Air Quality Atmosphere and Health最新文献

{"title":"Polycyclic aromatic hydrocarbons and elements in tree barks in a Brazilian metropolis","authors":"Guilherme Martins Pereira,&nbsp;Emerson Queiroz Mota do Nascimento,&nbsp;Adriana Gioda,&nbsp;Pérola de Castro Vasconcellos","doi":"10.1007/s11869-024-01669-1","DOIUrl":"10.1007/s11869-024-01669-1","url":null,"abstract":"<div><p>Biomonitoring can be essential for air pollution assessment since active sampling methods might be costly and involve complicated logistics. In this context, the study focused on sampling tree barks near a petrochemical complex in an urban area in the Metropolitan Area of São Paulo (Brazil). These samples were chemically characterized, with the determination of polycyclic aromatic hydrocarbons (PAHs), metals, and metalloids. Fluoranthene and pyrene were the most abundant PAH in half of the samples, representing 20% or more of total PAHs. The PAH diagnostic ratios indicated that the samples were affected by local light-duty vehicular emissions. However, they also suggested different contributions of industrial sources and heavy-duty vehicles. Fe, Zn, Mn, and Cu were the most abundant elements, and considering the enrichment factors (EF), Zn, Cd, Cu, Sn, and Pb were more associated with anthropogenic sources (EF &gt; 25). EFs were higher for some samples collected in the northwest vicinity of the complex, which were more affected by the industry plumes, especially concerning Zn and Cd. Ni and V, previously associated with industrial emissions, presented relatively lower EFs than other elements. Both species also presented moderate correlations. Low Cu/Zn ratios suggested a relatively high Zn abundance compared to other sources, suggesting an extra source for this species in this industrial-impacted area. These results suggested a combination of different anthropogenic sources affecting the composition of tree barks in that area and zinc as a possible local emission fingerprint.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 3","pages":"743 - 754"},"PeriodicalIF":2.9,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143786424","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":"Carcinogenic and non-carcinogenic risk assessment of heavy metals in PM2.5 air pollutant in Ulaanbaatar, Mongolia during the wintertime","authors":"Odbaatar Enkhjargal,&nbsp;Munkhnasan Lamchin,&nbsp;Xue Yi You,&nbsp;Jonathan Chambers,&nbsp;Davaagatan Tuyagerel,&nbsp;Renchinmyadag Tovuudorj,&nbsp;Zolzaya Khurelsukh,&nbsp;Enkhmaa Sarangerel,&nbsp;Nyamgerel Enkhtuya","doi":"10.1007/s11869-024-01678-0","DOIUrl":"10.1007/s11869-024-01678-0","url":null,"abstract":"<div><p>In recent decades, fine particulate matter air pollution has increased due to coal combustion, resulting in detrimental effects on public health. This study aimed to assess the health risk associated with fine particulate matter (PM_2.5) using the US EPA risk assessment method and to determine which variable exerts a stronger influence. Eight heavy metals were measured from Ulaanbaatar city center and ger area within the scope of the project “Capacity development project for air pollution control in Ulaanbaatar Mongolia” funded by JICA (Japan International Cooperation Agency), and the processed results were disseminated. The concentration of heavy metals in the city center, from highest to lowest, were Cu &gt; Cr &gt; Mn &gt; Ni &gt; Zn &gt; Ba &gt; Pb &gt; Mo &gt; As, while in the ger area they were Cu &gt; Zn &gt; Mn &gt; Ni &gt; Cr &gt; Pb &gt; Ba &gt; As &gt; Mo. In both the city center and the ger area, 6 heavy metals, namely Zn, Cu, Pb, Ni, As and Mo, had values of less than 1 and exhibited no non-carcinogenic effects. Among the two other heavy metals, Cr (VI) and Mn, values were higher than 1 and demonstrated non-carcinogenic effects. As Ni and Cr (VI) are considered carcinogenic heavy metals and their assessment results exceeded the safe level, this implies a potential risk for cancer.</p><p>In addition, Hazard Quotient has been calculated on each age groups, and among children under the age of 11, exposure to heavy metals is relatively higher than elder citizens, above the age of 11, HQ decreases gradually. Monte Carlo Simulation has been used for the probability distribution of Hazard Quotient (HQ), and its result showed that HQ is generally higher in the Ger area. Sensitivity coefficient analysis has resulted Exposure Time (h/d) affects more stronger than other variables.</p><p>This research concludes that heavy metals in PM2.5 pollution have carcinogenic and non-carcinogenic risk effects. Regarding spatial distribution, the Ger area exhibits a higher risk level, and with respect to age groups, children under the age of 11 are more exposed to heavy metals. Furthermore, this study suggests that limiting outdoor exposure to less than 30 min per day may mitigate health risks for individuals.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 2","pages":"615 - 629"},"PeriodicalIF":2.9,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143622177","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":"Indoor air quality during sleep in university dormitories: exploring the impact of various ventilation patterns","authors":"Jiachen Zheng,&nbsp;Hanmo Wang,&nbsp;Xiaojun Zhou","doi":"10.1007/s11869-024-01673-5","DOIUrl":"10.1007/s11869-024-01673-5","url":null,"abstract":"<div><p>The quality of sleep is significantly important for human health. However, the importance of air quality during sleep, particularly, in high-density residential settings, such as dormitories, has been insufficiently addressed. This study aims to assess the coupled effect of ventilation modes and air change rate (ACH) on indoor air quality (IAQ) within sleeping environments in university dormitories and to identify effective ventilation patterns to fill the research gap. To comprehensively examine their combined effects on the sleep environment, several representative dormitories at a northern Chinese university were evaluated during winter. The concentration variation of indoor pollutants in the sleep environment under natural ventilation conditions was monitored, revealing that the indoor air quality significantly deteriorated during sleep. Furthermore, a numerical model was developed to study the effect of different mechanical ventilation patterns on the improvement of sleep microenvironment. The results indicated that the local air supply system with ACH = 2 was identified as providing superior air quality, successfully addressing the limitations of the ceiling air supply system and upper air supply system. We successfully investigated the coupled effects of ventilation mode and ACH on sleep IAQ, which can provide a theoretical basis and guidance for the study of a complete sleep IAQ improvement program. Further studies show that bed curtains can affect the distribution characteristics of indoor pollutants, and the design of ventilation system should focus on the influence of bed curtains on air flow organization in future research.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 3","pages":"727 - 742"},"PeriodicalIF":2.9,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143786533","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":"Air quality and health risk assessment during Middle Eastern dust storms: a study of particulate matter","authors":"Rahma Al Nadhairi,&nbsp;Mohammed Al Kalbani,&nbsp;Suleiman Al Khazami,&nbsp;Mustafa Al Hashmi,&nbsp;Shamia Al Zadai,&nbsp;Yousef Al-Rumhi,&nbsp;Khalifa M. Al-Kindi","doi":"10.1007/s11869-024-01662-8","DOIUrl":"10.1007/s11869-024-01662-8","url":null,"abstract":"<div><p>This study evaluates the concentration levels of PM_2.5 and PM₁₀ associated with a series of dust storm events in the Middle East during May 2022 (1–6 May, 15–17 May, and 24–27 May). A comprehensive dataset, including ERA5 reanalysis, ground air quality datasets, HYSPLIT trajectory model, and weather station observations, was utilized to identify the dynamic processes driving these dust storms. The findings reveal that the dust storms were triggered by a blocking ridge over Saudi Arabia separated by two deep troughs between north Africa and western Iran associated with a cut off low from the mid-latitudes fueled by tropical atmospheric rivers flow from Africa which enhanced unstable weather conditions over northern Arabian Peninsula. Particulate Matter (PM) concentration levels were evaluated at three Omani cities: Muscat in the north, Sur at the eastern tip, and Salalah in the south. The results indicated that dust storms affected PM₁₀ levels in all three cities, with a significant increase in PM_2.5 levels (25–80 µg m^-3) in Salalah. By using the HYSPLIT trajectory model, the study identified dust emission pathways originating from Iraq and the eastern Arabian Peninsula, propagating southward. Additionally, global satellite-gridded PM_2.5 estimates were used to analyze PM_2.5 concentration trends in Muscat, Sur, Duqm, and Salalah from 1998 to 2021, showing an upward trend. Annual PM_2.5 satellite concentrations of the year 2019 compared with and without dust and salt inclusions, indicating that mineral dusts are the primary source air pollution. Based on the satellite trend datasets of PM_2.5, the results indicate a significant upward increase trend in the Middle East. According to the satellite trend datasets of PM_2.5, and by using Mann-Kendall test and Thiel-Sen Salalah and Duqm have a significant upward trend compared to Muscat and Sur. Furthermore, Salalah and Duqm are found to have higher asthma rates than Muscat, due to the natural dust shield created by mountain ranges in northern Sultanate. The study concludes that PM_2.5 and PM₁₀ concentrations are significantly influenced by atmospheric conditions, topography of the area, and transport routes.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 2","pages":"587 - 603"},"PeriodicalIF":2.9,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11869-024-01662-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143622017","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":"Assessing the impact of intense urbanization, ambient air pollution and temperature on hospital visits for respiratory diseases in Rwanda","authors":"Abdou Safari Kagabo,&nbsp;Bonfils Safari,&nbsp;Yao Télesphore Brou,&nbsp;Jimmy Gasore,&nbsp;Bethwel Kipkoech Mutai","doi":"10.1007/s11869-024-01672-6","DOIUrl":"10.1007/s11869-024-01672-6","url":null,"abstract":"&lt;div&gt;&lt;p&gt;Respiratory diseases represent a significant global health burden, contributing to high rates of death and disability. This study aims to investigate the interactive effects of temperature and ambient air pollution with a focus on differences in urbanization levels on hospital visits for Chronic obstructive pulmonary disease (COPD) and Acute Respiratory Infections (ARIs) over Rwanda. The sector territories were used and categorized into municipalities and agglomerations. Descriptive statistical analysis was performed to summarize and explore the data characteristics while principal components multivariate analysis was applied to generate urban, temperature and air quality indexes. The correlations between indexes and health parameters were examined using Spearman’s (&lt;span&gt;(:{uprho:})&lt;/span&gt;) and Kendall’s (&lt;span&gt;(:{uptau:})&lt;/span&gt;) rank correlations. The results indicate that municipalities exhibited higher PM&lt;sub&gt;2.5&lt;/sub&gt; (39.26 ± 13.22 µg/m³) and NO&lt;sub&gt;2&lt;/sub&gt; (21.20 ± 4.89 µg/m³) levels compared to agglomerations (34.08 ± 11.38 µg/m³ for PM&lt;sub&gt;2.5&lt;/sub&gt;, and 19.10 ± 5.14 µg/m³ for NO&lt;sub&gt;2&lt;/sub&gt;). These levels were associated with incidence rates for COPD (0.173 ± 0.046 and 0.170 ± 0.037 for municipalities and agglomerations, respectively) and ARIs (0.056 ± 0.003 and 0.046 ± 0.004 for municipalities and agglomerations, respectively). All observed correlations were positive (&lt;span&gt;(:ple:0.05)&lt;/span&gt;). For all sectors, the strongest correlations were between respiratory disease incidences and air quality index (&lt;span&gt;(:{uprho:})&lt;/span&gt; = 0.776; &lt;span&gt;(:{uptau:})&lt;/span&gt; = 0.584 for COPD incidences, and &lt;span&gt;(:{uprho:})&lt;/span&gt; = 0.672; &lt;span&gt;(:{uptau:})&lt;/span&gt; = 0.494 for ARIs incidences). COPD incidences showed the strongest correlation with temperature index in agglomerations (&lt;span&gt;(:{uprho:})&lt;/span&gt; = 0.649; &lt;span&gt;(:{uptau:})&lt;/span&gt; = 0.469) while strong correlation coefficients of (&lt;span&gt;(:{uprho:})&lt;/span&gt; = 0.702; &lt;span&gt;(:{uptau:})&lt;/span&gt; = 0.532) and (&lt;span&gt;(:{uprho:})&lt;/span&gt; = 0.684; &lt;span&gt;(:{uptau:})&lt;/span&gt; = 0.512) were observed for COPD incidences and ARIs incidences respectively with air quality index in municipalities. On the other hand, significant positive correlations were observed between urban index and ARIs in all sectors (&lt;span&gt;(:{uprho:})&lt;/span&gt; = 0.518; &lt;span&gt;(:{uptau:})&lt;/span&gt; = 0.366) and in municipalities (&lt;span&gt;(:{uprho:})&lt;/span&gt; = 0.513; &lt;span&gt;(:{uptau:})&lt;/span&gt; = 0.368) but the prevalence of respiratory diseases was more closely linked to air quality rather than simply the population size or density in municipalities. The findings of this study are valuable for assessing environmental challenges related to land use and for developing long-term strategies to mitigate its impacts on respiratory health. Future studies are required to explore the connection between additional urban factors, various pollutants, and respiratory health outcomes to provide a more detailed understanding of these correlations.&lt;/p&gt;&lt;/di","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 3","pages":"707 - 726"},"PeriodicalIF":2.9,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143786558","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":"Assessment of COVID-19 lockdown measures on air quality over the Sichuan Basin, China: insights from multiple observations","authors":"Bingzheng Ben,&nbsp;Xianyu Yang,&nbsp;Ping Shao,&nbsp;Wenlei Wang,&nbsp;Qin Hu,&nbsp;Yan Xie","doi":"10.1007/s11869-024-01671-7","DOIUrl":"10.1007/s11869-024-01671-7","url":null,"abstract":"<div><p>The COVID-19 lockdown measures have resulted in significant changes in human activities and thereby providing a natural experiment for understanding the underlying mechanism of air pollutants’ response to emission changes. Here, we use surface observations, MODIS AOD, and Tropospheric Monitoring Instrument (TROPOMI) NO₂ columns to investigate the spatial and temporal changes of criteria air pollutants during various stages of lockdown across the Sichuan Basin (SCB) situated in southwestern China. Basin-wide declines of CO (-13.8%), NO₂ (-50.9%), and SO₂ (-16.1%) concentrations were observed during the lockdown period compared with the pre-lockdown period, which is mainly attributed to substantial reductions in anthropogenic emissions associated with traffic and industrial emissions. In spite of the significant reductions in anthropogenic emissions, elevated O₃ levels (up to 50.2%) and PM_2.5 exceedances were widely depicted due to unfavorable meteorological conditions. TROPOMI NO₂ columns show good agreement with reductions reported in the MEIC emission inventory, which further confirm the critical impacts of the COVID-19 lockdown on anthropogenic emissions. This work clearly shows the magnitude of changes and varied patterns of air pollutants in response to reduced anthropogenic emissions, demonstrating the crucial role of meteorological fields in causing air pollution even under considerable emission reductions in the SCB.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 3","pages":"691 - 705"},"PeriodicalIF":2.9,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143786635","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":"Spatiotemporal estimates and health risks of atmospheric trace metals across Hong Kong during 2016–2020","authors":"Wenwen Sun,&nbsp;Shenghua Zhang,&nbsp;Dongmei Cai,&nbsp;Liqiang Wang,&nbsp;Ji Jin,&nbsp;Rui Li,&nbsp;Zhenghu Chen","doi":"10.1007/s11869-024-01663-7","DOIUrl":"10.1007/s11869-024-01663-7","url":null,"abstract":"<div><p>Trace metals often pose great threats to human health. Although many previous studies have estimated the site-level or national trace metal concentrations in particles, the high-resolution trace metal exposures and health risks at the intra-urban scale still remained poorly understood. To mitigate the hazardous effect of airborne toxic metals, the multi-stage model was firstly developed to construct the long-term and high-resolution trace metal exposures across Hong Kong and to assess the potential health risks associated with these trace metals. The results suggested that the 10-fold cross-validation (CV) R² values of As, Cd, Cr, Fe, Pb, and Se reached 0.65, 0.63, 0.55, 0.64, 0.73, and 0.56, respectively. The higher R² value indicated the robustness of the ensemble model for trace metal prediction. At the spatial scale, As, Cd, Cr, Pb, and Se generally displayed the higher concentrations in the northern part of Hong Kong and gradually decreased from north to south. It was assumed that many energy-intensive industries were located on the northern part of Hong Kong. Moreover, some trace metals derived from industrial emission or power plants could be transported from Mainland China. However, the Fe level showed the higher levels in both of northern part of Hong Kong and Kowloon area. It was assumed that the higher Fe level was enriched in the vehicle brake pads. In addition, the simulated trace metals including As, Cd, Cr, Fe, Pb, and Se in PM₁₀ in Hong Kong displayed significant annual variations. As, Cd, Cr, Fe, Pb, and Se levels increased from 2.84 ± 0.17, 0.59 ± 0.04, 2.44 ± 0.13, 507 ± 39, 15.6 ± 1.11, and 0.45 ± 0.02 ng/m³ to 2.94 ± 0.17, 0.62 ± 0.04, 2.49 ± 0.14, 524 ± 41, 16.4 ± 1.10, and 0.47 ± 0.02 ng/m³ during 2016–2017, respectively. However, they suffered from gradual decreases to 2.35 ± 0.20, 0.53 ± 0.04, 2.22 ± 0.15, 474 ± 42, 13.5 ± 1.20, 0.42 ± 0.02 ng/m³ during 2017–2020, respectively. Our result could facilitate the local environmental management to decrease health risk.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 2","pages":"605 - 614"},"PeriodicalIF":2.9,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143622192","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":"Citizens’ perceptions regarding air pollution","authors":"Ljiljana Milošević,&nbsp;Dunja Prokić,&nbsp;Biljana Lončar,&nbsp;Lato Pezo,&nbsp;Nataša Stojić,&nbsp;Biljana Panin,&nbsp;Snežana Štrbac,&nbsp;Mira Pucarević","doi":"10.1007/s11869-024-01665-5","DOIUrl":"10.1007/s11869-024-01665-5","url":null,"abstract":"<div><p>The efforts toward reducing air pollution are influenced by a multifaceted interplay of sociological, psychological, demographic, and economic factors. Mathematical models have been developed to bridge the gap between theoretical concepts and practical actions, providing insights into consumer behaviour (BEH) within specific contexts. One such model, Ajzen’s Theory of Planned Behavior (TPB), stands as a valuable conceptual framework for understanding attitudes (ATT), subjective norms (SN), and personal behaviour control (PCB). <b>Motivation</b>: Data were collected via Google Forms to capture insights into the perceived importance of air quality monitoring and the public’s awareness of pollution issues. These data are expected to contribute to a deeper understanding of public perceptions regarding air pollution and the necessity of advanced monitoring technologies in urban environments. <b>Hypothesis (H)</b>: H1 suggests that reducing air pollution involves various contributing factors. Subsequent H proposes that the overall ATT H2, SN H3, and PBC H4 significantly influence intention (INT) to reduce air pollution. Furthermore, H5 concerning SN and H6 associated with PBC aims to elucidate their impacts on fostering a sense of being a responsible provider (GPI). Hypothesis H7 indicates the influence of GPI on INT to reduce air pollution. The final two hypotheses H8 delve into the impact of INT on air pollution reduction on BEH, and H9 explores the influence of GPI on BEH. <b>Method</b>: Statistical software IBM SPSS was utilized to analyze the questionnaire outcomes. Additionally, IBM Amos statistical software was employed for Structural Equation Modeling (SEM). <b>Results</b>: INT emerged as the most influential factor driving actual BEH, while the sense of responsibility as a caretaker also significantly influenced participants’ actions concerning air pollution. <b>Conclusion</b>: The model is positioned to inform policy-makers and stakeholders by identifying key points, in this case, ATT and BEH, can be targeted to effectively influence public toward air quality management.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 3","pages":"657 - 673"},"PeriodicalIF":2.9,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143786553","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":"The impact of industrial air pollution in areas not specifically designated for industrial areas:","authors":"Haryono Setiyo Huboyo,&nbsp;Budi Prasetyo Samadikun,&nbsp;Widi Astuti,&nbsp;Nurul Khasanah,&nbsp;Iwan Ardiyanta,&nbsp;Adam Rus Nugroho","doi":"10.1007/s11869-024-01668-2","DOIUrl":"10.1007/s11869-024-01668-2","url":null,"abstract":"<div><p>Concentrated industrial areas have the potential to contribute to ambient air pollution in the surrounding area. This research aims to analyze the impact of industrial activities on total particle concentration and element content with diurnal variations in the measurement time. The study location was conducted in an industrial area in Tempuran District, Magelang Regency, Indonesia. X-ray Fluorescence (XRF) devices were used to analyze element content in collected particulate both in emission and ambient measurements. Based on the emission measurement, for several industries, emission standards were met, but the flow rate of emissions in identified stacks was quite low so there was not enough dilution in the atmosphere. TSP concentrations showed concentrations 2 times higher at site closest to industrial area compared to farther site during the day and at night. However, the percentage of major elements to TSP during the day compared to the night at three sites in general was comparable. Based on the EF analysis, the components classified as slightly enriched are P, Fe, Na, and Cu. The S component is enriched, while the Cl component is very enriched. Based on the results of the dispersion model, the distribution of emissions is more concentrated at nighttime than during the daytime. The number of patients with acute respiratory infection in affected areas is 5–12 times higher than that of unaffected areas. This indicates the accumulative impact of air pollution even though the ambient air quality standards for particulate parameters are met.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 3","pages":"675 - 689"},"PeriodicalIF":2.9,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143786530","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":"Characterization and sources of indoor and outdoor microplastics and PM2.5: Possible relationships","authors":"Han Zheng,&nbsp;Kaixing Yao,&nbsp;Huibin Guo","doi":"10.1007/s11869-024-01667-3","DOIUrl":"10.1007/s11869-024-01667-3","url":null,"abstract":"<div><p>Microplastics (MPs) were caused adverse impacts on the marine and terrestrial environments. MPs have been detected in atmospheric deposition, in both large cities and remote areas, raising concern for human health due to their potential intake. In this work, we report atmospheric deposition of MPs indoors and outdoors and explore the characteristics, and sources of atmospheric MPs. The characteristics of MPs in samples were detected via laser direct infrared (LDIR) spectroscopy and intelligent ultra-depth field microscopy. The potential sources of MPs were determined by backward trajectory analysis. All samples contained MPs, and the average concentrations were 241 ± 17 MPs/m²/d (outdoor) and 160 ± 7 MPs/m²/d (indoor). The observed MPs exhibited various colours, with black MPs accounting for the overwhelming majority (92%). The proportion of MPs with diameters smaller than 20 μm – 80 μm was 70%. Pellets were the most abundant shape of all MPs (60.4% ± 11%), followed by fragments (22.5% ± 3%) and fibres (17.1% ± 15%). In all samples, 7 polymers were detected, cellulose (average proportion: 66.1%) and polyamide (PA; average proportion: 12.5%) occupied the highest proportion. Follow by Fluorocarbon Rubber (FKM) 10.7%, Polyvinylchloride (PVC 8.4%), Polyethylene Terephthalate (PET 1.4%), Polyurethane (PU 0.5%), Polystyrene (PS 0.5%). Backward trajectory analysis revealed the influence of wind on MPs and PM_2.5 transport, and potential source contribution analysis demonstrated the potential sources of MPs. The results of this study indicated that PA accounted for the highest proportion of MPs (average proportion: 47.1%), followed by PVC 43.5%, PET 4.7%, PU 2.4%, PS 2.4%. Pellets were the most abundant of the three shapes. The influence of the airflow trajectory on MPs and PM_2.5 transport is remarkable, and the concentrations of these two pollutants were significantly correlated (r = 0.322, <i>p</i> &lt; 0.01). Therefore, it is necessary to invest more effort in exploring the sources and transmission of MPs and developing routine MPs detection programs.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 3","pages":"645 - 656"},"PeriodicalIF":2.9,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143786484","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}