1
|
Li L, Wang F, Hu W, Zhang D, Li Z, Lv P, Xu Q, Yuan R, Zhang Y, Zhang Y, Guo H. Risk-oriented source apportionment and implications for mitigation strategies of VOCs in industrial parks: Insights from odor pollution and health risks. ENVIRONMENT INTERNATIONAL 2024; 193:109137. [PMID: 39541788 DOI: 10.1016/j.envint.2024.109137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2024] [Revised: 10/13/2024] [Accepted: 11/06/2024] [Indexed: 11/16/2024]
Abstract
A typical industrial park in the upper reaches of the Yangtze River Economic Belt, which is 70 km from the Chongqing urban center, was used to investigate the occurrence and exposure of harmful volatile organic compounds (VOCs). An exposure risk method and a risk-oriented source apportionment approach were performed to assess the inhalation risks and apportion VOC sources, respectively. The quantitative relationships between risk factors and pollution sources were established, identifying key pathogenic and odorous VOCs. The quantitative emission reduction strategies were developed based on risk thresholds. Residents within the industrial parks face potential health risks due to pathogenic VOCs and nuisance odors, and workers in specific sectors experience two to six times higher risks than those in residential areas. Six risk sources were identified in the industrial park, ranked according to their contribution to VOC concentrations as follows: industrial sewage treatment (IST) (32.59 %), natural gas chemical industry (NGCI) (27.77 %), diesel vehicle exhaust (DVE) (12.04 %), pharmaceutical manufacturing industry (PMI) (11.14 %), chemical raw materials manufacturing (CRMM) (9.96 %), and iron and steel industry (ISI) (6.5 %). Among these, NGCI, IST, and CRMM were the top contributors to pathogenic risks, with contributions of 32.13 %, 29.71 %, and 21.71 % to non-carcinogenic risks, and 18.15 %, 19.87 %, and 27.99 % to carcinogenic risks, respectively. DVE produced significantly higher odor pollution compared to other sources, with intensities that were 3 to 10 times greater. The key pathogenic and odorous VOCs differ by source, resulting in varying control priorities for different VOC species. Reducing emissions from these six sources for 20 high-risk species (e.g., acrolein, 2-chlorotoluene, 1,2-dibromoethane, dichloromethane, and p-diethylbenzene) will simultaneously lower pathogenic and odor risks, with cumulative reduction rates ranging from 4.11 % to 93.75 %. This study provides quantitative control targets for VOCs from a health risk perspective, offering valuable guidance for developing risk management policies in industrial parks.
Collapse
Affiliation(s)
- Ling Li
- Chongqing Key Laboratory of Urban Atmospheric Environment Observation and Pollution Prevention, Chongqing Research Academy of Eco-Environmental Sciences, Chongqing 401336, China; Southwest Branch of Chinese Research Academy of Environmental Sciences, Chongqing 401336, China.
| | - Fengwen Wang
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, College of Environment and Ecology, Chongqing University, Chongqing 400030, China
| | - Wei Hu
- Chongqing Key Laboratory of Urban Atmospheric Environment Observation and Pollution Prevention, Chongqing Research Academy of Eco-Environmental Sciences, Chongqing 401336, China; Southwest Branch of Chinese Research Academy of Environmental Sciences, Chongqing 401336, China
| | - Dan Zhang
- Chongqing Key Laboratory of Urban Atmospheric Environment Observation and Pollution Prevention, Chongqing Research Academy of Eco-Environmental Sciences, Chongqing 401336, China; Southwest Branch of Chinese Research Academy of Environmental Sciences, Chongqing 401336, China; School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 401331, China.
| | - Zhenliang Li
- Chongqing Key Laboratory of Urban Atmospheric Environment Observation and Pollution Prevention, Chongqing Research Academy of Eco-Environmental Sciences, Chongqing 401336, China; Southwest Branch of Chinese Research Academy of Environmental Sciences, Chongqing 401336, China
| | - Pingjiang Lv
- Chongqing Key Laboratory of Urban Atmospheric Environment Observation and Pollution Prevention, Chongqing Research Academy of Eco-Environmental Sciences, Chongqing 401336, China; Southwest Branch of Chinese Research Academy of Environmental Sciences, Chongqing 401336, China
| | - Qin Xu
- Chongqing Key Laboratory of Urban Atmospheric Environment Observation and Pollution Prevention, Chongqing Research Academy of Eco-Environmental Sciences, Chongqing 401336, China; Southwest Branch of Chinese Research Academy of Environmental Sciences, Chongqing 401336, China
| | - Rui Yuan
- Chongqing Key Laboratory of Urban Atmospheric Environment Observation and Pollution Prevention, Chongqing Research Academy of Eco-Environmental Sciences, Chongqing 401336, China; Southwest Branch of Chinese Research Academy of Environmental Sciences, Chongqing 401336, China
| | - Yunhuai Zhang
- School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 401331, China
| | - Yong Zhang
- Chongqing Key Laboratory of Urban Atmospheric Environment Observation and Pollution Prevention, Chongqing Research Academy of Eco-Environmental Sciences, Chongqing 401336, China; Southwest Branch of Chinese Research Academy of Environmental Sciences, Chongqing 401336, China
| | - Hai Guo
- Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong, China
| |
Collapse
|
2
|
Guo Y, Zhu L, Zhang L, Tang X, Li X, Ge Y, Li F, Yang J, Lu S, Chen J, Zhou X. Temporal Variation and Industry-Specific Differences of the Use of Volatile Organic Compounds from 2018 to 2023 and Their Health Risks in a Typical Industrially Concentrated Area in South China. TOXICS 2024; 12:634. [PMID: 39330562 PMCID: PMC11436172 DOI: 10.3390/toxics12090634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2024] [Revised: 08/04/2024] [Accepted: 08/26/2024] [Indexed: 09/28/2024]
Abstract
The risk of occupational exposure to organic solvents varies across industries due to factors such as processing materials, ventilation conditions, and exposure duration. Given the dynamic nature of organic solvent use and occupational exposures, continuous monitoring and analysis are essential for identifying high-risk hazards and developing targeted prevention strategies. Therefore, this study aims to analyze the use of organic solvents and volatile organic compounds (VOCs) in different industries in Bao'an District, Shenzhen, China, from 2018 to 2023, to understand their temporal variation and industry-specific differences and to identify high-risk occupational hazards. This study includes 1335 organic solvent samples, used by 414 different industry enterprises, and 1554 air samples. The result shows that the usage of organic solvents in various industries decreased with the outbreak of the pandemic and, conversely, increased as the situation improved. The most frequently detected volatile components in organic solvents were alkanes, followed by aromatic hydrocarbons. The ratios of the detection frequency of VOCs to the total number of detected categories increased year by year after 2020, indicating a tendency towards reduction and concentration of the types of organic solvents used in industrial production. Among the 8 high-risk VOCs, toluene (22.5%), n-hexane (22.0%), xylene (16.1%), and ethylbenzene (15.3%) have relatively high detection rates, suggesting that they need to be focused on in occupational health. Through air samples, the results show that trichloroethylene and xylene pose a high risk to human health (HQ > 1). We recommend that industry should strengthen monitoring of these two VOCs.
Collapse
Affiliation(s)
- Yijia Guo
- Public Health Service Center, Bao'an District, Shenzhen 518126, China
| | - Lihua Zhu
- Public Health Service Center, Bao'an District, Shenzhen 518126, China
| | - Liyin Zhang
- Public Health Service Center, Bao'an District, Shenzhen 518126, China
| | - Xinxin Tang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China
| | - Xinjie Li
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China
| | - Yiming Ge
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China
| | - Feng Li
- Public Health Service Center, Bao'an District, Shenzhen 518126, China
| | - Jilong Yang
- Public Health Service Center, Bao'an District, Shenzhen 518126, China
- School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China
| | - Shaoyou Lu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China
| | - Jinru Chen
- Public Health Service Center, Bao'an District, Shenzhen 518126, China
| | - Xiaotao Zhou
- Public Health Service Center, Bao'an District, Shenzhen 518126, China
| |
Collapse
|
3
|
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.
Collapse
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.
| |
Collapse
|
4
|
Malik N, Singh V, Kumar K, Elumalai SP. VOC source apportionment, reactivity, secondary transformations, and their prioritization using fuzzy-AHP method in a coal-mining city in India. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:25406-25423. [PMID: 38472578 DOI: 10.1007/s11356-024-32754-8] [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: 11/16/2023] [Accepted: 02/29/2024] [Indexed: 03/14/2024]
Abstract
This study assessed the air quality status in different functional zones of Dhanbad-a coal-mining and industrial hub, based on the measurement of aromatic and halogenated volatile organic compounds (VOCs) using gas chromatography. The study encompasses source apportionment of VOCs and their chemical reactivity in terms of OH radical loss rate (LOH), ozone-forming potential (OFP), and their secondary organic aerosol forming potential (SOAp). Furthermore, prioritization of VOCs based on a fuzzy-analytical hierarchical process (F-AHP) has also been done. The results found xylene species to have the highest concentration in all three seasons across traffic-intersection and industrial zones and toluene at the institutional zone. The study identified four sources using positive matrix factorization (PMF) model, viz., mixed traffic exhaust (35%), coal combustion sources (30%), industrial (26%), and solvent usage (9%). LOH and SOAp were ~ 16 times more at the industrial and traffic-intersection zone than the institutional zone. The aromatic species contributed 97% to the OFP, and many species exhibited less contribution to the mixing ratio of VOCs but displayed a high contribution to LOH, OFP, and SOAp, suggesting the need to prefer reactivity-based strategies in addition to concentration-based strategies in the future for their regulation. The F-AHP-based priority component analysis identified 16 species out of 29 in the priority watch list (nine in tier-1, four in tier-2, and three in tier-3). The paucity of data and lack of ambient air quality standards on VOCs (except benzene) make it difficult to determine which aspect should be dealt with first and which species require more attention. Therefore, the F-AHP method used in this study could help identify the influencing parameters to be considered while devising efficient VOC management policies.
Collapse
Affiliation(s)
- Nidhi Malik
- Department of Environmental Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, 826004, India
| | - Vivek Singh
- Department of Environmental Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, 826004, India
| | - Krishan Kumar
- School of Environmental Sciences, Jawaharlal Nehru University, New Delhi, 110017, India
| | - Suresh Pandian Elumalai
- Department of Environmental Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, 826004, India.
| |
Collapse
|
5
|
Zhang R, Qin Y, Yin X, Ruan S, Zhang Q, Wu W. Release characteristics of volatile organic compounds at residential garbage collection points: a case study of Hangzhou, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:18949-18961. [PMID: 38355856 DOI: 10.1007/s11356-024-32408-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 02/06/2024] [Indexed: 02/16/2024]
Abstract
With the implementation of garbage classification, perishable waste has become increasingly concentrated. This has led to a significant change in the VOC release characteristics at residential garbage collection points, posing a potential risk with unknown characteristics. This study investigated the release characteristics, odor pollution, and health risks of VOCs at garbage collection points under different classification effectiveness, seasons, garbage drop-off periods, and garbage collection point types. The results showed that the average concentration of VOCs released from the garbage sorting collection points (SPs) was 341.43 ± 261.16 μg/m3, and oxygenated compounds (e.g., ethyl acetate and acetone) were the main VOC components. The VOC concentration increased as the community classification effectiveness improved, and it was higher in summer (followed by spring, autumn, and winter). Moreover, the VOC concentrations were higher in the evenings than in the mornings and at centralized garbage collection points (CPs) than at SPs. Further, odor activity value (OAV) assessments indicated that acrolein, styrene, and ethyl acetate were the critical odorous components, with an average OAV of 0.87 ± 0.85, implying marginal odor pollution in some communities. Health risk assessments further revealed that trichloroethylene, benzene, and chlorotoluene were the critical health risk substances, with an average carcinogenic risk (CR) value of 10-6-10-4, and a non-carcinogenic risk (HI) value < 1. These results indicated that HIs were acceptable, but potential CRs existed in the communities. Therefore, VOC pollution prevention and control measures should be urgently strengthened at the garbage collection points in high pollution risk scenarios.
Collapse
Affiliation(s)
- Ruiqian Zhang
- Institute of Environment Science and Technology, College of Environmental and Resource Sciences, Zhejiang University, No. 866 Yuhangtang Road, Hangzhou, 310058, People's Republic of China
- Zhejiang Province Key Laboratory for Water Pollution Control and Environmental Safety Technology, Zhejiang, 310058, People's Republic of China
| | - Yong Qin
- Institute of Environment Science and Technology, College of Environmental and Resource Sciences, Zhejiang University, No. 866 Yuhangtang Road, Hangzhou, 310058, People's Republic of China.
- Zhejiang Province Key Laboratory for Water Pollution Control and Environmental Safety Technology, Zhejiang, 310058, People's Republic of China.
| | - Xiaosi Yin
- Institute of Environment Science and Technology, College of Environmental and Resource Sciences, Zhejiang University, No. 866 Yuhangtang Road, Hangzhou, 310058, People's Republic of China
- Zhejiang Province Key Laboratory for Water Pollution Control and Environmental Safety Technology, Zhejiang, 310058, People's Republic of China
| | - Shiting Ruan
- Institute of Environment Science and Technology, College of Environmental and Resource Sciences, Zhejiang University, No. 866 Yuhangtang Road, Hangzhou, 310058, People's Republic of China
- Zhejiang Province Key Laboratory for Water Pollution Control and Environmental Safety Technology, Zhejiang, 310058, People's Republic of China
| | - Qihang Zhang
- Institute of Environment Science and Technology, College of Environmental and Resource Sciences, Zhejiang University, No. 866 Yuhangtang Road, Hangzhou, 310058, People's Republic of China
- Zhejiang Province Key Laboratory for Water Pollution Control and Environmental Safety Technology, Zhejiang, 310058, People's Republic of China
| | - Weixiang Wu
- Institute of Environment Science and Technology, College of Environmental and Resource Sciences, Zhejiang University, No. 866 Yuhangtang Road, Hangzhou, 310058, People's Republic of China
- Zhejiang Province Key Laboratory for Water Pollution Control and Environmental Safety Technology, Zhejiang, 310058, People's Republic of China
| |
Collapse
|
6
|
Xiang Y, Zhang X, Tian Z, Cheng Y, Liu N, Meng X. Molecular mechanisms of 1,2-dichloroethane-induced neurotoxicity. Toxicol Res 2023; 39:565-574. [PMID: 37779589 PMCID: PMC10541367 DOI: 10.1007/s43188-023-00197-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 06/03/2023] [Accepted: 06/07/2023] [Indexed: 10/03/2023] Open
Abstract
The production of industrial solvents and adhesives often utilizes 1,2-dichloroethane (1,2-DCE), a highly toxic halogenated hydrocarbon compound. Occupational 1,2-DCE poisoning occurs frequently and is a public health concern. Exposure to 1,2-DCE can damage the brain, liver, and kidneys. The main and most severe damage caused by exposure to 1,2-DCE is to the nervous system, especially the central nervous system. Current research on 1,2-DCE mainly focuses on the mechanism of brain edema. Several possible mechanisms of 1,2-DCE neurotoxicity have been proposed, including oxidative stress, calcium overload, blood-brain barrier damage, and neurotransmitter changes. This article reviews the research progress on 1,2-DCE neurotoxicity and the mechanism behind it to provide a scientific basis for the prevention and treatment of 1,2-DCE poisoning.
Collapse
Affiliation(s)
- Yang Xiang
- Department of Occupational Health and Occupational Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, 1838 Guangzhoudadaobei, Guangzhou, Guangdong China
| | - Xiaoshun Zhang
- Department of Occupational Health and Occupational Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, 1838 Guangzhoudadaobei, Guangzhou, Guangdong China
| | - Zhiling Tian
- Shanghai Key Laboratory of Forensic Medicine, Ministry of Justice, Shanghai Forensic Service Platform, Key Laboratory of Forensic Science, Academy of Forensic Science, Shanghai, China
| | - Yibin Cheng
- Shanghai Key Laboratory of Forensic Medicine, Ministry of Justice, Shanghai Forensic Service Platform, Key Laboratory of Forensic Science, Academy of Forensic Science, Shanghai, China
| | - Ningguo Liu
- Shanghai Key Laboratory of Forensic Medicine, Ministry of Justice, Shanghai Forensic Service Platform, Key Laboratory of Forensic Science, Academy of Forensic Science, Shanghai, China
| | - Xiaojing Meng
- Department of Occupational Health and Occupational Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, 1838 Guangzhoudadaobei, Guangzhou, Guangdong China
| |
Collapse
|
7
|
Nguyen VS, Vu HNK, Nguyen TT, Huynh TTN, Ho QB. Identify Primary Air Pollution Sources of BTEX by Using Positive Matrix Factorization (PMF): A Case Study of Ho Chi Minh City, Vietnam. ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2023; 85:263-276. [PMID: 37198415 DOI: 10.1007/s00244-023-01002-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 04/27/2023] [Indexed: 05/19/2023]
Abstract
Ho Chi Minh City (HCMC) is one of the main socioeconomic and financial centers of Vietnam. The city also faces serious air pollution. However, the city polluted with benzene, toluene, ethylbenzene, and xylene (BTEX) has rarely been studied. We used positive matrix factorization (PMF) to analyze BTEX concentrations measured at two sampling locations to identify the main sources of BTEX in HCMC. The locations represented residential area (i.e., To Hien Thanh) and industrial area (i.e., Tan Binh Industrial Park). At the To Hien Thanh location, the average concentrations of benzene, ethylbenzene, toluene, and xylene were 6.9, 14.4, 4.9, and 12.7 µg/m3, respectively. At the Tan Binh location, the average concentrations of benzene, ethylbenzene, toluene, and xylene were 9.8, 22.6, 2.4, and 9.2 µg/m3, respectively. The results showed that PMF was a reliable model for source apportionment in HCMC. Traffic activities were the main sources of BTEX. Besides, industrial activities also contributed to BTEX emissions, especially the location near the industrial park. The majority of BTEXs at the To Hien Thanh sampling site come from traffic sources accounting for 56.2%. Activities from traffic and photochemical reactions (42.7%) and industrial sources (40.5%) were the main sources affecting BTEX emissions at the sampling site of Tan Binh Industrial Park. This study can be used as a reference for mitigation solutions to reduce the BTEX emission in HCMC.
Collapse
Affiliation(s)
- Van Sang Nguyen
- Institute for Environment and Resources (IER), Ho Chi Minh City, 700000, Vietnam
| | - Hoang Ngoc Khue Vu
- Institute for Environment and Resources (IER), Ho Chi Minh City, 700000, Vietnam
| | - Thoai Tam Nguyen
- Institute for Environment and Resources (IER), Ho Chi Minh City, 700000, Vietnam
| | | | - Quoc Bang Ho
- Institute for Environment and Resources (IER), Ho Chi Minh City, 700000, Vietnam.
- Department of Academic Affairs, Vietnam National University, 142 To Hien Thanh St, Dist.10, HCMC, Ho Chi Minh City, 700000, Vietnam.
| |
Collapse
|
8
|
Maleky S, Faraji M. BTEX in Ambient Air of Zarand, the Industrial City in Southeast of Iran: Concentration, Spatio-temporal Variation and Health Risk Assessment. BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2023; 111:25. [PMID: 37572109 DOI: 10.1007/s00128-023-03778-6] [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: 03/10/2023] [Accepted: 07/25/2023] [Indexed: 08/14/2023]
Abstract
The existence of several industries in Zarand, a city in Southeastern Iran, caused challenges for the residents about air pollutants and associated health effects. In the present study, the concentration of benzene, toluene, ethylbenzene, and xylene (BTEX), spatio-temporal distribution and related health risks were evaluated. Passive samplers were used to collect 30 samples in the over the hot and cold periods in 2020. The ordinary Kriging method was used to predict the spatio-temporal distribution of BTEXs. Also, the Monte Carlo simulation was used to evaluate the related carcinogenic and non-carcinogenic risks of BTEX for adults. The ranking of mean concentration of overall toluene, xylene, ethylbenzene, and benzene followed as 82.49 ± 26.86, 30.91 ± 14.04, 4.75 ± 3.28, and 0.91 ± 0.18 µg/m3, respectively. The mean value of lifetime carcinogenic risk (LTCR) for residents related to benzene was 7.52 × 10- 6, indicating a negligible carcinogenic risk for them. Furthermore, the ranking of non-carcinogenic risk calculated through hazard quotient (HQ) for investigated BTEX compounds followed as xylene > benzene > toluene > ethylbenzene over the hot period and xylene > toluene > ethylbenzene over the cold period which all points had HQ < 1. Additionally, according to the findings of the sensitivity analysis, the concentration of benzene was the main contributor in increasing the carcinogenic risk. According to our results, it can be stated that the existence of several industries in the study area could not possibly occur the significant carcinogenic and non-carcinogenic risks to the adults residents in the study period. Human studies are recommended to determine definite results.
Collapse
Affiliation(s)
- Sobhan Maleky
- Department of Environmental Health Engineering, School of Health, Jiroft University of Medical Sciences, Jiroft, Iran
| | - Maryam Faraji
- Environmental Health Engineering Research Center, Kerman University of Medical Sciences, Kerman, Iran.
- Department of Environmental Health Engineering, Faculty of Public Health, Kerman University of Medical Sciences, Kerman, Iran.
| |
Collapse
|
9
|
Xu C, Chen J, Zhang X, Cai K, Chen C, Xu B. Emission characteristics and quantitative assessment of the health risks of cooking fumes during outdoor barbecuing. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 323:121319. [PMID: 36813099 DOI: 10.1016/j.envpol.2023.121319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 11/15/2022] [Accepted: 02/17/2023] [Indexed: 06/18/2023]
Abstract
Given the increasing popularity of outdoor barbecue activities and the disregard for barbecue fumes, this study systematically investigated barbecue fume emission characteristics for three types of grilled meats. Particulate matter and volatile organic compounds (VOCs) were continuously measured, and polycyclic aromatic hydrocarbons (PAHs) were isolated from the particulate matter. Cooking emission concentrations depended strongly on the type of meat being cooked. Fine particles were the main particles detected in this study. Low and medium-weight PAHs were the dominant species for all cooking experiments. The mass concentration of total VOCs in the barbecue smoke of the three groups showed significant differences (p < 0.05) and was 1667.18 ± 10.49 μg/m3 in the chicken wing group, 904.03 ± 7.12 μg/m3 in the beef steak group, and 3653.37 ± 12.22 μg/m3 in the streaky pork group. The results of risk assessment showed that the toxicity equivalent quality (TEQ) of carcinogenic PAHs in the particulate matter was significantly higher in the streaky pork group than in the chicken wing and beef steak groups. The carcinogenic risk of benzene exceeds the US EPA standard (1.0E-6) in all types of fumes. Although the hazard index (HI) was below one in all groups for noncarcinogenic risks, it was not cause of optimism. We conjecture that only 500 g of streaky pork would exceed the noncarcinogenic risk limit, and the mass required for carcinogenic risk may be less. When barbecuing, it is essential to avoid high-fat foods and strictly control the fat quantity. This study quantifies the incremental risk of specific foods to consumers and will hopefully provide insight into the hazards of barbecue fumes.
Collapse
Affiliation(s)
- Chaoyang Xu
- Engineering Research Center of Bioprocesses, Ministry of Education, Hefei University of Technology, Hefei, China.
| | - Jiusong Chen
- School of Public Affairs, University of Science and Technology of China, Hefei, China.
| | - Xiaomin Zhang
- Engineering Research Center of Bioprocesses, Ministry of Education, Hefei University of Technology, Hefei, China.
| | - Kezhou Cai
- Engineering Research Center of Bioprocesses, Ministry of Education, Hefei University of Technology, Hefei, China.
| | - Conggui Chen
- Engineering Research Center of Bioprocesses, Ministry of Education, Hefei University of Technology, Hefei, China.
| | - Baocai Xu
- Engineering Research Center of Bioprocesses, Ministry of Education, Hefei University of Technology, Hefei, China.
| |
Collapse
|
10
|
Wang S, Li Q, Duan K, Wang B, Zhu X, Wang X, Shen Y, Liu H, Ma Y. Profile of atmospheric VOC over the Yellow Sea, China: A tale of distribution, constraints, and sources. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 868:161634. [PMID: 36669669 DOI: 10.1016/j.scitotenv.2023.161634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 01/09/2023] [Accepted: 01/12/2023] [Indexed: 06/17/2023]
Abstract
In the winter of 2018-2019, 75 air samples were collected through four ship-borne measurements in the Yellow Sea (YS) to assess the levels, confinement processes, and source distribution of volatile organic compounds (VOCs). A total of 41 were eventually detected, which mainly were non-methane hydrocarbons (NMHCs), volatile halogenated hydrocarbons (VHCs), oxygenated volatile organic compounds (OVOCs), and volatile organic sulfur compounds (VSCs). Aromatics (31.93 %) and alkenes (11.04 %) in the atmosphere of the YS accounted for a larger proportion of NMHCs compared with the coastal areas. C3-C5 alkanes, propylene, and chloroform exhibited strong latitudinal gradients and opposite latitudinal distributions in the North and South YS, highlighting the strong contribution of regional outflow to YS's atmosphere. The level of Σ41VOCs increased significantly during the heavy pollution period with some chemical monomers detected, which was further enhanced by the emissions from industrial parks near the Liaodong Peninsula and the Shandong Peninsula. Five main VOC sources were identified by the Positive matrix factorization (PMF) model, which were industrial emissions (13.33 %), fuel use and volatilization (6.67 %), Freon R-22 emissions (33.33 %), oil and gas production (20.00 %), and solvent volatilization (26.67 %). These observations revealed the strong causal relationship between coastal air mass transport and the atmosphere in the marginal sea and emphasized that full attention should be paid to the unintentional and unorganized emission of chemical monomers in the industrial process.
Collapse
Affiliation(s)
- Shuang Wang
- Green Shipping and Carbon Neutrality Laboratory, College of Environmental Science and Engineering, Dalian Maritime University, 116026, No. 1 Linghai Road, Dalian, Liaoning Province, China
| | - Qingbo Li
- Green Shipping and Carbon Neutrality Laboratory, College of Environmental Science and Engineering, Dalian Maritime University, 116026, No. 1 Linghai Road, Dalian, Liaoning Province, China.
| | - Kuiquan Duan
- Green Shipping and Carbon Neutrality Laboratory, College of Environmental Science and Engineering, Dalian Maritime University, 116026, No. 1 Linghai Road, Dalian, Liaoning Province, China
| | - Baopeng Wang
- Green Shipping and Carbon Neutrality Laboratory, College of Environmental Science and Engineering, Dalian Maritime University, 116026, No. 1 Linghai Road, Dalian, Liaoning Province, China
| | - Xinyu Zhu
- Dalian Eco-environmental Affairs Service Center, 116026, No. 58 Lianshan Street, Shahekou District, Dalian, China
| | - Xuanya Wang
- China Academy of Transportation Science, 10029, No. 240, Huixinli, Chaoyang District, Beijing, China
| | - Yuxin Shen
- Green Shipping and Carbon Neutrality Laboratory, College of Environmental Science and Engineering, Dalian Maritime University, 116026, No. 1 Linghai Road, Dalian, Liaoning Province, China
| | - Hui Liu
- Green Shipping and Carbon Neutrality Laboratory, College of Environmental Science and Engineering, Dalian Maritime University, 116026, No. 1 Linghai Road, Dalian, Liaoning Province, China
| | - Ye Ma
- Green Shipping and Carbon Neutrality Laboratory, College of Environmental Science and Engineering, Dalian Maritime University, 116026, No. 1 Linghai Road, Dalian, Liaoning Province, China
| |
Collapse
|
11
|
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: 12] [Impact Index Per Article: 6.0] [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.
Collapse
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
| |
Collapse
|
12
|
Ghobakhloo S, Khoshakhlagh AH, Morais S, Mazaheri Tehrani A. Exposure to Volatile Organic Compounds in Paint Production Plants: Levels and Potential Human Health Risks. TOXICS 2023; 11:111. [PMID: 36850986 PMCID: PMC9961358 DOI: 10.3390/toxics11020111] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 01/18/2023] [Accepted: 01/19/2023] [Indexed: 06/18/2023]
Abstract
A wide range of volatile organic solvents, including aliphatic and aromatic hydrocarbons, alcohols, and ketones, are used in the production of paints, and they comprise more than 30% of the ingredients of paints. The present study was designed to evaluate the occupational exposure to 15 volatile organic compounds (VOCs, including benzene, toluene, ethylbenzene, xylene, styrene, n-hexane, n-heptane, n-nonane, trichloroethylene, tetrachloroethylene, n-butyl acetate, n-octane, n-decane, dichlorofluoromethane, and acetone) in Iranian paint production factories and subsequently, the associated health risks. The samples were collected from the respiratory zone of workers using the NIOSH 1501 method, and their qualitative and quantitative characterization was performed using gas chromatography-mass spectrometry and gas chromatography-flame ionization detector, respectively. The individual concentrations of VOCs ranged from 23.76 ± 0.57 µg m-3 (acetone) to 92489.91 ± 0.65 µg m-3 (m,p-xylene). The predominant compounds were m,p-xylene (up to 92489.91 ± 0.65 µg m-3), ethylbenzene (up to 91188.95 ± 0.34 µg m-3), and toluene (up to 46088.84 ± 0.14 µg m-3). The non-cancer risks of benzene, n-nonane, trichloroethylene, tetrachloroethylene, xylene, and ethylbenzene surpassed the reference value in most of the sectors. In addition, total lifetime risks of cancer were in the range of 1.8 × 10-5-3.85 × 10-3, suggesting that there was a risk of carcinogenesis in all studied sections, mainly due to ethylbenzene and benzene. Considering their high exposure concentrations and their associated non-carcinogenic and carcinogenic risks, biological monitoring of workers and the use of technical and modern engineering control measures are recommended.
Collapse
Affiliation(s)
- Safiye Ghobakhloo
- Department of Environmental Health Engineering, School of Health, Kashan University of Medical Sciences, Kashan 8715988141, Iran
| | - Amir Hossein Khoshakhlagh
- Department of Occupational Health Engineering, School of Health, Kashan University of Medical Sciences, Kashan 8715988141, Iran
| | - Simone Morais
- REQUIMTE-LAQV, Instituto Superior de Engenharia do Porto, Instituto Politécnico do Porto, Rua Dr. António Bernardino de Almeida, 431, 4249-015 Porto, Portugal
| | - Ashraf Mazaheri Tehrani
- Department of Environmental Health Engineering, School of Health, Kashan University of Medical Sciences, Kashan 8715988141, Iran
| |
Collapse
|
13
|
Zhang L, Sun P, Sun D, Zhou Y, Han L, Zhang H, Zhu B, Wang B. Occupational health risk assessment of the benzene exposure industries: a comprehensive scoring method through 4 health risk assessment models. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:84300-84311. [PMID: 35780272 DOI: 10.1007/s11356-022-21275-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 05/31/2022] [Indexed: 06/15/2023]
Abstract
Benzene is one of the most common occupational hazards in the working environment which was in the list of group 1 carcinogens. This study applied four occupational health risk assessment models: EPA model; MOM model of Singapore; the International Council on Mining and Metals (ICMM) model, and the Technical guide WS/T 777-2021 of China. The models assessed both non-carcinogenic and carcinogenic effects of benzene for 1629 employees in 50 factories in Jiangsu Province (China) who were exposed to benzene in the working environment and analysis the risk between industries by principal component analysis (PCA) method. The highest occupational health hazard of benzene among the five industries is petroleum processing industry, then followed by chemical products manufacturing industry, special equipment manufacturing industry, wood processing and products industry, and at last the pharmaceutical manufacturing industry. The population of abnormal routine blood parameters in the subjects was mostly in the "wood products industry" group, and the concentration of benzene in "wood products industry" group is the lowest in 5 groups. The industries with low exposure concentration have higher blood abnormality rates; this may be caused by the fact that blood damage is more secretive under low occupational health risk.
Collapse
Affiliation(s)
- Ludi Zhang
- Key Laboratory of Environmental Medicine Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing , 210009, Jiangsu, China
- Jiangsu Provincial Center for Disease Prevention and Control, Nanjing, 210000, Jiangsu, China
| | - Peng Sun
- Key Laboratory of Environmental Medicine Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing , 210009, Jiangsu, China
- Jiangsu Provincial Center for Disease Prevention and Control, Nanjing, 210000, Jiangsu, China
| | - Dawei Sun
- Key Laboratory of Environmental Medicine Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing , 210009, Jiangsu, China
| | - Yanhua Zhou
- Key Laboratory of Environmental Medicine Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing , 210009, Jiangsu, China
| | - Lei Han
- Jiangsu Provincial Center for Disease Prevention and Control, Nanjing, 210000, Jiangsu, China
| | - Hengdong Zhang
- Jiangsu Provincial Center for Disease Prevention and Control, Nanjing, 210000, Jiangsu, China
| | - Baoli Zhu
- Key Laboratory of Environmental Medicine Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing , 210009, Jiangsu, China.
- Jiangsu Provincial Center for Disease Prevention and Control, Nanjing, 210000, Jiangsu, China.
- Center for Global Health, Nanjing Medical University, Nanjing, China.
- Jiangsu Province Engineering Research Center of Public Health Emergency, Jiangsu, China.
| | - Boshen Wang
- Key Laboratory of Environmental Medicine Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing , 210009, Jiangsu, China.
- Jiangsu Provincial Center for Disease Prevention and Control, Nanjing, 210000, Jiangsu, China.
| |
Collapse
|
14
|
Khajeh Hoseini L, Jalilzadeh Yengejeh R, Mohammadi Rouzbehani M, Sabzalipour S. Health risk assessment of volatile organic compounds (VOCs) in a refinery in the southwest of Iran using SQRA method. Front Public Health 2022; 10:978354. [PMID: 36176512 PMCID: PMC9514116 DOI: 10.3389/fpubh.2022.978354] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Accepted: 08/02/2022] [Indexed: 01/25/2023] Open
Abstract
Oil industries, such as oil refineries, are important sources of volatile organic compound production. These compounds have significant health effects on human health. In this study, a health risk assessment is carried out on volatile organic compounds (VOCs) in the recovery oil plant (ROP) unit of a refinery in southwest Iran. It was performed using the SQRA method including respiratory risk for chronic daily intake (CDI) of VOCs and cancer risk and non-cancer risk indices. Five locations in the area of oil effluents and five locations in the refinery area (control samples) were considered for evaluation. The sampling was done according to the standard NIOSH-1501 and SKC pumps. The gas chromatography/flame ionization detector (GC/FID) method was used to extract VOCs. The cancer slope factor (CSF) and respiratory reference dose (RFC) were calculated in addition to the respiratory risk (CDI). The end result shows that a significant difference was observed between the concentrations of volatile organic compounds in the two groups of air (P < 0.05). The SQRA risk assessment showed that the risk levels of benzene for workers in the pit area were very high (4-5). Health hazard levels were also evaluated as high levels for toluene (2-4) and moderate levels for xylene and paraxylene (1-3). The cancer risk assessment of volatile organic compounds recorded the highest level of cancer risk for benzene in the range of petroleum effluents (>1). Also, a non-cancer risk (HQ) assessment revealed that benzene had a significant health risk in the range of oil pits (2-3). Based on the results, petroleum industries, including refineries, should conduct health risk assessment studies of volatile organic compounds. The units that are directly related to the high level of VOCs should be considered sensitive groups, and their employees should be under special management to reduce the level of exposure to these compounds and other hazardous compounds.
Collapse
Affiliation(s)
| | - Reza Jalilzadeh Yengejeh
- Department of Environmental Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran,*Correspondence: Reza Jalilzadeh Yengejeh
| | | | - Sima Sabzalipour
- Department of Environment, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
| |
Collapse
|
15
|
Feng Y, Ding D, Xiao A, Li B, Jia R, Guo Y. Characteristics, influence factors, and health risk assessment of volatile organic compounds through one year of high-resolution measurement at a refinery. CHEMOSPHERE 2022; 296:134004. [PMID: 35181418 DOI: 10.1016/j.chemosphere.2022.134004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 02/08/2022] [Accepted: 02/13/2022] [Indexed: 06/14/2023]
Abstract
From January 2020 to December 2020, high-resolution data of volatile organic compound (VOC) concentrations were monitored by online instruments at a petroleum refinery. The measurement results showed that the external contaminants, meteorological conditions and photochemical reactions had a great influence on the VOC data measured in the petroleum refineries. Some significant differences were observed in the emission composition of different refineries, while propene (34.2%), propane (10.2%), n-butane (5.6%), i-pentane (5.0%) were the dominant species emitted from the refinery in this study. The correlations between compounds with similar atmospheric lifetimes were strong (R2 > 0.9), which indicated that the diagnostic ratios of these compounds could be used as indicators to identify the refinery emission source. Chronic health effects of non-carcinogenic risk results showed that acrolein had the highest non-carcinogenic risk and other compound-specific health risks may be of less concern in the refining area. Halogenates and aromatics accounted for 97.4% of the total carcinogenic risk values, while 1,2-dibromoethane, chloromethane, benzene, trichloromethane, 1,2-dichloroethane contributed approximately 80% of the total carcinogenic risk assessment values. This research has recorded valuable data about the VOC emission characteristics from the perspective of the high-resolution monitoring of the petroleum refinery. The results of this work will provide a reference to accurately quantify and identify the emission of petroleum refineries and further throw some light on effective VOC abatement strategies.
Collapse
Affiliation(s)
- Yunxia Feng
- State Key Laboratory of Safety and Control for Chemicals, SINOPEC Research Institute of Safety Engineering Co., Ltd., Qingdao, Shandong, 266071, PR China.
| | - Dewu Ding
- State Key Laboratory of Safety and Control for Chemicals, SINOPEC Research Institute of Safety Engineering Co., Ltd., Qingdao, Shandong, 266071, PR China
| | - Anshan Xiao
- State Key Laboratory of Safety and Control for Chemicals, SINOPEC Research Institute of Safety Engineering Co., Ltd., Qingdao, Shandong, 266071, PR China
| | - Bo Li
- State Key Laboratory of Safety and Control for Chemicals, SINOPEC Research Institute of Safety Engineering Co., Ltd., Qingdao, Shandong, 266071, PR China
| | - Runzhong Jia
- State Key Laboratory of Safety and Control for Chemicals, SINOPEC Research Institute of Safety Engineering Co., Ltd., Qingdao, Shandong, 266071, PR China
| | - Yirong Guo
- State Key Laboratory of Safety and Control for Chemicals, SINOPEC Research Institute of Safety Engineering Co., Ltd., Qingdao, Shandong, 266071, PR China
| |
Collapse
|
16
|
Wu R, Zhao Y, Xia S, Hu W, Xie F, Zhang Y, Sun J, Yu H, An J, Wang Y. Reconciling the bottom-up methodology and ground measurement constraints to improve the city-scale NMVOCs emission inventory: A case study of Nanjing, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 812:152447. [PMID: 34942246 DOI: 10.1016/j.scitotenv.2021.152447] [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: 10/19/2021] [Revised: 12/07/2021] [Accepted: 12/12/2021] [Indexed: 06/14/2023]
Abstract
Reliable emission estimate of non-methane volatile organic compounds (NMVOCs) is important for understanding the atmospheric chemistry and formulating control policy of ozone (O3). In this study, a speciated emission inventory of anthropogenic NMVOCs was developed with the refined "bottom-up" methodology and best available information of individual sources for Nanjing in 2017. The total NMVOCs emissions were calculated at 163.2 Gg. It was broken down into the emissions of over 500 individual species and aromatics took the largest fraction (33.3% of the total emissions). Meanwhile, 105 compounds were measured at 5 sites representing different functional zones of Nanjing for one year. The annual mean concentration of totally 105 species varied from 48.5 ppbv to 63.7 ppbv, and alkanes was the most abundant group with its mass fractions ranging 37.2-40.1% at different sites. Constrained by the emission ratios of individual species versus carbon monoxide (CO) based on ground measurement, the total emissions of 105 species (NMVOCs-105) was estimated at 195.6 Gg, 81.1% larger than the bottom-up estimate of NMVOCs-105 (108.0 Gg). The constrained emissions indicated an overestimation of aromatics and underestimation of OVOCs and halocarbons in the bottom-up emission inventory because of the uncertainties in source profiles. O3 simulation with Community Multi-scale Air Quality (CMAQ) model was conducted for January, April, July and October in 2017 to evaluate the bottom-up and constrained emission estimates. The mean normal bias (MNB) and mean normal error (MNE) values were generally within the criteria (MNB ≤ ±15% and MNE ≤ 30%) for both inventories. The model performance was improved when the constrained estimates were applied, indicating the benefit of ground observation constraints on NMVOCs emission estimation and O3 simulation. Based on the O3 formation potential (OFP), 12 key NMVOCs species mainly from surface coating, on-road vehicles and oil exploitation and refinery were identified as the priority compounds for O3 reduction.
Collapse
Affiliation(s)
- Rongrong Wu
- State Key Laboratory of Pollution Control & Resource Reuse and School of the Environment, Nanjing University, 163 Xianlin Ave., Nanjing, Jiangsu 210023, China
| | - Yu Zhao
- State Key Laboratory of Pollution Control & Resource Reuse and School of the Environment, Nanjing University, 163 Xianlin Ave., Nanjing, Jiangsu 210023, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, CICAEET, Nanjing, Jiangsu 210044, China.
| | - Sijia Xia
- Jiangsu Key Laboratory of Environmental Engineering, Jiangsu Provincial Academy of Environmental Sciences, Nanjing, Jiangsu 210036, China
| | - Wei Hu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Fangjian Xie
- Nanjing Municipal Academy of Ecology and Environment Protection Science, Nanjing, Jiangsu 210093, China
| | - Yan Zhang
- Jiangsu Environmental Engineering and Technology Co., Ltd, Jiangsu Environmental Protection Group Co., Nanjing, Jiangsu 210019, China
| | - Jinjin Sun
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Huan Yu
- School of Environmental Studies, China University of Geosciences, Wuhan, Hubei 430074, China
| | - Junlin An
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China
| | - Yutong Wang
- State Key Laboratory of Pollution Control & Resource Reuse and School of the Environment, Nanjing University, 163 Xianlin Ave., Nanjing, Jiangsu 210023, China
| |
Collapse
|
17
|
Li Y, Yan B. Human health risk assessment and distribution of VOCs in a chemical site, Weinan, China. OPEN CHEM 2022. [DOI: 10.1515/chem-2022-0132] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Abstract
The study assessed the volatile organic compound (VOC) pollution characteristics in a chemical site in Weinan, China. The results indicated that chloroform, benzene, trichloroethylene, 1,2-dichloroethane, ethylbenzene, 1,2-dichloropropane, and 1,2,3-Trichloropropane exceeded the soil standard limit for soil contamination of development land (GB36600, PRC). Using pollution index, ambient severity, and correlation coefficient revealed industrial production and relocation activities as sources of VOCs contamination in the site. The carcinogenic risk assessed by human exposure to site VOCs through ingestion, respiration, exposure, etc., exceeded the potentially acceptable level (1.0 × 10−6). 1,2,3-trichloropropane has the highest carcinogenic risk across all pathways, regions, and populations. The long-term exposure and emission of VOCs in the investigated sites could likely pose an adverse health risk to site staff and the surrounding sensitive groups. Therefore, it is necessary to carry out strict investigation and evaluation of the site, and timely repair and control to protect the water, soil, and air environment and to avoid the long-term cumulative exposure risk to human health caused by VOCs emission.
Collapse
Affiliation(s)
- Yan Li
- Shaanxi Provincial Land Engineering Construction Group Co., Ltd. , Xi’an-710075 , China
- Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd. , Xi’an-710021 , China
- Technology Innovation Center for Land Engineering and Human Settlements, Shaanxi Land Engineering Construction Group Co., Ltd and Xi’an Jiaotong University , Xi’an-710075 , China
| | - Bo Yan
- Shaanxi Provincial Land Engineering Construction Group Co., Ltd. , Xi’an-710075 , China
- Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd. , Xi’an-710021 , China
- Technology Innovation Center for Land Engineering and Human Settlements, Shaanxi Land Engineering Construction Group Co., Ltd and Xi’an Jiaotong University , Xi’an-710075 , China
| |
Collapse
|
18
|
Chen R, Li T, Huang C, Yu Y, Zhou L, Hu G, Yang F, Zhang L. Characteristics and health risks of benzene series and halocarbons near a typical chemical industrial park. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 289:117893. [PMID: 34385133 DOI: 10.1016/j.envpol.2021.117893] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 07/30/2021] [Accepted: 07/31/2021] [Indexed: 06/13/2023]
Abstract
Health risks of typical benzene series and halocarbons (BSHs) in a densely populated area near a large-scale chemical industrial park were investigated. Ambient and indoor air and tap water samples were collected in summer and winter; and the concentration characteristics, sources, and exposure risks of typical BSH species, including five benzene series (benzene, toluene, ethylbenzene, o-xylene, m,p-xylene) and five halocarbons (dichloromethane, trichloromethane, trichloroethylene, tetrachloromethane, and tetrachloroethylene), were analysed. The total mean concentrations of BSHs were 53.32 μg m-3, 36.29 μg m-3, and 26.88 μg L-1 in indoor air, ambient air, and tap water, respectively. Halocarbons dominated the total BSHs with concentrations relatively higher than those in many other industrial areas. Industrial solvent use, industrial processes, and vehicle exhaust emissions were the principal sources of BSHs in ambient air. The use of household products (e.g., detergents and pesticides) was the principal source of indoor BSHs. Inhalation is the primary human exposure route. Ingestion of drinking water was also an important exposure route but had less impact than inhalation. Lifetime non-cancer risks of individual and cumulative BSHs were below the threshold (HQ = 1), indicating no significant lifetime non-cancer risks in the study area. However, tetrachloromethane, benzene, trichloromethane, ethylbenzene, and trichloroethylene showed potential lifetime cancer risk. The cumulative lifetime cancer risks exceeded the tolerable benchmark (1 × 10-4), indicating a lifetime cancer risk of BSHs to residents near the chemical industry park. This study provides valuable information for the management of public health in chemical industrial parks.
Collapse
Affiliation(s)
- Ruonan Chen
- Chongqing Key Laboratory of Water Environment Evolution and Pollution Control in Three Gorges Reservoir, Chongqing Three Gorges University, Wanzhou, 404000, China
| | - Tingzhen Li
- Chongqing Key Laboratory of Water Environment Evolution and Pollution Control in Three Gorges Reservoir, Chongqing Three Gorges University, Wanzhou, 404000, China
| | - Chengtao Huang
- Chongqing Key Laboratory of Water Environment Evolution and Pollution Control in Three Gorges Reservoir, Chongqing Three Gorges University, Wanzhou, 404000, China
| | - Yunjiang Yu
- Chongqing Key Laboratory of Water Environment Evolution and Pollution Control in Three Gorges Reservoir, Chongqing Three Gorges University, Wanzhou, 404000, China; State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, 510655, China
| | - Li Zhou
- School of Public Health and Management, Chongqing Medical University, Chongqing, 400016, China
| | - Guocheng Hu
- Chongqing Key Laboratory of Water Environment Evolution and Pollution Control in Three Gorges Reservoir, Chongqing Three Gorges University, Wanzhou, 404000, China; State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, 510655, China
| | - Fumo Yang
- Chongqing Key Laboratory of Water Environment Evolution and Pollution Control in Three Gorges Reservoir, Chongqing Three Gorges University, Wanzhou, 404000, China; National Engineering Research Center for Flue Gas Desulfurization, Department of Environmental Science and Engineering, Sichuan University, Chengdu, 610065, China
| | - Liuyi Zhang
- Chongqing Key Laboratory of Water Environment Evolution and Pollution Control in Three Gorges Reservoir, Chongqing Three Gorges University, Wanzhou, 404000, China.
| |
Collapse
|
19
|
Qian X, Wan Y, Wang A, Xia W, Yang Z, He Z, Xu S. Urinary metabolites of multiple volatile organic compounds among general population in Wuhan, central China: Inter-day reproducibility, seasonal difference, and their associations with oxidative stress biomarkers. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 289:117913. [PMID: 34426205 DOI: 10.1016/j.envpol.2021.117913] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 07/17/2021] [Accepted: 08/03/2021] [Indexed: 06/13/2023]
Abstract
General population are concurrently and extensively exposed to many volatile organic compounds (VOCs), including some Group 1 human carcinogens, such as 1,3-butadiene. However, only a few studies assessed internal exposure levels of VOCs; particularly, very limited studies have examined associations between the urinary concentrations of multiple VOC metabolites (mVOCs) and oxidative stress biomarkers (OSBs) among the general population. In this study, 21 mVOCs and three OSBs including 8-hydroxy-2'-deoxyguanosine (8-OHdG; for DNA), 8-hydroxyguanosine (8-OHG; for RNA), and 4-hydroxy nonenal mercapturic acid (HNEMA; for lipid) were measured in 406 urine samples collected from 128 healthy adults during autumn and winter of 2018 in Wuhan, central China, including repeated samples taken in 3 d from 75 volunteers. Inter-day reproducibility for most mVOCs was good to excellent; urinary concentrations of mVOCs in winter were generally higher than those in autumn. Risk assessment was conducted by calculating hazard quotients for the parent compounds, and the results suggested that acrolein, 1,3-butadiene, and cyanide should be considered as high-priority hazardous ones for management. After false-discovery adjustment, 16 of the studied mVOCs were positively associated with 8-OHdG and 8-OHG (β values ranged from 0.04 to 0.48), and four mVOCs were positively associated with HNEMA (β values ranged from 0.21 to 0.78). Weighted quantile sum regression analyses were used to assess associations of mVOC mixture and OSBs, and we found significantly positive associations between the mixture index and OSBs, among which the strongest mVOC contributors for the associations were 2-methylhippuric acid for both DNA (20%) and RNA (17%) oxidative damage, and trans,trans-muconic acid (50%) for lipid peroxidation. This study firstly reported good to excellent short-term reproducibility, seasonal difference in autumn and winter, and possible health risk in urinary concentrations of multiple mVOCs among the general population.
Collapse
Affiliation(s)
- Xi Qian
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, PR China.
| | - Yanjian Wan
- Institute of Environmental Health, Wuhan Centers for Disease Control & Prevention, Wuhan, Hubei, 430024, PR China.
| | - Aizhen Wang
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, PR China.
| | - Wei Xia
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, PR China.
| | | | - Zhenyu He
- Institute of Environmental Health, Wuhan Centers for Disease Control & Prevention, Wuhan, Hubei, 430024, PR China.
| | - Shunqing Xu
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, PR China.
| |
Collapse
|
20
|
Zhang D, He B, Yuan M, Yu S, Yin S, Zhang R. Characteristics, sources and health risks assessment of VOCs in Zhengzhou, China during haze pollution season. J Environ Sci (China) 2021; 108:44-57. [PMID: 34465436 DOI: 10.1016/j.jes.2021.01.035] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 01/28/2021] [Accepted: 01/31/2021] [Indexed: 06/13/2023]
Abstract
Zhengzhou is one of the most haze-polluted cities in Central China with high organic carbon emission, which accounts for 15%-20% of particulate matter (PM2.5) in winter and causes significantly adverse health effects. Volatile organic compounds (VOCs) are the precursors of secondary PM2.5 and O3 formation. An investigation of characteristics, sources and health risks assessment of VOCs was carried out at the urban area of Zhengzhou from 1st to 31st December, 2019. The mean concentrations of total detected VOCs were 48.8 ± 23.0 ppbv. Alkanes (22.0 ± 10.4 ppbv), halocarbons (8.1 ± 3.9 ppbv) and aromatics (6.5 ± 3.9 ppbv) were the predominant VOC species, followed by alkenes (5.1 ± 3.3 ppbv), oxygenated VOCs (3.6 ± 1.8 ppbv), alkyne (3.5 ± 1.9, ppbv) and sulfide (0.5 ± 0.9 ppbv). The Positive Matrix Factorization model was used to identify and apportion VOCs sources. Five major sources of VOCs were identified as vehicular exhaust, industrial processes, combustion, fuel evaporation, and solvent use. The carcinogenic and non-carcinogenic risk values of species were calculated. The carcinogenic and non-carcinogenic risks of almost all air toxics increased during haze days. The total non-carcinogenic risks exceeded the acceptable ranges. Most VOC species posed no non-carcinogenic risk during three haze events. The carcinogenic risks of chloroform, 1,2-dichloroethane, 1,2-dibromoethane, benzyl chloride, hexachloro-1,3-butadiene, benzene and naphthalene were above the acceptable level (1.0 × 10-6) but below the tolerable risk level (1.0 × 10-4). Industrial emission was the major contributor to non-carcinogenic, and solvent use was the major contributor to carcinogenic risks.
Collapse
Affiliation(s)
- Dong Zhang
- College of Chemistry, Zhengzhou University, Zhengzhou 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Bing He
- Environmental Protection Monitoring Center Station of Zhengzhou, Zhengzhou 450007, China
| | - Minghao Yuan
- Environmental Protection Monitoring Center Station of Zhengzhou, Zhengzhou 450007, China
| | - Shijie Yu
- College of Chemistry, Zhengzhou University, Zhengzhou 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Shasha Yin
- Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China; School of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, China
| | - Ruiqin Zhang
- Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China; School of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, China.
| |
Collapse
|
21
|
Quantitative and Semiquantitative Health Risk Assessment of Occupational Exposure to Styrene in a Petrochemical Industry. Saf Health Work 2021; 12:396-402. [PMID: 34527402 PMCID: PMC8430436 DOI: 10.1016/j.shaw.2021.01.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2019] [Revised: 11/08/2020] [Accepted: 01/24/2021] [Indexed: 11/21/2022] Open
Abstract
Background Styrene is one of the aromatic compounds used in acetonitrile-butadiene-styrene (ABS) producing petrochemicals, which has an impact on health of workers. Therefore, this study aimed to investigate the health risks of styrene emitted from the petrochemical industry in Iran. Methods Air samples were collected based on NIOSH 1501 method. The samples were analyzed by the Varian-cp3800 gas chromatograph. Finally, risk levels of styrene's health effects on employees were assessed by the quantitative method of the U.S. Environmental Protection Agency (U.S. EPA) and the semiquantitative way by the Singapore Occupational Safety and Health Association. Results Based on the results, the employees had the highest average exposure to styrene vapors (4.06 × 10 - 1 m g . ( k g - d a y ) - 1 ) in the polybutadiene latex (PBL) unit. Therefore, the most top predictors of cancer and non-cancer risk were 2.3 × 10 - 4 and 7.26 × 10 - 1 , respectively. Given that the lowest average exposure (1.5 × 10 - 2 m g . ( k g - d a y ) - 1 ) was in the dryer unit, the prediction showed a moderate risk of cancer (0.8 × 10 - 6 ) and non-cancer (2.3 × 10 - 3 ) for the employees. The EPA method also predicted that there would be a definite cancer risk in 16% and a probable risk in 76% of exposures. However, according to the semiquantitative approach, the rate of risk was at the "low" level for all staff. The results showed that there was a significant difference (p < 0.05) between the units in exposure and health risk of styrene (p < 0.05). Conclusion Given the high risk of styrene's health effects, appropriate control measures are required to reduce the exposure level.
Collapse
|
22
|
Rezaali M, Fouladi-Fard R, Mojarad H, Sorooshian A, Mahdinia M, Mirzaei N. A wavelet-based random forest approach for indoor BTEX spatiotemporal modeling and health risk assessment. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:22522-22535. [PMID: 33420932 DOI: 10.1007/s11356-020-12298-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 12/29/2020] [Indexed: 05/13/2023]
Abstract
This study reports on BTEX concentrations in one of the largest parking garages in Iran with a peak traffic flow reaching up to ~9300 vehicles in the last few days of the Nowruz holidays. Samples were obtained on different days of the week at three main locations in the Zaer Parking Garage. A novel wavelet-based random forest model (WRF) was trained to estimate BTEX concentrations by decomposing temperature, day of the week, sampling location, and relative humidity data with a maximal overlap discrete wavelet transform (MODWT) function and subsequently inputted into the WRF model. The results suggested that the WRF model can reasonably estimate BTEX trends and variations based on high R2 values of 0.96, 0.95, and 0.98 for training, validation, and test data subsets, respectively. The carcinogenic (LTCR) and non-carcinogenic health risk (HI) assessment results indicated a definite carcinogenic risk of benzene (LTCR = 2.22 × 10-4) and high non-carcinogenic risk (HI = 4.51) of BTEX emissions. The results of this study point to the importance of BTEX accumulation in poorly ventilated areas and the utility of machine learning in forecasting air pollution in diverse airsheds such as parking garages.
Collapse
Affiliation(s)
| | - Reza Fouladi-Fard
- Research Centre for Environmental Pollutants, Qom University of Medical Sciences, Qom, Iran.
- Department of Environmental Health Engineering, School of Health, Qom University of Medical Sciences, Qom, Iran.
| | - Hassan Mojarad
- Student Research Committee, Qom University of Medical Sciences, Qom, Iran
| | - Armin Sorooshian
- Department of Chemical and Environmental Engineering, University of Arizona, Tucson, AZ, USA
- Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ, USA
| | - Mohsen Mahdinia
- Department of Occupational Health, Faculty of Health, Qom University of Medical Sciences, Qom, Iran
| | - Nezam Mirzaei
- Department of Environmental Health Engineering, Social Determinants of Health (SDH) Research Center, Kashan University of Medical Sciences, Kashan, Iran
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| |
Collapse
|
23
|
Vitali M, Castellani F, Fragassi G, Mascitelli A, Martellucci C, Diletti G, Scamosci E, Astolfi ML, Fabiani L, Mastrantonio R, Protano C, Spica VR, Manzoli L. Environmental status of an Italian site highly polluted by illegal dumping of industrial wastes: The situation 15 years after the judicial intervention. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 762:144100. [PMID: 33360460 DOI: 10.1016/j.scitotenv.2020.144100] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 11/03/2020] [Accepted: 11/20/2020] [Indexed: 06/12/2023]
Abstract
In 2008 the Italian government classified the Bussi sul Tirino area (Central Italy) as Site of National Interest destined to remediation which, unfortunately, has not yet begun. The decision followed >20 years of illegal dumping of industrial wastes, lasting from 1984 to 2005, that generated the biggest illegal toxic waste disposal site in Europe. The contamination profile of the site was mainly characterized by PCDD/Fs, PCBs, PAHs, chlorinated solvents, Hg, and Pb. Due to the health concern of the population and local authorities, an extensive monitoring and biomonitoring campaign was carried out in 2017-2018, checking the site-specific pollutants in local food (free-range hens' eggs, milk from grazing sheep and goats, wild edible mushrooms, and drinking water), environmental (air and freshwaters) and biological (human urine) matrices. A total of 314 samples were processed, obtaining 3217 analytical data that were compared with regulatory limits, when available, and values reported by international literature. The sum PCDD/Fs and DL-PCBs ranged from 0.24 to 3.6 pg TEQ g-1 fat, and from 0.46 to 8.3 pg TEQ g-1 fat, respectively in milk in eggs, in line with the maximum levels established by CE Regulations except for an egg sample. As regards PAHs, all our results were lower than the literature data, as well as for Hg and Pb. Outdoor air showed levels of chlorinated solvents ranging from <LOD to 36 μg m-3, and freshwaters from 0.21 to 2.8 μg L-1. All drinking water samples resulted compliant with the maximum levels established by the current EU directive. Despite the severe pollution of the illegal dumping site and the remediation not yet carried out, the local environment and the population living in Bussi and surroundings seem not to be affected by significant exposure to the toxics characterizing the landfill.
Collapse
Affiliation(s)
- Matteo Vitali
- Department of Public Health and Infectious Diseases, University of Rome La Sapienza, P.le Aldo Moro, 5, 00185 Rome, Italy.
| | - Federica Castellani
- Department of Public Health and Infectious Diseases, University of Rome La Sapienza, P.le Aldo Moro, 5, 00185 Rome, Italy; Department of Ecological and Biological Sciences, Tuscia University, Largo dell'Università snc, 01100 Viterbo, Italy.
| | - Giorgia Fragassi
- Regional Healthcare Agency of Abruzzo, Via Attilio Monti 9, 65127 Pescara, PE, Italy
| | - Alfonso Mascitelli
- Regional Healthcare Agency of Abruzzo, Via Attilio Monti 9, 65127 Pescara, PE, Italy
| | - Cecilia Martellucci
- Department of Biomedical Sciences and Public Health, University of the Marche Region, Via Tronto 10/a, 60020 Torrette di Ancona, AN, Italy
| | - Gianfranco Diletti
- Istituto Zooprofilattico Sperimentale of Abruzzo and Molise "Giuseppe Caporale", via Campo Boario, 64100 Teramo, TE, Italy.
| | - Emanuela Scamosci
- Environmental Protection Regional Agency of Abruzzo, via Marconi 49, 65126 Pescara, PE, Italy.
| | - Maria Luisa Astolfi
- Department of Chemistry, University of Rome La Sapienza, P.le Aldo Moro, 5, 00185 Rome, Italy.
| | - Leila Fabiani
- Department of Life, Health & Environmental Sciences, University of L'Aquila, P.le Salvatore Tommasi 1, 67100 Coppito, L'Aquila, Italy.
| | - Riccardo Mastrantonio
- Department of Life, Health & Environmental Sciences, University of L'Aquila, P.le Salvatore Tommasi 1, 67100 Coppito, L'Aquila, Italy.
| | - Carmela Protano
- Department of Public Health and Infectious Diseases, University of Rome La Sapienza, P.le Aldo Moro, 5, 00185 Rome, Italy.
| | - Vincenzo Romano Spica
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Piazza Lauro De Bosis 6, 00135 Rome, Italy.
| | - Lamberto Manzoli
- Department of Medical Sciences, University of Ferrara, Via Fossato di Mortara 64B, 44121 Ferrara, FE, Italy.
| |
Collapse
|
24
|
Huang Y, Xia Y, Tao Y, Jin H, Ji C, Aniagu S, Chen T, Jiang Y. Protective effects of resveratrol against the cardiac developmental toxicity of trichloroethylene in zebrafish embryos. Toxicology 2021; 452:152697. [PMID: 33524428 DOI: 10.1016/j.tox.2021.152697] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 01/13/2021] [Accepted: 01/26/2021] [Indexed: 01/03/2023]
Abstract
Trichloroethylene (TCE), a prevalent environmental contaminant, has been shown to induce cardiac malformations. Resveratrol (RSV) is a natural polyphenolic compound exhibiting protective effects on heart development. To investigate if RSV could protect against TCE-induced heart defects, we exposed zebrafish embryos to TCE (10 ppb) in the presence or absence of RSV (1 μg/mL). Our results showed that RSV significantly attenuated TCE-induced heart defects in zebrafish embryos. The TCE-induced ROS (reactive oxygen species) generation, 8-OHdG (8-hydroxy-2`-deoxyguanosine) formation and cell proliferation were significantly counteracted by RSV. Moreover, RSV attenuated the TCE-induced changes in mRNA expression or activity of genes involved in AHR and Nrf2 signal pathways. We further showed that RSV might inhibit TCE-enhanced cell proliferation by rescuing the downregulation of the p53/p21 axis. In conclusion, our data demonstrates that RSV protects against the cardiac developmental toxicity of TCE by inhibiting AHR activity, oxidative stress and cell proliferation.
Collapse
Affiliation(s)
- Yujie Huang
- School of Public Health, Medical College of Soochow University, Suzhou, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, China
| | - Ying Xia
- School of Biology and Basic Medical Sciences, Medical College of Soochow University, Suzhou, China
| | - Yizhou Tao
- School of Public Health, Medical College of Soochow University, Suzhou, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, China
| | - Hongmei Jin
- School of Public Health, Medical College of Soochow University, Suzhou, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, China
| | - Cheng Ji
- School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Stanley Aniagu
- Toxicology, Risk Assessment, and Research Division, Texas Commission on Environmental Quality, 12015 Park 35 Cir, Austin, TX, USA
| | - Tao Chen
- School of Public Health, Medical College of Soochow University, Suzhou, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, China.
| | - Yan Jiang
- School of Biology and Basic Medical Sciences, Medical College of Soochow University, Suzhou, China.
| |
Collapse
|
25
|
Li S, Dang X, Yu X, Yu R, Abbasd G, Zhang Q. High energy efficient degradation of toluene using a novel double dielectric barrier discharge reactor. JOURNAL OF HAZARDOUS MATERIALS 2020; 400:123259. [PMID: 32593941 DOI: 10.1016/j.jhazmat.2020.123259] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 06/17/2020] [Accepted: 06/18/2020] [Indexed: 06/11/2023]
Abstract
A double dielectric barrier discharge (DDBD) reactor was established to decompose toluene with high energy efficiency. Differences in discharge characteristics including visual images, voltage-current waveforms, Lissajous figures, and temperature variation, were determined between the DDBD and SDBD reactors. Removal efficiency, mineralization rate, CO2 selectivity, and energy yield were used to evaluate the toluene abatement performance of the two reactors. Compared to the SDBD reactor, the DDBD reactor exhibited more uniform and stable discharges due to a change in discharge mode. In addition, the DDBD reactor's dissipated power and reactor temperature (including the gas, barrier and ground electrode) were significantly lower than those in the SDBD reactor. At 22-24 kV, the DDBD reactor showed a higher toluene removal efficiency and mineralization rate, while at 14-16 kV, the SDBD reactor exhibited higher respective value. The energy efficiency of the DDBD was 2.5-3 times that of the SDBD reactor, and the overall energy constant koverall of the DDBD reactor (1.47 mL/J) was significantly higher than that of the SDBD reactor (0.367 mL/J) as revealed by the kinetics study. Lastly, a plausible toluene degradation mechanism in the DDBD and SDBD reactors was proposed based on organic intermediates that formed during toluene decomposition.
Collapse
Affiliation(s)
- Shijie Li
- School of Environment & Municipal Engineering, Xi'an University of Architecture & Technology, Xi'an 710055, China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture & Technology, Xi'an 710055, China
| | - Xiaoqing Dang
- School of Environment & Municipal Engineering, Xi'an University of Architecture & Technology, Xi'an 710055, China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture & Technology, Xi'an 710055, China.
| | - Xin Yu
- School of Environment & Municipal Engineering, Xi'an University of Architecture & Technology, Xi'an 710055, China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture & Technology, Xi'an 710055, China
| | - Rui Yu
- Research Center of Air Pollution Control Technology, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Ghulam Abbasd
- Department of Chemical Engineering and Technology, University of Gujrat, 50700 Pakistan
| | - Qian Zhang
- School of Environment & Municipal Engineering, Xi'an University of Architecture & Technology, Xi'an 710055, China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture & Technology, Xi'an 710055, China; Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710055, China.
| |
Collapse
|
26
|
Gu Y, Liu B, Li Y, Zhang Y, Bi X, Wu J, Song C, Dai Q, Han Y, Ren G, Feng Y. Multi-scale volatile organic compound (VOC) source apportionment in Tianjin, China, using a receptor model coupled with 1-hr resolution data. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 265:115023. [PMID: 32593924 DOI: 10.1016/j.envpol.2020.115023] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 05/27/2020] [Accepted: 06/10/2020] [Indexed: 06/11/2023]
Abstract
The multi-scale chemical characteristics and source apportionment of volatile organic compounds (VOCs) were analysed in Tianjin, China, using 1-hr resolution VOC-species data between November 1, 2018 and March 15, 2019. The average total VOC (TVOC) concentration was 30.6 ppbv during the heating season. The alkanes accounted for highest proportion of the TVOC, while the alkenes were the predominant species forming ozone, especially ethylene. Compared to the clean period, the concentration of acetylene during the haze events showed highest increase rate, followed by the ethane; and the concentrations and proportions of alkanes and alkenes were highest during the growth stage (GS) of haze events. The multi-scale apportionment results suggested petrochemical industry and solvent usage (PI/SU, 31.2%), vehicle emissions and liquefied petroleum gas (VE/LPG, 20.5%), and combustion emissions (CE, 19.1%) were the main VOC sources during the heating season. Compared to the clean period, the contributions of PI/SU, VE/LPG, CE, and refinery emissions notably increased during the haze events, while that of gasoline evaporation decreased. The contributions of PI/SU and RPI showed significantly increase during the GS of haze events, whereas most sources decreased during the dissipation stage of haze events. Diurnal-variations in source contributions during the haze events were clearer than the clean period, and the contributions of PI/SU, VE/LPG, and CE during the haze events were markedly higher at night. These findings provide valuable information to inform effective VOC control and prevention measures with specific relevance for the control of ozone pollution in Tianjin.
Collapse
Affiliation(s)
- Yao Gu
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China
| | - Baoshuang Liu
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China.
| | - Yafei 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
| | - Yufen Zhang
- 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
| | - Xiaohui Bi
- 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
| | - Jianhui Wu
- 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
| | - Congbo Song
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, B15 2TT, UK
| | - Qili Dai
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China
| | - Yan Han
- 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
| | - Ge Ren
- Ying Da Chang An Insurance Brokers Group CO., LTD, Beijing, 100052, 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
| |
Collapse
|
27
|
Tang VT, Oanh NTK, Rene ER, Binh TN. Analysis of roadside air pollutant concentrations and potential health risk of exposure in Hanoi, Vietnam. JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH. PART A, TOXIC/HAZARDOUS SUBSTANCES & ENVIRONMENTAL ENGINEERING 2020; 55:975-988. [PMID: 32452753 DOI: 10.1080/10934529.2020.1763091] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 04/23/2020] [Accepted: 04/25/2020] [Indexed: 06/11/2023]
Abstract
The large number of vehicles plying in roads is the main cause of traffic jam and air pollution in Hanoi. In this study, the vehicle density and shares of different vehicle types, the traffic flow velocity and roadside air pollutants concentrations were monitored in Chua Boc street, a typical arterial road in the city. The shares of the motorcycle, car and bus fleets in the total on-road traffic in the street were 78.4-87.3, 12.3-20.2 and 0.4-1.4%, respectively. The high density of vehicles caused traffic jam during rush hours and considerably reduced the vehicle speed. The traffic flow velocity during non-rush and rush hours was found to vary from 26.4-34.5 and 10.3-12.1 km/h, respectively. The average concentrations of PM10, PM2.5, SO2, NO2, CO and NMVOC during the rush hours were the following: 117.1 ± 8.5, 65.2 ± 10.6, 113.5 ± 10.9, 138.5 ± 16.0, 6792 ± 998 and 451 ± 71 µg/m3, respectively, which were about 1.9-2.6 times above the levels during non-rush hours. The decrease in vehicle speed during rush hours were strongly correlated with the increase in concentration of PM10 (R2 = 0.732), PM2.5 (R2 = 0.685), SO2 (R2 = 0.578), NO2 (R2 = 0.738), CO (R2 = 0.689) and NMVOC (R2 = 0.747). High levels of these toxic air pollutants in Hanoi city posed a high health risk to humans. Facemask use was more popular among the motorcycle commuters and pedestrians, especially during rush hours, than among the people working for extended time period alongside of the street.
Collapse
Affiliation(s)
- Van Tai Tang
- Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam
| | - Nguyen Thi Kim Oanh
- Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam
- Air Pollution Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam
- Environmental Engineering and Management, Asian Institute of Technology, Pathumthani, Thailand
| | - Eldon R Rene
- Department of Environmental Engineering and Water Technology, IHE - Delft Institute for Water Education, Delft, The Netherlands
| | - Tran Ngoc Binh
- Faculty of Public Health, Vinh Medical University, Vinh, Vietnam
| |
Collapse
|
28
|
Simayi M, Shi Y, Xi Z, Li J, Yu X, Liu H, Tan Q, Song D, Zeng L, Lu S, Xie S. Understanding the sources and spatiotemporal characteristics of VOCs in the Chengdu Plain, China, through measurement and emission inventory. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 714:136692. [PMID: 32018956 DOI: 10.1016/j.scitotenv.2020.136692] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 01/13/2020] [Accepted: 01/13/2020] [Indexed: 05/16/2023]
Abstract
In order to evaluate the volatile organic compounds (VOCs) pollution characteristics in Chengdu and to identify their sources, ambient air sample collection and measurement were conducted at 28 sampling sites covering all districts/counties of Chengdu from May 2016 to January 2017. Meanwhile, a county-level anthropogenic speciated VOCs emission inventory was established by "bottom-up" method for 2016. Then, a comparison was made between the VOCs emissions, spatial variations, and source structures derived from the measurement and emission inventory. Ambient measurements showed that the annual average mixing ratios of VOCs in Chengdu were 57.54 ppbv (12.36 to 456.04 ppbv), of which mainly dominated by alkanes (38.8%) and OVOCs (22.0%). The ambient VOCs in Chengdu have distinct spatiotemporal characteristics, with a high concentration in January at the middle-northern part of the city and a low concentration in September at the southwestern part. The spatial distribution of VOCs estimated by the emission inventory was in good agreement with ambient measurements. Comparison of individual VOCs emissions indicated that the emissions of non-methane hydrocarbon species agreed within ±100% between the two methods. Both positive matrix factorization (PMF) model results and emission inventory showed that vehicle emissions were the major contributor of anthropogenic VOCs in Chengdu (31% and 37%), followed by solvent utilization (26% and 27%) and industrial processes (23% and 30%). The large discrepancies were found between the relative contribution of combustion sources, and the PMF resolved more contributions (20%) than the emission inventory (6%). Overall, this study demonstrates that measurement results and emission inventory were in a good agreement. However, to improve the reliability of the emission inventory, we suggest significant revision on source profiles of oxygenated volatile organic compounds (OVOCs) and halocarbons, as well as more detailed investigation should be made in terms of energy consumption in household.
Collapse
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
| | - 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
| | - Jing Li
- College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871, PR China
| | - Xuena Yu
- College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871, PR China
| | - Hefan Liu
- Chengdu Academy of Environmental Science, Chengdu 610015, PR China
| | - Qinwen Tan
- Chengdu Academy of Environmental Science, Chengdu 610015, PR China
| | - Danlin Song
- Chengdu Academy of Environmental Science, Chengdu 610015, PR China
| | - Limin Zeng
- College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871, PR China
| | - Sihua Lu
- 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.
| |
Collapse
|
29
|
Liu J, Zheng G. Emission of volatile organic compounds from a small-scale municipal solid waste transfer station: Ozone-formation potential and health risk assessment. WASTE MANAGEMENT (NEW YORK, N.Y.) 2020; 106:193-202. [PMID: 32234654 DOI: 10.1016/j.wasman.2020.03.031] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 03/01/2020] [Accepted: 03/23/2020] [Indexed: 06/11/2023]
Abstract
Volatile organic compounds (VOCs) are the main precursors of tropospheric ozone and secondary aerosol generation, posing a threat to human health and affecting the environmental climate. A large quantity of VOCs can be produced in the initial decomposition stage of municipal solid waste (MSW). In this study, the atmosphere in an MSW transfer station was monitored for one year. The emission characteristics of VOCs in different seasons and working hours were analyzed, and the ozone-formation potential of VOCs was calculated through the maximum incremental reaction method, and health risks posed by the VOCs in the MSW transfer station were assessed. The results showed that the highest concentration of VOCs appeared in spring and summer, accounting for 70.6% and 26.6% of total VOCs (TVOCs) in peak working periods, respectively. Oxygenated compounds and terpenes contributed most to ozone formation, accounting for 41.0% and 50.6% of total ozone formation, respectively. The carcinogenic risks were above the safe threshold, labeled "probable risks". Tetrachloroethylene and 1,2-dichloroethane were the main contributors to carcinogenic risks. The mean non-carcinogenic risks were within the safe threshold in the MSW transfer station. From the perspective of protecting human health and ecological environmental safety, VOC control needs to be further strengthened in the transfer station.
Collapse
Affiliation(s)
- Junwan Liu
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Guodi Zheng
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
| |
Collapse
|
30
|
Zheng H, Kong S, Yan Y, Chen N, Yao L, Liu X, Wu F, Cheng Y, Niu Z, Zheng S, Zeng X, Yan Q, Wu J, Zheng M, Liu D, Zhao D, Qi S. Compositions, sources and health risks of ambient volatile organic compounds (VOCs) at a petrochemical industrial park along the Yangtze River. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 703:135505. [PMID: 31759719 DOI: 10.1016/j.scitotenv.2019.135505] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 11/11/2019] [Accepted: 11/12/2019] [Indexed: 06/10/2023]
Abstract
Petrochemical industry (PI) is an important emission sector of anthropogenic volatile organic compounds (VOCs). The health impacts of VOCs from PI have caused a wide attention by both scientists and publics. In this study, compositions, sources and health risks of VOCs at a typical petrochemical industrial park along the middle reach of Yangtze River were studied. The total VOC concentrations were in the range of 5.59 to 541 ppbv with a mean value of 54.8 ppbv. Alkanes (41.4 ± 15.7%) were the predominant group, followed by alkenes (19.9 ± 18.3%), OVOCs (14.7 ± 9.26%), halo hydrocarbon (11.2 ± 6.42%), aromatics (8.17 ± 5.08%), and acetylene (4.54 ± 2.80%). Compound-specific health risk results showed that acrolein and 1,3-butadiene had the highest non-carcinogenic risk (expressed by hazard ratio, HR: 22.8) and carcinogenic risk (expressed by lifetime cancer risk, LCR: 6.7 × 10-3), respectively. Positive matrix factorization (PMF) model identified four VOC sources including fuel evaporation, industrial sources, ethylene industry and regional background with the average contributions of 35.6%, 12.0%, 26.5% and 25.9%, respectively. The receptor-originated approach combining the PMF model and conventional methods (HR and LCR) was used to assess the source-specific health risks. The non-cancer risks of four VOC sources were above safe level with regional background contributing most (38.3% or 4.91) to HR. The cancer risks of the four sources were below the tolerable level (<10-4) and regional background also contributed most, with relative contribution of 58.4% (or 10-4.22) to LCR. Our results are conductive to the formulation of countermeasures to reduce human exposure to ambient VOCs at petrochemical industrial parks in China.
Collapse
Affiliation(s)
- Huang Zheng
- Department of Atmospheric Science, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China; Department of Environmental Science and Technology, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Shaofei Kong
- Department of Atmospheric Science, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China.
| | - Yingying Yan
- Department of Atmospheric Science, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Nan Chen
- Hubei Environmental Monitoring Centre, Wuhan 430072, China
| | - Liquan Yao
- Department of Atmospheric Science, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China; Department of Environmental Science and Technology, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Xi Liu
- Department of Atmospheric Science, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Fangqi Wu
- Department of Atmospheric Science, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Yi Cheng
- Department of Atmospheric Science, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Zhenzhen Niu
- Department of Atmospheric Science, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Shurui Zheng
- Department of Atmospheric Science, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Xin Zeng
- Department of Environmental Science and Technology, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Qin Yan
- Department of Atmospheric Science, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China; Department of Environmental Science and Technology, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Jian Wu
- Department of Atmospheric Science, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China; Department of Environmental Science and Technology, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| | - Mingming Zheng
- Department of Environmental Science and Technology, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China; Hubei Environmental Monitoring Centre, Wuhan 430072, China
| | - Dantong Liu
- Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou 310058, China
| | - Delong Zhao
- Beijing Weather Modification Office, Beijing 100089, China
| | - Shihua Qi
- Department of Environmental Science and Technology, School of Environmental Sciences, China University of Geosciences, Wuhan 430074, China
| |
Collapse
|
31
|
Zheng G, Liu J, Shao Z, Chen T. Emission characteristics and health risk assessment of VOCs from a food waste anaerobic digestion plant: A case study of Suzhou, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 257:113546. [PMID: 31708279 DOI: 10.1016/j.envpol.2019.113546] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 10/30/2019] [Accepted: 10/30/2019] [Indexed: 06/10/2023]
Abstract
The process of anaerobic digestion in food waste treatment plants generates a large amount of volatile organic compounds (VOCs). Long-term exposure to this exhaust gas can pose a threat to the health of workers and people living nearby. In this study, VOCs emitted from different working units in a food waste anaerobic digestion plant were monitored for a year. Variations in VOCs emitted from each unit were analyzed and a health risk assessment was conducted for each working unit. The results show that the concentration of VOCs in different units varied greatly. The highest cumulative concentration of VOCs appeared in the hydrothermal hydrolysis unit (3.49 × 104 μg/m3), followed by the sorting/crushing room (8.97 × 103 μg/m3), anaerobic digestion unit (6.21 × 102 μg/m3), and biogas production unit (2.01 × 102 μg/m3). Oxygenated compounds and terpenes were the major components of the emitted VOCs, accounting for more than 98% of total VOC emissions. The carcinogenic risk in the plant exceeded the safety threshold (ILCR<1 × 10-6), while the non-carcinogenic risk was within the acceptable range (HI < 1). The carcinogenic risk from the hydrothermal hydrolysis unit was the highest, reaching 4.4 × 10-5, and was labeled as "probable risk." The carcinogenic risk at the plant boundary was 1.2 × 10-5, indicating exhaust gases can cause a health threat to neighbors. Therefore, management VOCs in anaerobic digestion plants should receive more attention, and employees should minimize the time they spend in the hydrothermal hydrolysis unit.
Collapse
Affiliation(s)
- Guodi Zheng
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Junwan Liu
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhuze Shao
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Tongbin Chen
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| |
Collapse
|
32
|
Feng B, Shu Y, Zhang S. Theoretical study of PhCH2O4CH2Ph: intermediate in the PhCH2O2 self-reaction. Struct Chem 2020. [DOI: 10.1007/s11224-019-01383-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
|
33
|
Liu Y, Zhu C, Sun J, Ge Y, Song F, Xu Q. In situ assembly of CQDs/Bi2WO6 for highly efficient photocatalytic degradation of VOCs under visible light. NEW J CHEM 2020. [DOI: 10.1039/c9nj04957f] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
A facile strategy of the assembly of CQD/Bi2WO6 hybrid materials, which exhibit highly efficient photocatalytic degradation of pollutants under visible light.
Collapse
Affiliation(s)
- Yangqing Liu
- School of Chemistry and Engineering
- Yancheng Institute of Technology
- Yancheng
- P. R. China
- Key Laboratory for Advanced Technology in Environmental Protection of Jiangsu Province
| | - Changjun Zhu
- School of Chemistry and Engineering
- Yancheng Institute of Technology
- Yancheng
- P. R. China
- Key Laboratory for Advanced Technology in Environmental Protection of Jiangsu Province
| | - Jingwen Sun
- School of Chemistry and Engineering
- Yancheng Institute of Technology
- Yancheng
- P. R. China
- Key Laboratory under Construction for Volatile Organic Compounds Controlling of Jiangsu Province
| | - Yan Ge
- School of Chemistry and Engineering
- Yancheng Institute of Technology
- Yancheng
- P. R. China
- Key Laboratory under Construction for Volatile Organic Compounds Controlling of Jiangsu Province
| | - Fujiao Song
- School of Chemistry and Engineering
- Yancheng Institute of Technology
- Yancheng
- P. R. China
- Key Laboratory for Advanced Technology in Environmental Protection of Jiangsu Province
| | - Qi Xu
- School of Chemistry and Engineering
- Yancheng Institute of Technology
- Yancheng
- P. R. China
- Key Laboratory under Construction for Volatile Organic Compounds Controlling of Jiangsu Province
| |
Collapse
|
34
|
Sun Z, Ding C, Xi J, Lu L, Yang B. Enhancing biofilm formation in biofilters for benzene, toluene, ethylbenzene, and xylene removal by modifying the packing material surface. BIORESOURCE TECHNOLOGY 2020; 296:122335. [PMID: 31732413 DOI: 10.1016/j.biortech.2019.122335] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 10/22/2019] [Accepted: 10/23/2019] [Indexed: 06/10/2023]
Abstract
Polyurethane (PU) sponges are popular packing material in biofilters and their smooth and hydrophobic surface often leads to an uneven distribution and detachment of biofilms. In this work, the surface of PU sponge was modified to obtain higher roughness and positive charge. The performances of two biofilters (BF1 with pristine sponge and BF2 with modified sponge) for benzene, toluene, ethylbenzene, and xylene (BTEX) removal were investigated. Total Volatile Organic Compound (TVOC) removal efficiency and CO2 increment were 61% and 804 ppm for BF2 respectively after start-up, compared with 51% and 538 ppm for BF1. Analysis on biofilms showed that the modification of PU sponge significantly improved the microbial growth, viability and adhesive strength in biofilms, reduced extracellular polymeric substance (EPS) and changed the microbial community. These results demonstrate that modified sponge can enhance biofilm formation and BTEX removal in biofilters and may applied in large-scale applications.
Collapse
Affiliation(s)
- Zhuqiu Sun
- Environmental Simulation and Pollution Control State Key Joint Laboratory, School of Environment, Tsinghua University, Beijing 100084, PR China
| | - Cheng Ding
- Key Laboratory for Advanced Technology in Environmental Protection of Jiangsu Province, Yancheng Institute of Technology, Yancheng 224051, PR China
| | - Jinying Xi
- Environmental Simulation and Pollution Control State Key Joint Laboratory, School of Environment, Tsinghua University, Beijing 100084, PR China; State Environmental Protection Key Laboratory of Microorganism Application and Risk Control (SMARC), Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, PR China.
| | - Lichao Lu
- Environmental Simulation and Pollution Control State Key Joint Laboratory, School of Environment, Tsinghua University, Beijing 100084, PR China
| | - Bairen Yang
- Key Laboratory for Advanced Technology in Environmental Protection of Jiangsu Province, Yancheng Institute of Technology, Yancheng 224051, PR China
| |
Collapse
|
35
|
Latif MT, Abd Hamid HH, Ahamad F, Khan MF, Mohd Nadzir MS, Othman M, Sahani M, Abdul Wahab MI, Mohamad N, Uning R, Poh SC, Fadzil MF, Sentian J, Tahir NM. BTEX compositions and its potential health impacts in Malaysia. CHEMOSPHERE 2019; 237:124451. [PMID: 31394440 DOI: 10.1016/j.chemosphere.2019.124451] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2019] [Revised: 07/23/2019] [Accepted: 07/24/2019] [Indexed: 06/10/2023]
Abstract
This study aims to determine the composition of BTEX (benzene, toluene, ethylbenzene and xylene) and assess the risk to health at different sites in Malaysia. Continuous monitoring of BTEX in Kuala Lumpur City Centre, Kuala Terengganu, Kota Kinabalu and Fraser Hill were conducted using Online Gas Chromatograph. For comparison, BTEX at selected hotspot locations were determined by active sampling method using sorbent tubes and Thermal Desorption Gas Chromatography Mass Spectrometry. The hazard quotient (HQ) for non-carcinogenic and the life-time cancer risk (LTCR) of BTEX were calculated using the United States Environmental Protection Agency (USEPA) health risk assessment (HRA) methods. The results showed that the highest total BTEX concentrations using continuous monitoring were recorded in the Kuala Lumpur City Centre (49.56 ± 23.71 μg/m3). Toluene was the most dominant among the BTEX compounds. The average concentrations of benzene ranged from 0.69 ± 0.45 μg/m3 to 6.20 ± 3.51 μg/m3. Measurements using active sampling showed that BTEX concentrations dominated at the roadside (193.11 ± 114.57 μg/m3) in comparison to petrol station (73.08 ± 30.41 μg/m3), petrochemical industry (32.10 ± 13.13 μg/m3) and airport (25.30 ± 6.17 μg/m3). Strong correlations among BTEX compounds (p<0.01, r>0.7) at Kuala Lumpur City Centre showed that BTEX compounds originated from similar sources. The values of HQ at all stations were <1 indicating the non-carcinogenic risk are negligible and do not pose threats to human health. The LTCR value based on benzene inhalation (1.59 × 10-5) at Kuala Lumpur City Centre were between 1 × 10-4 and 1 × 10-5, representing a probable carcinogenic risk.
Collapse
Affiliation(s)
- Mohd Talib Latif
- School of Environment and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia.
| | - Haris Hafizal Abd Hamid
- School of Environment and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia; Institute for Environment and Development (LESTARI), Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia
| | - Fatimah Ahamad
- Centre for Tropical Climate Change System, Institute of Climate Change, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia
| | - Md Firoz Khan
- Department of Chemistry, Faculty of Science, University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Mohd Shahrul Mohd Nadzir
- School of Environment and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia; Centre for Tropical Climate Change System, Institute of Climate Change, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia
| | - Murnira Othman
- School of Environment and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia
| | - Mazrura Sahani
- Centre for Health and Applied Sciences, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia
| | - Muhammad Ikram Abdul Wahab
- Centre for Health and Applied Sciences, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia
| | - Noorlin Mohamad
- Environmental Research Group, School of Marine and Environmental Sciences, Universiti Malaysia Terengganu, 21030, Kuala Terengganu, Terengganu, Malaysia
| | - Royston Uning
- School of Environment and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia
| | - Seng Chee Poh
- Environmental Research Group, School of Marine and Environmental Sciences, Universiti Malaysia Terengganu, 21030, Kuala Terengganu, Terengganu, Malaysia
| | - Muhammad Fais Fadzil
- Environmental Research Group, School of Marine and Environmental Sciences, Universiti Malaysia Terengganu, 21030, Kuala Terengganu, Terengganu, Malaysia
| | - Justin Sentian
- Faculty Science and Natural Resources, Universiti Malaysia Sabah, Jalan UMS, 88400, Kota Kinabalu, Sabah, Malaysia
| | - Norhayati Md Tahir
- Environmental Research Group, School of Marine and Environmental Sciences, Universiti Malaysia Terengganu, 21030, Kuala Terengganu, Terengganu, Malaysia
| |
Collapse
|
36
|
|
37
|
Jafari AJ, Faridi S, Momeniha F. Temporal variations of atmospheric benzene and its health effects in Tehran megacity (2010-2013). ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:17214-17223. [PMID: 31012075 DOI: 10.1007/s11356-019-05086-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2018] [Accepted: 04/04/2019] [Indexed: 06/09/2023]
Abstract
The main aims of the present research were (1) investigation of the temporal trends of atmospheric benzene concentrations in Tehran city during the period 2010 to 2013 and (2) assessment of carcinogenic and non-carcinogenic health risks of inhalation exposure to benzene. For the first objective, the data of ambient air benzene concentrations were derived from 15 air quality monitoring stations (AQMSs) in Tehran during the years 2010 to 2013 and they were temporally investigated after data cleaning and missing data imputation. The excess lifetime cancer risk (ELCR) and hazard quotient (HQ) were estimated to reveal the carcinogenic and non-carcinogenic health effects of exposure to ambient benzene. Our findings indicated that over 2010-2013, annual mean concentrations of benzene were in the range of 1.84 to 2.57 μg m-3, and the highest annual mean concentration was observed in 2011 with a mean of 2.57 μg m-3. The four-year average concentration of benzene during the period from 2010 to 2013 was 2.14 μg m-3. Furthermore, the HQ for inhalation exposure to ambient benzene was lower than the acceptable risk level (HQ < 1) over the study time period which indicated that the non-carcinogenic effects are very unlikely to happen. In addition, health risk assessment for ELCR showed that the potential cancer risk for inhalation exposure to benzene was 1.67 × 10-5 over the study period, which is significantly higher than the limits recommended by the U.S. EPA (1 × 10-6). Our study clearly proves that the ambient benzene concentration in Tehran has substantially higher carcinogenic effects on the population. Appropriate sustainable control measures should be taken to reduce air benzene concentration and protect public health.
Collapse
Affiliation(s)
- Ahmad Jonidi Jafari
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Sasan Faridi
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Momeniha
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
- Student Research Committee, Faculty of Public Health Branch, Iran University of Medical Sciences, Tehran, Iran.
| |
Collapse
|
38
|
Xue H, Liu G, Zhang H, Hu R, Wang X. Similarities and differences in PM 10 and PM 2.5 concentrations, chemical compositions and sources in Hefei City, China. CHEMOSPHERE 2019; 220:760-765. [PMID: 30611074 DOI: 10.1016/j.chemosphere.2018.12.123] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Revised: 12/14/2018] [Accepted: 12/18/2018] [Indexed: 06/09/2023]
Abstract
Atmospheric particulates were sampled in Hefei City, China from October 2016 to January 2017 to compare chemical compositions and sources of PM2.5 (particle size smaller than 2.5 μm) and PM10 (particle size smaller than 10 μm). The mean levels of PM2.5 and PM10 were 81 and 109 μg/m3, which are higher than the health threshold levels regulated by national and international standards. During the sampling period, AQI (Air Quality Index) was strongly correlated with PM2.5 (Pearson's coefficient r = 0.94) rather than PM10 concentrations. The PM2.5/PM10 ratios were approximately 0.7, revealing the characteristics of fine particle pollution. Pollution elements (S, Zn, Cu and Pb) took up a large proportion of the composition and had high enrichment factors of 437, 385, 20 and 53, respectively, in PM10. Coal combustion and high-tech manufacture industry discharges were suggested to be the main pollution sources of both PM2.5 and PM10. The PM2.5/PM10 ratios of anthropogenic element concentrations were much higher than ratios of earth crust element. As compared to PM10, S and Pb in PM2.5 had larger EFs, indicating that pollution elements were predominantly enriched in PM2.5. Furthermore, a paired sample t-test confirmed similar sources of PM2.5 and PM10. Our study provides basic database to evaluate the heavy metal pollution status of atmospheric particulates in Chinese cities.
Collapse
Affiliation(s)
- Huaqin Xue
- CAS Key Laboratory of Crust-Mantle Materials and Environment, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, Anhui 230026, China; State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, The Chinese Academy of Sciences, Xi'an, Shanxi 710075, China
| | - Guijian Liu
- CAS Key Laboratory of Crust-Mantle Materials and Environment, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, Anhui 230026, China; State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, The Chinese Academy of Sciences, Xi'an, Shanxi 710075, China.
| | - Hong Zhang
- CAS Key Laboratory of Crust-Mantle Materials and Environment, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, Anhui 230026, China; Anhui Environment Science Institute, Hefei, Anhui 233000, China
| | - Ruoyu Hu
- CAS Key Laboratory of Crust-Mantle Materials and Environment, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Xin Wang
- CAS Key Laboratory of Crust-Mantle Materials and Environment, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, Anhui 230026, China
| |
Collapse
|