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Chen K, Gu X, Cai M, Zhao W, Wang B, Yang H, Liu X, Li X. Emission characteristics, environmental impacts and health risk assessment of volatile organic compounds from the typical chemical industry in China. J Environ Sci (China) 2025; 149:113-125. [PMID: 39181627 DOI: 10.1016/j.jes.2023.10.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 10/17/2023] [Accepted: 10/18/2023] [Indexed: 08/27/2024]
Abstract
To study the volatile organic compounds (VOCs) emission characteristics of industrial enterprises in China, 6 typical chemical industries in Yuncheng City were selected as research objects, including the modern coal chemical industry (MCC), pharmaceutical industry (PM), pesticide industry (PE), coking industry (CO) and organic chemical industry (OC). The chemical composition of 91 VOCs was quantitatively analyzed. The results showed that the emission concentration of VOCs in the chemical industry ranged from 1.16 to 155.59 mg/m3. Alkanes were the main emission components of MCC (62.0%), PE (55.1%), and OC (58.5%). Alkenes (46.5%) were important components of PM, followed by alkanes (23.8%) and oxygenated volatile organic compounds (OVOCs) (21.2%). Halocarbons (8.6%-71.1%), OVOCs (9.7%-37.6%) and alkanes (11.2%-27.0%) were characteristic components of CO. The largest contributor to OFP was alkenes (0.6%-81.7%), followed by alkanes (9.3%-45.9%), and the lowest one was alkyne (0%-0.5%). Aromatics (66.9%-85.4%) were the largest contributing components to SOA generation, followed by alkanes (2.6%-28.5%), and the lowest one was alkenes (0%-4.1%). Ethylene and BTEX were the key active species in various chemical industries. The human health risk assessment showed workers long-term exposed to the air in the chemical industrial zone had a high cancer and non-cancer risk during work, and BTEX and dichloromethane were the largest contributors.
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Affiliation(s)
- Kaitao Chen
- Analysis and Testing Center, Department of Chemistry, Capital Normal University, Beijing 100048, China
| | - Xin Gu
- Analysis and Testing Center, Department of Chemistry, Capital Normal University, Beijing 100048, China
| | - Min Cai
- College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China
| | - Weicheng Zhao
- Analysis and Testing Center, Department of Chemistry, Capital Normal University, Beijing 100048, China
| | - Boxuan Wang
- Analysis and Testing Center, Department of Chemistry, Capital Normal University, Beijing 100048, China
| | - Haoran Yang
- Analysis and Testing Center, Department of Chemistry, Capital Normal University, Beijing 100048, China
| | - Xingang Liu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China.
| | - Xingru Li
- Analysis and Testing Center, Department of Chemistry, Capital Normal University, Beijing 100048, China.
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2
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Lu X, Zhang D, Wang L, Wang S, Zhang X, Liu Y, Chen K, Song X, Yin S, Zhang R, Wang S, Yuan M. Establishment and verification of anthropogenic speciated VOCs emission inventory of Central China. J Environ Sci (China) 2025; 149:406-418. [PMID: 39181653 DOI: 10.1016/j.jes.2024.01.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 01/22/2024] [Accepted: 01/24/2024] [Indexed: 08/27/2024]
Abstract
Improving the accuracy of anthropogenic volatile organic compounds (VOCs) emission inventory is crucial for reducing atmospheric pollution and formulating control policy of air pollution. In this study, an anthropogenic speciated VOCs emission inventory was established for Central China represented by Henan Province at a 3 km × 3 km spatial resolution based on the emission factor method. The 2019 VOCs emission in Henan Province was 1003.5 Gg, while industrial process source (33.7%) was the highest emission source, Zhengzhou (17.9%) was the city with highest emission and April and August were the months with the more emissions. High VOCs emission regions were concentrated in downtown areas and industrial parks. Alkanes and aromatic hydrocarbons were the main VOCs contribution groups. The species composition, source contribution and spatial distribution were verified and evaluated through tracer ratio method (TR), Positive Matrix Factorization Model (PMF) and remote sensing inversion (RSI). Results show that both the emission results by emission inventory (EI) (15.7 Gg) and by TR method (13.6 Gg) and source contribution by EI and PMF are familiar. The spatial distribution of HCHO primary emission based on RSI is basically consistent with that of HCHO emission based on EI with a R-value of 0.73. The verification results show that the VOCs emission inventory and speciated emission inventory established in this study are relatively reliable.
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Affiliation(s)
- Xuan Lu
- College of Chemistry, Zhengzhou University, Zhengzhou 450001, China; Research Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Dong Zhang
- College of Chemistry, Zhengzhou University, Zhengzhou 450001, China; Research Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Lanxin Wang
- College of Chemistry, Zhengzhou University, Zhengzhou 450001, China; Research Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Shefang Wang
- Research Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China; School of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, China
| | - Xinran Zhang
- College of Chemistry, Zhengzhou University, Zhengzhou 450001, China; Research Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Yali Liu
- Research Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China; School of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, China
| | - Keying Chen
- College of Chemistry, Zhengzhou University, Zhengzhou 450001, China; Research Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Xinshuai Song
- Research Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China; School of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, China
| | - Shasha Yin
- Research Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China; School of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, China.
| | - Ruiqin Zhang
- Research Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China; School of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, China
| | - Shanshan Wang
- Research Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China; School of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, China
| | - Minghao Yuan
- Zhengzhou Ecological Environment Monitoring Center of Henan Province, Zhengzhou 450000, China
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Khruengsai S, Sivapornnukul P, Janta R, Phonrung N, Sripahco T, Meesang W, Aiyathiti C, Prabamroong T, Mahatheeranont S, Pripdeevech P, Poshyachinda S, Pongpiachan S. Seasonal and height dynamics of volatile organic compounds in rubber plantation: Impacts on ozone and secondary organic aerosol formation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 945:173984. [PMID: 38897456 DOI: 10.1016/j.scitotenv.2024.173984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2024] [Revised: 06/03/2024] [Accepted: 06/11/2024] [Indexed: 06/21/2024]
Abstract
Rubber trees emit a range of volatile organic compounds (VOCs), including isoprene, monoterpenes, and sesquiterpenes, as part of their natural metabolism. These VOCs can significantly influence air quality through photochemical reactions that produce ozone and secondary organic aerosols (SOAs). This study examines the impact of VOCs detected in a rubber tree plantation in Northeastern Thailand on air quality, highlighting their role in atmospheric reactions that lead to the formation of ozone and SOAs. VOCs were collected at varying heights and seasons using Tenax-TA tubes paired with an atmospheric sampler pump and identified by gas chromatography-mass spectrometry. In total, 100 VOCs were identified, including alkanes, alkenes, terpenes, aromatics, and oxygenated VOCs. Principal Coordinate Analysis (PCoA) revealed distinct seasonal VOC profiles, with hydrocarbons, peaking in summer and terpenes in the rainy season. The Linear Mixed-Effects (LME) model indicates that VOC concentrations are more influenced by seasonal changes than by sampling heights. Secondary organic aerosol potential (SOAP) and ozone formation potential (OFP) of selected VOC species were also determined. The total SOAP ranged from 67.24 μg/m3 in summer to 17.87 μg/m3 in winter, while the total OFP ranged from 377.87 μg/m3 in summer to 139.39 μg/m3 in winter. Additionally, positive matrix factorization (PMF) analysis identified four main VOC sources: gasoline combustion (18.3 %), microbial activity (38.6 %), monoterpene emissions during latex production (15.0 %), and industrial sources (28.1 %). These findings provide essential information for managing air pollution in rubber tree plantations. By adopting focused air quality management strategies, plantation operators can mitigate the adverse effects of VOCs, promoting a healthier and more sustainable future.
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Affiliation(s)
- Sarunpron Khruengsai
- National Astronomical Research Institute of Thailand (Public Organization), Chiang Mai, Thailand.
| | - Pavaret Sivapornnukul
- Center of Excellence in Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Radshadaporn Janta
- Office of Research Administration, Chiang Mai University, Chiang Mai, Thailand; Environmental Science Research Center, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand
| | - Narumon Phonrung
- National Astronomical Research Institute of Thailand (Public Organization), Chiang Mai, Thailand
| | - Teerapong Sripahco
- National Astronomical Research Institute of Thailand (Public Organization), Chiang Mai, Thailand
| | - Winai Meesang
- Department of Environmental Sciences, Faculty of Science, Udon Thani Rajabhat University, Udon Thani, Thailand
| | - Chatchaval Aiyathiti
- Department of Environmental Engineering, Khon Kaen University, Khon Kaen, Thailand
| | - Thayukorn Prabamroong
- Climate Change, Mitigation and Adaptation Research Unit, Faculty of Environment and Resource Studies, Mahasarakham University, Mahasarakham, Thailand
| | - Sugunya Mahatheeranont
- Department of Chemistry, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand; Center of Excellence for Innovation in Chemistry, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand; Research Center on Chemistry for Development of Health Promoting Products from Northern Resources, Chiang Mai University, Chiang Mai, Thailand
| | - Patcharee Pripdeevech
- School of Science, Mae Fah Luang University, Chiang Rai, Thailand; Center of Chemical Innovation for Sustainability (CIS), Mae Fah Luang University, Chiang Rai, Thailand
| | - Saran Poshyachinda
- National Astronomical Research Institute of Thailand (Public Organization), Chiang Mai, Thailand
| | - Siwatt Pongpiachan
- National Astronomical Research Institute of Thailand (Public Organization), Chiang Mai, Thailand; Graduate School of Social Development and Management Strategy National Institute of Development Administration (NIDA), Bangkok, Thailand.
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Chen X, Li C, Jiang M, Zhang J, Qian G. Enhanced Replenishment of Active Lattice Oxygen Using Chiral Copper Oxide. ACS APPLIED MATERIALS & INTERFACES 2024; 16:28517-28525. [PMID: 38769473 DOI: 10.1021/acsami.4c03699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Effective catalytic performance of the transition metal oxide is attributed to high specific surface areas, abundant surface oxygen atoms, and balanced valence ratios. Although the chirality of the transition metal has attracted attention, most studies have focused on optical application. A few chiral transition metal oxides were used as electrocatalysts and photocatalysts. The influence of the chiral catalysts on the thermal catalysis process has been less explored. In this study, Mn-loaded chiral (M/l-CuO and M/d-CuO) and achiral CuO (M/a-CuO) were synthesized and compared in the catalytic oxidization of toluene. Spectrally analyzed Mn was well-dispersed on both chiral and achiral CuO. l-CuO and d-CuO showed nanoflower-like chirality. The angles between each (001) plane of CuO were the source of chirality. The toluene turnover frequency (TOF) of the samples was in the order of Mn/d-CuO (5.6 × 10-5 s-1) > Mn/l-CuO (4.4 × 10-5 s-1) > Mn/a-CuO (3.2 × 10-5 s-1) at 240 °C, consistent with the order of the oxygen replenishment rate. The as-prepared catalysts had similar ratios of lattice oxygen/surface adsorbed oxygen, Mn3+/Mn4+, and Cu+/Cu2+. A higher TOF was attributed to chirality, which increased the lattice oxygen replenishment speed from the gaseous phase to the solid surface. Our study indicates gas-solid catalysis from a structure-activity viewpoint.
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Affiliation(s)
- Xinru Chen
- SHU Center of Green Urban Mining & Industry Ecology, School of Environmental and Chemical Engineering, Shanghai University, No. 381 Nanchen Road, Shanghai 200444, P. R. China
| | - Chengyan Li
- SHU Center of Green Urban Mining & Industry Ecology, School of Environmental and Chemical Engineering, Shanghai University, No. 381 Nanchen Road, Shanghai 200444, P. R. China
| | - Meijia Jiang
- SHU Center of Green Urban Mining & Industry Ecology, School of Environmental and Chemical Engineering, Shanghai University, No. 381 Nanchen Road, Shanghai 200444, P. R. China
| | - Jia Zhang
- SHU Center of Green Urban Mining & Industry Ecology, School of Environmental and Chemical Engineering, Shanghai University, No. 381 Nanchen Road, Shanghai 200444, P. R. China
| | - Guangren Qian
- MGI of Shanghai University, Xiapu Town, Xiangdong District, Pingxiang City, Jiangxi 337022, P. R. 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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Mai JL, Cai XC, Luo DY, Zeng Y, Guan YF, Gao W, Chen SJ. Spatiotemporal variations, sources, and atmospheric transformation potential of volatile organic compounds in an industrial zone based on high-resolution measurements in three plants. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 923:171352. [PMID: 38432387 DOI: 10.1016/j.scitotenv.2024.171352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 02/26/2024] [Accepted: 02/27/2024] [Indexed: 03/05/2024]
Abstract
Industrial emissions are significant sources of volatile organic compounds (VOCs). This study conducted a field campaign at high temporal and spatial resolution to monitor VOCs within three plants in an industrial park in southern China. VOC concentrations showed significant spatial variability in this industrial zone, with median concentrations of 75.22, 40.53, and 29.41 μg/m3 for the total VOCs in the three plants, respectively, with oxygenated VOCs (OVOCs) or aromatics being the major VOCs. Spatial variability within each plant was also significant but VOC-dependent. Seasonal variations in the VOC levels were governed by their industrial emissions, meteorological conditions, and photochemical losses, and they were different for the four groups of VOCs. The temporal and spatial variations in the VOC compositions suggest similar sources of each class of VOCs during different periods of the year in each plant. The diurnal patterns of VOCs (unimodal or bimodal) clearly differed from those at most industrial/urban locations previously, reflecting a dependence on industrial activities. The secondary transformation potential of VOCs also varied temporally and spatially, and aromatics generally made the predominant contributions in this industrial park. The loss rate of OH radicals and ozone formation potential were highly correlated, but the linear relationship substantially changed in summer and autumn due to the intensive emissions of an OVOC species. The lifetime cancer and non-cancer risks via occupational inhalation of the VOCs in the plants were acceptable but merit attention. Taking the secondary transformation potential and health risks into consideration, styrene, xylene, toluene, trichloroethylene, and benzene were proposed to be the priority VOCs regulated in the plants.
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Affiliation(s)
- Jin-Long Mai
- School of Environment, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China.
| | - Xing-Cong Cai
- Guangzhou Hexin Instrument Co., Ltd., Guangzhou 510530, China.
| | - De-Yao Luo
- Guangzhou Hexin Instrument Co., Ltd., Guangzhou 510530, China.
| | - Yuan Zeng
- School of Environment, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China.
| | - Yu-Feng Guan
- School of Environment, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China.
| | - Wei Gao
- Institute of Mass Spectrometry and Atmospheric Environment & Guangdong Provincial Engineering Research Center for Online Source Apportionment System of Air Pollution, Jinan University, Guangzhou 510632, China.
| | - She-Jun Chen
- School of Environment, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou 510006, China.
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7
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You G, Jin Z, Lu S, Ren J, Xie S. Emission factors and source profiles of volatile organic compounds in container manufacturing industry. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 916:170138. [PMID: 38237787 DOI: 10.1016/j.scitotenv.2024.170138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 01/09/2024] [Accepted: 01/11/2024] [Indexed: 01/28/2024]
Abstract
The container manufacturing industry is the key contributor of industrial volatile organic compounds (VOCs). Emission factors (EFs) and source profiles of container manufacturing industry were comprehensively investigated basing on multiple VOCs discharge links. 17 samples were collected from a typical container manufacturing enterprise based on field measurements. The material balance method and weighted average method were applied to estimate EFs and establish VOCs source profiles. It is found that diluent use (DU) was the largest contributor (39.96 %), followed by intermediate painting spaying (IMPS), primer painting (PP), chassis painting (CP), exterior paint spaying (EPS), and interior paint spaying (IPS). EF of the container manufacturing industry (2.90 kg VOCs/ Twenty-foot Equivalent Units, TEU) was firstly estimated. EFs of six processes were further estimated. The EFs of DU, IMPS, PP, CP, EPS, and IPS were 1.22, 0.74, 0.42, 0.33, 0.20, and 0.00045 kg VOCs/TEU, respectively. EFs of six materials were further estimated. The EF of the diluent was largest (382.74 kg VOCs/t material), followed by water-based epoxy intermediate paint (132.09 kg VOCs/t material), organic-based epoxy zinc-rich priming paint (91.31 kg VOCs/t material). EFs of other paints ranged from 0.0047 to 43.01 kg VOCs/t material. These results suggest that the replacement of lower- VOCs- contained diluent and effective control from diluent consumption are dramatically conducive to VOCs reduction. Source profiles were established at the industry and individual process levels. Aromatics (77.05-98.38 %) were dominant components in all processes, followed by alkane and OVOCs. m/p-Xylene, o-xylene, and ethylbenzene were the key active species that should be prioritized for control. Overall, EFs and source profiles of the container manufacturing industry were firstly proposed, conducing to the systematic formulation of VOCs control strategies.
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Affiliation(s)
- Guiying You
- College of Environmental Science and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871, China
| | - Zengxin Jin
- Department of Ecology and Environment of Liaoning, Liaoning 110161, China
| | - Sihua Lu
- College of Environmental Science and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871, China
| | - Jie Ren
- College of Environmental Science and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871, China
| | - Shaodong Xie
- College of Environmental Science and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871, China.
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8
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Wang R, Wang X, Cheng S, Zhu J, Zhang X, Cheng L, Wang K. Determining an optimal control strategy for anthropogenic VOC emissions in China based on source emissions and reactivity. J Environ Sci (China) 2024; 136:248-260. [PMID: 37923435 DOI: 10.1016/j.jes.2022.10.034] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 10/21/2022] [Accepted: 10/24/2022] [Indexed: 11/07/2023]
Abstract
An evidence-based control strategy for emission reduction of VOC sources can effectively solve the regional PM2.5 and O3 compound pollution in China. We estimated the anthropogenic VOC emission inventory in China in 2018 and established a source profile database containing 129 sources based on localized detection and the latest research results. Then, the distribution of the ozone formation potential (OFP) and secondary organic aerosol formation potential (SOAFP) for emission sources was analyzed. Moreover, priority control routes for VOC emission sources were proposed for different periods. Anthropogenic VOC emissions in China reached 27,211.8 Gg in 2018, and small passenger cars, industrial protective coatings, biomass burning, heavy trucks, printing, asphalt paving, oil storage and transportation, coking, and oil refining were the main contributors. Industrial protective coatings, small passenger cars, and biomass burning all contributed significantly to OFP and SOAFP. Priority in emission reduction control should be given to industrial protective coatings, small passenger cars, heavy trucks, coking, printing, asphalt paving, chemical fibers, and basic organic chemical sources over the medium and long term in China. In addition, the priority control route for VOC emission sources should be adjusted according to the variations in VOC emission characteristics and regional differences, so as to obtain the maximum environmental benefits.
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Affiliation(s)
- Ruipeng Wang
- Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
| | - Xiaoqi Wang
- Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China.
| | - Shuiyuan Cheng
- Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China.
| | - Jiaxian Zhu
- Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
| | - Xinyu Zhang
- Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
| | - Long Cheng
- Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
| | - Kai Wang
- Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
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9
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Liang C, Feng B, Wang S, Zhao B, Xie J, Huang G, Zhu L, Hao J. Differentiated emissions and secondary organic aerosol formation potential of organic vapor from industrial coatings in China. JOURNAL OF HAZARDOUS MATERIALS 2024; 466:133668. [PMID: 38309167 DOI: 10.1016/j.jhazmat.2024.133668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 12/29/2023] [Accepted: 01/28/2024] [Indexed: 02/05/2024]
Abstract
Organic vapors emitted during solvent use are important precursors of secondary organic aerosols (SOAs). Industrial coatings are a major class of solvents that emit volatile and intermediate volatile organic compounds (VOCs and IVOCs, respectively). However, the emission factors and source profiles of VOCs and IVOCs from industrial coatings remain unclear. In this study, representative solvent- and water-based industrial paints were evaporated, sampled and tested using online and offline instruments. The VOC and IVOC emission factors for solvent-based paints are 129-254 and 25-80 g/kg, while for water-based paint are 13 and 32 g/kg, respectively. In solvent-based paints, the VOCs are mainly aromatics, while the IVOCs are composed of long-chain alkanes, alkenes, carbonyls and halocarbons. The VOCs and IVOCs in water-based paint are mostly oxygenates, such as ethanol, acetone, ethylene glycol, and Texanol. During the evaporation of solvent-based paints, the fraction of IVOCs increases along with those of alkenes and aldehydes, while the proportion of aromatics decreases. For water-based paint, the fraction of IVOCs slightly decreases with evaporation. The SOA formation potentials of solvent-based paints are 8.6-28.0 g/kg, much higher than that of water-based paint (0.65 g/kg); thus, substituting solvent-based paints with water-based paints may significantly decrease SOA formation.
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Affiliation(s)
- Chengrui Liang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Boyang Feng
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Shuxiao Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China.
| | - Bin Zhao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Jinzi Xie
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Guanghan Huang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Liang Zhu
- TOFWERK China, No. 320, Pubin Road, Pukou, Nanjing 211800, China
| | - Jiming Hao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
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10
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Nelson D, Choi Y, Sadeghi B, Yeganeh AK, Ghahremanloo M, Park J. A comprehensive approach combining positive matrix factorization modeling, meteorology, and machine learning for source apportionment of surface ozone precursors: Underlying factors contributing to ozone formation in Houston, Texas. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 334:122223. [PMID: 37481031 DOI: 10.1016/j.envpol.2023.122223] [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: 04/25/2023] [Revised: 07/13/2023] [Accepted: 07/17/2023] [Indexed: 07/24/2023]
Abstract
Ozone concentrations in Houston, Texas, are among the highest in the United States, posing significant risks to human health. This study aimed to evaluate the impact of various emissions sources and meteorological factors on ozone formation in Houston from 2017 to 2021 using a comprehensive PMF-SHAP approach. First, we distinguished the unique sources of VOCs in each area and identified differences in the local chemistry that affect ozone production. At the urban station, the primary sources were n_decane, biogenic/industrial/fuel evaporation, oil and gas flaring/production, industrial emissions/evaporation, and ethylene/propylene/aromatics. At the industrial site, the main sources were industrial emissions/evaporation, fuel evaporation, vehicle-related sources, oil and gas flaring/production, biogenic, aromatic, and ethylene and propylene. And then, we performed SHAP analysis to determine the importance and impact of each emissions factor and meteorological variables. Shortwave radiation (SHAP values are ∼5.74 and ∼6.3 for Milby Park and Lynchburg, respectively) and humidity (∼4.87 and ∼4.71, respectively) were the most important variables for both sites. For the urban station, the most important emissions sources were n_decane (∼2.96), industrial emissions/evaporation (∼1.89), and ethylene/propylene/aromatics (∼1.57), while for the industrial site, they were oil and gas flaring/production (∼1.38), ethylene/propylene (∼1.26), and industrial emissions/evaporation (∼0.95). NOx had a negative impact on ozone production at the urban station due to the NOx-rich chemical regime, whereas NOx had positive impacts at the industrial site. The study's findings suggest that the PMF-SHAP approach is efficient, inexpensive, and can be applied to other similar applications to identify factors contributing to ozone-exceedance events. The study's results can be used to develop more effective air quality management strategies for Houston and other cities with high levels of ozone.
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Affiliation(s)
- Delaney Nelson
- Department of Earth and Atmospheric Science, University of Houston, Texas, USA
| | - Yunsoo Choi
- Department of Earth and Atmospheric Science, University of Houston, Texas, USA.
| | - Bavand Sadeghi
- Air Resources Laboratory, National Oceanic and Atmospheric Administration, College Park, MD, 20740, USA; Cooperative Institute for Satellite Earth System Studies, University of Maryland, College Park, MD, 20740, USA
| | | | - Masoud Ghahremanloo
- Department of Earth and Atmospheric Science, University of Houston, Texas, USA
| | - Jincheol Park
- Department of Earth and Atmospheric Science, University of Houston, Texas, USA
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11
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Liu X, Liu J, Chen J, Zhong F. Investigation on removal of multi-component volatile organic compounds in a two-stage plasma catalytic oxidation system - Comparison of X (X=Cu, Fe, Ce and La) doped Mn 2O 3 catalysts. CHEMOSPHERE 2023; 329:138557. [PMID: 37037354 DOI: 10.1016/j.chemosphere.2023.138557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 03/29/2023] [Accepted: 03/30/2023] [Indexed: 05/03/2023]
Abstract
Mn2O3-X catalysts (X = Cu, Fe, Ce and La) were prepared based on γ-Al2O3 for the mixture degradation of muti-component volatile organic compounds (VOCs) composed of toluene, acetone, and ethyl acetate. The catalysts were characterized, and the density functional theory (DFT) simulation of ozone adsorption on Mn2O3-X were carried out to investigate the influence of adsorption energy on catalytic performance. The results showed that the removal efficiency (RE) of each VOC component was similarly improved by Mn2O3-X catalysts, and the greatest increase in VOCs' removal efficiency was obtained (7.8% for toluene, 86.2% for acetone, and 82.5% for ethyl acetate) at a special input energy (SIE) of 700 J L-1 with Mn2O3-La catalyst. Characterization results demonstrated that Mn2O3-La catalyst had the highest content of low valence Mn elements and the greatest Oads/Olatt ratio, as well as the lowest reduction temperature. Mn2O3-La catalyst also presented superior catalytic effect in improving carbon balance (CB) and CO2 selectivity ( [Formula: see text] ). The CB and [Formula: see text] were increased by 47.7% and 12.61% respectively with Mn2O3-La at a SIE of 400 J L-1 compared with that when only γ-Al2O3 was applied. The DFT simulation results of ozone adsorption on Mn2O3-X catalysts indicated that the adsorption energy of catalyst crystal was related to the catalytic performance of the catalyst. The Mn2O3-La/γ-Al2O3 catalyst, which had the highest absolute value of adsorption energy, presented the best performance in improving VOCs' RE.
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Affiliation(s)
- Xin Liu
- College of Environmental Science and Engineering, Donghua University, Shanghai, 201620, People's Republic of China; School of Energy and Power, Jiangsu University of Science and Technology, Zhenjiang, 212003, People's Republic of China
| | - Jianqi Liu
- College of Environmental Science and Engineering, Donghua University, Shanghai, 201620, People's Republic of China
| | - Jiayao Chen
- College of Science, Donghua University, Shanghai, 201620, People's Republic of China
| | - Fangchuan Zhong
- College of Science, Donghua University, Shanghai, 201620, People's Republic of China; Member of Magnetic Confinement Fusion Research Centre, Ministry of Education of the People's Republic of China, People's Republic of China.
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12
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Hu W, Liang W, Huang Y, Liu M, Yang H, Ren B, Yang T. Emission of VOCs from service stations in Beijing: Species characteristics and pollutants co-control based on SOA and O 3. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 336:117614. [PMID: 36933513 DOI: 10.1016/j.jenvman.2023.117614] [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: 11/13/2022] [Revised: 02/20/2023] [Accepted: 02/25/2023] [Indexed: 06/18/2023]
Abstract
Currently, air pollution is primarily characterized by PM2.5 and O3. Therefore, the co-control of PM2.5 and O3 has become an important task of atmosphere pollution prevention and control in China. However, few studies have been conducted on the emissions from vapor recovery and processes, which is an important source of VOCs. This paper analyzed the VOC emissions of three vapor process technologies in service stations and first proposed key pollutants for priority control based on the coordinated reactivity of O3 and SOA. The concentration of VOCs emitted from the vapor processor was 3.14-9.95 g m-3, compared to 631.2-717.8 g m-3 for uncontrolled vapor. Alkanes, alkenes, and halocarbons accounted for a high proportion of the vapor both before and after control. Among the emissions, i-pentane, n-butane, and i-butane were the most abundant species. Then, the species of OFP and SOAP were calculated through the maximum incremental reactivity (MIR) and fractional aerosol coefficient (FAC). The average source reactivity (SR) value of the VOC emissions from three service stations was 1.9 g g-1, while the OFP ranged from 8.2 to 13.9 g m-3 and SOAP ranged from 0.18 to 0.36 g m-3. By considering the coordinated chemical reactivity of O3 and SOA, a comprehensive control index (CCI) was proposed for the control of key pollutant species that have multiplier effects on environment. For adsorption, trans-2-butene and p-xylene were the key co-control pollutants, while toluene and trans-2-butene were the most important for membrane and condensation + membrane control. A 50% emission reduction of the top two key species that emission account for 4.3% averagely will reduce O3 by 18.4% and SOA by 17.9%.
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Affiliation(s)
- Wei Hu
- Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing, 100124, China; National Engineering Research Center of Urban Environmental Pollution Control, Beijing Key Laboratory of Urban Atmospheric Volatile Organic Compounds Control Technology and Applications, Beijing Municipal Research Institute of Eco-Environmental Protection, Beijing, 100037, China
| | - Wenjun Liang
- Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing, 100124, China.
| | - Yuhu Huang
- National Engineering Research Center of Urban Environmental Pollution Control, Beijing Key Laboratory of Urban Atmospheric Volatile Organic Compounds Control Technology and Applications, Beijing Municipal Research Institute of Eco-Environmental Protection, Beijing, 100037, China.
| | - Mingyu Liu
- Beijing Vehicle Emissions Management Center, Beijing, 100176, China
| | - Hongling Yang
- National Engineering Research Center of Urban Environmental Pollution Control, Beijing Key Laboratory of Urban Atmospheric Volatile Organic Compounds Control Technology and Applications, Beijing Municipal Research Institute of Eco-Environmental Protection, Beijing, 100037, China
| | - Biqi Ren
- National Engineering Research Center of Urban Environmental Pollution Control, Beijing Key Laboratory of Urban Atmospheric Volatile Organic Compounds Control Technology and Applications, Beijing Municipal Research Institute of Eco-Environmental Protection, Beijing, 100037, China
| | - Tianyi Yang
- National Engineering Research Center of Urban Environmental Pollution Control, Beijing Key Laboratory of Urban Atmospheric Volatile Organic Compounds Control Technology and Applications, Beijing Municipal Research Institute of Eco-Environmental Protection, Beijing, 100037, China
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13
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Jiang C, Pei C, Cheng C, Shen H, Zhang Q, Lian X, Xiong X, Gao W, Liu M, Wang Z, Huang B, Tang M, Yang F, Zhou Z, Li M. Emission factors and source profiles of volatile organic compounds from typical industrial sources in Guangzhou, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 869:161758. [PMID: 36702262 DOI: 10.1016/j.scitotenv.2023.161758] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 01/16/2023] [Accepted: 01/17/2023] [Indexed: 06/18/2023]
Abstract
Volatile organic compounds (VOCs) are important precursors of ozone (O3) and fine particulate matter (PM2.5). An accurate depiction of the emission characteristics of VOCs is the key to formulating VOC control strategies. In this study, the VOC emission factors and source profiles in five industrial sectors were developed using large-scale field measurements conducted in Guangzhou, China (100 samples for the emission factors and 434 samples for the source profile measurements). The emission factors based on the actual measurement method and the material balance method were 1.6-152.4 kg of VOCs per ton of raw materials (kg/t) and 3.1-242.2 kg/t, respectively. The similarities between the emission factors obtained using these two methods were examined, which showed a coefficient of divergence (CD) of 0.34-0.72. Among the 33 subdivided VOC source profiles developed in this study, sources including light guide plate (LGP), photoresist mask, and plastic products were the first time developed in China. Due to regional diversities in terms of production technologies, materials, and products, the emission characteristics of the VOCs varied, even in the same sector, thereby demonstrating the importance of developing localized source profiles of VOCs. The ozone formation potential (OFP) of the shipbuilding and repair sector from fugitive emissions was the highest value among all the industrial sectors. Controlling the emissions of aromatics and OVOCs was critical to reducing the O3 growth momentum in industrial sectors. In addition, 1,2-dibromoethane showed high carcinogenic risk potentials (CRPs) during most of the industrial sectors and should be prioritized for controlling.
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Affiliation(s)
- Chunyan Jiang
- Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for On-line Source Apportionment System of Air Pollution, Jinan University, Guangzhou, PR China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, PR China
| | - Chenglei Pei
- Guangzhou Sub-branch of Guangdong Ecological and Environmental Monitoring Center, Guangzhou 510060, PR China
| | - Chunlei Cheng
- Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for On-line Source Apportionment System of Air Pollution, Jinan University, Guangzhou, PR China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, PR China
| | - Huizhong Shen
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, PR China; Guangdong Provincial Observation and Research Station for Coastal Atmosphere and Climate of the Greater Bay Area, Southern University of Science and Technology, Shenzhen 518055, PR China
| | - Qianhua Zhang
- Guangzhou Sub-branch of Guangdong Ecological and Environmental Monitoring Center, Guangzhou 510060, PR China
| | - Xiufeng Lian
- Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for On-line Source Apportionment System of Air Pollution, Jinan University, Guangzhou, PR China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, PR China
| | - Xin Xiong
- Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for On-line Source Apportionment System of Air Pollution, Jinan University, Guangzhou, PR China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, PR China
| | - Wei Gao
- Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for On-line Source Apportionment System of Air Pollution, Jinan University, Guangzhou, PR China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, PR China
| | - Ming Liu
- Guangzhou Hexin Instrument Co., Ltd, Guangzhou, PR China
| | - Zixin Wang
- Guangzhou Hexin Instrument Co., Ltd, Guangzhou, PR China
| | - Bo Huang
- Guangzhou Hexin Instrument Co., Ltd, Guangzhou, PR China
| | - Mei Tang
- Guangdong MS Institute of Scientific Instrument Innovation, Guangzhou, PR China
| | - Fan Yang
- Environmental Monitoring Station of Pudong New District, Shanghai, PR China
| | - Zhen Zhou
- Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for On-line Source Apportionment System of Air Pollution, Jinan University, Guangzhou, PR China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, PR China
| | - Mei Li
- Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for On-line Source Apportionment System of Air Pollution, Jinan University, Guangzhou, PR China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, PR China.
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14
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Oliveira K, Guevara M, Jorba O, Querol X, García-Pando CP. A new NMVOC speciated inventory for a reactivity-based approach to support ozone control strategies in Spain. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 867:161449. [PMID: 36623647 PMCID: PMC9938404 DOI: 10.1016/j.scitotenv.2023.161449] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 12/14/2022] [Accepted: 01/03/2023] [Indexed: 06/09/2023]
Abstract
Ozone (O3) pollution is a persistent problem in many regions of Spain, so understanding O3 precursor emissions and trends is essential to design effective control strategies. We estimated the impact of Non-Methane Volatile Organic Compounds (NMVOC) species upon O3 formation potential (OFP) using the maximum incremental reactivity approach. For this, we developed a speciated NMVOC emission inventory for Spain from 2010 to 2019 combining national reported emissions with state-of-the-art speciation profiles, which resulted in a database of emissions for over 900 individual NMVOC species and 153 individual sectors. Additionally, we analysed 2030 emission projections to quantify the expected impact of planned measures on future OFP levels. Overall, the main activities contributing to OFP in Spain are paint manufacturing and applications (20 %), manure management (16 %), and domestic solvent use (6 %). These activities contribute unevenly across regions. The more urbanised areas report a larger contribution from the solvent sector (64 % in Madrid), while in rural areas, manure management and agricultural waste burning gain importance (24 % in Extremadura), indicating that local control measures should be implemented. The top 10 NMVOC species contributing to OFP are ethanol, ethene, xylenes, propene, toluene, formaldehyde, 1,3-butadiene, styrene, n-butane, and cyclopentane, which together are responsible for 54 % of the total OFP. Our trend analysis indicates a reduction of NMVOC emissions and OFP of -5 % and -10 % between 2010 and 2019, respectively. The larger decrease in OFP is driven by a bigger reduction in xylenes (-29 %) and toluene (-28 %) from paint application industries and the road transport sector. By 2030 a significant increase (+37 %) in the OFP from the public electricity sector is expected due to the planned increase in biomass use for power generation. Our results indicate that policies should focus on paint reformulation, limiting aerosol products, and implementing NMVOC control devices in future biomass power plants.
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Affiliation(s)
- K Oliveira
- Barcelona Supercomputing Center, Barcelona, Spain.
| | - M Guevara
- Barcelona Supercomputing Center, Barcelona, Spain
| | - O Jorba
- Barcelona Supercomputing Center, Barcelona, Spain
| | - X Querol
- Institute of Environmental Assessment and Water Research (IDAEA), Spanish Research Council (CSIC), Barcelona, Spain
| | - C Pérez García-Pando
- Barcelona Supercomputing Center, Barcelona, Spain; ICREA, Catalan Institution for Research and Advanced Studies, Barcelona 08010, Spain
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15
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Li L, Zhang D, Hu W, Yang Y, Zhang S, Yuan R, Lv P, Zhang W, Zhang Y, Zhang Y. Improving VOC control strategies in industrial parks based on emission behavior, environmental effects, and health risks: A case study through atmospheric measurement and emission inventory. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 865:161235. [PMID: 36586688 DOI: 10.1016/j.scitotenv.2022.161235] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 12/21/2022] [Accepted: 12/23/2022] [Indexed: 06/17/2023]
Abstract
Industrial parks have a very important impact on regional economic development, but the extremely complex and relatively concentrated volatile organic compound (VOC) emissions from industrial parks also result in it being difficult to control VOCs. In this study, we took a large integrated industrial park in the upper reaches of the Yangtze River as an example, conducted a 1-year monitoring campaign of ambient air VOCs, and established a speciated VOC emission inventory based on the measured chemical profiles of the key industries. The comprehensive control index (CCI) of 125 VOCs was evaluated using the entropy weighting method based on comprehensive consideration of three aspects, namely, emission behavior, environmental effects, and health risks of VOCs, to identify priority VOC species and their key sources for VOC control in industrial parks. The total estimated VOC emissions in the industrial park in 2019 were 6446.96 t. Steel production, sewage treatment, natural gas chemical industry, pharmaceuticals, and industrial boilers were the main sources of VOC emissions. In terms of VOC components, halocarbons, aromatics, and OVOCs were the largest groups of VOCs emitted from the industrial park, accounting for 73.75 % of the total VOC emissions. Using the entropy weighting method, we evaluated the index weights of five parameters: emissions, ozone formation potential, secondary organic aerosol formation potential, hazard quotient, and lifetime cancer risk. Based on the CCI, five control levels for VOC species were further established. The VOC species in Level I and Level II, which contain species such as naphthalene, 2-chlorotoluene, benzene, acrolein, and chloroform, should be considered as extremely important priority control species. These results serve as a reference for the development of precise control strategies for VOCs in industrial parks.
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Affiliation(s)
- Ling Li
- Key Laboratory for Urban Atmospheric Environment Integrated Observation & Pollution Prevention and Control of Chongqing, Chongqing Research Academy of Eco-Environmental Sciences, Chongqing 401147, China; Southwest Branch of Chinese Research Academy of Environmental Sciences, Chongqing 401147, China
| | - Dan Zhang
- Key Laboratory for Urban Atmospheric Environment Integrated Observation & Pollution Prevention and Control of Chongqing, Chongqing Research Academy of Eco-Environmental Sciences, Chongqing 401147, China; Southwest Branch of Chinese Research Academy of Environmental Sciences, Chongqing 401147, China; School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 401331, China.
| | - Wei Hu
- Key Laboratory for Urban Atmospheric Environment Integrated Observation & Pollution Prevention and Control of Chongqing, Chongqing Research Academy of Eco-Environmental Sciences, Chongqing 401147, China; Southwest Branch of Chinese Research Academy of Environmental Sciences, Chongqing 401147, China
| | - Yi Yang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Sidi Zhang
- Guangdong Sino-co-flourish Environmental Protection Technology Co, Ltd, Guangdong 510200·China
| | - Rui Yuan
- Key Laboratory for Urban Atmospheric Environment Integrated Observation & Pollution Prevention and Control of Chongqing, Chongqing Research Academy of Eco-Environmental Sciences, Chongqing 401147, China; Southwest Branch of Chinese Research Academy of Environmental Sciences, Chongqing 401147, China
| | - Pingjiang Lv
- Key Laboratory for Urban Atmospheric Environment Integrated Observation & Pollution Prevention and Control of Chongqing, Chongqing Research Academy of Eco-Environmental Sciences, Chongqing 401147, China; Southwest Branch of Chinese Research Academy of Environmental Sciences, Chongqing 401147, China
| | - Weidong Zhang
- Key Laboratory for Urban Atmospheric Environment Integrated Observation & Pollution Prevention and Control of Chongqing, Chongqing Research Academy of Eco-Environmental Sciences, Chongqing 401147, China; Southwest Branch of Chinese Research Academy of Environmental Sciences, Chongqing 401147, China
| | - Yong Zhang
- Key Laboratory for Urban Atmospheric Environment Integrated Observation & Pollution Prevention and Control of Chongqing, Chongqing Research Academy of Eco-Environmental Sciences, Chongqing 401147, China; Southwest Branch of Chinese Research Academy of Environmental Sciences, Chongqing 401147, China
| | - Yunhuai Zhang
- School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 401331, China
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16
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Chen B, Wang Y, Huang J, Zhao L, Chen R, Song Z, Hu J. Estimation of near-surface ozone concentration and analysis of main weather situation in China based on machine learning model and Himawari-8 TOAR data. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 864:160928. [PMID: 36539084 DOI: 10.1016/j.scitotenv.2022.160928] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 11/21/2022] [Accepted: 12/10/2022] [Indexed: 06/17/2023]
Abstract
Ozone (O3) is an important greenhouse gas in the atmosphere. Stratospheric ozone protects human beings, but high near-surface ozone concentrations threaten environment and human health. Owing to the uneven distribution of ground-monitoring stations and the low time resolution of polar orbiting satellites, it is difficult to accurately evaluate the refinement and synergistic pollution of near-surface ozone in China. Besides, atmospheric circulation patterns also affect ozone concentrations greatly. In this study, a new generation of geostationary satellite is used to estimate the hourly near-surface ozone concentration with a spatial resolution of 0.05°. First, the Pearson correlation coefficient and maximum information coefficient were used to study the correlation between the top of atmospheric radiation (TOAR) of Himawari-8 satellite and O3 concentration; seven TOAR channels were selected. Second, based on an interpretable deep learning model, the hourly ozone concentration in China from September 2015 to August 2021 was obtained using the TOAR-O3 model. Finally, the self-organizing map method was used to determine six major summer weather circulation patterns in China. The results showed that (1) the near-surface O3 concentration can be accurately estimated; the R2 (RMSE: μg/m3) values of the daily, monthly, and annual tenfold cross validation results were 0.91 (12.74), 0.97 (5.64), and 0.98 (1.75), respectively. The feature importance of the model showed that the temperature, TOAR, and boundary layer height contributed 38 %, 22 %, and 13 %, respectively. (2) The O3 concentration showed obvious spatiotemporal difference and gradually increased from 10:00 to 15:00 (Beijing time) every day. In most areas of China, O3 concentration had increased significantly. (3) The O3 concentration in northern China was the highest under the circulation pattern of the Meiyu front over the Yangtze River Delta, while in southern China, it was the highest under the circulation pattern of the northeast cold vortex controlling most of China.
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Affiliation(s)
- Bin Chen
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China; Collaborative Innovation Center for Western Ecological Safety, Lanzhou 730000, China.
| | - Yixuan Wang
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China; Collaborative Innovation Center for Western Ecological Safety, Lanzhou 730000, China
| | - Jianping Huang
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China; Collaborative Innovation Center for Western Ecological Safety, Lanzhou 730000, China
| | - Lin Zhao
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China; Collaborative Innovation Center for Western Ecological Safety, Lanzhou 730000, China
| | - Ruming Chen
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China; Collaborative Innovation Center for Western Ecological Safety, Lanzhou 730000, China
| | - Zhihao Song
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China; Collaborative Innovation Center for Western Ecological Safety, Lanzhou 730000, China
| | - Jiashun Hu
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China; Collaborative Innovation Center for Western Ecological Safety, Lanzhou 730000, China
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17
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Wang Z, Tian X, Li J, Wang F, Liang W, Zhao H, Huang B, Wang Z, Feng Y, Shi G. Quantitative evidence from VOCs source apportionment reveals O 3 control strategies in northern and southern China. ENVIRONMENT INTERNATIONAL 2023; 172:107786. [PMID: 36738582 DOI: 10.1016/j.envint.2023.107786] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 01/24/2023] [Accepted: 01/26/2023] [Indexed: 06/18/2023]
Abstract
Ground-level ozone (O3) pollution has received widespread attention because its rising trend and adverse ecological impacts. However, the extremely strong photochemical reactions of its precursor volatile organic compounds (VOCs) increase the difficulty of reducing VOCs emissions to alleviate O3. Here, we carried out a one-year comprehensive observation in two representative cities, Tianjin (TJ, Northern China) and Guangzhou (GZ, Southern China). By revealing the concentration characteristics of three different types of VOCs, i.e., initial VOCs without photochemical reaction (In-VOCs), consumed VOCs (C-VOCs), and measured VOCs after the reaction (M-VOCs), we elucidated the important role of C-VOCs in the formation of O3. Although the overall trends were similar in both cities, the average concentration level of VOCs in GZ was 8.2 ppbv higher than that in TJ, and the photochemical loss of VOCs was greater by 2.2 ppbv. In addition, various drivers affecting O3 generation from C-VOCs were specifically explored, and it was found that most alkenes of TJ were key substances for rapid O3 formation compared to aromatics of GZ. Meanwhile, favorable meteorological conditions such as high temperature (T > 31 °C in TJ, and T > 33 °C in GZ), low relative humidity (56% in TJ and 45% in GZ), and stable atmospheric environment (proper pressure and gentle wind speed) also contribute to the generation of O3. More importantly, we combined chemical kinetics and receptor model to quantify the three-type VOCs source contributions and assess the potential impact of C-VOCs sources on O3 production, thus proposing environmental abatement technologies corresponding to the three types of VOCs. The differences in the comparison results of the three-type VOCs highlight the need to reduce O3 pollution from C-VOCs sources, which provides insights for future clean air policies development.
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Affiliation(s)
- Zhenyu Wang
- 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 (CLAER), College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Xiao Tian
- 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 (CLAER), College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Jie Li
- 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 (CLAER), College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Feng Wang
- 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 (CLAER), College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Weiqing Liang
- 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 (CLAER), College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Huan Zhao
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER), College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Bo Huang
- Guangzhou Hexin Instrument Co., Ltd, Guangzhou 510530, China
| | - Zaihua Wang
- Institute of Resources Utilization and Rare Earth Development, Guangdong Academy of Sciences, Guangzhou 510650, 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 (CLAER), College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Guoliang Shi
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER), College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China.
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18
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Sun C, Wang Z, Yang Y, Wang M, Jing X, Li G, Yan J, Zhao L, Nie L, Wang Y, Zhong Y, Liu Y. Characteristics, secondary transformation and odor activity evaluation of VOCs emitted from municipal solid waste incineration power plant. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 326:116703. [PMID: 36399882 DOI: 10.1016/j.jenvman.2022.116703] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 10/26/2022] [Accepted: 11/01/2022] [Indexed: 06/16/2023]
Abstract
Volatile organic compounds (VOCs) emitted from municipal solid waste incineration power plant (MSWIPP) plays a significant role in the formation of O3 and PM2.5 and odor pollution. Field test was performed on four MSWIPPs in an area of the North China Plain. Nonmethane hydrocarbons (NMHCs) and 102 VOCs were identified and quantified. Ozone formation potential (OFP), secondary organic aerosol formation potential (SOAFP), and odor activity of the detected VOCs were evaluated. Results showed that the average concentration of NMHCs and VOCs were 1648.6 ± 1290.4 μg/m3 and 635.3 ± 588.8 μg/m3, respectively. Aromatics (62.1%), O-VOCs (16.0%), and halo hydrocarbons (10.0%) were the main VOCs groups in the MSWIPP exhaust gas. VOCs emission factor of MSWIPP was 2.43 × 103 ± 2.27 × 103 ng/g-waste. The OFP and SOAFP of MSWIPP were 960.18 ± 2158.17 μg/m3 and 1.57 ± 3.38 μg/m3, respectively. Acrolein as the dominant VOC species was the major odor contributor with a percentage of odor contribution of 65.9%. Benzene and 1,2,4-trimethylbenzene as the dominant VOC species were the main contributors of O3 formation potentials, in which 1,2,4-trimethylbenzene was also the main contributors of SOA formation potential.
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Affiliation(s)
- Chengyi Sun
- National Engineering Research Center of Urban Environmental Pollution Control, Beijing Key Laboratory of Urban Atmospheric Volatile Organic Compounds Pollution Control and Application, Beijing Municipal Research Institute of Eco-Environmental Protection, Beijing 100037, PR China
| | - Zhiping Wang
- National Engineering Research Center of Urban Environmental Pollution Control, Beijing Key Laboratory of Urban Atmospheric Volatile Organic Compounds Pollution Control and Application, Beijing Municipal Research Institute of Eco-Environmental Protection, Beijing 100037, PR China.
| | - Yong Yang
- National Engineering Research Center of Urban Environmental Pollution Control, Beijing Key Laboratory of Urban Atmospheric Volatile Organic Compounds Pollution Control and Application, Beijing Municipal Research Institute of Eco-Environmental Protection, Beijing 100037, PR China
| | - Minyan Wang
- National Engineering Research Center of Urban Environmental Pollution Control, Beijing Key Laboratory of Urban Atmospheric Volatile Organic Compounds Pollution Control and Application, Beijing Municipal Research Institute of Eco-Environmental Protection, Beijing 100037, PR China
| | - Xianglong Jing
- National Engineering Research Center of Urban Environmental Pollution Control, Beijing Key Laboratory of Urban Atmospheric Volatile Organic Compounds Pollution Control and Application, Beijing Municipal Research Institute of Eco-Environmental Protection, Beijing 100037, PR China
| | - Guoao Li
- National Engineering Research Center of Urban Environmental Pollution Control, Beijing Key Laboratory of Urban Atmospheric Volatile Organic Compounds Pollution Control and Application, Beijing Municipal Research Institute of Eco-Environmental Protection, Beijing 100037, PR China
| | - Jing Yan
- National Engineering Research Center of Urban Environmental Pollution Control, Beijing Key Laboratory of Urban Atmospheric Volatile Organic Compounds Pollution Control and Application, Beijing Municipal Research Institute of Eco-Environmental Protection, Beijing 100037, PR China
| | - Liyun Zhao
- National Engineering Research Center of Urban Environmental Pollution Control, Beijing Key Laboratory of Urban Atmospheric Volatile Organic Compounds Pollution Control and Application, Beijing Municipal Research Institute of Eco-Environmental Protection, Beijing 100037, PR China
| | - Lei Nie
- National Engineering Research Center of Urban Environmental Pollution Control, Beijing Key Laboratory of Urban Atmospheric Volatile Organic Compounds Pollution Control and Application, Beijing Municipal Research Institute of Eco-Environmental Protection, Beijing 100037, PR China
| | - Yiqi Wang
- Department of Environment Systems, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwanoha 5-1-5, Kashiwa, Chiba 277-8563, Japan
| | - Yuxi Zhong
- School of Materials Science&Engineering, Beijing Institute of Technology, Beijing, 100081, China
| | - Yang Liu
- Department of Environmental Science and Management, College of Agricultural and Environmental Sciences, The University of California, Davis, 1 Shields Ave, Davis, CA 95616, USA
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19
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Liang X, Chen L, Liu M, Lu Q, Lu H, Gao B, Zhao W, Sun X, Xu J, Ye D. Carbonyls from commercial, canteen and residential cooking activities as crucial components of VOC emissions in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 846:157317. [PMID: 35842166 DOI: 10.1016/j.scitotenv.2022.157317] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 06/28/2022] [Accepted: 07/08/2022] [Indexed: 06/15/2023]
Abstract
Cooking in China supply the large population with nutrition and, as a commercial activity, it also promotes the economic growth of Chinese society. The specific cooking styles in China can produce complex volatile organic compound (VOC) emissions. The resulting adverse effects on the environment and human health of carbonyls from cooking should not be ignored. We quantitatively evaluated the contribution of carbonyls to common VOCs (carbonyl/VOC ratio) from cooking activities in China through the establishment and comparison of the source profiles, emission factors (EFs), emission amount and ozone formation potential (OFP). It was found that carbonyls are crucial components of VOCs from commercial, canteen and residential cooking activities (COC, CAC and REC, respectively). The carbonyl/VOC ratio from cooking activities in China had EFs, emissions, and a total OFP of 22-65 %, 23-34 %, and 49-104 %, respectively. The high OFP was due to the high OFP emissions intensity (OFPEI) and maximum incremental reactivity (MIR) values of carbonyls. This indicates that to alleviate O3 pollution, OFP-based control measures that target carbonyls might be more efficient than measures that target common VOCs. Priority should be given to emission controlling COC emissions, specifically those from medium- and large-scale catering. Formaldehyde, acetaldehyde, and hexanal were the key carbonyl species that form O3 in the environment. Our findings imply that cooking-emitted carbonyls should not be overlooked in investigations of O3 formation and that these compounds should be subject to strict regulations.
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Affiliation(s)
- Xiaoming Liang
- Guangdong Provincial Key Laboratory of Water and Air Pollution Control, South China Institute of Environmental Science, Ministry of Ecology and Environment, Guangzhou 510655, China; School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - Laiguo Chen
- Guangdong Provincial Key Laboratory of Water and Air Pollution Control, South China Institute of Environmental Science, Ministry of Ecology and Environment, Guangzhou 510655, China.
| | - Ming Liu
- Guangdong Provincial Key Laboratory of Water and Air Pollution Control, South China Institute of Environmental Science, Ministry of Ecology and Environment, Guangzhou 510655, China
| | - Qing Lu
- Guangdong Provincial Key Laboratory of Water and Air Pollution Control, South China Institute of Environmental Science, Ministry of Ecology and Environment, Guangzhou 510655, China
| | - Haitao Lu
- Guangdong Provincial Key Laboratory of Water and Air Pollution Control, South China Institute of Environmental Science, Ministry of Ecology and Environment, Guangzhou 510655, China
| | - Bo Gao
- Guangdong Provincial Key Laboratory of Water and Air Pollution Control, South China Institute of Environmental Science, Ministry of Ecology and Environment, Guangzhou 510655, China
| | - Wei Zhao
- Guangdong Provincial Key Laboratory of Water and Air Pollution Control, South China Institute of Environmental Science, Ministry of Ecology and Environment, Guangzhou 510655, China
| | - Xibo Sun
- Guangdong Provincial Academy of Environmental Science, Guangzhou 510045, China
| | - Jiantie Xu
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - Daiqi Ye
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
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20
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Shi Y, Liu C, Zhang B, Simayi M, Xi Z, Ren J, Xie S. Accurate identification of key VOCs sources contributing to O 3 formation along the Liaodong Bay based on emission inventories and ambient observations. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 844:156998. [PMID: 35787908 DOI: 10.1016/j.scitotenv.2022.156998] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 06/20/2022] [Accepted: 06/23/2022] [Indexed: 06/15/2023]
Abstract
In order to achieve the precise control of the volatile organic compounds (VOCs) species with high ozone (O3) formation contribution from key sources in Panjin and Yingkou, two coastal industrial cities with severe O3 pollution along the Liaodong Bay, northeast China, the ambient concentrations of 99 VOCs species were measured online at urban-petrochemical (XLT), suburban-industrial (PP), and rural (XRD) sites in July 2019, contemporary monthly anthropogenic VOCs emission inventories were developed. The source contribution of ambient VOCs resolved by positive matrix factorization (PMF) model was comparable with emission inventories, and the location of VOCs sources were speculated by potential source contribution function (PSCF). 17.5 Gg anthropogenic VOCs was emitted in Panjin and Yingkou in July 2019 with potential to form 54.7 Gg-O3 estimated by emission inventories. The average VOC mixing ratios of 47.1, 26.7, and 16.5 ppbv was observed at XLT, PP, and XRD sites, respectively. Petroleum industry (22 %), organic chemical industry (21 %), and mobile vehicle emission (19 %) were identified to be the main sources contributing to O3 formation at XLT site by PMF, while it is organic chemical industry (33 %) and solvent utilization (28 %) contributed the most at PP site. Taking the subdivided source contributions of emission inventories and source locations speculated by PSCF into full consideration, organic raw chemicals manufacturing, structural steel coating, petroleum refining process, petroleum products storage and transport, off-shore vessels, and passenger cars were identified as the key anthropogenic sources. High O3-formation contribution sources, organic chemical industry and solvent utilization were located in the industrial parks at the junction of the two cities and the southeast of Panjin, and petroleum industry distributed in the whole Panjin and offshore areas. These results identify the key VOCs species and sources and speculate the potential geographical location of sources for precisely controlling ground-level O3 along the Liaodong Bay.
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Affiliation(s)
- Yuqi Shi
- College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871, PR China
| | - Chang Liu
- Liaoning Ecological and Environmental Service Center, Shenyang, Liaoning 110161, PR China
| | - Baosheng Zhang
- Department of Ecology and Environment of Liaoning Province, Shenyang, Liaoning 110161, PR China
| | - Maimaiti Simayi
- College of Resources and Environments, Xinjiang Agricultural University, Urumqi, Xinjiang 830052, PR China
| | - Ziyan Xi
- College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871, PR China
| | - Jie Ren
- College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871, PR China
| | - Shaodong Xie
- College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871, PR China.
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21
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Ou R, Chang C, Zeng Y, Zhang X, Fu M, Fan L, Chen P, Ye D. Emission characteristics and ozone formation potentials of VOCs from ultra-low-emission waterborne automotive painting. CHEMOSPHERE 2022; 305:135469. [PMID: 35753426 DOI: 10.1016/j.chemosphere.2022.135469] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 06/14/2022] [Accepted: 06/21/2022] [Indexed: 06/15/2023]
Abstract
Automotive painting plants are important emission sources of volatile organic compounds (VOCs) that contribute significantly to ground-level ozone (O₃) pollution in atmosphere. Here, we investigated process-specified emission characteristics of VOCs, without or with advanced adsorption/incineration after-treatments, from an ultra-low-emission (ULE) waterborne painting process in a modernized automotive plant. Overall, more than 80 VOCs species were identified and sorted into seven main categories. In the stack emissions without after-treatments, oxygenated VOCs (alcohols, esters, ketones, ethers, etc.) were found to be the most abundant components (48.8%), followed by aromatic (30.9%), alkanes (16.9%) and alkenes (1.2%). Among the different VOCs species discharged to atmosphere (i.e. after adsorption/incineration after-treatments), aromatics demonstrated a predominant contribution (by 60.6%) to the total O₃ formation potentials (OFPs) despite their relatively lower abundance. Trimethylbenzene was identified to have the highest OFPs, and thus should be controlled with peculiar priority. As compared to traditional organic solvent-based painting process, the ULE waterborne process implemented in the target plant allows to reduce the OFPs from 10.7 mg m-3 to 3 mg m-3 (or by 72%). Additional monitoring by unmanned aerial vehicle (over more than 3000 sampling points in the plant) confirmed that the instantaneous concentrations of fugitive VOCs were well below the regulated limit value during typical working and non-working days. These findings may provide important reference for reduction of VOCs emissions and O3 pollution from automotive painting processes.
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Affiliation(s)
- Runhua Ou
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, National Engineering Laboratory for VOCs Pollution Control Technology and Equipment, School of Environment and Energy, South China University of Technology, 510006, Guangzhou, China; GAC Honda Automobile Co., Ltd, Guangzhou, 510700, PR China
| | - Chun Chang
- GAC Honda Automobile Co., Ltd, Guangzhou, 510700, PR China
| | - Yicong Zeng
- GAC Honda Automobile Co., Ltd, Guangzhou, 510700, PR China
| | - Xiong Zhang
- GAC Honda Automobile Co., Ltd, Guangzhou, 510700, PR China
| | - Mingli Fu
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, National Engineering Laboratory for VOCs Pollution Control Technology and Equipment, School of Environment and Energy, South China University of Technology, 510006, Guangzhou, China
| | - Liya Fan
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, National Engineering Laboratory for VOCs Pollution Control Technology and Equipment, School of Environment and Energy, South China University of Technology, 510006, Guangzhou, China
| | - Peirong Chen
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, National Engineering Laboratory for VOCs Pollution Control Technology and Equipment, School of Environment and Energy, South China University of Technology, 510006, Guangzhou, China.
| | - Daiqi Ye
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, National Engineering Laboratory for VOCs Pollution Control Technology and Equipment, School of Environment and Energy, South China University of Technology, 510006, Guangzhou, China
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22
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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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23
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Volatile Organic Compound Emission Status and Control Perspectives in the Petroleum Refining Industry in China. ATMOSPHERE 2022. [DOI: 10.3390/atmos13081194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Given the increasingly serious ozone pollution, petroleum refining has received more attention, since it is one of the dominant volatile organic compound-emitting industries in China. Volatile organic compound emission source identification, control efficiency classification, emissions calculation, emission factor generation and uncertainty analysis were performed in this study. According to the VOC emission control level, petroleum refining enterprises were divided into three levels, accounting for 10.6%, 54.4% and 35% of the total refining capacity, and 0.6%, 1.2%, and 3% were generated as the emission factor for each designed level, respectively. The total volatile organic compound emissions of the China petroleum refining industry in 2020 are estimated to be 1150 Kt by applying the hierarchical accounting method. Furthermore, the spatial distribution of volatile organic compound emissions was analyzed. The emission intensity of 15 cities is greater than the national average value of 0.12 tons/km2, where the highest level is approximately 2.7 tons/km2. To reduce the volatile organic compound emissions of PR enterprises, the collection efficiency and operation effect of treatment facilities are the most important points based on the analysis of the current situation of volatile organic compound emissions in the PR industry in China.
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He DC, Li FH, Wu M, Luo HL, Qiu LQ, Ma XR, Lu JW, Liu WR, Ying GG. Emission of volatile organic compounds (VOCs) from application of commercial pesticides in China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 314:115069. [PMID: 35447450 DOI: 10.1016/j.jenvman.2022.115069] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 04/07/2022] [Accepted: 04/09/2022] [Indexed: 06/14/2023]
Abstract
Applying pesticides can result in emissions of volatile organic compounds (VOCs), but little is known about VOC emission characteristics and the quantities in particular regions. We investigated the use of pesticides in China based on a large-scale survey of 330 counties in 31 provinces and evaluated the national pesticide VOC emission potentials based on thermogravimetric analysis of 1930 commercial pesticides. The results showed that herbicides were the most extensively used pesticide category in China, accounting for 43.47%; emulsifiable concentrate (EC), suspension concentrate, and wettable powder were the dominant pesticide formulations, with proportions of 26.75%, 17.68%, and 17.31%, respectively. The VOC emission potential coefficient (EP) of the liquid formulations was higher than the solid formulations, and the maximum mean EP was 45.59% for EC and the minimum was 0.76% for WP. Among 437 high-VOC pesticide products used in China, EC accounted for 83.52%, and 16.93% of those contained abamectin. The total VOC emissions derived from commercial pesticides in China were 280 kt (kilotons) in 2018, and 65.35% of the contribution was derived from EC. Shandong, Hunan, and Henan were the three provinces with the highest pesticide VOC emissions (>21 kt/y). The emission rate of VOCs from pesticides was 24.80 t/d in China, which was higher than in San Joaquin Valley, California. These findings suggest that some comprehensive measures (e.g., perfecting pesticide management policy, strict supervision for pesticide production and use, and strengthening pesticide reduction publicity) should be taken to reduce VOC emissions from pesticide applications.
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Affiliation(s)
- De-Chun He
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the PR China, Guangzhou, 510655, China
| | - Fang-Hong Li
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the PR China, Guangzhou, 510655, China
| | - Mian Wu
- College of Resources and Environment, Hunan Agricultural University, Changsha, 410128, China
| | - Hui-Li Luo
- College of Resources and Environment, Hunan Agricultural University, Changsha, 410128, China
| | - Li-Qing Qiu
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the PR China, Guangzhou, 510655, China
| | - Xiao-Rui Ma
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the PR China, Guangzhou, 510655, China
| | - Jia-Wei Lu
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the PR China, Guangzhou, 510655, China
| | - Wang-Rong Liu
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the PR China, Guangzhou, 510655, China.
| | - Guang-Guo Ying
- Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety, School of Environment, South China Normal University, Guangzhou, 510006, China
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Qin G, Gao S, Fu Q, Fu S, Jia H, Zeng Q, Fan L, Ren H, Cheng J. Investigation of VOC characteristics, source analysis, and chemical conversions in a typical petrochemical area through 1-year monitoring and emission inventory. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:51635-51650. [PMID: 35247176 DOI: 10.1007/s11356-022-19145-7] [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: 11/03/2021] [Accepted: 02/06/2022] [Indexed: 06/14/2023]
Abstract
To effectively investigate the characteristics, source analysis, and chemical conversions of volatile organic compounds (VOCs) pollution in a typical petrochemical area, 81 VOC species from nine sampling sites were collected from 1st January to 31th December 2019 in Jinshan District. Results showed the concentration of VOCs was 51.63 ± 36.05 ppbv, and VOCs were dominated by alkane (40.10%) and alkenes (39.91%). The temporal variations of VOCs showed that the highest average VOC concentration appeared in July, and the lowest concentration of VOCs was in February. The concentration of VOCs was mainly connected with industrial processes and was transported to other areas through the downwind direction. Six PMF-derived sources including petrochemical industry, solvent utilization, vehicle exhaust, fuel evaporation, combustion, and other industry processes, contributing 37.08%, 16.74%, 16.69%, 14.99%, 9.53%, and 4.97%, respectively. Meanwhile, an anthropogenic VOC emission inventory was established by emission factors and the activity statistics for 2019, results indicated that the total emission of VOCs was estimated as 6.22 kt, petrochemical industry was the most important contributor of human-produced VOCs. The LOH concentration was 396.12 ppbv via OH radical loss rate method, and the OFP was 210.44 ppbv based on the MIR factor. Alkenes and aromatics were the important components of O3 formation. This study provides effective information for corresponding governments to establish VOCs contamination control directives.
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Affiliation(s)
- Guimei Qin
- China-UK Low Carbon College, Shanghai Jiao Tong University, 3 Yinlian Road, Shanghai, 201306, China
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Song Gao
- Shanghai Environmental Monitor Center, Shanghai, 200235, China
| | - Qingyan Fu
- Shanghai Environmental Monitor Center, Shanghai, 200235, China
| | - Shuang Fu
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Haohao Jia
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Qingrui Zeng
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Linping Fan
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Huarui Ren
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Jinping Cheng
- China-UK Low Carbon College, Shanghai Jiao Tong University, 3 Yinlian Road, Shanghai, 201306, China.
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
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26
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Dai L, Meng J, Zhao X, Li Q, Shi B, Wu M, Zhang Q, Su G, Hu J, Shu X. High-spatial-resolution VOCs emission from the petrochemical industries and its differential regional effect on soil in typical economic zones of China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 827:154318. [PMID: 35257751 DOI: 10.1016/j.scitotenv.2022.154318] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 02/27/2022] [Accepted: 03/01/2022] [Indexed: 06/14/2023]
Abstract
Volatile organic compounds (VOCs) are toxic to the ecological environment. The emission of VOCs into the atmosphere has already caused attention. However, few studies focus on their regional effects on soil. As a major VOCs source in China, research on the effect of petrochemical industry on the environment is urgent and essential for regional control and industrial layout. This study established national VOCs emission inventory of five petrochemical sub-industries and spatial distribution based on consumption of raw material or products' yield and 28,888 factories. The VOCs emissions showed continuously increasing trend from 2008 to 2019, with cumulative 1.83 × 107 t, wherein these from rapid economic development zones accounted for 66.10%. The detected concentrations of VOCs in various industries combined with meteorological parameters were used in Resistance Model to quantify regional dry deposition. Higher concentrations of 111 VOC species were 238.27, 260.01, 207.54 μg·m-3 from large-scale enterprises for crude oil and natural gas extraction, oil processing, synthetic rubber and resin, leading to higher deposition ratios of 0.81%-0.94%, 0.70%-0.81%, 1.50%-1.75% in rapid economic development zones, respectively. The regional climate condition played a dominant role. Annual VOCs dry deposition amount in rapid economic development zones was calculated to be totally 6.38 × 103 t using obtained deposition ratios and emissions, with 3.21 × 103 t in Bohai Economic Rim (BER), 2.42 × 103 t in Yangtze River Economic Belt (YREB), 748.43 t in Pearl River Delta (PRD). Generally, crude oil and natural gas extraction, oil processing, synthetic rubber and resin contributed 13.09%, 57.77% and 29.14%, respectively. The proportion of synthetic rubber and resin for dry deposition increased by 5.04%-18.81% compared with VOCs emissions in BER and YREB. In contrast, it declined from 45.52% for emission to 29.86% for deposition due to absolute dominance of small-scale enterprises in PRD. Overall, VOCs control from oil processing was significant, especially in BER.
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Affiliation(s)
- Lingwen Dai
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; School of Chemical & Environmental Engineering, China University of Mining and Technology, Beijing 100083, China
| | - Jing Meng
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, 100083, Beijing 100049, China
| | - Xu Zhao
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, 100083, Beijing 100049, China
| | - Qianqian Li
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, 100083, Beijing 100049, China
| | - Bin Shi
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, 100083, Beijing 100049, China
| | - Mingge Wu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, 100083, Beijing 100049, China
| | - Qifan Zhang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, 100083, Beijing 100049, China
| | - Guijin Su
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, 100083, Beijing 100049, China.
| | - Jian Hu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, 100083, Beijing 100049, China
| | - Xinqian Shu
- School of Chemical & Environmental Engineering, China University of Mining and Technology, Beijing 100083, China
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27
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Simayi M, Shi Y, Xi Z, Ren J, Hini G, Xie S. Emission trends of industrial VOCs in China since the clean air action and future reduction perspectives. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 826:153994. [PMID: 35227718 DOI: 10.1016/j.scitotenv.2022.153994] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 02/14/2022] [Accepted: 02/15/2022] [Indexed: 06/14/2023]
Abstract
Spatiotemporal change patterns of China's industrial VOCs emissions were explored in response to integrated air quality control policies during 2013-2019, and future emissions predicted under the two different scenarios targeting 2030. China's industrial VOCs emissions were decreased to 15.72 Tg in 2019, of which chemical industry, industrial painting, petroleum industry, coal-coking industry, and other industries respectively accounted for 31.0%, 23.9%, 15.6%, and 13.0%, 16.3%, after peaking at 16.40 Tg in 2016. VOC emissions from the petroleum industry and industrial painting showed a continuous increase, with emissions increasing by 0.46 Tg and 0.71 Tg. VOC emissions from the chemical industries increased by 0.91 Tg during 2013-2016 and decreased by 0.72 Tg during 2016-2019. Industrial VOCs emissions in the Beijing-Tianjin-Hebei, Shandong Peninsula, and Central Plain in 2019 respectively reduced by 12.0%, 3.2%, and 8.7% compared to 2013 due to stringent control measures and closure/relocation of highly polluting enterprises. By contrast, industrial VOCs emissions in the West Coast of the Strait and the Central Guizhou increased by 38.1% and 31.8% during 2013-2019. In summary, China's industrial high VOCs emission areas were shifting from key areas to its surrounding areas, resulting in little change in total VOCs emissions. The coal-coking industry, architectural painting, petroleum refining, and pharmaceutical industry will have the most considerable reduction responsibility to reduce VOCs emissions in the future. Guangdong, Jiangsu, Shandong, and Zhejiang will share the highest reduction responsibility, accounting for approximately 40% of national emission reduction.
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Affiliation(s)
- Maimaiti Simayi
- College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871, PR China; College of Resources and Environment, Xinjiang Agricultural University, Urumqi 830052, PR China
| | - Yuqi Shi
- College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871, PR China
| | - Ziyan Xi
- College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871, PR China
| | - Jie Ren
- College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871, PR China
| | - Gulbanu Hini
- College of Resources and Environment, Xinjiang Agricultural University, Urumqi 830052, PR China
| | - Shaodong Xie
- College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871, PR China.
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28
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Wang Q, Bian J, Ruan D, Zhang C. Adsorption of benzene on soils under different influential factors: an experimental investigation, importance order and prediction using artificial neural network. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 306:114467. [PMID: 35026712 DOI: 10.1016/j.jenvman.2022.114467] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 01/04/2022] [Accepted: 01/05/2022] [Indexed: 06/14/2023]
Abstract
The adsorption of benzene on soils is specifically associated with its migration and transformation. Although previous studies have proved that the adsorption of benzene is affected by various factors, studies simultaneously considering the effects of multiple factors are rare. This study aimed to identify the qualitative and quantitative relationships between multiple influential factors and the adsorption capacity of benzene (BC). Batch adsorption experiments considering different influential factors, including initial concentration (IC), pH, temperature (T), ion strength (IS) and organic matter content (OMC), were conducted in three kinds of soils collected in a chemical industry park. The correlation analysis between different influential factors and BC was carried out based on the experimental data. The artificial neural network (ANN) was applied to predict BC. The results showed that BC increased with the increase of T. As the pH increased, BCs on silty loam and loam increased, while that on sandy loam decreased. Besides, BCs on silty loam and loam raised with increasing OMC, while that on sandy loam remained unchanged. BCs on all three kinds of soils attained their peaks when IS was small and then become stable with an increase in IS. The sequence of correlation between BC and influential factors is listed as IC > OMC > T > IS > pH for silty loam, OMC > IC > T > IS > pH for loam and IC > T > IS > pH > OMC for sandy loam. ANN analysis showed satisfactory accuracy in predicting BC under different influential factors. These results help us understand the important factors affecting benzene adsorption and provide a tool to get the adsorption information easily in complex site conditions.
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Affiliation(s)
- Qian Wang
- Key Laboratory of Groundwater Resources and Environment (Ministry of Education), Jilin University, Changchun, Jilin 130021, China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, Jilin 130021, China; College of New Energy and Environment, Jilin University, Changchun, Jilin 130021, China
| | - Jianmin Bian
- Key Laboratory of Groundwater Resources and Environment (Ministry of Education), Jilin University, Changchun, Jilin 130021, China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, Jilin 130021, China; College of New Energy and Environment, Jilin University, Changchun, Jilin 130021, China.
| | - Dongmei Ruan
- Key Laboratory of Groundwater Resources and Environment (Ministry of Education), Jilin University, Changchun, Jilin 130021, China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, Jilin 130021, China; College of New Energy and Environment, Jilin University, Changchun, Jilin 130021, China
| | - Chunpeng Zhang
- Key Laboratory of Groundwater Resources and Environment (Ministry of Education), Jilin University, Changchun, Jilin 130021, China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, Jilin 130021, China; College of New Energy and Environment, Jilin University, Changchun, Jilin 130021, China; State and Local Joint Engineering Laboratory for Petrochemical Pollution Site Control and Remediation, Jilin University, Changchun, Jilin 130021, China
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29
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Sources and Seasonal Variance of Ambient Volatile Organic Compounds in the Typical Industrial City of Changzhi, Northern China. ATMOSPHERE 2022. [DOI: 10.3390/atmos13030393] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Volatile organic compounds (VOCs) emitted from industrial processes, which are major emission sources of air pollutants, could cause significant impacts on air quality. However, studies on the comprehensive analysis from sources contributing to the health risk perspective regarding ambient VOCs in industrial cities are limited. In this study, VOC samples were collected from 15 April 2018 to 19 October 2018 in Changzhi, a typical industrial city in northern China, and a total of 57 VOCs were measured for analysis. The average VOC concentrations were 54.4 µg·m−3, with the highest concentrations in autumn (58.4 µg·m−3). Ambient VOCs in spring, summer and autumn were all dominated by alkanes (66.8%), with contributions of 70.3%, 66.3% and 63.8%, respectively. The top five concentrations of total VOCs were isopentane (19.0%), ethane (9.5%), n-butane (8.1%), benzene (7.9%) and propane (5.2%), indicating that vehicle exhaust and coal combustion are the main sources of VOCs. Source apportionment by principal component analysis showed that vehicle exhaust (27.5%) and coal combustion (23.5%) were the main sources of VOCs in Changzhi, followed by industrial production (17.4%), solvent evaporation (13.5%), liquefied petroleum gas/natural gas leaking (9.5%), and biogenic emissions (8.7%). Sources of coal combustion and vehicle exhaust contributed more VOCs than industrial production. The carcinogenic risks of benzene (3.4 × 10−5) and ethylbenzene (2.2 × 10−6) were higher than the limit levels (1 × 10−6). Coal combustion contributed most (25.3%) to the carcinogenic risks because of its high VOC emissions. In an industrial city such as Changzhi, vehicle exhaust and coal combustion have become major sources of ambient air VOCs owing to the increasingly stringent industrial standards. Therefore, VOCs from vehicle exhaust and coal combustion also need to take into account mitigation measures for VOCs from the perspective of source contribution to health risk.
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30
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A highly efficient multi-stage dielectric barrier discharge (DBD)-catalytic system for simultaneous toluene degradation and O3 elimination. J IND ENG CHEM 2022. [DOI: 10.1016/j.jiec.2021.09.040] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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31
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Li J, Deng S, Li G, Lu Z, Song H, Gao J, Sun Z, Xu K. VOCs characteristics and their ozone and SOA formation potentials in autumn and winter at Weinan, China. ENVIRONMENTAL RESEARCH 2022; 203:111821. [PMID: 34370988 DOI: 10.1016/j.envres.2021.111821] [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: 02/14/2021] [Revised: 07/29/2021] [Accepted: 07/29/2021] [Indexed: 06/13/2023]
Abstract
Frequent ozone and fine particulate matter (PM2.5) pollution have been occurring in the Guanzhong Plain in China. To effectively control the tropospheric ozone and PM2.5 pollution, this study performed measurements of 102 VOCs species from Sep.19-25 (autumn) and Nov.27-Dec. 8, 2017 (winter) at Weinan in the central Guanzhong Plain. The total volatile organic compounds (TVOCs) concentrations were 95.8 ± 30.6 ppbv in autumn and 74.4 ± 37.1 ppbv in winter. Alkanes were the most abundant group in both of autumn and winter, accounting for 33.5% and 39.6% of TVOCs concentrations, respectively. The levels of aromatics and oxygenated VOCs were higher in autumn than in winter, mainly due to changes in industrial activities and combustion strength. Photochemical reactivities and ozone formation potentials (OFPs) of VOCs were calculated by applying the OH radical loss rate (LOH) and maximum incremental reactivity (MIR) method, respectively. Results showed that Alkenes and aromatics were the key VOCs in term ozone formation in Weinan, which together contributed 59.6% ̶ 65.3% to the total LOH and OFP. Secondary organic aerosol formation potentials (SOAFP) of the measured VOCs were investigated by employing the fractional aerosol coefficient (FAC) method. Aromatics contributed 94.9% and 96.2% to the total SOAFP in autumn and winter, respectively. The regional transport effects on VOCs and ozone formation were investigated by using trajectory analysis and potential source contribution function (PSCF). Results showed that regional anthropogenic sources from industrial cities (Tongchuan, Xi'an city) and biogenic sources from Qinling Mountain influenced VOCs levels and OFP at Weinan. Future studies need to emphasize on meteorological factors and sources that impact on VOCs concentrations in Weinan.
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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.
| | - Guanghua 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
| | - Zhenzhen Lu
- 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
| | - Hui Song
- School of Water and Environment, Chang'an University, Xi'an, 710064, China; School of Architectural Engineering, Chang'an University, Xi'an, 710064, China
| | - Jian Gao
- Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Zhigang Sun
- 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
| | - Ke Xu
- 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
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32
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Ma Y, Fu S, Gao S, Zhang S, Che X, Wang Q, Jiao Z. Update on volatile organic compound (VOC) source profiles and ozone formation potential in synthetic resins industry in China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 291:118253. [PMID: 34597734 DOI: 10.1016/j.envpol.2021.118253] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 08/12/2021] [Accepted: 09/27/2021] [Indexed: 06/13/2023]
Abstract
The synthetic resin industry plays an important role in Volatile organic compounds (VOCs) emissions from industrial sources. However, owing to various products and their different emission characteristics, it is extremely difficult to study the source profiles of synthetic resins. In this study, the product-based pollution characteristics of VOCs from eight synthetic resin enterprises were investigated in Shanghai, China. Up to 133 VOCs were identified, including 106 based on the Photochemical Assessment Monitoring Stations (PAMS) and the Toxic Organics (TO-15) methods, and the remaining 27 were identified based on the new mass spectrometry analysis method. Aromatics (39.7%) and oxygenated VOCs (29.9%) accounted for a relatively high proportion in the synthetic resin industry. The product-based source profiles of each process unit are compiled. Generally, 1,4-dioxane, methyl isobutyl ketone, toluene, benzene, styrene, propane, and dichloromethane are the most abundant species in synthetic resin. Furthermore, the product-based ozone formation potentials (OFPs) and sources reactivity (SR) were calculated, the synthetic resin industry SR range from 0.3 g g-1 to 4.6 g g-1. Results suggest that toluene, benzene, styrene, propylene, ethylene, and oxygenated VOCs (including 1,4-dioxane, methyl isobutyl ketone, and aldehyde) should be preferentially controlled to reduce the OFPs. A three-level classification was established to evaluate the degree of photochemical pollution in different industries. Emission factors were calculated and ranked for eight synthetic resins. A VOC emission inventory of Chinese synthetic resin from 2005 to 2018 was compiled. It is estimated that the Chinese synthetic resin emitted 23.96 Gg of VOCs in 2018. In this study, a product-based VOC source profile and emission inventory of the synthetic resin industry were established for the first time. Finally, combined with product types, processes, and processing equipment, feasible recommendations for reducing VOC emissions in the synthetic resin industry are proposed.
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Affiliation(s)
- Yiran Ma
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai, 200444, China
| | - Shaqi Fu
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai, 200444, China
| | - Song Gao
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai, 200444, China; Shanghai Environmental Monitoring Center, National Environmental Protection Shanghai Dianshan Lake Science Observatory Research Station, Shanghai, 200235, China.
| | - Shuwei Zhang
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai, 200444, China
| | - Xiang Che
- Shanghai Environmental Monitoring Center, National Environmental Protection Shanghai Dianshan Lake Science Observatory Research Station, Shanghai, 200235, China
| | - Qiaoming Wang
- Shanghai Chemical Environmental Monitoring Station, Shanghai, 200042, China
| | - Zheng Jiao
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai, 200444, China
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33
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Zhang L, Zhu X, Wang Z, Zhang J, Liu X, Zhao Y. Improved speciation profiles and estimation methodology for VOCs emissions: A case study in two chemical plants in eastern China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 291:118192. [PMID: 34560575 DOI: 10.1016/j.envpol.2021.118192] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 08/19/2021] [Accepted: 09/15/2021] [Indexed: 05/23/2023]
Abstract
Volatile organic compounds (VOCs) poses a serious health risk through not only their own toxicity but also their role as precursors of ozone and secondary organic aerosols. The chemical industry, as one of the pillar industries in eastern China, is a key source of VOCs emissions. In this study, speciated VOCs emissions were measured in two chemical plants in eastern China. Oxygenated VOCs and aromatics were found to be the dominant species categories in both plants. The ozone formation potential (OFP) and secondary organic aerosol formation potential (SOAFP) of VOCs from dedicated resin production were both higher than general resin production. Three process-based models were used for the estimation of VOCs emissions from the two tested plants as a case study. The comparison between the emission factor model and the model with best available estimation methods (e.g., the measurement-based method, the mass balance method, the empirical formula method, and the correlation equation method) implied possible overestimation of the widely used emission factor model for the chemical industry. The probabilistic model developed in this study incorporated probability distribution of key parameters and proved to be a promising tool for emission inventory development and uncertainty analysis. The overall uncertainties of VOCs emissions based on the model were (-48%, +147%) and (-48%, +139%) for the two tested plants. In this study, the speciation profiles and estimation methodology for VOCs emissions from the chemical industry in China were both improved, which could benefit the accurate evaluation of the impacts of VOCs emissions.
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Affiliation(s)
- Lei Zhang
- School of the Environment and State Key Laboratory of Pollution Control and Resource Reuse, Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu, 210023, China; Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Jiangsu, 210044, China.
| | - Xinzhi Zhu
- School of the Environment and State Key Laboratory of Pollution Control and Resource Reuse, Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu, 210023, China
| | - Zeren Wang
- School of the Environment and State Key Laboratory of Pollution Control and Resource Reuse, Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu, 210023, China
| | - Jie Zhang
- Jiangsu Key Laboratory of Environmental Engineering, Jiangsu Provincial Academy of Environmental Sciences, Nanjing, Jiangsu, 210036, China; Jiangsu Environmental Engineering Technology Co., Ltd, Nanjing, Jiangsu, 210000, China
| | - Xia Liu
- Ocean University of China, College of Chemistry and Chemical Engineering, 238 Songling Road, Qingdao, Shandong, 266100, China
| | - Yu Zhao
- School of the Environment and State Key Laboratory of Pollution Control and Resource Reuse, Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu, 210023, China; Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Jiangsu, 210044, China
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34
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Yan G, Zheng Y, Tang Q, Ning M, Lei Y. Incorporating VOC Emission Control in China's Hazardous Waste Regulatory System. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:15569-15571. [PMID: 34747614 DOI: 10.1021/acs.est.1c03207] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Affiliation(s)
- Gang Yan
- Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, Beijing 100012, People's Republic of China
| | - Yixuan Zheng
- Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, Beijing 100012, People's Republic of China
| | - Qian Tang
- Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, Beijing 100012, People's Republic of China
| | - Miao Ning
- Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, Beijing 100012, People's Republic of China
| | - Yu Lei
- Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, Beijing 100012, People's Republic of China
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35
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Zhu D, Chen Z, Li J, Wu Z, Gao E, Wang W, Yao S. Evaluation of Au/γ-Al 2O 3 nanocatalyst for plasma-catalytic decomposition of toluene. CHEMOSPHERE 2021; 285:131474. [PMID: 34329130 DOI: 10.1016/j.chemosphere.2021.131474] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 07/06/2021] [Accepted: 07/06/2021] [Indexed: 05/26/2023]
Abstract
The emission of toluene into the atmosphere can seriously affect the environmental quality and endanger human health. A dielectric barrier discharge reactor filled with a small amount of Au nanocatalysts was used to decompose toluene in He and O2 gases mixtures at room temperature and atmospheric pressure. Normally, the oxidation of toluene using Au nanocatalysts suffers from low reaction activity and facile catalyst deactivation. Herein, the effects of Au loading, calcination time and calcination temperature were systematically investigated. It was found that 0.1 wt%Au/γ-Al2O3 calcined at 300 °C for 5 h can keep an average size around 6 nm with good dispersion on γ-Al2O3 surface and display the best catalytic performance. Moreover, the influences of energy density, gas flow rate, toluene concentration and O2 concentration on toluene degradation using 0.1 wt%Au/γ-Al2O3 were evaluated. It showed the best catalytic performance of near 100% conversion for toluene degradation under the reaction conditions of the energy density was 20 J/L, the gas flow rate was 300 mL/min, the concentration of toluene was 376 mg/m3 and the oxygen content was 10%. Combining experimental results and theoretical calculations, the values of reaction constant k were 8.6 × 10-5, 3.53 × 10-5 and 3.09 × 10-5 m6/(mol*J), when O2 concentration, power or flow rate changed, respectively. Therefore, O2 concentration has the greatest effect on toluene decomposition compared to other factors in the presence of Au/γ-Al2O3.
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Affiliation(s)
- Dandan Zhu
- School of Environmental and Safety Engineering, Changzhou University, Jiangsu, 213164, China; Advanced Plasma Catalysis Engineering Laboratory for China Petrochemical Industry, Changzhou University, Jiangsu, 213164, China
| | - Zhizong Chen
- School of Environmental Science and Engineering, Zhejiang Gongshang University, Zhejiang, 310018, China; Focused Photonics (Hangzhou) Inc., Zhejiang, 310052, China
| | - Jing Li
- School of Environmental and Safety Engineering, Changzhou University, Jiangsu, 213164, China; Advanced Plasma Catalysis Engineering Laboratory for China Petrochemical Industry, Changzhou University, Jiangsu, 213164, China.
| | - Zuliang Wu
- School of Environmental and Safety Engineering, Changzhou University, Jiangsu, 213164, China; Advanced Plasma Catalysis Engineering Laboratory for China Petrochemical Industry, Changzhou University, Jiangsu, 213164, China; School of Environmental Science and Engineering, Zhejiang Gongshang University, Zhejiang, 310018, China
| | - Erhao Gao
- School of Environmental and Safety Engineering, Changzhou University, Jiangsu, 213164, China; Advanced Plasma Catalysis Engineering Laboratory for China Petrochemical Industry, Changzhou University, Jiangsu, 213164, China
| | - Wei Wang
- School of Environmental and Safety Engineering, Changzhou University, Jiangsu, 213164, China; Advanced Plasma Catalysis Engineering Laboratory for China Petrochemical Industry, Changzhou University, Jiangsu, 213164, China
| | - Shuiliang Yao
- School of Environmental and Safety Engineering, Changzhou University, Jiangsu, 213164, China; Advanced Plasma Catalysis Engineering Laboratory for China Petrochemical Industry, Changzhou University, Jiangsu, 213164, China; School of Environmental Science and Engineering, Zhejiang Gongshang University, Zhejiang, 310018, China.
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36
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Tang Q, Deng W, Chen D, Liu D, Guo L. Comparative studies on the VOC sorption performances over hierarchical and conventional ZSM-5 zeolites. Dalton Trans 2021; 50:16694-16702. [PMID: 34761767 DOI: 10.1039/d1dt02869c] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The sorption behaviors of hexane, toluene and mesitylene as probe volatile organic compounds (VOCs) over hierarchical and conventional zeolite ZSM-5 were investigated by a series of experiments, such as dynamic adsorption, temperature-programmed desorption and cycle adsorption tests. The results showed that hierarchical ZSM-5 exhibited better adsorption capacity for toluene and mesitylene, better diffusion of VOCs and superior cycle adsorption efficiency. As we believe, these findings will offer valuable information for the development of zeolite based adsorbents for VOC elimination or recycling.
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Affiliation(s)
- Qianxi Tang
- School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
| | - Wei Deng
- School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
| | - Donghang Chen
- School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
| | - Dongqi Liu
- School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
| | - Limin Guo
- School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
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37
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Longo V, Forleo A, Ferramosca A, Notari T, Pappalardo S, Siciliano P, Capone S, Montano L. Blood, urine and semen Volatile Organic Compound (VOC) pattern analysis for assessing health environmental impact in highly polluted areas in Italy. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 286:117410. [PMID: 34052646 DOI: 10.1016/j.envpol.2021.117410] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 05/13/2021] [Accepted: 05/15/2021] [Indexed: 05/04/2023]
Abstract
Volatile Organic Compound (VOC) analysis is usually applied in pollution assessment by checking for toxic or harmful volatile compounds in air, water and soil samples. In this study, exogenous VOCs and their derivatives, metabolized by cells, were valued into specific body fluids. In particular, the VOC profiles of blood, urine and human semen samples collected from young men living in two high pollution areas in Italy, i.e. Land of Fires and Valley of Sacco River, were fingerprinted. The analysis is based on Headspace Solid Phase MicroExtraction (HS-SPME) followed by Gas Chromatography-Mass Spectrometric detection (GC-MS). The volatile composition of the three body fluids showed that some VOCs are in common between blood, urine and human semen samples, whereas others are present only in a body fluid. Some compounds, as well as also some chemical classes show a higher affinity for a specific body fluid. Statistical analysis allowed to discriminate the two contaminated areas and identify those compounds which significantly contribute to the two areas classification. Some of these compounds are toxic and found prevalently in Valley of Sacco River samples, correspondingly to sperm analysis results for young men living in this zona worse than those living in Land of Fires.
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Affiliation(s)
- Valentina Longo
- National Research Council of Italy, Institute for Microelectronics and Microsystems (CNR-IMM), Lecce, Italy.
| | - Angiola Forleo
- National Research Council of Italy, Institute for Microelectronics and Microsystems (CNR-IMM), Lecce, Italy
| | - Alessandra Ferramosca
- Department of Environmental and Biological Sciences and Technologies, University of Salento, Lecce, Italy
| | - Tiziana Notari
- Reproductive Medicine Unit of Check Up Polydiagnostic Center, Via A. De Luca 5, Salerno, Italy
| | | | - Pietro Siciliano
- National Research Council of Italy, Institute for Microelectronics and Microsystems (CNR-IMM), Lecce, Italy
| | - Simonetta Capone
- National Research Council of Italy, Institute for Microelectronics and Microsystems (CNR-IMM), Lecce, Italy
| | - Luigi Montano
- Andrology Unit and Service of Lifestyle Medicine in UroAndrology, Local Health Authority (ASL) Salerno, Coordination Unit of the Network for Environmental and Reproductive Health (EcoFoodFertility Project), Italy "Oliveto Citra Hospital", Salerno, Italy; PhD Program in Evolutionary Biology and Ecology,University of Rome Tor Vergata, Rome, Italy
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38
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Ye L, Lu P, Peng Y, Li J, Huang H. Impact of NO x and NH 3 addition on toluene oxidation over MnO x-CeO 2 catalyst. JOURNAL OF HAZARDOUS MATERIALS 2021; 416:125939. [PMID: 34492867 DOI: 10.1016/j.jhazmat.2021.125939] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 04/09/2021] [Accepted: 04/19/2021] [Indexed: 06/13/2023]
Abstract
An increasing number of industries remove toluene from flue gas by the existing NH3-selective catalytic reduction (NH3-SCR) units. A thorough probe into the impact of NOx and NH3 addition on toluene oxidation is imperative but still lacks a unified understanding. In this work, NH3-SCR reactants are found to inhibit the toluene oxidation process over the MnOx-CeO2 catalyst below 200 °C. The competitive adsorption between NH3-SCR reactants and toluene, the NO2 adsorption state, and carbon deposition are emphasized to play important roles in this deactivation. Within the NO2 adsorption states, only the adsorbed NO2 can enhance the toluene oxidation. The formed nitrate species (NO3-) on the surface is inactive. NO2 adsorption is the weakest among the reactants with the smallest adsorption energy of -0.42 eV, restricting its promotion on toluene oxidation. NO and N2O are both demonstrated to be inefficient to oxidize toluene. Meanwhile, MnOx-CeO2 catalyst suffers from serious acetonitrile and benzonitrile poisoning. The amount of nitrile species accounts for ~95% of total carbon deposition, while no simple substance carbon (C) can be generated from CO disproportionation. Special care should be considered towards the formation of environmentally hazardous benzamide in the off-gas from the simultaneous NOx and toluene removal process.
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Affiliation(s)
- Lyumeng Ye
- School of Environmental Science and Engineering, Sun Yat-sen University, 510275 Guangzhou, PR China; The Key Laboratory of Water and Air Pollution Control of Guangdong Province, South China Institute of Environmental Sciences, The Ministry of Ecology and Environment of PRC, 510655 Guangzhou, PR China
| | - Peng Lu
- The Key Laboratory of Water and Air Pollution Control of Guangdong Province, South China Institute of Environmental Sciences, The Ministry of Ecology and Environment of PRC, 510655 Guangzhou, PR China; Guangdong Province Engineering Laboratory for Air Pollution Control, South China Institute of Environmental Sciences, The Ministry of Ecology and Environment of PRC, 510655 Guangzhou, PR China
| | - Yue Peng
- School of Environment, Tsinghua University, 100084 Beijing, PR China.
| | - Junhua Li
- School of Environment, Tsinghua University, 100084 Beijing, PR China
| | - Haibao Huang
- School of Environmental Science and Engineering, Sun Yat-sen University, 510275 Guangzhou, PR China.
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Liu X, Yan F, Hua H, Yuan Z. Identifying hotspots based on high-resolution emission inventory of volatile organic compounds: A case study in China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 288:112419. [PMID: 33827028 DOI: 10.1016/j.jenvman.2021.112419] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 03/03/2021] [Accepted: 03/15/2021] [Indexed: 06/12/2023]
Abstract
The emission of volatile organic compounds (VOCs) makes a substantial contribution in the formation of secondary organic aerosols (SOAs) and ground-level ozone, which could deteriorate air quality and cause damage to human health. To help inform local VOCs management decisions, we compiled a speciated and high spatial resolution anthropogenic VOCs emission inventory for Huai'an City in 2017, using investigated human activity data and the latest emission factors. Furthermore, the ozone formation potential (OFP) was estimated to understand the contributions of different VOC species to ozone formation. The results show that Huai'an City emitted about 36 kt of VOCs in 2017, mainly from industrial processes, e.g. petroleum refining and iron & steel industry, and solvent use, e.g. pesticide use and asphalt paving, accounting for 41% and 32% of the total emissions, respectively. The high emissions were spatially located in the areas where there is an intensive cluster of industrial enterprises, with the top 20 VOCs emitting enterprises contributing to 43% of the city's total. These anthropogenic VOCs emissions, especially m/p-xylene, ethylene, propene, toluene, have the potential to form about 102 kt ozone in the lower atmosphere. Different from the hotspots identified based on physical weights, solvent use became the largest constituent and m/p-xylene was the leading VOC species. By investigating the spatial distribution of anthropogenic VOCs emissions and the OFP, this work highlights the necessity to consider VOC species and different effects they might have on ozone formation in future hotpot identification, which could lay a more scientific basis for local VOCs emission mitigation strategies.
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Affiliation(s)
- Xin Liu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023, China
| | - Foyou Yan
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023, China
| | - Hui Hua
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023, China
| | - Zengwei Yuan
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023, China.
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Liang X, Feng W, Liang D, Xu Y, Qiu X. Hydroxyl/amino and Fe(III) co-grafted graphite carbon nitride for photocatalytic removal of volatile organic compounds. ENVIRONMENTAL RESEARCH 2021; 197:111044. [PMID: 33753076 DOI: 10.1016/j.envres.2021.111044] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Revised: 02/24/2021] [Accepted: 03/15/2021] [Indexed: 06/12/2023]
Abstract
Hydroxyl/amino and Fe(III) co-grafted graphite carbon nitride (CN) is fabricated via alkaline hydrothermal treatment and followed by an impregnation adsorption process. In this unique fabrication, hydroxyl and amino groups enriched on the surface play a vital role in improving the adsorption capacity for volatile organic compounds (VOCs), while the grafted amorphous Fe(III) clusters could dominantly regulate the path of molecular oxygen activation via photo-Fenton reaction, and change the selectivity of intermediate reactive oxygen species (ROS) with the assistant of the rich surficial hydroxyl groups. Meanwhile, both the grafted functional groups and Fe(III) clusters can serve as photogenerated charge acceptors for collaboratively accelerating carriers' separation. Besides, the Fe(III)-mediated interfacial charge transfer effect (IFCT) also could extend visible light absorption and boost carriers' generation. Benefiting from the virtues of the complementary and synergy of the grafted hydroxyl/amino and Fe(III), the dual-functionalized CN is qualified as an efficient photocatalyst for removal of VOCs, which exhibits 22 and 18 times isopropanol (IPA) adsorption capacity and CO2 production than of pristine CN during photocatalytic IPA removal, respectively. Moreover, this work provides a new strategy of surficial group-cluster bifunctionalization for systematically improving sustainable solar-to-chemical energy conversion towards VOCs mineralization.
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Affiliation(s)
- Xiang Liang
- College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan, 410083, PR China; Shenzhen Research Institute of Central South University, Shenzhen, 518057, PR China; Hunan Provincial Key Laboratory of Chemical Power Sources, Central South University, Changsha, 410083, Hunan, China
| | - Wenhui Feng
- Hunan Province Key Laboratory of Applied Environmental Photocatalysis, Changsha University, Changsha, 410022, PR China.
| | - Dong Liang
- College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan, 410083, PR China
| | - Yan Xu
- College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan, 410083, PR China
| | - Xiaoqing Qiu
- College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan, 410083, PR China; Shenzhen Research Institute of Central South University, Shenzhen, 518057, PR China; Hunan Provincial Key Laboratory of Chemical Power Sources, Central South University, Changsha, 410083, Hunan, China.
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