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Fu Z, Liu W, Bai X, Yang J, Wu B, Tian H. Emissions of volatile organic compounds from Chinese coal-fired power plants: Characteristics, source profile, inventories, and impacts. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 947:174304. [PMID: 38945240 DOI: 10.1016/j.scitotenv.2024.174304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 06/20/2024] [Accepted: 06/24/2024] [Indexed: 07/02/2024]
Abstract
Volatile organic compounds (VOCs) are key precursors for secondary organic aerosols (SOA) and ozone, imposing severe impacts on human health and environment. Considering the massive coal consumption, coal fired power plants (CFPPs) in China are non-negligible VOCs contributors, whose emission characteristics remain inadequately understood. Here, we investigated emission characteristics of 117 VOCs by field tests in four typical CFPPs, and a latest localized CFPPs source profile was compiled by integrating literature reviews. Then speciated-VOCs emission inventories for 2018-2022 were established based on dynamic emission factors and unit-level activity data. The results suggested that oxygenated VOCs (OVOCs) constituted the dominant group (76.5 %), with propionaldehyde (32.0 %) and formaldehyde (24.5 %) being the predominant species. OVOCs (93.2 %) and aromatics (77.4 %) were identified as the primary contributors to ozone and SOA, respectively. Driven by both the rise in coal consumption and technological advancements, nationwide VOCs emissions decreased from 83,393 t in 2018 to 53,251 t in 2022. Regional disparities and varying rates of decline in provincial emissions were evident, with VOCs emissions predominantly concentrated in northern and eastern provinces. Neimenggu, Shandong, Shanxi, Jiangsu, and Guangdong were identified as the top five provinces with the highest emissions. We believe this study would be conducive to a more comprehensive understanding and effective control of VOCs emissions from CFPPs in China.
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Affiliation(s)
- Zhiqiang Fu
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Wei Liu
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Xiaoxuan Bai
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Junqi Yang
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Bobo Wu
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Hezhong Tian
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China.
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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; 31:42547-42573. [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] [MESH Headings] [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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3
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Gu Y, Liu B, Meng H, Song S, Dai Q, Shi L, Feng Y, Hopke PK. Source apportionment of consumed volatile organic compounds in the atmosphere. JOURNAL OF HAZARDOUS MATERIALS 2023; 459:132138. [PMID: 37531767 DOI: 10.1016/j.jhazmat.2023.132138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Revised: 07/12/2023] [Accepted: 07/23/2023] [Indexed: 08/04/2023]
Abstract
Conventional source apportionments of ambient volatile organic compounds (VOCs) have been based on observed and initial concentrations after photochemical correction. However, these results have not been related to ozone (O3) and secondary organic aerosol (SOA) formation. Thus, the apportioned contributions could not effectively support secondary pollution control development. Source apportionment of the VOCs consumed in forming O3 and SOA is needed. A consumed VOC source apportionment approach was developed and applied to hourly speciated VOCs data from June to August 2022 measured in Laoshan, Qingdao. Biogenic emissions (56.3%), vehicle emissions (17.2%), and gasoline evaporation (9.37%) were the main sources of consumed VOCs. High consumed VOCs from biogenic emissions mainly occurred during transport from parks to the southwest and northwest of study site. During the O3 pollution period, biogenic emissions (46.3%), vehicle emissions (24.2%), and gasoline evaporation (14.3%) provided the largest contributions to the consumed VOCs. However, biogenic emissions contribution increased to 57.1% during the non-O3 pollution period, and vehicle emissions and gasoline evaporation decreased to 16.5% and 9.01%, respectively. Biogenic emissions and the mixed source of combustion sources and solvent use contributed the most to O3 and SOA formation potentials during the O3 pollution period, respectively.
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Affiliation(s)
- Yao Gu
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research, Tianjin 300350, China
| | - Baoshuang Liu
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research, Tianjin 300350, China.
| | - He Meng
- Qingdao Eco-environment Monitoring Center of Shandong Province, Qingdao 266003, China
| | - Shaojie Song
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research, Tianjin 300350, China
| | - Qili Dai
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research, Tianjin 300350, China
| | - Laiyuan Shi
- Qingdao Eco-environment Monitoring Center of Shandong Province, Qingdao 266003, China
| | - Yinchang Feng
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research, Tianjin 300350, China
| | - Philip K Hopke
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA; Institute for a Sustainable Environment, Clarkson University, Potsdam, NY 13699, USA
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Peng Q, Li L, Sun J, He K, Zhang B, Zou H, Xu H, Cao J, Shen Z. VOC emission profiles from typical solid fuel combustion in Fenhe River Basin: Field measurements and environmental implication. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 322:121172. [PMID: 36731736 DOI: 10.1016/j.envpol.2023.121172] [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: 06/24/2022] [Revised: 01/07/2023] [Accepted: 01/28/2023] [Indexed: 06/18/2023]
Abstract
This study examined volatile organic compounds (VOCs) emitted from the combustion of seven typical biomass fuel types in a traditional stove, elevated kang, and biomass furnace and from the combustion of three types of coal in coal furnaces. The results revealed that emission factors (EFs) of VOCs emitted from combustion processes ranged from 48.8 ± 29.1 mg/kg (for anthracite combustion in an outdoor boiler) to 5700 ± 6040 mg/kg (for sesame straw combustion in a traditional stove). Changing the fuel type engendered a more significant EF reduction (82.7%) than changing the stove type (51.8%). The emitted VOCs (including oxygenated VOCs, OVOCs) can be ordered as follows (in descending order) in terms of proportion: OVOCs > alkenes > aromatic VOCs > alkanes > halo hydrocarbons > alkynes. These results indicate solid fuel combustion processes warrant attention because they produce high OVOC emissions. The ozone formation potential (OFP) values derived for VOCs emitted from solid fuel combustion ranged from 5.83 ± 0.72 to 1910 ± 1750 mg/kg. Clean fuel and clean stove technologies both exhibited >80% efficiency levels in reducing OFP emissions (e.g., 80.6% reduction for the optimal fuel; 89.4% reduction for a clean stove). Therefore, the difference between VOC emission profiles from different combustion technologies should not be ignored. This study also noted substantial differences between VOC emissions from residential combustion and industrial combustion. Accordingly, attention should be paid to the local characteristics of fuels and stoves and to VOC emissions from residential combustion.
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Affiliation(s)
- Qin Peng
- Xi'an Key Laboratory of Solid Waste Recycling and Resource Recovery, Department of Environmental Science and Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Lizhen Li
- United Taize (Shanxi) Environmental Technology Development Co., Ltd., Taiyuan, 030006, China
| | - Jian Sun
- Xi'an Key Laboratory of Solid Waste Recycling and Resource Recovery, Department of Environmental Science and Engineering, Xi'an Jiaotong University, Xi'an, 710049, China.
| | - Kun He
- Xi'an Key Laboratory of Solid Waste Recycling and Resource Recovery, Department of Environmental Science and Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Bin Zhang
- Xi'an Key Laboratory of Solid Waste Recycling and Resource Recovery, Department of Environmental Science and Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Haijiang Zou
- Xi'an Key Laboratory of Solid Waste Recycling and Resource Recovery, Department of Environmental Science and Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Hongmei Xu
- Xi'an Key Laboratory of Solid Waste Recycling and Resource Recovery, Department of Environmental Science and Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Junji Cao
- State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710049, China
| | - Zhenxing Shen
- Xi'an Key Laboratory of Solid Waste Recycling and Resource Recovery, Department of Environmental Science and Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
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Wang C, Wang W, Deng W, Zhang S, Shao S, Wen M, Li G, An T. Distribution characteristics, air-water exchange, ozone formation potential and health risk assessments of VOCs emitted from typical coking wastewater treatment process. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 862:160845. [PMID: 36526193 DOI: 10.1016/j.scitotenv.2022.160845] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 11/27/2022] [Accepted: 12/07/2022] [Indexed: 06/17/2023]
Abstract
Coking industry has been considered as important source of volatile organic compounds (VOCs) emissions. However, few studies have emphasized the occurrence and adverse effects of VOCs from coking wastewater treatment processes. In this research, pollution profiles of both air and water phase VOCs in a typical coking wastewater treatment plant were investigated in terms of distribution characteristics, air-water exchange, ozone formation potential (OFP) and associated human health risks. Thirty VOCs were detected in the air phase, in which benzene and naphthalene were found to be the major VOCs with total contribution of 87.81 %. Nineteen VOCs were detected in the water phase, in which benzene, naphthalene and toluene contribute most to total VOCs with total contribution of 75.1 %. The regulating tank (RT) was the major source of VOCs, and the emission rate of total VOCs from all unites was 2711.03 g/d with annual emission of 0.99 t. The emission factor was estimated to be 1.36 g VOCs/m3 wastewater. The air-water exchange was assessed using the Fugacity model, and water-to-air volatilization was predominant based on the net flux of air-water exchange. OFP evaluated by emission factor indicated that the total OFP in RT was the highest (1.52 g O3/m3 wastewater), and toluene contributed 41.8 % of the total OFP, followed by naphthalene accounting for 38.7 % The total carcinogenic risks were in the range of 8.60 × 10-6 to 2.18 × 10-3, in which the RT exceeded the significant risk threshold (>1 × 10-4). The non-carcinogenic risks of hazard quotient value in RT also exceeded the risk threshold (>1), and naphthalene was the major contributor accounting for 79.02 %. These results not only provided comprehensive knowledge on pollution profiles and environmental risks of VOCs during coking wastewater treatment processes, but also facilitated the implement of VOCs regulation and occupational health protection strategies in coking industries.
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Affiliation(s)
- Chao Wang
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Institute of Environmental Health and Pollution control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Wanjun Wang
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Institute of Environmental Health and Pollution control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China.
| | - Weiqiang Deng
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Institute of Environmental Health and Pollution control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Shu Zhang
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Institute of Environmental Health and Pollution control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Shaobin Shao
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Institute of Environmental Health and Pollution control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Meicheng Wen
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Institute of Environmental Health and Pollution control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Guiying Li
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Institute of Environmental Health and Pollution control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Taicheng An
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Institute of Environmental Health and Pollution control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
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Cai C, Li J, He Y, Jia J. Target the neglected VOCs emission from iron and steel industry in China for air quality improvement. FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING 2023; 17:95. [PMID: 36844109 PMCID: PMC9939865 DOI: 10.1007/s11783-023-1695-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/29/2022] [Accepted: 12/23/2022] [Indexed: 06/18/2023]
Abstract
Recent years have witnessed significant improvement in China's air quality. Strict environmental protection measures have led to significant decreases in sulfur dioxide (SO2), nitrogen oxides (NO x ), and particulate matter (PM) emissions since 2013. But there is no denying that the air quality in 135 cities is inferior to reaching the Ambient Air Quality Standards (GB 3095-2012) in 2020. In terms of temporal, geographic, and historical aspects, we have analyzed the potential connections between China's air quality and the iron and steel industry. The non-target volatile organic compounds (VOCs) emissions from iron and steel industry, especially from the iron ore sinter process, may be an underappreciated index imposing a negative effect on the surrounding areas of China. Therefore, we appeal the authorities to pay more attention on VOCs emission from the iron and steel industry and establish new environmental standards. And different iron steel flue gas pollutants will be eliminated concurrently with the promotion and application of new technology.
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Affiliation(s)
- Chenglin Cai
- China-UK Low Carbon College, Shanghai Jiao Tong University, Shanghai, 200240 China
| | - Juexiu Li
- School of Energy & Environment, Zhongyuan University of Technology, Zhengzhou, 450007 China
| | - Yi He
- John Jay College and the Graduate Center, The City University of New York, New York, NY 10019 USA
| | - Jinping Jia
- China-UK Low Carbon College, Shanghai Jiao Tong University, Shanghai, 200240 China
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240 China
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7
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Lv Z, Wu L, Ma C, Sun L, Peng J, Yang L, Wei N, Zhang Q, Mao H. Comparison of CO 2, NO x, and VOCs emissions between CNG and E10 fueled light-duty vehicles. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 858:159966. [PMID: 36347281 DOI: 10.1016/j.scitotenv.2022.159966] [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: 08/22/2022] [Revised: 10/26/2022] [Accepted: 11/01/2022] [Indexed: 06/16/2023]
Abstract
In China, natural gas (NG) is the main vehicle fuel after gasoline and diesel, and the number of NG vehicles ranks first in the world. At present, there are many studies on the conventional gaseous pollutants and particulate matter of NG vehicles, but very few studies on their VOCs. In this study, the chassis dynamometer is used to test CNG/E10 bi-fuel light-duty vehicles, analyze the advantages of CNG in CO2, fuel thermal efficiency, and cost, and discuss its disadvantages in NOx emission. Most importantly, the emission characteristics and ozone formation potential of VOCs in the exhaust of CNG vehicles were analyzed in the study. Compared with E10, CNG fuel can reduce CO2 emission by about 20 %, improve thermal efficiency by about 13 %, and save fuel costs by about 50 %. However, it will increase NOx and NO2 emissions by about 10 % and 13 % respectively. As for VOCs, the emission factor of VOCs from CNG fuel is about 54 % of E10 fuel. The VOCs group with the highest proportion in the exhaust of CNG-fueled vehicles is alkanes, >80 %. while the alkanes and alkenes with the highest proportion in E10 fuel are 30 % and 23 % respectively. C2 VOCs emitted by CNG account for >70 %, while C2 VOCs emitted by E10 are <60 %, followed by C4 VOCs, about 10 % - 30 %. The OFPs of VOCs in CNG exhaust is about 13.7 % of E10. Alkenes contribute the most to ozone, and the OFPs of alkenes in CNG and E10 vehicle exhaust accounts for about 55.3 % and 78.8 % of TVOCs respectively. The results of this study are helpful to improve people's understanding of the environmental value of using NG vehicles.
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Affiliation(s)
- Zongyan Lv
- Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China
| | - Lin Wu
- Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China.
| | - Chao Ma
- Department of Resource Management, Tangshan Normal University, Tangshan 063002, China
| | - Luna Sun
- Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China
| | - Jianfei Peng
- Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China
| | - Lei Yang
- Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China
| | - Ning Wei
- Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China
| | - Qijun Zhang
- Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China
| | - Hongjun Mao
- Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China.
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Guan Y, Shen Y, Liu X, Liu X, Chen J, Li D, Xu M, Wang L, Duan E, Hou L, Han J. Important revelations of different degrees of COVID-19 lockdown on improving regional air quality: a case study of Shijiazhuang, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:21313-21325. [PMID: 36269475 PMCID: PMC9589624 DOI: 10.1007/s11356-022-23715-0] [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: 09/05/2022] [Accepted: 10/14/2022] [Indexed: 05/06/2023]
Abstract
To control the spread of COVID-19, Shijiazhuang implemented two lockdowns of different magnitudes in 2020 (lockdown I) and 2021 (lockdown II). We analyzed the changes in air quality index (AQI), PM2.5, O3, and VOCs during the two lockdowns and the same period in 2019 and quantified the effects of anthropogenic sources during the lockdowns. The results show that AQI decreased by 13.2% and 32.4%, and PM2.5 concentrations decreased by 12.9% and 42.4% during lockdown I and lockdown II, respectively, due to the decrease in urban traffic mobility and industrial activity levels. However, the sudden and unreasonable emission reductions led to an increase in O3 concentrations by 160.6% and 108.4%, respectively, during the lockdown period. To explore the causes of the O3 surge, the major precursors NOx and VOCs were studied separately, and the main VOCs species affecting ozone formation during the lockdown period and the source variation of VOCs were identified, and it is important to note that the relationship between diurnal variation characteristics of VOCs and cooking became apparent during the lockdown period. These findings suggest that regional air quality can be improved by limiting production, but attention should be paid to the surge of O3 caused by unreasonable emission reductions, clarifying the control priorities for urban O3 management.
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Affiliation(s)
- Yanan Guan
- School of Environmental Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, 050018, China
- National Joint Local Engineering Research Center for Volatile Organic Compounds and Odorous Pollution Control, Shijiazhuang, 050018, China
| | - Ying Shen
- School of Environmental Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, 050018, China
| | - Xinyue Liu
- School of Environmental Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, 050018, China
| | - Xuejiao Liu
- School of Environmental Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, 050018, China
| | - Jing Chen
- Shijiazhuang City Environmental Meteorological Center, Shijiazhuang, 050018, China
| | - Dong Li
- Shijiazhuang City Environmental Prediction and Forecast Center, Shijiazhuang, 050018, China
| | - Man Xu
- Shijiazhuang City Environmental Prediction and Forecast Center, Shijiazhuang, 050018, China
| | - Litao Wang
- School of Environmental Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, 050018, China
- National Joint Local Engineering Research Center for Volatile Organic Compounds and Odorous Pollution Control, Shijiazhuang, 050018, China
| | - Erhong Duan
- School of Environmental Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, 050018, China
- National Joint Local Engineering Research Center for Volatile Organic Compounds and Odorous Pollution Control, Shijiazhuang, 050018, China
| | - Li'an Hou
- Xi'an High-Tech Institute, Xi'an, 710025, Shaanxi, China
| | - Jing Han
- School of Environmental Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, 050018, China.
- National Joint Local Engineering Research Center for Volatile Organic Compounds and Odorous Pollution Control, Shijiazhuang, 050018, China.
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Xu Z, Zou Q, Jin L, Shen Y, Shen J, Xu B, Qu F, Zhang F, Xu J, Pei X, Xie G, Kuang B, Huang X, Tian X, Wang Z. Characteristics and sources of ambient Volatile Organic Compounds (VOCs) at a regional background site, YRD region, China: Significant influence of solvent evaporation during hot months. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 857:159674. [PMID: 36283529 DOI: 10.1016/j.scitotenv.2022.159674] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 10/17/2022] [Accepted: 10/19/2022] [Indexed: 06/16/2023]
Abstract
Continuous measurement of 98 volatile organic compounds (VOCs) was conducted during 2017-2019 at a regional background site (Shanxi) located at northeast of Zhejiang Province, YRD region, China. The average concentration of total VOCs (TVOCs) was 25.4 ± 18.4 ppbv, and an increasing trend (+12.2 %) was observed. Alkanes were the most abundant VOC group among all seasons, accounting for 43.5 % of TVOCs. Oxygenated VOCs (OVOCs), aromatics, halides and alkenes contributed 15.9 %, 15.7 %, 11.7 % and 10.3 % of TVOCs concentration, respectively. Biogenic VOCs (BVOCs) and OVOCs showed distinguished diurnal cycle from primary anthropogenic VOCs. Photochemical reactivity analysis based on ozone formation potential (OFP) and OH loss rate (LOH) indicated that aromatics and alkenes were the most significant contributor, respectively. Toluene, xylene (m/p- and o-), ethene and propene were the largest contributor of annual OFP, with the mean OFP being 33.8 ± 44.3 μg·m-3, 31.9 ± 32.1 μg·m-3, 9.29 ± 11.4 μg·m-3, 22.1 ± 21.3 μg·m-3 and 12.8 ± 19.5 μg·m-3, respectively. Seven sources were identified with positive matrix factorization (PMF): petrochemical industry (13.8 %), biogenic emission (1.0 %), solvent usage-toluene (16.9 %), vehicular exhaust (43.8 %), Integrated circuits industry (3.8 %), solvent usage-C8 aromatics (10.9 %), and gasoline evaporation (9.8 %). Vehicular exhaust was the most significant source (43.8 %) during the whole measurement period. Solvent usage, petrochemical industry, and gasoline evaporation showed high temperature dependency. The integrated contribution of solvent usage and industrial processes were higher than vehicular exhaust during hot months. These sources also have higher chemical reactivities and can contribute more on O3 formation. Our results are helpful on determining the control strategies aiming at alleviating O3 pollution.
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Affiliation(s)
- Zhengning Xu
- College of Environmental and Resource Sciences, Zhejiang Provincial Key Laboratory of Organic Pollution Process and Control, Zhejiang University, Hangzhou 310058, China
| | - Qiaoli Zou
- Zhejiang Ecological and Environmental Monitoring Center, Hangzhou 310012, China; Zhejiang Key Laboratory of Ecological and Environmental Monitoring, Forewarning and Quality Control, 310058, China
| | - Lingling Jin
- Zhejiang Ecological and Environmental Monitoring Center, Hangzhou 310012, China; Zhejiang Key Laboratory of Ecological and Environmental Monitoring, Forewarning and Quality Control, 310058, China
| | - Yemin Shen
- Zhejiang Ecological and Environmental Monitoring Center, Hangzhou 310012, China; Zhejiang Key Laboratory of Ecological and Environmental Monitoring, Forewarning and Quality Control, 310058, China
| | - Jiasi Shen
- Zhejiang Ecological and Environmental Monitoring Center, Hangzhou 310012, China; Zhejiang Key Laboratory of Ecological and Environmental Monitoring, Forewarning and Quality Control, 310058, China
| | - Bingye Xu
- Zhejiang Ecological and Environmental Monitoring Center, Hangzhou 310012, China; Zhejiang Key Laboratory of Ecological and Environmental Monitoring, Forewarning and Quality Control, 310058, China
| | - Fangqi Qu
- College of Environmental and Resource Sciences, Zhejiang Provincial Key Laboratory of Organic Pollution Process and Control, Zhejiang University, Hangzhou 310058, China
| | - Fei Zhang
- College of Environmental and Resource Sciences, Zhejiang Provincial Key Laboratory of Organic Pollution Process and Control, Zhejiang University, Hangzhou 310058, China
| | - Jiawei Xu
- School of Atmospheric Sciences, Nanjing University, Nanjing 210093, China
| | - Xiangyu Pei
- College of Environmental and Resource Sciences, Zhejiang Provincial Key Laboratory of Organic Pollution Process and Control, Zhejiang University, Hangzhou 310058, China
| | - Guangzhao Xie
- College of Environmental and Resource Sciences, Zhejiang Provincial Key Laboratory of Organic Pollution Process and Control, Zhejiang University, Hangzhou 310058, China
| | - Binyu Kuang
- College of Environmental and Resource Sciences, Zhejiang Provincial Key Laboratory of Organic Pollution Process and Control, Zhejiang University, Hangzhou 310058, China
| | - Xin Huang
- School of Atmospheric Sciences, Nanjing University, Nanjing 210093, China
| | - Xudong Tian
- Zhejiang Ecological and Environmental Monitoring Center, Hangzhou 310012, China; Zhejiang Key Laboratory of Ecological and Environmental Monitoring, Forewarning and Quality Control, 310058, China
| | - Zhibin Wang
- College of Environmental and Resource Sciences, Zhejiang Provincial Key Laboratory of Organic Pollution Process and Control, Zhejiang University, Hangzhou 310058, China; ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou 311200, China.
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10
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Li Q, Dai L, Wang M, Su G, Wang T, Zhao X, Liu X, Xu Y, Meng J, Shi B. Distribution, influence factors, and biotoxicity of environmentally persistent free radical in soil at a typical coking plant. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 835:155493. [PMID: 35483459 DOI: 10.1016/j.scitotenv.2022.155493] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/25/2021] [Revised: 04/18/2022] [Accepted: 04/20/2022] [Indexed: 06/14/2023]
Abstract
Environmentally persistent free radicals (EPFRs) are emerging pollutants in contaminated soils and have attracted significant attention. Chinese coke production making a great contribution to the globe is increasingly identified as the non-ignorable source of EPFRs. However, the distribution level, influence factors, and biotoxicity of EPFRs at coking sites remain poorly understood. Herein, a typical coking plant in Tangshan, China, featuring two functional regions (the reconstructed project (RP) and elimination engineering (EE)) was used to study the existence of EPFRs. The spin density of the EPFRs in coking soils was 3.20 × 1020-3.11 × 1021 spins/g with g-factor values of 2.0020-2.0036. The EPFRs presented higher concentrations and g-factor values in RP region than in EE region, and a mixture of carbon-centered radicals and carbon-centered radicals with adjacent oxygen atoms as well as carbon-centered radical was ascertained in the former and the latter, respectively. Correlation analysis and FT-ICR-MS results indicated that polycyclic aromatic hydrocarbons (PAH) together with other unsaturated hydrocarbons and condensed aromatic contaminants, might contribute to the EPFRs formation in the soils of RP region, whereas PAHs were the main source of EPFRs in EE region. Soil components were determined to investigate the influence factors in EPFRs formation. Cu and Fe2O3 were recognized as the markedly positive influence factors, while TOC had a negative impact on EPFR formation. Visible light irradiation can induce the transformation and generation of EPFRs. As representative contaminants, both toluene and 2-chlorophenol can create EPFRs in coking soil under visible light irradiation. The potential biotoxicity tests of Photobacterium phosphoreum T3 spp. showed that EPFRs from the soils diminished bacterial luminescence. Such effect was proven to be induced by the OH based on the quenching experiment. Understanding the influence factors of EPFRs formation and their biotoxicity in coking soils is critical for developing risk assessments and prevention strategies.
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Affiliation(s)
- Qianqian Li
- Key Laboratory of Environmental Nanotechnology and Health Effects, State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box 2871, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lingwen Dai
- Key Laboratory of Environmental Nanotechnology and Health Effects, State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box 2871, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Mengjing Wang
- State Key Laboratory of Marine Pollution, City University of Hong Kong, Kowloon, Hong Kong, China
| | - Guijin Su
- Key Laboratory of Environmental Nanotechnology and Health Effects, State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box 2871, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Tieyu Wang
- Guangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Shantou University, Shantou 515063, China
| | - Xu Zhao
- Key Laboratory of Environmental Nanotechnology and Health Effects, State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box 2871, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xihui Liu
- Key Laboratory of Environmental Nanotechnology and Health Effects, State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box 2871, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yulin Xu
- Key Laboratory of Environmental Nanotechnology and Health Effects, State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box 2871, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jing Meng
- Key Laboratory of Environmental Nanotechnology and Health Effects, State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box 2871, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Bin Shi
- Key Laboratory of Environmental Nanotechnology and Health Effects, State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box 2871, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
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11
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Singh BP, Kumari S, Nair A, Kumari S, Wabaidur SM, Avtar R, Rahman S. Temporary reduction in VOCs associated with health risk during and after COVID-19 in Maharashtra, India. JOURNAL OF ATMOSPHERIC CHEMISTRY 2022; 80:53-76. [PMID: 35992767 PMCID: PMC9382016 DOI: 10.1007/s10874-022-09440-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 07/18/2022] [Indexed: 06/15/2023]
Abstract
UNLABELLED A novel coronavirus has affected almost all countries and impacted the economy, environment, and social life. The short-term impact on the environment and human health needs attention to correlate the Volatile organic compounds (VOCs) and health assessment for pre-, during, and post lockdowns. Therefore, the current study demonstrates VOC changes and their effect on air quality during the lockdown. The findings of result, the levels of the mean for total VOC concentrations were found to be 15.45 ± 21.07, 2.48 ± 1.61, 19.25 ± 28.91 µg/m3 for all monitoring stations for pre-, during, and post lockdown periods. The highest value of TVOCs was observed at Thane, considered an industrial region (petroleum refinery), and the lowest at Bandra, which was considered a residential region, respectively. The VOC levels drastically decreased by 52%, 89%, 80%, and 97% for benzene, toluene, ethylbenzene, and m-xylene, respectively, during the lockdown period compared to the previous year. In the present study, the T/B ratio was found lower in the lockdown period as compared to the pre-lockdown period. This can be attributed to the complete closure of non-traffic sources such as industries and factories during the lockdown. The Lifetime Cancer Risk values for all monitoring stations for benzene for pre-and-post lockdown periods were higher than the prescribed value, except during the lockdown period. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s10874-022-09440-5.
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Affiliation(s)
- Bhupendra Pratap Singh
- Delhi School of Climate Change and Sustainability (Institute of Eminence) & Department of Environmental Studies, Deshbadhu College, University of Delhi, New Delhi, India
| | - Saumya Kumari
- Delhi School of Climate Change and Sustainability (Institute of Eminence) & Department of Environmental Studies, Deshbadhu College, University of Delhi, New Delhi, India
| | - Arathi Nair
- Delhi School of Climate Change and Sustainability (Institute of Eminence) & Department of Environmental Studies, Deshbadhu College, University of Delhi, New Delhi, India
| | - Sweety Kumari
- Delhi School of Climate Change and Sustainability (Institute of Eminence) & Department of Environmental Studies, Deshbadhu College, University of Delhi, New Delhi, India
| | | | - Ram Avtar
- Faculty of Environmental Earth Science, Hokkaido University, Sapporo, 060-0810 Japan
| | - Shakilur Rahman
- Department of Medical Elementology and Toxicology, School of Chemical and Life Sciences, Jamia Hamdard, New Delhi, India
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12
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Lyu Y, Xu J, Cao Q, Zhou Z, Hu W, Liu X. Highly efficient removal of toluene over Cu-V oxides modified γ-Al 2O 3 in the presence of SO 2. JOURNAL OF HAZARDOUS MATERIALS 2022; 436:129041. [PMID: 35588656 DOI: 10.1016/j.jhazmat.2022.129041] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 04/24/2022] [Accepted: 04/27/2022] [Indexed: 06/15/2023]
Abstract
Developing efficient catalysts with good resistance to complex flue gas is essential for VOCs removal in coal-fired flue gas. In this study, by exploring the effect of transition metal oxide additive, metal loading and bimetallic synergy on toluene oxidation in coal-fired flue gas, 10Cu-3V/γ-Al2O3 is identified as the optimal catalyst. It achieves 90% of CO2 generation at 350 ℃, which is decreased by ca. 46 ℃ compared with 13Cu/γ-Al2O3. And it also exhibits good resistance to H2O and good stability. ICP-OES, N2 adsorption-desorption isotherms, XRD, TEM, XPS, EPR and H2-TPR analyses were applied to characterize the catalyst composition and physicochemical properties. Doping V into 13Cu/γ-Al2O3 not only leads to better dispersity of CuO and homogeneous elements distribution that benefits to produce more active centers, but also constitutes the redox cycle of V5+ + Cu+ ↔ V4+ + Cu2+ which induces more surface chemical oxygen (Osur). Moreover, since SO2 is the main inhibiting factor in toluene oxidation, the SO2 poisoning mechanism was illustrated by XPS, TG and in situ DRIFT analyses in depth.
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Affiliation(s)
- Yue Lyu
- School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Jingying Xu
- School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
| | - Qingquan Cao
- School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Zijian Zhou
- School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Wei Hu
- School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Xiaowei Liu
- School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, China
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13
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Li J, Deng S, Tohti A, Li G, Yi X, Lu Z, Liu J, Zhang S. Spatial characteristics of VOCs and their ozone and secondary organic aerosol formation potentials in autumn and winter in the Guanzhong Plain, China. ENVIRONMENTAL RESEARCH 2022; 211:113036. [PMID: 35283079 DOI: 10.1016/j.envres.2022.113036] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 01/20/2022] [Accepted: 02/24/2022] [Indexed: 06/14/2023]
Abstract
As critical precursors of tropospheric ozone (O3) and secondary organic aerosol (SOA), volatile organic compounds (VOCs) largely influence air quality in urban environments. In this study, measurements of 102 VOCs at all five major cities in the Guanzhong Plain (GZP) were conducted during Sep.09-Oct. 13, 2017 (autumn) and Nov. 14, 2017-Jan. 19, 2018 (winter) to investigate the characteristics of VOCs and their roles in O3 and SOA formation. The average concentrations of total VOCs (TVOCs) at Xi'an (XA), Weinan (WN), Xianyang (XY), Tongchuan (TC), and Baoji (BJ) sites were in the range of 55.2-110.2 ppbv in autumn and 42.4-74.3 ppbv in winter. TVOCs concentrations were reduced by 22.4%-43.5% from autumn to winter at XA, WN and BJ. Comparatively low concentrations of TVOCs were observed in XY and TC, ranging from 53.5 to 62.7 ppbv across the sampling period. Alkanes were the major components at all sites, accounting for 26.4%-48.9% of the TVOCs during the sampling campaign, followed by aromatics (4.2%-26.4%). The average concentration of acetylene increased by a factor of up to 4.8 from autumn to winter, indicating the fuel combustion in winter heating period significantly impacted on VOCs composition in the GZP. The OH radical loss rate and maximum incremental reactivity method were employed to determine photochemical reactivities and ozone formation potentials (OFPs) of VOCs, respectively. The VOCs in XA and WN exhibited the highest reactivities in O3 formation, with the OFP of 168-273 ppbv and the OH loss rates of 19.3-40.8 s-1. Alkenes and aromatics primarily related to on-road and industrial emissions contributed 57.8%-76.3% to the total OFP. The contribution of aromatics to the SOA formation at all sites reached 94.1%-98.6%. Considering the potential source-area of VOCs, regional transport of VOCs occurred within the GZP cities.
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Affiliation(s)
- Jianghao Li
- School of Water and Environment, Chang'an University, Xi'an, 710064, China; Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang'an University, Xi'an, 710064, China
| | - Shunxi Deng
- School of Water and Environment, Chang'an University, Xi'an, 710064, China; Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang'an University, Xi'an, 710064, China.
| | - Abla Tohti
- School of Water and Environment, Chang'an University, Xi'an, 710064, China
| | - Guanghua Li
- School of Water and Environment, Chang'an University, Xi'an, 710064, China
| | - Xiaoxiao Yi
- School of Water and Environment, Chang'an University, Xi'an, 710064, China
| | - Zhenzhen Lu
- School of Water and Environment, Chang'an University, Xi'an, 710064, China
| | - Jiayao Liu
- School of Water and Environment, Chang'an University, Xi'an, 710064, China
| | - Shuai Zhang
- School of Water and Environment, Chang'an University, Xi'an, 710064, China
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Xiao G, Guo Z, Lin B, Fu M, Ye D, Hu Y. Cu-VWT Catalysts for Synergistic Elimination of NO x and Volatile Organic Compounds from Coal-Fired Flue Gas. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:10095-10104. [PMID: 35766897 DOI: 10.1021/acs.est.2c02083] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
A dual-function catalyst, designated as Cu5-VWT, has been constructed for the synergistic removal of NOx and volatile organic compounds under complex coal-fired flue gas conditions. The removal of toluene, propylene, dichloromethane, and naphthalene all exceeded 99% (350 °C), and the catalyst could effectively block the generation of polycyclic aromatic hydrocarbons. Mechanistic studies have shown that Cu sites on the Cu5-VWT catalyst facilitate catalytic oxidation, while V sites facilitate NOx reduction. Thus, toluene oxidation and NOx reduction can proceed simultaneously. The removal of total hydrocarbons and nonmethane total hydrocarbons from 1200 m3·h-1 real coal-fired flue gas by a monolithic catalyst were determined as 92 and 96%, respectively, much higher than those of 54 and 72% over a commercial VWT catalyst, indicating great promise for industrial application.
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Affiliation(s)
- Gaofei Xiao
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, P. R. China
| | - Ziyang Guo
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, P. R. China
| | - Beilong Lin
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, P. R. China
| | - Mingli Fu
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, P. R. China
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, Guangzhou 510006, P. R. China
- The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, Guangzhou 510006, P. R. China
| | - Daiqi Ye
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, P. R. China
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, Guangzhou 510006, P. R. China
- The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, Guangzhou 510006, P. R. China
| | - Yun Hu
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, P. R. China
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, Guangzhou 510006, P. R. China
- The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, Guangzhou 510006, P. R. China
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15
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Xue Y, Wang L, Liu S, Huang Y, Chen L, Cui L, Cao J. Upward trend and formation of surface ozone in the Guanzhong Basin, Northwest China. JOURNAL OF HAZARDOUS MATERIALS 2022; 427:128175. [PMID: 34995999 DOI: 10.1016/j.jhazmat.2021.128175] [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: 09/17/2021] [Revised: 12/22/2021] [Accepted: 12/27/2021] [Indexed: 06/14/2023]
Abstract
Increase trend of surface ozone (O3) was observed in the Guanzhong Basin (GZB) from 2014 to 2020 with growth rates of 3.9-6.4 μg m-3 yr-1 for the maximum daily average 8 h (MDA8) O3 concentrations. To further understand the formation of O3, investigation of volatile organic compounds (VOCs) was carried out in the summer of 2018. High levels of VOCs were observed in both residential area and industrialized cities. Elevated concentrations of none-methane Hydrocarbon (NMHCs) were observed in rush hours, which indicated dominated roles of traffic activities on the loading of ambient VOCs. In the nighttime, both of NMHCs and oxygenated VOCs (OVOCs) were raised, and the peaks of VOCs kept pace with accumulation of O3. Wind field indicated that northward and westward air mass, which passed through the remote forest and industrial area in east of the GZB, was responsible to elevated ambient VOCs in the GZB. Traffic emission, fuel evaporation, and solvent using were key contributors to ambient NMHCs, while solvent using and secondary formation dominated the loading of OVOCs. The present study indicated that both local management and regional collaborative control on active VOCs species from typical sources is urgently needed in GZB.
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Affiliation(s)
- Yonggang Xue
- State Key Lab of Loess and Quaternary Geology (SKLLQG), Institute of Earth Environment, Chinese Academy of Sciences (CAS), Xi'an 710061, China; CAS Center for Excellence in Quaternary Science and Global Change, Xi'an 710061, China; Guanzhong Plain Ecological Environment Change and Comprehensive Treatment National Observation and Research Station, Xi'an 710061, China
| | - Liqin Wang
- State Key Lab of Loess and Quaternary Geology (SKLLQG), Institute of Earth Environment, Chinese Academy of Sciences (CAS), Xi'an 710061, China; CAS Center for Excellence in Quaternary Science and Global Change, Xi'an 710061, China; Guanzhong Plain Ecological Environment Change and Comprehensive Treatment National Observation and Research Station, Xi'an 710061, China
| | - Suixin Liu
- State Key Lab of Loess and Quaternary Geology (SKLLQG), Institute of Earth Environment, Chinese Academy of Sciences (CAS), Xi'an 710061, China; CAS Center for Excellence in Quaternary Science and Global Change, Xi'an 710061, China; Guanzhong Plain Ecological Environment Change and Comprehensive Treatment National Observation and Research Station, Xi'an 710061, China
| | - Yu Huang
- State Key Lab of Loess and Quaternary Geology (SKLLQG), Institute of Earth Environment, Chinese Academy of Sciences (CAS), Xi'an 710061, China; CAS Center for Excellence in Quaternary Science and Global Change, Xi'an 710061, China; Guanzhong Plain Ecological Environment Change and Comprehensive Treatment National Observation and Research Station, Xi'an 710061, China.
| | - Long Chen
- State Key Lab of Loess and Quaternary Geology (SKLLQG), Institute of Earth Environment, Chinese Academy of Sciences (CAS), Xi'an 710061, China; CAS Center for Excellence in Quaternary Science and Global Change, Xi'an 710061, China; Guanzhong Plain Ecological Environment Change and Comprehensive Treatment National Observation and Research Station, Xi'an 710061, China
| | - Long Cui
- State Key Lab of Loess and Quaternary Geology (SKLLQG), Institute of Earth Environment, Chinese Academy of Sciences (CAS), Xi'an 710061, China; CAS Center for Excellence in Quaternary Science and Global Change, Xi'an 710061, China; Guanzhong Plain Ecological Environment Change and Comprehensive Treatment National Observation and Research Station, Xi'an 710061, China
| | - Junji Cao
- State Key Lab of Loess and Quaternary Geology (SKLLQG), Institute of Earth Environment, Chinese Academy of Sciences (CAS), Xi'an 710061, China; CAS Center for Excellence in Quaternary Science and Global Change, Xi'an 710061, China; Guanzhong Plain Ecological Environment Change and Comprehensive Treatment National Observation and Research Station, Xi'an 710061, China
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16
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Huang MC, Willson CJ, Jaligama S, Baker GL, Singer AW, Cao Y, Pierfelice J, Mutlu E, Burback B, Xie G, Malarkey DE, Sparrow B, Ryan K, Stout M, Roberts GK. Whole-body inhalation exposure to 2-ethyltoluene for two weeks produced nasal lesions in rats and mice. Inhal Toxicol 2021; 33:334-346. [PMID: 34890527 DOI: 10.1080/08958378.2021.2002480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
OBJECTIVE Ethyltoluenes are isolated during crude oil refinement for use in gasoline and commercial products and are ubiquitous in the environment. However, minimal toxicity data are available. Previously, we identified 2-ethyltoluene (2-ET) as the most potent isomer via nose-only inhalation exposure in rodents. Here, we expanded the hazard characterization of 2-ET in two rodent models using whole-body inhalation exposure and evaluated the role of prenatal exposure. METHODS Time-mated Hsd:Sprague Dawley® SD® rats were exposed to 0, 150, 300, 600, 900, or 1200 ppm 2-ET via inhalation starting on gestation day 6 until parturition. Rat offspring (n = 8/exposure/sex) were exposed to the same concentrations as the respective dams for 2 weeks after weaning. Adult male and female B6C3F1/N mice (n = 5/exposure/sex) were exposed to the same concentrations for 2 weeks. RESULTS AND DISCUSSION Exposure to ≥600 ppm 2-ET produced acute toxicity in rats and mice characterized by large decreases in survival, body weight, adverse clinical observations, and diffuse nasal olfactory epithelium degeneration (rats) or necrosis (mice). Due to the early removal of groups ≥600 ppm, most endpoint evaluations focused on lower exposure groups. In 150 and 300 ppm exposure groups, reproductive performance and littering were not significantly changed and body weights in exposed rats and mice were 9-18% lower than controls. Atrophy of the olfactory epithelium and nerves was observed in all animals exposed to 150 and 300 ppm. These lesions were more severe in mice than in rats. CONCLUSION Nasal lesions were observed in all animals after whole-body exposure up to 600 ppm 2-ET for 2 weeks. Future studies should focus on 2-ET metabolism and distribution to better understand species differences and refine hazard characterization of this understudied environmental contaminant.
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Affiliation(s)
- Madelyn C Huang
- Division of the National Toxicology Program, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | | | | | | | | | - Yu Cao
- Battelle, Columbus, OH, USA
| | | | - Esra Mutlu
- Division of the National Toxicology Program, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | | | - Guanhua Xie
- Social and Scientific Services, Durham, NC, USA
| | - David E Malarkey
- Division of the National Toxicology Program, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | | | - Kristen Ryan
- Division of the National Toxicology Program, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Matthew Stout
- Division of the National Toxicology Program, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Georgia K Roberts
- Division of the National Toxicology Program, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
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Wu Y, Xu Z, Liu S, Tang M, Lu S. Emission characteristics of PM 2.5 and components of condensable particulate matter from coal-fired industrial plants. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 796:148782. [PMID: 34274667 DOI: 10.1016/j.scitotenv.2021.148782] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 05/23/2021] [Accepted: 06/27/2021] [Indexed: 06/13/2023]
Abstract
Particulate matter (PM), including condensable particulate matter (CPM) and filterable particulate matter (FPM), emitted from coal combustion is one of the major contributors to air pollution. In this study, CPM and FPM were sampled from two coal-fired industrial boilers with air pollution control devices (APCDs). The emission concentration of total PM (CPM and FPM) and inorganic components of CPM were studied. The organic fractions in CPM and raw coal were analyzed using a gas chromatograph/mass spectrometer (GC/MS). The concentrations of total PM in the flue gas decreased from 1475.61 to 7.68 mg/Nm3 in unit 1, and from 2451.62 to 29.38 mg/Nm3 in unit 2 after the flue gas passed through the APCDs. CPM accounted for 51.42-91.93% of total PM emitted from stacks, of which organic components (73.87-96.30%) were one of the main constituents. Although aromatic hydrocarbons are one of the major components of raw coal, they were almost nonexistent in the CPM emitted from coal combustion. Saturated hydrocarbons accounted for the largest proportion of organic components in CPM, 49.19% in unit 1 and 61.16% in unit 2. The proportion of esters in the oxygen-containing derivatives of CPM emitted from two units was relatively high. SO42- was the inorganic component with the largest concentration in CPM emitted from the boiler units. This study will improve the understanding of the emissions levels of PM2.5 and the properties of CPM that originate from the coal-fired industrial processes.
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Affiliation(s)
- Yujia Wu
- State Key Laboratory of Clean Energy Utilization, Institute for Thermal Power Engineering, Zhejiang University, Hangzhou 310027, China
| | - Zhenyao Xu
- State Key Laboratory of Clean Energy Utilization, Institute for Thermal Power Engineering, Zhejiang University, Hangzhou 310027, China
| | - Siqi Liu
- State Key Laboratory of Clean Energy Utilization, Institute for Thermal Power Engineering, Zhejiang University, Hangzhou 310027, China
| | - Minghui Tang
- State Key Laboratory of Clean Energy Utilization, Institute for Thermal Power Engineering, Zhejiang University, Hangzhou 310027, China
| | - Shengyong Lu
- State Key Laboratory of Clean Energy Utilization, Institute for Thermal Power Engineering, Zhejiang University, Hangzhou 310027, China.
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Zhou Z, Tan Q, Deng Y, Lu C, Song D, Zhou X, Zhang X, Jiang X. Source profiles and reactivity of volatile organic compounds from anthropogenic sources of a megacity in southwest China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 790:148149. [PMID: 34380266 DOI: 10.1016/j.scitotenv.2021.148149] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 05/24/2021] [Accepted: 05/25/2021] [Indexed: 06/13/2023]
Abstract
Volatile organic compounds (VOCs) from anthropogenic sources are deleterious to air quality, climate, human health and vegetation. However, research on VOCs source profiles of the non-solvent use in some industries and the emission characteristics of motor vehicles under actual road conditions is limited in China. In this research, VOCs source profiles of industries (wood-based panel manufacturing and pharmacy) based on all product processes were constructed, and those of light and medium duty vehicles exhaust based on actual road conditions at different speeds were acquired in Chengdu, a megacity in southwest China. The results show that VOCs groups of various sources were dominated by oxygenated VOCs (OVOCs), which accounted for 27-84% of the total VOCs emission. Due to the great contribution of OVOCs to industrial source reactivity (SR), attention should be paid to the control over the emissions of the species with high reactivity, such as aromatics and alkenes, but also to the production processes with relatively large proportions of OVOCs species emission. VOCs emissions from gasoline and diesel vehicles running at a speed ranging from 0 to 40 km/h have approximately the same ozone formation potential (OFP), while the contribution of VOCs emission from diesel vehicles to the formation of urban ozone pollution deserves further attention. It is found that VOCs emission characteristics of some industries in China have changed as the upgrading of production processes in automobile manufacturing and other industries, such as the extensive use of water-based coatings instead of outdated solvent-based coatings, which increased the uncertainty of judgment parameters (B/T ratio, etc.) in source apportionment research. The ranges of B/T ratio of industrial process sources, solvent use sources and motor vehicles are 0.00-0.23, 0.01-0.75 and 0.35-0.92, respectively. Therefore, updating existing source profiles and further understanding the emission constitutions of characteristic species in these source profiles (such as BTEX ratio) will be conducive to further research on emission inventory, source apportionment for O3 pollution control effectively.
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Affiliation(s)
- Zihang Zhou
- College of Architecture and Environment, Sichuan University, Chengdu 610065, China; Chengdu Academy of Environmental Sciences, Chengdu 610072, China
| | - Qinwen Tan
- Chengdu Academy of Environmental Sciences, Chengdu 610072, China
| | - Ye Deng
- Chengdu Academy of Environmental Sciences, Chengdu 610072, China
| | - Chengwei Lu
- Chengdu Academy of Environmental Sciences, Chengdu 610072, China
| | - Danlin Song
- Chengdu Academy of Environmental Sciences, Chengdu 610072, China
| | - Xiaoling Zhou
- Chengdu Academy of Environmental Sciences, Chengdu 610072, China
| | - Xin Zhang
- Chengdu Academy of Environmental Sciences, Chengdu 610072, China
| | - Xia Jiang
- College of Architecture and Environment, Sichuan University, Chengdu 610065, China; National Engineering Research Center for Flue Gas Desulfurization, Sichuan University, Chengdu 610065, China.
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19
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Sun S, Liu W, Guan W, Zhu S, Jia J, Wu X, Lei R, Jia T, He Y. Effects of air pollution control devices on volatile organic compounds reduction in coal-fired power plants. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 782:146828. [PMID: 33839653 DOI: 10.1016/j.scitotenv.2021.146828] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 03/14/2021] [Accepted: 03/25/2021] [Indexed: 06/12/2023]
Abstract
Air pollution control devices (APCDs) have been fitted to many coal-fired power plants to decrease the impacts of pollutants generated during coal combustion. APCDs remove conventional pollutants but also decrease volatile organic compound (VOC) emissions. In this study, flue gas samples were collected from different points in seven typical coal-fired power and two industrial boilers, and the VOC concentrations in the flue gas samples were determined by gas chromatography-mass spectrometry (GC-MS). Selective catalytic reduction (SCR) systems and electrostatic precipitators (ESP) can synergistically remove VOCs, the mean removal rate of VOCs by ESP was 42% ± 9%. This was caused by the catalyst in SCR systems and the condensation process in the ESP. Wet flue gas desulfurization (WFGD) affected different VOCs in different ways, increasing the halogenated hydrocarbons and aromatic hydrocarbons concentrations but decreasing the oxygenated VOCs concentrations by 12%. Wet electrostatic precipitators (WESP) increased VOC emissions. By calculating Ozone formation potential (OFP), aromatic hydrocarbons are important contributors to ozone production. The emission factor of the power plant was 0.69 g/GJ, and the Chinese annual emission was about 1.2 × 104 t. VOCs emissions in different regions were affected by factors such as the economy and population. VOC emissions can be decreased by using the most appropriate unit load and improving the VOC removal efficiencies of the APCDs.
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Affiliation(s)
- Shurui Sun
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Water Resources and Environment, Chang'an University, Xi'an 710054, China
| | - Wenbin Liu
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Weisheng Guan
- College of Water Resources and Environment, Chang'an University, Xi'an 710054, China
| | - Shuai Zhu
- National Research Center for Geoanalysis, Beijing 100037, China
| | - Jing Jia
- National Research Center for Geoanalysis, Beijing 100037, China
| | - Xiaolin Wu
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Rongrong Lei
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tianqi Jia
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Yunchen He
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
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21
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Mahmoud M, Ramadan M, Naher S, Pullen K, Olabi AG. The impacts of different heating systems on the environment: A review. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 766:142625. [PMID: 33077224 DOI: 10.1016/j.scitotenv.2020.142625] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 09/12/2020] [Accepted: 09/21/2020] [Indexed: 06/11/2023]
Abstract
This paper presents a review of the environmental impacts of most heating systems drawing together published literature on the subject, not previously available. Here, a comparison between the different systems such as coal, wood, oil, natural gas, heat pump, geothermal and solar energy is provided in terms of their environmental impact. The most important parameters considered are the emission rate and toxicity. This places the coal-fired system as the worst among all heating systems regarding the impacts on the environment. On the other hand, renewable energy sources are the most preferred sources decreasing total emissions and air pollution. In order to make a comparison between the different systems, the emissions that must be taken into consideration are CO, CO2, NOx, SO2, PMs, N2O, CH4, volatile organic compounds, polycyclic aromatic hydrocarbons and aldehydes.
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Affiliation(s)
- Montaser Mahmoud
- Department of Mechanical Engineering and Aeronautics, School of Mathematics, Computer Science and Engineering, City, University of London, UK; Lebanese International University, PO Box 146404, Beirut, Lebanon
| | - Mohamad Ramadan
- International University of Beirut, PO Box 146404, Beirut, Lebanon; FCLAB, CNRS, Univ. Bourgogne Franche-Comte, Belfort cedex, France.
| | - Sumsun Naher
- Department of Mechanical Engineering and Aeronautics, School of Mathematics, Computer Science and Engineering, City, University of London, UK
| | - Keith Pullen
- Department of Mechanical Engineering and Aeronautics, School of Mathematics, Computer Science and Engineering, City, University of London, UK
| | - Abdul-Ghani Olabi
- Sustainable and Renewable Energy Engineering, University of Sharjah, Sharjah, United Arab Emirates; Mechanical Engineering and Design, Aston University, School of Engineering and Applied Science, Aston Triangle, Birmingham, B4 7ET, UK
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22
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Wang H, Hao R, Fang L, Nie L, Zhang Z, Hao Z. Study on emissions of volatile organic compounds from a typical coking chemical plant in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 752:141927. [PMID: 32892051 DOI: 10.1016/j.scitotenv.2020.141927] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 08/17/2020] [Accepted: 08/22/2020] [Indexed: 06/11/2023]
Abstract
Coking chemical industry associated with high energy consumption and high pollution emits significant amount of volatile organic compounds (VOCs) to atmosphere, but is often ignored. This article reports a new study on emissions of VOCs from a typical coking chemical plant. Results show that about 70 species of VOCs including alkanes, alkenes, alkynes, aromatic hydrocarbons, halogenated hydrocarbons and oxygenates are detected, naphthalene and benzene could be used as the emission markers. Compared to coking stage, gas purifying stage is found to have 4 times more total concentrations of VOCs, in which condensing and blasting process is found to be the largest contributor with 77% ozone formation potential (OFP) contribution. Emission control measures currently used are insufficient and inefficient to reduce VOCs to meet regulatory emission standards. Further, by using a proposed integrated emission factor of 2.652 g/kg coke, the coking chemical industry in China was estimated to account for about 7.8-20% of total historical industrial VOCs emissions, and about 1241 Gg of VOCs were emitted in 2019. A large proportion is emitted from the northern China with a distinctive spatial distribution. Shanxi, Hebei, Shandong, and Shannxi provinces are the top four emitters. It is suggested that more stringent and efficient measures should be taken on the coking chemical industry, not just on the coking processes, but also on the gas purifying processes.
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Affiliation(s)
- Hailin Wang
- Beijing Key Laboratory for VOCs Pollution Prevention and Treatment Technology and Application of Urban Air, Beijing Municipal Research Institute of Environment Protection, Beijing 100037, China
| | - Run Hao
- Beijing Key Laboratory for VOCs Pollution Prevention and Treatment Technology and Application of Urban Air, Beijing Municipal Research Institute of Environment Protection, Beijing 100037, China
| | - Li Fang
- Beijing Key Laboratory for VOCs Pollution Prevention and Treatment Technology and Application of Urban Air, Beijing Municipal Research Institute of Environment Protection, Beijing 100037, China
| | - Lei Nie
- Beijing Key Laboratory for VOCs Pollution Prevention and Treatment Technology and Application of Urban Air, Beijing Municipal Research Institute of Environment Protection, Beijing 100037, China
| | - Zhongshen Zhang
- National Engineering Laboratory for VOCs Pollution Control Material & Technology, Research Center for Environmental Material and Pollution Control Technology, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Zhengping Hao
- National Engineering Laboratory for VOCs Pollution Control Material & Technology, Research Center for Environmental Material and Pollution Control Technology, University of Chinese Academy of Sciences, Beijing 101408, China.
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23
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Niu Z, Kong S, Zheng H, Yan Q, Liu J, Feng Y, Wu J, Zheng S, Zeng X, Yao L, Zhang Y, Fan Z, Cheng Y, Liu X, Wu F, Qin S, Yan Y, Ding F, Liu W, Zhu K, Liu D, Qi S. Temperature dependence of source profiles for volatile organic compounds from typical volatile emission sources. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 751:141741. [PMID: 32889467 DOI: 10.1016/j.scitotenv.2020.141741] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2020] [Revised: 08/14/2020] [Accepted: 08/15/2020] [Indexed: 06/11/2023]
Abstract
Source profiles of volatile organic compounds (VOCs) emitted from the evaporation of various fuels, industrial raw materials, processes and products are still limited in China. The impact of ambient temperature on the VOC released from these fugitive emission sources has also been rarely reported. In order to establish VOC source profiles for thirteen volatile emission sources, a sampling campaign was conducted in Central China, and five types of sources were investigated both in winter and summer. The dominant VOC groups varied in different sources, and they were alkanes (78.6%), alkenes (53.1%), aromatics (55.1%), halohydrocarbons (80.7%) and oxygenated VOCs (OVOCs) (76.0%), respectively. Ambient temperature showed different impacts on VOC source profiles and specific species ratios. The mass percentages of halohydrocarbons emitted from color printing and waste transfer station in summer were 42 times and 20 times higher than those in winter, respectively. The mass percentages of OVOCs emitted from car painting, waste transfer station and laundry emission sources were much higher in summer (7.9-27.8%) than those in winter (0.8-2.6%). On the contrary, alkanes from color printing, car painting and waste transfer stations were about 11, 4 and 5 times higher in winter than those in summer, respectively. The coefficient of divergence values for the source profiles obtained in winter and summer ranged in 0.3-0.7, indicating obvious differences of source profiles. Benzene/toluene ratio varied in 0.00-0.76, and it was in the range of 0.02-0.50 in winter and 0.04-0.52 in summer for the same sources, respectively. Hexanal, isobutene, m,p-xylene, toluene, 2-methylacrolein, styrene, 1-hexane and cis-2-butene dominated the ozone formation potentials (OFP). The OFP summer/winter differences were 5-320 times by MIR method and 1-79 times by Propy-Equiv method, respectively. This study firstly gave direct evidence that ambient temperature modified the mass percentages of VOC species obviously. It is important for improving VOC source apportionment and chemical reactivity simulation.
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Affiliation(s)
- Zhenzhen Niu
- Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Shaofei Kong
- Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China; Department of Environmental Science and Engineering, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China.
| | - Huang Zheng
- Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China; Department of Environmental Science and Engineering, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Qin Yan
- Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China; Department of Environmental Science and Engineering, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Jinhong Liu
- Department of Environmental Science and Engineering, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Yunkai Feng
- Department of Environmental Science and Engineering, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Jian Wu
- Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China; Department of Environmental Science and Engineering, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Shurui Zheng
- Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China; Department of Environmental Science and Engineering, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Xin Zeng
- Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China; Department of Environmental Science and Engineering, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Liquan Yao
- Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China; Department of Environmental Science and Engineering, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Ying Zhang
- Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Zewei Fan
- Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Yi Cheng
- Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Xi Liu
- Department of Environmental Science and Engineering, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Fangqi Wu
- Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Si Qin
- Department of Environmental Science and Engineering, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Yingying Yan
- Department of Atmospheric Sciences, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Feng Ding
- Hubei Academy of Environmental Sciences, Wuhan, 430074, China
| | - Wei Liu
- Hubei Academy of Environmental Sciences, Wuhan, 430074, China
| | - Kuanguang Zhu
- Hubei Academy of Environmental Sciences, Wuhan, 430074, China
| | - Dantong Liu
- Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou 310058, China
| | - Shihua Qi
- Department of Environmental Science and Engineering, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
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24
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Zhang X, Wang D, Liu Y, Cui Y, Xue Z, Gao Z, Du J. Characteristics and ozone formation potential of volatile organic compounds in emissions from a typical Chinese coking plant. J Environ Sci (China) 2020; 95:183-189. [PMID: 32653178 DOI: 10.1016/j.jes.2020.03.018] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 03/07/2020] [Accepted: 03/17/2020] [Indexed: 06/11/2023]
Abstract
Coking industry is an important volatile organic compounds (VOCs) emission source in China, however, detailed information on VOCs emissions is lacking. Therefore, we selected a typical mechanized coking plant and collected air samples according to the Emission Standard of Pollutants for Coking Chemical Industry (GB16171-2012). Using gas chromatography-mass spectrometry method, we analyzed the VOCs in the air samples, and applied maximum increment reactivity (MIR) rule to estimate ozone formation potential (OFP) of the VOCs emitted from the coke production. More than 90 VOCs species were detected from the coking plant, including alkanes, alkenes, alkynes, aromatic hydrocarbons, halogenated hydrocarbons and oxygenated VOCs. The concentrations of VOCs (ρ(VOCs)) generated at different stages of the coking process are significantly different. ρ(VOCs) from coke oven chimney had the highest concentration (87.1 mg/m3), followed by coke pushing (4.0 mg/m3), coal charging (3.3 mg/m3) and coke oven tops (1.1 mg/m3). VOCs species emitted from the coke production processes were dominated by alkanes and alkenes, but the composition proportions were different at the different stages. Alkenes were the most abundant emission species in flue gases of the coke oven chimney accounting for up to 66% of the total VOCs, while the VOCs emissions from coke pushing and coal charging were dominated by alkanes (36% and 42%, respectively), and the alkanes and alkenes emitted from coke oven top were similar (31% and 29%, respectively). Based on above results, reduction of VOCs emissions from coke oven chimney flue gases is suggested to be an effective measure, especially for alkenes.
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Affiliation(s)
- Xinmin Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
| | - Di Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yan Liu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yufan Cui
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Zhigang Xue
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Zhifeng Gao
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jinhong Du
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
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25
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Huang H, Hu H, Zhang J, Liu X. Characteristics of volatile organic compounds from vehicle emissions through on-road test in Wuhan, China. ENVIRONMENTAL RESEARCH 2020; 188:109802. [PMID: 32592940 DOI: 10.1016/j.envres.2020.109802] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 06/04/2020] [Accepted: 06/06/2020] [Indexed: 05/26/2023]
Abstract
VOCs emissions from motor vehicles have become a main source of air pollution in many cities. However, the characteristics of VOCs emissions have not been fully elucidated. Ten representative vehicles were selected in Wuhan, China, and the VOCs emitted by these vehicles under actual working conditions were collected and analyzed through on-road tests. Results showed that the average concentrations of total VOCs emitted by gasoline and diesel vehicles were 5.9 ± 2.4 mg/m3 and 6.8 ± 3.0 mg/m3, while the average emission factors were 5.3 ± 2.2 mg/km and 33.9 ± 22.7 mg/km, respectively. The five compounds emitted at the highest levels by gasoline and diesel vehicles were hexanal, acetone, toluene, p-xylene and iso-pentane. Emission concentration of diesel vehicles was slightly higher than that of gasoline vehicles. Emission factor of diesel vehicles was much higher, because they consumed more fuel and produced more power than gasoline vehicles. The average concentrations of total VOCs emitted by China III, IV and V vehicles were 8.4 ± 1.4 mg/m3, 5.8 ± 3.4 mg/m3 and 5.3 ± 1.9 mg/m3, and their average emission factors were 21.7 ± 18.6 mg/km, 19.4 ± 28.9 mg/km and 9.1 ± 7.2 mg/km, respectively. Vehicle emissions decreased obviously as the emission standards increased. The average concentrations of total VOCs emitted under low-speed and high-speed conditions were 9.4 ± 3.5 mg/m3 and 5.5 ± 1.8 mg/m3. Concentrations of acetone, hexanal, toluene and p-xylene were the highest four VOCs under both conditions. The average emission factor of VOCs under high-speed conditions (24.0 ± 13.6 mg/km) was substantially lower than under low-speed conditions (54.0 ± 41.5 mg/km). Thus, tightening emission standards and reducing traffic congestion would help reduce VOCs emissions.
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Affiliation(s)
- Hao Huang
- School of Environmental Science and Engineering, Huazhong University of Science & Technology, Wuhan, 430074, PR China
| | - Hui Hu
- School of Environmental Science and Engineering, Huazhong University of Science & Technology, Wuhan, 430074, PR China.
| | - Jinjie Zhang
- School of Environmental Science and Engineering, Huazhong University of Science & Technology, Wuhan, 430074, PR China; Hanyang Special Purpose Vehicle Institute, Wuhan, 430056, PR China
| | - Xiaoyong Liu
- School of Environmental Science and Engineering, Huazhong University of Science & Technology, Wuhan, 430074, PR China; Hubei Academy of Environmental Science, Wuhan, 430072, PR China
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26
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Wang W, Xiong T, Zhang W, Luo B, Wang D, Jiang X, Rao Z, Jiang Y, Liu Y, Cheng H, Luo X, Fan M, Gong Z. Observation and analysis of VOCs in nine prefecture-level cities of Sichuan Province, China. ENVIRONMENTAL MONITORING AND ASSESSMENT 2020; 192:511. [PMID: 32661736 DOI: 10.1007/s10661-020-08360-9] [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: 11/15/2019] [Accepted: 05/13/2020] [Indexed: 06/11/2023]
Abstract
The observation and analysis of volatile organic compounds (VOCs) were conducted during January 2018 in nine prefecture-level cities of Sichuan, China, covering the period of heavily polluted weather. Air samples collected in nine prefecture-level cities were analyzed using a preconcentration method coupled with GC-MS/FID. The characteristics and ozone generation potential (OFP) of VOCs were analyzed. The relationship between air quality index (AQI) and VOCs and gross domestic product (GDP) and VOCs were also discussed, respectively. The results show that the characteristics of VOCs in cities are highly related to their industrial structure and GDP. Generally, areas with high AQI values are accompanied by high VOC concentrations. Alkanes and halocarbons were the most abundant VOCs in the atmospheric environment in the nine prefecture-level cities, accounting for 24.5~61.6% and 15.6~23.6% of total VOC concentration, respectively. The MIR method was used to analyze the OFP, and olefins contributed the most to ozone formation. Among the nine cities located in Sichuan, Dazhou was found to be the city with the highest OFP value (1191.49 μg/m3).
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Affiliation(s)
- Wenjun Wang
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China
- Key Laboratory of Integrated Environmental Air Quality Monitoring in Environmental Protection Region of Sichuan Province, Chengdu, 610091, China
| | - Tingting Xiong
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China
- Key Laboratory of Integrated Environmental Air Quality Monitoring in Environmental Protection Region of Sichuan Province, Chengdu, 610091, China
| | - Wei Zhang
- Key Laboratory of Integrated Environmental Air Quality Monitoring in Environmental Protection Region of Sichuan Province, Chengdu, 610091, China
- Sichuan Ecological Environment Monitoring Station, Chengdu, 610091, China
| | - Bin Luo
- Key Laboratory of Integrated Environmental Air Quality Monitoring in Environmental Protection Region of Sichuan Province, Chengdu, 610091, China.
- Sichuan Academy of Environmental Policy Research and Planning, Chengdu, 610041, China.
| | - Dongmei Wang
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China
- Key Laboratory of Integrated Environmental Air Quality Monitoring in Environmental Protection Region of Sichuan Province, Chengdu, 610091, China
| | - Xincheng Jiang
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China
- Key Laboratory of Integrated Environmental Air Quality Monitoring in Environmental Protection Region of Sichuan Province, Chengdu, 610091, China
| | - Zhihan Rao
- Key Laboratory of Integrated Environmental Air Quality Monitoring in Environmental Protection Region of Sichuan Province, Chengdu, 610091, China
- Sichuan Ecological Environment Monitoring Station, Chengdu, 610091, China
| | - Yan Jiang
- Key Laboratory of Integrated Environmental Air Quality Monitoring in Environmental Protection Region of Sichuan Province, Chengdu, 610091, China
- Sichuan Ecological Environment Monitoring Station, Chengdu, 610091, China
| | - Yue Liu
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China
- Key Laboratory of Integrated Environmental Air Quality Monitoring in Environmental Protection Region of Sichuan Province, Chengdu, 610091, China
| | - Huan Cheng
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China
- Key Laboratory of Integrated Environmental Air Quality Monitoring in Environmental Protection Region of Sichuan Province, Chengdu, 610091, China
| | - Xiaojing Luo
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China
- Key Laboratory of Integrated Environmental Air Quality Monitoring in Environmental Protection Region of Sichuan Province, Chengdu, 610091, China
| | - Meikun Fan
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China
- Key Laboratory of Integrated Environmental Air Quality Monitoring in Environmental Protection Region of Sichuan Province, Chengdu, 610091, China
- State-Province Joint Engineering Laboratory of Spatial Information Technology of High-Speed Rail Safety, Chengdu, 611756, China
| | - Zhengjun Gong
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China.
- Key Laboratory of Integrated Environmental Air Quality Monitoring in Environmental Protection Region of Sichuan Province, Chengdu, 610091, China.
- State-Province Joint Engineering Laboratory of Spatial Information Technology of High-Speed Rail Safety, Chengdu, 611756, China.
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Yang HH, Gupta SK, Dhital NB, Wang LC, Elumalai SP. Comparative investigation of coal- and oil-fired boilers based on emission factors, ozone and secondary organic aerosol formation potentials of VOCs. J Environ Sci (China) 2020; 92:245-255. [PMID: 32430127 DOI: 10.1016/j.jes.2020.02.024] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 02/04/2020] [Accepted: 02/21/2020] [Indexed: 06/11/2023]
Abstract
Volatile organic compounds (VOCs) are the important precursors of the tropospheric ozone (O3) and secondary organic aerosols (SOA), both of which are known to harm human health and disrupt the earth's climate system. In this study, VOC emission factors, O3 and SOA formation potentials were estimated for two types of industrial boilers: coal-fired boilers (n = 3) and oil-fired boilers (n = 3). Results showed that ∑VOCs concentrations were more than nine times higher for oil-fired boilers compared to those for coal-fired boilers. Emission factors of ∑VOCs were found to be higher for oil-fired boilers (9.26-32.83 mg-VOC/kg) than for coal-fired boilers (1.57-4.13 mg-VOC/kg). Alkanes and aromatics were obtained as the most abundant groups in coal-fired boilers, while oxygenated organics and aromatics were the most contributing groups in oil-fired boilers. Benzene, n-hexane and o-ethyl toluene were the abundant VOC species in coal-fired boiler emissions, whereas toluene was the most abundant VOC species emitted from oil-fired boilers. O3 and SOA formation potentials were found 12 and 18 times, respectively, higher for oil-fired than for coal-fired boilers. Total OFP ranged from 3.99 to 11.39 mg-O3/kg for coal-fired boilers. For oil-fired boilers, total OFP ranged from 36.16 to 131.93 mg-O3/kg. Moreover, total secondary organic aerosol potential (SOAP) ranged from 65.4 to 122.5 mg-SOA/kg and 779.9 to 2252.5 mg-SOA/kg for the coal-fired and oil-fired boilers, respectively.
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Affiliation(s)
- Hsi-Hsien Yang
- Department of Environmental Engineering and Management, Chaoyang University of Technology, Taichung, Chinese Taipei
| | - Sunil Kumar Gupta
- Department of Environmental Engineering and Management, Chaoyang University of Technology, Taichung, Chinese Taipei.
| | - Narayan Babu Dhital
- Department of Environmental Engineering and Management, Chaoyang University of Technology, Taichung, Chinese Taipei; Department of Applied Chemistry, Chaoyang University of Technology, Taichung, Chinese Taipei; Department of Environmental Science, Patan Multiple Campus, Tribhuvan University, Lalitpur, Nepal
| | - Lin-Chi Wang
- Department of Environmental Engineering, Chung Yuan Christian University, Taoyuan, Chinese Taipei
| | - Suresh Pandian Elumalai
- Department of Environmental Science and Engineering, Indian Institute of Technology (Indian School of Mines) Dhanbad, India
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Frigerio G, Campo L, Mercadante R, Mielżyńska-Švach D, Pavanello S, Fustinoni S. Urinary Mercapturic Acids to Assess Exposure to Benzene and Other Volatile Organic Compounds in Coke Oven Workers. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E1801. [PMID: 32164281 PMCID: PMC7084241 DOI: 10.3390/ijerph17051801] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 03/04/2020] [Accepted: 03/06/2020] [Indexed: 01/11/2023]
Abstract
Coke production was classified as carcinogenic to humans by the International Agency for Research on Cancer. Besides polycyclic aromatic hydrocarbons, coke oven workers may be exposed to benzene and other volatile organic compounds (VOCs). The aim of this study was to assess the exposure to several VOCs in 49 coke oven workers and 49 individuals living in the same area by determining urinary mercapturic acids. Active tobacco smoking was an exclusion criterion for both groups. Mercapturic acids were investigated by a validated isotopic dilution LC-MS/MS method. Linear models were built to correct for different confounding variables. Urinary levels of N-acetyl-S-phenyl-L-cysteine (SPMA) (metabolite of benzene), N-acetyl-S-(2-hydroxy-1/2-phenylethyl)-L-cysteine (PHEMA) (metabolite of styrene), N-acetyl-S-(2-cyanoethyl)-L-cysteine (CEMA) (metabolite of acrylonitrile), N-acetyl-S-[1-(hydroxymethyl)-2-propen-1-yl)-L-cysteine and N-acetyl-S-(2-hydroxy-3-buten-1-yl)-L-cysteine (MHBMA) (metabolites of 1,3-butadiene) were 2-10 fold higher in workers than in controls (p < 0.05). For SPMA, in particular, median levels were 0.02 and 0.31 µg/g creatinine in workers and controls, respectively. Among workers, coke makers were more exposed to PHEMA and SPMA than foremen and engine operators. The comparison with biological limit values shows that the exposure of workers was within 20% of the limit values for all biomarkers, moreover three subjects exceeded the restrictive occupational limit value recently proposed by the European Chemicals Agency (ECHA) for SPMA.
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Affiliation(s)
- Gianfranco Frigerio
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, 20122 Milan, Italy
| | - Laura Campo
- Environmental and Industrial Toxicology Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Rosa Mercadante
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, 20122 Milan, Italy
| | - Danuta Mielżyńska-Švach
- Department of Medical Biology and Genetics, Faculty of Medicine, WST University of Technology, 40-555 Katowice, Poland
| | - Sofia Pavanello
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35128 Padua, Italy
| | - Silvia Fustinoni
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, 20122 Milan, Italy
- Environmental and Industrial Toxicology Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
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29
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In Plasma Catalytic Oxidation of Toluene Using Monolith CuO Foam as a Catalyst in a Wedged High Voltage Electrode Dielectric Barrier Discharge Reactor: Influence of Reaction Parameters and Byproduct Control. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16050711. [PMID: 30818848 PMCID: PMC6427108 DOI: 10.3390/ijerph16050711] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Revised: 02/19/2019] [Accepted: 02/24/2019] [Indexed: 01/29/2023]
Abstract
Volatile organic compounds (VOCs) emission from anthropogenic sources has becoming increasingly serious in recent decades owing to the substantial contribution to haze formation and adverse health impact. To tackle this issue, various physical and chemical techniques are applied to eliminate VOC emissions so as to reduce atmospheric pollution. Among these methods, non-thermal plasma (NTP) is receiving increasing attention for the higher removal efficiency, non-selectivity, and moderate operation, whereas the unwanted producing of NO2 and O3 remains important drawback. In this study, a dielectric barrier discharge (DBD) reactor with wedged high voltage electrode coupled CuO foam in an in plasma catalytic (IPC) system was developed to remove toluene as the target VOC. The monolith CuO foam exhibits advantages of easy installation and controllable of IPC length. The influencing factors of IPC reaction were studied. Results showed stronger and more stable plasma discharge in the presence of CuO foam in DBD reactor. Enhanced performance was observed in IPC reaction for both of toluene conversion rate and CO2 selectivity compared to the sole NTP process at the same input energy. The longer the contributed IPC length, the higher the toluene removal efficiency. The toluene degradation mechanism under IPC condition was speculated. The producing of NO2 and O3 under IPC process were effectively removed using Na2SO3 bubble absorption.
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30
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Kim SJ, Kwon HO, Lee MI, Seo Y, Choi SD. Spatial and temporal variations of volatile organic compounds using passive air samplers in the multi-industrial city of Ulsan, Korea. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:5831-5841. [PMID: 30613884 DOI: 10.1007/s11356-018-4032-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Accepted: 12/17/2018] [Indexed: 06/09/2023]
Abstract
The source-receptor relationship of volatile organic compounds (VOCs) is an important environmental concern, particularly in large industrial cities; however, only a few studies have identified VOC sources using high spatial resolution data. In this study, 28 VOCs were monitored in Ulsan, the biggest multi-industrial city in Korea. Passive air samplers were seasonally deployed at eight urban and six industrial sites. The target compounds were detected at all sites. No significant seasonal variations of VOCs were observed probably due to the continuous emissions from major industrial facilities. Benzene, toluene, ethylbenzene, xylenes, and styrene accounted for 66-86% of the concentration of Σ28 VOCs. The spatial distribution of the individual VOCs clearly indicated that petrochemical, automobile, non-ferrous, and shipbuilding industries were major VOC sources. Seasonal wind patterns were found to play a role in the spatial distribution of VOCs. Diagnostic ratios also confirmed that the industrial complexes were the dominant VOC sources. The results of principal component analysis and correlation analyses identified the influence of specific compounds from each industrial complex on individual sites. To the best of our knowledge, this is the first comprehensive report on the seasonal distribution of VOCs with high spatial resolution in a metropolitan industrial city in Korea.
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Affiliation(s)
- Seong-Joon Kim
- School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Hye-Ok Kwon
- School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Myoung-In Lee
- School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Yongwon Seo
- School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Sung-Deuk Choi
- School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.
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31
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Yang BY, Bloom MS, Markevych I, Qian ZM, Vaughn MG, Cummings-Vaughn LA, Li S, Chen G, Bowatte G, Perret JL, Dharmage SC, Heinrich J, Yim SHL, Lin S, Tian L, Yang M, Liu KK, Zeng XW, Hu LW, Guo Y, Dong GH. Exposure to ambient air pollution and blood lipids in adults: The 33 Communities Chinese Health Study. ENVIRONMENT INTERNATIONAL 2018; 119:485-492. [PMID: 30048882 DOI: 10.1016/j.envint.2018.07.016] [Citation(s) in RCA: 105] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2018] [Revised: 07/08/2018] [Accepted: 07/09/2018] [Indexed: 05/05/2023]
Abstract
BACKGROUND Little information exists on the lipidemic effects of air pollution, particularly in developing countries. We aimed to investigate the associations of long-term exposure to ambient air pollutants with lipid levels and dyslipidemias in China. METHODS In 2009, a total of 15,477 participants aged 18-74 years were recruited from the 33 Communities Chinese Health Study conducted in three Northeastern China cities. Total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were measured in participants' blood specimens. Three year (2006-08) average air pollution concentrations were assessed using data from 33 communities (particles with diameters ≤1.0 μm (PM1) and ≤2.5 μm (PM2.5) were predicted using a spatial statistical model) or 11 air monitoring stations (particles with diameters ≤10 μm (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), and ozone (O3)). Associations were evaluated by two-level logistic and generalized linear regression models. RESULTS We detected many significant associations between exposure to air pollutants (especially for PM1 and PM2.5) and blood lipid levels. Most of the associations suggested deleterious effects on blood lipid markers (e.g., a 10 μg/m3 increase in PM1 was associated with 1.6% (95% confidence interval (CI): 1.1, 2.0), 2.9% (95% CI: -3.3, 9.3), and 3.2% (95% CI: 2.6, 3.9) higher levels of TC, TG, and LDL-C, respectively, but 1.4% (95% CI: -1.8, -0.9) lower HDL-C levels), although beneficial associations were found for O3. In analysis with dyslipidemias, all the observed associations suggested deleterious lipidemic effects of air pollutants, and no significant beneficial association was observed for O3. Stratified analyses showed that the associations were stronger in overweight or obese participants; sex and age modified the associations, but the pattern of effects was mixed. CONCLUSIONS Long-term ambient air pollution was associated with both altered lipid profiles and dyslipidemias, especially among overweight or obese participants.
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Affiliation(s)
- Bo-Yi Yang
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Michael S Bloom
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; Departments of Environmental Health Sciences and Epidemiology and Biostatics, University at Albany, State University of New York, Rensselaer, NY, USA
| | - Iana Markevych
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich; Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Zhengmin Min Qian
- Department of Epidemiology, College for Public Health and Social Justice, Saint Louis University, Saint Louis 63104, USA
| | - Michael G Vaughn
- School of Social Work, College for Public Health and Social Justice, Saint Louis University, Saint Louis 63104, USA
| | - Lenise A Cummings-Vaughn
- Division of Geriatrics and Nutritional Science, School of Medicine, Washington University-St. Louis, 4921 Parkview Place, St.Louis, MO 63110, USA
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne VIC 3004, Australia
| | - Gongbo Chen
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne VIC 3004, Australia
| | - Gayan Bowatte
- Allergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, School of Population & Global Health, The University of Melbourne, Melbourne, Australia; National Institute of Fundamental Studies, Kandy, Sri Lanka
| | - Jennifer L Perret
- Allergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, School of Population & Global Health, The University of Melbourne, Melbourne, Australia
| | - Shyamali C Dharmage
- Allergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, School of Population & Global Health, The University of Melbourne, Melbourne, Australia; Murdoch Childrens Research Institute, Melbourne, Australia
| | - Joachim Heinrich
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich; Comprehensive Pneumology Center Munich, German Center for Lung Research, Ziemssenstrasse 1, 80336 Muenchen, Germany
| | - Steve Hung-Lam Yim
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China; Stanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China; Institute of Environment, Energy and Sustainability, The Chinese Uni-versity of Hong Kong, Shatin, NT, Hong Kong, China
| | - Shao Lin
- Departments of Environmental Health Sciences and Epidemiology and Biostatics, University at Albany, State University of New York, Rensselaer, NY, USA
| | - Linwei Tian
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Mo Yang
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Kang-Kang Liu
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xiao-Wen Zeng
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Li-Wen Hu
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne VIC 3004, Australia.
| | - Guang-Hui Dong
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
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32
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Sources Profiles of Volatile Organic Compounds (VOCs) Measured in a Typical Industrial Process in Wuhan, Central China. ATMOSPHERE 2018. [DOI: 10.3390/atmos9080297] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Industrial emission is an important source of ambient volatile organic compounds (VOCs) in Wuhan City, Hubei Province, China. We collected 53 VOC samples from petrochemical, surface coating, electronic manufacturing, and gasoline evaporation using stainless canisters to develop localized source profiles. Concentrations of 86 VOC species, including hydrocarbons, halocarbons, and oxygenated VOCs, were quantified by a gas chromatography–flame ionization detection/mass spectrometry system. Alkanes were the major constituents observed in the source profile from the petrochemical industry. Aromatics (79.5~81.4%) were the largest group in auto-painting factories, while oxygenated VOCs (82.0%) and heavy alkanes (68.7%) were dominant in gravure printing and offset printing factories, respectively. Acetone was the largest contributor and the most frequently monitored species in printed circuit board (PCB) manufacturing, while VOC species emitted from integrated chip (IC) were characterized by high contents of isopropanol (56.4–98.3%) and acetone (30.8%). Chemical compositions from vapor of gasoline 92#, 93#, and 98# were almost identical. Alkanes were the dominant VOC group, with i-pentane being the most abundant species (31.4–37.7%), followed by n-butane and n-pentane. However, high loadings of heavier alkanes were observed in the profile of diesel evaporation.
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33
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Dehghani F, Omidi F, Heravizadeh O, Barati Chamgordani S, Gharibi V, Sotoudeh Manesh A. Occupational health risk assessment of volatile organic compounds emitted from the coke production unit of a steel plant. INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS 2018; 26:227-232. [DOI: 10.1080/10803548.2018.1443593] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Fateme Dehghani
- Department of Occupational Health Engineering, Tehran University of Medical Sciences, Iran
| | - Fariborz Omidi
- Department of Occupational Health Engineering, Tehran University of Medical Sciences, Iran
| | - Omidreza Heravizadeh
- Department of Occupational Health Engineering, Tehran University of Medical Sciences, Iran
| | | | - Vahid Gharibi
- Environmental and Occupational Health Research Center, Shahroud University of Medical Sciences, Iran
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Morgott DA. The Human Exposure Potential from Propylene Releases to the Environment. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15010066. [PMID: 29300328 PMCID: PMC5800165 DOI: 10.3390/ijerph15010066] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Revised: 12/22/2017] [Accepted: 12/23/2017] [Indexed: 11/16/2022]
Abstract
A detailed literature search was performed to assess the sources, magnitudes and extent of human inhalation exposure to propylene. Exposure evaluations were performed at both the community and occupational levels for those living or working in different environments. The results revealed a multitude of pyrogenic, biogenic and anthropogenic emission sources. Pyrogenic sources, including biomass burning and fossil fuel combustion, appear to be the primary contributors to atmospheric propylene. Despite a very short atmospheric lifetime, measurable levels could be detected in highly remote locations as a result of biogenic release. The indoor/outdoor ratio for propylene has been shown to range from about 2 to 3 in non-smoking homes, which indicates that residential sources may be the largest contributor to the overall exposure for those not occupationally exposed. In homes where smoking takes place, the levels may be up to thirty times higher than non-smoking residences. Atmospheric levels in most rural regions are typically below 2 ppbv, whereas the values in urban levels are much more variable ranging as high as 10 ppbv. Somewhat elevated propylene exposures may also occur in the workplace; especially for firefighters or refinery plant operators who may encounter levels up to about 10 ppmv.
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Affiliation(s)
- David A Morgott
- Pennsport Consulting, LLC, 1 Christian Street, Unit#21, Philadelphia, PA 19147, USA.
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Dhaini HR, Salameh T, Waked A, Sauvage S, Borbon A, Formenti P, Doussin JF, Locoge N, Afif C. Quantitative cancer risk assessment and local mortality burden for ambient air pollution in an eastern Mediterranean City. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2017; 24:14151-14162. [PMID: 28417329 DOI: 10.1007/s11356-017-9000-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Accepted: 04/06/2017] [Indexed: 06/07/2023]
Abstract
Health risks posed by ambient air pollutants to the urban Lebanese population have not been well characterized. The aim of this study is to assess cancer risk and mortality burden of non-methane hydrocarbons (NMHCs) and particulates (PM) based on two field-sampling campaigns conducted during summer and winter seasons in Beirut. Seventy NMHCs were analyzed by TD-GC-FID. PM2.5 elemental carbon (EC) components were examined using a Lab OC-EC aerosol Analyzer, and polycyclic aromatic hydrocarbons were analyzed by GC-MS. The US EPA fraction-based approach was used to assess non-cancer hazard and cancer risk for the hydrocarbon mixture, and the UK Committee on Medical Effects of Air Pollutants (COMEAP) guidelines were followed to determine the PM2.5 attributable mortality burden. The average cumulative cancer risk exceeded the US EPA acceptable level (10-6) by 40-fold in the summer and 30-fold in the winter. Benzene was found to be the highest contributor to cancer risk (39-43%), followed by 1,3-butadiene (25-29%), both originating from traffic gasoline evaporation and combustion. The EC attributable average mortality fraction was 7.8-10%, while the average attributable number of deaths (AD) and years of life lost (YLL) were found to be 257-327 and 3086-3923, respectively. Our findings provide a baseline for future air monitoring programs, and for interventions aiming at reducing cancer risk in this population.
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Affiliation(s)
- Hassan R Dhaini
- Department of Environmental Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon
| | - Thérèse Salameh
- EMMA Laboratory, Center for Analysis and Research, Faculty of Science, University Saint-Joseph, Beirut, Lebanon
- Mines Douai, Sciences de l'Atmosphère et Génie de l'Environnement (SAGE), Cedex, 59508, Douai, France
- Université de Lille, 59000, Lille, France
| | - Antoine Waked
- EMMA Laboratory, Center for Analysis and Research, Faculty of Science, University Saint-Joseph, Beirut, Lebanon
- Laboratoire de Météorologie Physique (LaMP), CNRS, UMR-6016, Université Blaise Pascal, 63171, Aubière, France
| | - Stéphane Sauvage
- Mines Douai, Sciences de l'Atmosphère et Génie de l'Environnement (SAGE), Cedex, 59508, Douai, France
- Université de Lille, 59000, Lille, France
| | - Agnès Borbon
- Laboratoire de Météorologie Physique (LaMP), CNRS, UMR-6016, Université Blaise Pascal, 63171, Aubière, France
- LISA, UMR-CNRS 7583, Institut Pierre Simon Laplace (IPSL), Université Paris Est Créteil (UPEC), Université Paris Diderot (UPD), Créteil, France
| | - Paola Formenti
- LISA, UMR-CNRS 7583, Institut Pierre Simon Laplace (IPSL), Université Paris Est Créteil (UPEC), Université Paris Diderot (UPD), Créteil, France
| | - Jean-François Doussin
- LISA, UMR-CNRS 7583, Institut Pierre Simon Laplace (IPSL), Université Paris Est Créteil (UPEC), Université Paris Diderot (UPD), Créteil, France
| | - Nadine Locoge
- Mines Douai, Sciences de l'Atmosphère et Génie de l'Environnement (SAGE), Cedex, 59508, Douai, France
- Université de Lille, 59000, Lille, France
| | - Charbel Afif
- EMMA Laboratory, Center for Analysis and Research, Faculty of Science, University Saint-Joseph, Beirut, Lebanon.
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Yan Y, Peng L, Li R, Li Y, Li L, Bai H. Concentration, ozone formation potential and source analysis of volatile organic compounds (VOCs) in a thermal power station centralized area: A study in Shuozhou, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2017; 223:295-304. [PMID: 28131475 DOI: 10.1016/j.envpol.2017.01.026] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2016] [Revised: 01/12/2017] [Accepted: 01/12/2017] [Indexed: 06/06/2023]
Abstract
Volatile organic compounds (VOCs) from two sampling sites (HB and XB) in a power station centralized area, in Shuozhou city, China, were sampled by stainless steel canisters and measured by gas chromatography-mass selective detection/flame ionization detection (GC-MSD/FID) in the spring and autumn of 2014. The concentration of VOCs was higher in the autumn (HB, 96.87 μg/m3; XB, 58.94 μg/m3) than in the spring (HB, 41.49 μg/m3; XB, 43.46 μg/m3), as lower wind speed in the autumn could lead to pollutant accumulation, especially at HB, which is a new urban area surrounded by residential areas and a transportation hub. Alkanes were the dominant group at both HB and XB in both sampling periods, but the contribution of aromatic pollutants at HB in the autumn was much higher than that of the other alkanes (11.16-19.55%). Compared to other cities, BTEX pollution in Shuozhou was among the lowest levels in the world. Because of the high levels of aromatic pollutants, the ozone formation potential increased significantly at HB in the autumn. Using the ratio analyses to identify the age of the air masses and analyze the sources, the results showed that the atmospheric VOCs at XB were strongly influenced by the remote sources of coal combustion, while at HB in the spring and autumn were affected by the remote sources of coal combustion and local sources of vehicle emission, respectively. Source analysis conducted using the Positive Matrix Factorization (PMF) model at Shuozhou showed that coal combustion and vehicle emissions made the two largest contributions (29.98% and 21.25%, respectively) to atmospheric VOCs. With further economic restructuring, the influence of vehicle emissions on the air quality should become more significant, indicating that controlling vehicle emissions is key to reducing the air pollution.
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Affiliation(s)
- Yulong Yan
- School of Environment and Chemical Engineering, North China Electric Power University, Beijing 102206, China; College of Environmental Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, Shanxi Province, China
| | - Lin Peng
- School of Environment and Chemical Engineering, North China Electric Power University, Beijing 102206, China; College of Environmental Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, Shanxi Province, China.
| | - Rumei Li
- College of Environmental Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, Shanxi Province, China
| | - Yinghui Li
- School of Environment and Chemical Engineering, North China Electric Power University, Beijing 102206, China
| | - Lijuan Li
- College of Environmental Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, Shanxi Province, China
| | - Huiling Bai
- College of Environmental Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, Shanxi Province, China
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37
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Guo H, Ling ZH, Cheng HR, Simpson IJ, Lyu XP, Wang XM, Shao M, Lu HX, Ayoko G, Zhang YL, Saunders SM, Lam SHM, Wang JL, Blake DR. Tropospheric volatile organic compounds in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2017; 574:1021-1043. [PMID: 27668854 DOI: 10.1016/j.scitotenv.2016.09.116] [Citation(s) in RCA: 84] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2016] [Revised: 09/13/2016] [Accepted: 09/15/2016] [Indexed: 06/06/2023]
Abstract
Photochemical smog, characterized by high concentrations of ozone (O3) and fine particles (PM2.5) in the atmosphere, has become one of the top environmental concerns in China. Volatile organic compounds (VOCs), one of the key precursors of O3 and secondary organic aerosol (SOA) (an important component of PM2.5), have a critical influence on atmospheric chemistry and subsequently affect regional and global climate. Thus, VOCs have been extensively studied in many cities and regions in China, especially in the North China Plain, the Yangtze River Delta and the Pearl River Delta regions where photochemical smog pollution has become increasingly worse over recent decades. This paper reviews the main studies conducted in China on the characteristics and sources of VOCs, their relationship with O3 and SOA, and their removal technology. This paper also provides an integrated literature review on the formulation and implementation of effective control strategies of VOCs and photochemical smog, as well as suggestions for future directions of VOCs study in China.
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Affiliation(s)
- H Guo
- Air Quality Studies, Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong, China.
| | - Z H Ling
- School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, China
| | - H R Cheng
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, China
| | - I J Simpson
- Department of Chemistry, University of California, Irvine, CA, USA
| | - X P Lyu
- Air Quality Studies, Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong, China
| | - X M Wang
- Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, China
| | - M Shao
- College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - H X Lu
- Air Quality Studies, Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong, China
| | - G Ayoko
- Discipline of Chemistry, Faculty of Science and Technology, Queensland University of Technology, Australia
| | - Y L Zhang
- Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, China
| | - S M Saunders
- School of Chemistry and Biochemistry, University of Western Australia, Perth, Western Australia, Australia
| | - S H M Lam
- Pacific Environment Limited, Perth, Western Australia, Australia
| | - J L Wang
- Department of Chemistry, National Central University, Taiwan
| | - D R Blake
- Department of Chemistry, University of California, Irvine, CA, USA
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38
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Licen S, Tolloi A, Briguglio S, Piazzalunga A, Adami G, Barbieri P. Small scale spatial gradients of outdoor and indoor benzene in proximity of an integrated steel plant. THE SCIENCE OF THE TOTAL ENVIRONMENT 2016; 553:524-531. [PMID: 26930323 DOI: 10.1016/j.scitotenv.2016.02.071] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2015] [Revised: 02/05/2016] [Accepted: 02/10/2016] [Indexed: 06/05/2023]
Abstract
Benzene is known as a human carcinogen, whose annual mean concentration exceeded the EU limit value (5 μg/m(3)) only in very few locations in Europe during 2012. Nevertheless 10% to 12% of the EU-28 urban population was still exposed to benzene concentrations above the WHO reference level of 1.7 μg/m(3). WHO recommended a wise choice of monitoring stations positioning in proximity of "hot spots" to define and assess the representativeness of each site paying attention to micro-scale conditions. In this context benzene and other VOCs of health concern (toluene, ethylbenzene, xylenes) concentrations have been investigated, with weekly passive sampling for one year, both in outdoor and indoor air in inhabited buildings in close proximity (180 m far up to 1100 m) of an integrated steel plant in NE of Italy. Even though the outdoor mean annual benzene concentration was below the EU limit in every site, in the site closest to the works the benzene concentration was above 5 μg/m(3) in 14 weeks. These events were related to a benzene over toluene ratio above one, which is diagnostic for the presence of an industrial source, and to meteorological factors. These information pointed at the identification of the coke ovens of the plant as the dominant outdoor source of benzene. Benzene gradients with the increasing distance from coke ovens have been found for both outdoor and indoor air. Linear models linking outdoor to indoor benzene concentrations have been then identified, allowing to estimate indoor exposure from ambient air benzene data. In the considered period, a narrow area of about 250 m appeared impacted at a higher degree than the other sites both considering outdoor and indoor air. Passive BTEX sampling permits to collect information on both ambient air and daily life settings, allowing to assemble a valuable data support for further environmental cost-benefit analyses.
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Affiliation(s)
- Sabina Licen
- Department of Chemical and Farmaceutical Sciences, University of Trieste, Via Giorgieri, 1, Trieste 34127, Italy
| | - Arianna Tolloi
- Department of Chemical and Farmaceutical Sciences, University of Trieste, Via Giorgieri, 1, Trieste 34127, Italy
| | - Sara Briguglio
- Department of Chemical and Farmaceutical Sciences, University of Trieste, Via Giorgieri, 1, Trieste 34127, Italy
| | | | - Gianpiero Adami
- Department of Chemical and Farmaceutical Sciences, University of Trieste, Via Giorgieri, 1, Trieste 34127, Italy
| | - Pierluigi Barbieri
- Department of Chemical and Farmaceutical Sciences, University of Trieste, Via Giorgieri, 1, Trieste 34127, Italy.
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39
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Esposito MP, Pedroso ANV, Domingos M. Assessing redox potential of a native tree from the Brazilian Atlantic Rainforest: a successful evaluation of oxidative stress associated to a new power generation source of an oil refinery. THE SCIENCE OF THE TOTAL ENVIRONMENT 2016; 550:861-870. [PMID: 26851758 DOI: 10.1016/j.scitotenv.2016.01.196] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2015] [Revised: 01/28/2016] [Accepted: 01/28/2016] [Indexed: 06/05/2023]
Abstract
The antioxidant responses in saplings of Tibouchina pulchra (a native tree from the Brazilian Atlantic Rainforest) exposed around an oil refinery in the city of Cubatão (SE Brazil), varied during the exchange of its power generation source, from boilers fueled with oil to a thermoelectric fueled with natural gas. The redox potential changed in response to an interaction of air pollution and meteorological parameters, indicating that the pro-oxidant/antioxidant balance was not reached after the exchange of the power generation system. The gain in environmental quality in the region was not achieved as expected due the technological modernization, at least relative to oxidative stressors. These conclusions were based on results of analyses of enzymatic antioxidants: superoxide dismutase (SOD), ascorbate peroxidase (APX), catalase (CAT), glutathione reductase (GR); non-enzymatic antioxidants: reduced, oxidized and total ascorbic acid (AsA, DHA, totAA) and glutathione (GSH, GSSG, totG), their redox state (AsA/totAA and GSH/totG) and an indicator of lipid peroxidation (MDA). We also applied exploratory multivariate statistics in order to verify if the temporal sequence of changes in the plant redox capacity coincided with changes in the profile of air pollution, climatic conditions or with their interactions and if the environmental benefits that would supposedly be promoted by the mentioned exchange of power generation system were achieved in the region.
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Affiliation(s)
- Marisia Pannia Esposito
- Instituto de Botânica, Núcleo de Pesquisa em Ecologia, PO Box 68041, 04045-972 São Paulo, SP, Brazil.
| | - Andrea Nunes Vaz Pedroso
- Instituto de Botânica, Núcleo de Pesquisa em Ecologia, PO Box 68041, 04045-972 São Paulo, SP, Brazil
| | - Marisa Domingos
- Instituto de Botânica, Núcleo de Pesquisa em Ecologia, PO Box 68041, 04045-972 São Paulo, SP, Brazil
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Qiu X, Duan L, Gao J, Wang S, Chai F, Hu J, Zhang J, Yun Y. Chemical composition and source apportionment of PM10 and PM2.5 in different functional areas of Lanzhou, China. J Environ Sci (China) 2016; 40:75-83. [PMID: 26969547 DOI: 10.1016/j.jes.2015.10.021] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2015] [Revised: 10/14/2015] [Accepted: 10/15/2015] [Indexed: 06/05/2023]
Abstract
To elucidate the air pollution characteristics of northern China, airborne PM10 (atmospheric dynamic equivalent diameter ≤ 10 μm) and PM2.5 (atmospheric dynamic equivalent diameter ≤ 2.5 μm) were sampled in three different functional areas (Yuzhong County, Xigu District and Chengguan District) of Lanzhou, and their chemical composition (elements, ions, carbonaceous species) was analyzed. The results demonstrated that the highest seasonal mean concentrations of PM10 (369.48 μg/m(3)) and PM2.5 (295.42 μg/m(3)) were detected in Xigu District in the winter, the lowest concentration of PM2.5 (53.15 μg/m(3)) was observed in Yuzhong District in the fall and PM10 (89.60 μg/m(3)) in Xigu District in the fall. The overall average OC/EC (organic carbon/elemental carbon) value was close to the representative OC/EC ratio for coal consumption, implying that the pollution of Lanzhou could be attributed to the burning of coal. The content of SNA (the sum of sulfate, nitrate, ammonium, SNA) in PM2.5 in Yuzhong County was generally lower than that at other sites in all seasons. The content of SNA in PM2.5 and PM10 in Yuzhong County was generally lower than that at other sites in all seasons (0.24-0.38), indicating that the conversion ratios from precursors to secondary aerosols in the low concentration area was slower than in the area with high and intense pollutants. Six primary particulate matter sources were chosen based on positive matrix factorization (PMF) analysis, and emissions from dust, secondary aerosols, and coal burning were identified to be the primary sources responsible for the particle pollution in Lanzhou.
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Affiliation(s)
- Xionghui Qiu
- School of Environment, Tsinghua University, Beijing 10084, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 10084, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing 210000, China
| | - Lei Duan
- School of Environment, Tsinghua University, Beijing 10084, China
| | - Jian Gao
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 10084, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing 210000, China.
| | - Shulan Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 10084, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing 210000, China
| | - Fahe Chai
- School of Environment, Tsinghua University, Beijing 10084, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 10084, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing 210000, China.
| | - Jun Hu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 10084, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing 210000, China
| | - Jingqiao Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 10084, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing 210000, China
| | - Yaru Yun
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 10084, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing 210000, China
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41
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Yu X, Xu R, Wei C, Wu H. Removal of cyanide compounds from coking wastewater by ferrous sulfate: Improvement of biodegradability. JOURNAL OF HAZARDOUS MATERIALS 2016; 302:468-474. [PMID: 26547041 DOI: 10.1016/j.jhazmat.2015.10.013] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2015] [Revised: 09/11/2015] [Accepted: 10/09/2015] [Indexed: 06/05/2023]
Abstract
The effect of ferrous sulfate (FeSO4) treatment on the removal of cyanide compounds and the improvement of biodegradability of coking wastewater were investigated by varying Fe:TCN molar ratios. Results suggested that the reaction between FeSO4 and coking wastewater was a two-step process. At the first step, i.e., 0≤Fe:TCN≤1.0, the reaction mechanisms were dominated by the precipitation of FeS, the complexation of CN(-), and the coagulation of organic compounds. The COD of coking wastewater decreased from 3748.1 mg/L to 3450.2 mg/L, but BOD5:COD (B/C) was improved from 0.30 to 0.51. At the second step, i.e., 1.0<Fe:TCN≤3.2, the immobilization of soluble metal-cyanide compounds by ferrous ions was the dominating mechanism. The COD showed a continuous increase to 3542.2 mg/L (Fe:TCN=3.2) due to the accumulated ferrous ions in coking wastewater. Moreover, B/C decreased progressively to 0.35, which was attributed to the negative effects of excess ferrous ions on biodegradability. To improve coking wastewater's biodegradability, a minimum ferrous dosage is required to complete the first step reaction. However, the optimum ferrous dosage should be determined to control a safe residual TCN in coking wastewater for the further biological treatment.
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Affiliation(s)
- Xubiao Yu
- Faculty of Architectural, Civil Engineering and Environment, Ningbo University, Ningbo 315211, PR China.
| | - Ronghua Xu
- The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, College of Environment and Energy, South China University of Technology, Guangzhou 510006, PR China
| | - Chaohai Wei
- The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, College of Environment and Energy, South China University of Technology, Guangzhou 510006, PR China
| | - Haizhen Wu
- School of Bioscience and Bioengineering, South China University of Technology, Guangzhou, Guangdong 510006, PR China
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