Air Quality Atmosphere and Health最新文献

{"title":"Assessment of the level of pollution based on soil and Tilia × europaea leaves","authors":"Edina Simon,&nbsp;Haziq Bin Ismail,&nbsp;Bianka Sipos,&nbsp;Vanda Éva Abriha-Molnár,&nbsp;Dávid Abriha,&nbsp;Dávid Tőzsér,&nbsp;Zsófi Sajtos,&nbsp;Rafael Boluda,&nbsp;Luis Roca-Pérez","doi":"10.1007/s11869-026-02003-7","DOIUrl":"10.1007/s11869-026-02003-7","url":null,"abstract":"<div><p>Anthropic activities related to urbanization release pollutants, including potentially toxic elements which can deposit in soils, water, and vegetation. Thus, soil and plant leaves are widely used as ecological indicators to assess the effect of urbanization. This study aimed to evaluate the impact of urbanization based on the elemental concentration of soil and leaves of <i>Tilia × europaea</i> from urban, suburban, and rural areas along an urbanization gradient in Debrecen, Hungary. The rural area was situated near Nagyerdő, a protected area for nature conservation The suburban area was intermediate between the rural and urban areas regarding urban density. The urban study area was at the centre of the urban community to maximize the observable effect of urban pollution. Using inductively coupled plasma optical emission spectrometry (ICP-OES) technique, the concentration of Ba, Cd, Co, Cr, Cu, Ni, Pb, Sr, and Zn was analysed and based on them, bioaccumulation factor (BAF) was calculated. The highest concentration of all elements was found in soil samples from urban areas, with an increasing tendency along the urbanization gradient. A significant difference was found along the urbanization gradient only for Cr based on the plant leaves. <i>T. × europaea</i> showed bioaccumulation capacity for Cr and Sr. Our results suggest that urbanization has a remarkable effect on the elemental concentration of soil, which is a perfect ecological indicator. At the same time, we concluded that the <i>T. × europaea</i> was not sufficiently sensitive to detect the effect of urbanization.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"19 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11869-026-02003-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147829938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding forest carbon sink efficiency for climate mitigation: spatiotemporal dynamics and spatial spillover effects in China","authors":"Huaiyu Huang,&nbsp;Jiaoyang Dang,&nbsp;Zhiwen Gong","doi":"10.1007/s11869-026-02002-8","DOIUrl":"10.1007/s11869-026-02002-8","url":null,"abstract":"<div><p>Accurately evaluating forest carbon sink efficiency and identifying the sources of regional disparities are crucial for enhancing the climate mitigation potential of forest ecosystems and advancing global carbon neutrality targets. This study employs panel data from 285 prefecture-level cities in China (2003–2021) to measure forest carbon sink efficiency using the Super-SBM model and to examine its spatiotemporal dynamics. The Spatial Durbin Model (SDM) is further employed to identify influencing factors and spatial spillover effects. Key findings reveal: (1) The national average forest carbon sink efficiency was 0.41, exhibiting a three-stage pattern of fluctuating growth, relative stabilization, and short-term decline. (2) Southwest China and South-Central China outperformed other regions, while North China and Northwest China remained below the national average. (3) The spatial pattern of forest carbon sink efficiency can be characterized as “high‑value embeddedness, low‑value dominance”. High‑efficiency regions were mainly distributed as point‑shaped clusters in the Northeast forest region and Southwest China, whereas low‑efficiency regions were concentrated in Northwest China, North China, and parts of East China. (4) Economic development and increased precipitation directly promote local forest carbon sink efficiency, whereas urbanization rate, the expansion of built-up areas, and scientific and technological input exert inhibitory effects. Industrial structure optimization, scientific and technological input, and transportation infrastructure demonstrate significant spatial spillover effects on forest carbon sink efficiency in neighboring regions. These findings provide a scientific basis for optimizing regional forest carbon sink management strategies and promoting cross-regional ecological coordination.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"19 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147829937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Chasing development, breathing danger: health and economic losses from urban PM2.5 and O₃ pollution in the Yangtze River Delta, China","authors":"Fang Liu,&nbsp;Junyao Wang,&nbsp;Muhammad Bilal,&nbsp;Binxiu Xu","doi":"10.1007/s11869-026-02005-5","DOIUrl":"10.1007/s11869-026-02005-5","url":null,"abstract":"<div><p>Urban co-pollution by PM₂.₅ and O₃ poses divergent public health and economic challenges. Using concentration-response functions and the value of statistical life (VSL) model, this study quantifies health and economic burdens across 41 YRD cities from 2014 to 2023 and identifies distinct drivers via two-way fixed effects regression. Key findings show that PM₂.₅-related premature deaths declined by 7.77% per year, while O₃-related premature deaths rose by 4.72% annually, revealing a critical PM₂.₅–O₃ displacement. Economic losses from PM₂.₅ fell by 12.6% per year, yet those from O₃ increased by 4.87%, underscoring growing ozone-driven economic risk. PM₂.₅ rises with population density and industrial SO₂, but falls with urbanization, civil motor vehicle ownership, and industrial structure upgrading; O₃ declines with population density but increases with vehicle ownership. These stark contrasts necessitate spatially targeted, pollutant-specific governance: VOC control and urban greening in high-density cores; stringent NOₓ regulation, rapid electric vehicle deployment, and fuel standard upgrades along suburban–rural transport corridors; and regionally coordinated summer O₃ joint prevention, explicitly embedding health equity and climate co-benefits. Only such an integrated, place-informed strategy can effectively reverse the O₃ paradox and deliver durable public health gains.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"19 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147829936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Harmful gas monitoring and safe re-entry time assessment in T-shaped blasting tunnel","authors":"Biying Long,&nbsp;Jiaan Gu,&nbsp;Zhuwei Xie","doi":"10.1007/s11869-026-01998-3","DOIUrl":"10.1007/s11869-026-01998-3","url":null,"abstract":"<div><p>The development and utilization of underground spaces effectively alleviate social problems such as energy scarcity and environmental pollution. However, the harmful gases produced during construction period of underground spaces posed a serious impact on the health of workers. To efficiently discharge the harmful gases and improve the construction efficiency, a combination of field measurement and numerical simulation was conducted on the spatiotemporal diffusion characteristics of the harmful gases and the safe re-entry time in a T-shaped blasting tunnel with short straight section. The field measurement results indicated that CO was the main target for harmful gas prevention and control. The numerical simulation results showed that the harmful gases produced by the short blasting metro tunnel posed pollution to the non-blasting metro tunnel, and the distribution characteristics of the supply air volume were significantly different from those in long straight tunnels. Furthermore, the relationship between CO diffusion distance in construction channel and ventilation time exhibited a quadratic polynomial function. While the safe re-entry time presented a power function relationship with the average cross-sectional air velocity. The increase of supply air volume can shorten the safe re-entry time, however the shortening effect gradually weakened, accompanied by an increase in ventilation energy consumption. The research can provide valuable insights into the healthy and efficient control of underground construction environments.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"19 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147830088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Clean energy and healthy lives: Understanding the energy–environment–health nexus in brics using a non-parametric approach","authors":"Chandrashekar Raghutla,&nbsp;Shaik Afroz,&nbsp;Muhammed Favas","doi":"10.1007/s11869-026-01997-4","DOIUrl":"10.1007/s11869-026-01997-4","url":null,"abstract":"<div>\u0000 \u0000 <p>Across the globe, rising public health risks are inextricably linked to air pollution. As a result, countries have begun to minimise public health risks by accelerating the energy transition, increasing health expenditure, and strengthening environmental regulations. Therefore, the study goal is to examine the impact of energy transition, health expenditure and environmental regulations on health status, considering the important role of R&amp;D investments and public health risk in BRICS nations from 2000 to 2022 by employing the Method of Moments Quantile Regression (MMQR) and Driscoll–Kraay Standard Error approach. The study findings confirm that healthcare spending, environmental regulations, and energy transition can improve healthcare services by fostering infrastructure development, implementing stringent laws, and increasing energy accessibility, ultimately enhancing health status. Research and development expenditure and public health risks reduce health status due to a lack of strategic funding and air pollution. Subsequently, the study found health status has a bi-directional causality with health expenditure, energy transition, environmental regulations, research and development and public health risk. Therefore, the government and policymakers should encourage strategic allocation of healthcare and research expenditures to improve health status by strengthening medical and preventive care services.</p>\u0000 </div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"19 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147797191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Investigating wildfire smoke-related emergency department visits and syndromic surveillance in New Mexico 2019–2022","authors":"Olivia Sablan,&nbsp;Bonne Ford,&nbsp;Colin B. Hawkinson,&nbsp;Leiqiu Hu,&nbsp;Jihoon Jung,&nbsp;Chelsea Eastman Langer,&nbsp;Courtney Maichak,&nbsp;Kamal Jyoti Maji,&nbsp;Stephanie Moraga-McHaley,&nbsp;Joseph O’Dell,&nbsp;Christopher K. Uejio,&nbsp;Melissa VanSickle,&nbsp;Emily V. Fischer,&nbsp;Jeffrey R. Pierce,&nbsp;Sheryl Magzamen","doi":"10.1007/s11869-026-01988-5","DOIUrl":"10.1007/s11869-026-01988-5","url":null,"abstract":"<div>\u0000 \u0000 <p>Wildfires are the largest source of primary fine particulate matter (PM_2.5) in the US, and PM_2.5 exposure is associated with a suite of negative health impacts. Epidemiological studies of wildfire smoke exposure typically rely on hospitalizations and Emergency Department (ED) visits to assess health outcomes. However, substantial reporting delays limit usefulness for near real-time public health response. Syndromic Surveillance (SS) is a voluntary reporting system based on chief complaints and/or discharge diagnoses from the ED that is available near-real time, but has been used in fewer epidemiological studies of wildfire smoke exposure. We conducted a time-stratified case crossover study to compare association between wildfire smoke PM_2.5 exposure and ED visits versus SS in New Mexico from 2019–2022. Our results showed some consistency between ED visits and SS reports for all respiratory-related, asthma, and all-cardiovascular related ED visits versus SS reports; however, there were meaningful differences in significance and magnitudes of several odds ratios. The “Air Quality-Related Respiratory Illness” SS definition may be useful for studying the impact of wildfire smoke exposure, with significantly increased odds per 10 µg m⁻³ smoke PM_2.5. These results were comparable to all respiratory-related SS reports. Overall, we hypothesize that SS could be a valuable tool for allocating resources during an intense, local wildfire event. Future work should be conducted to further our understanding of the use of SS in epidemiological studies of wildfire smoke exposure.</p>\u0000 </div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"19 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147796633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Integrated analysis of elemental speciation, source apportionment, and pollution risk assessment attributable to PM2.5 exposure in Faridabad, India","authors":"Neha Yadav,&nbsp;Kavita Yadav,&nbsp;Sakshi Gupta,&nbsp;Narayanasamy Vijayan,&nbsp;Sudhir Kumar Sharma,&nbsp;Somvir Bajar","doi":"10.1007/s11869-026-01995-6","DOIUrl":"10.1007/s11869-026-01995-6","url":null,"abstract":"<div>\u0000 \u0000 <p>Faridabad is among the most industrialized cities in India, with constantly high fine particulate matter (PM_2.5) concentrations due to intensive industrial activities, traffic congestion, and combustion-related emissions. The samples of PM_2.5 were collected at two representative sites of Faridabad from July 2022 to July 2023 to investigate the mass concentrations, elemental composition, source apportionment, and associated ecological risk. Statistical analysis showed that the mean PM_2.5 concentrations (mean ± standard error) were 108 ± 16 µg m^− 3 at site 1 and 154 ± 11 µg m^− 3 at site 2, indicating substantially elevated particulate loadings in the study region. The mean PM_2.5 levels were significantly above the national threshold levels, especially during post-monsoon and winter seasons. The samples were analysed using wavelength-dispersive X-ray fluorescence analysis, enabling the quantification of 27 elements. The Positive Matrix Factorization (PMF) analysis identified five major sources of PM_2.5, including crustal dust, combustion, biomass burning, industrial emissions, and mixed sources, and the contribution of the sources was similar at both the sites. Industrial emission and combustion-related activities are dominant contributor to PM_2.5 mass, while seasonal variability was mainly caused by meteorological conditions and episodic burning processes. Enrichment factor (EF) analysis established significant contribution of several toxic metals through anthropogenic sources. Although the contamination degree indicated localized high metal enrichment, both the pollution load index and the potential ecological risk suggested that the overall ecological risk remained the low to moderate range. The integrated results highlight the dominance of industrial and combustion activities in PM_2.5 pollution in Faridabad and provide scientific evidence to support targeted emission control strategies rapidly growing urban-industrial regions.</p>\u0000 </div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"19 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147796711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Comparative assessment of the vertical distribution of respirable particulate matter in surface coal and metal mines using unmanned aerial vehicle mounted low-cost sensor","authors":"Abhishek Penchala,&nbsp;Aditya Kumar Patra,&nbsp;Namrata Mishra,&nbsp;Dhruti Sundar Pradhan,&nbsp;Bhanuprakash Thota","doi":"10.1007/s11869-026-01993-8","DOIUrl":"10.1007/s11869-026-01993-8","url":null,"abstract":"<div>\u0000 \u0000 <p>Assessing respirable particulate matter (PM) concentration along the vertical depth of the surface mine provides important information on exposure risks, source contributions, and dispersion dynamics. This study investigates the variation of PM₁₀, PM_2.5, and PM₁ mass concentration at different vertical depths in two 130 m deep surface mines (coal and metal). Using a low-cost PM sensor mounted on an unmanned aerial vehicle (UAV), a total of 54 vertical flights were conducted from the pit bottom to the pit top. Analysis of UAV measurements revealed a significant variability in airborne PM levels at different depths. Coal and metal mines have shown elevated PM levels at the pit bottom and minimum concentrations at the pit top. Higher PM concentrations were reported in the coal mine compared to the metal mine, due to the greater amount of material (coal and overburden) being handled. Both mines have shown a decreasing PM concentration profile, with a higher fall in the metal (24–73%) compared to the coal mine (6–57%) for a similar vertical depth. This can be attributed to the high-density metal particles having a quicker settling tendency than the finer and less dense coal dust particles. Health risk assessment of miners due to inhalation of mining-generated PM indicated that the deposited mass of PM per unit lung area varies between 0.04 and 0.12 µg m^− 2. The findings of this study provide information for estimating exposure to different working groups and for forecasting PM concentrations under scenarios of mine expansion.</p>\u0000 </div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"19 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147738391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Green technology in emerging countries: assessing the interplay of ICT trade and renewable energy consumption in reducing environmental pollution","authors":"Eugene Ray Atsi,&nbsp;Decai Tang,&nbsp;Michael Provide Fumey,&nbsp;Grace Selina Deede Mintah","doi":"10.1007/s11869-026-01984-9","DOIUrl":"10.1007/s11869-026-01984-9","url":null,"abstract":"<div>\u0000 \u0000 <p>Green technology is pivotal for addressing global challenges such as climate change. It emphasizes the acquisition of solutions that are environmentally friendly, resource-efficient, and sustainable in the long term. Therefore, this study examines the role of integrating ICT trade with renewable energy consumption (REC) in promoting green technology through green growth, technology diffusion, and energy transition theories, thereby reducing ecological pollution (CO₂, N₂O, and CH₄ emissions). Using panel data from 2000 to 2020 across BRICS nations, this study analyzes linear, nonlinear, and mediating effects at both group and country-specific levels using Canonical Correlation Regression (CCR) and Fully Modified Ordinary Least Squares (FMOLS). The group-level analysis reveals that the ICT trade significantly intensifies N₂O and CH₄ emissions. However, integrating the ICT trade and the REC significantly decreases N₂O and CH₄ emissions. Conversely, the interplay of ICT trade and REC reveals an inverted U-shaped link with N₂O and CH₄ emissions. The mediating effect after introducing government effectiveness and environmental policies as mediators persisted reliably with the results of the linear effect; however, environmental policies showed a more robust mediator in mitigating environmental pollution. Finally, at the country-specific level, ICT trade and REC individually increase N₂O and CH₄ emissions in Brazil, Russia, and South Africa; however, synergizing ICT trade and REC mitigate N₂O and CH₄ emissions.</p>\u0000 </div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"19 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147738334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Foliar dust retention capability and source identification of atmospheric particulates in local urban environments of Xuzhou, China","authors":"Yuhan Ou,&nbsp;Mingrui Li,&nbsp;Rui Zhang,&nbsp;Li Xing","doi":"10.1007/s11869-026-01994-7","DOIUrl":"10.1007/s11869-026-01994-7","url":null,"abstract":"<div>\u0000 \u0000 <p>Atmospheric particulate matter (PM) in local urban environments poses a major public-health risk, yet precise monitoring is often hindered by complex sources and strong spatial variability. Because plant leaves act as natural passive samplers, they offer a practical complement for assessing urban PM pollution. In this study, we quantified foliar dust retention for 25 representative greening species across 10 urban sites in Xuzhou, China. Dust retention differed significantly among the species and was associated mainly with leaf pubescence and surface roughness. Therefore, a principal component analysis (PCA)-based trait ranking was used only as an exploratory screen, identifying <i>Celtis sinensis</i>, <i>Magnolia grandiflora</i>, <i>Platanus acerifolia</i>, <i>Eriobotrya japonica</i>, <i>Phyllostachys viridis</i>, <i>Aucuba japonica</i> var. <i>variegata</i>, <i>Koelreuteria paniculata</i>, <i>Morus alba</i>, <i>Loropetalum chinense</i> var. <i>rubrum</i>, and <i>Eucommia ulmoides</i> as the highest-retention species. Furthermore, to interpret the captured PM, Scanning Electron Microscope-Energy Dispersive Spectrometer (SEM–EDS) analysis (supported by X-ray Diffraction) was used to resolve four particle types—silicate minerals, coal-derived carbonaceous particles, traffic soot aggregates, and clay/construction dust, with the results revealed strong site sensitivity. Specifically, site 6 was dominated by traffic soot; site 9 reflected soil resuspension and construction material transport; and coal-related particles were ubiquitous across sites, indicating a persistent combustion legacy. Foliar retention by shrubs and trees (&gt; 4.5 m) qualitatively tracked mapped PM₁₀ patterns and showed height-dependent interception, supporting the use of urban vegetation as localized PM sinks and biomonitors. Quantitative calibration will require denser sampling, mobile monitoring, and model-corrected PM metrics.</p>\u0000 </div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"19 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147738129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}