pollution has declined during the six-year period, its level was still above air quality standard, and O₃ levels have escalated. The study identified a 62,100 increase in combined O₃- and NO₂-related deaths in 2020 compared to 2015, with the highest health burdens occurring in Central China. Critically, a major factor increasing health risks from air pollution is population aging, since the elderly exhibit heightened biological susceptibility to pollutant exposure. This underscores a growing challenge not only for China but also for aging societies worldwide. Taking the vulnerability of the aging population into account, new age-sensitive air quality standards and measures to mitigate health consequences of criteria air pollutants become imperative.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 10","pages":"Article 102640"},"PeriodicalIF":3.9,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144501232","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}

{"title":"An integrated modeling framework for PM2.5 source apportionment in the Yangtze River Delta using WRF-CMAQ and ISAM","authors":"Qianqian Li ,&nbsp;Youliang Chen ,&nbsp;Hamed Karimian ,&nbsp;Qin Fan ,&nbsp;Raihan Abbasi","doi":"10.1016/j.apr.2025.102637","DOIUrl":"10.1016/j.apr.2025.102637","url":null,"abstract":"<div><div>With the increasing complexity of the PM_2.5 pollution problem and the diversity of emission sources, source apportionment analysis has become an important tool to better understand the nature of PM_2.5 pollution. In this study, the PM_2.5 emission sources in the Yangtze River Delta (YRD) urban agglomeration were analyzed using a two-layer nested the Weather Research and Forecasting (WRF) model and the Community Multiscale Air Quality (CMAQ) model, combined with the Integrated Source Apportionment Method (ISAM) pollution source analysis module. Based on a comprehensive analysis of sectoral PM_2.5 source data for the autumn and winter seasons, key characteristics emerged: Nanjing was dominated by industrial sources, Hangzhou was prominent in residential sources, Hefei had a relatively complex pollution composition, and Shanghai saw a significant decrease in contributions from transportation sources in autumn. From a seasonal perspective, the overall PM_2.5 concentration was higher in winter than in autumn. This was particularly marked by increased contributions from agricultural, industrial, and power generation sources, indicating either greater emission intensity or poorer atmospheric dispersion conditions during winter. By tracking the transport pathways across the Yangtze River Delta (YRD) urban agglomeration in both seasons, we found the following: In winter, the contribution percentages from local sources, intra-regional transport, and extra-regional transport were 15.05 %–36.3 %, 35.60 %–62.10 %, and 16.9 %–36.23 %, respectively. In autumn, the respective contributions were 26.00 %–45.13 %, 31.51 %–56.44 %, and 17.56 %–27.59 %. Overall, compared to autumn, the contribution of local sources to PM_2.5 decreased during winter, while the proportion from long-range transport increased.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 10","pages":"Article 102637"},"PeriodicalIF":3.9,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144522401","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}

{"title":"PM2.5-bound PAHs in Chinese typical non-ferrous smelting area: appointment and risk assessment associated with specific industrial and biomass sources","authors":"Jianwu Shi ,&nbsp;Xiajiao Wu ,&nbsp;Xinyu Han ,&nbsp;Yaoqian Zhong ,&nbsp;Jian Yang ,&nbsp;Ying Cao ,&nbsp;Senlin Tian ,&nbsp;Ping Ning","doi":"10.1016/j.apr.2025.102635","DOIUrl":"10.1016/j.apr.2025.102635","url":null,"abstract":"<div><div>The non-ferrous smelting industry (NSI) is a key source of atmospheric organic compounds, leading the serious impacts on the surrounding environment and the health of residents over industrial concentration areas. In this study, nine sampling sites were arranged in the NSI aggregation area for seasonal monitoring of PM_2.5-bound PAHs. Our results revealed that total concentration of PM_2.5-bound PAHs was 10.9 ± 4.70 ng/m³. These values reached 49.1 ng/m³ near the NSI, which were 2.8–4.2 times greater than the concentration of the background sample. Seasonal vary caused by sources and meteorology resulted in an average concentration in winter (16.2 ± 2.08 ng/m³) that was 2.6 times higher than that in summer. Based on appointment of specific sources, NSI sources account for 23.5 %–28.5 % of PAHs and biomass burning (BB) contributes significantly to PAHs, up to 28.9 % in spring. The long-range transportation of BB smoke in Southeast Asia is considered the major reason, combined with trajectories and fire spots. Risk assessment showed vehicle and NSI emissions accounted for over 71.1 % of the cancer risk from PM_2.5-bound PAHs exposure. Residents have a higher cancer risk in winter, and the incremental lifetime carcinogenic risk values of adults around the NSI exceed the threshold value (10⁻⁶). The results indicate that residents living near NSI areas face higher health risks, and suggest controlling and managing PAHs emissions related to the NSI.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 10","pages":"Article 102635"},"PeriodicalIF":3.9,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518528","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}

{"title":"Potential respiratory hazards of fungal exposure in the residential indoor environment: a systematic review","authors":"Hai Xiao ,&nbsp;Jianghong Yang ,&nbsp;Hongwei Lou ,&nbsp;Mingxin Luo ,&nbsp;Qin Yang","doi":"10.1016/j.apr.2025.102634","DOIUrl":"10.1016/j.apr.2025.102634","url":null,"abstract":"<div><div>As concern over indoor environmental health increases, the health risks associated with microbial exposure have received growing attention. Fungi, as ubiquitous airborne microorganisms, release spores and metabolites that can trigger allergic responses and contribute to the onset or exacerbation of respiratory diseases such as asthma and rhinitis. However, systematic evaluations of the relationship between indoor fungal contamination and respiratory health remain limited, especially under real-world exposure conditions. This review was conducted via comprehensive literature search on Web of Science, PubMed, and Google Scholar, covering studies from 1990 to 2025. A total of 94 studies were included, comprising 31 on fungal sources, 48 on respiratory health impacts, and 15 on prevention strategies in residential environments. Findings show that building deterioration, especially causing Penicillium and Aspergillus proliferation, is a major fungal source, and building materials affect species distribution. Filamentous fungi from various environmental sources are associated with allergic rhinitis, asthma, tonsillitis, adenoid hypertrophy, and impaired lung function. Current mitigation approaches focus on chemical and physical control measures. This review provides an integrated overview of fungal exposure sources in indoor environments, their respiratory health implications, and the underlying mechanisms, offering scientific insights for prevention and control of fungus-related diseases in residential settings.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 10","pages":"Article 102634"},"PeriodicalIF":3.9,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144501233","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}

{"title":"Real-time nowcasting of NO2 products from geostationary environment monitoring spectrometer using a conditional generative adversarial network","authors":"Jeong-Eun Park ,&nbsp;Yun-Jeong Choi ,&nbsp;Goo Kim ,&nbsp;Sungwook Hong","doi":"10.1016/j.apr.2025.102631","DOIUrl":"10.1016/j.apr.2025.102631","url":null,"abstract":"<div><div>In East Asia, megacities like Seoul, Tokyo, and Shanghai frequently recording high nitrogen dioxide (NO₂) concentrations due to traffic and industrial activity require urgent efforts to enhance short-term monitoring and forecasting systems. This research presents a deep-learning (DL) model for nowcasting atmospheric NO₂ concentration products derived from the geostationary environment monitoring spectrometer (GEMS) on the Geo-Kompsat-2B satellite from 1-h to 3-h. The DL model utilizes pairs of GEMS NO₂ products as input and output datasets. The nowcasting DL model was developed using a data-to-data (D2D) translation method incorporating conditional generative adversarial network techniques. The D2D-nowcast NO₂ model was trained and tested for 1, 2, and 3-h predictions. The test results of the D2D model demonstrated excellent statistical performance, including a correlation coefficient of 0.805, a root-mean-square error of 0.162 ⨉ 10¹⁶ molecules/cm², and a bias of 0.046 ⨉ 10¹⁶ molecules/cm² for the 3-h prediction. Furthermore, the D2D-nowcast NO₂ concentrations were validated using the Tropospheric Monitoring Instrument and Pandora NO₂ measurements, demonstrating high agreement. Consequently, this study aims to support real-time operational monitoring by supplementing temporal gaps in satellite observations without relying on numerical models and provides valuable supplements for decision-making by air quality forecasters.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 10","pages":"Article 102631"},"PeriodicalIF":3.9,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144329527","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}

{"title":"Reconstructing top-down global black carbon emissions using remote sensing and models","authors":"Shuo Wang ,&nbsp;Luoyao Guan ,&nbsp;Jason Cohen ,&nbsp;Kai Qin","doi":"10.1016/j.apr.2025.102633","DOIUrl":"10.1016/j.apr.2025.102633","url":null,"abstract":"<div><div>Black Carbon (BC) is both an absorbing component and air pollutant that significantly impacts environment, climate, and human health. Currently, the monitoring of BC emissions relies primarily on bottom-up inventories, which often lack spatial and temporal validation or verification from satellite-based observational platforms. This gap limits our understanding of BC's concentration and variability over time and space. This study reconstructs a BC emission inventory based on separate bottom-up and top-down Kalman Filter estimations from 2002 to 2009 yielding a variable enhancement factor in different areas. EOF (Empirical Orthogonal Function) is employed to identify 9 unique BC source regions contributing over 77 % of the variance, in alignment with climatological patterns of NO₂ and UVAI (Ultraviolet Aerosol Index) observations during this period. Simplified inversion emission estimation provides a medium to high confidence inventory that effectively captures both geographic and temporal variations of BC across different regions and percentiles. The emission difference between our inversion and a priori estimation is not uniform, with BC emissions globally underestimated by a factor of 1.8–4.0. Urban and rapidly developing regions including Europe, China, United States, and India are highly underestimated in the a priori inventory.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 10","pages":"Article 102633"},"PeriodicalIF":3.9,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144313082","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}

{"title":"Characteristics and sources of volatile organic compounds and their impacts on ozone formation in a coastal city of southeastern China","authors":"Chende Gai ,&nbsp;Chuanyou Ying ,&nbsp;Xugeng Cheng ,&nbsp;Fei Jiang ,&nbsp;Jing Lin ,&nbsp;Zhixiong Chen ,&nbsp;Lei Shu ,&nbsp;Jun Hu ,&nbsp;Dongsheng Jiang ,&nbsp;Mengmiao Yang ,&nbsp;Jane Liu","doi":"10.1016/j.apr.2025.102632","DOIUrl":"10.1016/j.apr.2025.102632","url":null,"abstract":"<div><div>Ozone (O₃) pollution is a severe environmental issue, highlighting the critical role of volatile organic compounds (VOCs), a precursor of O₃, in urban air pollution control. In this study, we analyzed continuous hourly measurements of VOCs and O₃ in 2022 in a coastal city of southeast China, Fuzhou, to characterize VOC seasonal variations and sources, as well as their contributions to O₃ formation in the region. The results show that the annual mean concentrations of VOCs is 18.3 ± 10.4 ppbv, which is much lower than cities in northern and central China. According to the emission ratios, VOCs in Fuzhou are significantly impacted by liquefied petroleum gas and natural gas (LPG/NG) (30.6 %), but are less affected by vehicle exhaust emissions (20.9 %) than those in Chinese megacities, because of the consumption of clean energy increased to 30 % in Fuzhou. Seasonally, VOC sources exhibit a higher proportion of the solvent source in summer, driven by increased production from the agricultural fertilizers, integrated circuits, and beverage production. In autumn, the elevated industrial VOC emissions, including cement and petrochemical industries, contribute a high proportion of 23.1 % to the total VOC. The proportion of LPG/LPG source in winter is higher than in other seasons, mainly due to the growth in VOCs emissions and the increase in emissions from burning sources. The LPG/NG and vehicle exhaust source are the primary contributors to O₃ formation potential (OFP) throughout the year, except in summer when vehicle and solvent emissions become the leading contributors to OFP. Finally, we identified multiple elevated O₃ events associated with increases in VOCs. We conservatively estimate that on average of these events, a 59.4 % increase in VOCs and a 37.3 % increase in NO₂ could lead to a rise of 38.5 % in O₃ concentrations on the following day under comparable local meteorological conditions. This study provides policymakers with new scientific references to formulate effective VOC control measures for curbing O₃ pollution in southeastern China.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 10","pages":"Article 102632"},"PeriodicalIF":3.9,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144321623","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}

{"title":"Atmospheric deposition of anthropogenic microfibers in different indoor environments of Chennai, India","authors":"A Angel Jessieleena ,&nbsp;Iniyan K.E. ,&nbsp;Amit Singh Chandel ,&nbsp;Sancia Verus D’Sa ,&nbsp;Nilofer M. ,&nbsp;Indumathi M. Nambi","doi":"10.1016/j.apr.2025.102629","DOIUrl":"10.1016/j.apr.2025.102629","url":null,"abstract":"<div><div>Microplastics, particularly microplastic fibers, are one of the emerging pollutants of concern. However, recent studies emphasized the predominance of artificial and natural microfibers over microplastic fibers. Despite this, research focusing on all types of microfibers, commonly grouped as anthropogenic microfibers (MFs) remains limited, especially in residential indoor environments. Therefore, this study explored the indoor MFs deposition in the residential homes of Chennai, India, a first such study in the country. Additionally, workplaces, including offices, laboratories, and hostel rooms, were examined. Bedrooms (16,736 ± 7,263 MF/m²/day) and student hostels (5,572 ± 2,898 MF/m²/day) recorded highest contamination in respective categories, and this could be attributed to the abundance of textile products in both the rooms. MFs&lt;500 μm dominated in both residential (78.8 %) and workplace (65.9 %) samples. The observed diameter of MFs (2.02–36.4 μm) indicate their potential to penetrate human lungs. μ-FTIR analysis revealed the distribution of semi-synthetic (48.2 %), natural (29.3 %) and synthetic (22.5 %) MFs, underscoring the need to consider all categories of MFs. Further classification revealed textiles (rayon - 94.5 ± 6.40 %, cotton - 68.1 ± 6.12 %, and polyethylene terephthalate (PET) - 48.1 ± 11.5 %) as a significant source of contamination. The detection of black rubber/latex MFs indicates additional contributions from road dust. Surface morphological analysis further highlighted the primary role of indoor/local sources in MFs contamination. Overall, the study emphasizes the need to monitor all categories of MFs and calls for comprehensive investigations into the impact of various sources on indoor MFs contamination.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 10","pages":"Article 102629"},"PeriodicalIF":3.9,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144321622","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}

{"title":"Year-long variability of the mixing layer height at an urban Mediterranean location and association with air pollution levels","authors":"K. Petrinoli ,&nbsp;D.G. Kaskaoutis ,&nbsp;A. Bougiatioti ,&nbsp;E. Liakakou ,&nbsp;G. Grivas ,&nbsp;P. Kalkavouras ,&nbsp;N. Mihalopoulos","doi":"10.1016/j.apr.2025.102612","DOIUrl":"10.1016/j.apr.2025.102612","url":null,"abstract":"<div><div>This study examines the planetary boundary layer characteristics and the association with atmospheric pollutants in Athens, aiming to assess the effects of boundary-layer dynamics on pollution levels. Ceilometer (CL31) profiles of backscatter coefficient (BSC) were used to compute the mixing layer height (MLH) based on the gradient method under cloudless conditions, revealing higher values in summer (mean: 955 m) and lower in winter (mean: 556 m). The annual mean MLH displayed a pronounced diurnal pattern depending on season with a mean value of 902 ± 337 m at noon, decreased to 525 ± 336 m at midnight. The MLH maximized at 15:00 (UTC+2) (mean: 1293 ± 337 m) closely related to surface heating and turbulent mixing conditions. MLH variations are interrelated with the local wind patterns, with stronger winds mostly from northeast directions during May–September, facilitating higher MLH and dispersion of pollutants. PM_2.5, Black Carbon (BC) and NO_x concentrations were strongly linked to variations of MLH, exhibiting negative correlations with it, while O₃ exhibited a similar diurnal pattern with MLH (maximizing during early afternoon) due to its photochemical production and possible intrusion from upper atmospheric levels. Apart from changes in the emission sources due to domestic heating during wintertime, the shallow MLH along with stable atmospheric conditions, further exacerbate the accumulation of pollutants near the surface, with emphasis on BC. Two case studies regarding enhanced BC levels due to residential wood burning and transported smoke plumes were analyzed to assess the impacts of MLH variations on pollutant concentrations.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 10","pages":"Article 102612"},"PeriodicalIF":3.9,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144281084","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}