Aerosol and Air Quality Research最新文献

{"title":"Design of a Medium Scale Ambient PM2.5 Cleaning System","authors":"Sheng-Chieh Chen, Qingfeng Cao, T. Kuehn, Charles Lo, M. Sahu, Y. S. Mayya, D. Pui","doi":"10.4209/aaqr.220437","DOIUrl":"https://doi.org/10.4209/aaqr.220437","url":null,"abstract":"High concentrations of ambient particulate matter (PM) have caused millions of premature deaths annually worldwide. The source control strategy was normally implemented to bring the PM pollution down to meet the standards. However, it took more than 50 years for UK and US. As PM pollution is hurting people’s health on daily basis in many countries, a fast and inexpensive control technology should be developed to remedy the slow pace of source control. It should be applied in highly polluted areas, e","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":"70295900","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":"Evaluating Ultrafine Particles and PM2.5 in Microenvironments with Health Perspectives: Variability in Concentrations and Pollutant Interrelationships","authors":"Sheng Xiang, Shaojun Zhang, Yu Ting Yu, Hui Wang, Ye Deng, Qinwen Tan, Zi-hang Zhou, Ye Wu","doi":"10.4209/aaqr.230046","DOIUrl":"https://doi.org/10.4209/aaqr.230046","url":null,"abstract":"Regulation has been applied to the fine particles (PM 2.5 ) but not to particle number concentrations (PNC). We use a mobile platform to measure PNC and PM 2.5 in four microenvironments (diesel plume, urban freeway, urban street, and rural freeway). A total of 38661 pairs of measurements in two years (winter 2018 and autumn 2020) are used to evaluate variability in the pollutant concentrations and their interrelationships. Source-discerned total PNC ( PNC tot ) and temporal-adjusted PM 2.5 ( ∆ PM 2.5 ) are calculated and evaluated. Results showed that the average PNC tot in winter (4.8 × 10 4 pt cm –3 ) were over two times higher than autumn (0.36 × 10 4 –0.56 × 10 4 pt cm –3 ). Moreover, the traffic emissions ( PNC d,tr ) contribute 30% of the PNC throughout the study while solid fuel burning ( PNC d,sfb ) could be a major contributor only in winter (29%). Seasonal variability in PNC d,tr and PNC d,sfb was found, with 2–3 times higher median PNC d,tr and 7 times higher median PNC d,sfb in winter compared to autumn. Similarly, PM 2.5 in winter (109 µ g m –3 ) was 3–5 times higher than autumn, while ∆ PM 2.5 (40 µ g m –3 ) was 3–6 times higher. In winter, the PM 2.5 and ∆ PM 2.5 showed higher concentrations in urban street and rural freeway similar to PNC d,sfb but opposite to the trend of PNC tot and PNC d,tr . The correlation coefficient (R 2 ) is investigated as three combinations (i.e., PNC tot vs. PM 2.5 , PNC d,tr vs. ∆ PM 2.5 , PNC d,sfb vs. ∆ PM 2.5 ). Here, the R 2 showed a comparable seasonal trend (winter lower than autumn) and similar magnitude as the literature, but no strong correlation (R 2 < 0.15) was found. This stresses the fact that mitigation measures of PM 2.5 do not necessarily reduce PNC and monitoring networks evaluate PM 2.5 exposure are unlikely to represent PNC exposure. The concentration ratios in the three combinations are found to vary with microenvironments and seasons. This variability implies that control policies should be diversified with pollutant types and energy usage of the city.","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":"70296974","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 Composition and Mixing State of Fine Particles during Haze Periods in Yinchuan","authors":"Kangning Li, Yanqiu Ma, Liukun Li, Bin Huang","doi":"10.4209/aaqr.230116","DOIUrl":"https://doi.org/10.4209/aaqr.230116","url":null,"abstract":"In this study, we explored the chemical composition and mixing state of fine atmospheric particles in Yinchuan between December 21 and 31, 2021. For this, the single-particle aerosol mass spectrometry (SPAMS) technique was used. Black carbon particles were found to be the predominant aerosol type (in terms of number fraction) throughout the sampling period, accounting for 61.15% of all sampled particles. Considerable changes were noted in the mixing state of the fine particles in the study area. Furthermore, prominent mass spectrum characteristics of potassium particles were observed. The 39 K + signal in the positive mass spectrum was stronger than the other signals. Throughout the sampling process, K-rich and potassium-elemental carbon (KEC) particles accounted for 25.86% and 13.05% of all sampled particles, respectively, followed by OC and NaKEC, which accounted for 12.32% and 11.45%, respectively. With time, complex processes of aerosol concentration variation detected by SPAMS were observed. The number fractions of elemental carbon/organic carbon (ECOC) and KEC particles were significantly higher on polluted days than on clean days. ECOC and KEC particles were more mixed with sulfate and nitrate than EC and NaKEC particles. Compared with clean days, the particle size of each BC particle increased on polluted days. Furthermore, ECOC and KEC particles had larger particle sizes and stronger sulfate and nitrate signals than EC and NaKEC particles, which indicates that ECOC and KEC particles were mostly formed during the aging process. Local pollution events were associated with primary combustion emission and secondary particle generation.","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":"70297685","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":"Characterization of New Particle Formation in Soft X-ray Radiolysis Reactor: AMCs-to-Secondary Inorganic Aerosols","authors":"Jiyoon Shin, Kyungil Cho, Yoonkyeong Ha, Giwon Kang, Jihye Park, Hunkwan Park, Changhyuk Kim","doi":"10.4209/aaqr.220373","DOIUrl":"https://doi.org/10.4209/aaqr.220373","url":null,"abstract":"Airborne molecular contaminants (AMCs) in cleanrooms should be monitored and controlled tightly to reduce yield loss since they can be converted into nanoparticles or surface haze contamination on semiconductor chips or masks. Soft X-ray radiolysis was developed to detect AMCs as low as the ppt-level by forming secondary aerosols from AMCs under soft X-ray irradiation. However, new particle formation (NPF) using soft X-ray radiolysis has not been well investigated. In this study, we have developed a continuous flow tube reactor to understand NPF from AMCs using soft X-ray radiolysis. The reactor was designed to continuously maintain parabolic laminar flows within the tube reactor and to extend the exposure time of the gas molecules to soft X-rays by increasing the number of reactor modules. With the increase in the concentration of sulfur dioxide (SO 2 ), the size distribution of particles formed by soft X-ray radiolysis also showed enhanced NPF and subsequent particle growth. However, the conversion rates of SO 2 into particles decreased simultaneously. The NPF and subsequent particle growth in the reactor were also positively affected by the exposure time to soft X-rays and the residence time. The exposure time was controlled by the number of soft X-ray emitters, and the residence time in the reactor was adjusted by the number of reactor modules and the inlet flow rate. The mixture of ammonia (NH 3 ) with SO 2 stabilized the nucleation of particles formed from SO 2 but suppressed the particle growth. In contrast, nitrogen dioxide (NO 2 ) suppressed both nucleation and growth of particles formed from SO 2 . Among the parameters for controlling soft X-ray radiolysis, the soft X-ray intensity had the highest effect on the inorganic AMCs-to-nanoparticle conversion","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":"70295266","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":"Review of Decadal Changes in ASEAN Emissions Based on Regional and Global Emission Inventory Datasets","authors":"S. Roy, Y. Lam, S. S. Chopra, M. Hoque","doi":"10.4209/aaqr.220103","DOIUrl":"https://doi.org/10.4209/aaqr.220103","url":null,"abstract":"In Asia, anthropogenic emissions have increased substantially over the last decade from various sectors, including power generation (PG), industries, road transportation (RT), and residential. This study analyzed different regional (REAS, MIX-Asia) and global (EDGAR) emission inventory (EI) datasets to provide insight into ASEAN's comprehensive emission status (emission trend, sectoral and country-specific emissions, changes in spatial distribution) during 2000–2015. The study observed a considerable increase in SO 2 , NO x , CO, CO 2 , and particulate matter (PM) emissions in ASEAN during this period. Results analyzed from the EDGAR EI dataset (2015) show that among the pollutants, SO 2 , CO 2 , and N 2 O were substantially contributed by the PG sector (43.4–56%), while CO, NO x , NMVOC, and CH 4 were from the RT sector (35.6–61.5%), and PM and NH 3 emissions were from the residential sector (50–80.6%). Similar contributions were also observed in 2000 and 2010. It is apparent that these sectors contributed noticeably to the total Asian emission (i.e., 14–34% in 2010, based on the MIX-Asian dataset). We have observed increasing annual emission trends for most pollutants in ASEAN countries, with more significant emission growth in Vietnam (e.g., SO 2 and NO x emissions increased by 232% and 145%, respectively). Considerable changes in spatial emission distributions over the ASEAN between that period were also observed caused by the shifting of sparse development into concentrated urban expansion surrounding large metropolitan clusters. The information from this study will be vital for the ASEAN governments to review and update their approved/planned regulations on emission control with prioritizing the sectors aimed at air quality management and environmental sustainability.","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":"70292265","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":"Spatiotemporal Assessment of PM2.5 Exposure of a High-risk Occupational Group in a Southeast Asian Megacity","authors":"Jarl Tynan Collado, J. G. Abalos, Imee de los Reyes, M. Cruz, G. Leung, Katrina Abenojar, Carlos Rosauro Manalo, Bernell Go, Christine L. Chan, Charlotte Kendra Gotangco Gonzales, J. Simpas, E. Porio, J. Wong, S. Lung, M. Cambaliza","doi":"10.4209/aaqr.220134","DOIUrl":"https://doi.org/10.4209/aaqr.220134","url":null,"abstract":"Drivers of open-air public utility jeepneys (PUJs) in the Philippines are regularly exposed to severe levels of fine particulate pollution (PM 2.5 ), making them the appropriate sub-population for investigating the health impacts of PM 2.5 on populations chronically exposed to these kinds of unique sources. Real-time PM 2.5 exposures of PUJ drivers for a high-traffic route in Metro Manila, Philippines were assessed using Academia Sinica-LUNG (AS_LUNG) portable sensing devices. From all 15-second measurements obtained, the mean concentration of PM 2.5 is 36.4 µ g m –3 , seven times greater than the mean annual guideline value (5.0 µ g m –3 ) set by the World Health Organization (WHO). Elevated levels of PM 2.5 were observed at key transportation microenvironments (TMEs) such as a transport terminal and near a shopping mall. The occurrence of hotspots along the route is mainly attributed to traffic-promoting factors like stoplights and traffic rush hours. Multiple linear regression (MLR) analysis revealed that the area by the shopping mall had the highest contribution ( β = 52 µ g m –3 ) to PUJ driver exposure. To the best of our knowledge, this study is the first in the country to perform a detailed characterization of the exposure of a high-risk occupational group to PM 2.5 . These results reveal information that is normally undetected by fixed site monitoring (FSM), underscoring the importance of mobile measurements as a complement to FSM in assessing the exposure of urban populations to air pollution more extensively. Furthermore, this study demonstrates the heavy influence of traffic-promoting factors on air pollution, and the feasibility of high-resolution mobile sensing for quantifying pollution characteristics in rapidly developing nations with unique air pollution sources. Gaps in our knowledge of their health impacts may be closed through quantifying exposure using reliable sensing devices and methods presented in this work.","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":"70292792","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 Impact of Public Activity Restriction during COVID-19 to Air Quality in Urban Area of Bandung Measured Using Mobile Monitoring","authors":"Martin Adrian, Puji Lestari, Ferry Iskandar, M. Munir","doi":"10.4209/aaqr.220215","DOIUrl":"https://doi.org/10.4209/aaqr.220215","url":null,"abstract":"The COVID-19 outbreak impacted the people's lives in the world. Lockdown is one way of controlling the spread of the virus. In Indonesia, the government would rather implement public activity restriction than lockdown. The detailed comprehension of the effect of lockdown or similar policies on air pollution is valuable for making future policies about the control of pandemics as well as its effect on air quality. To understand the effect of public activity restriction (PAR) and its correlation with air pollution, mobile monitoring (MM) of particulate matter (PM 2.5 ) was performed in the urban area of Bandung, Indonesia, in July 2021. Based on MM using a bicycle, we found that a PAR had an impact on air pollution. Our result showed that there was a decrease between 20% and 30% in 3 of 6 sub-districts. The advantage of MM was highlighted by the prominent visualization of the concentration of PM 2.5 MM data at the level of the road. Localization of polluted roads could be seen clearly through the MM method. The uncovering effect of PAR on air pollution using the MM method will provide important insights for government and policymakers to develop future policy that controls air pollution for better citizen health.","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":"70293566","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":"Sources, Compositions, and Health Risks of PM2.5-bound PAHs at the Rural Area along with the “Coal to Gas” Law","authors":"Zhiyong Li, Ziyuan Yue, Wenjia Zhu, Wenquan Liu, Jintao Gao, Jiaqiang Zhang, Ziyi Zhan, Lan Chen, Huiying Gao, Jihong Wei","doi":"10.4209/aaqr.220352","DOIUrl":"https://doi.org/10.4209/aaqr.220352","url":null,"abstract":"The “Coal to Gas” (CTG) policy in north China markedly altered the characteristics of polycyclic aromatic hydrocarbons (PAHs) in PM 2.5 . Existing researches about CTG impacts on components, sources, and health risks of PM 2.5 -bound PAHs mainly focused on metropolitan area, whereas they were lacking in rural area of north China. Here, we deployed an intensive observation in winter of 2020 at a rural site in the central area of the Beijing-Tianjin-Hebei (BTH) region. A positive matrix factorization (PMF) model and an incremental lifetime cancer risk (ILCR) model were utilized to examine the PAH sources and health risks. Higher daily average PM 2.5 of 81.5 µ g m –3 in the sampling period than 75 µ g m –3 of the National Air Quality Standard Grade II indicated the air pollution in rural area was still serious. The total PAHs increased obviously from diurnal 86.2 ng m –3 to nocturnal 151 ng m –3 because of the nocturnal high intensity of heating, with the increases of 20.7%, 85.5%, and 76.3% for low, medium, and high molecular weight PAHs, respectively. Vehicular exhaust (VE), coal burning (CB), industrial source (IS), biomass burning (BB), and oil spill and leakages (OSL) were the main PAH contributors, with the average daily contributions of 32.7%, 21.5%, 18.3%, 15.9%, and 11.6%, respectively. Lower CC contribution of 27.6% in winter of 2020 than 27.6% in winter of 2019 indicated the positive role of CTG policy. However, the nocturnal CC fraction increased by 680% compared with the diurnal value, and CC had become the largest contributor in the nighttime. BB contribution was up to 18.3%, evidencing that biomass utility should be managed in term of the biomass burning was prohibited in BTH rural area. Moreover, the nocturnal average BaPeq equivalent concentration exhibited higher levels than those in the daytime. The nocturnal ILCR values of adults and children was 9.35 × 10 –6 and 2.66 × 10 –6 , exceeding the acceptable threshold, suggesting there was a potential carcinogenic risk.","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"100 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70294705","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":"Omicron Positivity in Air of Hospital Settings Gathered COVID-19 Patients, Vaccinated/Unvaccinated Populations","authors":"Zeynep Ece Kuloğlu, Zeynep Bengi Eren, Bedirhan Haykar, Cansel Vatansever, Tayfun Barlas, M. Kuşkucu, Gülen Güney-Esken, F. Can","doi":"10.4209/aaqr.220388","DOIUrl":"https://doi.org/10.4209/aaqr.220388","url":null,"abstract":"The Omicron variant spreads quicker than the earlier variants and can evade the immune response. The behavior changes and waning immunity could cause large numbers of COVID-19 infections and potential hospitalizations. Here, we present a cross-sectional/longitudinal study conducted in a tertiary hospital in Istanbul. In the cross-sectional part, we collected aerosol samples from clinical and public areas in the hospital. We performed qPCR and viral culture. In the pediatrics, outpatient clinic waiting room, where the children were without masks, and unvaccinated, 66% of the samples were positive for viral RNA. However, the positivity rate was 14% in the staff dining hall where everybody was without masks but fully vaccinated. The viral RNA was positive in 50% of the COVID-19 patient rooms, 33% of the febrile disease outpatient clinic, and 33% of the clinical laboratory waiting room. There was no viral growth in the culture of all samples. The highest viral load was detected in the COVID-19 patient room (3.60 × 10 10 PFU m –3 ), followed by the pediatrics outpatient clinic waiting room (2.8 × 10 8 PFU m –3 ). In the longitudinal study, samples were collected 0, 2.5, 4.5, and 24 hours after a meeting in which all attendees were wearing masks and three participants were diagnosed with COVID-19. Only one sample collected 24 hours after the meeting was weakly positive for the viral RNA (1.12 × 10 2 PFU m –3 ). In conclusion, mask use and vaccination are still the main effective methods for preventing the COVID-19 Omicron variant in indoor environments. Unvaccinated children are a significant source of air contamination and risk further transmission of COVID-19.","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":"70295162","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":"Any Long-term Effect of the Beirut Port Explosion on the Airborne Particulate Matter?","authors":"Yi-bo Zhao, N. Hayeck, N. Saliba, C. Schreiner, M. Zennegg, Fuze Jiang, R. Figi, Davide Bleiner, Jing Wang","doi":"10.4209/aaqr.220395","DOIUrl":"https://doi.org/10.4209/aaqr.220395","url":null,"abstract":"The Beirut port explosion in 2020 released a huge amount of chemicals including ammonium nitrate, however, the long-term effects of the explosion on air quality and public health remain unclear. In this study, particulate matter (PM 10 ) samples were collected in Beirut, Lebanon 1 month and 3 months after the explosion. The average concentrations of main anions measured in 2020 (one and three months after the explosion) were compared with those in 2009–2015 by calculating the percentage of difference, and the average concentrations of cations and anions in September (one month after the explosion) and November (three months after the explosion) 2020 were also compared to identify any abnormal values, indicating insignificant effects on the post-explosion PM in terms of component concentrations. That is, PM and gases directly induced by the explosion might be subject to rapid atmospheric transport and deposition. Hence, the results imply that investigations of the chemical contaminations in soil and water are urgently needed. Long-term monitoring is necessary to avoid subsequent air pollution caused by possible particle resuspension. The continuous demolition and reconstruction after the explosion are possibly the main long-term effect of the Beirut port explosion, causing an elevated concentration of PM 2.5 at ground level 400% higher than the recommended concentrations (15 µ g m –3 for 24-hour mean). Protective measures must be taken to reduce the exposure risks by controlling the PM release from demolition and construction, traffic, and diesel generators. The cancer risk in Beirut based on PAHs measurements in 2021 was also estimated and discussed","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":"70295433","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}