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Ting YC, Huang CH, Cheng YH, Hsiao TC, Wei-Po Lai W, Ciou ZJ. Chemical characteristics and formation mechanism of secondary inorganic aerosols: The decisive role of aerosol acidity and meteorological conditions. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 358:124472. [PMID: 38945190 DOI: 10.1016/j.envpol.2024.124472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 06/26/2024] [Accepted: 06/27/2024] [Indexed: 07/02/2024]
Abstract
In recent years, there has been a growing concern about air pollution and its impact on the air quality and human health, especially for fine particulate matter (PM2.5) and its associated secondary aerosols in urban areas. This study conducted a year-long field campaign to collect PM2.5 samples day and night in an urban area of central Taiwan. Higher PM2.5 mass concentrations were observed in winter (27.7 ± 9.7 μg/m3), followed by autumn (22.5 ± 8.3 μg/m3), spring (19.2 ± 6.4 μg/m3), and summer (11.0 ± 3.1 μg/m3). The dominant formation mechanism of secondary inorganic aerosols was heterogeneous reactions of NO3- at night and homogeneous reactions of SO42- during the day. Additionally, significant correlations were observed between aerosol liquid water content (ALWC) and NO3- during nighttime, indicating the importance of aqueous-phase NO3- formation. The role of aerosol acidity was explored and a unique alkaline condition was found in spring and summer, which showed lower PM2.5 concentrations than the neutralized condition. Under the neutralized condition, higher PM2.5 concentrations were commonly found when combining the ammonium-rich regime with molar ratios of [NO3-]/[SO42-] exceeding 1.6, suggesting the importance of reducing both NH3 and NOx. Furthermore, the results showed that reducing NH3 should be prioritized under high temperature conditions, while reducing NOx became important under low temperature conditions. Clustering of backward trajectories showed that long-range transport could enhance the formation of secondary aerosols, but local emissions emerged as the main factor driving high PM2.5 concentrations. This study provides insights for policymakers to improve air quality, suggesting that different mitigation strategies should be formulated based on meteorological variables and that using clean energy for vehicles and electricity generation is important to alleviate air pollution.
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Affiliation(s)
- Yu-Chieh Ting
- Graduate Institute of Environmental Engineering, National Taiwan University, Taipei, Taiwan.
| | - Chuan-Hsiu Huang
- Graduate Institute of Environmental Engineering, National Taiwan University, Taipei, Taiwan
| | - Yu-Hsiang Cheng
- Department of Safety, Health and Environmental Engineering, Ming Chi University of Technology, New Taipei, Taiwan; Center for Environmental Sustainability and Human Health, Ming Chi University of Technology, New Taipei, Taiwan
| | - Ta-Chih Hsiao
- Graduate Institute of Environmental Engineering, National Taiwan University, Taipei, Taiwan; Research Centre for Environmental Changes, Academia Sinica, Taipei, Taiwan
| | - Webber Wei-Po Lai
- Department of Environmental Science and Engineering, Tunghai University, Taichung, Taiwan
| | - Zih-Jhe Ciou
- Graduate Institute of Environmental Engineering, National Taiwan University, Taipei, Taiwan
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Fu X, Wang X, Liu T, He Q, Zhang Z, Zhang Y, Song W, Dai Q, Chen S, Dong F. Secondary inorganic aerosols and aerosol acidity at different PM 2.5 pollution levels during winter haze episodes in the Sichuan Basin, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 918:170512. [PMID: 38286278 DOI: 10.1016/j.scitotenv.2024.170512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 01/25/2024] [Accepted: 01/26/2024] [Indexed: 01/31/2024]
Abstract
Wintertime fine particle (PM2.5) pollution remains to be perplexing air quality problems in many parts of China. In this study, PM2.5 compositions and aerosol acidity at different pollution levels at an urban cite in the southwest China's Sichuan Basin were investigated during a sustained winter haze episode. Organic matter was the most abundant component of PM2.5, followed by nitrate, sulfate and ammonium. Shares of organic aerosol in PM2.5 mass decreased with the elevated PM2.5 levels, while the enhancements of sulfate and secondary organic aerosol were much less than that of nitrate and ammonium during heavy pollution with increased ratios of nitrate to sulfate, implying a significant role of nitrate in the haze formation. Results also suggest the nighttime chemistry might contribute substantially to the formation of nitrate under severe pollutions. The daily average aerosol pH showed a decreasing trend with the elevated levels of PM2.5, and this increased aerosl acidity was mainly due to the fast rising secondary inorganic aerosol (SIA) concentration, with the increase in hydronium ion concentration in air (Hair+) surpassing the dilution effect of elevated aerosol liquid water content (LWC). Thermodynamic model calculations revealed that the air environment was NH3-rich with total NHx (NH3 + NH4+) greater than required NHx, and the aerosol pH exponentially declined with the decreasing excess NHx (p < 0.01). This study demonstrated that under air stagnation and NH3-rich environment during winter, the raised relative humidity (RH) would lead to an increase in LWC and thereby facilitate the aqueous chemistry processes with the neutralization capacity of NH3 to form sulfate and nitrate, which would further increase the LWC and lower the pH. This self-amplifying SIA formation might be crucial to the severe PM2.5 pollution and haze events during winter, and therefore cutting both NOx and NH3 emissions would benefit stopping the self-amplification.
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Affiliation(s)
- Xiaoxin Fu
- Key Laboratory of Solid Waste Treatment and Resource Recycle, Ministry of Education, Southwest University of Science and Technology, Mianyang 621010, China
| | - Xinming Wang
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China.
| | - Tengyu Liu
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
| | - Quanfu He
- Institute for Energy and Climate Research, IEK-8, Forschungszentrum Jülich, Jülich 52425, Germany
| | - Zhou Zhang
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Yanli Zhang
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Wei Song
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Qunwei Dai
- Key Laboratory of Solid Waste Treatment and Resource Recycle, Ministry of Education, Southwest University of Science and Technology, Mianyang 621010, China
| | - Shu Chen
- Key Laboratory of Solid Waste Treatment and Resource Recycle, Ministry of Education, Southwest University of Science and Technology, Mianyang 621010, China
| | - Faqin Dong
- Key Laboratory of Solid Waste Treatment and Resource Recycle, Ministry of Education, Southwest University of Science and Technology, Mianyang 621010, China
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Wang C, Luo L, Xu Z, Liu S, Li Y, Ni Y, Kao SJ. Assessment of Secondary Sulfate Aqueous-Phase Formation Pathways in the Tropical Island City of Haikou: A Chemical Kinetic Perspective. TOXICS 2024; 12:105. [PMID: 38393200 PMCID: PMC10892436 DOI: 10.3390/toxics12020105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 01/22/2024] [Accepted: 01/24/2024] [Indexed: 02/25/2024]
Abstract
Sulfate (SO42-) is an essential chemical species in atmospheric aerosols and plays an influential role in their physical-chemical characteristics. The mechanisms of secondary SO42- aerosol have been intensively studied in air-polluted cities. However, few studies have focused on cities with good air quality. One-year PM2.5 samples were collected in the tropical island city of Haikou, and water-soluble inorganic ions, as well as water-soluble Fe and Mn, were analyzed. The results showed that non-sea-salt SO42- (nss-SO42-) was the dominant species of water-soluble inorganic ions, accounting for 40-57% of the total water-soluble inorganic ions in PM2.5 in Haikou. The S(IV)+H2O2 pathway was the main formation pathway for secondary SO42- in wintertime in Haikou, contributing to 57% of secondary SO42- formation. By contrast, 54% of secondary SO42- was produced by the S(IV)+Fe×Mn pathway in summer. In spring and autumn, the S(IV)+H2O2, S(IV)+Fe×Mn, and S(IV)+NO2 pathways contributed equally to secondary SO42- formation. The ionic strength was the controlling parameter for the S(IV)+NO2 pathway, while pH was identified as a key factor that mediates the S(IV)+H2O2 and S(IV)+Fe×Mn pathways to produce secondary SO42-. This study contributes to our understanding of secondary SO42- production under low PM2.5 concentrations but high SO42- percentages.
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Affiliation(s)
- Chen Wang
- State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, China
| | - Li Luo
- State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, China
- College of Marine Science and Engineering, Hainan University, Haikou 570228, China
- Collaborative Innovation Center of Marine Science and Technology, Hainan University, Haikou 570228, China
| | - Zifu Xu
- State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen 361104, China
| | - Shuhan Liu
- State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, China
- College of Marine Science and Engineering, Hainan University, Haikou 570228, China
- Collaborative Innovation Center of Marine Science and Technology, Hainan University, Haikou 570228, China
| | - Yuxiao Li
- State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, China
| | - Yuanzhe Ni
- Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, China
| | - Shuh-Ji Kao
- State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, China
- Collaborative Innovation Center of Marine Science and Technology, Hainan University, Haikou 570228, China
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Xu B, Xu H, Zhao H, Gao J, Liang D, Li Y, Wang W, Feng Y, Shi G. Source apportionment of fine particulate matter at a megacity in China, using an improved regularization supervised PMF model. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 879:163198. [PMID: 37004775 DOI: 10.1016/j.scitotenv.2023.163198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/27/2023] [Accepted: 03/28/2023] [Indexed: 05/17/2023]
Abstract
The source apportionment of particulate matter plays an important role in solving the atmospheric particulate pollution. Positive matrix factorization (PMF) is a widely used source apportionment model. At present, high resolution online datasets are increasingly rich, but acquiring accurate and timely source apportionment results is still challenging. Integrating prior knowledge into modelling process is an effective solution and can yield reliable results. This study proposed an improved source apportionment method for the regularization supervised PMF model (RSPMF). This method leveraged actual source profile to guide factor profile for rapidly and automatically identifying source categories and quantifying source contributions. The results showed that the factor profile from RSPMF could be interpreted as seven factors and approach to actual source profile. Average source contributions were also an agreement between RSPMF and EPAPMF, including secondary nitrate (26 %, 27 %), secondary sulfate (23 %, 24 %), coal combustion (18 %, 18 %), vehicle exhaust (15 %, 15 %), biomass burning (10 %, 9 %), dust (5 %, 4 %), industrial emission (3 %, 3 %). The solutions of RSPMF also exhibited good generalizability during different episodes. This study reveals the superiority of supervised model, this model embeds prior knowledge into modelling process to guide model for obtaining more reliable results.
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Affiliation(s)
- Bo Xu
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, PR China; CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER), College of Environmental Science and Engineering, Nankai University, Tianjin 300350, PR China
| | - Han Xu
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, PR China; CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER), College of Environmental Science and Engineering, Nankai University, Tianjin 300350, PR China
| | - Huan Zhao
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, PR China; CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER), College of Environmental Science and Engineering, Nankai University, Tianjin 300350, PR China
| | - Jie Gao
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, PR China; CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER), College of Environmental Science and Engineering, Nankai University, Tianjin 300350, PR China
| | - Danni Liang
- Air Pollution Control Technology Development and Industrialization Center, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, PR China
| | - Yue Li
- College of Computer Science, Nankai University, Tianjin 300350, PR China
| | - Wei Wang
- College of Computer Science, Nankai University, Tianjin 300350, PR China
| | - Yinchang Feng
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, PR China; CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER), College of Environmental Science and Engineering, Nankai University, Tianjin 300350, PR China
| | - Guoliang Shi
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, PR China; CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER), College of Environmental Science and Engineering, Nankai University, Tianjin 300350, PR China.
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5
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Barzgar F, Sadeghi-Mohammadi S, Aftabi Y, Zarredar H, Shakerkhatibi M, Sarbakhsh P, Gholampour A. Oxidative stress indices induced by industrial and urban PM 2.5-bound metals in A549 cells. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 877:162726. [PMID: 36914132 DOI: 10.1016/j.scitotenv.2023.162726] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 02/19/2023] [Accepted: 03/04/2023] [Indexed: 05/06/2023]
Abstract
The detrimental effects of atmospheric fine particulate matter (PM2.5) on human health are of major global concern. PM2.5-bound metals are toxic compounds that contribute to cellular damage. To investigate the toxic effects of water-soluble metals on human lung epithelial cells and their bioaccessibility to lung fluid, PM2.5 samples were collected from both urban and industrial areas in the metropolitan city of Tabriz, Iran. Oxidative stress indices, including proline content, total antioxidant capacity (TAC), cytotoxicity, and DNA damage levels of water-soluble components of PM2.5, were evaluated. Furthermore, an in vitro test was conducted to assess the bioaccessibility of various PM2.5-bound metals to the respiratory system using simulated lung fluid. PM2.5 average concentrations in urban and industrial areas were 83.11 and 97.71 μg/m3, respectively. The cytotoxicity effects of PM2.5 water-soluble constituents from urban areas were significantly higher than in industrial areas and the IC50 was found to be 96.76 ± 3.34 and 201.31 ± 5.96 μg/mL for urban and industrial PM2.5 samples, respectively. In addition, higher PM2.5 concentrations increased the proline content in a concentration-dependent manner in A549 cells, which plays a protective role against oxidative stress and prevents PM2.5-induced DNA damage. Also, the partial least squares regression revealed that Be, Cd, Co, Ni, and Cr, were significantly correlated with DNA damage and proline accumulation, which caused cell damage through oxidative stress. The results of this study showed that PM2.5-bound metals in highly polluted metropolitan city caused substantial changes in the cellular proline content, DNA damage levels and cytotoxicity in human lung A549 cells.
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Affiliation(s)
- Fatemeh Barzgar
- Health and Environment Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; Department of Environmental Health Engineering, School of Public Health, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Sanam Sadeghi-Mohammadi
- Tuberculosis and Lung Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Younes Aftabi
- Tuberculosis and Lung Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
| | - Habib Zarredar
- Tuberculosis and Lung Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mohammad Shakerkhatibi
- Health and Environment Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Parvin Sarbakhsh
- Department of Statistics and Epidemiology, School of Public Health, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Akbar Gholampour
- Health and Environment Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; Department of Environmental Health Engineering, School of Public Health, Tabriz University of Medical Sciences, Tabriz, Iran.
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Xiao K, Wang Q, Lu S, Lin Y, Enyoh CE, Chowdhury T, Rabin MH, Islam MR, Guo Y, Wang W. Pollution levels and health risk assessment of potentially toxic metals of size-segregated particulate matter in rural residential areas of high lung cancer incidence in Fuyuan, China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:2869-2889. [PMID: 36088450 DOI: 10.1007/s10653-022-01374-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 08/22/2022] [Indexed: 06/01/2023]
Abstract
The highest incidence and mortality rate of lung cancer in rural area of Fuyuan has been a research hotspot, and the pathogenesis is still unclear. Therefore, atmospheric particulate matters (APMs) samples were collected between 18 February and 01 March 2017, exploring water-soluble potentially toxic metals (WSPTMs) and water-soluble inorganic ionic species (WSIIs) levels, size distribution, sources, acidity and alkalinity, and potential carcinogenic and non-carcinogenic risks, hoping to provide scientific basic data to solve this problem. In our study, the average ratio of nitrate ion (NO3-)/sulfate ion (SO42-) within PM1.1, PM1.1-2.0, PM2.0-3.3, PM3.3-7.0, and PM>7.0 were 0.22, 0.18, 0.15, 0.34 and 0.36, respectively, that revealed that combustion sources contributed to PM were more significant. The anions in equilibrium (ANE) / cations in equilibrium (CAE) < 1 for all samples within PM1.1, PM2.0-3.3, PM3.3-7.0 indicate that the APMs were alkaline, but PM1.1-2.0 particulate matter shows weak acidity. SO42- prefers to combine with NH4+ to form (NH4)2SO4, which hinders the formation of NH4NO3, the remaining SO42- and NO3- to neutralize the K+, KNO3 was formed at all particulate, however, K2SO4 can only be formed in PM<3.3. Arsenic (As) and Selenium (Se) were identified as the most enriched WSPTMs in all PM sizes, predominantly from anthropogenic emissions, were suggested that coal combustion is a significant source of PM-bound WSPTMs. Total WSPTMs exhibited high total carcinogenic risks (TCR) values (9.98 × 10-6, 1.06 × 10-5, and 1.19 × 10-5 for girls, boys and adults, respectively) in the smaller particles (< 1.1 μm). Se was considered as the major contributor (63.60%) to carcinogenic risk (CR) in PM2.0 and had an inverse relationship with PM size that should be of prime concern.
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Affiliation(s)
- Kai Xiao
- Graduate School of Science and Engineering, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama City, Saitama, 338-8570, Japan
| | - Qingyue Wang
- Graduate School of Science and Engineering, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama City, Saitama, 338-8570, Japan.
| | - Senlin Lu
- School of Environmental and Chemical Engineering, Shanghai University, 99 Shangdalu, Baoshan district, Shanghai city, 200-444, China
| | - Yichun Lin
- Graduate School of Science and Engineering, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama City, Saitama, 338-8570, Japan
| | - Christian Ebere Enyoh
- Graduate School of Science and Engineering, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama City, Saitama, 338-8570, Japan
| | - Tanzin Chowdhury
- Graduate School of Science and Engineering, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama City, Saitama, 338-8570, Japan
| | - Mominul Haque Rabin
- Graduate School of Science and Engineering, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama City, Saitama, 338-8570, Japan
| | - Md Rezwanul Islam
- Graduate School of Science and Engineering, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama City, Saitama, 338-8570, Japan
| | - Yue Guo
- Graduate School of Science and Engineering, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama City, Saitama, 338-8570, Japan
| | - Weiqian Wang
- Graduate School of Science and Engineering, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama City, Saitama, 338-8570, Japan
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Wang N, Zhou L, Feng M, Song T, Zhao Z, Song D, Tan Q, Yang F. Progressively narrow the gap of PM 2.5 pollution characteristics at urban and suburban sites in a megacity of Sichuan Basin, China. J Environ Sci (China) 2023; 126:708-721. [PMID: 36503796 DOI: 10.1016/j.jes.2022.05.017] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 05/07/2022] [Accepted: 05/09/2022] [Indexed: 06/17/2023]
Abstract
Nowadays, the fine particle pollution is still severe in some megacities of China, especially in the Sichuan Basin, southwestern China. In order to understand the causes, sources, and impacts of fine particles, we collected PM2.5 samples and analyzed their chemical composition in typical months from July 2018 to May 2019 at an urban and a suburban (background) site of Chengdu, a megacity in this region. The daily average concentrations of PM2.5 ranged from 5.6-102.3 µg/m3 and 4.3-110.4 µg/m3 at each site. Secondary inorganics and organic matters were the major components in PM2.5 at both sites. The proportion of nitrate in PM2.5 has exceeded sulfate and become the primary inorganic component. SO2 was easier to transform into sulfate in urban areas because of Mn-catalytic heterogeneous reactions. In contrast, NO2 was easily converted in suburbs with high aerosol water content. Furthermore, organic carbon in urban was much greater than that in rural, other than elemental carbon. Element Cr and As were the key cancer risk drivers. The main sources of PM2.5 in urban and suburban areas were all secondary aerosols (42.9%, 32.1%), combustion (16.0%, 25.2%) and vehicle emission (15.2%, 19.2%). From clean period to pollution period, the contributions from combustion and secondary aerosols increased markedly. In addition to tightening vehicle controls, urban areas need to restrict emissions from steel smelters, and suburbs need to minimize coal and biomass combustion in autumn and winter.
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Affiliation(s)
- Ning Wang
- College of Architecture and Environment, Sichuan University, Chengdu 610065, China
| | - Li Zhou
- College of Architecture and Environment, Sichuan University, Chengdu 610065, China.
| | - Miao Feng
- Chengdu Academy of Environmental Sciences, Chengdu 610072, China
| | - Tianli Song
- College of Architecture and Environment, Sichuan University, Chengdu 610065, China
| | - Zhuoran Zhao
- College of Architecture and Environment, Sichuan University, Chengdu 610065, China
| | - Danlin Song
- Chengdu Academy of Environmental Sciences, Chengdu 610072, China
| | - Qinwen Tan
- Chengdu Academy of Environmental Sciences, Chengdu 610072, China
| | - Fumo Yang
- College of Architecture and Environment, Sichuan University, Chengdu 610065, China.
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8
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Zhang S, Hu J, Xiao G, Chen S, Wang H. Urban particulate air pollution linked to dyslipidemia by modification innate immune cells. CHEMOSPHERE 2023; 319:138040. [PMID: 36739990 DOI: 10.1016/j.chemosphere.2023.138040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 01/29/2023] [Accepted: 01/31/2023] [Indexed: 06/18/2023]
Abstract
Air particulate matter (PM) is an essential risk factor for lipid metabolism disorders. However, the underlying mechanism remains unclear. In this cross-sectional study, 216 healthcare workers were recruited to estimate the associations among the daily exposure dose (DED) of air PM, innate immune cells, and plasma lipid levels. All participants were divided into two groups according to the air particulate combined DED (DED-PMC). The peripheral white blood cell counts, lymphocyte counts, and monocyte counts and percentages were higher in the higher-exposure group (HEG) than in the lower-exposure group (LEG), whereas the percentage of natural-killer cells was lower in the HEG than in the LEG. The plasma concentrations of the total cholesterol, triglycerides, LDL-C, and apolipoprotein B were higher in the HEG than in the LEG, whereas the HDL-C and apolipoprotein A1 were lower in the HEG than in the LEG. A dose-effect analysis indicated that when the DED of the air PM increased, there were increased peripheral monocyte counts and percentages, a decreased NK cell percentage, elevated plasma concentrations of total cholesterol, triglycerides, LDL-C, and apolipoprotein B, and reduced plasma levels of HDL-C and apolipoprotein A1. In addition, the modification of the innate immune cells was accompanied by alterations in the plasma lipid levels in a dose-dependent manner. Mediation effect analysis suggested innate immune cells were the potential mediators for the associations among air PM exposure on abnormal lipid metabolism. These results indicated that chronic exposure to air PM may disturb lipid metabolism by altering the distribution of innate immune cells in the peripheral blood, ultimately advancing cardiovascular disease risk.
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Affiliation(s)
- Shaocheng Zhang
- Department of Clinical Laboratory Medicine, Suining Central Hospital, Suining, 629000, Sichuan, China
| | - Juan Hu
- Department of Clinical Laboratory Medicine, Suining Central Hospital, Suining, 629000, Sichuan, China
| | - Guangjun Xiao
- Department of Clinical Laboratory Medicine, Suining Central Hospital, Suining, 629000, Sichuan, China
| | - Shu Chen
- Department of Clinical Laboratory Medicine, Suining Central Hospital, Suining, 629000, Sichuan, China
| | - Huanhuan Wang
- School of Laboratory Medicine, Chengdu Medical College, Chengdu, 610500, Sichuan, China.
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9
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Liu S, Geng G, Xiao Q, Zheng Y, Liu X, Cheng J, Zhang Q. Tracking Daily Concentrations of PM 2.5 Chemical Composition in China since 2000. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:16517-16527. [PMID: 36318737 PMCID: PMC9670839 DOI: 10.1021/acs.est.2c06510] [Citation(s) in RCA: 64] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
PM2.5 chemical components play significant roles in the climate, air quality, and public health, and the roles vary due to their different physicochemical properties. Obtaining accurate and timely updated information on China's PM2.5 chemical composition is the basis for research and environmental management. Here, we developed a full-coverage near-real-time PM2.5 chemical composition data set at 10 km spatial resolution since 2000, combining the Weather Research and Forecasting-Community Multiscale Air Quality modeling system, ground observations, a machine learning algorithm, and multisource-fusion PM2.5 data. PM2.5 chemical components in our data set are in good agreement with the available observations (correlation coefficients range from 0.64 to 0.75 at a monthly scale from 2000 to 2020 and from 0.67 to 0.80 at a daily scale from 2013 to 2020; most normalized mean biases within ±20%). Our data set reveals the long-term trends in PM2.5 chemical composition in China, especially the rapid decreases after 2013 for sulfate, nitrate, ammonium, organic matter, and black carbon, at the rate of -9.0, -7.2, -8.1, -8.4, and -9.2% per year, respectively. The day-to-day variability is also well captured, including evolutions in spatial distribution and shares of PM2.5 components. As part of Tracking Air Pollution in China (http://tapdata.org.cn), this daily-updated data set provides large opportunities for health and climate research as well as policy-making in China.
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Affiliation(s)
- Shigan Liu
- Department
of Earth System Science, Ministry of Education Key Laboratory for
Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing100084, China
| | - Guannan Geng
- State
Key Joint Laboratory of Environment Simulation and Pollution Control,
School of Environment, Tsinghua University, Beijing100084, China
- State
Environmental Protection Key Laboratory of Sources and Control of
Air Pollution Complex, Beijing100084, China
| | - Qingyang Xiao
- State
Key Joint Laboratory of Environment Simulation and Pollution Control,
School of Environment, Tsinghua University, Beijing100084, China
| | - Yixuan Zheng
- Center
of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, Beijing100012, China
| | - Xiaodong Liu
- State
Key Joint Laboratory of Environment Simulation and Pollution Control,
School of Environment, Tsinghua University, Beijing100084, China
| | - Jing Cheng
- Department
of Earth System Science, Ministry of Education Key Laboratory for
Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing100084, China
| | - Qiang Zhang
- Department
of Earth System Science, Ministry of Education Key Laboratory for
Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing100084, China
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10
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Hassan SK, Alghamdi MA, Khoder MI. Effect of restricted emissions during COVID-19 on atmospheric aerosol chemistry in a Greater Cairo suburb: Characterization and enhancement of secondary inorganic aerosol production. ATMOSPHERIC POLLUTION RESEARCH 2022; 13:101587. [PMID: 36340245 PMCID: PMC9627639 DOI: 10.1016/j.apr.2022.101587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 10/17/2022] [Accepted: 10/26/2022] [Indexed: 06/16/2023]
Abstract
To prevent the rapid spreading of the COVID-19 pandemic, the Egyptian government had imposed partial lockdown restrictions which led emissions reduction. This served as ideal conditions for a natural experiment, for study the effect of partial lockdown on the atmospheric aerosol chemistry and the enhanced secondary inorganic aerosol production in a semi-desert climate area like Egypt. To achieve this objective, SO2, NO2, and PM2.5 and their chemical compositions were measured during the pre-COVID, COVID partial lockdown, and post-COVID periods in 2020 in a suburb of Greater Cairo, Egypt. Our results show that the SO2, NO2, PM2.5 and anthropogenic elements concentrations follow the pattern pre-COVID > post-COVID > COVID partial lockdown. SO2 and NO2 reductions were high compared with their secondary products during the COVID partial lockdown compared with pre-COVID. Although, PM2.5, anthropogenic elements, NO2, SO2, SO4 2-, NO3 -, and NH4 + decreased by 39%, 38-55%, 38%, 32.9%. 9%, 14%, and 4.3%, respectively, during the COVID partial lockdown compared with pre-COVID, with the secondary inorganic ions (SO4 2-, NO3 -, and NH4 +) being the dominant components in PM2.5 during the COVID partial lockdown. Moreover, the enhancement of NO3 - and SO4 2- formation during the COVID partial lockdown was high compared with pre-COVID. SO4 2- and NO3 - formation enhancements were significantly positive correlated with PM2.5 concentration. Chemical forms of SO4 2- and NO3 - were identified in PM2.5 based on their NH4 +/SO4 2- molar ratio and correlation between NH4 + and both NO3 - and SO4 2-. The particles during the COVID partial lockdown were more acidic than those in pre-COVID.
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Affiliation(s)
- Salwa K Hassan
- Air Pollution Research Department, Environmental and Climate Change Research Institute, National Research Centre, El Behooth Str., Dokki, Giza, 12622, Egypt
| | - Mansour A Alghamdi
- Department of Environmental Sciences, Faculty of Meteorology, Environment and Arid Land Agriculture, King Abdulaziz University, P.O. Box 80208, Jeddah, 21589, Saudi Arabia
| | - Mamdouh I Khoder
- Air Pollution Research Department, Environmental and Climate Change Research Institute, National Research Centre, El Behooth Str., Dokki, Giza, 12622, Egypt
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11
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Pan S, Qiu Y, Li M, Yang Z, Liang D. Recent Developments in the Determination of PM 2.5 Chemical Composition. BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2022; 108:819-823. [PMID: 35386005 PMCID: PMC8986018 DOI: 10.1007/s00128-022-03510-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 03/16/2022] [Indexed: 06/14/2023]
Abstract
Fine particulate matter (named PM2.5) has become a prominent and dangerous form of air pollution. The chemical composition of PM2.5 mainly includes inorganic elements, water soluble ions, elemental carbon (EC), organic carbon (OC), and organic compounds. The detection method for inorganic elements mainly includes X ray fluorescence, inductively coupled plasma-atomic emission spectrometry, and inductively coupled plasma mass spectrometry. As for water soluble ions, ion chromatography is the most common detection method. EC and OC are usually detected by carbon analyzer. The organic compounds are determined by gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry. In this paper, the merits and drawbacks of each analytical methods for the determination of PM2.5 chemical composition are summarized. This review also includes our discussion on the improvement of the analytical accuracy for the determination of PM2.5 chemical composition owing to the development of reference materials.
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Affiliation(s)
- Susu Pan
- Division of Ecology Environment and Energy Resources, Beijing Institute of Metrology, Beijing, 100012, China
| | - Yanting Qiu
- Key Laboratory of Groundwater Resources and Environment of the Ministry of Education, Jilin University, Changchun, 130012, China
| | - Ming Li
- Division of Chemical Metrology & Analytical Science, National Institute of Metrology, Beijing, 100029, China
| | - Zhenqi Yang
- Division of Ecology Environment and Energy Resources, Beijing Institute of Metrology, Beijing, 100012, China
| | - Dapeng Liang
- Key Laboratory of Groundwater Resources and Environment of the Ministry of Education, Jilin University, Changchun, 130012, China.
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12
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Zhao X, Wang J, Xu B, Zhao R, Zhao G, Wang J, Ma Y, Liang H, Li X, Yang W. Causes of PM 2.5 pollution in an air pollution transport channel city of northern China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:23994-24009. [PMID: 34820758 DOI: 10.1007/s11356-021-17431-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 11/04/2021] [Indexed: 06/13/2023]
Abstract
To develop effective mitigation policies, a comprehensive understanding of the evolution of the chemical composition, formation mechanisms, and the contribution of sources at different pollution levels is required. PM2.5 samples were collected for 1 year from August 2016 to August 2017 at an urban site in Zibo, then chemical compositions were analyzed. Secondary inorganic aerosols (SNA), anthropogenic minerals (MIN), and organic matter (OM) were the most abundant components of PM2.5, but only the mass fraction of SNA increased as the pollution evolved, implying that PM2.5 pollution was caused by the formation of secondary aerosols, especially nitrate. A more intense secondary transformation was found in the heating season (from November 15, 2016, to March 14, 2017), and a faster secondary conversion of nitrate than sulfate was discovered as the pollution level increased. The formation of sulfate was dominated by heterogeneous reactions. High relative humidity (RH) in polluted periods accelerated the formation of sulfate, and high temperature in the non-heating season also promoted the formation of sulfate. Zibo city was under ammonium-rich conditions during polluted periods in both seasons; therefore, nitrate was mainly formed through homogeneous reactions. The liquid water content increased significantly as the pollution levels increased when the RH was above 80%, indicating that the hygroscopic growth of aerosol aggravated the PM2.5 pollution. Source apportionment showed that PM2.5 was mainly from secondary aerosol formation, road dust, coal combustion, and vehicle emissions, contributing 36.6%, 16.5%, 14.7%, and 13.1% of PM2.5 mass, respectively. The contribution of secondary aerosol formation increased remarkably with the deterioration of air quality, especially in the heating season.
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Affiliation(s)
- Xueyan Zhao
- State Key Laboratory of Coal Resources and Safe Mining, College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China
- Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Jing Wang
- State Key Laboratory of Coal Resources and Safe Mining, College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China
- Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Bo Xu
- Zibo Eco-Environmental Monitoring Center of Shandong Province, Zibo, 255000, China
| | - Ruojie Zhao
- Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Guangjie Zhao
- State Key Laboratory of Coal Resources and Safe Mining, College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China
| | - Jian Wang
- Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Yinhong Ma
- Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Handong Liang
- State Key Laboratory of Coal Resources and Safe Mining, College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China
| | - Xianqing Li
- State Key Laboratory of Coal Resources and Safe Mining, College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China.
| | - Wen Yang
- Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
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13
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Zhang S, Chen S, Xiao G, Zhao M, Li J, Dong W, Hu J, Yuan T, Li Y, Liu L. The associations between air pollutant exposure and neutralizing antibody titers of an inactivated SARS-CoV-2 vaccine. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:13720-13728. [PMID: 34599446 PMCID: PMC8486374 DOI: 10.1007/s11356-021-16786-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 09/23/2021] [Indexed: 06/13/2023]
Abstract
Air pollution is a critical risk factor for the prevalence of COVID-19. However, few studies have focused on whether air pollution affects the efficacy of the SARS-CoV-2 vaccine. To better guide the knowledge surrounding this vaccination, we conducted a cross-section study to identify the relationships between air pollutant exposure and plasma neutralizing antibody (NAb) titers of an inactivated SARS-CoV-2 vaccine (Vero cell, CoronaVac, SINOVΛC, China). We recruited 239 healthcare workers aged 21-50 years who worked at Suining Central Hospital. Of these, 207 were included in this study, depending on vaccination date. The data regarding air pollutants were collected to calculate individual daily exposure dose (DED). The geometric mean of all six pollutant DEDs was applied to estimate the combined toxic effects (DEDcomplex). Then, the participants were divided into two groups based on the mean value of DEDcomplex. The median plasma NAb titer was 12.81 AU/mL, with 85.99% vaccine efficacy in healthcare workers against SARS-CoV-2. In exposure group, observations included lower plasma NAb titers (median: 11.13 AU/mL vs. 14.56 AU/mL), more peripheral counts of white blood cells and monocytes (mean: 6.71 × 109/L vs. 6.29 × 109/L and 0.49 × 109/L vs. 0.40 × 109/L, respectively), and a higher peripheral monocyte ratio (7.38% vs. 6.50%) as compared to the reference group. In addition, elevated air pollutant DEDs were associated with decreased plasma NAb titers. To our knowledge, this study is the first to report the relationship between air pollutant exposure and plasma NAb titers of the SARS-CoV-2 vaccine. This suggests that long-term exposure to air pollutants may inhibit plasma NAb expression by inducing chronic inflammation. Therefore, to achieve early herd immunity and hopefully curb the COVID-19 epidemic, vaccinations should be administered promptly to those eligible, and environmental factors should be considered as well.
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Affiliation(s)
- Shaocheng Zhang
- Department of Clinical Laboratory Medicine, Suining Central Hospital, 127 Deshengxi Rd., Suining, 629000, Sichuan, People's Republic of China.
| | - Shu Chen
- Department of Clinical Laboratory Medicine, Suining Central Hospital, 127 Deshengxi Rd., Suining, 629000, Sichuan, People's Republic of China
| | - Guangjun Xiao
- Department of Clinical Laboratory Medicine, Suining Central Hospital, 127 Deshengxi Rd., Suining, 629000, Sichuan, People's Republic of China
| | - Mingcai Zhao
- Department of Clinical Laboratory Medicine, Suining Central Hospital, 127 Deshengxi Rd., Suining, 629000, Sichuan, People's Republic of China
| | - Jia Li
- Department of Clinical Laboratory Medicine, Suining Central Hospital, 127 Deshengxi Rd., Suining, 629000, Sichuan, People's Republic of China
| | - Wenjuan Dong
- Department of Public Health Administration and Health Education, Suining Central Hospital, Suining, 629000, Sichuan, People's Republic of China
| | - Juan Hu
- Department of Clinical Laboratory Medicine, Suining Central Hospital, 127 Deshengxi Rd., Suining, 629000, Sichuan, People's Republic of China
| | - Tianqi Yuan
- Maccura Biotechnology Co. Ltd., Chengdu, 611731, Sichuan, People's Republic of China
| | - Yong Li
- Maccura Biotechnology Co. Ltd., Chengdu, 611731, Sichuan, People's Republic of China
| | - Lianghua Liu
- Department of Clinical Laboratory Medicine, Suining Central Hospital, 127 Deshengxi Rd., Suining, 629000, Sichuan, People's Republic of China
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Chansuebsri S, Kraisitnitikul P, Wiriya W, Chantara S. Fresh and aged PM 2.5 and their ion composition in rural and urban atmospheres of Northern Thailand in relation to source identification. CHEMOSPHERE 2022; 286:131803. [PMID: 34364233 DOI: 10.1016/j.chemosphere.2021.131803] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 07/30/2021] [Accepted: 08/03/2021] [Indexed: 06/13/2023]
Abstract
This study aims to investigate ion composition of PM2.5 in various sites and seasons and to identify the main sources on spatial and temporal basis. PM2.5 compositions of two urban and two rural areas in Northern Thailand in 2019 were investigated to distinguish urban traffic and rural open burning sources. During the burning season, average PM2.5 concentrations in rural areas (104 ± 45 μg m-3) were slightly higher than those in urban areas (94 ± 39 μg m-3). Source identification of PM2.5 by cluster analysis during burning season in urban sites and one rural site revealed mixed sources of aged aerosols from biomass burning, traffic and transboundary pollution, characterized by (NH4)2SO4 and KNO3. Only PM2.5 in one rural area (Chiang Dao), where intense open burning activities observed, contained significant KCl level in addition to other compounds. KCl is being used as a tracer for fresh aerosols from biomass burning as opposes to KNO3 for aged aerosols. It was found that KNO3 proportion in total ions increased with PM2.5 concentrations both in urban and rural areas, indicating prominent open burning influences in regional scale. Source identification in other seasons was more distinguishable between urban and rural areas, and more varied depending on local emissions. Urban PM2.5 sources were secondary inorganic aerosols from traffic gas conversion in contrast with rural PM2.5 which were mainly from biomass burning.
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Affiliation(s)
- Sarana Chansuebsri
- Environmental Science Research Center, Faculty of Science, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Pavidarin Kraisitnitikul
- Environmental Science Research Center, Faculty of Science, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Wan Wiriya
- Environmental Science Research Center, Faculty of Science, Chiang Mai University, Chiang Mai, 50200, Thailand; Environmental Chemistry Research Laboratory, Department of Chemistry, Faculty of Science, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Somporn Chantara
- Environmental Science Research Center, Faculty of Science, Chiang Mai University, Chiang Mai, 50200, Thailand; Environmental Chemistry Research Laboratory, Department of Chemistry, Faculty of Science, Chiang Mai University, Chiang Mai, 50200, Thailand.
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15
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Shuai H, Wang J, Wang X, Du G. Black Talc-Based TiO 2/ZnO Composite for Enhanced UV-Vis Photocatalysis Performance. MATERIALS 2021; 14:ma14216474. [PMID: 34771998 PMCID: PMC8585283 DOI: 10.3390/ma14216474] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 10/15/2021] [Accepted: 10/18/2021] [Indexed: 12/03/2022]
Abstract
Herein, using black talc as a carrier, a ternary black talc-TiO2/ZnO composite photocatalyst was prepared by the sol-gel method, and the effect of the black talc on the hetero-structure properties of the TiO2 and ZnO was systematically studied. The prepared composite photocatalyst showed an excellent degradation performance of the pollutant, where black talc plays an important role in promoting the interface interaction by enhancing the contact area between the TiO2 and ZnO. Moreover, the free carbon element doping in black talc favors the formation of more oxygen vacancies, thereby improving the response as a photocatalyst in visible light. In addition, the carbon in the black talc can also adsorb organic pollutants and enrich the surroundings of the photocatalyst with pollutants, so it further improves the catalytic efficiency of the photocatalyst. Under UV irradiation, the degradation rate of Rhodamine B on black talc-TiO2/ZnO was found 3.3 times higher than that of black talc-TiO2 with good stability.
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Affiliation(s)
- Huan Shuai
- School of Materials Science and Technology, China University of Geosciences, Beijing 100083, China;
- School of Basic Education, Beijing Polytechnic College, Beijing 100042, China
| | - Jiao Wang
- School of Basic Education, Beijing Polytechnic College, Beijing 100042, China
- Correspondence: (J.W.); (X.W.); (G.D.)
| | - Xianguang Wang
- Jiangxi Mineral Resources Guarantee Service Center, Nanchang 330025, China
- Correspondence: (J.W.); (X.W.); (G.D.)
| | - Gaoxiang Du
- School of Materials Science and Technology, China University of Geosciences, Beijing 100083, China;
- Correspondence: (J.W.); (X.W.); (G.D.)
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16
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Preparation of TiO 2/Black Talc Composite Photocatalyst and the Research on Its Adsorption-Degradation Coupling Effects. MATERIALS 2021; 14:ma14206038. [PMID: 34683626 PMCID: PMC8540955 DOI: 10.3390/ma14206038] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 09/22/2021] [Accepted: 09/24/2021] [Indexed: 11/17/2022]
Abstract
In this paper, a TiO2/black talc composite photocatalyst was prepared by the sol-gel method using TBOT as titanium source and black talc as carrier. Rhodamine B was used as the targeted pollutant to study the adsorption role of carbon in black talc. The results showed that with the adsorption-degradation cycles, the illumination time can be reduced by 40%. The adsorption rate and degradation rate of the composite photocatalyst was also increased. The degradation rate of Rhodamine B reached more than 95%, which fully shows the synergistic effect between TiO2 nanoparticles and black talc. In this way, the adsorption-degradation coupling of the photocatalyst could be realized.
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17
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Mass Concentration, Chemical Composition, and Source Characteristics of PM2.5 in a Plateau Slope City in Southwest China. ATMOSPHERE 2021. [DOI: 10.3390/atmos12050611] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
In order to investigate the seasonal variations in the chemical characteristics of PM2.5 at the plateau slope of a mountain city in southwest China, 178 PM2.5 filters (89 quartz and 89 Teflon samples for PM2.5) were collected to sample the urban air of Wenshan in spring and autumn 2016 at three sites. The mass concentrations, water-soluble inorganic ions, organic and inorganic carbon concentrations, and inorganic elements constituting PM2.5 were determined, principal component analysis was used to identify potential sources of PM2.5, and the backward trajectory model was used to calculate the contribution of the long-distance transmission of air particles to the Wenshan area. The average concentration of PM2.5 in spring and autumn was 44.85 ± 10.99 μg/m3. Secondary inorganic aerosols contributed 21.82% and 16.50% of the total PM2.5 in spring and autumn, respectively. The daily mean value of OC/EC indicated that the measured SOC content was generated by the photochemical processes active during the sampling days. However, elements from anthropogenic sources (Ti, Si, Ca, Fe, Al, K, Mg, Na, Sb, Zn, P, Pb, Mn, As and Cu) accounted for 99.38% and 99.24% of the total inorganic elements in spring and autumn, respectively. Finally, source apportionment showed that SIA, dust, industry, biomass burning, motor vehicle emissions and copper smelting emissions constituted the major components in Wenshan. This study is the first to investigate the chemical characterizations and sources of PM2.5 in Wenshan, and it provides effective support for local governments formulating air pollution control policies.
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18
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Wang H, Zhang L, Cheng I, Yao X, Dabek-Zlotorzynska E. Spatiotemporal trends of PM 2.5 and its major chemical components at urban sites in Canada. J Environ Sci (China) 2021; 103:1-11. [PMID: 33743892 DOI: 10.1016/j.jes.2020.09.035] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 09/29/2020] [Accepted: 09/29/2020] [Indexed: 05/22/2023]
Abstract
To evaluate the effectiveness of emission control regulations designed for reducing air pollution, chemically resolved PM2.5 data have been collected across Canada through the National Air Pollution Surveillance network in the past decade. 24-hr time integrated PM2.5 collected at seven urban and two rural sites during 2010-2016 were analyzed to characterize geographical and seasonal patterns and associated potential causes. Site-specific seven-year mean gravimetric PM2.5 mass concentrations ranged from 5.7 to 9.6 µg/m3. Seven-year mean concentrations of SO42-, NO3-, NH4+, organic carbon (OC), and elemental carbon (EC) were in the range of 0.68 to 1.6, 0.21 to 1.5, 0.27 to 0.71, 1.1 to 1.9, and 0.37 to 0.71 µg /m3, accounting for 10.8%-18.1%, 3.7%-16.7%, 4.7%-7.4%, 18.4%-21.0%, and 6.4%-10.6%, respectively, of gravimetric PM2.5 mass. PM2.5 and its five major chemical components showed higher concentrations in southeastern Canada and lower values in Atlantic Canada, with the seven-year mean ratios between the two regions being on the order of 1.7 for PM2.5 and 1.8-7.1 for its chemical components. When comparing the concentrations between urban and rural sites within the same region, those of SO42- and NH4+ were comparable, while those of NO3-, OC, and EC were around 20%, 40%-50%, and 70%-80%, respectively, higher at urban than rural sites, indicating the regional scale impacts of SO42- and NH4+ and effects of local sources on OC and EC. Monthly variations generally showed summertime peaks for SO42- and wintertime peaks for NO3-, but those of NH4+, OC, and EC exhibited different seasonality at different locations.
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Affiliation(s)
- Huanbo Wang
- School of Environment and Resource, Southwest University of Science and Technology, Mianyang 621010, China
| | - Leiming Zhang
- Air Quality Research Division, Science and Technology Branch, Environment and Climate Change Canada, Toronto, Canada.
| | - Irene Cheng
- Air Quality Research Division, Science and Technology Branch, Environment and Climate Change Canada, Toronto, Canada
| | - Xiaohong Yao
- Lab of Marine Environmental Science and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, China
| | - Ewa Dabek-Zlotorzynska
- Air Quality Research Division, Science and Technology Branch, Environment and Climate Change Canada, Ottawa, Canada
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19
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Tang M, Wang Y, Tang D, Xiu P, Yang Z, Chen Y, Wang H. Influence of the PM 2.5 Water-Soluble Compound on the Biophysical Properties of A549 Cells. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2021; 37:4042-4048. [PMID: 33754728 DOI: 10.1021/acs.langmuir.1c00522] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Understanding the influence of fine atmospheric particles (PM2.5) on cellular biophysical properties is an integral part for comprehending the mechanisms underlying PM2.5-induced diseases because they are closely related to the behaviors and functions of cells. However, hitherto little work has been done in this area. In the present work, we aimed to interrogate the influence of the PM2.5 water-soluble compound (PM2.5-WSC) on the biophysical performance of a human lung carcinoma epithelial cell line (A549) by exploring the cellular morphological and mechanical changes using atomic force microscopy (AFM)-based imaging and nanomechanics. AFM imaging showed that PM2.5-WSC treated cells exhibited evidently reduced lamellipodia and an increased height when compared to the control group. AFM nanomechanical measurements indicated that the treated cells had higher elastic energy and lower adhesion work than the control group. Our western blot assay and transmission electron microscopy (TEM) results revealed that after PM2.5-WSC treatment, the contents of cytoskeletal components (β-actin and β-tubulin) increased, but the abundance of cell surface microvilli decreased. The biophysical changes of PM2.5-WSC-treated cells measured by AFM can be well correlated to the alterations of the cytoskeleton and surface microvilli identified by the western blot assay and TEM imaging. The above findings confirm that the adverse risks of PM2.5 on cells can be reliably assessed biophysically by characterizing the cellular morphology and nanomechanics. The demonstrated technique can be used to diminish the gap of our understanding between PM2.5 and its harmful effects on cellular functions.
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Affiliation(s)
- Mingjie Tang
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing 400714, China
| | - Yan Wang
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing 400714, China
| | - Dongyun Tang
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing 400714, China
| | - Peng Xiu
- Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, China
| | - Zhongbo Yang
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing 400714, China
| | - Yang Chen
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Huabin Wang
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing 400714, China
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Zhang S, Chen X, Wang J, Dai C, Gou Y, Wang H. Particulate air pollution and respiratory Haemophilus influenzae infection in Mianyang, southwest China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:10.1007/s11356-021-13103-5. [PMID: 33638077 DOI: 10.1007/s11356-021-13103-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 02/18/2021] [Indexed: 02/05/2023]
Abstract
Particulate air pollution is correlated with many respiratory diseases. However, few studies have focused on the relationship between air particulate exposure and respiratory Heamophilus influenzae infection. Therefore, we detected respiratory Heamophilus influenzae infection by bacterial culture of sputum of patients, and we collected particulate air pollution data (including PM2.5 and PM10) from a national real-time urban air quality platform to analyze the relationship between particulate air pollution and respiratory Heamophilus influenzae infection. The mean concentrations of PM2.5 and PM10 were 37.58 μg/m3 and 58.44 μg/m3, respectively, showing particulate air pollution remains a severe issue in Mianyang. A total of 828 strains of Heamophilus influenzae were detected in sputum by bacterial culture. Multiple correspondence analysis suggested the heaviest particulate air pollution and the highest Heamophilus influenzae infection rates were all in winter, while the lowest particulate air pollution and the lowest Heamophilus influenzae infection rates were all in summer. In a single-pollutant model, each elevation of 10 μg/m3 of PM2.5, PM10, and PM2.5/10 (combined exposure level) increased the risk of respiratory Heamophilus influenzae infection by 34%, 23%, and 29%, respectively. Additionally, in the multiple-pollutant model, only PM2.5 was significantly associated with respiratory Heamophilus influenzae infection (B, 0.46; 95% confidence interval, 0.05-0.87), showing PM2.5 is an independent risk factor for respiratory Heamophilus influenzae infection. In summary, this study highlights air particulate exposure could increase the risk of respiratory Heamophilus influenzae infection, implying that stronger measures need to be taken to protect against respiratory infection induced by particulate air pollution.
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Affiliation(s)
- Shaocheng Zhang
- Department of Clinical Laboratory Medicine, Suining Central Hospital, Suining, 629000, Sichuan, China
| | - Xi Chen
- Department of Clinical Laboratory Medicine, Mianyang Central Hospital, 12 Changjia Lane, Jingzhong St, Mianyang, 621000, Sichuan, China.
| | - Jing Wang
- Department of Clinical Laboratory Medicine, Mianyang Central Hospital, 12 Changjia Lane, Jingzhong St, Mianyang, 621000, Sichuan, China
| | - Chunmei Dai
- Department of Clinical Laboratory Medicine, Mianyang Central Hospital, 12 Changjia Lane, Jingzhong St, Mianyang, 621000, Sichuan, China
| | - Yeran Gou
- Department of Respiratory and Critical Care Medicine, Chengdu Second People's Hospital, Chengdu, 610017, Sichuan, China
| | - Huanhuan Wang
- Department of Cell Biology and Genetics, Shantou University Medical College, 22 Xinling Rd, Shantou, 515041, Guangdong, China.
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Qian R, Zhang S, Peng C, Zhang L, Yang F, Tian M, Huang R, Wang Q, Chen Q, Yao X, Chen Y. Characteristics and potential exposure risks of environmentally persistent free radicals in PM 2.5 in the three gorges reservoir area, Southwestern China. CHEMOSPHERE 2020; 252:126425. [PMID: 32197172 DOI: 10.1016/j.chemosphere.2020.126425] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 02/24/2020] [Accepted: 03/03/2020] [Indexed: 05/16/2023]
Abstract
Environmentally persistent free radicals (EPFRs) are a novel class of hazardous substances that can exist stably in airborne particles for a period ranging from days to weeks and are potentially toxic to human health. Electron paramagnetic resonance spectroscopy (EPR) was used to characterize particulate EPFRs in Wanzhou in the Three Gorges Reservoir area in 2017. During the whole of 2017, the average concentration of particulate EPFRs was 7.0 × 1013 ± 1.7 × 1013 spins/m3. The seasonal concentration of EPFRs in PM2.5 showed a trend of autumn > winter > spring > summer. The maxima and minima of EPFRs occurred in spring with concentrations of 2.1 × 1014 spins/m3 and 9.4 × 1012 spins/m3 respectively. The EPFRs in PM2.5 were mainly carbon-centered radicals with adjacent oxygen atoms. Significant positive correlations were found between EPFRs and SO42-, NO3- and NH4+ (r > 0.55, n = 111), indicating that EPFRs are associated with secondary sources. The atmospheric processing of particles from coal combustion, traffic, and agriculture were important sources of EPFRs. They were also particularly well correlated with K+ and Cl- in winter, suggesting that EPFRs may also be derived from wintertime biomass burning emissions. The amount of inhalable EPFRs in Wanzhou was equivalent to the range of 2.3-6.8 cigarettes per capita per day. This study provides evidence of the potential health risks of EPFRs in PM2.5, and references for air pollution control in the Three Gorges Reservoir area.
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Affiliation(s)
- Ruozhi Qian
- Research Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China; Chongqing Key Laboratory of Water Environment Evolution and Pollution Control in Three Gorges Reservoir, Chongqing Three Gorges University, Wanzhou, 404000, China
| | - Shumin Zhang
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637000, Sichuan, China
| | - Chao Peng
- Research Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
| | - Liuyi Zhang
- Chongqing Key Laboratory of Water Environment Evolution and Pollution Control in Three Gorges Reservoir, Chongqing Three Gorges University, Wanzhou, 404000, China
| | - Fumo Yang
- Research Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China; National Engineering Research Center for Flue Gas Desulfurization, College of Architecture and Environment, Sichuan University, Chengdu, 610065, China
| | - Mi Tian
- Research Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China; School of Urban Construction and Environmental Engineering, Chongqing University, Chongqing, 400044, China
| | - Rujin Huang
- State Key Laboratory of Loess and Quaternary Geology (SKLLQG), And Key Laboratory of Aerosol Chemistry and Physics (KLACP), Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710075, China
| | - Qiyuan Wang
- State Key Laboratory of Loess and Quaternary Geology (SKLLQG), And Key Laboratory of Aerosol Chemistry and Physics (KLACP), Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710075, China
| | - Qingcai Chen
- School of Environmental Science and Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, China
| | - Xiaojiang Yao
- Research Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
| | - Yang Chen
- Research Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China.
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Juda-Rezler K, Reizer M, Maciejewska K, Błaszczak B, Klejnowski K. Characterization of atmospheric PM 2.5 sources at a Central European urban background site. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 713:136729. [PMID: 32028552 DOI: 10.1016/j.scitotenv.2020.136729] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 01/13/2020] [Accepted: 01/14/2020] [Indexed: 06/10/2023]
Abstract
For the purposes of this work, a first in Poland, full-year collection of daily PM2.5 (particulate matter with aerodynamic diameter smaller than 2.5 μm) samples was chemically analyzed to determine the contents of elemental and organic carbon, water-soluble inorganic ions and 21 minor and trace elements in PM in an urban background site in Warsaw. Annual mean PM2.5 concentration reached 18.8 μg/m3, with the lowest levels in summer (11.5 μg/m3 on average) and the highest in winter (27.5 μg/m3), with several episodes reaching over 80 μg/m3. Strong seasonal differences were observed mainly for the contents of nitrate and secondary organic carbon (SOC), while sulphate showed the least variability. Secondary species constituted on average 45% of PM2.5 mass, suggesting large influence of regional and long-range transport of pollutants. Source apportionment with the use of positive matrix factorization (PMF) method, supported by the analysis of enrichment factors, led to identification of six main sources of PM2.5 origin: residential combustion (fresh & aged aerosol) (46% of PM2.5 mass), traffic exhaust (21%) and non-exhaust (10%) emissions, mineral dust/construction works (12%), high-temperature processes (8%) and steel processing (3%). Including primary organic carbon (POC) and SOC as two separate constituents helped to distinguish between the primary and secondary sources of the aerosol. The identification of sources was also supported by investigating their yearly and weekly profiles, as well as the correlation of PM constituents with meteorological conditions, which are one of the main drivers of heat generation activities. We found that the most distinctive markers of PM sources in Warsaw are SOC, Cl- and As for residential combustion, NH4+, Sb and POC for road transport, Ca and Mg for construction works and SO42- for long-range transport of PM.
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Affiliation(s)
- Katarzyna Juda-Rezler
- Warsaw University of Technology, Faculty of Building Services, Hydro and Environmental Engineering, 20 Nowowiejska Str., 00-653 Warsaw, Poland.
| | - Magdalena Reizer
- Warsaw University of Technology, Faculty of Building Services, Hydro and Environmental Engineering, 20 Nowowiejska Str., 00-653 Warsaw, Poland.
| | - Katarzyna Maciejewska
- Warsaw University of Technology, Faculty of Building Services, Hydro and Environmental Engineering, 20 Nowowiejska Str., 00-653 Warsaw, Poland.
| | - Barbara Błaszczak
- Institute of Environmental Engineering of the Polish Academy of Sciences, 34 M. Skłodowska-Curie Str., 41-819 Zabrze, Poland.
| | - Krzysztof Klejnowski
- Institute of Environmental Engineering of the Polish Academy of Sciences, 34 M. Skłodowska-Curie Str., 41-819 Zabrze, Poland.
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Long T, Peng B, Yang Z, Ishimwe CS, Tang C, Zhao N, Lin H, Zhong K, Zhong S. Spatial Distribution and Formation Mechanism of Water-soluble Inorganic Ions in PM 2.5 During a Typical Winter Haze Episode in Guilin, China. ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2020; 78:367-376. [PMID: 31894348 DOI: 10.1007/s00244-019-00699-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Accepted: 12/16/2019] [Indexed: 06/10/2023]
Abstract
A 5-day PM2.5 sampling campaign was conducted during a typical haze episode from December 16 to 20, 2016, at five urban sites and one background site in Guilin, a famous tourist city in Southern China. A total of 30 PM2.5 samples were collected, and water-soluble inorganic ions (WSII) (SO42-, NO3-, NH4+, Ca2+, K+, Cl-, Na+, and Mg2+) were determined using ion chromatography. Correlation analysis, principal component analysis, and coefficient of divergence were applied to identify the formation mechanisms of secondary inorganic ions, potential sources, and spatial distribution of WSII. The average mass concentrations of PM2.5 at each sampling site were 71.6-127.85 μg m-3, which were more than the National Ambient Air Quality Standard (GB3095-2012, GradeII (35 μg m-3)) in China. SO42- NO3-, and NH4+ were the major WSII, accounting for 34.43-40.59% of PM2.5 mass. NO3-/SO42- ratio revealed that stationary sources-induced PM2.5 was still remarkable. Cl-/Na+ ratio and their strong correlation (r = 0.824) indicated that atmospheric transport from outside urban region played an effective role during the haze episode. Spatial variations of WSII are not pronounced at five urban sites except the background site. High relative humidity and O3 contributed to evidently influence the transformation of SO2 to SO42- but not obvious to NOx oxidation. Finally, the major sources of WSII are identified as the mixture of sea salt, coal combustion, biomass burning, vehicle exhaust and agricultural emissions (66.892%), and fugitive sources (19.7%).
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Affiliation(s)
- Tengfa Long
- Institute of Environmental Science and Engineering, School of Metallurgy and Environment, Central South University, Changsha, 410083, Hunan, China.
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, China.
- College of Environment and Resource, Guangxi Normal University, 15th YuCai St. QiXing District, Guilin, 541004, China.
| | - Bin Peng
- Institute of Environmental Science and Engineering, School of Metallurgy and Environment, Central South University, Changsha, 410083, Hunan, China
- Chinese National Engineering Research Center for Control and Treatment of Heavy Metal Pollution, Changsha, 410083, Hunan, China
| | - Zhihui Yang
- Institute of Environmental Science and Engineering, School of Metallurgy and Environment, Central South University, Changsha, 410083, Hunan, China
- Chinese National Engineering Research Center for Control and Treatment of Heavy Metal Pollution, Changsha, 410083, Hunan, China
| | - Cynthia Sabrine Ishimwe
- Institute of Environmental Science and Engineering, School of Metallurgy and Environment, Central South University, Changsha, 410083, Hunan, China
- Chinese National Engineering Research Center for Control and Treatment of Heavy Metal Pollution, Changsha, 410083, Hunan, China
| | - Chongjian Tang
- Institute of Environmental Science and Engineering, School of Metallurgy and Environment, Central South University, Changsha, 410083, Hunan, China
- Chinese National Engineering Research Center for Control and Treatment of Heavy Metal Pollution, Changsha, 410083, Hunan, China
| | - Ning Zhao
- College of Environment and Resource, Guangxi Normal University, 15th YuCai St. QiXing District, Guilin, 541004, China
| | - Hong Lin
- College of Environment and Resource, Guangxi Normal University, 15th YuCai St. QiXing District, Guilin, 541004, China
| | - Kai Zhong
- College of Environment and Resource, Guangxi Normal University, 15th YuCai St. QiXing District, Guilin, 541004, China
| | - Shan Zhong
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, China
- College of Environment and Resource, Guangxi Normal University, 15th YuCai St. QiXing District, Guilin, 541004, China
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Feng X, Li Q, Tao Y, Ding S, Chen Y, Li XD. Impact of Coal Replacing Project on atmospheric fine aerosol nitrate loading and formation pathways in urban Tianjin: Insights from chemical composition and 15N and 18O isotope ratios. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 708:134797. [PMID: 31784160 DOI: 10.1016/j.scitotenv.2019.134797] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 09/29/2019] [Accepted: 10/02/2019] [Indexed: 06/10/2023]
Abstract
The 'Coal Replacing Project' (CRP), replacing coal with cleaner energy like natural gas and electricity, was implemented in North China to curb PM2.5 pollution; therefore, it is important to explore the sources and transformation mechanisms of PM2.5 nitrate under this strategy for examining its effectiveness. In this study, daytime and nighttime PM2.5 samples of one summer (Jul-2016, C1) and two winters (Jan-2017, C2 and Jan-2018, C3, before and during the CRP, respectively) were collected in urban Tianjin. Concentrations of PM2.5 and water-soluble inorganic ions were analyzed, and δ15N and δ18O were used to calculate the contributions of different NOX sources to nitrate based on a Bayesian mixing model. The results showed that the average concentrations of PM2.5 and its dominant inorganic ions (SO42-, NO3-, NH4+) in C3 during the CRP, compared to C2, decreased by 62.13%, 79.69%, 55.14% and 38.84%, respectively, attesting the improvement of air quality during the CRP. According to the correlation between [NO3-/SO42-] and [NH4+/SO42-] as well as δ18O variations, the homogeneous formation pathway might be dominant in C1, while the heterogeneous pathway would be primary in C2 and C3 during the formation of nitrate. Moreover, the heterogeneous pathway contributed more in C3 than in C2. The dominant sources in C1 were biogenic soil emission (37.0% ± 9.9%) and mobile emission (25.7% ± 19.1%), while coal combustion (42.4% ± 13.8% in C2 and 34.9% ± 14.4% in C3) and biomass burning (31.0% ± 21.2% and 34.7% ± 22.7%) were the main sources in C2 and C3. In the winter, the contribution of coal combustion dropped by about 8% during the CRP (C3) in comparison with that in C2, suggesting the implementation of CRP played an important role in reducing NOX from coal combustion.
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Affiliation(s)
- Xiaoqing Feng
- Institute of Surface-Earth System Science, Tianjin University, Tianjin 300072, PR China
| | - Qinkai Li
- Institute of Surface-Earth System Science, Tianjin University, Tianjin 300072, PR China
| | - Yuele Tao
- Institute of Surface-Earth System Science, Tianjin University, Tianjin 300072, PR China
| | - Shiyuan Ding
- Institute of Surface-Earth System Science, Tianjin University, Tianjin 300072, PR China; Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin 300072, PR China
| | - Yingying Chen
- Institute of Surface-Earth System Science, Tianjin University, Tianjin 300072, PR China
| | - Xiao-Dong Li
- Institute of Surface-Earth System Science, Tianjin University, Tianjin 300072, PR China; Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin 300072, PR China.
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25
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Wang HH, Zhang SC, Wang J, Chen X, Yin H, Huang DY. Combined toxicity of outdoor air pollution on kidney function among adult women in Mianyang City, southwest China. CHEMOSPHERE 2020; 238:124603. [PMID: 31442773 DOI: 10.1016/j.chemosphere.2019.124603] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Revised: 07/26/2019] [Accepted: 08/15/2019] [Indexed: 02/06/2023]
Abstract
Environmental pollution is a risk factor for kidney dysfunction. However, the combined toxicity of air pollutants on kidney function is scarce. We estimated the relationship between combined toxicity of air pollutants and kidney function among adult women (n = 7071, 18-65 years old) in Mianyang City, Southwest China. We measured serum concentrations of uric acid, urea, creatinine, and cystatin C, and we calculated the individual estimated glomerular filtration rate (eGFR) using a cystatin C-based equation developed specifically for Chinese patients with CKD equation. Air pollution data were collected to calculate the individual average daily dose (ADD) of pollutants based on the air quality complex index (AQCI). Mean AQCI was higher in winter and lower in summer, and followed the monthly and seasonal trends of air pollutants. Concomitantly, individual ADD was also higher in winter and lower in summer, and the seasonal differences were reflected in the levels of kidney biomarkers (including uric acid, urea, creatinine, cystatin C, and eGFR). With an interquartile range (IQR: 1.04-1.50 m3/day/kg) increases of ADD, the serum concentrations of uric acid, urea, creatinine, and cystatin C increase [B (95%CI): 1.774 (0.318, 3.231) umol/L, 0.218 (0.1888, 0.247) mmol/L, 1.501 (1.016, 1.986) umol/L, and 0.006 (0.003, 0.009) mg/L, respectively], whereas eGFR decreases [B (95%CI): -0.776 (-1.106, -0.446) mL/min/1.73 m2]. Totally, the relationship between combined toxicity of air pollutants and kidney function in Chinese adult women suggests that the toxicity of combined air pollutants inversely affects kidney function, which might accelerate the risk of CKD.
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Affiliation(s)
- Huan-Huan Wang
- Department of Cell Biology and Genetics, Key Laboratory of Molecular Biology in High Cancer Incidence Coastal Chaoshan Area of Guangdong Higher Education Institutes, Shantou University Medical College, Shantou, 515041, Guangdong, China; Department of Clinical Laboratory Medicine, Mianyang Central Hospital, Mianyang, 621000, Sichuan, China
| | - Shao-Cheng Zhang
- Department of Clinical Laboratory Medicine, Mianyang Central Hospital, Mianyang, 621000, Sichuan, China; Laboratory of Environmental Medicine and Developmental Toxicology, Shantou University Medical College, Shantou, 515041, Guangdong, China
| | - Jing Wang
- Department of Clinical Laboratory Medicine, Mianyang Central Hospital, Mianyang, 621000, Sichuan, China
| | - Xi Chen
- Department of Clinical Laboratory Medicine, Mianyang Central Hospital, Mianyang, 621000, Sichuan, China
| | - Heng Yin
- Department of Nephrology, Mianyang Central Hospital, Mianyang, 621000, Sichuan, China
| | - Dong-Yang Huang
- Department of Cell Biology and Genetics, Key Laboratory of Molecular Biology in High Cancer Incidence Coastal Chaoshan Area of Guangdong Higher Education Institutes, Shantou University Medical College, Shantou, 515041, Guangdong, China.
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Ma X, Xiao Z, He L, Shi Z, Cao Y, Tian Z, Vu T, Liu J. Chemical Composition and Source Apportionment of PM 2.5 in Urban Areas of Xiangtan, Central South China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16040539. [PMID: 30781834 PMCID: PMC6406868 DOI: 10.3390/ijerph16040539] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Revised: 02/10/2019] [Accepted: 02/11/2019] [Indexed: 12/02/2022]
Abstract
Xiangtan, South China, is characterized by year-round high relative humidity and very low wind speeds. To assess levels of PM2.5, daily samples were collected from 2016 to 2017 at two urban sites. The mass concentrations of PM2.5 were in the range of 30–217 µg/m3, with the highest concentrations in winter and the lowest in spring. Major water-soluble ions (WSIIs) and total carbon (TC) accounted for 58–59% and 21–24% of the PM2.5 mass, respectively. Secondary inorganic ions (SO42−, NO3−, and NH4+) dominated the WSIIs and accounted for 73% and 74% at the two sites. The concentrations of K, Fe, Al, Sb, Ca, Zn, Mg, Pb, Ba, As, and Mn in the PM2.5 at the two sites were higher than 40 ng/m3, and decreased in the order of winter > autumn > spring. Enrichment factor analysis indicates that Co, Cu, Zn, As, Se, Cd, Sb, Tl, and Pb mainly originates from anthropogenic sources. Source apportionment analysis showed that secondary inorganic aerosols, vehicle exhaust, coal combustion and secondary aerosols, fugitive dust, industrial emissions, steel industry are the major sources of PM2.5, contributing 25–27%, 21–22%, 19–21%, 16–18%, 6–9%, and 8–9% to PM2.5 mass.
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Affiliation(s)
- Xiaoyao Ma
- School of Resource, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, China.
| | - Zhenghui Xiao
- School of Resource, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, China.
| | - Lizhi He
- Atmospheric Environment Monitoring Station of Xiangtan, Xiangtan 411100, China.
| | - Zongbo Shi
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham B15 2TT, UK.
| | - Yunjiang Cao
- School of Resource, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, China.
| | - Zhe Tian
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham B15 2TT, UK.
- Epsom Gateways, Atkins, Epsom KT18 5AL, UK.
| | - Tuan Vu
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham B15 2TT, UK.
| | - Jisong Liu
- School of Resource, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, China.
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