Atmospheric Pollution Research最新文献

{"title":"Concurrent measurements of atmospheric Hg in outdoor and indoor at a megacity in Southeast Asia: First insights from the region","authors":"Ly Sy Phu Nguyen ,&nbsp;Le Quoc Hau ,&nbsp;Thi Dieu Huong Pham ,&nbsp;Nguyen Thi Thuy ,&nbsp;To Thi Hien","doi":"10.1016/j.apr.2024.102326","DOIUrl":"10.1016/j.apr.2024.102326","url":null,"abstract":"<div><div>Atmospheric mercury (Hg) is a critical indoor (ID) air pollutant and necessitates stringent monitoring. However, studies have primarily focused on Hg outdoors (OD) compared to ID, with no investigations conducted within the Southeast Asia (SEA) region. In this study, total gaseous Hg (TGM) concentrations and human exposure levels were investigated across various site characteristics in Ho Chi Minh City (HCMC), a megacity in SEA. The measured TGM concentrations for OD and ID were 5.12 ± 6.87 ng m⁻³ (1.20–48.7 ng m⁻³) and 34.5 ± 60.3 ng m⁻³ (1.26–271.9 ng m⁻³). The overall ID/OD ratio was 5.01 (0.77–9.3), signifying markedly elevated ID TGM concentrations. This ratio increases in the following order: shopping malls (1.50) &lt; hospitals (3.21) &lt; chemical laboratories (5.76) &lt; households (11.7). Notably, sites associated with Hg incidents and the utilization of Hg-contained chemicals demonstrate notably high ID/OD levels, ranging from 8.0 to 40.1. The use of Hg-containing chemicals within the chemical laboratory serves as a significant contributor to heightened ID TGM levels. Non-combustion Hg sources, therefore, play an important role in inducing the ID TGM level. The hazard index (HQ) values observed for ID and OD were 0.1 and 0.01, respectively, indicating a negligible risk of exposure to TGM within the study area. However, HQ values recorded within laboratory environments employing Hg-associated chemicals and dental hospitals were 1–17 times greater compared to other sites. The present work provides new insight into the non-combustion ID source of TGM and was helpful for upcoming studies in exploring potential sources of TGM in megacities.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"15 12","pages":"Article 102326"},"PeriodicalIF":3.9,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427891","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":"Investigating the role of photochemistry and impact of regional and local contributions on gaseous pollutant concentrations (NO, NO2, O3, CO, and SO2) at urban and suburban sites","authors":"Sofia Eirini Chatoutsidou,&nbsp;Mihalis Lazaridis","doi":"10.1016/j.apr.2024.102322","DOIUrl":"10.1016/j.apr.2024.102322","url":null,"abstract":"<div><div>Gaseous pollutant concentrations were monitored for one year in urban (NO, NO₂, O₃, CO, and SO₂) and suburban (NO, NO₂, and O₃) sites. Common characteristics were identified at both sites, such as higher concentrations during typical winter months for all pollutants except O₃. Increased NO, NO₂, CO and SO₂ concentrations during wintertime were linked to residential heating emissions, with pairwise correlations showing CO as marker for the study site. O₃ production was lower in wintertime but higher in summertime at both sites based on its seasonal cycle and the impact of sunlight. Furthermore, diurnal variations showed that traffic emissions during rush hours most profoundly affected CO and NO. Nevertheless, NO_x were characteristically higher at the urban site based on the burdened environment, whereas O₃ was higher at the suburban site due to the lower destruction rates. O₃ was the dominant oxidant at both sites, with a linear regression between OX and NO_x revealing a negative relationship. This observation suggested a dominant regional contribution to oxidant concentrations. In addition, abnormally high O₃ concentrations in relation to the season were reported for the first time at the study sites. Elevated concentrations were measured in parallel with Sahara dust events indicating noteworthy atmospheric conditions that require further assessment. Other O₃ burdened periods were driven by regional transport of polluted plumes from the northeast. Lastly, nocturnal increases in O₃ were observed and associated with enhanced vertical mixing.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"15 12","pages":"Article 102322"},"PeriodicalIF":3.9,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427889","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":"Sensitivity of AERMOD (V21112) RLINEXT dispersion model outputs by source type to variability in single noise barrier height and separation distance","authors":"Hongyu Lu ,&nbsp;Daejin Kim ,&nbsp;Haobing Liu ,&nbsp;Tian Xia ,&nbsp;William Reichard ,&nbsp;Michael O. Rodgers ,&nbsp;Randall Guensler","doi":"10.1016/j.apr.2024.102318","DOIUrl":"10.1016/j.apr.2024.102318","url":null,"abstract":"<div><div>The U.S. Environmental Protection Agency (USEPA) introduced the RLINEXT modeling feature in the latest versions of AERMOD (since version v21112) to predict traffic-induced pollutant concentration when noise barriers are present. The research presented in this paper explores the impacts of noise barrier characteristics on AERMOD-predicted concentrations. The research finds that because AERMOD can currently only attach one barrier to each road side, and because that barrier only impacts the source to which it is attached, it is also important to split links so that they properly pair with barriers. Given the sensitivity of AERMOD-predicted concentrations to barrier characteristics (i.e., barrier heights and distances to roadway), the research also concludes that barriers must be appropriately matched with input links. This study investigated the sensitivity of CO concentration predicted by the latest AERMOD under various noise barrier conditions (barrier heights and distances between road and barrier) and meteorological conditions (wind directions and wind speeds). The results indicate that ground-level concentration of downwind receptors decreases with increased barrier heights, and that distant barriers have less of an impact on predicted concentrations. This study also explored the impact of noise barrier on both horizontal and vertical concentration profiles, indicating that concentrations rise behind the barrier as plumes are predicted to loft over the barrier. The sensitivity analysis associated with splitting roadway links to match with barriers indicated an impact on predicted concentration for certain receptors of up to 10%, but the overall the impact on maximum concentrations was marginal.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"15 12","pages":"Article 102318"},"PeriodicalIF":3.9,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Carbonaceous aerosol emissions from secondary lighting sources: Emission factors and optical properties","authors":"Chimurkar Navinya ,&nbsp;Taveen Singh Kapoor ,&nbsp;Gupta Anurag ,&nbsp;Chandra Venkataraman ,&nbsp;Harish C. Phuleria","doi":"10.1016/j.apr.2024.102321","DOIUrl":"10.1016/j.apr.2024.102321","url":null,"abstract":"<div><div>India is shifting towards cleaner residential fuels, but this transition does not fully address household lighting challenges. Power disruptions, especially in rural areas, lead to the use of secondary lighting sources such as kerosene lamps, edible oil lamps, and candles. Our previous work identified kerosene wick and hurricane lamps as major secondary lighting sources in Indian households. This study presents the emission factors (EF) and optical properties of carbonaceous aerosols from five major secondary lighting devices in India, measured using a laboratory extractor hood system. Dominant secondary lighting devices, such as simple wick lamps (61.4 ± 9.8 g kg⁻¹) and hurricane lamps (17.2 ± 4.8 g kg⁻¹), exhibit higher elemental carbon (EC) EFs than typical residential biomass burning. Sesame oil lamps, primarily used in India during the Diwali festival, also have significant EC emission potential, with an EC EF of 71.6 ± 16.9 g kg⁻¹. The low absorption Angstrom exponent (AAE) of ∼1 at near-UV wavelengths indicates a dominance of black carbon (BC) and negligible brown carbon absorption, corroborated by very low organic carbon concentrations. India-wide EC emissions (12.5 Gg year⁻¹) from residential kerosene lighting show a higher (∼50%) contribution from eastern India. Additionally, the use of oil lamps during the Diwali festival could emit ∼3 Gg of EC in two days, with a potential reduction of ∼90% if wax-based lamps replace oil lamps. These measured EFs, aerosol optical properties, and estimated emissions will help future studies derive more accurate climate and health impacts from these otherwise overlooked lighting devices.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"15 12","pages":"Article 102321"},"PeriodicalIF":3.9,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427375","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":"Environmental risk estimation of potentially toxic metal(loid)s (PTMs) in fine particulate dust on the surface of children's playgrounds in parks","authors":"Tong Zhu ,&nbsp;Xinwei Lu ,&nbsp;Zhenze Wang ,&nbsp;Sijia Deng ,&nbsp;Yingsen Zhang ,&nbsp;Kai Lei ,&nbsp;Shigang Chao ,&nbsp;Bo Yu ,&nbsp;Yufan Yang","doi":"10.1016/j.apr.2024.102319","DOIUrl":"10.1016/j.apr.2024.102319","url":null,"abstract":"<div><div>To determine the priority control factors for risk control and management of potentially toxic metal(loid)s (PTMs) in fine particulate dust (FPD) on the surface of children's playgrounds in parks, a comprehensive study was conducted on the pollution, risks, and sources of 12 PTMs in the FPD, taking Xi'an, China as a case. The pollution, ecological and health risks of PTMs were assessed using Nemerow integrated enrichment factor, modified Nemerow integrated eco–risk index, and health risk evaluation model, combined with Monte Carlo simulation. The sources of PTMs in the FPD were quantitatively apportioned using a positive matrix factorization model. Priority control factors for PTMs risk control and management were determined based on the results of source–oriented pollution and risk assessment. The results showed that the average contents (mg kg⁻¹) of Cd (1.9), Cr (99.8), Cu (96.3), Hg (0.2), Pb (61.1), and Zn (239.4) in the FPD were considerably greater than local background values. The sources of PTMs in the FPD are industrial emission, coal combustion and medical activities, mixed source, and natural source, contributing 24.7%, 18.2%, 35.1%, and 22.1% to the total content of PTMs in the FPD, respectively. PTMs in the FPD posed a certain cancer risk to the elderly and children. Industrial emissions and mixed sources are priority control sources, while Cd and Cr are priority PTMs. It is recommended that local eco–environmental departments strengthen environmental monitoring of playgrounds, as well as management of industrial and transportation emissions, to ensure the health of residents.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"15 12","pages":"Article 102319"},"PeriodicalIF":3.9,"publicationDate":"2024-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142316050","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 risks of PM2.5-bound metals at a street canyon: Implication for traffic non-exhaust emissions","authors":"Zhangsen Dong ,&nbsp;Minghao Yuan ,&nbsp;Yifei Xu ,&nbsp;Shanshan Wang ,&nbsp;Shenbo Wang","doi":"10.1016/j.apr.2024.102317","DOIUrl":"10.1016/j.apr.2024.102317","url":null,"abstract":"<div><div>Traffic non-exhaust emissions are a significant source of toxic metals in fine particular matter (PM_2.5), and thus pose adverse effects on human health. PM_2.5-bound metals were sampled at a street canyon and urban background site during ozone and haze periods in Zhengzhou. Higher metal concentrations were observed at the street canyon than at the urban background site, which was more affected by traffic non-exhaust, oil combustion, and dust emissions. Consequently, PM_2.5-bound metals may cause significant non-carcinogenic and carcinogenic hazards to residents at the street canyon. Traffic non-exhaust and oil combustion were the primary contributors to the non-carcinogenic and carcinogenic risk at the street canyon, respectively. Furthermore, the severe health risk of PM_2.5-bound metals from traffic non-exhaust emissions will remain for a long time at street canyons. This work reveals the health risks from vehicles at street canyons, which is beneficial for further reduction of traffic-related emissions.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"15 12","pages":"Article 102317"},"PeriodicalIF":3.9,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142319389","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":"Mining of dynamic traffic-meteorology-atmospheric pollutant association rules based on Eclat method","authors":"Yonghong Liu,&nbsp;Xinru Yang,&nbsp;Kui Liu,&nbsp;Rui Xu,&nbsp;Yuzhuang Pian,&nbsp;Shikun Liu","doi":"10.1016/j.apr.2024.102305","DOIUrl":"10.1016/j.apr.2024.102305","url":null,"abstract":"<div><div>With the rapid increase of urban vehicles, the atmospheric compound pollutants, notably PM<span><math><msub><mrow></mrow><mrow><mn>2</mn><mo>.</mo><mn>5</mn></mrow></msub></math></span> and O<span><math><msub><mrow></mrow><mrow><mn>3</mn></mrow></msub></math></span>, have significantly increased and seriously affected public health. Traffic and meteorological conditions are the primary influencing factors of pollutant concentrations, and their spatial and temporal changes affect the dispersion of pollutants. Increasing use of high-resolution big data offers opportunities to explore these correlations. More extensive quantitative studies are essential for effective air pollution control. This study presents an Eclat algorithm to quantitatively reveal the relationship between traffic, meteorology and pollutants with hourly and 5-minute scale data in the urban area of Guangzhou. We establish a research framework covering temporal pollution analysis, multifactor rule mining, and spatial effects. The results show that <span><math><mrow><mi>P</mi><msub><mrow><mi>M</mi></mrow><mrow><mn>2</mn><mo>.</mo><mn>5</mn></mrow></msub></mrow></math></span> and O<span><math><msub><mrow></mrow><mrow><mn>3</mn></mrow></msub></math></span> exhibit coordinated trends on the daily scale influenced by traffic flow and meteorology conditions, but on the hourly scale, they are negatively correlated. At the 5-minute scale, synchronized variations occur only during specific periods. This finer scale better identifies association rules for high-concentration pollutant scenarios, and non-roadside sites outperform roadside sites in mining these associations. For example, when humidity is below 37%, atmospheric pressure is 1016.2–1020.3 Pa, wind speed is 1.7–2.6 m/s, and the traffic volume on Jiefang North Road exceeds 635 vehicles every 5 min, there is a 92.86% probability that the <span><math><mrow><mi>P</mi><msub><mrow><mi>M</mi></mrow><mrow><mn>2</mn><mo>.</mo><mn>5</mn></mrow></msub></mrow></math></span> concentration at GYQ (a non-roadside monitoring site) will exceed 127 <span><math><mi>μ</mi></math></span>g/m<span><math><msup><mrow></mrow><mrow><mn>3</mn></mrow></msup></math></span>. These findings enhance our understanding of how dynamic traffic and meteorological conditions impact atmospheric pollutants and provide a scientific basis for regional collaborative pollution prevention.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"15 12","pages":"Article 102305"},"PeriodicalIF":3.9,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142326677","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":"Winter atmospheric deposition of trace elements in the Arkhangelsk region (NW Russia): Insights into environmental effects","authors":"Dina P. Starodymova ,&nbsp;Ekaterina I. Kotova ,&nbsp;Vladimir P. Shevchenko ,&nbsp;Ksenia V. Titova ,&nbsp;Olga N. Lukyanova","doi":"10.1016/j.apr.2024.102310","DOIUrl":"10.1016/j.apr.2024.102310","url":null,"abstract":"<div><p>Atmospheric precipitation is an important indicator of ecological status. Snow cover accumulates all atmospheric precipitation that occurs during the cold season and releases large amounts of matter into surface water streams during spring snowmelt. We measured chemical composition of suspended solids (&gt;0.45 μm) and dissolved matter (&lt;0.45 μm) of atmospheric precipitation sampled on a monthly basis in 4 stations of Arkhangelsk region in cold seasons of 2018–2021. The fluxes of insoluble particles increase consistently in the spring months. In winter, the largest fluxes of suspended solids from the atmosphere were observed in the urbanized areas (in Severodvinsk and Onega). Snow in Onega showed a significant enrichment in Mn as well as Rb, Sr, Cs, Ba and Pb, which is related to boiler house emissions. Severodvinsk snow is enriched in V, Ni in dissolved fraction and Al, V, Cu, Sr, Pb in suspended solids. The environmental risk assessment shows that Onega station is affected to high and extremely polluted conditions for Mn concentration and Severodvinsk station is affected to multi-element pollution from moderate to significant levels. Comparison with the composition of the river runoff of the Northern Dvina showed that the concentrations of Cu, Zn, Cd and Pb in the snow are equal to or even higher than the river concentrations, indicating that atmospheric precipitation accumulated during winter can significantly affect the geochemistry of river runoff with respect to these elements.</p></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"15 12","pages":"Article 102310"},"PeriodicalIF":3.9,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142272007","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":"A correlation study of road dust pollutants, tire wear particles, air quality, and traffic conditions in the Seoul (South Korea)","authors":"Hyeokjin Shin ,&nbsp;Minseung Hyun ,&nbsp;Sohee Jeong ,&nbsp;Hyeonjung Ryu ,&nbsp;Min Gyu Lee ,&nbsp;Woosuk Chung ,&nbsp;Jaehwan Hong ,&nbsp;Jung-Taek Kwon ,&nbsp;Jaewoong Lee ,&nbsp;Younghun Kim","doi":"10.1016/j.apr.2024.102309","DOIUrl":"10.1016/j.apr.2024.102309","url":null,"abstract":"<div><div>The interdependence of traffic dynamics and air quality on the concentrations of tire wear particles (TWP), heavy metals, and carbon black (CB) in road dust collected from 15 locations in Seoul, South Korea, was assessed. Pearson correlation, principal component analysis, and network analysis were employed to evaluate the correlations among traffic volume, vehicle speed, air quality parameters (PM₁₀, PM_2.5, NOx, and CO), and the concentrations of TWP (5934 to 16,253 mg/kg, average 9581 ± 4086 mg/kg), CB (371–22,287 mg/kg, average 4291 ± 6096 mg/kg), and heavy metals (Cr, Mn, Fe, Ni, Cu, Zn, As, Cd, and Pb) in road dust. The enrichment factors for heavy metals and the pollution index of TWP and CB were also calculated to evaluate the contribution of vehicle-derived particulate substances to road dust contamination. It was found that Cluster B, characterized by traffic-related variables such as traffic volume, vehicle speed, and heavy metals (Zn, Cd, and Pb), was significantly correlated with these pollutants, with correlation coefficients reaching up to 0.933. TWP was identified as a significant mediator in the increase of Zn, Pb, and Cd concentrations linked to traffic activities, contributing to pollution levels that were 2–16 times higher than the geochemical background. The presence of TWP and CB in road dust was identified as an indicator of contamination from traffic-related activities, highlighting the importance of Zn, Pb, and Cd as emerging pollutants that require targeted management strategies.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"15 12","pages":"Article 102309"},"PeriodicalIF":3.9,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142311007","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":"Ambient air pollution and stroke risk among different accumulation patterns of comorbidities: Casual inference study based on marginal ‘between-within’ model","authors":"Zemeng Zhao ,&nbsp;Moning Guo ,&nbsp;Peng Tan ,&nbsp;Xue Tian ,&nbsp;Yuhan Zhao ,&nbsp;Lulu Liu ,&nbsp;Lili Luo ,&nbsp;Hui Luo ,&nbsp;Xiaonan Wang ,&nbsp;Xiangtong Liu ,&nbsp;Xiuhua Guo ,&nbsp;Jing Wei ,&nbsp;Yanxia Luo","doi":"10.1016/j.apr.2024.102308","DOIUrl":"10.1016/j.apr.2024.102308","url":null,"abstract":"<div><div>Previous studies showed that ambient air pollution is a risk factor for stroke. But its effects on patients with different comorbidity accumulation patterns and the causal relationship remain unclear. Hospitalization data were collected from the Beijing Municipal Health Commission Information Center. Pollutant data, including particulate matter (PM_2.5, PM₁₀, PM₁, PM_1-2.5), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), carbon monoxide (CO), and ozone (O₃) from 2014 to 2017, were obtained from the widely-used ChinaHighAirPollutants dataset. An individual-level case-crossover design was employed to identify case days and control days. The exposure-response association was estimated by fitting conditional logistic regression models. The newly proposed marginal ‘between-within’ models were used to estimate counterfactual hospitalization probability. In a total of 237 487 stroke patients, 211 741 diagnosed with ischemic stroke (IS) and 25 641 with hemorrhagic stroke (HS). Except for SO₂, the seven pollutants were associated with higher risk of overall stroke and IS. Particulate matter showed larger estimated effects in patients with hypertension and diabetes but without hyperlipidemia. NO₂ and CO showed larger estimated effects in patients with hypertension but without diabetes. O₃ showed larger estimated effects in patients with hypertension, diabetes, and hyperlipidemia. PM₁, PM₁₀, NO₂, and CO had statistically significant and persistent causal relationships with stroke risk during the lag periods. This study highlighted the need for targeted interventions of air pollution. Prioritizing control measures for PM₁, PM₁₀, NO₂, and CO is particularly crucial in stroke prevention efforts.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"15 12","pages":"Article 102308"},"PeriodicalIF":3.9,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427888","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}