Yunting Zhao, W. Zheng, Simeng Ma, Weikai Kong, Bo Han, Jian Yu
{"title":"Impacts of PM on Indoor Air Quality of Airport Terminal Buildings in a Core City of North China Plain","authors":"Yunting Zhao, W. Zheng, Simeng Ma, Weikai Kong, Bo Han, Jian Yu","doi":"10.4209/aaqr.220357","DOIUrl":"https://doi.org/10.4209/aaqr.220357","url":null,"abstract":"With the economic growth and globalization, a great deal of airports are being or planned to be constructed or retrofitted in China. The air quality in airport terminal buildings has not been studied as in-depth as airport ambient air quality. Due to its unique architectural and operational characteristics, the airport terminal buildings have individual performance of indoor air quality. The contribution of outdoor particulate matter (PM) to indoor environment and passengers’ exposure to indoor PM is not well understood. The indoor (i","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":"70294843","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}
Han-Chuan Wu, Cong Liu, Chunze Cen, Chien-Er Huang, Sheng-Lun Lin
{"title":"Study on Dynamic Characteristics of Single Droplet Impingement on Heated Liquid Film","authors":"Han-Chuan Wu, Cong Liu, Chunze Cen, Chien-Er Huang, Sheng-Lun Lin","doi":"10.4209/aaqr.220366","DOIUrl":"https://doi.org/10.4209/aaqr.220366","url":null,"abstract":"","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"17 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70295199","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}
Han-Shi Chen, Kei-Iong Tam, Yu-Lin Zhao, Lan Yuan, Weiyi Wang, Merrisa Lin, P. Chiang
{"title":"Development of Environmental Action Plans for Adaptation to Climate Change: A Perspective of Air Quality Management","authors":"Han-Shi Chen, Kei-Iong Tam, Yu-Lin Zhao, Lan Yuan, Weiyi Wang, Merrisa Lin, P. Chiang","doi":"10.4209/aaqr.220377","DOIUrl":"https://doi.org/10.4209/aaqr.220377","url":null,"abstract":"The impacts of climate change on air quality (tropospheric ozone pollution, particulate matter pollution, atmospheric deposition effect, and extreme weather events) greatly threaten most creatures on the earth who need to breathe fresh and non-toxic air. To respond to the impacts of climate change concerning air, many countries have proposed corresponding adaptation plans to reduce these impacts. In this study, a Climate Change Adaptation Plan concerning Air (CCAP-Air) is proposed based on the summary of policies and strategies in developed countries (United States, United Kingdom, Germany, Japan","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":"70295330","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 Fingerprints and Source Profiles of PM10 and PM2.5 from Agricultural Soil in a Typical Polluted Region of Northwest China","authors":"Yaochuang Yu, Junji Cao","doi":"10.4209/aaqr.220419","DOIUrl":"https://doi.org/10.4209/aaqr.220419","url":null,"abstract":"Analysis of the chemical source profiles of agricultural soil dust (SD) can help accurately assess and apportion the contribution of agricultural sources to atmospheric particulate matter (PM). This study quantitatively analysed twenty-four elements, eight water-soluble ions, organic carbon (OC) and elemental carbon (EC) in PM 10 and PM 2.5 samples from agricultural resuspended SD to understand the chemical profiles of agricultural SD in Baoji city, Northwest China. The results showed that the elemental compositions in the PM 10 and PM 2.5 size fractions contributed 40.18% and 39.6%, respectively, followed by water-soluble ions (3.85% in PM 10 and 6.62% in PM 2.5 ) and carbonaceous fractions (3.46% in PM 10 and 2.36% in PM 2.5 ). The reconstructed crustal matter estimated from Al, Si, Ca, Ti, and Fe concentrations accounted for 79.58% and 78.8% of the total PM 10 and PM 2.5 , respectively, indicating that crustal matter may be the most significant contributor to agricultural SD PM 10 and PM 2.5 mass. Agricultural SD was influenced not only by the long-range transport of Asian dust but also by local anthropogenic sources. Higher Sc, As, Ca 2+ , NO 3– , and NH 4+ in PM 2.5 indicated that agricultural SD was strongly influenced by anthropogenic industrial and agricultural activities. The ratios of Si/Al, Ca/Al, K/Al, Fe/Al, and Ti/Fe in Baoji samples are basically consistent with those of Asian dust, indicating that the long-range transport of Asian dust had an important impact on the elemental composition of agricultural SD. Source identification found that higher NH 4+ /Al, NO 3– /Ca 2+ , NO 3– /SO 42– ratios, and OC can be considered possible source indicators.","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":"70295377","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":"Assessment of Malaysia-wide PM2.5 Forecasts from a Global Model","authors":"Z. Tan, M. T. Latif, M. Ashfold","doi":"10.4209/aaqr.220444","DOIUrl":"https://doi.org/10.4209/aaqr.220444","url":null,"abstract":"Airborne particulate matter with an aerodynamic diameter of less than 2.5 µ m (PM 2.5 ) is a major air pollutant worldwide. In Malaysia, transboundary ‘haze’ episodes with elevated PM 2.5 concentrations linked to fires are common, causing health and economic harms. To reduce impacts, forecasting PM 2.5 can enable effective PM 2.5 management and decision-making. Until now, PM 2.5 forecasts via a global mechanistic chemical transport model (CTM) have not been evaluated in the setting of Malaysia, where operational PM 2.5 forecasting systems for preventive warnings are not yet deployed. Hence, this study aims to evaluate the performance of PM 2.5 forecasts produced by a global CTM and to assess their suitability for use nation-wide in Malaysia. We used the surface PM 2.5 forecasts from the Copernicus Atmosphere Monitoring Service’s (CAMS) global atmospheric composition forecast dataset (CAMS-GACF) and evaluated them against hourly PM 2.5 observations recorded throughout Malaysia from 2018 to 2020 via exceedance and accuracy analyses. We found that cycle 46r1 CAMS-GACF performance in Malaysia was generally weaker (critical success index (CSI) = 31%, R 2 = 0.36) than reported in other studies (CSI = 20–54%, R 2 = 0.32–0.79) focused on other countries, across multiple metrics in both analyses. We found CAMS-GACF did not accurately capture local-scale spatiotemporal variations in PM 2.5 spatially and diurnally. However, we found CAMS-GACF captured better the increased regional PM 2.5 pollution during the transboundary ‘haze’ episode of 2019. Based on our findings, we also propose recommendations on integrating CAMS-GACF in early-warning systems in Malaysia and on improving forecasts via bias-correction.","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":"70295577","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":"Design of Round-Nozzle Inertial Impactors Review with Updated Design Parameters","authors":"F. Romay, Estíbaliz García-Ruiz","doi":"10.4209/aaqr.220436","DOIUrl":"https://doi.org/10.4209/aaqr.220436","url":null,"abstract":"Round-nozzle inertial impactors are widely used aerosol measuring instruments to characterize the mass and chemical composition of airborne aerosol particles as a function particle aerodynamic diameter. This article summarizes the most important design considerations with updated recommended design parameters taken from our review of published research articles and discusses some of the more common non-idealities seen in the operation and performance of inertial impactors. With this information, it is now possible to design a cascade impactor with near-ideal particle separation performance, and with stage cutpoints that can be predicted with excellent accuracy and verified experimentally using state-of-the-art calibration techniques.","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":"70295836","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":"Characterisation of the Aerodynamic Aerosol Classifier Transfer Function for Particle Sizes up to 5 Micrometres","authors":"Simon D. Payne, T. Johnson, J. Symonds","doi":"10.4209/aaqr.230008","DOIUrl":"https://doi.org/10.4209/aaqr.230008","url":null,"abstract":"The Aerodynamic Aerosol Classifier (AAC) classifies particles with the desired aerodynamic diameter by generating opposing centrifugal and drag forces on the particles using rotating concentric cylinders and a clean sheath flow. Particle transmission through the classifier is described by its transfer function, which is an important indicator of classifier performance. Characterisation of the classifier’s transfer function improves the accuracy of its common aerosol applications, such as measuring particle size distributions or providing classified particles to other aerosol instruments for calibration or further analysis. This characterisation is commonly achieved experimentally using a tandem set-up of the same classifier. While this approach was previously used to characterise the AAC’s transfer function for particle aerodynamic diameters up to 2.4 µ m using a nebuliser and a Condensation Particle Counter (CPC), the current study expands the AAC’s characterisation up to 5 µ m using a condensation aerosol generator and an Optical Particle Counter (OPC). This upper size range is significantly higher than that offered by other common aerosol classifiers, such as the approximate 1 µ m upper limit typical of the Differential Mobility Analyser (DMA), and it is well suited to many applications, including OPC calibration, bio-aerosols, drug delivery and inhalation studies, and atmospheric dust analysis. This study found that the AAC maintains its high transmission efficiency ( ≥ 60%) for particles up to 5 µ m and that its transfer function width factor increases (i.e., the distribution becomes narrower) as the aerodynamic diameter increases. Setpoint agreement between two different production AACs remained within 2% over the size range tested. Therefore, the AAC has excellent performance for classifying particles up to 5 µ m.","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":"70296459","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}
Siddharth Nobell, A. Majumdar, Shovon Mukherjee, Sukumar Chakraborty, Sanjoy Chatterjee, Soumitra Bose, Anindita Dutta, Sandhya Sethuraman, D. Westervelt, Shairik Sengupta, Rakhi Basu, V. McNeill
{"title":"Validation of In-field Calibration for Low-Cost Sensors Measuring Ambient Particulate Matter in Kolkata, India","authors":"Siddharth Nobell, A. Majumdar, Shovon Mukherjee, Sukumar Chakraborty, Sanjoy Chatterjee, Soumitra Bose, Anindita Dutta, Sandhya Sethuraman, D. Westervelt, Shairik Sengupta, Rakhi Basu, V. McNeill","doi":"10.4209/aaqr.230010","DOIUrl":"https://doi.org/10.4209/aaqr.230010","url":null,"abstract":"Low-cost sensors (LCS) provide opportunities for neighborhood-level air pollution data collection, yet significant knowledge gaps remain regarding the accurate application and interpretation of LCS. In this study, we present an in-field calibration of a network of 20 low-cost ambient particulate matter sensors (LCS) in greater Kolkata, India, operating between October 2018–April 2019. In order to understand LCS performance in relation to local reference-grade PM 2.5 monitors (RGMs), three of these LCS were co-located with RGMs operated by the West Bengal Pollution Control Board at Rabindra Bharati University (RBU), Victoria Memorial (VICTORIA), and Padmapukur (Howrah, PDM). Data from the co-locations were used to calibrate the LCS network using random forest regression and multiple linear regression approaches. Measured relative humidity and temperature were significant model features. Agreement between the LCS and RGM for 24-h averaged PM 2.5 measurements was strongest at RBU, with an uncalibrated root mean squared error (RMSE) of 27.1 µ g m –3 , followed by PDM (32.6 µ g m –3 ) and VICTORIA (50.7 µ g m –3 ). Multiple linear regression was used to derive calibration models. Cross-calibration between co-located LCS-RGM pairs was tested. The LCS data after cross-calibration correctly identified days as being in or out of attainment with the 24h National Ambient Air Quality Standard of 60 µ g m –3 91% of the time. The corrected data accurately identifies days with an India scale Air Quality Index of “poor” or worse 94% of the time. This suggests that LCS can be a useful supplement to RGM networks for air quality management. Diurnal trends and a high level of correlation across the hybrid LCS-RGM network suggest regional and secondary sources of PM 2.5 are important in Kolkata.","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":"70296519","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}
E. Vega, A. Wellens, A. L. Alarcón, R. Sosa, M. Solano, M. Jaimes-Palomera
{"title":"Spatiotemporal Variations in Chemical Composition of Wet Atmospheric Deposition in Mexico City","authors":"E. Vega, A. Wellens, A. L. Alarcón, R. Sosa, M. Solano, M. Jaimes-Palomera","doi":"10.4209/aaqr.230023","DOIUrl":"https://doi.org/10.4209/aaqr.230023","url":null,"abstract":"A comprehensive analysis of the chemical composition of wet atmospheric deposition was performed on 7048 samples collected between 2003 and 2021 over Mexico City. The descending ion abundance trend was NH 4+ > SO 42– > NO 3– > Ca 2+ > Cl – > H + > Mg 2+ > Na + > K + , probably associated with industrial activity, heavy traffic and agricultural activities. Although main precursors have decreased importantly, ion composition did not show a clear trend throughout the years. Maximum concentrations of major ions were found in the northern and central part of the megacity, due to the impact of the Tula industrial corridor located north of the city. Weekly pH values varied from 3.6 to 9.4, being 27.1% of the values acidic. Fractional acidity showed that in sites located at higher altitudes, maximum 84.5% of the acidity was neutralized, whereas at northern stations at lower altitudes neutralization was observed up to 98%, due to the presence of alkaline species coming from the cement industry. Average ratios of (NH 4+ + Ca 2+ )/(NO 3– + SO 42– ) were > 1, suggesting neutralization of SO 42– and NO 3– by NH 4+ and Ca 2+ . Average NO 3– /SO 42– ratios suggested that the acidity was mainly influenced by sulfates coming from H 2 SO 4 . Wet deposition ranged from 4–9.9 kg ha –1 year –1 and from 8.2– 17.6 kg ha –1 year –1 for sulfur and nitrogen, respectively, among the geographical areas. The results of this study highlight the sensitivity of wet deposition chemistry to geographical, elevation and source considerations.","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":"70296714","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}
F. Sung, Hei-Tung Yip, Cheng-Li Lin, J. Jeng, Jiunn‐Tay Lee, Yu Sun, Cheng-Yu Wei, Po-Yen Yeh, Kuang-Hsi Chang, Shang-Yu Chien, K. Hsu, Tsr team
{"title":"Risk of Stroke Associated with Temperature and PM2.5: Taiwan Stroke Registry-based Study","authors":"F. Sung, Hei-Tung Yip, Cheng-Li Lin, J. Jeng, Jiunn‐Tay Lee, Yu Sun, Cheng-Yu Wei, Po-Yen Yeh, Kuang-Hsi Chang, Shang-Yu Chien, K. Hsu, Tsr team","doi":"10.4209/aaqr.230131","DOIUrl":"https://doi.org/10.4209/aaqr.230131","url":null,"abstract":"This study aimed to assess seasonal stroke risks related to temperature and PM 2.5 in Taiwan. Using data of the Taiwan Stroke Registry and air pollution monitored in 2006–2017, the researchers estimated daily average ischemic and hemorrhagic strokes according to temperature and PM 2.5 levels, evaluating stroke risks by categorizing PM 2.5 levels in each temperature zone. The results revealed a higher incidence of ischemic strokes in February and a higher incidence of hemorrhagic strokes in January, both decreased to the lowest in July. The study found that incident strokes increased with the PM 2.5 level in each temperature zone except for the 30+ ° C stratum. The highest incidence of ischemic strokes appeared at PM 2.5 greater than 37.0 µ g m –3 during 20–24 ° C, whereas the highest incidence of hemorrhagic strokes appeared at PM 2.5 greater than 37.0 µ g m –3 at less than 15 ° C. No adjusted RRs of strokes were significantly associated with PM 2.5 in all temperature zones after controlling for sex, age, BMI, smoking and drinking. We conclude that stroke incidence decreases as the weather gets warmer, whereas PM 2.5 pollution may have little effect on stroke incidence. It is essential to keep warm during cold days.","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":"70297746","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}