Journal of Atmospheric Chemistry最新文献

Health risk assessment of heavy metal emissions from on-road vehicles in a metropolitan area in southeastern China 中国东南部某大城市道路车辆重金属排放的健康风险评价

IF 3 4区地球科学

Journal of Atmospheric Chemistry Pub Date : 2025-05-07 DOI: 10.1007/s10874-025-09472-7

Qi-Yu Miao, Zhe-Nan Wen, Shui-Ping Wu, Jun Hu, Li-Xiong He, Bing-Qi Jiang, Yi-Jing Liu

{"title":"Health risk assessment of heavy metal emissions from on-road vehicles in a metropolitan area in southeastern China","authors":"Qi-Yu Miao, Zhe-Nan Wen, Shui-Ping Wu, Jun Hu, Li-Xiong He, Bing-Qi Jiang, Yi-Jing Liu","doi":"10.1007/s10874-025-09472-7","DOIUrl":"10.1007/s10874-025-09472-7","url":null,"abstract":"<div>Heavy metals (HMs) in PM2.5 have been extensively studied for their toxicity and carcinogenic risk. In this study, the toxicity and spatial health risks of PM2.5-HMs from on-road vehicles were investigated in the Xiamen-Zhangzhou-Quanzhou (XZQ) metropolitan area in southeast China in 2021. The results show that the emissions of PM2.5 and PM2.5-HMs were 3219.54 and 89.48 t, with non-exhaust emissions contributing 62.1% and 87.6%, respectively. However, there were differences in the contribution of different sources to different HMs. The spatial distribution of PM2.5 was characterized by high levels in the urban centers with high traffic flow and population. The daily PM2.5 concentration could reach up to 6.85 μg/m3 in the area with heavy traffic. Wind speed and direction had a significant effect on the daily PM2.5 concentration, while hourly concentrations were more influenced by variations in vehicle activity. The annual average concentration of Cr(VI) (0.15 ng/m3, estimated as 12% of total Cr) in the hotspot grid was six times the limit (0.025 ng/m3) of China’s air quality standard. Other toxic metals such as As, Cd and Pb were well below their guidelines. The health risk assessment showed that there was no threat of non-carcinogenic risks, but the carcinogenic risks in some urban centers exceeded the safety level of 10–6. More than 90% of the carcinogenic risk came from Cr(VI), which mainly came from brake wear (55.7%) and diesel exhaust (32.5%). This study provides a scientific basis for the development of more effective pollution control strategies and public health policies.</div>","PeriodicalId":611,"journal":{"name":"Journal of Atmospheric Chemistry","volume":"82 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143913912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Variation of the concentrations of the particulate chemical components in Seoul response to the changes of major emission sources in the region: emphasis on ambient heavy metals 首尔颗粒物化学成分浓度变化对区域主要排放源变化的响应：重点关注环境重金属

IF 3 4区地球科学

Journal of Atmospheric Chemistry Pub Date : 2025-05-03 DOI: 10.1007/s10874-025-09473-6

Min Ju Yeo, Donghee Lee, Seonggyun Na, Dayeong Lee, Yong Pyo Kim, Jinsoo Park, Ja-Ho Koo

{"title":"Variation of the concentrations of the particulate chemical components in Seoul response to the changes of major emission sources in the region: emphasis on ambient heavy metals","authors":"Min Ju Yeo, Donghee Lee, Seonggyun Na, Dayeong Lee, Yong Pyo Kim, Jinsoo Park, Ja-Ho Koo","doi":"10.1007/s10874-025-09473-6","DOIUrl":"10.1007/s10874-025-09473-6","url":null,"abstract":"<div>This study analyzed the impact of air-mass transport via the Yellow Sea (YS) pathway on PM2.5 concentrations and chemical composition in Seoul from 2016 to 2021, focusing on heavy metals while also considering inorganic and organic species. Using backward trajectories from the HYSPLIT model, the analysis showed that YS-pathway cases consistently showed higher concentrations PM2.5 and most components compared to non-YS-pathway cases, indicating that the influence of transboundary air pollutants transported via the Yellow Sea persisted. This difference was also influenced by local meteorological conditions, such as lower planetary boundary layer heights and weaker wind speeds during YS-pathway cases in winter, which are unfavorable for pollutant dispersion. Vanadium (V) and nickel (Ni), markers of heavy oil combustion, showed similar trends, with significant declines in 2020 and 2021, likely due to the IMO 2020 regulation and reduced shipping activity during the COVID-19 pandemic. In contrast, arsenic (As) and selenium (Se), markers of coal combustion, showed different trends, suggesting variations in their emission sources. Elevated As levels observed in late 2020 were attributed to emissions from coal-fired power plants in North Korea and Liaoning Province, China. Meanwhile, lead (Pb) and As exhibited no significant differences between YS-pathway and non-YS-pathway cases, suggesting that their source distributions differ from those of other pollutants. These findings highlight the ongoing influence of transboundary air pollutants on air quality in Seoul and emphasize the need for international collaboration, sustained monitoring, and effective domestic and regional emissions controls.</div>","PeriodicalId":611,"journal":{"name":"Journal of Atmospheric Chemistry","volume":"82 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143900827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Health risk assessment and morphometric study of metal bounded ultrafine aerosol in indo-gangetic plain, India 印度印度河流域平原金属超细气溶胶的健康风险评估和形态计量学研究

IF 3 4区地球科学

Journal of Atmospheric Chemistry Pub Date : 2025-04-21 DOI: 10.1007/s10874-025-09471-8

Rahul Tiwari, Kalpana Rajouriya, Renuka Saini, Prabal P. Singh, Ajay Taneja

{"title":"Health risk assessment and morphometric study of metal bounded ultrafine aerosol in indo-gangetic plain, India","authors":"Rahul Tiwari, Kalpana Rajouriya, Renuka Saini, Prabal P. Singh, Ajay Taneja","doi":"10.1007/s10874-025-09471-8","DOIUrl":"10.1007/s10874-025-09471-8","url":null,"abstract":"<div>Traffic activities and road dust are major contributors to the release of metals in ambient air which further cause serious health risks by entering the body. This study examined size-segregated PM concentration trends in rural site (Iradatnagar) Risk assessement and disease estimation was done by AirQ + and USEPA Methodology. PM2.5-1.0 levels were 294.64 µg/m³ in summer and 78.81 µg/m³ was found in monsoon, while PM1.0-0.5 measured 204.53 µg/m³ in summer and 66.42 µg/m³ in monsoon, respectively. Al, Ba, Ca, Fe, Mg, Mn, Pb, Ni, Cr, Cd, Cu, and Zn were analyzed. Total metal concentration was found to be 32.96 µg/m3 in summer and 12.27 µg/m3 in monsoon for PM2.5−1.0, while for PM1.0−0.5 it was found as 30.42 µg/m3 and 10.56 µg/m3 in summer and monsson respectively. According to the findings, the concentration of metals was higher in summer. Metal BI ranged from 5.12 to 6.46% (PM2.5-1.0) and 4.56–7.05% (PM1.0-0.5). HQ outcomes Cr(2.78, 9.59E-02), Ni(2.73, 6.85E-01), Al(1.43, 4.79E-01), and Mn(0.19, 1.92E-01) were observed for PM2.5−1.0 in the summer and monsoon seasons respectively. HQ outcomes Cr(3.16, 9.59E-02), Ni(0.68, 6.85E-01), Al(1.55, 5.56E-01), and Mn(0.76, 1.92E-01) were identified for PM1.0−0.5 in summer, and monsoon seasons. HQ was observed higher for PM1.0−0.5 (1.95) size fractions compared to PM2.5−1.0 (1.30). ELCR value for Cr(VI) was found higher for adult in comparison with child whereas the trend followed as as Cr(VI) (0.0007), (0.0002) > Pb (3.52E-06)(1.05E-06) > Ni (1.31E-06)(3.94E-07). Adult values were found to be greater (0.0002) than child values (7.10E-05). The Cancerous risk mean value found two times higher than the permissible limit (1 × 10− 6).</div>","PeriodicalId":611,"journal":{"name":"Journal of Atmospheric Chemistry","volume":"82 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143852520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Characterization and source apportionment of PM2.5 and PM10 in a Mountain Valley: seasonal variations, morphology, and elemental composition 山谷中PM2.5和PM10的特征和来源分配：季节变化、形态和元素组成

IF 3 4区地球科学

Journal of Atmospheric Chemistry Pub Date : 2025-03-26 DOI: 10.1007/s10874-025-09469-2

Shyam Narayan Nautiyal, Veena Joshi, Alok Sagar Gautam, Ranjit Kumar, Sanjeev Kumar, Karan Singh, Sneha Gautam

{"title":"Characterization and source apportionment of PM2.5 and PM10 in a Mountain Valley: seasonal variations, morphology, and elemental composition","authors":"Shyam Narayan Nautiyal, Veena Joshi, Alok Sagar Gautam, Ranjit Kumar, Sanjeev Kumar, Karan Singh, Sneha Gautam","doi":"10.1007/s10874-025-09469-2","DOIUrl":"10.1007/s10874-025-09469-2","url":null,"abstract":"<div>This study investigates the mass concentrations, morphological characteristics, elemental composition and source apportionment of PM2.5 and PM10 aerosols across different seasons collected in a mountain valley of the central Himalayan region of Uttarakhand, India. The average PM10 concentration was found to be 88.74 ± 34.12 µg m⁻3, generally below the NAAQS 24-h standard, while the mean PM2.5 concentration was found to be 67.72 ± 37.00 µg m⁻3, exceeding the NAAQS standard. Elevated PM10 levels during pre-monsoon periods were linked to windblown dust from neighbouring regions and thermodynamic conditions within the planetary boundary layer, while high PM2.5 levels were attributed to temperature inversions and stable atmospheric conditions. The study identified three major particle groups—biogenic, geogenic, and anthropogenic—using SEM–EDX analysis highlighting the significant impact of both natural and anthropogenic sources. Biogenic aerosols were prevalent in the samples. Variations in the composition of the elements are noted, with C and Si being the most predominant. A strong correlation was found between carbon and oxygen (r = 0.926) using Pearson correlation matrix. NOAA HYSPLIT-4 model was used for air mass back trajectory analysis, which suggests that the receptor site station received air mass from both local sources and long-range transport.</div>","PeriodicalId":611,"journal":{"name":"Journal of Atmospheric Chemistry","volume":"82 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143706905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluating urban ozone dynamics in two Indian megacities using ground data and predictive ozone modelling: role of AVOC – NOx regime and influence on secondary PM levels 利用地面数据和预测臭氧模型评估印度两个特大城市的城市臭氧动态：AVOC - NOx制度的作用及其对二次PM水平的影响

IF 3 4区地球科学

Journal of Atmospheric Chemistry Pub Date : 2025-03-25 DOI: 10.1007/s10874-025-09470-9

Yuva Kiran Kadali, Abhishek Chakraborty

{"title":"Evaluating urban ozone dynamics in two Indian megacities using ground data and predictive ozone modelling: role of AVOC – NOx regime and influence on secondary PM levels","authors":"Yuva Kiran Kadali, Abhishek Chakraborty","doi":"10.1007/s10874-025-09470-9","DOIUrl":"10.1007/s10874-025-09470-9","url":null,"abstract":"<div>Ozone (O3) in ambient air acts as a greenhouse gas and has harmful effects on human health and vegetation. Short-term exposure to elevated surface O3 is linked to increased risks of respiratory and cardiovascular mortality. The emission of volatile organic compounds (VOCs) and nitrogen oxides (NOx) into the atmosphere can trigger chemical reactions influenced by solar radiation (SR), resulting in O3 formation in the troposphere. This study focuses on a few locations within Delhi and Mumbai using publicly available data. O3 concentrations peak in the afternoon and decrease subsequently. During winter, NOx concentrations were higher, while O3 concentrations were lower, possibly due to reduced solar radiation and altered atmospheric VOC-NOx regimes. The HCHO/NO2 ratios in both Delhi and Mumbai are less than 1, indicating VOC-limited conditions. The secondary fraction (SA) of PM2.5 at select locations was estimated using the Approximate Envelope Method (AEM). SA values derived from AEM exhibited diurnal trends consistent with field studies and established knowledge. This analysis demonstrated that SA can constitute up to 85% of total PM2.5, highlighting its significant contribution to overall particulate matter levels. An evaluation of the AVOC-NOx-O3-SA relationship revealed that elevated O3 concentrations predominantly occur at higher AVOC/NOx ratios, often leading to increased SA levels to some extent. To predict O3, a multiple linear regression model was employed, incorporating various parameters. The model achieved a coefficient of correlation when compared to measured data of over 0.90, indicating its effectiveness in predicting O3 levels. This research provides valuable insights into the dynamics of surface O3 and its implications for urban secondary pollutants.</div>","PeriodicalId":611,"journal":{"name":"Journal of Atmospheric Chemistry","volume":"82 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143688495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of respirable silica and heavy metals with their morphology in ambient air of Dhaka City 达卡市环境空气中可吸入二氧化硅及重金属形态分析

IF 3 4区地球科学

Journal of Atmospheric Chemistry Pub Date : 2025-03-25 DOI: 10.1007/s10874-025-09468-3

Mishuk Biswas, Md Ismail Hossain, AKM Khairul Bashar, Md Moniruzzaman, Abdus Salam, Md Safiqul Islam

{"title":"Analysis of respirable silica and heavy metals with their morphology in ambient air of Dhaka City","authors":"Mishuk Biswas, Md Ismail Hossain, AKM Khairul Bashar, Md Moniruzzaman, Abdus Salam, Md Safiqul Islam","doi":"10.1007/s10874-025-09468-3","DOIUrl":"10.1007/s10874-025-09468-3","url":null,"abstract":"<div>Though Dhaka is among the most air polluted cities, the origin and impact of respirable crystalline silica (RCS) are mostly unclear. This study examines the concentrations and sources of RCS and heavy metal in the ambient air of Dhaka city due to its health hazards. Samples were obtained from the industrial area, construction zone, hospital, and workshop over a period of three consecutive days. Each sample was collected using a polytetrafluoroethylene filter for a duration of 24 h. The quantification of RCS and heavy metal concentration was performed utilizing UV-vis and ICP-MS techniques, while SEM-EDX was employed to examine the morphology of total suspended particulate matter (TSP). The construction zone had the highest concentration of RCS, measuring 2.55 µgm− 3 suggesting the likely source of the RCS. Additionally, this research revealed that among all locations, at least five individuals per 10,000 will be susceptible to cancer as a result of RCS. Construction zone exhibited a low level of heavy metal concentration, whereas industrial area contained the highest levels. The industrial area was found to contain the highest concentrations of Pb and Hg among the four heavy metals, while the workshop exhibited the highest concentrations of Cr and As. SEM analysis revealed a lot of soot particles that had chromium in them. Aluminum was found in the silica particle that reveal the source of it with more accuracy. This aerosol morphology investigation will assist stakeholders understand pollution source and type.</div>","PeriodicalId":611,"journal":{"name":"Journal of Atmospheric Chemistry","volume":"82 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing phytomonitoring potential employing air pollution tolerance index and oxidative stress markers for selective flora in metrocity-Lucknow, India 利用空气污染耐受性指数和氧化应激标记评价印度勒克瑙城市选择性植物群的植物监测潜力

IF 3 4区地球科学

Journal of Atmospheric Chemistry Pub Date : 2025-01-20 DOI: 10.1007/s10874-025-09467-4

Priya Saxena, Ankit Kumar, Komal Sharma, Alka Kumari

{"title":"Assessing phytomonitoring potential employing air pollution tolerance index and oxidative stress markers for selective flora in metrocity-Lucknow, India","authors":"Priya Saxena, Ankit Kumar, Komal Sharma, Alka Kumari","doi":"10.1007/s10874-025-09467-4","DOIUrl":"10.1007/s10874-025-09467-4","url":null,"abstract":"<div>Growing ambient air pollution in Lucknow is a menace to the monuments, urban dwellers, and the ecosystem. In view of the above, air pollution tolerance potential of dominant plants against air pollutants was assessed supported by indices and statistics. The study was conducted at three sampling sites in Lucknow city: commercial, industrial, and rural in the years 2021-22. PM2.5 concentrations were 163.4 ± 25.3, 155.1 ± 14.6 and 113.2 ± 30.8 µg/m3 at commercial, industrial, and rural locations, respectively, breaching national ambient air quality standards (60 µg/m3) by 172.3, 158.5 and 88.7%. Eleven trace elements were associated with PM2.5 and PM10 out of which Sr, Al, Fe, and Zn were predominant owing to road dust entrainment and vehicular emission. Biochemical parameters were assessed for four native floral species Azadirachta indica, Mangifera indica, Ficus religiosa and Cascabela thevetia. For these species, pH ranged between 5.3-8.4, total chlorophyll 0.4–1.2 mg/g, carotenoids 0.15–0.34 mg/g, relative water content 32.1–89.9% and ascorbic acid 0.12–1.32 mg/g. Guaiacol peroxidase (19.5 ± 2.5 U/gm protein) was highest for C. thevetia, malondialdehyde (3.6 ± 1.4 nmol/gm FW) for A. indica, superoxide dismutase (339.4 ± 11.7 U/mg protein) for C. thevetia and catalase (688.7 ± 68 U/mg protein) for A. indica. Air pollution tolerance index (APTI) was higher for F. religiosa (17.53) followed by A. indica (13.34) showing their tolerance ability in response to particulate matter and heavy metals. Aforementioned plant species can be used to further investigate how plants and pollutants interact and for enhancing potential phyto-control methods for minimizing air pollution.</div>","PeriodicalId":611,"journal":{"name":"Journal of Atmospheric Chemistry","volume":"82 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142995252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Forecasting of monthly air quality index and understanding the air pollution in the urban city, India based on machine learning models and cross-validation 基于机器学习模型和交叉验证的月度空气质量指数预测和了解印度城市的空气污染

IF 3 4区地球科学

Journal of Atmospheric Chemistry Pub Date : 2024-12-27 DOI: 10.1007/s10874-024-09466-x

Chaitanya Baliram Pande, Neyara Radwan, Salim Heddam, Kaywan Othman Ahmed, Fahad Alshehri, Subodh Chandra Pal, Malay Pramanik

{"title":"Forecasting of monthly air quality index and understanding the air pollution in the urban city, India based on machine learning models and cross-validation","authors":"Chaitanya Baliram Pande, Neyara Radwan, Salim Heddam, Kaywan Othman Ahmed, Fahad Alshehri, Subodh Chandra Pal, Malay Pramanik","doi":"10.1007/s10874-024-09466-x","DOIUrl":"10.1007/s10874-024-09466-x","url":null,"abstract":"<div>In this paper, the study focuses on the forecasting of the Air Quality Index (AQI) using linear regression, random forest, and decision tree regression models in Delhi City. The AQI is a crucial metric for monitoring air quality and provides information on the level of air pollution and its potential health risks. The main research aims to develop forecasting of AQI in three scenarios based on the air pollutants data. Monthly average Nitrogen dioxide (NO2), Sulfur dioxide (SO2), Oxygen (O3), and Particle matter (PM2.5) data from 1987 to 2020 were included. The research was executed in two steps: preprocessing datasets, plotting the datasets, and analyzing them in the first step, and training and testing the model's accuracy in the second step. The datasets were divided into training and testing sets also we forecasted the AQI in three scenarios based on the different input variables. Feature importance was used for the selection of model input variables. Results of the study area compared the Machine Learning (ML) models in three scenarios best performance models such as Decision Tree Regression (DT) (R2 = 0.99, RMSE = 0.81), Random Forest (RF) (R2 = 0.98, RMSE = 16.64), and RF (R2 = 0.99, RMSE = 0.27), respectively. The results of DT and RF models showed high prediction performance compared to other models in the first, second, and third scenarios, respectively. The results of 10-fold cross-validation models are cross-validated to all models, which is the RF model is best other than the models in three scenarios. Hence, the cross-validation of all ML models so important for the selection of the best model for forecasting AQI in Delhi City. The results can be helpful to urban policy makers in the Delhi city.</div>","PeriodicalId":611,"journal":{"name":"Journal of Atmospheric Chemistry","volume":"82 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142890464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Carbonaceous aerosol in the Brahmaputra plains: Sources, and influence from the hotspot Indo-Gangetic plains, India 雅鲁藏布江平原的碳质气溶胶：来源和来自印度热点恒河平原的影响

IF 3 4区地球科学

Journal of Atmospheric Chemistry Pub Date : 2024-11-30 DOI: 10.1007/s10874-024-09464-z

T. Paul, A. K. Sudheer, M. Gaddam, R. Pawar, A. S. Maurya, D. S. Jyethi

{"title":"Carbonaceous aerosol in the Brahmaputra plains: Sources, and influence from the hotspot Indo-Gangetic plains, India","authors":"T. Paul, A. K. Sudheer, M. Gaddam, R. Pawar, A. S. Maurya, D. S. Jyethi","doi":"10.1007/s10874-024-09464-z","DOIUrl":"10.1007/s10874-024-09464-z","url":null,"abstract":"<div>Organic carbon (OC) and elemental carbon (EC) play a significant role in aerosol mass and atmospheric processes. This study is focused on the eastern part of the Great Northern Plains of India, namely the Brahmaputra Plains, to understand the influence of regional and local contribution on the carbonaceous fraction of PM2.5. Mean annual PM2.5 concentrations exceeded the National Ambient Air Quality Standards (NAAQS), with values of 46.6 ± 30.0 μg/m3 in the rural area and 50.4 ± 34.4 μg/m3 in the semi-urban area. The range in monsoon-winter was found to be 22.7–71.9 μg/m3. OC and EC contribute 44–50% of the PM2.5 mass concentration. The OC/EC ratios ranged from 3.3 to 9.3 in the rural area and from 4.3 to 6.9 in the semi-urban area, indicating significant secondary organic aerosol (SOA) formation, especially during the high photochemical period of the pre-monsoon season. Lower δ13C values were observed during winter (-27.5‰ rural, -27.3‰ semi-urban), pre-monsoon (-28.1‰ rural, -27.6‰ semi-urban), and post-monsoon (-28.2‰ rural, -28.1‰ semi-urban) periods, suggesting influences from biomass burning, fossil fuel combustion, and aged aerosols. The study employs cluster analysis of air mass trajectory, and Moderate Resolution Imaging Spectroradiometer (MODIS) fire data to determine the influence of the hotspot Indo-Gangetic Plain (IGP) and long-range transport on aerosol carbonaceous content during most seasons except the monsoon period June–September in the Brahmaputra Plains.</div>","PeriodicalId":611,"journal":{"name":"Journal of Atmospheric Chemistry","volume":"81 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142753976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Association between time of day and carbonaceous PM2.5 and oxidative potential in summer and winter in the Suncheon industrial area, Republic of Korea 大韩民国顺天工业区夏季和冬季一天中的时间与含碳 PM2.5 和氧化潜能值之间的关系

IF 3 4区地球科学

Journal of Atmospheric Chemistry Pub Date : 2024-11-18 DOI: 10.1007/s10874-024-09465-y

Seoyeong Choe, Geun-Hye Yu, Myoungki Song, Sea-Ho Oh, Hajeong Jeon, Dong-Hoon Ko, Min-Suk Bae

{"title":"Association between time of day and carbonaceous PM2.5 and oxidative potential in summer and winter in the Suncheon industrial area, Republic of Korea","authors":"Seoyeong Choe, Geun-Hye Yu, Myoungki Song, Sea-Ho Oh, Hajeong Jeon, Dong-Hoon Ko, Min-Suk Bae","doi":"10.1007/s10874-024-09465-y","DOIUrl":"10.1007/s10874-024-09465-y","url":null,"abstract":"<div>PM2.5 samples were collected in Suncheon during the summer (June 2–11, 2023) and winter (January 15–21, 2024). The chemical composition analysis included carbonaceous components (OC, EC), secondary ionic components (NH4+, NO3−, SO42−), dithiothreitol - oxidative potential (QDTT-OP), and volatile organic compounds. Results showed higher summer PM2.5 concentrations due to photochemical reactions and higher winter concentrations from heating and stable atmospheric conditions. The OC/EC ratio indicated greater secondary organic aerosol formation in summer. Oxidative potential (QDTT-OPv) was higher in summer (0.12 µM/m³) than winter (0.09 µM/m³), correlating strongly with OC in summer. Health risk assessment of BTEX revealed higher concentrations in winter, with benzene as the primary contributor to lifetime cancer risk (LTCR). The cumulative hazard quotient (HQ) was higher in winter, indicating increased non-carcinogenic risk. The study highlighted that oxidative potential is more influenced by chemical composition than physical characteristics, suggesting that regulating PM2.5 concentration alone may be insufficient. VOCs, as precursors of SOA, showed a positive correlation with QDTT-OPv, with benzene exhibiting the strongest correlation in winter. These findings emphasize the need for targeted management of specific PM2.5 components to mitigate health risks effectively.<h3>Graphical Abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":611,"journal":{"name":"Journal of Atmospheric Chemistry","volume":"81 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142664457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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