Atmospheric Pollution Research最新文献_第7页

Inhalation risk assessment on 14 organic chemicals in children's masks based on the Monte Carlo stochastic modeling method

IF 3.9 3区环境科学与生态学

Atmospheric Pollution Research Pub Date : 2025-03-01 DOI: 10.1016/j.apr.2025.102486

Yunbo Wang , Guixiao Li , Lihua Yu , Xiangke He , Xiaofeng Wei , Zhongxian Liu , Guiqin Zhang , Cuiling Gao

{"title":"Inhalation risk assessment on 14 organic chemicals in children's masks based on the Monte Carlo stochastic modeling method","authors":"Yunbo Wang , Guixiao Li , Lihua Yu , Xiangke He , Xiaofeng Wei , Zhongxian Liu , Guiqin Zhang , Cuiling Gao","doi":"10.1016/j.apr.2025.102486","DOIUrl":"10.1016/j.apr.2025.102486","url":null,"abstract":"<div><div>Children are a relatively vulnerable group, and their health has received widespread attention. However, understanding of the types of pollutants in children's products and the associated health risks remains limited. In this study, the release concentrations of 14 inhalable organics in children's masks made of polyvinyl chloride, ethylene-vinyl acetate co-polymer, and polyvinyl acetate materials were measured by air bag method, and the health risk assessment of these substances was carried out based on Monte Carlo method. The results indicated that cyclohexanone, p/m-xylene, o-xylene and ethylbenzene were the several pollutants with the highest release concentrations, the average release concentration of cyclohexanone in polyvinyl chloride, ethylene-vinyl acetate co-polymer and polyvinyl acetate were 5.76 mg m<sup>−3</sup>, 0.14 mg m<sup>−3</sup>, 4.60 mg m<sup>−3</sup>, respectively, p/m-xylene concentrations were 1.32 mg m<sup>−3</sup>, 0.67 mg m<sup>−3</sup>, 1.84 mg m<sup>−3</sup>, respectively, o-xylene concentrations were 1.91 mg m<sup>−3</sup>, 0.56 mg m<sup>−3</sup>, 2.37 mg m<sup>−3</sup>, respectively, ethylbenzene concentrations were 1.26 mg m<sup>−3</sup>, 0.84 mg m<sup>−3</sup>, 2.10 mg m<sup>−3</sup>, respectively. The acute risks of children's masks were assessed and none were found to pose an acute risk. The overall carcinogenic risk and the carcinogenic risks of benzene and carbon tetrachloride did not exceed the limit. However, the overall non-carcinogenic risks of the three materials of children's masks (HQ: 10.22–20.38) exceed the limit value, which will cause harm to children's health. Specifically, xylene, 1-butanol and 1, 3, 5-trimethylbenzene in polyvinyl chloride and polyvinyl acetate materials (HQ: 1.86–18.07), as well as xylene (HQ:6.35) and 1, 3, 5-trimethylbenzene (HQ:4.84) ethylene-vinyl acetate co-polymer material.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 6","pages":"Article 102486"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143550950","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}

引用次数: 0

Evaluating the effects of meteorology and emission changes on ozone in different regions over China based on machine learning 基于机器学习的气象和排放变化对中国不同区域臭氧的影响评估

IF 3.9 3区环境科学与生态学

Atmospheric Pollution Research Pub Date : 2025-03-01 DOI: 10.1016/j.apr.2024.102354

Boya Liu , Yuanyuan Li , Lili Wang , Lei Zhang , Fengxue Qiao , Peifan Nan , Dan Ji , Bo Hu , Zheng Xia , Zhengang Lou

{"title":"Evaluating the effects of meteorology and emission changes on ozone in different regions over China based on machine learning","authors":"Boya Liu , Yuanyuan Li , Lili Wang , Lei Zhang , Fengxue Qiao , Peifan Nan , Dan Ji , Bo Hu , Zheng Xia , Zhengang Lou","doi":"10.1016/j.apr.2024.102354","DOIUrl":"10.1016/j.apr.2024.102354","url":null,"abstract":"<div><div>Systematically understanding the impact of meteorological conditions on regional ozone pollution helps to retrieve ozone dataset and evaluate emission changes on ozone variation. Here, more air-quality observation sites were collected, and Random Forest algorithm was applied to retrieve daily maximum 8 h average (MDA8) O<sub>3</sub> concentrations at 1 km resolution in 2019–2020 in China. The region-season model and whole-retrieved model were established to compare the contributions of meteorological variables to ozone variations on spatiotemporal scale. The former model outperformed the latter for retrieval capability, but the predictive ability of the latter was slight stronger. This may be associated with the spatiotemporal heterogeneity of meteorological influence. Daily ozone variability in China was mainly influenced by meteorology, especially in North China Plain in autumn. The key factors were temperature, ultraviolet radiation and relative humidity over the whole country, but varied significantly in different regions and seasons. The effects of meteorology and emission sources on ozone were separated by weather normalization technique. Meteorological conditions were particularly favorable for increasing ozone concentrations in spring, but particularly unfavorable in winter. During the COVID-19 lockdown, the increases in ozone in spring and winter of 2020 were the contribution of the combination of meteorology and emissions; while the decreases in ozone in summer and autumn of 2020 were mainly due to the changes of emission sources, although meteorological conditions were unfavorable to ozone mitigation in heavily polluted areas. Our findings provide scientific basis for the prevention and control of ozone pollution for the regional scale in China.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 3","pages":"Article 102354"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143578513","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}

引用次数: 0

The effect of atmospheric boundary layer meteorology in climate-related gases and VOCs concentrations over 3 European cities using an aerial platform 利用空中平台研究欧洲3个城市大气边界层气象学对气候相关气体和挥发性有机化合物浓度的影响

IF 3.9 3区环境科学与生态学

Atmospheric Pollution Research Pub Date : 2025-03-01 DOI: 10.1016/j.apr.2024.102335

Thomas Maggos , Helena Flocas , Themistoklis Soulos , Panagiotis Panagopoulos , Dikaia E. Saraga , Dimosthenis Sarigiannis

{"title":"The effect of atmospheric boundary layer meteorology in climate-related gases and VOCs concentrations over 3 European cities using an aerial platform","authors":"Thomas Maggos , Helena Flocas , Themistoklis Soulos , Panagiotis Panagopoulos , Dikaia E. Saraga , Dimosthenis Sarigiannis","doi":"10.1016/j.apr.2024.102335","DOIUrl":"10.1016/j.apr.2024.102335","url":null,"abstract":"<div><div>In the frame of the EU Horizon2020 ICARUS project, a N.A.S.A Awarded Light Manned Aircraft equipped with high-tech scientific instrumentation was used to perform an aerial mapping over Athens, Thessaloniki and Ljubljana greater areas. This study aimed to evaluate the effect of Atmospheric Boundary Layer (ABL) on Green House Gases (GHGs) and Volatile Organic Compounds (VOCs) concentrations over urban and rural areas of the above cities. Simultaneous ground-based measurements were performed in the respective regions. Air samples were pressurized with a stainless-steel bellows compressor into electropolished stainless steel canisters and analyzed by the use of a novel gas chromatographic system. The estimation of the mixing height (ΜΗ) of the ABL was based on the synoptic scale atmospheric circulation and the prevailing background wind. It was found that the MH variation, following the prevailing meteorological conditions, results in different concentration profiles in the lower troposphere over the examined regions. The pollutants concentrations were generally decreasing with altitude in the ABL. Under certain meteorological conditions, vertical mixing plus horizontal transport can cause a high pollution level at the top of ABL. The pollutants concentrations were low over less industrialized and upwind regions, suggesting that local emission sources play significant role on the GHGs and VOCs levels over the regions. However, due to the large scale of sampling area that the aircraft covers the above gradients in concentrations are relative low. AQ modelling activities for simulating the cases studied in the current or any relative future work could reduce operating costs and allow projections of potential impacts.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 3","pages":"Article 102335"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143578514","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}

引用次数: 0

Dynamicity of carbon emission and its relationship with heat extreme and green spaces in a global south tropical mega-city region

IF 3.9 3区环境科学与生态学

Atmospheric Pollution Research Pub Date : 2025-02-28 DOI: 10.1016/j.apr.2025.102484

Manob Das , Arijit Das

{"title":"Dynamicity of carbon emission and its relationship with heat extreme and green spaces in a global south tropical mega-city region","authors":"Manob Das , Arijit Das","doi":"10.1016/j.apr.2025.102484","DOIUrl":"10.1016/j.apr.2025.102484","url":null,"abstract":"<div><div>Assessing the dynamicity of carbon emissions (CE) and their relationship with heat extremes and green spaces in cities is crucial for sustainable urban planning and climate resilience. CE contributes to the urban heat island (UHI) effect, intensifying heat extremes that pose health risks and increase energy consumption. This research aims to examine the dynamics of CE and its relationship with heat extreme (UHI) and green spaces in Kolkata Metropolitan Area (KMA), India from 2000 to 2020 using land-use carbon emission (LCE) model. The influence of green space and extreme heat on CE was analyzed using spearman correlation analysis. The study revealed that a) green spaces decreased by 60%, while built-up area increased by 185.9% b) the mean land surface temperature (LST) rose by 28%, and areas with high and very high UHI intensity expanded by 3.9% c) CE increased by approximately 188.2%, with an average annual increase of 9.4% with the highest increase from built-up areas d) UHI intensity had a positive impact on CE whereas green space was found to have a negative impact on CE (significant at p < 0.001). Thus, green spaces play a vital role in reducing carbon levels by acting as carbon sinks and regulating urban temperatures. By analyzing their impact, cities can optimize green infrastructure to mitigate heat stress and improve air quality.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 6","pages":"Article 102484"},"PeriodicalIF":3.9,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143579996","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}

引用次数: 0

The soil fugitive dust emission assessment using satellite data: A case study in Beijing-Tianjin-Hebei and its surrounding areas (BTHSA)

IF 3.9 3区环境科学与生态学

Atmospheric Pollution Research Pub Date : 2025-02-28 DOI: 10.1016/j.apr.2025.102482

Yanyu Li , Qizhong Wu , Huaqiong Cheng , Yiming Sun , Jieying He , Jie Li

{"title":"The soil fugitive dust emission assessment using satellite data: A case study in Beijing-Tianjin-Hebei and its surrounding areas (BTHSA)","authors":"Yanyu Li , Qizhong Wu , Huaqiong Cheng , Yiming Sun , Jieying He , Jie Li","doi":"10.1016/j.apr.2025.102482","DOIUrl":"10.1016/j.apr.2025.102482","url":null,"abstract":"<div><div>Soil fugitive dust (SFD) emission is a vital to environmental supervision in Beijing-Tianjin-Hebei and its Surrounding Areas (BTHSA). However, SFD emission inventory is updated slowly and has great uncertainty for air quality models. In this study, the Google Earth Engine (GEE) cloud platform is used for image acquisition, data preprocessing, and index calculation to rapidly produce bare soil maps, and a dynamic method of developing SFD emission inventory via bare soil maps is developed. The results showed that the BTHSA is susceptible to wind erosion and that the total bare soil area reached 1.05 × 10<sup>5</sup> km<sup>2</sup>, and the SFD PM<sub>2.5</sub> emission was 1.2 × 10<sup>5</sup> tons in 2020 according to the wind erosion model. SFD PM<sub>2.5</sub> emission is higher in plains areas than in mountainous areas in the BTHSA. The Community Multiscale Air Quality (CMAQ) modeling system is used to validate the SFD emissions with ground-based observational data. SFD emission generates greatly increase PM<sub>2.5</sub> in simulations and significantly alleviates 57.9% of the negative biases in PM<sub>2.5</sub> in the BTHSA. Identifying the spatiotemporal characteristics of SFD emissions is crucial for controlling air pollution in cities.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 6","pages":"Article 102482"},"PeriodicalIF":3.9,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562303","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}

引用次数: 0

Spatiotemporal variations of tropospheric formaldehyde and its potential sources over Pakistan based on satellite remote sensing

IF 3.9 3区环境科学与生态学

Atmospheric Pollution Research Pub Date : 2025-02-28 DOI: 10.1016/j.apr.2025.102483

Ayesha Mariam , Ushna Bint E. Ishfaq , Asim Daud Rana , Syeda Adila Batool , Shahid Parvez , Munawar Iqbal

{"title":"Spatiotemporal variations of tropospheric formaldehyde and its potential sources over Pakistan based on satellite remote sensing","authors":"Ayesha Mariam , Ushna Bint E. Ishfaq , Asim Daud Rana , Syeda Adila Batool , Shahid Parvez , Munawar Iqbal","doi":"10.1016/j.apr.2025.102483","DOIUrl":"10.1016/j.apr.2025.102483","url":null,"abstract":"<div><div>Formaldehyde (HCHO) is a trace gas that harms the atmospheric environment and human health. Therefore, it is essential to analyze the spatial dynamic characteristics of HCHO, potential sources, and the associated health risks. To do so, the current study utilized the TROPOspheric Monitoring Instrument (TROPOMI) HCHO observations to analyze the spatiotemporal variations of HCHO in Pakistan from 2019 to 2023. Moreover, the potential source areas of HCHO are also identified using the potential source contribution function (PSCF) and concentration-weighted trajectory (CWT) technologies. The results indicate an annual average HCHO concentration increase in Pakistan from 114 μmol/m<sup>2</sup> (in 2019) to 117 μmol/m<sup>2</sup> (in 2023) with a 0.3% growth rate. The average HCHO concentration in Punjab (177 μmol/m<sup>2</sup>), Sindh (138 μmol/m<sup>2</sup>), and KPK (121 μmol/m<sup>2</sup>) provinces is above the country average (105 μmol/m<sup>2</sup>). Lahore, Gujranwala, and Peshawar are the top HCHO emitters in Pakistan with mean HCHO of 204.25 ± 18.85 μmol/m<sup>2</sup>, 202.51 ± 8.14 μmol/m<sup>2</sup>, and 201.65 ± 13.66 μmol/m<sup>2</sup>, respectively. The study found the industrial sector as the main contributor to HCHO emissions in Pakistan, followed by the residential and transportation sectors. The findings of the spatial correlation of HCHO with Normalized Difference Vegetation Index (NDVI) (R<sup>2</sup> = 0.5) and Land Surface Temperature (LST) (R<sup>2</sup> = 0.7) indicate the positive influence of NDVI and LST on HCHO concentration. Moreover, the CWT and PSCF analyses suggest that in addition to local emissions, transboundary air pollution from India, Afghanistan, Iran, and Arabian Sea airflow also contributed to the transport of HCHO in Pakistan.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 6","pages":"Article 102483"},"PeriodicalIF":3.9,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551748","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}

引用次数: 0

Emission inventory and distribution characteristics of NH3 from agricultural fertilizers in Hunan, China, from 2012 to 2021

IF 3.9 3区环境科学与生态学

Atmospheric Pollution Research Pub Date : 2025-02-26 DOI: 10.1016/j.apr.2025.102479

Lili Lu , Lin Yuan , Zhiyuan Cai , Jing Fu , Genyi Wu

{"title":"Emission inventory and distribution characteristics of NH3 from agricultural fertilizers in Hunan, China, from 2012 to 2021","authors":"Lili Lu , Lin Yuan , Zhiyuan Cai , Jing Fu , Genyi Wu","doi":"10.1016/j.apr.2025.102479","DOIUrl":"10.1016/j.apr.2025.102479","url":null,"abstract":"<div><div>Fertilization is the main source of NH<sub>3</sub> emissions from agricultural ecosystems. Based on fertilization activity data and NH<sub>3</sub> emission factors, we aimed to develop an NH<sub>3</sub> emission inventory for fertilization in Hunan Province from 2012 to 2021. Additionally, we analyzed the historical trends in, spatial distributions of, and contributions of various districts and counties to NH<sub>3</sub> emissions in Hunan. The results showed that the highest emissions were estimated to be 112.69 Gg in 2012, which decreased to 84.11 Gg in 2021, with an average annual decline rate of approximately 3.17%. Additionally, NH<sub>3</sub> emissions from paddy fields were greater than those from drylands, and NH<sub>3</sub> emissions from nitrogen fertilizer were greater than those from compound fertilizer. During the study period, the NH<sub>3</sub> emission intensity of fertilization remained below 0.5 t km<sup>−2</sup> in Hunan Province. The areas with greater NH<sub>3</sub> emissions were mainly distributed in the northern, northeastern, and central regions. The cities with high emissions mainly included Changde, Hengyang, Yueyang, and Yongzhou. Zhangjiajie had the lowest NH<sub>3</sub> emissions and emission intensity in Hunan Province. Hanshou and Anxiang counties had substantial contributions to NH<sub>3</sub> emissions in Changde, with contribution rates of 17.86–19.1% and 18.9–19.24%, respectively. Huarong County had the greatest contribution to NH<sub>3</sub> emissions in Yueyang, with a contribution rate of 21.49–24.35%; Hengnan County had the greatest contribution to those in Hengyang, with a contribution rate of 20.38–23.62%; and Nan County had the largest contribution to those in Yiyang, with a contribution rate of 33.58–35.36%.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 5","pages":"Article 102479"},"PeriodicalIF":3.9,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527386","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}

引用次数: 0

Improving short-term forecasting of surface dust concentration in Northern China: Integrating machine learning with multi-numerical models

IF 3.9 3区环境科学与生态学

Atmospheric Pollution Research Pub Date : 2025-02-26 DOI: 10.1016/j.apr.2025.102480

Ziwei Yi , Zhaoliang Zeng , Yaqiang Wang , Weijie Li , Bihui Zhang , Hailin Gui , Bin Guo , Wencong Chen , Huizheng Che , Xiaoye Zhang

{"title":"Improving short-term forecasting of surface dust concentration in Northern China: Integrating machine learning with multi-numerical models","authors":"Ziwei Yi , Zhaoliang Zeng , Yaqiang Wang , Weijie Li , Bihui Zhang , Hailin Gui , Bin Guo , Wencong Chen , Huizheng Che , Xiaoye Zhang","doi":"10.1016/j.apr.2025.102480","DOIUrl":"10.1016/j.apr.2025.102480","url":null,"abstract":"<div><div>Sand and dust storms (SDSs) are among the most significant extreme weather and climate events impacting northern China, exerting substantial influences on global climate change, the ecological environment, socioeconomic systems, and public health. Traditional dust numerical models often exhibit considerable uncertainty due to the chaotic nature of the atmosphere, inaccuracies in initial conditions, and challenges in parameterizing physical processes. Therefore, a multi-model ensemble forecasting model (ML-SDC) for surface dust concentration was developed based on machine learning with multi-numerical models across northern China. The results demonstrate that the ML-SDC model exhibits significant improvements over single dust numerical models, traditional ensemble methods, and individual machine learning models during the 0–72 h forecast period with the average correlation coefficient (R), root mean square error (RMSE), and mean absolute error (MAE) for surface dust concentration reached 0.78, 91.49 μg/m<sup>3</sup> and 36.91 μg/m<sup>3</sup> respectively. Additionally, the ML-SDC model has a strong spatiotemporal correction ability for dust concentration, dispersion, and transport. This finding enhances the accuracy of short-term forecasts for extreme weather, offering a valuable tool for the identification and quantitative forecasting of dust weather, while supporting improved preparedness and mitigation strategies for SDS-related impacts and advancing research in climate modeling, air quality management, and environmental sustainability.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 6","pages":"Article 102480"},"PeriodicalIF":3.9,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143579997","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}

引用次数: 0

Investigating the formation of microplastic aerosols and their dispersion in urban environments: A comparative physical modelling study of aerosol and gas dispersion

IF 3.9 3区环境科学与生态学

Atmospheric Pollution Research Pub Date : 2025-02-26 DOI: 10.1016/j.apr.2025.102481

Hana Chaloupecká , Jan Suchánek , Jan Wild , Milan Mamula , Radka Kellnerová , Václav Nevrlý , Michal Dostál , Zdeněk Zelinger

{"title":"Investigating the formation of microplastic aerosols and their dispersion in urban environments: A comparative physical modelling study of aerosol and gas dispersion","authors":"Hana Chaloupecká , Jan Suchánek , Jan Wild , Milan Mamula , Radka Kellnerová , Václav Nevrlý , Michal Dostál , Zdeněk Zelinger","doi":"10.1016/j.apr.2025.102481","DOIUrl":"10.1016/j.apr.2025.102481","url":null,"abstract":"<div><div>Aerosols are present in almost all aspects of everyday life. Aerosols affect climate and health and arise in hazardous situations such as industrial accidents. In this study, we examined the generation of microplastic aerosols from polypropylene pipes used in drinking water systems and their dispersion in a simulated accident scenario using wind tunnel modelling. We compared aerosol and gas dispersion from a ground-level point source in a street canyon in a central European town. The results show that 185-nm UVC light generated stable microplastic aerosols (predominantly <1 μm) from the polypropylene. Although both the aerosol and gas dispersions exhibited recirculation and ventilation regions characteristic of an isolated roughness flow regime, their dispersion patterns differed. Vertically, the main gas dispersion field resembled an ellipse, whereas the main aerosol particles dispersion field resembled an anvil. Horizontally, gas was dispersed primarily perpendicular to the buildings, whereas aerosol particles were dispersed both perpendicular and parallel to the buildings.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 6","pages":"Article 102481"},"PeriodicalIF":3.9,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527417","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}

引用次数: 0

Numerical investigation of building gap effects on traffic pollutant dispersion in urban networks with intersecting streets

IF 3.9 3区环境科学与生态学

Atmospheric Pollution Research Pub Date : 2025-02-26 DOI: 10.1016/j.apr.2025.102475

Yiqi Wang, Ke Zhong, Jin Cheng, Jiajia Xu, Jiajian He, Yanming Kang

{"title":"Numerical investigation of building gap effects on traffic pollutant dispersion in urban networks with intersecting streets","authors":"Yiqi Wang, Ke Zhong, Jin Cheng, Jiajia Xu, Jiajian He, Yanming Kang","doi":"10.1016/j.apr.2025.102475","DOIUrl":"10.1016/j.apr.2025.102475","url":null,"abstract":"<div><div>Wind passing through the gaps between street-facing buildings has the effects of accelerating the natural removal of air pollutants in street canyons, with wider gap conventionally leading to better air quality. However, previous studies oversimplify the canyons by modeling them as isolated systems with only two rows of buildings, neglecting the blocking effects of surrounding building complexes. This leads to an overestimation of the gap flow's ability to flush out traffic pollutants. In this study, to better represent real urban configurations, a typical network with two crossing streets bounded by four complexes is investigated numerically, where one of the streets is parallel and another is perpendicular to the incoming wind. The gap layouts with different street continuities (<em>SC</em> = 0.483–1, building-to-street length ratio) are considered. Results show that for the parallel street, the air quality improves in a linear trend as the gap width is increased. However, the relationship between the gap width and air quality is not linear for the perpendicular street. The worst air quality in the street occurs at an intermediate gap width of <em>SC</em> = 0.759, while the air quality is good for both cases when the building gap width is significant (<em>SC</em> = 0.483) or can be neglected (<em>SC</em> = 1, no gaps between buildings). This finding challenges the conventional understanding and highlight the need to reassess the impacts of building gaps on urban air environments.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 6","pages":"Article 102475"},"PeriodicalIF":3.9,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562363","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}

引用次数: 0