Atmospheric Pollution Research最新文献

Exergy, exergoeconomic, environmental damage cost, and performance-emissions trade-off analysis of two-stroke UAV engine operating with phytol and benzene fuel additives 使用植物醇和苯燃料添加剂的二冲程无人机发动机的能源、燃料经济性、环境破坏成本和性能排放权衡分析

IF 3.9 3区环境科学与生态学

Atmospheric Pollution Research Pub Date : 2026-11-01 Epub Date: 2026-10-24 DOI: 10.1016/j.apr.2026.103249

Halil Erdi Gülcan, Usame Demir, Salih Özer, Erdal Tunçer

{"title":"Exergy, exergoeconomic, environmental damage cost, and performance-emissions trade-off analysis of two-stroke UAV engine operating with phytol and benzene fuel additives","authors":"Halil Erdi Gülcan, Usame Demir, Salih Özer, Erdal Tunçer","doi":"10.1016/j.apr.2026.103249","DOIUrl":"10.1016/j.apr.2026.103249","url":null,"abstract":"<div><div>Two-stroke Unmanned Aerial Vehicle (UAV) engines offer high power-to-weight ratios but present challenges in fuel efficiency and environmental impact. This study comparatively investigates the effects of phytol, a bio-based oxygenated diterpene alcohol, and benzene, an aromatic hydrocarbon, on the performance, exergy, exergoeconomic characteristics, and exhaust emissions of a two-stroke UAV engine. Experiments were conducted at five engine speeds (3250–6250 rpm) using gasoline blended with 10% and 20% phytol (P10, P20) or benzene (B10, B20) by volume. The experimental results were evaluated through an integrated assessment combining exergy analysis, Specific Exergy Costing (SPECO), and calculations of environmental impact and damage costs based on measured gaseous pollutants. Compared with reference gasoline, P20 increased exergy destruction by an average of 8.4% and decreased exergy efficiency by 6.8%, whereas B20 increased exergy destruction by 3.6% and reduced exergy efficiency by 3.0%. Despite these thermodynamic results, P10 reduced the calculated total environmental impact by an average of 1.2%, while B20 increased it by 3.3%. The calculated environmental damage costs decreased for all investigated additive blends within the adopted pollutant valuation framework. However, the high commercial purchase price of phytol adversely affected its exergoeconomic performance. These findings highlight important trade-offs between thermodynamic efficiency, fuel-related economic costs, and exhaust emission-related environmental indicators. The results provide a comparative experimental basis for further investigation of alternative fuel additives in lightweight UAV engines.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 11","pages":"Article 103249"},"PeriodicalIF":3.9,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149348571","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}

引用次数: 0

Spatio-temporal variation of ultraviolet radiation (UVR) and its relationship with distinct aerosol types over the Indo-Gangetic Plain 印度河-恒河平原紫外线辐射时空变化及其与不同气溶胶类型的关系

IF 3.9 3区环境科学与生态学

Atmospheric Pollution Research Pub Date : 2026-11-01 Epub Date: 2026-10-22 DOI: 10.1016/j.apr.2026.103247

Ankita Mall, Sachchidanand Singh

{"title":"Spatio-temporal variation of ultraviolet radiation (UVR) and its relationship with distinct aerosol types over the Indo-Gangetic Plain","authors":"Ankita Mall, Sachchidanand Singh","doi":"10.1016/j.apr.2026.103247","DOIUrl":"10.1016/j.apr.2026.103247","url":null,"abstract":"<div><div>The interaction between aerosols and ultraviolet radiation (UVR) is relevant to surface radiative flux and thus has implications for climate, ecosystems and human health. However, the role of different aerosol optical regimes in modulating surface UVR remains poorly understood, especially over substantially polluted regions, like IGP. IGP experiences some of the highest aerosol loadings worldwide from both natural and anthropogenic sources, making the region ideal for studying optically diverse aerosol regimes and their effects on UVR attenuation. The present study analyses spatio-temporal fluctuations in aerosol optical characteristics and UVA/B irradiances at six locations in the IGP- Delhi, Gandhi College, Kanpur, Jaipur, Karachi, and Lahore-from 2005 to 2022. We have characterised four aerosol optical regimes based on aerosol optical depth (AOD), Ångström exponent (AE), single-scattering albedo (SSA) and fine-mode fraction (FMF). These regimes are classified based on optical properties, not their chemical compositions. HYSPLIT backward trajectories and cluster analysis identified likely source regions of four aerosol regimes annually. To reduce the effects of solar geometry, UV irradiances were further stratified into four SZA percentile bands, with aerosol–UV relationships analysed within each band. UV attenuation varied from 0 to 6 Wm<sup>-2</sup> across aerosol regimes, with the largest decreases in UVA and UVB at urban and semi-urban sites, linked to black carbon and polluted continental regimes. Long-term trends show that a unit increase in AOD over the IGP (excluding Karachi) significantly reduces surface UV irradiance. These results provide an observational, multi-site overview of aerosol optical UV variability over the IGP.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 11","pages":"Article 103247"},"PeriodicalIF":3.9,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149349162","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}

引用次数: 0

Episode analysis of the characteristics and causes of PM2.5–O3 co-pollution in Beijing-Tianjin-Hebei and Yangtze River Delta, China 京津冀、长三角地区PM2.5-O3共污染特征及成因集点分析

IF 3.9 3区环境科学与生态学

Atmospheric Pollution Research Pub Date : 2026-11-01 Epub Date: 2026-10-23 DOI: 10.1016/j.apr.2026.103248

Yu Zhao, Liren Xu, Yi Gao, Shuo Zhang, Yuhui Zhao, Meigen Zhang, Zining Yang

{"title":"Episode analysis of the characteristics and causes of PM2.5–O3 co-pollution in Beijing-Tianjin-Hebei and Yangtze River Delta, China","authors":"Yu Zhao, Liren Xu, Yi Gao, Shuo Zhang, Yuhui Zhao, Meigen Zhang, Zining Yang","doi":"10.1016/j.apr.2026.103248","DOIUrl":"10.1016/j.apr.2026.103248","url":null,"abstract":"<div><div>PM<sub>2.5</sub>–O<sub>3</sub> co-pollution remains a serious air quality concern in eastern China. Long-term (2015–2023) trends in six regions were examined using the Class I thresholds of GB 3095–2026 (daily PM<sub>2.5</sub> > 35 μg m<sup>−3</sup>, MDA8 O<sub>3</sub> > 100 μg m<sup>−3</sup>). Four spring and autumn episodes in Beijing-Tianjin-Hebei (BTH) and the Yangtze River Delta (YRD) were simulated with WRF-Chem. Integrated process rate (IPR) analysis quantified the contributions to PM<sub>2.5</sub> components and O<sub>3</sub>. PM<sub>2.5</sub> declined in all six regions while O<sub>3</sub> increased, and co-pollution days reached a minimum in 2021–2022 before rebounding. In the north co-pollution occurred mainly in spring and summer, and in the south in spring and autumn. Two synoptic mechanisms were identified: Type A, stagnant and photochemically driven, and Type B, transport-dominated and pre-frontal; one episode was transitional. Nitrate dominated the secondary inorganic aerosol (37–55% of PM<sub>2.5</sub> mass on peak days). Aerosol chemistry (AERCHEM) dominated nitrate formation in BTH, whereas in YRD transport acted as a net sink and the remaining contributions largely cancelled. Photochemical O<sub>3</sub> production was much stronger in YRD than in BTH, with maximum CHEM (chemical production) about 60% higher. Larger transport outflows reduced but did not offset this advantage, so net column accumulation remained higher in YRD in all four episodes. Near the surface, chemical production decreased rapidly with height, and vertical mixing exported O<sub>3</sub> upward. These findings call for region- and season-specific controls: reducing VOCs and NO<sub>x</sub> in Type A and coordinating with upwind provinces in Type B.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 11","pages":"Article 103248"},"PeriodicalIF":3.9,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149349163","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}

引用次数: 0

Evaluating personal air quality monitors for PM2.5 and CO2: Insights from a year-long pilot study 评估PM2.5和CO2的个人空气质量监测仪：一项为期一年的试点研究的见解

IF 3.9 3区环境科学与生态学

Atmospheric Pollution Research Pub Date : 2026-10-01 Epub Date: 2026-09-25 DOI: 10.1016/j.apr.2026.103210

Sotirios Papathanasiou, Christos D. Argyropoulos

{"title":"Evaluating personal air quality monitors for PM2.5 and CO2: Insights from a year-long pilot study","authors":"Sotirios Papathanasiou, Christos D. Argyropoulos","doi":"10.1016/j.apr.2026.103210","DOIUrl":"10.1016/j.apr.2026.103210","url":null,"abstract":"<div><div>This paper presents the use of portable air quality monitors (PAQMs) to measure exposure to fine particulate matter (PM<sub>2.5</sub>) and carbon dioxide (CO<sub>2</sub>), as well as to investigate their performance and accuracy. It also assesses the practicality of PAQMs, and challenges related to their usage. Two PAQMs were selected to monitor personal exposure in different indoor and outdoor settings in Granada and Almeria, Spain. The obtained measurements showed an annual average PM<sub>2.5</sub> exposure at 4.4 μg/m<sup>3</sup>, which fulfil the World Health Organization (WHO) guideline threshold of 5 μg/m<sup>3</sup>. However, managing air ventilation was more difficult, resulting in an average annual CO<sub>2</sub> concentration of 1077 ppm. This study came across with significant challenges, including data retrieval failures that led to data loss, the difficulty of carrying two devices, inconsistent battery life, and confusing data interpretation for immediate actions, among others. It is concluded that PAQMs are useful for personal environmental awareness, however, their effectiveness is limited by hardware issues and data presentation methods that are not suited for prompting quick behaviour changes. Significant improvements are necessary in device integration, battery longevity and data communication to facilitate and enhance wider use and better results.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 10","pages":"Article 103210"},"PeriodicalIF":3.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149153654","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}

引用次数: 0

Forecasting ground-level ozone in Shenyang using interpretable machine learning: Interaction between air pollutants and climate factors 利用可解释机器学习预测沈阳市地面臭氧：空气污染物与气候因子的相互作用

IF 3.5 3区环境科学与生态学

Atmospheric Pollution Research Pub Date : 2026-04-01 Epub Date: 2025-11-29 DOI: 10.1016/j.apr.2025.102836

Shenao Fan, Yunfeng Ma

{"title":"Forecasting ground-level ozone in Shenyang using interpretable machine learning: Interaction between air pollutants and climate factors","authors":"Shenao Fan, Yunfeng Ma","doi":"10.1016/j.apr.2025.102836","DOIUrl":"10.1016/j.apr.2025.102836","url":null,"abstract":"<div><div>Ground-level ozone (GLO), produced through reactions between <figure><img></figure> and VOCs under sunlight, is a toxic secondary pollutant that adversely impacts ecosystems and human well-being. This study proposes an interpretable, high-resolution forecasting framework based on a weighted ensemble of machine learning algorithms, including LightGBM, XGBoost, and CatBoost. Using hourly observational data from Shenyang, China (2020–2025), the model incorporates meteorological, temporal, and air quality features to capture annual-scale ozone variability. The ensemble outperformed individual learners, achieving strong predictive accuracy (<span><math><mrow><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup><mo>=</mo><mn>0</mn><mo>.</mo><mn>868</mn></mrow></math></span>, MAE = <span><math><mrow><mn>10</mn><mo>.</mo><mn>3</mn><mspace></mspace><mi>μ</mi><mtext>g</mtext><mo>/</mo><msup><mrow><mtext>m</mtext></mrow><mrow><mn>3</mn></mrow></msup></mrow></math></span>, RMSE = <span><math><mrow><mn>14</mn><mo>.</mo><mn>7</mn><mspace></mspace><mi>μ</mi><mtext>g</mtext><mo>/</mo><msup><mrow><mtext>m</mtext></mrow><mrow><mn>3</mn></mrow></msup></mrow></math></span>). To enhance interpretability, SHAP analysis was used to reveal nonlinear interactions among meteorological and chemical drivers. High temperatures and moderate humidity were found to promote ozone formation. Seasonal transport patterns identified by concentration-weighted trajectory (CWT) analysis revealed dominant local photochemistry in summer and stronger long-range influence in winter. The proposed framework offers both predictive accuracy and physical interpretability, supporting early warning and targeted ozone control strategies. Its transferable design enables application to other urban regions with complex atmospheric conditions.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 4","pages":"Article 102836"},"PeriodicalIF":3.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147584587","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}

引用次数: 0

Study of VOCs levels and sources in three office buildings in Northern Greece 希腊北部三座办公楼中挥发性有机化合物水平和来源的研究

IF 3.5 3区环境科学与生态学

Atmospheric Pollution Research Pub Date : 2026-04-01 Epub Date: 2025-11-29 DOI: 10.1016/j.apr.2025.102837

Giannis Papadopoulos , Vasiliki Skopeliti , Evangelos Tolis , Dikaia Saraga , Giorgos Panaras

{"title":"Study of VOCs levels and sources in three office buildings in Northern Greece","authors":"Giannis Papadopoulos , Vasiliki Skopeliti , Evangelos Tolis , Dikaia Saraga , Giorgos Panaras","doi":"10.1016/j.apr.2025.102837","DOIUrl":"10.1016/j.apr.2025.102837","url":null,"abstract":"<div><div>The modern way of life has led humans to consume more than 90 % of their everyday lives in indoor spaces like residences, workplaces and public buildings; thus, ensuring a healthy and comfortable environment is crucial. Indoor air quality is one of the most important parameters directly related to the health and comfort of a building's users. The evaluation of indoor air quality, and more precisely the assessment of the factors that affect it, as well as the correlation between chemical substances and their source of origin, is of great research interest. Determining the sources of indoor air pollution is challenging due to the wide range and high variability of indoor pollutants, the intricate physical and chemical processes that serve as primary sources, sinks, and origins of precursors for secondary pollutant formation, as well as the interactions with outdoor environmental factors. All these can be achieved using Source Appointment methods. In this study, air quality measurements were conducted in three office buildings with different characteristics, in the region of Western Macedonia, to determine the concentration of different volatile organic compounds (VOCs), indoors and outdoors. The analysis of these samples was carried out using the GC/MS method. The results of the analysis were used as input to a receptor model and specifically Positive Matrix Factorization (PMF), to detect the sources that contributed to the measured concentrations. The results identified the main sources of VOCs emissions, which reveal indoor and outdoor sources based on building characteristics, outdoor environment and human activities.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 4","pages":"Article 102837"},"PeriodicalIF":3.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147584588","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}

引用次数: 0

Community based air pollution measurements in Europe: Opportunities and challenges 欧洲基于社区的空气污染测量：机遇与挑战

IF 3.5 3区环境科学与生态学

Atmospheric Pollution Research Pub Date : 2026-04-01 Epub Date: 2025-12-11 DOI: 10.1016/j.apr.2025.102854

Anna-Kaisa Viitanen, Alonso Espinosa Mireles de Villafranca, Jonathon Taylor

{"title":"Community based air pollution measurements in Europe: Opportunities and challenges","authors":"Anna-Kaisa Viitanen, Alonso Espinosa Mireles de Villafranca, Jonathon Taylor","doi":"10.1016/j.apr.2025.102854","DOIUrl":"10.1016/j.apr.2025.102854","url":null,"abstract":"<div><div>Exposure to particles with a diameter smaller than 2.5 μm (PM<sub>2.5</sub>) poses a threat to human health. Monitoring of PM<sub>2.5</sub> often relies on sparse networks of standardized instruments, but in many locations, official networks are supplemented by networks of low-cost PM sensors operated by members of the community. This study aims to evaluate the open low-cost PM<sub>2.5</sub> sensor networks across Europe by analysing data from Sensor.Community and OpenAQ, assessing completeness and reliability as well as growth, coverage, locations, and correlation in comparison with official measurements. As of 2023, there were 8735 low-cost PM<sub>2.5</sub> sensors in Europe publicly sharing data on these networks, or more than three times the number of official stations. Results indicate these sensors are primarily in residential urban areas with higher population densities, higher income levels, and average levels of ambient PM<sub>2.5</sub>. The analysis shows that although official measurement stations provide more consistent coverage across Europe, in many cities the low-cost PM<sub>2.5</sub> sensor network is denser and can potentially complement the official network and provide insights for authorities, researchers and citizens. The rapid growth of openly available low-cost PM<sub>2.5</sub> sensor data presents a growing opportunity to enhance the spatial coverage of monitored PM<sub>2.5</sub> exposure estimates and understanding of local PM<sub>2.5</sub> sources, both indoors and outdoors. However, challenges exist with inconsistent methods for data quality control, absent metadata, and sensor placement and location biases which need to be addressed for example through harmonized measurement protocols, collecting more complete metadata and with advanced data cleaning and processing methods.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 4","pages":"Article 102854"},"PeriodicalIF":3.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147584678","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}

引用次数: 0

Atmospheric Black Carbon (BC) characteristics over Indore, a data-deficit region in India 印度数据不足的印多尔地区大气黑碳（BC）特征

IF 3.5 3区环境科学与生态学

Atmospheric Pollution Research Pub Date : 2026-04-01 Epub Date: 2025-11-19 DOI: 10.1016/j.apr.2025.102831

V. Sreekanth , Nivedita Barman , Beatriz Cardenas , Daniel Peters , Ramón A. Alvarez , Prakash Doraiswamy

{"title":"Atmospheric Black Carbon (BC) characteristics over Indore, a data-deficit region in India","authors":"V. Sreekanth , Nivedita Barman , Beatriz Cardenas , Daniel Peters , Ramón A. Alvarez , Prakash Doraiswamy","doi":"10.1016/j.apr.2025.102831","DOIUrl":"10.1016/j.apr.2025.102831","url":null,"abstract":"<div><div>This study presents a comprehensive characterization of BC pollution over Indore, a data-deficient region in central India. Continuous, year-long real-time measurements using a microAeth were conducted as part of the Clean Air Catalyst (CAC) initiative. These BC measurements were complemented by collocated fine particulate matter (PM<sub>2.5</sub>) and Carbon Monoxide (CO), and surface meteorological observations. Highest BC levels were recorded during the winter (5.2 μg m<sup>−3</sup>) and post-monsoon (4.8 μg m<sup>−3</sup>) seasons, while the monsoon season registered the lowest concentrations (1.9 μg m<sup>−3</sup>). Fossil fuel combustion was the dominant source, contributing approximately 84 % of the BC mass, while biomass burning accounted for 16 %. BC comprised around 6–12 % of the PM<sub>2.5</sub> across different seasons. About 70 % of the observed BC originated from local emission sources, primarily due to vehicular and industrial activities. A comparison of MERRA-2 reanalysis BC data with in-situ measurements revealed significant underestimation by MERRA-2 and a low temporal correlation (r = 0.34). These findings (i) support the adoption of evidence-based air pollution mitigation plans by city administrations, (ii) highlight the need for both city-level and regional scale mitigation efforts, (iii) underscore the inadequacy of global reanalysis datasets in capturing urban BC dynamics in central India, and (iv) advocate for long-term ground-based BC monitoring to inform regional emission inventories and assess the effectiveness of mitigation strategies.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 4","pages":"Article 102831"},"PeriodicalIF":3.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147584682","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}

引用次数: 0

Identification of regional PM2.5 transport dynamics with an adaptive data-driven model 基于自适应数据驱动模型的区域PM2.5输送动态识别

IF 3.5 3区环境科学与生态学

Atmospheric Pollution Research Pub Date : 2026-04-01 Epub Date: 2025-12-13 DOI: 10.1016/j.apr.2025.102859

Chang Yan , Xuanming Zhang , Yan Yu , Xin Zheng , Guangming Shi , Fumo Yang

{"title":"Identification of regional PM2.5 transport dynamics with an adaptive data-driven model","authors":"Chang Yan , Xuanming Zhang , Yan Yu , Xin Zheng , Guangming Shi , Fumo Yang","doi":"10.1016/j.apr.2025.102859","DOIUrl":"10.1016/j.apr.2025.102859","url":null,"abstract":"<div><div>Regional transport of pollutants imparts fluidity and non-local characteristics to PM<sub>2.5</sub> pollution, posing significant challenges for timely air quality management. Traditional approaches for identifying transport pathways rely on accurate and near-real-time wind field data, limiting their applicability for near-real-time analysis. In this study, a fully data-driven deep learning framework was developed to infer the major PM<sub>2.5</sub> transport channels without requiring precise wind field inputs. Applied to the Sichuan Basin, a region characterized by complex terrain and frequent haze events, the adaptive graph-generated adjacency structure learned from historical pollutant and meteorological data aligns closely with the prevailing directions of air mass movement. High-weighted stations are primarily located in upwind, neighboring, and downwind regions relative to the receptor site, consistent with observed diffusion patterns. The agreement with HYSPLIT results further confirms the model's ability to identify physically meaningful transport pathways. These findings indicate that, even in the absence of accurate wind field data, historical spatiotemporal variations in pollutant concentrations alone can reveal physically interpretable transport patterns. This approach enables near-real-time identification of regional transport dynamics and provides both methodological innovation and practical value for coordinated air quality management in complex basin environments.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 4","pages":"Article 102859"},"PeriodicalIF":3.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147584683","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}

引用次数: 0

Modelling urban roads particulate matter and airborne traffic-related metals exposure: AERMOD-Support vector machine hybrid framework for Monte Carlo health risk assessment 模拟城市道路颗粒物和空中交通相关金属暴露：蒙特卡洛健康风险评估的aermod -支持向量机混合框架

IF 3.5 3区环境科学与生态学

Atmospheric Pollution Research Pub Date : 2026-04-01 Epub Date: 2026-02-06 DOI: 10.1016/j.apr.2026.102944

Muhammad Hassan Bashir, Asad Abbas, Hamaad Raza Ahmad, Muhammad Tahir Shehzad

{"title":"Modelling urban roads particulate matter and airborne traffic-related metals exposure: AERMOD-Support vector machine hybrid framework for Monte Carlo health risk assessment","authors":"Muhammad Hassan Bashir, Asad Abbas, Hamaad Raza Ahmad, Muhammad Tahir Shehzad","doi":"10.1016/j.apr.2026.102944","DOIUrl":"10.1016/j.apr.2026.102944","url":null,"abstract":"<div><div>Urban roads air pollution from fine particulate matter (PM<sub>2.5</sub>) is a major environmental concern. Toxic metals associated with PM<sub>2.5</sub> pose health risks but remain poorly studied in Pakistan. In present investigation, the dust and PM<sub>2.5</sub> bound metals pollution with associated health risks were evaluated by cumulative field measurements, dispersion modelling, and machine learning. For this purpose, dust was collected from solar panels, and airborne PM<sub>2.5</sub> was gathered using a low volume sampler for dual seasons (June and December). Along urban roads, the PM<sub>2.5</sub> dispersion generated by vehicular activities was simulated using the AERMOD Gaussian dispersion model. Then, utilizing AERMOD outputs and Wheater data for Support Vector Machine (SVM) model were trained to forecast metals (As, Cd, Cr, Ni, Pb, and Zn) in both dust and PM<sub>2.5</sub>. Elevated concentrations of Zn, Cu, and Cd were observed in PM<sub>2.5</sub> and deposited dust, and AERMOD modeled PM<sub>2.5</sub> mass concentrations peaked at 115.7 μg/m<sup>3</sup>, exceeding applicable regulatory limits. The SVM approach attained significant predictive accuracy for metal concentrations (R<sup>2</sup> = 0.75, 0.81, 0.85 for As, Cd, and Pb). Health risk perspective, hexavalent chromium (Cr (VI)) posed the substantial noncarcinogenic and carcinogenic risk in both seasons. The observed and SVM predicted metals total cancer risk ranged for PM<sub>2.5</sub> (TCR ≤10<sup>−4</sup>) and dust (TCR <10<sup>−6</sup>), and hazard index varied for PM<sub>2.5</sub> (HI > 1) and dust (HI < 1) in both seasons, respectively. The study was limited by minor roads data and lack of local emission standards; future research should include deeper local modelling and extensive traffic emissions databases.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 4","pages":"Article 102944"},"PeriodicalIF":3.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147584765","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}

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