Air Quality Atmosphere and Health最新文献_第7页

Assessment of PM2.5 deposition in the human respiratory tract from a hyperlocal dataset in Bhubaneshwar, India 来自印度布巴内什瓦尔超局部数据集的PM2.5在人呼吸道中的沉积评估

IF 2.9 4区环境科学与生态学

Air Quality Atmosphere and Health Pub Date : 2025-05-06 DOI: 10.1007/s11869-025-01743-2

Sneha Mahalingam, Babu Priyadharshini, A. Asutosh, Monalin Mishra

{"title":"Assessment of PM2.5 deposition in the human respiratory tract from a hyperlocal dataset in Bhubaneshwar, India","authors":"Sneha Mahalingam, Babu Priyadharshini, A. Asutosh, Monalin Mishra","doi":"10.1007/s11869-025-01743-2","DOIUrl":"10.1007/s11869-025-01743-2","url":null,"abstract":"<div>Air pollution is a leading environmental health risk in India, contributing to disease burden and mortality. Effective mitigation measures require high-resolution monitoring. This study leverages hyperlocal air quality data from 21 low-cost sensor (LCS) stations in Bhubaneswar (March 2023–February 2024) to assess spatiotemporal variations in PM2.5. Additionally, the Multiple-Path Particle Dosimetry (MPPD) model was used to quantify wintertime PM2.5 deposition in the human respiratory tract across seven age groups. PM2.5 exhibited strong seasonal variation, peaking in winter and remaining elevated in post-monsoon. Persistent high-pollution regions, including Rasulgarh, Dumduma, Nandan Vihar, Patarapada experienced consistently high concentrations due to vehicular emissions, industrial activities, and biomass burning, emerging as persistent high-pollution regions necessitating year-round mitigation. Seasonal pollution hotspots - Kesora, Niladri Vihar, Sailashree Vihar experienced episodic PM2.5 spikes exceeding 20% of seasonal means, requiring targeted interventions. Dosimetry analysis revealed age-specific deposition patterns: infants and toddlers retained the highest PM2.5 in the head and tracheobronchial regions, increasing their risk of upper respiratory conditions, while children had the highest pulmonary deposition, posing long-term respiratory risks. Adults (> 49 years) exhibited lower pulmonary deposition but remained vulnerable to cumulative exposure effects. Lobar analysis showed predominant PM2.5 accumulation in the lower lung lobes across all age groups, with infants experiencing the highest deposition due to smaller airway diameters. These findings highlight the pressing need for targeted air pollution mitigation strategies in high-risk regions and among vulnerable populations to minimize long-term health impacts in the city.</div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 7","pages":"1931 - 1944"},"PeriodicalIF":2.9,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144814486","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}

引用次数: 0

Assessing human health risks: impact of variable air quality index on asymmetric spirometry flow 评估人类健康风险：可变空气质量指数对非对称肺活量计流量的影响

IF 2.9 4区环境科学与生态学

Air Quality Atmosphere and Health Pub Date : 2025-05-05 DOI: 10.1007/s11869-025-01742-3

Digamber Singh, Abdullah Y. Usmani

{"title":"Assessing human health risks: impact of variable air quality index on asymmetric spirometry flow","authors":"Digamber Singh, Abdullah Y. Usmani","doi":"10.1007/s11869-025-01742-3","DOIUrl":"10.1007/s11869-025-01742-3","url":null,"abstract":"<div>The escalation of occupational and environmental pollutants poses a significant threat to human health, particularly exacerbating chronic respiratory diseases (CRD). Globally, CRD account for 4.0 million reported deaths (Momtazmanesh et al. EClinicalMedicine 59, 2023). This study investigates the repercussions of exposure to unfavourable Air Quality Index (AQI) levels on respiratory health, focusing on asymmetric spirometry flow during natural inspiration at a flow rate of Qin = 10 l/min. Here, employing digital imaging techniques, we developed an in-silico human respiratory tract model, encompassing up to the 7th bifurcation of a healthy male individual. The results reveal that the dynamics of inspired airflow and particles, particularly in turbulent regions, influence particle deposition in the airways. Thus, the upper airways and bifurcations region have higher deposition efficiency of fine particles ~ 2.5 and 10 μm, consequently creating hotspots for respiratory illnesses. Moreover, to quantify the internal flow characteristics, we utilised a set turbulence model, and the trajectory of fine particles was computed by discrete phase model (DPM). The localised quantitative quantification of particle physics focuses on deposition efficiency at different time instants, t = 1.5 s, 2.1s and 2.5 s, complemented by insights into internal flow features, particles are depicted and quantified through regional deposition efficiency, while flow physics is presented by, surface streamlines, turbulent kinetic energy, turbulence intensity and Q-criterion. These findings have a significant implication in effective diagnosis and management of chronic respiratory diseases (CRD), providing valuable insights into the intricate interplay between air quality, airflow dynamics, and respiratory health.</div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 6","pages":"1845 - 1859"},"PeriodicalIF":2.9,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145162447","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}

引用次数: 0

Exposure patterns of PM2.5 and CO concentrations in residential and commercial buildings: factors influencing indoor air quality 住宅和商业建筑中PM2.5和CO浓度暴露模式：影响室内空气质量的因素

IF 2.9 4区环境科学与生态学

Air Quality Atmosphere and Health Pub Date : 2025-05-05 DOI: 10.1007/s11869-025-01740-5

Deborah Nibagwire, Godson R. E. E. Ana, Egide Kalisa, Gratien Twagirayezu, Abdou Safari Kagabo, Jacques Nsengiyumva

{"title":"Exposure patterns of PM2.5 and CO concentrations in residential and commercial buildings: factors influencing indoor air quality","authors":"Deborah Nibagwire, Godson R. E. E. Ana, Egide Kalisa, Gratien Twagirayezu, Abdou Safari Kagabo, Jacques Nsengiyumva","doi":"10.1007/s11869-025-01740-5","DOIUrl":"10.1007/s11869-025-01740-5","url":null,"abstract":"<div>Indoor air pollution is a growing concern as people spend most of their time indoors. However, information on indoor air quality and factors influencing indoor exposures remains limited, particularly in rapidly urbanizing cities like Kigali, Rwanda. To address this gap, this study examined the distribution of carbon monoxide (CO) levels and fine particulate matter (PM2.5) in residential and commercial buildings. Indoor and outdoor PM2.5 and CO concentrations. Along with meteorological variables such as relative humidity (RH) and temperature, were measured every two minutes over 24-h period during both dry and wet seasons. PM2.5 measurements were conducted from March to August 2024 in residential and commercial buildings, CO measurements were conducted from June to August 2024 in 88 households across urban, suburban, and industrial zones. The study found significantly higher PM2.5 levels during the dry season, with indoor levels averaging 40.2 ± 19.3 μg/m3 and outdoor levels 41.3 ± 17.5 μg/m3, compared to the wet season, where indoor levels were 32.8 ± 82.9 μg/m3 and outdoor levels 35 ± 15.8 μg/m3 outdoors. CO levels were consistently higher outdoors (691.3 ± 181.8 μg/m3) than indoors (478.4 ± 128.2 μg/m3). Indoor/outdoor (I/O) ratios for PM2.5 were consistently below 1, indicating a strong influence of outdoor sources on indoor PM2.5 levels. While, location type showed a slight correlation with PM2.5 concentrations, building features such as age, window count, and ventilation exhibited varying but insignificant impacts. These findings highlight the critical role of outdoor pollution and meteorological factors in determining indoor air quality in Kigali and underscores the need for regulating outdoor pollution sources and indoor environments.</div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 6","pages":"1827 - 1843"},"PeriodicalIF":2.9,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145162070","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}

引用次数: 0

Deep learning-based pm forecasting and post-infant mortality assessment in urban areas: a case study in Bangladesh 城市地区基于深度学习的pm预测和婴儿后死亡率评估：孟加拉国案例研究

IF 2.9 4区环境科学与生态学

Air Quality Atmosphere and Health Pub Date : 2025-05-02 DOI: 10.1007/s11869-025-01739-y

Rashik Islam, Yunsoo Choi, Shihab Ahmad Shahriar, Seyedeh Reyhaneh Shams, Deveshwar Singh

{"title":"Deep learning-based pm forecasting and post-infant mortality assessment in urban areas: a case study in Bangladesh","authors":"Rashik Islam, Yunsoo Choi, Shihab Ahmad Shahriar, Seyedeh Reyhaneh Shams, Deveshwar Singh","doi":"10.1007/s11869-025-01739-y","DOIUrl":"10.1007/s11869-025-01739-y","url":null,"abstract":"<div>This study investigated the application of advanced deep learning models for forecasting particulate matter (PM) pollution and assessing its associated health impacts in Bangladesh. Specifically, the Temporal Fusion Transformer (TFT), Deep Autoregressive Recurrent Neural Network (DeepAR), Generative Adversarial Network (GAN), and 1D Convolutional Neural Network (1D-CNN) were employed to forecast daily PM concentrations for the next seven days across four urban areas (Chattogram, Rajshahi, Dhaka, and Sylhet) during 2013–2018. The study further quantified post-infant mortality risks attributable to PM10 exposure in these regions. Model performance was evaluated using Mean Absolute Error (MAE), Root Mean Square Error (RMSE), Coefficient of Determination (R²), and Index of Agreement (IOA). TFT demonstrated superior capability, achieving mean RMSEs of 21.23 µg/m3 (PM2.5) and 34.90 µg/m3 (PM10), outperforming DeepAR by 39% and 40.6%, respectively, and surpassing 1D-CNN and GAN. The attention mechanism in TFT revealed distinct temporal dynamics, with PM2.5 prediction dominated by temperature and relative humidity indicating inversion-driven accumulation, while PM10 forecasting emphasized wind speed, rainfall, and relative humidity aligning with Bangladesh’s monsoon-driven dispersion and dust resuspension. Health risk analysis, conducted using the World Health Organization’s (WHO) Air Quality Health Impact Assessment Tool (AirQ+), revealed significant post-infant mortality impacts, with the highest attributable mortality per 1000 population observed in Dhaka (42.95%) and Sylhet (24.64%). The strong agreement between observed and forecasted health outcomes validated the reliability of the TFT model.</div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 6","pages":"1803 - 1825"},"PeriodicalIF":2.9,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145161151","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}

引用次数: 0

Black carbon characterization and source apportionment over a semi-tourist site in the central Himalayan Region, India 在印度喜马拉雅中部地区半旅游景点的黑碳表征和来源分配

IF 2.9 4区环境科学与生态学

Air Quality Atmosphere and Health Pub Date : 2025-04-30 DOI: 10.1007/s11869-025-01727-2

Jagdish Chandra Kuniyal, Archana Bawari, Sheetal Chaudhary, Arushi Sharma, Bimal Pande

{"title":"Black carbon characterization and source apportionment over a semi-tourist site in the central Himalayan Region, India","authors":"Jagdish Chandra Kuniyal, Archana Bawari, Sheetal Chaudhary, Arushi Sharma, Bimal Pande","doi":"10.1007/s11869-025-01727-2","DOIUrl":"10.1007/s11869-025-01727-2","url":null,"abstract":"<div>Black carbon (BC), released due to partial burning of fuel, has serious negative impacts on climate and human health. We conducted continuous BC measurements over 5 years (January 2019–December 2023) at Katarmal (29.38˚N, 79.37˚E, 1225 m amsl) in the Central Himalayan Region. We examined BC mass concentration, temporal fluctuations, meteorological alterations, source apportionment, and the impact of COVID-19 period. BC concentrations on daily basis ranged from 0.01 to 13.7 μg m−3, with an annual concentration of 1.6 ± 1.3 μg m−3. The highest BC levels were in April 2022 (5.9 ± 2.5 µg m−3), March 2022 (4.7 ± 1.8 μg m−3) and February 2023 (4.3 ± 1.4 μg m−3). Planetary boundary layer height (PBLH) was shallow in winter with higher BC concentrations, and higher in the monsoon (~ 1154 m), with lower BC levels (~ 0.11 μg m−3). Elevated BC in the pre-monsoon persisted despite of high PBLH (~ 1905 m). Meteorological parameters like wind speed exhibited a positive correlation (r = 0.71), while relative humidity, air temperature, and total rainfall were negatively correlated with BC as r = -0.82, -0.60, and -0.79, respectively. Over a period of five years, fossil fuel sources (BCff) accounted for 59.4% of the total BC, while biomass burning (BCbb) contributed 40.6%, indicating a higher biomass-burning impact compared to other Indian Himalayan areas. During the COVID-19 lockdown period, a significant decrease (~ 16%) was observed in BC due to reduced anthropogenic activities, mainly vehicular emissions. This was supported by 10% increase in the absorption Ångström exponent. Despite reduced fossil fuel emissions during the lockdown, 67.8% of BC at the site still originated from fossil fuel combustion, which is likely due to long-range transported dust of BC from outside the region.</div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 6","pages":"1781 - 1802"},"PeriodicalIF":2.9,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145171457","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}

引用次数: 0

Investigating the impact of climate change on the mortality rates of COPD with the generalized estimating equation 用广义估计方程研究气候变化对COPD死亡率的影响

IF 2.9 4区环境科学与生态学

Air Quality Atmosphere and Health Pub Date : 2025-04-29 DOI: 10.1007/s11869-025-01734-3

Özlem Akay

{"title":"Investigating the impact of climate change on the mortality rates of COPD with the generalized estimating equation","authors":"Özlem Akay","doi":"10.1007/s11869-025-01734-3","DOIUrl":"10.1007/s11869-025-01734-3","url":null,"abstract":"<div>Chronic Obstructive Pulmonary Disease (COPD) is a major global public health concern, with mortality rates affected by various factors, including climate change. Rising global temperatures and increased temperature variability due to climate change present heightened risks for COPD patients, worsening morbidity and mortality. This study investigates the effect of climate change on COPD mortality rates using Generalized Estimating Equations (GEE), which account for repeated measures over time and incorporation covariates. The analysis uses longitudinal data from 2009, 2014, and 2019, covering six world regions: North America and the Caribbean, Central and South America, Asia, Oceania, Europe, and Africa. Independent variables include regional classification, temperature levels, and greenhouse gas emissions. The results indicate that COPD mortality rates are significantly associated with greenhouse gas levels and specific regions, particularly Oceania and Europe. However, the temperature variable does not considerably influence COPD mortality statistically. These findings underscore the need for region-specific strategies to mitigate health risks related to climate change.</div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 6","pages":"1771 - 1780"},"PeriodicalIF":2.9,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145171283","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}

引用次数: 0

Grilling and air pollution: how charcoal quality affects emissions 烧烤和空气污染：木炭质量如何影响排放

IF 2.9 4区环境科学与生态学

Air Quality Atmosphere and Health Pub Date : 2025-04-25 DOI: 10.1007/s11869-025-01737-0

Alessio Mencarelli, Rosa Greco, Stefano Grigolato

{"title":"Grilling and air pollution: how charcoal quality affects emissions","authors":"Alessio Mencarelli, Rosa Greco, Stefano Grigolato","doi":"10.1007/s11869-025-01737-0","DOIUrl":"10.1007/s11869-025-01737-0","url":null,"abstract":"<div>Cooking with charcoal is widely popular worldwide. Several types of lump charcoal and charcoal briquettes are available on the market, presenting distinct characteristics based on raw materials and production methods. Charcoal quality can significantly impact combustion properties and pollutant emissions. This study aims to: (1) assess the qualitative characteristics of commercial lump charcoal and charcoal briquettes, (2) evaluate the emission factors (EFs) associated with their combustion, and (3) investigate how different characteristics of charcoal affect air pollutant emissions. Significant differences in quality were observed among the charcoal samples analyzed. Lump charcoal generally exhibited superior characteristics, including a higher carbon content (> 75% d.b.), fixed carbon (> 75% d.b.), heating value (> 29 MJ/kg), and fuel ratio (> 4.5). In contrast, charcoal briquettes showed higher levels of volatile matter (> 20% d.b.), ash (> 15% d.b.), and moisture content (> 6% w.b.). Furthermore, charcoal briquettes exhibited higher EFs for carbon monoxide (CO) (> 250 g/kg), volatile organic compounds (VOC) (> 1.5 g/kg), and total suspended particulates (TSP) (> 7.5 g/kg) than lump charcoal. Principal component analysis (PCA) demonstrated a strong influence of qualitative characteristics on emission factors. Volatile matter, ash yield, moisture, and nitrogen content were positively correlated with higher emissions, while carbon content, fixed carbon, and fuel ratio were negatively correlated. As lump charcoal aligns more closely with the latter parameters, it releases lower emissions than briquettes. Improving charcoal production techniques and reinforcing international standards are crucial to ensure product quality, reduce emissions, and minimize environmental and health risks.</div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 6","pages":"1757 - 1770"},"PeriodicalIF":2.9,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11869-025-01737-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145169552","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}

引用次数: 0

Chemical characteristics and source apportionment of fine particulate matters at a typical suburban site in Nanjing, China 南京典型郊区细颗粒物化学特征及来源解析

IF 2.9 4区环境科学与生态学

Air Quality Atmosphere and Health Pub Date : 2025-04-25 DOI: 10.1007/s11869-025-01730-7

Ziqian Wei, Ruoyuan Lei, Meijuan Chen, Yunjiang Zhang, Xiangpeng Huang, Xinlei Ge

{"title":"Chemical characteristics and source apportionment of fine particulate matters at a typical suburban site in Nanjing, China","authors":"Ziqian Wei, Ruoyuan Lei, Meijuan Chen, Yunjiang Zhang, Xiangpeng Huang, Xinlei Ge","doi":"10.1007/s11869-025-01730-7","DOIUrl":"10.1007/s11869-025-01730-7","url":null,"abstract":"<div>Regional atmospheric pollution events still occur frequently in China despite the decline in PM2.5 concentrations in recent years. In order to investigate the chemical composition and pollution characteristics of atmospheric fine particulate matters measured by off-line soot particle aerosol mass spectrometer in Nanjing during the cold seasons, this study presented a comprehensive analysis of PM2.5 diurnal samples from October 10 to December 31 in the year 2020, which collected at a typical suburban site in Nanjing. Results showed that water-soluble inorganic ions dominated PM2.5 mass, with NH4+ primarily forming NH4NO3, (NH4)2SO4 and NH4Cl through secondary reactions. Excess NO3- was found in the form of Ca(NO3)2 and Mg(NO3)2. Emissions from vehicle exhaust significantly contributed to the inorganic component, and both organic and inorganic analyses indicated that biomass burning was a more significant primary source during the night. In terms of water-soluble organic components (WSOM), the average O/C, H/C, N/C, and organic matter to organic carbon ratio (OM/OC) were 0.48, 1.38, 0.03, and 1.79, respectively. Four OA factors were identified in WSOM: hydrocarbon-related OA from traffic emissions (HOA), mixed primary OA (MPOA), low oxidized OA (LO-OOA), and more oxidized OA (MO-OOA). Their daytime contributions were 10.6%, 25.6%, 35.5%, and 28.8%, while nighttime contributions were 9.7%, 33.5%, 32.9%, and 23.9%, respectively. Potential source contribution function (PSCF) analysis showed that Yangtze River Delta, North China, and Mongolia were major potential sources of PM2.5, highlighting the importance of coordinated measures to reduce PM2.5 in Nanjing.</div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 6","pages":"1745 - 1756"},"PeriodicalIF":2.9,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145169553","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}

引用次数: 0

Formaldehyde-to-nitrogen dioxide ratio (FNR) analysis for ozone sensitivity: a case study over bangladesh using OMI data 臭氧敏感性的甲醛与二氧化氮比率分析：利用OMI数据对孟加拉国进行的个案研究

IF 2.9 4区环境科学与生态学

Air Quality Atmosphere and Health Pub Date : 2025-04-24 DOI: 10.1007/s11869-025-01732-5

Md Masudur Rahman, Roman Shults, Md. Feroz Ali, Md Galib Hasan, Wang Shuo

{"title":"Formaldehyde-to-nitrogen dioxide ratio (FNR) analysis for ozone sensitivity: a case study over bangladesh using OMI data","authors":"Md Masudur Rahman, Roman Shults, Md. Feroz Ali, Md Galib Hasan, Wang Shuo","doi":"10.1007/s11869-025-01732-5","DOIUrl":"10.1007/s11869-025-01732-5","url":null,"abstract":"<div>The ratio of space-based column HCHO to NO₂ (FNR) is widely used to assess the chemical sensitivity of near-surface ozone (O₃) formation in NOₓ-limited, VOC-limited, or mixed NOₓ-VOC-limited regimes. This study represents the first attempt to analyse FNR over Bangladesh using OMI (Ozone Monitoring Instrument) data. In the absence of significant emission control measures (ECMs), three natural scenarios were considered as proxies for ECMs: the 2020 Covid-19 lockdown, highly precipitated days (> 20 mm), and weekends. Results show FNR serves as a reliable proxy for O₃ sensitivity. Spatially, FNR values typically range from 0–1 (VOC-limited regime), 1–2 (mixed regime), and > 2 (NOₓ-limited regime). During the lockdown and highly precipitated days, most of Bangladesh exhibited an NOₓ-limited regime (FNR > 2), except Dhaka, which showed a mixed regime during lockdowns. A Pearson correlation analysis shows that FNR is positively correlated with surface temperature and precipitation, with Random Forest predictions strongly matching observed FNR values (r = 0.96). The O₃/NOy ratio analysis further supports the FNR-based ozone sensitivity classification. These findings suggest that ECMs significantly shifted ozone formation to a NOx-limited regime, with FNR being strongly influenced by reductions in NO₂ and increased HCHO production driven by rising surface temperatures.</div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 6","pages":"1879 - 1886"},"PeriodicalIF":2.9,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145169118","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}

引用次数: 0

Atmospheric microplastic dispersion in diverse land-use context: insight from the black sea coastal region in Türkiye 大气微塑料在不同土地利用背景下的分散：来自乌克兰黑海沿岸地区的见解

IF 2.9 4区环境科学与生态学

Air Quality Atmosphere and Health Pub Date : 2025-04-24 DOI: 10.1007/s11869-025-01735-2

Pelin Ertürk Arı, Şeyda Erdoğan, Akif Arı, Okan Ürker, Gökben Başaran Kankılıç, Tamer Çırak, Eftade O. Gaga, Ülkü Nihan Tavşanoğlu

{"title":"Atmospheric microplastic dispersion in diverse land-use context: insight from the black sea coastal region in Türkiye","authors":"Pelin Ertürk Arı, Şeyda Erdoğan, Akif Arı, Okan Ürker, Gökben Başaran Kankılıç, Tamer Çırak, Eftade O. Gaga, Ülkü Nihan Tavşanoğlu","doi":"10.1007/s11869-025-01735-2","DOIUrl":"10.1007/s11869-025-01735-2","url":null,"abstract":"<div>The atmospheric deposition of microplastic particles is a critical pathway for their input into the environment; however, available information remains limited. This study investigates atmospheric microplastics across urban, suburban, and rural areas in the humid/subtropical climate region of Black Sea coastline, specifically Düzce, Türkiye. The highest mean total microplastic deposition fluxes were recorded during the winter season, highlighting the influence of seasonal factors, such as meteorological conditions, on microplastic deposition. Fibers were the dominant type of microplastics (84%), with the primary colors being black, red, blue, and white/transparent with predominantly 0.5–1 mm in size range. During the winter period, characterized by heavy precipitation and peak microplastic depositions rates, dominant air mass trajectories pointed towards Eastern Europe and the Black Sea regions. In contrast, during the summer season, with lower deposition rates and minimal precipitation, the prevailing air trajectories predominantly originated from Northern Europe, Scandinavia, and Russia, moving in northwestern and northeastern directions. While this study provides evidence of microplastic deposition and transport, it is crucial to address significant uncertainties arising from variations in sampling methodologies. Factors such as sampling height, sampler size, sampling duration, and seasonal differences can impact results and complicate comparisons across studies. Therefore, further investigations are necessary to resolve these methodological discrepancies and to gain a more comprehensive understanding of the implications of atmospheric microplastics on human and ecosystem health, particularly from a One Health perspective.</div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 6","pages":"1729 - 1743"},"PeriodicalIF":2.9,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145169104","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}

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