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Yin J, Xie X, Wei X, Zhang H, Ying Q, Hu J. Source-specified atmospheric age distribution of black carbon and its impact on optical properties over the Yangtze River Delta. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 923:171353. [PMID: 38432390 DOI: 10.1016/j.scitotenv.2024.171353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 02/27/2024] [Accepted: 02/27/2024] [Indexed: 03/05/2024]
Abstract
Black carbon (BC) exerts a profound and intricate impact on both air quality and climate due to its high light absorption. However, the uncertainty in representing the absorption enhancement of BC in climate models leads to an increased range in the modeled aerosol climate effects. Changes in BC optical properties could result either from atmospheric aging processes or from variations in its sources. In this study, a source-age model for identifying emission sources and aging states presented by University of California at Davis/California Institute of Technology (UCD/CIT) was used to simulate the atmospheric age distribution of BC from different sources and to quantify its impact on the optical properties of BC-containing particles. The results indicate that regions with greater aged BC concentrations do not correspond to regions with higher BC emissions due to atmospheric transport. High concentrations of aged BC are found in northern Yangtze River Delta (YRD) regions during summer. The chemical compositions of particles from different sources and with different atmospheric ages differ significantly. BC and primary organic aerosols (POA) are dominating in Traffic-dominated source while other components dominate in Industry-dominated source. As the atmospheric age increases, the mass fraction of secondary inorganic aerosols rises. Compared to the original model, the simulated mass absorption cross section of BC particles in the source-age model decreases while the single scattering albedo increases. This compensates for ~11 % of the overestimation of the simulated BC direct radiative forcing. Our study highlights that incorporating atmospheric age and source information into models can greatly improve the estimation of optical properties of BC-containing particles and deepen our understanding of their climate effects.
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Affiliation(s)
- Junjie Yin
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Xiaodong Xie
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China.
| | - Xiaodong Wei
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Hongliang Zhang
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Qi Ying
- Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX 77843, USA
| | - Jianlin Hu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China
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2
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Nazneen, Patra AK, Kolluru SSR, Penchala A, Kumar S, Mishra N, Sree NB, Santra S, Dubey R. Assessment of seasonal variability of PM, BC and UFP levels at a highway toll stations and their associated health risks. ENVIRONMENTAL RESEARCH 2024; 245:118028. [PMID: 38160974 DOI: 10.1016/j.envres.2023.118028] [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: 10/23/2023] [Revised: 12/15/2023] [Accepted: 12/22/2023] [Indexed: 01/03/2024]
Abstract
As a part of their occupation, workers at toll stations are exposed to traffic emissions during the working shift, which sometimes stretches to 12 h. To assess the exposure and subsequent health risk of these workers, a study was performed on a highway toll station in India. PM1, PM2.5, PM10, BC and UFP concentration were determined inside a toll collectors' cabin and outside in a free-flowing traffic section (125 m from the toll cabin). The concentrations varied in the following range: PM1 (40.69-226.13 μg m-3), PM2.5 (49.71-247.36 μg m-3), PM10 (83.15-458.14 μg m-3) and BC (2.1-87.5 μg m-3) and UFP: 101-53705 pt cm-3. The mean concentration inside the cabin was 1.34 (PM1), 1.35 (PM2.5), 1.16 (PM10) and 2.91 (BC) times the concentration outside for the summer season. The corresponding levels in the winter season were 1.14 (PM1), 1.11 (PM2.5), 1.11 (PM10), 2.50 (BC) and 1.82 (UFP). In addition to the exhaust emission, the non-exhaust emissions such as resuspension of crustal particles, fly ash and bioaerosols were identified. Using the Multiple Path Particle Dosimetry model for two groups - adults (18-21 years) and adults (21+ years), it was estimated that the pulmonary deposition of in-cabin workers were 50% (PM2.5) -75% (PM1) higher than the workers outside the cabin. Particle mass deposition was found to be higher for adults (21+ years) than adults (18-21 years) for both the seasons. The study quantitatively assessed the health risk faced by the workers in terms of exposure concentration and deposition in respiratory tract. More such studies at different traffic mix and climate can provide better estimates of health risk of toll workers that can be used to devise appropriate strategies for control of it.
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Affiliation(s)
- Nazneen
- School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, India
| | - Aditya Kumar Patra
- Department of Mining Engineering, Indian Institute of Technology Kharagpur, India.
| | - Soma Sekhara Rao Kolluru
- School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, India
| | - Abhishek Penchala
- Department of Mining Engineering, Indian Institute of Technology Kharagpur, India
| | - Sachidanand Kumar
- Department of Mining Engineering, Indian Institute of Technology Kharagpur, India
| | - Namrata Mishra
- School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, India
| | - Naragam Bhanu Sree
- School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, India
| | - Samrat Santra
- School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, India
| | - Ravish Dubey
- Yale School of Environment, Yale University, USA
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Cheng X, Yu J, Chen L, Sun Y, Zhang H, Gao S, Kong S, Zheng H, Wang H. Influence of pollution control measures on the reduction of black carbon in an urban site of megacity, Tianjin, China based on ground-monitored and MERRA-2 reanalysis data. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169466. [PMID: 38145677 DOI: 10.1016/j.scitotenv.2023.169466] [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: 12/10/2023] [Accepted: 12/16/2023] [Indexed: 12/27/2023]
Abstract
The concentration of particulate matter (PM) has been reduced significantly with the implementation of air pollution control plans in Tianjin. However, as an important component of PM that can lead to global warming and adverse health effects, the influence of pollution control measures (PCM) on black carbon (BC) has been less studied. In this study, ten years of BC concentration satellite-based reanalysis data were collected from MERRA-2 (Modern-Era Retrospective Analysis for Research and Applications, Version 2), and their reliability was verified using ground-monitored BC data. Using the proposed Kolmogorov-Zurbenko and artificial neural network (KZ-ANN) model, the influences of meteorology and emission measures were separated. The results indicated that the overall meteorological conditions were not conducive to BC diffusion, especially in autumn and winter with low temperature, surface solar radiation, boundary layer height, and high atmospheric pressure, all of which increased the BC concentration. This study also found that although a significant reduction in BC emissions was observed in Tianjin (the total emissions of BC in 2020 dropped by 52 % compared with the level in 2013), the change in emission-influenced BC was relatively low (the concentration of emission-influenced BC in 2022 dropped by only 2.39 % compared to that in 2013). The reduction of emission-influenced BC concentration during the air pollution prevention control and action plan (APPC) was higher than the level during of the three-year action plan for winning the blue sky defense war (abbreviated as the Blue Sky Defense War). In addition, the lockdown measures during the Corona Virus Disease 2019 (COVID-19) did not have beneficial effect on the reduction of emission-influenced BC concentration. This phenomenon can be explained by the long-range transport of BC from surrounding areas, which was also proven by the results of the backward trajectory analysis. Therefore, efforts on emissions reduction in Tianjin were diminished. It is necessary to cooperate with the governments in surrounding areas to implement joint BC control measures, especially in autumn and winter.
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Affiliation(s)
- Xin Cheng
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China
| | - Jie Yu
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China
| | - Li Chen
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China
| | - Yanling Sun
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China
| | - Hui Zhang
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China
| | - Shuang Gao
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China.
| | - Shaofei Kong
- Department of Atmospheric Sciences, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China.
| | - Huang Zheng
- Department of Atmospheric Sciences, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China; Research Centre for Complex Air Pollution of Hubei Province, Wuhan 430078, China
| | - Hui Wang
- Tianjin Changhai Environmental Monitoring Service Corporation, Tianjin, China
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Su D, Chen L, Wang J, Zhang H, Gao S, Sun Y, Zhang H, Yao J. Long- and short-term health benefits attributable to PM 2.5 constituents reductions from 2013 to 2021: A spatiotemporal analysis in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 907:168184. [PMID: 37907103 DOI: 10.1016/j.scitotenv.2023.168184] [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: 09/06/2023] [Revised: 10/26/2023] [Accepted: 10/27/2023] [Indexed: 11/02/2023]
Abstract
Long- and short-term exposure to constituents of fine particulate matter (PM2.5) substantially affects human health. However, assessments of the health and economic benefits of reducing PM2.5 constituents are scarce. This study estimates the number of premature deaths from all-cause, cardiovascular (CVD), and respiratory diseases avoided due to reductions in daily and annual average concentrations of PM2.5 constituents. The Environmental Benefits Mapping and Analysis Program was used for two scenarios: we used yearly concentrations of PM2.5 constituents from 2013 to 2020 as the baseline concentration surface (Scenario I), and 2021 as the baseline year (Scenario II). With reductions in daily and annual average concentrations of PM2.5 constituents, 309,099 (95 % confidence interval [CI]: 37,265-571,485) and 195,297 (95 % CI: 178,192-211,914) premature deaths were avoided in Scenario I, respectively; meanwhile, 347,296 (95 % CI: 79,258-604,758) and 201,567 (95 % CI: 185,038-217,530) premature deaths were avoided in Scenario II, respectively. Moreover, economic benefits associated with the prevention of premature deaths were estimated using the willingness to pay (WTP) and modified human capital (AHC) methods. The total estimated economic benefits amounted to 563.32 billion RMB (WTP) and 322.03 billion RMB (AHC) in Scenario I. In Scenario II, the associated economic benefits were 751.48 billion RMB (WTP) and 427.56 billion RMB (AHC), accounting for 0.657 and 0.374 % of China's gross domestic product in 2021, respectively. Additionally, we analyzed the sensitivity of CVD-related premature deaths to the concentrations of PM2.5 constituents, and found that CVD-related premature deaths were more sensitive to black carbon.
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Affiliation(s)
- Die Su
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China
| | - Li Chen
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China.
| | - Jing Wang
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China
| | - Hui Zhang
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China
| | - Shuang Gao
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China
| | - Yanling Sun
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China
| | - Hu Zhang
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China
| | - Jiaqi Yao
- Academy of Eco-civilization Development for Jing-Jin-Ji Megalopolis, China
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5
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Pani SK, Huang HY, Wang SH, Holben BN, Lin NH. Long-term observation of columnar aerosol optical properties over the remote South China Sea. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 905:167113. [PMID: 37717748 DOI: 10.1016/j.scitotenv.2023.167113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 09/13/2023] [Accepted: 09/13/2023] [Indexed: 09/19/2023]
Abstract
The South China Sea (SCS) is a receptor of pollution sources from various parts of Asia and is heavily impacted by strong meteorological systems, which thus dictate aerosol variability over the region. This study analyzes long-term aerosol optical properties observed at Dongsha Island (a representative site in northern SCS) from 2009 to 2021 and Taiping Island (a representative site in southern SCS) from 2012 to 2021 to better apprehend the temporal evolution of columnar aerosols over the SCS. The noticeable difference in loadings, optical properties, and compositions of aerosols between northern and southern SCS was due to the influence of dissimilar emission sources and transport mechanisms. Column-integrated aerosol optical depth (AOD) over northern SCS (range of monthly mean at 500 nm; 0.12-0.51) was significantly greater than southern SCS (0.09-0.21). The maximum AOD in March (0.51 ± 0.28) at Dongsha was attributed to westerlies coupled with biomass-burning (BB) emissions from peninsular Southeast Asia, whereas the maximum AOD at Taiping in September (0.21 ± 0.25) was owing to various pollution from the Philippines, Malaysia, and Indonesia. Fine-mode aerosol dominated over northern SCS (range of monthly mean Angstrom exponent for 440-870 nm: 0.85-1.36) due to substantial influence from continental sources including anthropogenic and BB emissions while coarse-mode particles dominated over southern SCS (0.54-1.28) due to relatively more influence from marine source. More absorbing columnar aerosols prevailed over northern SCS (range of monthly mean single scattering albedo at 675 nm: 0.92-0.99) compared to southern SCS (0.95-0.98) owing to differences in aerosol composition with respect to sources. Special pollution events showcased possible significant impacts on marine ecosystems and regional climate. This study encourages the establishment of more ground-based aerosol monitoring networks and the inclusion of modeling simulations to comprehend the complex nature of aerosol over this vast marginal sea.
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Affiliation(s)
- Shantanu Kumar Pani
- Department of Atmospheric Sciences, National Central University, Taoyuan 32001, Taiwan
| | - Hsiang-Yu Huang
- Department of Atmospheric Sciences, National Central University, Taoyuan 32001, Taiwan
| | - Sheng-Hsiang Wang
- Department of Atmospheric Sciences, National Central University, Taoyuan 32001, Taiwan; Center for Environmental Monitoring and Technology, National Central University, Taoyuan 32001, Taiwan.
| | - Brent N Holben
- Goddard Space Flight Center, NASA, Greenbelt, MD 20771, USA
| | - Neng-Huei Lin
- Department of Atmospheric Sciences, National Central University, Taoyuan 32001, Taiwan; Center for Environmental Monitoring and Technology, National Central University, Taoyuan 32001, Taiwan.
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6
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Goel V, Jain S, Singh V, Kumar M. Source apportionment, health risk assessment, and trajectory analysis of black carbon and light absorption properties of black and brown carbon in Delhi, India. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:116252-116265. [PMID: 37910356 DOI: 10.1007/s11356-023-30512-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Accepted: 10/12/2023] [Indexed: 11/03/2023]
Abstract
Black Carbon (BC) is an important atmospheric pollutant, well recognized for adverse health and climatic effects. The present work discusses the monthly and seasonal variations of BC sources, health risks, and light absorption properties. The measurement was done from January to December 2021 using a seven wavelength aethalometer. Annual average BC concentration during the study period was 12.2 ± 8.8 μg/m3 (ranged from 1.9 - 52.2 μg/m3). Results represent highest BC concentration during winter (W), followed by post-monsoon (P-M), summer (S), and monsoon (M) seasons where the fossil fuel (FF) combustion is the major source during W, S, and M seasons and biomass burning (BB) during the P-M season. The health risk assessment revealed that individuals in Delhi are exposed to BC levels equivalent to inhaling the smoke from 36 passively smoked cigarettes (PSC) everyday. The risk is highest during W reaching upto 71 PSC and minimum during M i.e., 9 PSC. The light absorption properties were calculated for BC (AbsBC) and Brown carbon (AbsBrC). AbsBC and varied from 229-89 Mm-1 between 370-950 nm and AbsBrC varied from 87-12 Mm-1 between 370-660 nm. AbsBC contributed substantially to total absorption at all wavelengths, while AbsBrC contribution is quite significant in the UV region only. Trajectory analysis confirmed significant influence of regional sources (e.g., biomass-burning aerosols from northwest and east direction) on air quality, health risks, and light absorption properties of BC over Delhi especially during the P-M season. The BB events of Punjab, Haryana, Uttar Pradesh, and eastern Pakistan seems to have significant influence on Delhi's air quality predominantly during P-M season.
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Affiliation(s)
- Vikas Goel
- Department of Mechanical Engineering, Indian Institute of Technology Delhi, Delhi, 110016, India
- School of Interdisciplinary Research, Indian Institute of Technology Delhi, Delhi, 110016, India
| | - Srishti Jain
- Department of Chemical Engineering, Indian Institute of Technology Delhi, Delhi, 110016, India
| | - Vikram Singh
- Department of Chemical Engineering, Indian Institute of Technology Delhi, Delhi, 110016, India
| | - Mayank Kumar
- Department of Mechanical Engineering, Indian Institute of Technology Delhi, Delhi, 110016, India.
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Chen P, Kang S, Gan Q, Yu Y, Yuan X, Liu Y, Tripathee L, Wang X, Li C. Concentrations and light absorption properties of PM 2.5 organic and black carbon based on online measurements in Lanzhou, China. J Environ Sci (China) 2023; 131:84-95. [PMID: 37225383 DOI: 10.1016/j.jes.2022.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 04/21/2022] [Accepted: 08/02/2022] [Indexed: 05/26/2023]
Abstract
To elucidate the variations in mass concentrations of organic carbon (OC) and black carbon (BC) in PM2.5 and their light absorption characteristics in Lanzhou, we conducted one-year online measurements by using a newly developed total carbon analyzer (TCA08) coupled with an aethalometer (AE33) from July 2018 to July 2019. The mean OC and BC concentrations were 6.4 ± 4.4 and 2.0 ± 1.3 µg/m3, respectively. Clear seasonal variations were observed for both components, with winter having the highest concentrations, followed by autumn, spring, and summer. The diurnal variations of OC and BC concentrations were similar throughout the year, with daily two peaks occurring in the morning and evening, respectively. A relatively low OC/BC ratio (3.3 ± 1.2, n = 345) were observed, indicating that fossil fuel combustion was the primary source of the carbonaceous components. This is further substantiated by relatively low biomass burning contribution (fbiomass: 27.1% ± 11.3%) to BC using aethalometer based measurement though fbiomass value which increased significantly in winter (41.6% ± 5.7%). We estimated a considerable brown carbon (BrC) contribution to the total absorption coefficient (babs) at 370 nm (yearly average of 30.8% ± 11.1%), with a winter maximum of 44.2% ± 4.1% and a summer minimum of 19.2% ± 4.2%. Calculation of the wavelength dependence of total babs revealed an annual mean AAE370-520 value of 4.2 ± 0.5, with slightly higher values in spring and winter. The mass absorption cross-section of BrC also exhibited higher values in winter, with an annual mean of 5.4 ± 1.9 m2/g, reflecting the impact of emissions from increased biomass burning on BrC concentrations.
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Affiliation(s)
- Pengfei Chen
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou 730000, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shichang Kang
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou 730000, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Qinyi Gan
- College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Ye Yu
- Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, CAS, Lanzhou 730000, China
| | - Xianlei Yuan
- Xinjiang Bayingolin Mongolian Autonomous Prefecture Meteorological Bureau, Korla 841000, China
| | - Yajun Liu
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou 730000, China
| | - Lekhendra Tripathee
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou 730000, China
| | - Xiaoxiang Wang
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou 730000, China
| | - Chaoliu Li
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou 730000, China; University of Chinese Academy of Sciences, Beijing 100049, China
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Goel V, Kumar A, Jain S, Singh V, Kumar M. Spatiotemporal variability and health risk assessment of PM 2.5 and NO 2 over the Indo-Gangetic Plain: A three years long study (2019-21). ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 195:976. [PMID: 37477719 DOI: 10.1007/s10661-023-11558-2] [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: 01/04/2023] [Accepted: 06/24/2023] [Indexed: 07/22/2023]
Abstract
Studying the spatiotemporal variability of pollutants is necessary to identify the pollution hotspots with high health risk and enable the agencies to implement pollution abatement strategies in a targeted manner. Present study reports the spatio-temporal variability and health risk assessment (HRA) of PM2.5 (Particulate matter with aerodynamic diameter <2.5μm) and NO2 over IGP from 2019-2021. The HRA is expressed as passively smoked cigarettes (PSC) for four different health outcomes i.e., low birth weight (LBW), percentage decreased lung function (DLF) in school aged children, lung cancer (LC), and cardiovascular mortality (CM). The findings confirm very high PM2.5 and NO2 mass concentrations and high health risk over middle IGP and Delhi as compared to upper and lower IGP. Within Delhi, north Delhi region is the most polluted and at highest risk as compared to central and south Delhi. The health risk associated with PM2.5 over IGP is highest for DLF, equivalent to 21.63 PSCs daily, followed by CM (11.69), LBW (8.27) and LC (6.94). For NO2, the health risk is highest for DLF (3.09 PSCs) and CM (2.95), followed by LC (1.47) and LBW (1.04). PM2.5 and NO2 concentrations, along with the associated health risks, are highest during the post-monsoon and winter seasons and lowest during the monsoon season.
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Affiliation(s)
- Vikas Goel
- School of interdisciplinary research, Indian Institute of Technology Delhi, Delhi, 110016, India.
- Department of Mechanical Engineering, Indian Institute of Technology Delhi, Delhi, 110016, India.
| | - Ajit Kumar
- Department of Mechanical Engineering, Indian Institute of Technology Delhi, Delhi, 110016, India
| | - Srishti Jain
- Centre for Research into Atmospheric Chemistry, University College Cork, Cork, T12K8AF, Ireland
- Department of Chemical Engineering, Indian Institute of Technology Delhi, Delhi, 110016, India
| | - Vikram Singh
- Department of Chemical Engineering, Indian Institute of Technology Delhi, Delhi, 110016, India
| | - Mayank Kumar
- Department of Mechanical Engineering, Indian Institute of Technology Delhi, Delhi, 110016, India.
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9
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Amnuaylojaroen T, Parasin N. Perspective on Particulate Matter: From Biomass Burning to the Health Crisis in Mainland Southeast Asia. TOXICS 2023; 11:553. [PMID: 37505519 PMCID: PMC10384564 DOI: 10.3390/toxics11070553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 06/16/2023] [Accepted: 06/21/2023] [Indexed: 07/29/2023]
Abstract
Air pollution, notably particulate matter pollution, has become a serious concern in Southeast Asia in recent decades. The combustion of biomass has been recognized to considerably increase air pollution problems from particulate matter in this region. Consequently, its effect on people in this area is significant. This article presents a synthesis of several datasets obtained from satellites, global emissions, global reanalysis, and the global burden of disease (GBD) to highlight the air quality issue and emphasize the health crisis in mainland Southeast Asia. We found that the death rates of people have increased significantly along with the rise of hotspots in mainland Southeast Asia over the last two decades (2000-2019). In comparison, most countries saw a considerable increase in the predicted fatality rates associated with chronic respiratory illnesses during those two decades. Several reports highlight the continued prevalence of chronic respiratory diseases likely related to poor air quality in Southeast Asia.
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Affiliation(s)
- Teerachai Amnuaylojaroen
- School of Energy and Environment, University of Phayao, Phayao 56000, Thailand
- Atmospheric Pollution and Climate Research Unit, School of Energy and Environment, University of Phayao, Phayao 56000, Thailand
| | - Nichapa Parasin
- School of Allied Health Science, University of Phayao, Phayao 56000, Thailand
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10
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Dehhaghi S, Bahiraee H, Pardakhti A, Rashidi Y. Traces of black carbon sources before and after the Covid-19 outbreak in Tehran, Iran. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 195:853. [PMID: 37326877 DOI: 10.1007/s10661-023-11442-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 06/01/2023] [Indexed: 06/17/2023]
Abstract
The concentration of black carbon was measured in four sites of the industrial and high-traffic metropolis of Tehran with different land uses. Then, the contribution of biomass and fossil fuels in the emission of this pollutant was modeled using the Aethalometer model. The possible locations of important sources of black carbon dissemination were projected using PSCF and CWT models, and the results were compared in the two periods before and after the Covid-19 outbreak. Temporal variations of black carbon illustrated that BC concentration decreased in the period after the onset of the pandemic in all studied areas, and this decline was more explicit in the traffic intersection of the city. Diurnal changes of BC concentration indicated the significant impact of the application of the law banning night traffic of motor vehicles in reducing the BC concentration in this period, and probably the reduction of HDDV traffic has played the most important role in this reduction. The results related to the share of BC sources indicated that black carbon emissions are affected by an average of about 80% of fossil fuel combustion and wood combustion interferes with about 20% of BC emissions. Finally, speculations were made about the possible sources of BC emission and its urban scale transport using PSCF and CWT models, which indicated the superiority of the CWT model in terms of source segregation. The results of this analysis were further utilized to surmise black carbon emission sources based on the land use of receptor points.
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Affiliation(s)
- Sam Dehhaghi
- Environmental Sciences Research Institute, Shahid Beheshti University, Tehran, Iran.
| | - Hossein Bahiraee
- Environmental Sciences Research Institute, Shahid Beheshti University, Tehran, Iran
| | | | - Yousef Rashidi
- Environmental Sciences Research Institute, Shahid Beheshti University, Tehran, Iran
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11
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Ohta A, Takahashi K, Sase H, Murao N, Takada K, Yamaguchi M, Murakami H, Nakaba S, Watanabe M, Mizukawa K, Takada H, Izuta T. Relationship between the amount of black carbon particles deposited on the leaf surface and leaf surface traits in nine urban greening tree species. INTERNATIONAL JOURNAL OF PHYTOREMEDIATION 2023:1-13. [PMID: 37148212 DOI: 10.1080/15226514.2023.2204148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
To select urban greening tree species suitable for the purification of the atmosphere polluted by black carbon (BC) particles, it is necessary to clarify the determinants of the amount of BC particles deposited on the tree leaves. In the present study, we investigated the relationship between the amount of BC particles that were deposited from the atmosphere and firmly adhered to the leaf epicuticular wax, and leaf surface traits in seedlings of nine tree species grown for two years under natural conditions (Fuchu, Tokyo, Japan). There was a significant interspecific difference in the maximum amount of BC particles deposited on the leaf surface, and the order was as follows: Ilex rotunda > Cornus florida > Osmanthus fragrans > Cornus kousa > Quercus glauca ≒ Quercus myrsinifolia > Magnolia kobus ≒ Zelkova serrata ≒ Styrax japonicus. In the nine tree species, significant highly positive correlations were observed between the amount of BC particles deposited on the leaf surface, and the hydrophobicity of leaf epicuticular wax determined by its chemical composition. Therefore, we concluded that the hydrophobicity of leaf epicuticular wax is an important determinant of the amount of BC particles deposited on the leaf surface of urban greening tree species.
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Affiliation(s)
- Akari Ohta
- Graduate School of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan
| | - Kei Takahashi
- Graduate School of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan
| | - Hiroyuki Sase
- Asia Center for Air Pollution Research, Niigata, Japan
| | - Naoto Murao
- Graduate School of Engineering, Hokkaido University, Sapporo, Japan
| | - Keiichi Takada
- Graduate School of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan
| | - Masahiro Yamaguchi
- Graduate School of Fisheries and Environmental Sciences, Nagasaki University, Nagasaki, Japan
| | - Hisashi Murakami
- Institute of Engineering, Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan
| | - Satoshi Nakaba
- Institute of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan
| | - Makoto Watanabe
- Institute of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan
| | - Kaoruko Mizukawa
- Institute of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan
| | - Hideshige Takada
- Institute of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan
| | - Takeshi Izuta
- Institute of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan
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12
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Suriyawong P, Chuetor S, Samae H, Piriyakarnsakul S, Amin M, Furuuchi M, Hata M, Inerb M, Phairuang W. Airborne particulate matter from biomass burning in Thailand: Recent issues, challenges, and options. Heliyon 2023; 9:e14261. [PMID: 36938473 PMCID: PMC10018570 DOI: 10.1016/j.heliyon.2023.e14261] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 02/28/2023] [Accepted: 02/28/2023] [Indexed: 03/08/2023] Open
Abstract
Many of the current atmospheric environmental problems facing Thailand are linked to air pollution that is largely derived from biomass burning. Different parts of Thailand have distinctive sources of biomass emissions that affect air quality. The main contributors to atmospheric particulate matter (PM), especially the PM2.5 fraction in Thailand, were highlighted in a recent study of PM derived from biomass burning. This review is divided into six sections. Section one is an introduction to biomass burning in Thailand. Section two covers issues related to biomass burning for each of the four main regions in Thailand, including Northern, Northeastern, Central, and Southern Thailand. In northern Thailand, forest fires and the burning of crop residues have contributed to air quality in the past decade. The northeast region is mainly affected by the burning of agricultural residues. However, the main contributor to PM in the Bangkok Metropolitan Region is motor vehicles and crop burning. In Southern Thailand, the impact of agoindustries, biomass combustion, and possible agricultural residue burning are the primary sources, and cross-border pollution is also important. The third section concerns the effect of biomass burning on human health. Finally, perspectives, new challenges, and policy recommendations are made concerning improving air quality in Thailand, e.g., forest fuel management and biomass utilization. The overall conclusions point to issues that will have a long-term impact on achieving a blue sky over Thailand through the development of coherent policies and the management of air pollution and sharing this knowledge with a broader audience.
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Affiliation(s)
- Phuchiwan Suriyawong
- Research Unit for Energy, Economic, And Ecological Management (3E), Science and Technology Research Institute, Chiang Mai University, Chiang Mai, 50200 Thailand
| | - Santi Chuetor
- Department of Chemical Engineering, Faculty of Engineering, King Mongkut's University of Technology North Bangkok, Bangkok, 10800 Thailand
| | - Hisam Samae
- Research Unit for Energy, Economic, And Ecological Management (3E), Science and Technology Research Institute, Chiang Mai University, Chiang Mai, 50200 Thailand
| | - Suthida Piriyakarnsakul
- Office of National Higher Education Science Research and Innovation Policy Council, Bangkok 10330 Thailand
| | - Muhammad Amin
- Faculty of Geosciences and Civil Engineering, Institute of Science and Engineering, Kanazawa University, Kakuma-machi, Kanazawa, Ishikawa, 920-1192 Japan
- Faculty of Engineering, Maritim University of Raja Ali Haji, Tanjung Pinang, Kepulauan Riau 29115, Indonesia
| | - Masami Furuuchi
- Faculty of Geosciences and Civil Engineering, Institute of Science and Engineering, Kanazawa University, Kakuma-machi, Kanazawa, Ishikawa, 920-1192 Japan
- Faculty of Environmental Management, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand
| | - Mitsuhiko Hata
- Faculty of Geosciences and Civil Engineering, Institute of Science and Engineering, Kanazawa University, Kakuma-machi, Kanazawa, Ishikawa, 920-1192 Japan
| | - Muanfun Inerb
- Faculty of Environmental Management, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand
| | - Worradorn Phairuang
- Faculty of Geosciences and Civil Engineering, Institute of Science and Engineering, Kanazawa University, Kakuma-machi, Kanazawa, Ishikawa, 920-1192 Japan
- Department of Geography, Faculty of Social Sciences, Chiang Mai University, Muang, Chiang Mai 50200 Thailand
- Corresponding author. Faculty of Geosciences and Civil Engineering, Institute of Science and Engineering, Kanazawa University, Kakuma-machi, Kanazawa, Ishikawa, 920-1192 Japan.
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13
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Wu C, Trounce H, Dunne E, Griffith DWT, Chambers SD, Williams AG, Humphries RS, Cravigan LT, Miljevic B, Zhang C, Wang H, Wang B, Ristovski Z. Atmospheric concentrations and sources of black carbon over tropical Australian waters. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 856:159143. [PMID: 36195151 DOI: 10.1016/j.scitotenv.2022.159143] [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: 08/15/2022] [Revised: 09/26/2022] [Accepted: 09/27/2022] [Indexed: 06/16/2023]
Abstract
Black carbon (BC) aerosols significantly contribute to radiative budgets globally, however their actual contributions remain poorly constrained in many under-sampled ocean regions. The tropical waters north of Australia are a part of the Indo-Pacific warm pool, regarded as a heat engine of global climate, and are in proximity to large terrestrial sources of BC aerosols such as fossil fuel emissions, and biomass burning emissions from northern Australia. Despite this, measurements of marine aerosols, especially BC remain elusive, leading to large uncertainties and discrepancies in current chemistry-climate models for this region. Here, we report the first comprehensive measurements of aerosol properties collected over the tropical warm pool in Australian waters during a voyage in late 2019. The non-marine related aerosol emissions observed in the Arafura Sea region were more intense than in the Timor Sea marine region, as the Arafura Sea was subject to greater continental outflows. The median equivalent BC (eBC) concentration in the Arafura Sea (0.66 μg m-3) was slightly higher than that in the Timor Sea (0.49 μg m-3). Source apportionment modelling and back trajectory analysis and tracer studies consistently suggest fossil fuel combustion eBC (eBCff) was the dominant contributor to eBC across the entire voyage region, with biomass burning eBC (eBCbb) making significant additional contributions to eBC in the Arafura Sea. eBCff (possibly from ship emissions or oil and gas rigs and their associated activities) and cloud condensation nuclei (CCN) were robustly correlated in the Timor Sea data, whereas eBCbb positively correlated to CCN in the Arafura Sea, suggesting different sources and atmospheric processing pathways occurred in these two regions. This work demonstrates the substantial impact that fossil fuel and biomass burning emissions can have on the composition of aerosols and cloud processes in the remote tropical marine atmosphere, and their potentially significant contribution to the radiative balance of the rapidly warming Indo-Pacific warm pool.
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Affiliation(s)
- Changda Wu
- International Laboratory for Air Quality and Health, School of Earth and Atmospheric Sciences, Queensland University of Technology, Brisbane, Australia; JNU-QUT Joint Laboratory for Air Quality Science and Management, Jinan University, Guangzhou, China
| | - Haydn Trounce
- International Laboratory for Air Quality and Health, School of Earth and Atmospheric Sciences, Queensland University of Technology, Brisbane, Australia
| | - Erin Dunne
- Climate Science Centre, Oceans and Atmosphere, Commonwealth Scientific and Industrial Research Organisation, Aspendale, Australia
| | - David W T Griffith
- Centre for Atmospheric Chemistry, School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, Australia
| | - Scott D Chambers
- Environmental Research, Australian Nuclear Science and Technology Organisation, Lucas Heights, Australia
| | - Alastair G Williams
- Environmental Research, Australian Nuclear Science and Technology Organisation, Lucas Heights, Australia
| | - Ruhi S Humphries
- Climate Science Centre, Oceans and Atmosphere, Commonwealth Scientific and Industrial Research Organisation, Aspendale, Australia
| | - Luke T Cravigan
- International Laboratory for Air Quality and Health, School of Earth and Atmospheric Sciences, Queensland University of Technology, Brisbane, Australia
| | - Branka Miljevic
- International Laboratory for Air Quality and Health, School of Earth and Atmospheric Sciences, Queensland University of Technology, Brisbane, Australia
| | - Chunlin Zhang
- JNU-QUT Joint Laboratory for Air Quality Science and Management, Jinan University, Guangzhou, China; Institute for Environmental and Climate Research, Jinan University, Guangzhou, China
| | - Hao Wang
- JNU-QUT Joint Laboratory for Air Quality Science and Management, Jinan University, Guangzhou, China; Institute for Environmental and Climate Research, Jinan University, Guangzhou, China
| | - Boguang Wang
- JNU-QUT Joint Laboratory for Air Quality Science and Management, Jinan University, Guangzhou, China; Institute for Environmental and Climate Research, Jinan University, Guangzhou, China
| | - Zoran Ristovski
- International Laboratory for Air Quality and Health, School of Earth and Atmospheric Sciences, Queensland University of Technology, Brisbane, Australia; JNU-QUT Joint Laboratory for Air Quality Science and Management, Jinan University, Guangzhou, China.
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14
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Liu X, Hadiatullah H, Schnelle-Kreis J, Xu Y, Yue M, Zhang X, Querol X, Cao X, Bendl J, Cyrys J, Jakobi G, Philipp A, Münkel C, Zimmermann R, Adam T. Levels and drivers of urban black carbon and health risk assessment during pre- and COVID19 lockdown in Augsburg, Germany. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 316:120529. [PMID: 36341825 DOI: 10.1016/j.envpol.2022.120529] [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: 06/03/2022] [Revised: 09/29/2022] [Accepted: 10/23/2022] [Indexed: 06/16/2023]
Abstract
This study aimed to evaluate the levels and phenomenology of equivalent black carbon (eBC) at the city center of Augsburg, Germany (01/2018 to 12/2020). Furthermore, the potential health risk of eBC based on equivalent numbers of passively smoked cigarettes (PSC) was also evaluated, with special emphasis on the impact caused by the COVID19 lockdown restriction measures. As it could be expected, peak concentrations of eBC were commonly recorded in morning (06:00-8:00 LT) and night (19:00-22:00 LT) in all seasons, coinciding with traffic rush hours and atmospheric stagnation. The variability of eBC was highly influenced by diurnal variations in traffic and meteorology (air temperature (T), mixing-layer height (MLH), wind speed (WS)) across days and seasons. Furthermore, a marked "weekend effect" was evidenced, with an average eBC decrease of ∼35% due to lower traffic flow. During the COVID19 lockdown period, an average ∼60% reduction of the traffic flow resulted in ∼30% eBC decrease, as the health risks of eBC exposure was markedly reduced during this period. The implementation of a multilinear regression analysis allowed to explain for 53% of the variability in measured eBC, indicating that the several factors (e.g., traffic and meteorology) may contribute simultaneously to this proportion. Overall, this study will provide valuable input to the policy makers to mitigate eBC pollutant and its adverse effect on environment and human health.
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Affiliation(s)
- Xiansheng Liu
- Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer Science and Engineering, Beijing Technology and Business University, Beijing, 100048, China; University of the Bundeswehr Munich, Faculty for Mechanical Engineering, Institute of Chemical and Environmental Engineering, 85577, Neubiberg, Germany; Institute of Environmental Assessment and Water Research (IDAEA-CSIC), 08034, Barcelona, Spain
| | | | - Jürgen Schnelle-Kreis
- Joint Mass Spectrometry Center, Cooperation Group Comprehensive Molecular Analytics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Yanning Xu
- School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao, 266525, China
| | - Mingqi Yue
- Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer Science and Engineering, Beijing Technology and Business University, Beijing, 100048, China
| | - Xun Zhang
- Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer Science and Engineering, Beijing Technology and Business University, Beijing, 100048, China; Hotan Normal College. Hotan 848000, Xinjiang, China.
| | - Xavier Querol
- Institute of Environmental Assessment and Water Research (IDAEA-CSIC), 08034, Barcelona, Spain
| | - Xin Cao
- School of Sport Science, Beijing Sport University, Beijing, 100084, China
| | - Jan Bendl
- University of the Bundeswehr Munich, Faculty for Mechanical Engineering, Institute of Chemical and Environmental Engineering, 85577, Neubiberg, Germany
| | - Josef Cyrys
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Gert Jakobi
- Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer Science and Engineering, Beijing Technology and Business University, Beijing, 100048, China
| | - Andreas Philipp
- Institute of Geography, University of Augsburg, Alter Postweg 118, D - 86159, Augsburg, Germany
| | | | - Ralf Zimmermann
- Joint Mass Spectrometry Center, Cooperation Group Comprehensive Molecular Analytics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany; Joint Mass Spectrometry Center, Chair of Analytical Chemistry, University of Rostock, 18059, Rostock, Germany
| | - Thomas Adam
- University of the Bundeswehr Munich, Faculty for Mechanical Engineering, Institute of Chemical and Environmental Engineering, 85577, Neubiberg, Germany; Joint Mass Spectrometry Center, Cooperation Group Comprehensive Molecular Analytics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
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15
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Cui C, Liu Y, Chen L, Liang S, Shan M, Zhao J, Liu Y, Yu S, Sun Y, Mao J, Zhang H, Gao S, Ma Z. Assessing public health and economic loss associated with black carbon exposure using monitoring and MERRA-2 data. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 313:120190. [PMID: 36122658 DOI: 10.1016/j.envpol.2022.120190] [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: 11/10/2021] [Revised: 09/10/2022] [Accepted: 09/12/2022] [Indexed: 06/15/2023]
Abstract
Black carbon (BC) exposure in China continues to be relatively high, prompting researchers to assess BC exposure levels using data from monitoring sites, satellite remote sensing, and models. However, data regarding the application of a combined strategy comprising the analysis of monitoring data and various types of data to simulate BC exposure levels are lacking. Hence, the current study seeks to estimate short- and long-term BC exposure levels by combining national monitoring data with data from the second Modern-Era Retrospective analysis for Research and Applications (MERRA-2). Furthermore, this study attempts to improve the spatio-temporal resolution of BC exposure levels using Bayesian maximum entropy (BME). The BME model performed well in terms of estimating short- (R2 = 0.74 and RMSE = 1.76 μg/m3) and long-term (R2 = 0.76 and RMSE = 1.3 μg/m3) exposure. Premature mortalities and economic losses were also assessed by applying localised concentration-response coefficients simulated in China. A total of 74,500 (95% confidence interval (CI): 23,900-124,500) and 538,400 (95% CI: 495,000-581,300) all-cause premature mortality cases were found to be associated with short- and long-term BC exposure, respectively. Meanwhile, short-term BC exposure was associated with economic losses ranging from 7.5 to 13.2 billion US dollars (USD) (1 USD = 6.36 RMB on January 19, 2022) based on amended human capital (AHC) and willingness to pay (WTP), accounting for 0.06%-0.1% of China's total gross domestic product (GDP) in 2017 (1.2 × 104 billion USD), respectively. The economic losses for long-term exposure varied from 53 to 93.2 billion USD based on AHC and WTP, accounting for 0.4%-0.8% of China's total GDP in 2017, respectively.
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Affiliation(s)
- Chen Cui
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China
| | - Yusi Liu
- State Key Laboratory of Severe Weather & Key Laboratory for Atmospheric Chemistry of China Meteorology Administration, Chinese Academy of Meteorological Sciences, Beijing, 100081, China
| | - Li Chen
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China.
| | - Shuang Liang
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China
| | - Mei Shan
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China
| | - Jingwen Zhao
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China
| | - Yaxin Liu
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China
| | - Shunbang Yu
- School of Life Sciences, Tsinghua University, Beijing, 100084, China
| | - Yanling Sun
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China
| | - Jian Mao
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China
| | - Hui Zhang
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China
| | - Shuang Gao
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China
| | - Zhenxing Ma
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, 300387, China
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16
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Phung VLH, Uttajug A, Ueda K, Yulianti N, Latif MT, Naito D. A scoping review on the health effects of smoke haze from vegetation and peatland fires in Southeast Asia: Issues with study approaches and interpretation. PLoS One 2022; 17:e0274433. [PMID: 36107927 PMCID: PMC9477317 DOI: 10.1371/journal.pone.0274433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 08/28/2022] [Indexed: 12/02/2022] Open
Abstract
Smoke haze due to vegetation and peatland fires in Southeast Asia is a serious public health concern. Several approaches have been applied in previous studies; however, the concepts and interpretations of these approaches are poorly understood. In this scoping review, we addressed issues related to the application of epidemiology (EPI), health burden estimation (HBE), and health risk assessment (HRA) approaches, and discussed the interpretation of findings, and current research gaps. Most studies reported an air quality index exceeding the ‘unhealthy’ level, especially during smoke haze periods. Although smoke haze is a regional issue in Southeast Asia, studies on its related health effects have only been reported from several countries in the region. Each approach revealed increased health effects in a distinct manner: EPI studies reported excess mortality and morbidity during smoke haze compared to non-smoke haze periods; HBE studies estimated approximately 100,000 deaths attributable to smoke haze in the entire Southeast Asia considering all-cause mortality and all age groups, which ranged from 1,064–260,000 for specified mortality cause, age group, study area, and study period; HRA studies quantified potential lifetime cancer and non-cancer risks due to exposure to smoke-related chemicals. Currently, there is a lack of interconnection between these three approaches. The EPI approach requires extensive effort to investigate lifetime health effects, whereas the HRA approach needs to clarify the assumptions in exposure assessments to estimate lifetime health risks. The HBE approach allows the presentation of health impact in different scenarios, however, the risk functions used are derived from EPI studies from other regions. Two recent studies applied a combination of the EPI and HBE approaches to address uncertainty issues due to the selection of risk functions. In conclusion, all approaches revealed potential health risks due to smoke haze. Nonetheless, future studies should consider comparable exposure assessments to allow the integration of the three approaches.
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Affiliation(s)
- Vera Ling Hui Phung
- Center for Climate Change Adaptation, National Institute for Environmental Studies (NIES), Tsukuba, Ibaraki, Japan
- * E-mail:
| | - Attica Uttajug
- Department of Hygiene, Graduate School of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Kayo Ueda
- Department of Hygiene, Graduate School of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Kyoto, Japan
- Graduate School of Global Environmental Studies, Kyoto University, Kyoto, Kyoto, Japan
| | - Nina Yulianti
- Department of Agronomy, Faculty of Agriculture, Universitas Palangka Raya, Palangka Raya, Kalimantan Tengah, Indonesia
- Graduate Program of Environmental Science, Universitas Palangka Raya, Palangka Raya, Kalimantan Tengah, Indonesia
| | - Mohd Talib Latif
- Department of Earth Sciences and Environment, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
| | - Daisuke Naito
- Graduate School of Agriculture, Kyoto University, Kyoto, Kyoto, Japan
- Center for International Forestry Research (CIFOR), Bogor, Jawa Barat, Indonesia
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17
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Pani SK, Lin NH, Lee CT, Griffith SM, Chang JHW, Hsu BJ. Insights into aerosol chemical composition and optical properties at Lulin Atmospheric Background Station (2862 m asl) during two contrasting seasons. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 834:155291. [PMID: 35439502 DOI: 10.1016/j.scitotenv.2022.155291] [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: 02/17/2022] [Revised: 04/06/2022] [Accepted: 04/11/2022] [Indexed: 06/14/2023]
Abstract
Continental outflows from peninsular Southeast Asia and East Asia dominate the widespread dispersal of air pollutants over subtropical western North Pacific during spring and autumn, respectively. This study analyses the chemical composition and optical properties of PM10 aerosols during autumn and spring at a representative high-altitude site, viz., Lulin Atmospheric Background Station (23.47°N, 120.87°E; 2862 m a.s.l.), Taiwan. PM10 mass was reconstructed and the contributions of major chemical components were also delineated. Aerosol scattering (σsp) and absorption (σap) coefficients were regressed on mass densities of major chemical components by assuming external mixing between them, and the site-specific mass scattering efficiency (MSE) and mass absorption efficiency (MAE) of individual components for dry conditions were determined. NH4NO3 exhibited the highest MSE among all components during both seasons (8.40 and 12.58 m2 g-1 at 550 nm in autumn and spring, respectively). (NH4)2SO4 and organic matter (OM) accounted for the highest σsp during autumn (51%) and spring (50%), respectively. Mean MAE (mean contribution to σap) of elemental carbon (EC) at 550 nm was 2.51 m2 g-1 (36%) and 7.30 m2 g-1 (61%) in autumn and spring, respectively. Likewise, the mean MAE (mean contribution to σap) of organic carbon (OC) at 550 nm was 0.84 m2 g-1 (64%) and 0.83 m2 g-1 (39%) in autumn and spring, respectively. However, a classification matrix, based on scattering Ångström exponent, absorption Ångström exponent, and single scattering albedo (ω), demonstrated that the composite absorbing aerosols were EC-dominated (with weak absorption; ω = 0.91-0.95) in autumn and a combination of EC-dominated and EC/OC mixture (with moderate absorption; ω = 0.85-0.92) in spring. This study demonstrates a strong link between chemical composition and optical properties of aerosol and provides essential information for model simulations to assess the imbalance in regional radiation budget with better accuracy over the western North Pacific.
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Affiliation(s)
- Shantanu Kumar Pani
- Department of Atmospheric Sciences, National Central University, Taoyuan 32001, Taiwan.
| | - Neng-Huei Lin
- Department of Atmospheric Sciences, National Central University, Taoyuan 32001, Taiwan; Center for Environmental Monitoring and Technology, National Central University, Taoyuan 32001, Taiwan
| | - Chung-Te Lee
- Graduate Institute of Environmental Engineering, National Central University, Taoyuan 32001, Taiwan.
| | - Stephen M Griffith
- Department of Atmospheric Sciences, National Central University, Taoyuan 32001, Taiwan
| | - Jackson Hian-Wui Chang
- Department of Atmospheric Sciences, National Central University, Taoyuan 32001, Taiwan; Preparatory Center for Science and Technology, University Malaysia Sabah, Kota Kinabalu 88400, Malaysia
| | - Bo-Jun Hsu
- Graduate Institute of Environmental Engineering, National Central University, Taoyuan 32001, Taiwan
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18
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Byčenkienė S, Pashneva D, Uogintė I, Pauraitė J, Minderytė A, Davulienė L, Plauškaitė K, Skapas M, Dudoitis V, Touqeer G, Andriejauskiene J, Araminienė V, Dzenajavičienė EF, Sicard P, Gudynaitė-Franckevičienė V, Varnagirytė-Kabašinskienė I, Pedišius N, Lemanas E, Vonžodas T. Evaluation of the anthropogenic black carbon emissions and deposition on Norway spruce and silver birch foliage in the Baltic region. ENVIRONMENTAL RESEARCH 2022; 207:112218. [PMID: 34655608 DOI: 10.1016/j.envres.2021.112218] [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: 07/28/2021] [Revised: 10/11/2021] [Accepted: 10/11/2021] [Indexed: 06/13/2023]
Abstract
This study investigates potential influence of urban trees on black carbon (BC) removal by Norway spruce and silver birch along with the BC formation, mass concentration in air, and source apportionment. The main sources of BC in urban areas are transport, household and industry. BC concentrations monitored in urban background station in Vilnius (Lithuania) showed that biomass burning was a significant contributor to BC emissions even during warm period of the year. Therefore, BC emission levels were determined for the most common biomass fuels (mixed wood pellets, oak, ash, birch and spruce firewood) and two types of agro-biomass (triticale and rapeseed straw pellets) burned in modern and old heating systems. The highest emissions were obtained for biomass fuels especially birch firewood. BC aerosol particles produced by the condensation mechanism during the combustion processes were found in all samples taken from the leaf surface. The short-term effect of BC exposure on photosynthetic pigments (chlorophyll a and b; and carotenoids) in the foliage of one-year-old Norway spruce and silver birch seedlings was evaluated by the experiment carried out in the phytotron greenhouse. The seedlings showed different short-term responses to BC exposure. All treatments applied in the phytotron greenhouse resulted in lower chlorophyll content in spruce foliage compared to natural conditions but not differed for birch seedlings. However, the exposure of BC particles on the spruce and birch seedlings in the phytotron increased the content of photosynthetic pigments compared to the control seedlings in the phytotron. Overall, urban trees can help improve air quality by reducing BC levels through dry deposition on tree foliage, and needle-like trees are more efficient than broad-leaved trees in capturing BC. Nevertheless, a further study could assess the longer-term effects of BC particles on tree biochemical and chemical reactions.
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Affiliation(s)
- Steigvilė Byčenkienė
- SRI Center for Physical Sciences and Technology (FTMC), Saulėtekio ave. 3, Vilnius, Lithuania
| | - Daria Pashneva
- SRI Center for Physical Sciences and Technology (FTMC), Saulėtekio ave. 3, Vilnius, Lithuania
| | - Ieva Uogintė
- SRI Center for Physical Sciences and Technology (FTMC), Saulėtekio ave. 3, Vilnius, Lithuania
| | - Julija Pauraitė
- SRI Center for Physical Sciences and Technology (FTMC), Saulėtekio ave. 3, Vilnius, Lithuania
| | - Agnė Minderytė
- SRI Center for Physical Sciences and Technology (FTMC), Saulėtekio ave. 3, Vilnius, Lithuania
| | - Lina Davulienė
- SRI Center for Physical Sciences and Technology (FTMC), Saulėtekio ave. 3, Vilnius, Lithuania
| | - Kristina Plauškaitė
- SRI Center for Physical Sciences and Technology (FTMC), Saulėtekio ave. 3, Vilnius, Lithuania
| | - Martynas Skapas
- SRI Center for Physical Sciences and Technology (FTMC), Saulėtekio ave. 3, Vilnius, Lithuania
| | - Vadimas Dudoitis
- SRI Center for Physical Sciences and Technology (FTMC), Saulėtekio ave. 3, Vilnius, Lithuania
| | - Gill Touqeer
- SRI Center for Physical Sciences and Technology (FTMC), Saulėtekio ave. 3, Vilnius, Lithuania
| | - Jelena Andriejauskiene
- SRI Center for Physical Sciences and Technology (FTMC), Saulėtekio ave. 3, Vilnius, Lithuania
| | - Valda Araminienė
- Lithuanian Research Centre for Agriculture and Forestry, Instituto av. 1, Akademija, Kėdainiai distr., Lithuania.
| | | | | | | | | | - Nerijus Pedišius
- Lithuanian Energy Institute, Breslaujos str. 3, Kaunas, Lithuania
| | - Egidijus Lemanas
- Lithuanian Energy Institute, Breslaujos str. 3, Kaunas, Lithuania
| | - Tomas Vonžodas
- Lithuanian Energy Institute, Breslaujos str. 3, Kaunas, Lithuania
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19
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Retrieval of Black Carbon Absorption Aerosol Optical Depth from AERONET Observations over the World during 2000–2018. REMOTE SENSING 2022. [DOI: 10.3390/rs14061510] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Abstract
Black carbon (BC) absorption aerosol optical depth (AAODBC) defines the contribution of BC in light absorption and is retrievable using sun/sky radiometer measurements provided by Aerosol Robotic Network (AERONET) inversion products. In this study, we utilized AERONET-retrieved depolarization ratio (DPR, δp), single scattering albedo (SSA, ω), and Ångström Exponent (AE, å) of version 3 level 2.0 products as indicators to estimate the contribution of BC to the absorbing fractions of AOD. We applied our methodology to the AERONET sites, including North and South America, Europe, East Asia, Africa, India, and the Middle East, during 2000–2018. The long-term AAODBC showed a downward tendency over Sao Paulo (−0.001 year−1), Thessaloniki (−0.0004 year−1), Beijing (−0.001 year−1), Seoul (−0.0015 year−1), and Cape Verde (−0.0009 year−1) with the highest values over the populous sites. This declining tendency in AAODBC can be attributable to the successful emission control policies over these sites, particularly in Europe, America, and China. The AAODBC at the Beijing, Sao Paulo, Mexico City, and the Indian sites showed a clear seasonality indicating the notable role of residential heating in BC emissions over these sites during winter. We found a higher correlation between AAODBC and fine mode AOD at 440 nm at all sites except for Beijing. High pollution episodes, BC emission from different sources, and aggregation properties seem to be the main drivers of higher AAODBC correlation with coarse particles over Beijing.
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20
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Pani SK, Lee CT, Griffith SM, Lin NH. Humic-like substances (HULIS) in springtime aerosols at a high-altitude background station in the western North Pacific: Source attribution, abundance, and light-absorption. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 809:151180. [PMID: 34699812 DOI: 10.1016/j.scitotenv.2021.151180] [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: 07/27/2021] [Revised: 10/19/2021] [Accepted: 10/19/2021] [Indexed: 06/13/2023]
Abstract
Atmospheric humic-like substances (HULIS) are important components of biomass-burning (BB) emissions and highly associated with light-absorbing organic aerosols (often referred to as brown carbon). This study highlights the importance of BB-emitted HULIS aerosols in peninsular Southeast Asian outflow to the subtropical western North Pacific. We determined various key light-absorbing characteristics of HULIS i.e. mass absorption cross-section (MACHULIS), absorbing component of the refractive index (kHULIS), and absorption Ångström exponent (AAEHULIS) based on ground-based aerosol light absorption measurements along with HULIS concentrations in springtime aerosols at Lulin Atmospheric Background Station (LABS; 2862 m above mean sea level), which is a representative high-altitude remote site in the western North Pacific. Daily variations of HULIS (0.58-12.92 μg m-3) at LABS were mostly linked with the influence from incoming air-masses, while correlations with BB tracers and secondary aerosols indicated the attribution of primary and secondary sources. Stronger light absorption capability of HULIS was clearly evident from MACHULIS and kHULIS values at 370 nm, which were about ~1.5 times higher during BB-dominated days (1.16 ± 0.75 m2 g-1 and 0.05 ± 0.03, respectively) than that during non-BB days (0.77 ± 0.89 m2 g-1 and 0.03 ± 0.04, respectively). Estimates from a simple radiative transfer model showed that HULIS absorption can add as much as 15.13 W g-1 to atmospheric warming, and ~46% more during BB-dominated than non-BB period, highlighting that HULIS light absorption may significantly affect the Earth-atmosphere system and tropospheric photochemistry over the western North Pacific.
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Affiliation(s)
- Shantanu Kumar Pani
- Department of Atmospheric Sciences, National Central University, Taoyuan 32001, Taiwan
| | - Chung-Te Lee
- Graduate Institute of Environmental Engineering, National Central University, Taoyuan 32001, Taiwan; Center for Environmental Monitoring and Technology, National Central University, Taoyuan 32001, Taiwan
| | - Stephen M Griffith
- Department of Atmospheric Sciences, National Central University, Taoyuan 32001, Taiwan
| | - Neng-Huei Lin
- Department of Atmospheric Sciences, National Central University, Taoyuan 32001, Taiwan; Center for Environmental Monitoring and Technology, National Central University, Taoyuan 32001, Taiwan.
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21
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Vaezzadeh V, Yi X, Rais FR, Bong CW, Thomes MW, Lee CW, Zakaria MP, Wang AJ, Zhong G, Zhang G. Distribution of black carbon and PAHs in sediments of Peninsular Malaysia. MARINE POLLUTION BULLETIN 2021; 172:112871. [PMID: 34428623 DOI: 10.1016/j.marpolbul.2021.112871] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 08/08/2021] [Accepted: 08/13/2021] [Indexed: 06/13/2023]
Abstract
Concentrations, sources and interactions between black carbon (BC) and polycyclic aromatic hydrocarbons (PAHs) were investigated in 42 sediment samples collected from riverine, coastal and shelf areas in Peninsular Malaysia. The concentrations of BC measured by benzene polycarboxylic acid (BPCA) method and PAHs showed broad spatial variations between the relatively pristine environment of the East coast and developed environment of the West and South coast ranging from 0.02 to 0.36% dw and 57.7 ng g-1 dw to 19,300 ng g-1 dw, respectively. Among diagnostic ratios of PAHs, the ratios of Ant/(Ant+Phe) and LMW/HMW drew the clearest distinctions between the East coast versus the West and South coast sediments indicating the predominance of petrogenic sources in the former versus pyrogenic sources in the latter. PAHs significantly correlated with BC and total organic carbon (TOC) in the sediments (p < 0.05) having similar correlation coefficients. BC accounted for 6.06 to 30.6% of TOC in sediments.
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Affiliation(s)
- Vahab Vaezzadeh
- State Key Laboratory of Organic Geochemistry and Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; CAS Center for Excellence in Deep Earth Science, Guangzhou 510640, China; Institute of Ocean and Earth Sciences, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Xin Yi
- State Key Laboratory of Organic Geochemistry and Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Farah Rasyidah Rais
- Institute of Ocean and Earth Sciences, University of Malaya, 50603 Kuala Lumpur, Malaysia; Institute for Advanced Studies, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Chui Wei Bong
- Institute of Ocean and Earth Sciences, University of Malaya, 50603 Kuala Lumpur, Malaysia; Laboratory of Microbial Ecology, Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia.
| | - Margaret William Thomes
- Institute of Ocean and Earth Sciences, University of Malaya, 50603 Kuala Lumpur, Malaysia; Institute for Advanced Studies, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Choon Weng Lee
- Institute of Ocean and Earth Sciences, University of Malaya, 50603 Kuala Lumpur, Malaysia; Laboratory of Microbial Ecology, Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Mohamad Pauzi Zakaria
- Institute of Ocean and Earth Sciences, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Ai Jun Wang
- Laboratory for Coast and Ocean Geology, Third Institute of Oceanography (TIO), Ministry of Natural Resources, Xiamen 361005, China
| | - Guangcai Zhong
- State Key Laboratory of Organic Geochemistry and Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; CAS Center for Excellence in Deep Earth Science, Guangzhou 510640, China.
| | - Gan Zhang
- State Key Laboratory of Organic Geochemistry and Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; CAS Center for Excellence in Deep Earth Science, Guangzhou 510640, China
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22
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Evaluation of Machine Learning Models for Estimating PM2.5 Concentrations across Malaysia. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app11167326] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Southeast Asia (SEA) is a hotspot region for atmospheric pollution and haze conditions, due to extensive forest, agricultural and peat fires. This study aims to estimate the PM2.5 concentrations across Malaysia using machine-learning (ML) models like Random Forest (RF) and Support Vector Regression (SVR), based on satellite AOD (aerosol optical depth) observations, ground measured air pollutants (NO2, SO2, CO, O3) and meteorological parameters (air temperature, relative humidity, wind speed and direction). The estimated PM2.5 concentrations for a two-year period (2018–2019) are evaluated against measurements performed at 65 air-quality monitoring stations located at urban, industrial, suburban and rural sites. PM2.5 concentrations varied widely between the stations, with higher values (mean of 24.2 ± 21.6 µg m−3) at urban/industrial stations and lower (mean of 21.3 ± 18.4 µg m−3) at suburban/rural sites. Furthermore, pronounced seasonal variability in PM2.5 is recorded across Malaysia, with highest concentrations during the dry season (June–September). Seven models were developed for PM2.5 predictions, i.e., separately for urban/industrial and suburban/rural sites, for the four dominant seasons (dry, wet and two inter-monsoon), and an overall model, which displayed accuracies in the order of R2 = 0.46–0.76. The validation analysis reveals that the RF model (R2 = 0.53–0.76) exhibits slightly better performance than SVR, except for the overall model. This is the first study conducted in Malaysia for PM2.5 estimations at a national scale combining satellite aerosol retrievals with ground-based pollutants, meteorological factors and ML techniques. The satisfactory prediction of PM2.5 concentrations across Malaysia allows a continuous monitoring of the pollution levels at remote areas with absence of measurement networks.
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23
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Suhaimi NF, Jalaludin J, Abu Bakar S. The Influence of Traffic-Related Air Pollution (TRAP) in Primary Schools and Residential Proximity to Traffic Sources on Histone H3 Level in Selected Malaysian Children. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18157995. [PMID: 34360284 PMCID: PMC8345469 DOI: 10.3390/ijerph18157995] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 07/12/2021] [Accepted: 07/21/2021] [Indexed: 02/07/2023]
Abstract
This study aimed to investigate the association between traffic-related air pollution (TRAP) exposure and histone H3 modification among school children in high-traffic (HT) and low-traffic (LT) areas in Malaysia. Respondents' background information and personal exposure to traffic sources were obtained from questionnaires distributed to randomly selected school children. Real-time monitoring instruments were used for 6-h measurements of PM10, PM2.5, PM1, NO2, SO2, O3, CO, and total volatile organic compounds (TVOC). Meanwhile, 24-h measurements of PM2.5-bound black carbon (BC) were performed using air sampling pumps. The salivary histone H3 level was captured using an enzyme-linked immunosorbent assay (ELISA). HT schools had significantly higher PM10, PM2.5, PM1, BC, NO2, SO2, O3, CO, and TVOC than LT schools, all at p < 0.001. Children in the HT area were more likely to get higher histone H3 levels (z = -5.13). There were positive weak correlations between histone H3 level and concentrations of NO2 (r = 0.37), CO (r = 0.36), PM1 (r = 0.35), PM2.5 (r = 0.34), SO2 (r = 0.34), PM10 (r = 0.33), O3 (r = 0.33), TVOC (r = 0.25), and BC (r = 0.19). Overall, this study proposes the possible role of histone H3 modification in interpreting the effects of TRAP exposure via non-genotoxic mechanisms.
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Affiliation(s)
- Nur Faseeha Suhaimi
- Department of Environmental and Occupational Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Malaysia;
| | - Juliana Jalaludin
- Department of Environmental and Occupational Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Malaysia;
- Department of Occupational Health and Safety, Faculty of Public Health, Universitas Airlangga, Surabaya 60115, Indonesia
- Correspondence: ; Tel.: +603-97692401
| | - Suhaili Abu Bakar
- Department of Biomedical Science, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Malaysia;
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24
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Pani SK, Lin NH, Griffith SM, Chantara S, Lee CT, Thepnuan D, Tsai YI. Brown carbon light absorption over an urban environment in northern peninsular Southeast Asia. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 276:116735. [PMID: 33611195 DOI: 10.1016/j.envpol.2021.116735] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 01/17/2021] [Accepted: 02/09/2021] [Indexed: 06/12/2023]
Abstract
Light-absorbing organic carbon (or brown carbon, BrC) has been recognized as a critical driver in regional-to-global climate change on account of its significant contribution to light absorption. BrC sources vary from primary combustion processes (burning of biomass, biofuel, and fossil fuel) to secondary formation in the atmosphere. This paper investigated the light-absorbing properties of BrC such as site-specific mass absorption cross-section (MACBrC), absorption Ångström exponent (AAEBrC), and the absorbing component of the refractive index (kBrC) by using light absorption measurements from a 7-wavelength aethalometer over an urban environment of Chiang Mai, Thailand in northern peninsular Southeast Asia (PSEA), from March to April 2016. The contribution of BrC to total aerosol absorption (mean ± SD) was 46 ± 9%, 29 ± 7%, 24 ± 6%, 20 ± 4%, and 15 ± 3% at 370, 470, 520, 590, and 660 nm, respectively, highlighting the significant influence of BrC absorption on the radiative imbalance over northern PSEA. Strong and significant associations between BrC light absorption and biomass-burning (BB) organic tracers highlighted the influence of primary BB emissions. The median MACBrC and kBrC values at 370 nm were 2.4 m2 g-1 and 0.12, respectively. The fractional contribution of solar radiation absorbed by BrC relative to BC (mean ± SD) in the 370-950 nm range was estimated to be 34 ± 7%, which can significantly influence the regional radiation budget and consequently atmospheric photochemistry. This study provides valuable information to understand BrC absorption over northern PSEA and can be used in model simulations to reassess the regional climatic impact with greater accuracy.
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Affiliation(s)
- Shantanu Kumar Pani
- Department of Atmospheric Sciences, National Central University, Taoyuan, 32001, Taiwan
| | - Neng-Huei Lin
- Department of Atmospheric Sciences, National Central University, Taoyuan, 32001, Taiwan; Center for Environmental Monitoring and Technology, National Central University, Taoyuan, 32001, Taiwan.
| | - Stephen M Griffith
- Department of Atmospheric Sciences, National Central University, Taoyuan, 32001, Taiwan
| | - 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
| | - Chung-Te Lee
- Graduate Institute of Environmental Engineering, National Central University, Taoyuan, 32001, Taiwan
| | - Duangduean Thepnuan
- Environmental Chemistry Research Laboratory, Department of Chemistry, Faculty of Science, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Ying I Tsai
- Department of Environmental Engineering and Science, Chia Nan University of Pharmacy and Science, Tainan, 71710, Taiwan
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25
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Adam MG, Tran PTM, Bolan N, Balasubramanian R. Biomass burning-derived airborne particulate matter in Southeast Asia: A critical review. JOURNAL OF HAZARDOUS MATERIALS 2021; 407:124760. [PMID: 33341572 DOI: 10.1016/j.jhazmat.2020.124760] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 11/10/2020] [Accepted: 12/01/2020] [Indexed: 06/12/2023]
Abstract
Smoke haze episodes, resulting from uncontrolled biomass burning (BB) including forest and peat fires, continue to occur in Southeast Asia (SEA), affecting air quality, atmospheric visibility, climate, ecosystems, hydrologic cycle and human health. The pollutant of major concern in smoke haze is airborne particulate matter (PM). A number of fundamental laboratory, field and modeling studies have been conducted in SEA from 2010 to 2020 to investigate potential environmental and health impacts of BB-induced PM. The goal of this review is to bring together the most recent developments in our understanding of various aspects of BB-derived PM based on 127 research articles published from 2010 to 2020, which have not been conveyed in previous reviews. Specifically, this paper discusses the physical, chemical, toxicological and radiative properties of BB-derived PM. It also provides insights into the environmental and health impacts of BB-derived PM, summarizes the approaches taken to do the source apportionment of PM during BB events and discusses the mitigation of exposure to BB-derived PM. Suggestions for future research priorities are outlined. Policies needed to prevent future BB events in the SEA region are highlighted.
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Affiliation(s)
- Max G Adam
- Department of Civil and Environmental Engineering, National University of Singapore, Singapore 117576, Singapore
| | - Phuong T M Tran
- Department of Civil and Environmental Engineering, National University of Singapore, Singapore 117576, Singapore; Faculty of Environment, University of Science and Technology, The University of Danang, 54 Nguyen Luong Bang Street, Lien Chieu District, Danang City, Viet Nam
| | - Nanthi Bolan
- Global Centre for Environmental Remediation, The University of Newcastle, Callaghan, NSW 2308, Australia
| | - Rajasekhar Balasubramanian
- Department of Civil and Environmental Engineering, National University of Singapore, Singapore 117576, Singapore.
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26
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Sahoo PK, Salomão GN, da Silva Ferreira Júnior J, de Lima Farias D, Powell MA, Mittal S, Garg VK. COVID-19 lockdown: a rare opportunity to establish baseline pollution level of air pollutants in a megacity, India. INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY : IJEST 2021; 18:1269-1286. [PMID: 33643420 PMCID: PMC7899058 DOI: 10.1007/s13762-021-03142-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 11/25/2020] [Accepted: 01/09/2021] [Indexed: 05/30/2023]
Abstract
UNLABELLED This paper analyses air quality data from megacity Delhi, India, during different periods related to the COVID-19, including pre-lockdown, lockdown and unlocked (post-lockdown) (2018-2020) to determine what baseline levels of air pollutants might be and the level of impact that could be anticipated under the COVID-19 lockdown emission scenario. The results show that air quality improved significantly during the lockdown phases, with the most significant changes occurring in the transportation and industrially dominated areas. A pronounced decline in PM2.5 and PM10 up to 63% and 58%, respectively, was observed during the lockdown compared to the pre-lockdown period in 2020. When compared to 2018 and 2019, they were lower by up to 51% and 61%, respectively, dropping by 56% during unlock. Some pollutants (NOx and CO) dropped significantly during lockdown, while SO2 and O3 declined only slightly. Moreover, when compared between the different phases of lockdown, the maximum decline for most of the pollutants and air quality index occurred during the lockdown phase 1; thus, this period was used to report the COVID-19 baseline threshold values (CBT; threshold value is the upper limit of baseline variation). Of the various statistical methods used median + 2 median absolute deviation (mMAD) was most suitable, indicating CBT values of 143 and 75 ug/m3 for PM10 and PM2.5, respectively. This results although preliminary, but it gives a positive indication that temporary lockdown can be considered as a boon to mitigate the damage we have done to the environment. Also, this baseline levels can be helpful as a first line of information to set future target limits or to develop effiective management policies for achieving better air quality in urban centres like Delhi. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s13762-021-03142-3.
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Affiliation(s)
- P. K. Sahoo
- Department of Environmental Science and Technology, Central University of Punjab, Ghudda, Bathinda, 151401 Punjab India
- Instituto Tecnológico Vale (ITV), Rua Boaventura da Silva, 955, Belém, PA 66055-090 Brazil
| | - G. N. Salomão
- Instituto Tecnológico Vale (ITV), Rua Boaventura da Silva, 955, Belém, PA 66055-090 Brazil
- Programa de Pós-Graduação em Geologia e Geoquímica (PPGG), Instituto de Geociências (IG), Universidade Federal Do Pará (UFPA), Rua Augusto Corrêa, 1, Belém, PA 66075-110 Brazil
| | | | - D. de Lima Farias
- Instituto Tecnológico Vale (ITV), Rua Boaventura da Silva, 955, Belém, PA 66055-090 Brazil
| | - M. A. Powell
- Department of Renewable Resources, University of Alberta, Edmonton, Canada
| | - S. Mittal
- Department of Environmental Science and Technology, Central University of Punjab, Ghudda, Bathinda, 151401 Punjab India
| | - V. K. Garg
- Department of Environmental Science and Technology, Central University of Punjab, Ghudda, Bathinda, 151401 Punjab India
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27
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Sahoo PK, Mangla S, Pathak AK, Salãmao GN, Sarkar D. Pre-to-post lockdown impact on air quality and the role of environmental factors in spreading the COVID-19 cases - a study from a worst-hit state of India. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2021; 65:205-222. [PMID: 33034718 PMCID: PMC7544766 DOI: 10.1007/s00484-020-02019-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Accepted: 09/09/2020] [Indexed: 05/11/2023]
Abstract
The present study aims to examine the changes in air quality during different phases of the COVID-19 pandemic, including the lockdown (LD1-4) and unlock period (UL1-2) (post-lockdown) as compared to pre-lockdown (PL1-3) and to establish the relationships of the environmental and demographic variables with COVID-19 cases in the state of Maharashtra, the worst-hit state in India. Atmospheric pollutants such as PM2.5, PM10, NOx, and CO were substantially reduced during the lockdown and unlock phases with the greatest reduction in cities having larger traffic volumes. Compared with the immediate pre-lockdown period (PL3), the averaged PM2.5 and PM10 reduced by up to 51% and 47% respectively during the lockdown periods, which resulted in 'satisfactory' level of air quality index (AQI) as a result of reduced vehicular traffic and industrial closing. These parameters continued to reduce as much as 80% during the unlock periods due to the additive impact of weather (rainfall and temperature) combined with the lockdown conditions. Kendall's correlation matrix showed a significant negative correlation between temperature and air pollutants (r= - 0.35 to - 057). Conversely, SO2 and O3 did not improve, and in some cases, they increased during the lockdown and unlocking. COVID-19 spreading incidences were strongly and positively correlated with temperature (r < 0.62) and dew point (r < 0.73). Thus, this indicates that the increase in temperature and dew point cannot weaken the transmission of this virus. The number of COVID-19 cases relative to air pollutants was negatively correlated (r = - 0.33 to - 0.74), which may be a mere coincidence as a result of lockdown. However, based on pre-lockdown air quality data and demographic factors, it was found that particulate matter (PM2.5 and PM10) and population density are closely linked with higher morbidity and mortality although a more in-depth research is required in this direction to validate this finding. The onset of COVID-19 has allowed us to determine that 'immediate' changes in air quality within densely populated/industrialized areas can improve livelihood based on pollution mitigation. These findings could be used by policymakers to set new benchmarks for air pollution that would improve the quality of life for major sectors of the World's population. COVID-19 has shown us that we can make changes when necessary, and findings may pave the way for future research to inform policy on the tough choices we will have to make between quality of life and survival. Also, our results will enrich the ongoing discussion on the role of environmental factors on the transmission of COVID-19 and will help to take necessary steps for its control.
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Affiliation(s)
- Prafulla Kumar Sahoo
- Department of Environmental Science and Technology, Central University of Punjab, Bathinda, Punjab, 151001, India.
- Instituto Tecnológico Vale, Belém, PA, 66055-090, Brazil.
| | - Sherry Mangla
- Department of Mathematics and Statistics, Central University of Punjab, Bathinda, Punjab, 151001, India
| | - Ashok Kumar Pathak
- Department of Mathematics and Statistics, Central University of Punjab, Bathinda, Punjab, 151001, India
| | - Gabriel Negreiros Salãmao
- Programa de Pós-graduação em Geologia e Geoquímica (PPGG), Instituto de Geociências (IG), Universidade Federal do Pará (UFPA), Rua Augusto Corrêa, 1, Belém, PA, 66075-110, Brazil
| | - Dibyendu Sarkar
- Department of Civil, Environmental and Ocean Engineering, Stevens Institute of Technology, Castle Point on Hudson, Hoboken, NJ, 07030, USA
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28
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Ambade B, Sankar TK, Kumar A, Gautam AS, Gautam S. COVID-19 lockdowns reduce the Black carbon and polycyclic aromatic hydrocarbons of the Asian atmosphere: source apportionment and health hazard evaluation. ENVIRONMENT, DEVELOPMENT AND SUSTAINABILITY 2021; 23:12252-12271. [PMID: 33424424 PMCID: PMC7779106 DOI: 10.1007/s10668-020-01167-1] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 12/15/2020] [Indexed: 05/03/2023]
Abstract
ABSTRACT The entire world is affected by Coronavirus disease (COVID-19), which is spreading worldwide in a short time. India is one of the countries which is affected most, therefore, the Government of India has implemented several lockdowns in the entire country from April 25, 2020. We studied air pollutants (i.e., PM2.5, Black Carbon (BC), and Polycyclic Aromatic Hydrocarbons (PAHs) level, and observed significantly sudden reduced. In India, most of the anthropogenic activities completely stopped. Therefore, we studied the levels of BC, PAHs and PM2.5 concentrations, their sources apportion, and health risk assessment during normal days, lockdown (from lockdown 1.0 to lockdown 4.0) and unlock down 1.0 situation at Sakchi, Jamshedpur city. It was observed that lockdowns and unlock down situations BC, PAHs and PM2.5 concentrations were significantly lower than regular days. We applied the advanced air mass back trajectory (AMBT) model to locate airborne particulate matter dispersal from different directions to strengthen the new result. The diagnostic ratio analyses of BC shows that wood burning contribution was too high during the lockdown situations. However, during normal days, the PAHs source profile was dedicated toward biomass, coal burning, and vehicle emission as primary sources of PAHs. During the lockdown period, emission from biomass and coal burning was a significant contributor to PAHs. The summaries of health risk assessment of BC quantified an equal number of passively smoked cigarettes (PSC) for an individual situation was studied. This study focuses on the overall climate impact of pandemic situations.
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Affiliation(s)
- Balram Ambade
- Department of Chemistry, National Institute of Technology, Jamshedpur, 831014 Jharkhand India
| | - Tapan Kumar Sankar
- Department of Chemistry, National Institute of Technology, Jamshedpur, 831014 Jharkhand India
| | - Amit Kumar
- Department of Chemistry, National Institute of Technology, Jamshedpur, 831014 Jharkhand India
| | - Alok Sagar Gautam
- Department of Physics, Hemvati Nandan Bahuguna Garhwal University, Srinagar, Garhwal, Uttarakhand 246174 India
| | - Sneha Gautam
- Karunya Institute of Technology and Sciences, Coimbatore, 641114 Tamil Nadu India
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Ambade B, Kurwadkar S, Sankar TK, Kumar A. Emission reduction of black carbon and polycyclic aromatic hydrocarbons during COVID-19 pandemic lockdown. AIR QUALITY, ATMOSPHERE, & HEALTH 2021; 14:1081-1095. [PMID: 33995690 PMCID: PMC8109221 DOI: 10.1007/s11869-021-01004-y] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 02/25/2021] [Indexed: 05/05/2023]
Abstract
The global pandemic COVID-19 necessitated various responses throughout the world, including social distancing, use of mask, and complete lockdown. While these measures helped prevent the community spread of the virus, the resulting environmental benefits of lockdown remained mostly unnoticed. While many studies documented improvements in air quality index, very few have explored the reduction in black carbon (BC) aerosols and polycyclic aromatic hydrocarbons (PAHs) concentrations due to lockdown. In this study, we evaluated the changes in concentrations of BC, PAHs, and PM2.5 before and during the lockdown period. Our results show that lockdown resulted in a significant reduction in concentrations of these pollutants. The average mass concentration of BC, PAHs, and PM2.5 before the lockdown was 11.71 ± 3.33 μgm-3, 108.71 ± 27.77 ngm-3, and 147.65 ± 41.77 μgm-3, respectively. During the lockdown period, the concentration of BC, PAHs, and PM2.5 was 2.46 ± 0.95 μgm-3, 23.19 ± 11.21 ngm-3, and 50.31 ± 11.95 μgm-3, respectively. The diagnostic ratio analysis for source apportionment showed changes in the emission sources before and during the lockdown. The primary sources of PAHs emissions before the lockdown were biomass, coal combustion, and vehicular traffic, while during the lockdown, PAHs emissions were primarily from the combustion of biomass and coal. Similarly, before the lockdown, the BC mass concentrations came from fossil-fuel and wood-burning, while during the lockdown period, most of the BC mass concentration came from wood-burning. Human health risk assessment demonstrated a significant reduction in risk due to inhalation of PAHs and BC-contaminated air.
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Affiliation(s)
- Balram Ambade
- Department of Chemistry, National Institute of Technology, Jamshedpur, Jharkhand 831014 India
| | - Sudarshan Kurwadkar
- Department of Civil and Environmental Engineering, California State University, Fullerton, 800 N. State College Blvd, Fullerton, CA USA
- Groundwater Characterization and Remediation Division, U. S. Environmental Protection Agency, 919 Kerr Research Dr., Ada, Oklahoma 74820 USA
| | - Tapan Kumar Sankar
- Department of Chemistry, National Institute of Technology, Jamshedpur, Jharkhand 831014 India
| | - Amit Kumar
- Department of Chemistry, National Institute of Technology, Jamshedpur, Jharkhand 831014 India
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Pani SK, Lin NH, RavindraBabu S. Association of COVID-19 pandemic with meteorological parameters over Singapore. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 740:140112. [PMID: 32544735 PMCID: PMC7289735 DOI: 10.1016/j.scitotenv.2020.140112] [Citation(s) in RCA: 126] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Revised: 06/02/2020] [Accepted: 06/09/2020] [Indexed: 05/09/2023]
Abstract
Meteorological parameters are the critical factors affecting the transmission of infectious diseases such as Middle East Respiratory Syndrome (MERS), Severe Acute Respiratory Syndrome (SARS), and influenza. Consequently, infectious disease incidence rates are likely to be influenced by the weather change. This study investigates the role of Singapore's hot tropical weather in COVID-19 transmission by exploring the association between meteorological parameters and the COVID-19 pandemic cases in Singapore. This study uses the secondary data of COVID-19 daily cases from the webpage of Ministry of Health (MOH), Singapore. Spearman and Kendall rank correlation tests were used to investigate the correlation between COVID-19 and meteorological parameters. Temperature, dew point, relative humidity, absolute humidity, and water vapor showed positive significant correlation with COVID-19 pandemic. These results will help the epidemiologists to understand the behavior of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) virus against meteorological variables. This study finding would be also a useful supplement to help the local healthcare policymakers, Center for Disease Control (CDC), and the World Health Organization (WHO) in the process of strategy making to combat COVID-19 in Singapore.
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Affiliation(s)
- Shantanu Kumar Pani
- Department of Atmospheric Sciences, National Central University, Taoyuan 32001, Taiwan
| | - Neng-Huei Lin
- Department of Atmospheric Sciences, National Central University, Taoyuan 32001, Taiwan; Center for Environmental Monitoring and Technology, National Central University, Taoyuan 32001, Taiwan.
| | - Saginela RavindraBabu
- Center for Space and Remote Sensing Research, National Central University, Taoyuan 32001, Taiwan
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Singh A, Chou CCK, Chang SY, Chang SC, Lin NH, Chuang MT, Pani SK, Chi KH, Huang CH, Lee CT. Long-term (2003-2018) trends in aerosol chemical components at a high-altitude background station in the western North Pacific: Impact of long-range transport from continental Asia. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 265:114813. [PMID: 32504975 DOI: 10.1016/j.envpol.2020.114813] [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: 12/05/2019] [Revised: 05/12/2020] [Accepted: 05/12/2020] [Indexed: 06/11/2023]
Abstract
This study examined the long-term trends in chemical components in PM2.5 (particulate matter with aerodynamic diameter ≤2.5 μm) samples collected at Lulin Atmospheric Background Station (LABS) located on the summit of Mt. Lulin (2862 m above mean sea level) in Taiwan in the western North Pacific during 2003-2018. High ambient concentrations of PM2.5 and its chemical components were observed during March and April every year. This enhancement was primarily associated with the long-range transport of biomass burning (BB) smoke emissions from Indochina, as revealed from cluster analysis of backward air mass trajectories. The decreasing trends in ambient concentrations of organic carbon (-0.67% yr-1; p = 0.01), elemental carbon (-0.48% yr-1; p = 0.18), and non-sea-salt (nss) K+ (-0.71% yr-1; p = 0.04) during 2003-2018 indicated a declining effect of transported BB aerosol over the western North Pacific. These findings were supported by the decreasing trend in levoglucosan (-0.26% yr-1; p = 0.20) during the period affected by the long-range transport of BB aerosol. However, NO3- displayed an increasing trend (0.71% yr-1; p = 0.003) with considerable enhancement resulting from the air masses transported from the Asian continent. Given that the decreasing trends were for the majority of the chemical components, the columnar aerosol optical depth (AOD) also demonstrated a decreasing trend (-1.04% yr-1; p = 0.0001) during 2006-2018. Overall decreasing trends in ambient (carbonaceous aerosol and nss-K+) as well as columnar (e.g., AOD) aerosol loadings at the LABS may influence the regional climate, which warrants further investigations. This study provides an improved understanding of the long-term trends in PM2.5 chemical components over the western North Pacific, and the results would be highly useful in model simulations for evaluating the effects of BB transport on an area.
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Affiliation(s)
- Atinderpal Singh
- Graduate Institute of Environmental Engineering, National Central University, Taoyuan, 320, Taiwan
| | - Charles C-K Chou
- Research Center for Environmental Changes, Academia Sinica, Taipei, 115, Taiwan
| | - Shih-Yu Chang
- Department of Public Health, Chung Shan Medical University, Taichung, 402, Taiwan
| | - Shuenn-Chin Chang
- School of Public Health, National Defense Medical Center, Taipei, 114, Taiwan; Environmental Protection Administration, Taipei, 100, Taiwan
| | - Neng-Huei Lin
- Department of Atmospheric Sciences, National Central University, Taoyuan, 320, Taiwan; Center for Environmental Monitoring Technology, National Central University, Taoyuan, 320, Taiwan
| | - Ming-Tung Chuang
- Research Center for Environmental Changes, Academia Sinica, Taipei, 115, Taiwan
| | - Shantanu Kumar Pani
- Department of Atmospheric Sciences, National Central University, Taoyuan, 320, Taiwan
| | - Kai Hsien Chi
- Institute of Environmental and Occupational Health Sciences, National Yang Ming University, Taipei, 112, Taiwan
| | - Chiu-Hua Huang
- Graduate Institute of Environmental Engineering, National Central University, Taoyuan, 320, Taiwan
| | - Chung-Te Lee
- Graduate Institute of Environmental Engineering, National Central University, Taoyuan, 320, Taiwan.
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Kanniah KD, Kamarul Zaman NAF, Kaskaoutis DG, Latif MT. COVID-19's impact on the atmospheric environment in the Southeast Asia region. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 736:139658. [PMID: 32492613 PMCID: PMC7247458 DOI: 10.1016/j.scitotenv.2020.139658] [Citation(s) in RCA: 134] [Impact Index Per Article: 33.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 05/18/2020] [Accepted: 05/22/2020] [Indexed: 05/09/2023]
Abstract
Since its first appearance in Wuhan, China at the end of 2019, the new coronavirus (COVID-19) has evolved a global pandemic within three months, with more than 4.3 million confirmed cases worldwide until mid-May 2020. As many countries around the world, Malaysia and other southeast Asian (SEA) countries have also enforced lockdown at different degrees to contain the spread of the disease, which has brought some positive effects on natural environment. Therefore, evaluating the reduction in anthropogenic emissions due to COVID-19 and the related governmental measures to restrict its expansion is crucial to assess its impacts on air pollution and economic growth. In this study, we used aerosol optical depth (AOD) observations from Himawari-8 satellite, along with tropospheric NO2 column density from Aura-OMI over SEA, and ground-based pollution measurements at several stations across Malaysia, in order to quantify the changes in aerosol and air pollutants associated with the general shutdown of anthropogenic and industrial activities due to COVID-19. The lockdown has led to a notable decrease in AOD over SEA and in the pollution outflow over the oceanic regions, while a significant decrease (27% - 30%) in tropospheric NO2 was observed over areas not affected by seasonal biomass burning. Especially in Malaysia, PM10, PM2.5, NO2, SO2, and CO concentrations have been decreased by 26-31%, 23-32%, 63-64%, 9-20%, and 25-31%, respectively, in the urban areas during the lockdown phase, compared to the same periods in 2018 and 2019. Notable reductions are also seen at industrial, suburban and rural sites across the country. Quantifying the reductions in major and health harmful air pollutants is crucial for health-related research and for air-quality and climate-change studies.
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Affiliation(s)
- Kasturi Devi Kanniah
- Tropical Map Research Group, Faculty of Built Environment & Surveying, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia; Centre for Environmental Sustainability and Water Security (IPASA), Research Institute for Sustainable Environment, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia.
| | | | - Dimitris G Kaskaoutis
- Institute for Environmental Research and Sustainable Development, National Observatory of Athens, 15236 Athens, Greece
| | - Mohd Talib Latif
- Department of Earth Sciences and Environment, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia
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Cheng K, Hao W, Wang Y, Yi P, Zhang J, Ji W. Understanding the emission pattern and source contribution of hazardous air pollutants from open burning of municipal solid waste in China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 263:114417. [PMID: 32220777 DOI: 10.1016/j.envpol.2020.114417] [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: 01/21/2020] [Revised: 03/08/2020] [Accepted: 03/17/2020] [Indexed: 05/20/2023]
Abstract
The open burning of municipal solid waste (MSW) is common in China. Therein, low-temperature anoxic combustion results in the emission of hazardous air pollutants. This study employed a dilution sampling system to conduct open burning testing on MSW samples from different functional urban areas. Additionally, modified combustion efficiency was used to distinguish smoldering and flaming combustion in two of the most common open burning practices in China: pile-up burning and barrel burning. The sampled pollutants included gaseous pollutants (e.g., CO2, CO, SO2, and NOx) and fine particles (PM2.5). This study also analyzed the carbonization compounds, 9 water-soluble ions, and 8 toxic heavy metals in PM2.5. Emission factors of air pollutants from open burning of different MSW compositions and burning modes were determined. The composition of PM2.5 from MSW open burning comprised average 43.9%, 22.5%, and 0.4% of organic carbon (OC), water-soluble ions, and toxic heavy metals (THMs), respectively. OC was found to be the primary component of PM2.5. Based on localized emission factor database, the emissions and source contribution of open burning of MSW in China were quantified. The open burning of MSW can contribute averaged 8.7%, 16.7%, 3.8%, 1.3% of PM2.5, OC, THMs, and gaseous air pollutants of reported emissions of anthropogenic sources, respectively. This work can complement current anthropogenic emission inventory and assist policy-making.
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Affiliation(s)
- Ke Cheng
- School of Environment, Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environmental Pollution Control, Henan Normal University, Xinxiang, Henan, 453007, PR China.
| | - Weiwei Hao
- School of Environment, Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environmental Pollution Control, Henan Normal University, Xinxiang, Henan, 453007, PR China
| | - Yan Wang
- School of Public Health, Xinxiang Medical University, Laboratory of Environmental Pollutants and Health Effects Assessment, Xinxiang 453003, China
| | - Peng Yi
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jiayu Zhang
- Sonny Astani Department of Civil & Environmental Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles 90007, United States
| | - Wanwan Ji
- School of Environment, Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environmental Pollution Control, Henan Normal University, Xinxiang, Henan, 453007, PR China
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Xing L, Li G, Pongpiachan S, Wang Q, Han Y, Cao J, Tipmanee D, Palakun J, Aukkaravittayapun S, Surapipith V, Poshyachinda S. Quantifying the contributions of local emissions and regional transport to elemental carbon in Thailand. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 262:114272. [PMID: 32135434 DOI: 10.1016/j.envpol.2020.114272] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Revised: 02/24/2020] [Accepted: 02/24/2020] [Indexed: 05/24/2023]
Abstract
We used the Weather Research and Forecasting Model coupled with Chemistry (WRF-Chem) to simulate elemental carbon (EC) concentrations in Thailand in 2017. The goals were to quantify the respective contributions of local emissions and regional transport outside Thailand to EC pollution in Thailand, and to identify the most effective emission control strategy for decreasing EC pollution. The simulated EC concentrations in Chiang Mai, Bangkok, and Phuket were comparable with the observation data. The correlation coefficient between the simulated and observed EC concentrations was 0.84, providing a good basis for evaluating EC sources in Thailand. The simulated mean EC concentration over the whole country was the highest (1.38 μg m-3) in spring, and the lowest (0.51 μg m-3) in summer. We conducted several sensitivity simulations to evaluate EC sources. Local emissions (including anthropogenic and biomass burning emissions) and regional transport outside Thailand contributed 81.2% and 18.8% to the annual mean EC concentrations, respectively, indicating that local sources played the dominant role for EC pollution in Thailand. Among the local sources, anthropogenic emissions (including the industry, power plant, residential, and transportation sectors) and biomass burning contributed 75.1% and 6.1% to the annual mean EC concentrations, respectively. As the anthropogenic emissions dominated the EC pollution, we performed four sensitivity simulations by reducing 30% of the emissions from each of the industry, power plant, residential, and transportation sectors in Thailand. The results indicated that controlling transportation emissions in Thailand was the most effective way in reducing the EC pollution. The 30% reduction of transportation emissions decreased the annual mean EC concentrations by 12.1%. In contrast, 30% reductions of the residential, industry, and power plant emissions caused 8.4%, 6.4%, and 4.0% decreases in the annual mean EC concentrations, respectively. The model results could potentially provide useful information for air pollution control strategies in Thailand.
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Affiliation(s)
- Li Xing
- School of Geography and Tourism, Shaanxi Normal University, Xi'an, 710119, China; Key Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China.
| | - Guohui Li
- Key Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China
| | - Siwatt Pongpiachan
- NIDA Center for Research & Development of Disaster Prevention & Management, School of Social and Environmental Development, National Institute of Development Administration (NIDA), 118 Moo 3, Sereethai Road, Klong-Chan, Bangkapi, Bangkok, 10240, Thailand
| | - Qiyuan Wang
- Key Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China
| | - Yongming Han
- Key Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China
| | - Junji Cao
- Key Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China
| | - Danai Tipmanee
- Faculty of Technology and Environment, Prince of Songkla University Phuket Campus 80 M.1 Kathu, Phuket, 83120, Thailand
| | - Jittree Palakun
- Faculty of Education, Valaya Alongkorn Rajabhat University Under the Royal Patronage (VRU), No. 1 Moo 20, Phaholyothin Road, Klong Luang, Pathumthani, 13180, Thailand
| | - Suparerk Aukkaravittayapun
- National Astronomical Research Institute of Thailand (Public Organization), 260 Moo 4, T. Donkaew, A. Maerim, Chiang-Mai, 50180, Thailand
| | - Vanisa Surapipith
- National Astronomical Research Institute of Thailand (Public Organization), 260 Moo 4, T. Donkaew, A. Maerim, Chiang-Mai, 50180, Thailand
| | - Saran Poshyachinda
- National Astronomical Research Institute of Thailand (Public Organization), 260 Moo 4, T. Donkaew, A. Maerim, Chiang-Mai, 50180, Thailand
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