Aerosol and Air Quality Research最新文献

{"title":"Reflection on 50 Years of Friendship and Collaboration on Aerosol Science and Technology","authors":"D. Pui","doi":"10.4209/aaqr.220400","DOIUrl":"https://doi.org/10.4209/aaqr.220400","url":null,"abstract":"I started my master’s degree in 1971 and completed Ph.D. degree in 1976 under the mentorship of Prof. Benjamin Liu. During these years, we worked on bipolar charging and established the criteria to neutralize charged aerosols (Liu and Pui, 1974a, 1974b) (Fig. 1). An electrical aerosol analyzer (EAA) was developed to measure atmospheric particle size distributions and led to the successful commercialization of TSI 3030 EAA (Liu and Pui, 1975). TSI founding aerosol instrument manager Gilmore Sem wrote that without the success of the EAA, TSI would have gotten out of the aerosol instrument business (Schmidt et al., 2022). Professor Kenneth Whitby and Dr. William Wilson of EPA invited me to participate in the LA smog measuring campaign (Whitby et al., 1975) which provided results, together with other field measurements, to help EPA set up the PM2.5","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"1 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70295484","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":"Gaseous Pollutants and Particulate Matter in Ambient Air: First Field Experiment in an Urban Mediterranean Area (Nador, Morocco)","authors":"B. Oujidi, A. Benchrif, M. Tahri, F. Zahry, M. Bounakhla, Hocein Bazairi, N. Mhammdi, M. Snoussi","doi":"10.4209/aaqr.220451","DOIUrl":"https://doi.org/10.4209/aaqr.220451","url":null,"abstract":"Mediterranean urban areas are reportedly affected by poor air quality due to numerous emission sources, as well as topography and meteorological conditions that facilitate the accumulation of pollution. This present study makes an initial attempt to assess the effect of gaseous pollutants (NO 2 , CO, and O 3 ) and particulate matter (PM 2.5 and PM 10 ) on the air quality of Nador city, which lies on the Mediterranean coast of Morocco. Three daily, short-term sampling campaigns were conducted between 2016 and 2018 in an urban area. The concentrations of PM 2.5 and PM 10 together with elemental compositions (up to 16 elements) and black carbon content were determined. The obtained data were characterized using descriptive analysis, correlation matrices, elemental enrichment factors (EFs), and elemental ratios. On average, the particulate matter and gaseous pollutant concentrations were below the national standard limits. Two categories of PM 2.5 and PM 10 sources, as derived from the EF investigation, were defined as soil/crustal (Ti, Al, Mn, Sr, K, Na, Ba, and V) and anthropogenic (Ni, Cr, Cu, Zn, and Pb). For black carbon, biomass burning was found to be the largest contributing source (3.1–8.4 µ g m –3 ), more so than fossil fuels (0.9–1.8 µ g m –3 ). This study highlights that an air quality management plan should be established for Nador city, including the implementation of a network of monitoring stations to help with identifying and controlling the activities causing air pollution.","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"1 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70295585","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":"Research on Performance and Mechanism of the NH3-SCR Reaction over Fly Ash-derived Mn-Ce/Zeolite X","authors":"Weijia Ren, Qifeng Xin, Zhesheng Hua, Zhong Zheng, Lifeng Xiao, Shaojun Liu, Chenghang Zheng, Yang Yang","doi":"10.4209/aaqr.230032","DOIUrl":"https://doi.org/10.4209/aaqr.230032","url":null,"abstract":"Zeolite X was synthesized from fly ash under optimized conditions, which was supported with Mn, Ce, and Mn-Ce respectively. Fly ash-derived zeolite X catalysts exhibited similar catalytic performance as compared with the commercial zeolite X catalyst. XRD, N 2 adsorption, SEM, XPS, and H 2 -TPR were used to investigate the relationship among the structure, physicochemical properties, and catalytic activities of the catalysts. Finally, the mechanism of NH 3 -SCR reaction on Mn-Ce/zeolite X was systematically performed by using diffused reflectance infrared Fourier transform spectroscopy (DRIFTS). The characterization results showed that the amorphous structure and good dispersion between Mn and Ce on the surface of the zeolite changed the electronic properties of the active components, improved its low-temperature catalytic activity, brought it characteristics of Mn and Ce at the same time, and broaden the reaction temperature range. The NO conversion rate of Mn-Ce-FX catalyst remained above 80% at 200 ° C–300 ° C. From DRIFTS we suggest that Eley-Rideal mechanism and Langmuir-Hinshelwood mechanism are simultaneously carried out on the catalyst surface. According to the FTIR results, the Eley-Rideal mechanism has a great influence on the reaction below 250 ° C, and the Brønsted acid sites adsorb a large amount of NH 3 , resulting in an excellent low-temperature activity. When above 250 ° C, Langmuir-Hinshelwood mechanism plays a dominant role. The nitrates on the surface gradually convert to bidentate nitrates, impeding the SCR reaction, could be one of the reasons for reducing the high-temperature activity.","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"1 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70296816","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":"Harmonization of the Long-term PM2.5 Carbon Data from the CSN Sites in New York State","authors":"Hesham Hassan, J. Schwab, Jie Zhang","doi":"10.4209/aaqr.230077","DOIUrl":"https://doi.org/10.4209/aaqr.230077","url":null,"abstract":"Harmonizing the particulate carbon data from the Chemical Speciation Network (CSN) is necessary to perform reliable long-term trend and seasonal variability analyses, clean air regulation assessments, and climate change studies. But it is challenging because the measurement of the carbonaceous fraction of PM 2.5 (particulate matter with a diameter less than or equal to 2.5 µ m) underwent several changes both in samplers and analysis protocols. To address the above issue, field blanks are used to remove artifacts from samples, an outlier filter is applied to remove anomalies from the dataset, and a regression between retired samplers and the current sampler data is used to establish the harmonization between two co-located urban sites in this study. A second comparison between the retired method and Interagency Monitoring of Protected Visual Environments (IMPROVE) network data was carried out at two sites (one urban and one rural) with co-located samplers. These results show no site dependence for organic carbon (OC) concentrations and small but non-negligible differences for elemental carbon (EC), which can be attributed to the relatively greater uncertainty of the low concentration rural EC measurements. An adjustment criterion that harmonizes the data from the beginning of the sampling period to the present is obtained. The harmonized data shows consistent trends and seasonal variability when compared to the reported data with these trends declining over the period 2001–2018.","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"1 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70297155","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":"Prediction of Hourly PM2.5 and PM10 Concentrations in Chongqing City in China Based on Artificial Neural Network","authors":"Qingchun Guo, Zhenfang He, Zhaosheng Wang","doi":"10.4209/aaqr.220448","DOIUrl":"https://doi.org/10.4209/aaqr.220448","url":null,"abstract":"Accurate prediction of air pollution is a difficult problem to be solved in atmospheric environment research. An Artificial Neural Network (ANN) is exploited to predict hourly PM 2.5 and PM 10 concentrations in Chongqing City. We take PM 2.5 (PM 10 ), time and meteorological elements as the input of the ANN, and the PM 2.5 (PM 10 ) of the next hour as the output to build an ANN model. Thirteen kinds of training functions are compared to obtain the optimal function. The research results display that the ANN model exhibits good performance in predicting hourly PM 2.5 and PM 10 concentrations. Trainbr is the best function for predicting PM 2.5 concentrations compared to other training functions with R value (0.9783), RMSE (1.2271), and MAE (0.9050). Trainlm is the second best with R value (0.9495), RMSE (1.8845), and MAE (1.3902). Similarly, trainbr is also the best in forecasting PM 10 concentrations with R value (0.9773), RMSE value (1.8270), and MAE value (1.4341). Trainlm is the second best with R value (0.9522), RMSE (2.6708), and MAE (1.8554). These two training functions have good generalization ability and can meet the needs of hourly PM 2.5 and PM 10 prediction. The forecast results can support fine management and help improve the ability to prevent and control air pollution in advance, accurately and scientifically.","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"42 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70296005","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":"An Interactive Clustering-Based Visualization Tool for Air Quality Data Analysis","authors":"Mahsa Ashouri, Frederick Kin Hing Phoa, Chun-Hhouh Chen, Galit Shmueli","doi":"10.4209/aaqr.230124","DOIUrl":"https://doi.org/10.4209/aaqr.230124","url":null,"abstract":"Examining PM2.5 (atmospheric particulate matter with a maximum diameter of 2.5 micrometers), seasonal patterns is an important research area for environmental scientists. An improved understanding of PM2.5 seasonal patterns can help environmental protection agencies (EPAs) make decisions and develop complex models for controlling the concentration of PM2.5 in different regions. This work proposes an R Shiny App web-based interactive tool, namely a “model-based time series clustering” (MTSC) tool, for clustering PM2.5 time series using spatial and population variables and their temporal features, like seasonality. Our tool allows stakeholders to visualize important characteristics of PM2.5 time series, including temporal patterns and missing values, and cluster series by attribute groupings. We apply the MTSC tool to cluster Taiwan’s PM2.5 time series based on air quality zones and types of monitoring stations. The tool clusters the series into four clusters that reveal several phenomena, including an improvement in Taiwan's air quality since 2017 in all regions, although at varying rates, an increasing pattern of PM2.5 concentration when moving from northern towards southern regions, winter/summer seasonal patterns that are more pronounced in certain types of areas (e.g., industrial), and unusual behavior in the southernmost region. The tool provides cluster-specific quantitative figures, like seasonal variations in PM2.5 concentration in different air quality zones of Taiwan, and identifies, for example, an annual peak in early January and February (maximum value around 120 μg m-3). Our analysis identifies a region in southernmost Taiwan as different from other zones that are currently grouped together with it by Taiwan EPA (TEPA), and a northern region that behaves differently from its TEPA grouping. All these cluster-based insights help EPA experts implement short-term zone-specific air quality policies (e.g., fireworks and traffic regulations, school closures) as well as longer-term decision-making (e.g., transport control stations, fuel permits, old vehicle replacement, fuel type).","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135007918","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":"Sulfurization- Desulfurization of Iron-Calcium Oxygen Carriers during Chemical Looping Combustion of Syngas","authors":"Yu-Lun Chen, Young Ku, Ya-Chun Chang","doi":"10.4209/aaqr.220398","DOIUrl":"https://doi.org/10.4209/aaqr.220398","url":null,"abstract":".","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135356422","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":"Promoted Catalytic Properties of Acetone over Cerium-Modified Mullite Catalyst YMn2O5","authors":"Xiaotian Mu, Wen-huan Wang, Kai Zhang, Honglei Ding, Weiguo Pan","doi":"10.4209/aaqr.220302","DOIUrl":"https://doi.org/10.4209/aaqr.220302","url":null,"abstract":"Mullite catalysts have become one of the most widely studied catalysts due to their highly stable structure and unique coordination with oxygen. In this work, Ce-modified mullite-type oxides Y 1-x Ce x Mn 2 O 5 have been prepared by sol-gel method to explore their Ce doping amount-dependent catalytic performance for acetone elimination. Experimental results confirm that Y 0.9 Ce 0.1 Mn 2 O 5 had optimum acetone oxidation activity, completely achieving 100% acetone conversion at 120 ° C under the reaction conditions of acetone concentration = 1000 ppm, 20 vol% O 2 /N 2 and WHSV = 36000 mL g –1 h –1 . This excellent catalytic activity comes from its larger specific surface area and higher Mn 4+ /Mn 3+ molar ratio. XRD and TEM results show that YMn 2 O 5 and CeO 2 phases form a multiphase oxide and interfacial structure. XPS results show that the content of doped CeO 2 mainly affects the surface adsorbed oxygen (Oads) and Mn 4+ content of the catalyst. Manganese species with higher chemical states are indeed more favorable for oxidation reactions on manganese-based catalysts. In addition, the reduction temperature of mixed oxides shifts to the lower temperature region, indicating that manganese and cerium oxides are more reducible, where the mobility of oxygen species is greatly enhanced. Y 0.9 Ce 0.1 Mn 2 O 5 also exhibits strong long-term stability and has good resistance to acetone elimination, showing excellent potential in eliminating acetone.","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"1 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70294284","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":"Temporospatial Variation, Chemical Composition, and Source Resolution of PM2.5 in the Southeastern Taiwan Island","authors":"C. Yuan, Jun-Hao Ceng, Po-Hsuan Yen, Kuan-Chen Chiang, Yu-Lun Tseng, Kwok-Wai Wong, M. Jeng","doi":"10.4209/aaqr.220350","DOIUrl":"https://doi.org/10.4209/aaqr.220350","url":null,"abstract":"This study investigated the temporospatial variation, chemical composition, and source resolution of fine particles (PM 2.5 ) in the southeastern seas of the Taiwan Island. 24-hr PM 2.5 was sampled simultaneously at two remote sites, the Green Island (West Pacific Ocean; WPO) and the Kenting Peninsula (northern Bashi Channel; BC), in four seasons. After sampling, the chemical fingerprints of PM 2.5 were characterized and further applied to resolve the potential sources of PM 2.5 and their contribution by using a receptor model on the basis of chemical mass balance (CMB), enrichment factor (EF), and backward trajectory simulation. It showed that PM 2.5 concentrations in winter (10.8 µ g m –3 ) and spring (12.0 µ g m –3 ) (i.e., during the period of Asian Northeastern Monsoons; ANMs) were higher than those in summer (4.0 µ g m –3 ) and fall (6.6 µ g m –3 ). In terms of chemical composition of PM 2.5 , secondary inorganic aerosols (SIAs = NO 3– , SO 42– , and NH 4+ ) (56.7–67.2%) were the dominant component of water-soluble ions (WSIs) in PM 2.5 , while crustal elements (Mg, Al, Ca, Fe, and K) (44.0–61.2%) dominated the metallic contents in PM 2.5 . High EF values ( > 10) showed that V, Mn, Ni, Cu, and Zn were potentially contributed from anthropogenic sources. Moreover, organic carbon (OC) (0.6 µ g m –3 ) was superior to elemental carbon (EC) (0.3 µ g m –3 ) in PM 2.5 . The OC/EC ratios higher than 2.0 showed the potential chemical formation of secondary organic aerosols (SOAs) in the atmosphere in winter and spring. Trajectory simulation indicated that high PM 2.5 concentrations were mostly originated from North and Central China, Japan islands, and Korea Peninsula. Major sources of PM 2.5 resolved by CMB receptor modeling were ordered as: sea salts (19.9%) > fugitive dust (19.8%) > industrial boilers (oil-fired) (10.8%) > secondary sulfate (9.8%) > mobile sources (8.0%).","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"1 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70294695","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":"A Systematic Literature Review of Cleanroom Ventilation and Air Distribution Systems","authors":"Arup Bhattacharya, Mohammad Saleh Nikoopayan Tak, Shervin Shoai-Naini, F. Betz, E. Mousavi","doi":"10.4209/aaqr.220407","DOIUrl":"https://doi.org/10.4209/aaqr.220407","url":null,"abstract":"Cleanroom ventilation systems are well-established; however, the advantages and limitations of current practices need to be examined and explained further. This study begins by looking over the history of cleanroom ventilation systems that creates the basis for understanding ventilation rate specifications, terminologies employed in ventilation effectiveness, and recognizing scientific studies that correlate ventilation effectiveness with air change rates. This systematic review includes a comprehensive summary that contains a set of historical data and evidence that may be used to specify ventilation requirements in cleanrooms. Scientific articles are classified in terms of laboratory experiments, simulations/numerical analysis, or hybrid. HVAC designers and operators can use published codes and guidelines more efficiently if the terminology is properly understood and the design solutions are easy to implement. The present study aims to provide a deep insight into understanding the role of ventilation on the transport mechanisms of unwanted particles in cleanrooms. Historically, the ventilation rate is typically over-estimated, based on the experience of the designer, to ensure indoor air quality and thermal performance. However, the excess rate significantly impacts the system’s energy consumption. Hence, it is crucial to investigate existing recommendations to ensure if they have a scientific basis or could be proven theoretically before further implementations. Besides, any possible risks and influences associated with the traditional methods must be assessed to guarantee the facility’s performance, sustainability, and energy efficiency.","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"1 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70295126","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}