Aerosol Science and Engineering最新文献

{"title":"A Review of Atmospheric Aerosol Impacts on Regional Extreme Weather and Climate Events","authors":"Julius A. Akinyoola, A. Oluleye, Imoleayo E. Gbode","doi":"10.1007/s41810-024-00223-x","DOIUrl":"10.1007/s41810-024-00223-x","url":null,"abstract":"<div><p>Atmospheric aerosols are essential constituents of the atmosphere and also interact with radiation and clouds. Substantial progress has been made since the industrial era majorly for observing, understanding, and modeling processes and these research efforts have helped to identify how aerosol optical properties have contributed to radiative forcing that influence regional and global climate. Research findings have also helped to quantify the imbalance in the Earth's radiation budget caused by anthropogenic aerosols as well as various other ways aerosol has contributed to global warming both at the regional and global scale. Several aerosol inventories have been developed to quantify different aerosol species including the emission, life span, sizes, and transportation from one region to another and as well as the influence of the surrounding environment on aerosol characteristics. In recent times new metrics have been developed for adequate measurements to quantifying aerosol radiation and cloud interaction including Aerosol Instantaneous Radiative Forcing (IRF) which is the changes that occur in the Earth's energy balance due to the direct interaction of aerosols with incoming solar or outgoing infrared radiation and can lead to warming or cooling of the atmosphere, depending on the aerosol type (e.g., sulfate aerosols cause cooling). Rapid adjustment also referred to as a swift in atmospheric response to changes in radiative forcing, including adjustments in temperature, humidity, and cloud cover. It occurs almost immediately, influencing local and regional climate conditions alongside aerosol or greenhouse gas emissions. On the other hand, after taking into consideration quick corrections and feedbacks, the Effective Radiative Forcing (ERF) represents the net change in Earth's energy balance. By recording both short- and long-term feedbacks, it offers a more thorough knowledge of the total impact of aerosols or other agents on climate. These metrics are employed to precisely estimate net radiation perturbation, even though the actual measurement values of these three recently developed metrics continue to fluctuate inexplicably throughout the regions. This review provides information on various aspects of aerosol properties especially those that are related to radiation, cloud interaction, and extreme events. The new paradigm shifts to a modeling approach, theoretical considerations, and finetuned observational methodology are essential tools to be considered. Scattering and absorption of aerosol show different mechanisms involved when aerosols interact with short and long-wave radiation but aerosol absorption ability might not only be limited to certain aerosol species as entailed in research consensus and these might be one of the major constraints of surface radiative fluxes from aerosol-radiation interactions. The influence of anthropogenic aerosols on cloud liquid water content and cloud fraction was also considered and it has be","PeriodicalId":36991,"journal":{"name":"Aerosol Science and Engineering","volume":"8 3","pages":"249 - 274"},"PeriodicalIF":1.6,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141648537","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":"Validation of AERMOD Prediction Accuracy for Particulate Matters (PM10, PM2.5) for a Large Coal Mine Complex: A Multisource Perspective","authors":"Navin Prasad,&nbsp;Akash Mishra,&nbsp;Tanushree Bhattacharya,&nbsp;Bindhu Lal,&nbsp;Prakash Chandra Jha,&nbsp;Abhishek Kumar","doi":"10.1007/s41810-024-00241-9","DOIUrl":"10.1007/s41810-024-00241-9","url":null,"abstract":"<div><p>Particulate matter (PM) emission from coal mining activities is inevitable and a significant concern worldwide. American Meteorological Society/Environmental Protection Agency Regulatory Model (AERMOD) is one of the most widely used dispersion models for predicting air PM dispersion in coal mines. However, validation of AERMOD-predicted PM concentration in a large mine complex has not been reported. So, in this study, AERMOD predicted PM concentration was validated against the PM concentrations measured by nine continuous ambient air quality monitoring stations (CAAQMS) stationed in the Singrauli coal mining complex. The complex contains nine coal mines across 438 square kilometers, with around 129 pollution sources chiefly from the area, pit, and line categories. PM₁₀ and PM_2.5 concentrations peak during summer (204.58 µg/m³) and winter (67.67 µg/m³), respectively. The AERMOD model predicts peak dispersion of PM₁₀ (500–1200 µg/m³) and PM_2.5 (100–800 µg/m³) during the winter season. The AERMOD model reveals that the region’s wind movement caused by land and lake breezes was the predominant driver of PM surface dispersion. In the winter season, atmospheric inversion increases ground-level PM concentrations in the region. The AERMOD cannot represent the vertical dispersion of PMs in the summer, resulting in an underestimation of PM concentration. The statistical validation shows that AERMOD underestimates PM₁₀ and PM_2.5 concentrations across all seasons and years. The AERMOD model’s prediction accuracy for PM₁₀ (R² = 0.38) and PM_2.5 (R² = 0.56) is also low. Finally, it can be concluded that AERMOD-predicted PM concentrations are not accurate for large mining complexes but more suitable for individual mines.</p></div>","PeriodicalId":36991,"journal":{"name":"Aerosol Science and Engineering","volume":"9 1","pages":"30 - 44"},"PeriodicalIF":1.6,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141651610","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":"Impact of Ultra-Low Emission Technology of Thermal Power Plants on Air Quality in China","authors":"Wenda Zhu,&nbsp;Nan Li,&nbsp;Jiandong Li,&nbsp;Senhu Qu,&nbsp;Keqin Tang,&nbsp;Yang Xu,&nbsp;Fengyi Chang","doi":"10.1007/s41810-024-00237-5","DOIUrl":"10.1007/s41810-024-00237-5","url":null,"abstract":"<div><p>China is confronted with a severe air pollution challenge, wherein thermal power generation plays a significant role. In recent years, substantial efforts have been made in ultra-low emission retrofitting of coal-fired power plants, however, quantitative study regarding its subsequent impact on air quality is limited. In this study, we estimated the emission reduction of thermal power plants from the perspective of online monitoring system during 2014 ∼ 2016, and investigated the accompanying impacts on air quality in typical regions of China by using a regional chemical model WRF-Chem. The results indicate that the ultra-low emission retrofitting of thermal power plants, which was initiated in 2014, has achieved significant progress, with nearly 80% of planned tasks completed by 2016. As a result, emissions of SO₂, NO_x and PM_2.5 from thermal power plants notably decreased by 67.5%∼72.8% nationwide between 2014 and 2016. WRF-Chem simulations demonstrate that the ultra-low emission retrofitting effectively reduces air pollutant concentrations. Specifically, the monthly mean concentrations of SO₂, NO₂ and PM_2.5 in typical regions have decreased by 0.6 ∼ 1.7, 2.2 ∼ 3.7 and 2.6 ∼ 5.0 µg m^− 3, respectively, representing an improvement of 3.1%∼10.4%, particularly notable in winter. Regional variations in installed thermal power capacity and completion of the ultra-low emission retrofitting have led to differential improvements in air quality, with the Yangtze River Delta region exhibiting the most significant reduction in air pollution concentrations, surpassing the Beijing-Tianjin-Hebei and Pearl River Delta regions by up to 2.2 µg m^− 3. This study serves as a valuable reference for the ultra-low emission retrofitting of thermal power industry and provides essential data support for future air quality management strategies.</p></div>","PeriodicalId":36991,"journal":{"name":"Aerosol Science and Engineering","volume":"8 4","pages":"497 - 506"},"PeriodicalIF":1.6,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141677895","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":"Health and Economic Benefits of Lowering Particulate Matter (PM) Levels: Scenarios for a Southern Brazilian Metropolis","authors":"Eduardo Henrique Martins,&nbsp;Marina de Souza Eicardi,&nbsp;Danilo Covaes Nogarotto,&nbsp;Simone Andréa Pozza","doi":"10.1007/s41810-024-00239-3","DOIUrl":"10.1007/s41810-024-00239-3","url":null,"abstract":"<div><p>Several studies have reported reductions in atmospheric particulate matter (PM_2.5 and PM₁₀) during the social isolation period of the COVID-19 pandemic. We evaluated the monetary and health benefits of PM emission reductions in the short and long term in the city of Florianópolis, Brazil (half a million inhabitants). We collected information on PM₁₀ and PM_2.5 concentrations from 2018 to 2020, and population and health-related data (mortality and hospitalizations due to heart and respiratory problems) from 2018 to 2019. The Health Impact Assessment (HIA) tool was applied to the APHEKOM model and two different scenarios were evaluated. In the first scenario, PM levels remained throughout the year at the same average level as the most restrictive period of human mobility to contain Sars-CoV-2 infections. In the second, PM levels remained at WHO recommended levels throughout the year. In the first scenario, PM_2.5 reduction would prevent 35 annual deaths from non-external causes and 21 annual deaths from cardiovascular diseases. In addition, PM₁₀ reduction would prevent 28.9 respiratory hospitalizations and 12 cardiovascular hospitalizations, saving the public purse more than US$ 313,000 per year. In the second, based on WHO recommended levels, a reduction in PM_2.5 would prevent 47.7 annual deaths from non-external causes and 28.3 annual deaths from cardiovascular disease. Reducing PM₁₀ concentrations would also prevent 53.2 respiratory hospitalizations and 22.1 cardiac hospitalizations, resulting in savings of more than US$ 577,000/year. Therefore, a sustainable PM reduction that does not require the cessation of human activities could improve the quality of population health and reduce hospitalization costs.</p></div>","PeriodicalId":36991,"journal":{"name":"Aerosol Science and Engineering","volume":"9 1","pages":"1 - 12"},"PeriodicalIF":1.6,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143370046","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":"Chemical Characteristics and Public Health Risk Assessment of PM2.5-Bound Elements in Sheohar, India","authors":"Dinesh Sah","doi":"10.1007/s41810-024-00215-x","DOIUrl":"10.1007/s41810-024-00215-x","url":null,"abstract":"<div><p>In order to measure the seasonal variations, source identification, and human health risk of elements in PM_2.5 were collected from January 2021 to December 2021 at an urban site in Sheohar, India. Element (Na, Mg, K, Ca, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Cd, and Pb) concentrations were estimated using an inductively coupled plasma optical emission spectrometer (ICP-OES). The enrichment factors (EFs) and principal component analysis (PCA) were used to identify the sources of these elements, and the United States Environmental Protection Agency (US EPA) models were used to evaluate the carcinogenic and non-carcinogenic risks to both children and adults. The results showed that the annual mean concentration of PM_2.5 was 104.22 μg m⁻³ which exceeded the National Ambient Air Quality Standards (NAAQS, 40 μg m⁻³) and the World Health Organisation (WHO, 10 μg m⁻³) limits. The seasonal variation of PM_2.5 was characterised by high concentrations in winter, followed by post-monsoon, summer, and monsoon. The average annual concentrations of As, Cd, Ni, and Cr were 17.25 ng m⁻³, 32.68 ng m⁻³, 158.16 ng m⁻³, and 177.41 ng m⁻³, respectively, which were above the WHO limits. The concentrations of Ca and Fe were highest in the summer season. The concentrations of Mg and Na were highest in the monsoon season. The other element concentrations were highest in the winter season. Enrichment factor analysis showed that Zn, As, Pb, and Cd were predominantly from anthropogenic sources. In addition, source apportionment by PCA identified six components for the studied elements. The total carcinogenic and non-carcinogenic risks of elements exceeded the safe level of exposure for both children and adults, which indicate further research on sources of air pollution and measures for controlling pollutants in Sheohar, India.</p></div>","PeriodicalId":36991,"journal":{"name":"Aerosol Science and Engineering","volume":"8 3","pages":"275 - 287"},"PeriodicalIF":1.6,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142413629","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":"Numerical Research on Aerosol Transport and Deposition Inside a Heat Exchanger Tube Based on Lagrange Methodology","authors":"Hui Wang,&nbsp;Xiaohui Sun,&nbsp;Zhongning Sun,&nbsp;Haifeng Gu,&nbsp;Jing Sun,&nbsp;E Xinnuo","doi":"10.1007/s41810-024-00232-w","DOIUrl":"10.1007/s41810-024-00232-w","url":null,"abstract":"<div><p>The passive containment cooling system adopted in advanced light water reactors can enhance the natural removal of suspended aerosols inside containment during accidents. The primary removal mechanism is the diffusiophoresis in steam environments with the presence of non-condensable gas. The lumped-parameter methodology is widely used to calculate the natural removal of aerosol in the nuclear industry, which cannot obtain the mechanistic analysis of aerosol behavior. A numerical simulation methodology based on the Euler–Lagrange system was developed in this paper for the mechanistic analysis. COPAIN experiments and a hypothetical case validated the steam wall condensation model and aerosol diffusiophoresis model in this methodology. Then the experiments on aerosol transport and deposition inside a heat transfer tube were simulated using the validated numerical methodology. The simulation results agree well with the experiments. Numerical analysis indicates that the aerosol deposition rate decreases with increasing particle size with the combination effect of Stefan flow, thermophoretic, and diffusiophoretic forces. Stefan flow plays a dominant role; In the steam–air environment, diffusiophoretic force slightly weakens the aerosol wall deposition. The numerical simulation methodology developed in this work can be used to mechanistically analyze the behavior of aerosol transport and deposition inside containment during accidents.</p></div>","PeriodicalId":36991,"journal":{"name":"Aerosol Science and Engineering","volume":"8 4","pages":"426 - 442"},"PeriodicalIF":1.6,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142438798","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":"Numerical Investigations of Exhaling Respiratory Aerosol from Inside of the Human Respiratory Tract","authors":"Yaning Feng,&nbsp;Jintao Wang,&nbsp;Xinguang Cui","doi":"10.1007/s41810-024-00238-4","DOIUrl":"10.1007/s41810-024-00238-4","url":null,"abstract":"<div><p>The characteristics of exhaled aerosol outside the human respiratory airway are of significant importance in understanding virus transmission, yet they remain poorly understood. In order to effectively prevent and control the spread of respiratory infectious diseases, this study numerically investigates the exhaling characteristics of respiratory aerosol exhaled from the bronchus or larynx of a human upper airway model. This is achieved using the Euler–Lagrange method and considering various aerosol diameters (<i>dp</i> = 0.1, 0.3, 0.5, and 1–20 μm) as well as five expiratory flow intensities (<i>Q</i> = 15, 30, 60, 90, and 120 L/min). The important findings of this study are as follows: (1) Expiratory airflow exhibits complex flow phenomena, including jet-flow, flow separations, and vortex structures, with their characteristics being influenced by the expiratory flow intensities. (2) The exhaling characteristics of aerosol vary depending on the combined effects of expiratory flow intensities, aerosol diameters, and initial exhaled locations from either the bronchus or larynx. (3) A critical diameter (<i>d</i>_<i>c</i>) is identified to represent the size at which aerosol can effectively exit the respiratory airway and potentially pose a transmission risk. This critical diameter is identical for aerosol exhaled from both the bronchus and larynx under the same expiratory flow intensity, but it decreases as the expiratory flow intensity increases. In conclusion, expiratory flow intensity is the most critical factor in determining whether aerosol droplets can be expelled from the respiratory airway, as well as influencing the critical diameter (<i>d</i>_<i>c</i>) for aerosol droplets initially located in/after the larynx.</p></div>","PeriodicalId":36991,"journal":{"name":"Aerosol Science and Engineering","volume":"8 4","pages":"507 - 524"},"PeriodicalIF":1.6,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142438690","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":"Influence of the Turbulence Effect on the Rainfall Scavenging Coefficient","authors":"Xing Gao,&nbsp;Yanqiu Zuo,&nbsp;Hongqiang Wang","doi":"10.1007/s41810-024-00234-8","DOIUrl":"10.1007/s41810-024-00234-8","url":null,"abstract":"<div><p>Rainfall removal of aerosol particles is an important atmospheric aerosol self-scavenging process. Studying the scavenging mechanism of rainfall on aerosol particles and developing a suitable theoretical model are of great significance for preventing and controlling aerosol pollution and improving the accuracy of air quality forecasting. In this paper, the influence of the turbulence effect on aerosol capture by raindrops is investigated using numerical simulation, and the contribution of the turbulence effect to the capture of aerosol particles by raindrops, <i>E</i>_<i>t</i>, is given via the introduction of dimensionless parameters. The scavenging coefficients of the accumulated model particles calculated by simultaneously considering seven mechanisms, namely, Brownian diffusion, interception, inertial impaction, thermophoretic action, diffusiophoretic action, electrostatic action, and the turbulence effect, were found to be 2–10 times higher than those calculated using the currently commonly used Slinn formula (which considers only Brownian diffusion, interception, and inertial impaction). A rainfall scavenging of polydisperse aerosol prediction model was established by taking the actual rainfall events in Guangzhou City, China, as an example and considering seven mechanisms simultaneously, and the characteristics of small particulate matter (PM_2.5) changes over time simulated using the model matched well with the actual measurements.</p></div>","PeriodicalId":36991,"journal":{"name":"Aerosol Science and Engineering","volume":"8 4","pages":"454 - 467"},"PeriodicalIF":1.6,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141337259","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":"Source Apportionment of Carbonaceous Aerosols during PM2.5 Pollution Episodes in Xi’an, Northwestern China: Estimation of the Potential of Carbon Emission Reduction by Rural Household Energy Substitution","authors":"Yunxuan Gu,&nbsp;Hongmei Xu,&nbsp;Liyan Liu,&nbsp;Mengyun Yang,&nbsp;Zhenxing Shen,&nbsp;Xiaojian Chang,&nbsp;Peng Cheng","doi":"10.1007/s41810-024-00233-9","DOIUrl":"10.1007/s41810-024-00233-9","url":null,"abstract":"<div><p>The carbonaceous aerosol source apportionment is crucial for targeted prevention and control of PM_2.5 in China. The 24 h integrated PM_2.5 samples were collected from Xi’an, China during pollution events in 2015 in summer (biomass open burning period) and winter (haze period). Source apportionment of carbonaceous aerosols in PM_2.5 was conducted using radiocarbon (¹⁴C) and levoglucosan (a biomass combustion tracer). Results showed that in the study period of biomass open burning in the wheat harvest season (early June) in Xi’an, fossil and non-fossil sources contributed approximately 47% and 53% to total carbon (TC), respectively. In the haze pollution period, non-fossil sources dominated water-insoluble organic carbon (WISOC) at around 53%, and fossil sources accounted for about 71% of elemental carbon (EC), with the rest from biomass combustion. The usage of coal and biomass for heating in the study period in winter increased the contribution of fossil fuel combustion to carbonaceous aerosols, particularly EC. In order to reduce PM_2.5 and carbon emission in Xi’an, controlling biomass fuels burning in summer and solid fuels use in winter are essential. Biomass fuel is a renewable negative carbon fuel, contributing significantly to greenhouse gas emission reduction. After estimation, biomass fuel usage by rural residents in Xi’an in 2015 reduced by 545,000 t of CO₂ equivalent emission, with a carbon benefit of 38.1 million yuan. Replacing scattered coal with biomass fuel could further reduce 75,500 t of CO₂ equivalent emission, generating a carbon gain of 5.29 million yuan.</p></div>","PeriodicalId":36991,"journal":{"name":"Aerosol Science and Engineering","volume":"8 4","pages":"443 - 453"},"PeriodicalIF":1.6,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141369891","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 Orthogonal Analysis of Selected Influence Factors for Bioaerosol Samplers in an Aerosol Generating Chamber","authors":"Xuezheng Ma,&nbsp;Feng Tian,&nbsp;Pengfei Yang,&nbsp;Fei Zheng,&nbsp;Yu Niu,&nbsp;Huipeng Li,&nbsp;Ying Ci,&nbsp;Kongxin Hu","doi":"10.1007/s41810-024-00229-5","DOIUrl":"10.1007/s41810-024-00229-5","url":null,"abstract":"<div><p>A high-efficiency bioaerosol sampler is a necessary tool to capture airborne pathogenic microbes, and can effectively ensure the concentration and biological viability of the microbes for further biological and medical analysis. The Andersen sampler and Fuji cyclone were applied in the bacteria and virus under a bioaerosol emission chamber. The four factors selected for this study were temperature, microbial culture concentration, aerosol emission time, and the placing position of biosamplers, and each influencing factor with its varying levels were optimized by orthogonal analysis to evaluate the sampling efficiency of alternative biosamplers under both bacterial and viral environment in a bioaerosol generating chamber. The Andersen impactor had a better collecting effect than Fuji cyclone under four influence factors in bacterial aerosol environment. In the viral aerosol collection, a high air flow rate Fuji cyclone has a better performance for collecting viral aerosol without considering the viability. The two best factors from both Andersen and Fuji were the emission concentration and the angle of 45° sampler placing position under bacteria environment. The two best factors from both Andersen and Fuji were the temperature and the emission time under the virus environment.</p></div>","PeriodicalId":36991,"journal":{"name":"Aerosol Science and Engineering","volume":"8 4","pages":"389 - 401"},"PeriodicalIF":1.6,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142438773","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}