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Huang W, Xiao Y, Li X, Wu C, Zhang C, Wang X. Bibliometric analysis of research hotspots and trends in the field of volatile organic compound (VOC) emission accounting. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024:10.1007/s11356-024-33896-5. [PMID: 38884935 DOI: 10.1007/s11356-024-33896-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 05/30/2024] [Indexed: 06/18/2024]
Abstract
Volatile organic compounds (VOCs) have been extensively studied because of their significant roles as precursors of atmospheric ozone and secondary organic aerosol pollution. The research aims to comprehend the current advancements in domestic and international VOC emission accounting. The study utilized the CiteSpace software to represent the pertinent material from Web of Science visually. The hot spots and future development trends of VOC emission calculation are analyzed from the perspectives of thesis subject words, cooperative relationships, co-citation relationships, journals, and core papers. According to the statistics, the approaches most often employed in VOC accounting between 2013 and 2023 are source analysis and emission factor method. Atmospheric environment is the journal with the most publications in the area. The Chinese Academy of Sciences and the University of Colorado System are prominent institutions in VOC emission accounting research, both domestically and internationally. The primary research focuses on the realm of VOC emission accounting clusters, which are "emission factor," "source analysis," "model," "air quality," and "health." A current trend in VOC emission accounting involves the construction of a VOC emission inventory using a novel model that combines emission factors and source analysis. This study reviews the progress made in calculating volatile organic compound (VOC) emissions over the past decade. It aims to provide researchers with a new perspective to promote the development of this field.
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Affiliation(s)
- Weiqiu Huang
- Jiangsu Provincial Key Laboratory of Oil-Gas Storage and Transportation Technology, Engineering Technology Research Center for Oil Vapor Recovery, Changzhou, 213164, China.
- School of Petroleum and Natural Gas Engineering, Changzhou University, Changzhou, 213164, China.
| | - Yilan Xiao
- Jiangsu Provincial Key Laboratory of Oil-Gas Storage and Transportation Technology, Engineering Technology Research Center for Oil Vapor Recovery, Changzhou, 213164, China
- School of Petroleum and Natural Gas Engineering, Changzhou University, Changzhou, 213164, China
| | - Xufei Li
- Jiangsu Provincial Key Laboratory of Oil-Gas Storage and Transportation Technology, Engineering Technology Research Center for Oil Vapor Recovery, Changzhou, 213164, China
- School of Petroleum and Natural Gas Engineering, Changzhou University, Changzhou, 213164, China
| | - Chunyan Wu
- Jiangsu Provincial Key Laboratory of Oil-Gas Storage and Transportation Technology, Engineering Technology Research Center for Oil Vapor Recovery, Changzhou, 213164, China
- School of Petroleum and Natural Gas Engineering, Changzhou University, Changzhou, 213164, China
| | - Cheng Zhang
- Jiangsu Provincial Key Laboratory of Oil-Gas Storage and Transportation Technology, Engineering Technology Research Center for Oil Vapor Recovery, Changzhou, 213164, China
- School of Petroleum and Natural Gas Engineering, Changzhou University, Changzhou, 213164, China
| | - Xinya Wang
- Jiangsu Provincial Key Laboratory of Oil-Gas Storage and Transportation Technology, Engineering Technology Research Center for Oil Vapor Recovery, Changzhou, 213164, China
- School of Materials Science and Engineering, Changzhou University, Changzhou, 213164, China
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Cheng S, Zhang B, Peng P, Lu F. Health and economic benefits of heavy-duty diesel truck emission control policies in Beijing. ENVIRONMENT INTERNATIONAL 2023; 179:108152. [PMID: 37598595 DOI: 10.1016/j.envint.2023.108152] [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: 06/19/2023] [Revised: 08/03/2023] [Accepted: 08/14/2023] [Indexed: 08/22/2023]
Abstract
PM2.5 emissions from heavy-duty diesel trucks (HDDTs) have a significant impact on air quality, human health, and climate change, and seriously threaten the UN Sustainable Development Goals. Globally, a series of emission control measures have been implemented to reduce pollution emissions from HDDTs. Current studies assessing the impact of these measures on air quality and human health have mainly used coarse-grained emission data as input to dispersion model, resulting in the inability to capture the spatiotemporal variability of pollutant concentrations and tending to increase the uncertainty of health impact assessment results. In this study, we quantified the impact of pollution control policies for HDDTs in Beijing on PM2.5 concentrations, human health, and economic losses by integrating policy scenario analysis, pollution dispersion simulation, public health impact and economic benefit assessment models, supported by high spatiotemporal resolution emission data from HDDTs. The results show that PM2.5 concentrations from HDDTs exhibit significant spatial aggregation characteristics, with the intensity of aggregation at night being about twice as high as that during the day. The emission hotspots are mainly concentrated in the sixth, fifth and fourth rings and major highways. Compared to the "business as usual" scenario in 2018, the current policy of updating the fuel standard to China VI and the emission standard to China 6 can reduce PM2.5 concentrations by 96.72%, thereby avoiding 612 premature deaths, which is equivalent to obtaining economic benefits of 1.65 billion CNY. This study further emphasizes the importance of high spatiotemporal resolution emission data during traffic dispersion modeling. The results can help improve the understanding of the effectiveness of emission reduction measures for HDDTs from a health benefit perspective.
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Affiliation(s)
- Shifen Cheng
- State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Beibei Zhang
- State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Peng Peng
- State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Feng Lu
- State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; The Academy of Digital China, Fuzhou University, Fuzhou, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China.
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Nie W, Liu C, Hua Y, Bao Q, Niu W, Jiang C. Study on PM diffusion and distribution of trackless rubber-tyred vehicle under different driving conditions in underground coal mining environment. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:99484-99500. [PMID: 37612555 DOI: 10.1007/s11356-023-29047-x] [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: 08/12/2022] [Accepted: 07/25/2023] [Indexed: 08/25/2023]
Abstract
Particulate matter (PM) is one of the most harmful exhaust pollutants to human health. In this study, the PM diffusion and distribution emitted by trackless rubber-tyred vehicle under different driving conditions in coal mine were analyzed with numerical simulations and field measurements. The results show that when the vehicle velocity was constant, the PM concentration of the trackless rubber-tyred vehicle decreased with increasing distance from the exhaust pipe orifice. In addition, the proportion of PM with a concentration below 10 mg/m3 was the highest owing to the influences of diffusion and airflow dilution. However, when the diffusion distance is less than 3 m, the PM concentration far exceeds the occupational exposure limit (10 mg/m3). In this case, underground personnel should stay away from the area near and along the exhaust pipe as far as possible. With increasing vehicle velocity, the PM concentration gradient at a diffusion distance of 0-6 m showed the most significant slope. Besides, the concentration fluctuation of PM was the largest and relatively high when the diffusion distance was 5-15 m. Therefore, the area 15 m from the exhaust gas pipe opening of the trackless rubber-tyred vehicle should be controlled. In addition, the relative errors between the measured and numerical simulation results were mostly less than 10%, which proved that the numerical simulation results were reliable.
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Affiliation(s)
- Wen Nie
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, Shandong Province, China.
- State Key Laboratory of Mining Disaster Prevention and Control Co-Found By Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, China.
| | - Chengyi Liu
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, Shandong Province, China
- State Key Laboratory of Mining Disaster Prevention and Control Co-Found By Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, China
| | - Yun Hua
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, Shandong Province, China
- State Key Laboratory of Mining Disaster Prevention and Control Co-Found By Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, China
| | - Qiu Bao
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, Shandong Province, China
- State Key Laboratory of Mining Disaster Prevention and Control Co-Found By Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, China
| | - Wenjin Niu
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, Shandong Province, China
- State Key Laboratory of Mining Disaster Prevention and Control Co-Found By Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, China
| | - Chenwang Jiang
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, Shandong Province, China
- State Key Laboratory of Mining Disaster Prevention and Control Co-Found By Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, China
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Cheng S, Zhang B, Zhao Y, Peng P, Lu F. Multiscale spatiotemporal variations of NO x emissions from heavy duty diesel trucks in the Beijing-Tianjin-Hebei region. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 854:158753. [PMID: 36108863 DOI: 10.1016/j.scitotenv.2022.158753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 08/20/2022] [Accepted: 09/09/2022] [Indexed: 06/15/2023]
Abstract
Heavy-duty diesel trucks (HDDTs) cause serious pollution to urban and regional environment. Understanding the spatiotemporal pattern of pollution emissions and its impact factors is the basis for implementing emission reduction measures. However, since the multiscale emission inventory of HDDTs is not currently established, multiscale analysis of these issues is still lacking. Therefore, this study uses massive trajectory data, detailed vehicle specification information and road network information, combined with localized emission factors, to construct a multiscale NOx emission inventory of HDDTs with high spatiotemporal resolution in the Beijing-Tianjin-Hebei region. Then the multiscale spatiotemporal variations of NOx emissions are analyzed by using spatial statistical indicators and multiscale geographical weighted regression model. The results show that the NOx emissions of HDDTs show different spatiotemporal distribution and aggregation characteristics at different scales. Specifically, link-scale emissions are concentrated to a few highways and are dominated by Low-Low cluster. While county-scale and city-scale emissions are concentrated in the eastern plains, mainly in High-High and Low-Low clusters. There are spatial heterogeneity and multiscale effects of socioeconomic and road attribute characteristics on the NOx emissions from HDDTs. Population density, urbanization rate, proportion of second industry, and proportion of highway affect the NOx emissions of HDDTs globally, while per capita GDP and road density have local effects. Our results extend the scientific understanding of the multiscale spatiotemporal variations of HDDTs and may provide a scientific basis for the development of targeted emission control measures for HDDTs.
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Affiliation(s)
- Shifen Cheng
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Beibei Zhang
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yibo Zhao
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Peng Peng
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Feng Lu
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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Zhang B, Cheng S, Lu F, Lei M. Estimation of exposure and premature mortality from near-roadway fine particulate matter concentrations emitted by heavy-duty diesel trucks in Beijing. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 311:119990. [PMID: 36027625 DOI: 10.1016/j.envpol.2022.119990] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 06/30/2022] [Accepted: 08/13/2022] [Indexed: 06/15/2023]
Abstract
Traffic exhaust is a main source of fine particulate matter (PM2.5) in cities. Heavy-duty diesel trucks (HDDTs), the primary mode of freight transport, contribute significantly to PM2.5, posing a great threat to public health. However, existing research based on dispersion models to simulate pollutant concentrations lacks high-spatiotemporal-resolution emission inventories of HDDTs as input data, and the public health effects of such emissions in different populations have not been thoroughly assessed. To fill this gap, we focused on Beijing as the research area and developed a high-resolution PM2.5 emission inventory for HDDTs based on Global Navigation Satellite System-equipped vehicle trajectory data. We then simulated the fine-scale spatial distribution of diesel-related PM2.5 and assessed the population exposure by integrating the dispersion model and population distributions. Further, we quantified the mortality attributable to noncommunicable diseases (NCDs) plus lower respiratory infections (LRIs) related to PM2.5 emissions from HDDTs. Results showed that 3.3% of Beijing people lived in areas with high PM2.5 HDDT emissions, which were near intercity highways. Furthermore, the estimated number of NCD + LRI annual premature deaths attributed to PM2.5 HDDT emissions in Beijing was 339 (95% CI: 276-401). The NCD + LRI mortality increased with age, and deaths were more frequent in males than females. Our results aid the identification of HDDT PM2.5 emission exposure hotspots for the formulation of effective mitigation measures and provide important insights into the adverse health impacts of HDDT emissions.
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Affiliation(s)
- Beibei Zhang
- State Key Laboratory of Resources and Environmental Information System, IGSNRR, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Shifen Cheng
- State Key Laboratory of Resources and Environmental Information System, IGSNRR, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Feng Lu
- State Key Laboratory of Resources and Environmental Information System, IGSNRR, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Mei Lei
- Institute of Geographic Sciences and Nature Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China
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Zhou B, Ke Q, Wen M, Ying T, Cui G, Zhou Y, Gu Z, Lu H. Catalytic combustion of toluene on Pt/Al2O3 and Pd/Al2O3 catalysts with CeO2, CeO2-Y2O3, La2O3 as coating. J RARE EARTH 2022. [DOI: 10.1016/j.jre.2022.05.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Emission Characteristics and Ozone Formation Potential Assessment of VOCs from Typical Metal Packaging Plants. ATMOSPHERE 2021. [DOI: 10.3390/atmos13010057] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
With the rapid development of metal packaging, volatile organic compounds (VOCs) emissions from the packaging processes are also increasing gradually. It is necessary to research the characteristics of VOCs emissions from such important industrial source and its impact on the possible ozone formation. In this research, three typical metal packaging plants were selected, VOCs emission characteristics were investigated, and their ozone formation potential were evaluated by using maximum incremental reactivity (MIR) coefficient method. The results showed that the VOCs emission characteristics of the selected targets were obviously different. VOCs emitted from plant A and B were mainly oxygenated hydrocarbons, which accounted for 85.02% and 43.17%, respectively. Olefins (62.75%) were the main species of plant C. 2-butanone (82.67%), methylene chloride (23.00%) and ethylene (36.67%) were the major species of plant A, plant B and plant C, respectively. The OFP (ozone formation potential) value of plant B (120.49 mg/m3) was much higher than those values of plant A (643.05 mg/m3) and plant C (3311.73 mg/m3), in which para-xylene, meta-xylene, acetaldehyde and ethylene were the main contributors. The difference in OFP values indicated that water-based ink and water-based coatings should be recommended for large scale application due to less VOCs emission and low ozone formation contribution.
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