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Zhao S, Duan W, Cui N, Zhao D. Characterizing VOCs emissions of coal chemical enterprise in China: a case study in five coal chemical enterprises. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:123983-123995. [PMID: 37995037 DOI: 10.1007/s11356-023-31039-w] [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: 07/14/2022] [Accepted: 11/08/2023] [Indexed: 11/24/2023]
Abstract
Coal chemical-induced climate change has become a global concern. However, the dearth of comprehensive case studies and fundamental data has obstructed the accurate quantification of volatile organic compounds (VOCs) emissions. This has failed to equip coal chemical industries with the necessary guidelines to implement effective emission reduction strategies. In response to this, the present study meticulously examined and contrasted the VOCs emissions from five distinct coal chemical enterprises in China. This was achieved through the application of life cycle assessment (LCA), a tool used to discern the primary factors influencing VOCs emissions and to identify potential avenues for VOCs emissions reduction. The analysis revealed that BT exhibited the highest emission intensity (5.58E-04 tons/ton), followed by ED (4.89E-04 tons/ton), YL (4.23E-04 tons/ton), XJ (2.94E-04 tons/ton), and SM (1.74E-04 tons/ton). Among these enterprises, coal-to-olefins enterprises predominantly discharged VOCs via sewage treatment (average 69.12%), while coal-to-methanol enterprises primarily emitted VOCs during circulating water cooling (40.02%). In coal-to-oil enterprises, storage and blending emerged as the principal source of VOCs emissions (56.83%). As a result, this study advocates that coal chemical enterprises concentrate on curbing VOCs emissions from highly concentrated wastewater, regulating the concentration of purgeable organic carbon in circulating water cooling systems, and instituting effective treatment methods for methanol storage tank emissions. These findings proffer invaluable insights for devising VOCs control measures in regions affected by intensive coal chemical production.
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Affiliation(s)
- Shujie Zhao
- College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, China
| | - Weichao Duan
- Qingdao Oasis Environmental & Safety Technology Co., Ltd, Qingdao, 266580, China
| | - Ning Cui
- Qingdao Oasis Environmental & Safety Technology Co., Ltd, Qingdao, 266580, China
| | - Dongfeng Zhao
- College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, China.
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Yang P, Liu L, Suo Y, Qu H, Xie G, Zhang C, Deng S, Lv Y. Investigating the synergistic effects of magnesia-coal slag based solid waste cementitious materials and its basic characteristics as a backfill material. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 880:163209. [PMID: 37001664 DOI: 10.1016/j.scitotenv.2023.163209] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 03/18/2023] [Accepted: 03/28/2023] [Indexed: 05/27/2023]
Abstract
Applying solid waste resources as backfill material can reduce both the cost of backfill and the environmental problems caused by solid waste landfills. In this paper, the synergistic reaction effects of solid waste modified magnesia slag (MMS), coal gasification slag (CGS), and desulfurized gypsum (DG) as magnesium-coal slag based cementitious materials (MCC) and their preliminary feasibility as mining cementitious materials in synergy with coal gangue for the preparation of backfill materials are investigated. The results show that the order of the compressive strength of the cementitious systems is ternary system > binary system > monolithic system, which proves the existence of synergistic effect among MMS, CGS, and DG and determines the optimal dosing of each raw material in the ternary system. At early ages, the physical effect of CGS and the chemical effect of DG in the ternary system can promote the hydration reaction of MMS, but the synergistic effect between the three is weak; At later ages, a synergistic effect occurred among silica-aluminate depolymerization in CGS, dissolved sulfate from DG and hydration products from MMS, which promoted the production of more hydration products calcium-silicate(aluminum)-hydrate (C-S(A)-H) and AFt, and improved the compressive strength. In addition, the strength, fluidity and leaching of the backfill material prepared by MCC in collaboration with coal gangue can meet the preliminary feasibility for mine backfill. In the present work, the full solid waste MCC is developed to completely replace cement and use it to prepare backfill materials, which is of great importance to the comprehensive utilization of bulk solid waste, the reduction of backfill costs, and the enhancement of the economic and ecological interests of mines.
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Affiliation(s)
- Pan Yang
- Energy School, Xi'an University of Science and Technology, Xi'an 710054, China.
| | - Lang Liu
- Energy School, Xi'an University of Science and Technology, Xi'an 710054, China; Key Laboratory of Western Mines and Hazards Prevention, Ministry of Education of China, Xi'an 710054, China.
| | - Yonglu Suo
- Energy School, Xi'an University of Science and Technology, Xi'an 710054, China; Key Laboratory of Western Mines and Hazards Prevention, Ministry of Education of China, Xi'an 710054, China
| | - Huisheng Qu
- Energy School, Xi'an University of Science and Technology, Xi'an 710054, China
| | - Geng Xie
- Energy School, Xi'an University of Science and Technology, Xi'an 710054, China
| | - Caixin Zhang
- Energy School, Xi'an University of Science and Technology, Xi'an 710054, China.
| | - Shunchun Deng
- Energy School, Xi'an University of Science and Technology, Xi'an 710054, China.
| | - Yin Lv
- Energy School, Xi'an University of Science and Technology, Xi'an 710054, China.
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Meng X, Jiang J, Chen T, Zhang Z, Lu B, Liu C, Xue L, Chen J, Herrmann H, Li X. Chemical drivers of ozone change in extreme temperatures in eastern China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 874:162424. [PMID: 36868278 DOI: 10.1016/j.scitotenv.2023.162424] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 02/14/2023] [Accepted: 02/19/2023] [Indexed: 06/18/2023]
Abstract
Surface ozone pollution has become the biggest issue in China's air pollution since particulate matters have been improved in the atmosphere. Compared with normal winter/summer, extremely cold/hot weather sustained several days and nights by unfavorable meteorology is more impactful in this regard. However, ozone changes in extreme temperatures and their driving processes remain rarely understood. Here, we combine comprehensive observational data analysis and 0-D box models to quantify the contributions of different chemical processes and precursors to ozone change in these unique environments. Analyses of radical cycling indicate that temperature accelerates OH-HO2-RO2, optimizing ozone production efficiency in higher temperatures. The HO2 + NO → OH + NO2 reaction was the most influenced by temperature change, followed by OH + VOCs → HO2/RO2. Although most reactions in ozone formation increased with temperature, the increase in ozone production rates was greater than the rate of ozone loss, leading to a fast net ozone accumulation in heat waves. Our results also show that the ozone sensitivity regime is VOC-limited in extreme temperatures, highlighting the significance of volatile organic compound (VOC) control (particularly the control of alkenes and aromatics). In the context of global warming and climate change, this study helps us deeply understand ozone formation in extreme environments and design abatement policies for ozone pollution in such conditions.
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Affiliation(s)
- Xue Meng
- Department of Environmental Science & Engineering, Fudan University, Shanghai, China
| | - Jiakui Jiang
- Department of Environmental Science & Engineering, Fudan University, Shanghai, China
| | - Tianshu Chen
- Environmental Research Institute, Shandong University, Shandong, China
| | - Zekun Zhang
- Department of Environmental Science & Engineering, Fudan University, Shanghai, China
| | - Bingqing Lu
- Department of Environmental Science & Engineering, Fudan University, Shanghai, China
| | - Chao Liu
- Department of Environmental Science & Engineering, Fudan University, Shanghai, China
| | - Likun Xue
- Environmental Research Institute, Shandong University, Shandong, China
| | - Jianmin Chen
- Department of Environmental Science & Engineering, Fudan University, Shanghai, China
| | - Hartmut Herrmann
- Leibniz-Institut für Troposphärenforschung (IfT), Permoserstr. 15, Leipzig, Germany
| | - Xiang Li
- Department of Environmental Science & Engineering, Fudan University, Shanghai, China.
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Hua J, Cui Y, Guo L, Li H, Fan J, Li Y, Wang Y, Liu K, He Q, Wang X. Spatial characterization of HCHO and reapportionment of its secondary sources considering photochemical loss in Taiyuan, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 865:161069. [PMID: 36584945 DOI: 10.1016/j.scitotenv.2022.161069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 11/28/2022] [Accepted: 12/16/2022] [Indexed: 06/17/2023]
Abstract
Formaldehyde (HCHO) plays an important role in atmospheric ozone (O3) formation. To accurately identify the sources of HCHO, carbonyls and volatile organic compounds (VOCs) were measured at three urban sites (Taoyuan, TY-U; Jinyuan, JY-U; Xiaodian, XD-U) and a suburban site (Shanglan, SL-B) in Taiyuan during a high O3 period (from July 20 to August 3, 2020). The average mixing ratio of HCHO at XD-U (8.1 ± 2.8 ppbv) was comparable to those at TY-U (7.4 ± 2.1 ppbv) and JY-U (7.0 ± 2.3 ppbv) but higher (p < 0.01) than that at SL-B (4.9 ± 2.3 ppbv). HCHO contributed to 54.3-59.9 % of the total ozone formation potentials (OFPs) of non-methane hydrocarbons (NMHCs) at four sites. The diurnal variation of HCHO concentrations reached a peak value at 12:00-15:00, which may be attributed to the strong photochemical reaction. To obtain more accurate source results of HCHO under the condition of photochemical loss, the initial concentrations of NMHCs were estimated based on photochemical age parameterization and incorporated into the positive matrix factorization (PMF) model (termed IC-PMF). According to the IC-PMF results, secondary formation (SF) contributed the most to HCHO at XD-U (35.6 %) and SL-B (25.1 %), whereas solvent usage (SU) (40.9 %) and coking sources (CS) (36.0 %) were the major sources at TY-U and JY-U, respectively. Compared to the IC-PMF, the conventional PMF analysis based on the observed data underestimated the contributions of SU (100.5-154.2 %) and biogenic sources (BS) (28.5-324.7 %). Further reapportionment of secondary HCHO by multiple linear regression indicated that SU dominated the sources of HCHO at SL-B (28.3 %) and TY-U (41.7 %), while industrial emissions (IE) and CS contributed the most to XD-U (26.6 %) and JY-U (43.0 %) in Taiyuan from north to south, respectively.
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Affiliation(s)
- Jingya Hua
- School of Environment and Resources, Taiyuan University of Science and Technology, Taiyuan 030024, China
| | - Yang Cui
- School of Environment and Resources, Taiyuan University of Science and Technology, Taiyuan 030024, China.
| | - Lili Guo
- School of Environment and Resources, Taiyuan University of Science and Technology, Taiyuan 030024, China
| | - Hongyan Li
- School of Environment and Resources, Taiyuan University of Science and Technology, Taiyuan 030024, China
| | - Jie Fan
- School of Environment and Resources, Taiyuan University of Science and Technology, Taiyuan 030024, China
| | - Yanan Li
- School of Environment and Resources, Taiyuan University of Science and Technology, Taiyuan 030024, China
| | - Yonghong Wang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
| | - Kankan Liu
- School of Environment and Safety Engineering, North University of China, Taiyuan 030051, China
| | - Qiusheng He
- School of Environment and Resources, Taiyuan University of Science and Technology, Taiyuan 030024, China
| | - Xinming Wang
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
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Liu Y, Qiu P, Xu K, Li C, Yin S, Zhang Y, Ding Y, Zhang C, Wang Z, Zhai R, Deng Y, Yan F, Zhang W, Xue Z, Sun Y, Ji D, Li J, Chen J, Tian H, Liu X, Zhang Y. Analysis of VOC emissions and O 3 control strategies in the Fenhe Plain cities, China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 325:116534. [PMID: 36419282 DOI: 10.1016/j.jenvman.2022.116534] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 09/23/2022] [Accepted: 10/12/2022] [Indexed: 06/16/2023]
Abstract
Long-term continuous hourly measurements of ambient volatile organic compounds (VOCs) are scarce at the regional scale. In this study, a one-year hourly measurement campaign of VOCs was performed in Lvliang, Linfen, and Yuncheng in the heavily polluted Fenhe Plain region in China. The VOC average (±standard deviation, std) concentrations in Lvliang, Linfen, and Yuncheng were 44.4 ± 24.9, 45.7 ± 24.9, and 37.5 ± 25.0 ppbv, respectively. Compared to published data from the past two decades in China, the observed VOCs were at high concentration levels. VOCs in the Fenhe Plain cities were significantly impacted by industrial sources according to calculated emission ratios but were less affected by liquefied petroleum gas and natural gas (LPG/NG) and traffic emissions than those in megacities abroad. The emission inventories and observation data were combined for verification and identification of the key VOC species and sources controlling ozone (O3). Industrial emissions were the largest source of VOCs, accounting for 65%-79% of the total VOC emissions, while the coking industry accounted for 45.2%-66.0%. The emission inventories significantly underestimated oxygenated VOC (OVOC) emissions through the verification of VOC emission ratios. O3 control scenarios were analyzed by changing VOC/NOX reduction ratios through a photochemical box model. O3 control strategies were formulated considering local pollution control plans, emission inventories, and O3 formation regimes. The O3 reduction of reactivity-control measures was comparable with emission-control measures, ranging from 16% to 41%, which was contrary to the general perception that ozone formation potential (OFP)-based measures were more efficient for O3 reduction. Sources with high VOC emissions are accompanied by high OFP on the Fenhe Plain, indicating that the control of high-emission sources can effectively mitigate O3 pollution on this region.
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Affiliation(s)
- Yafei Liu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Peipei Qiu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
| | - Kai Xu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Chenlu Li
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Shijie Yin
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Yunjun Zhang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Yu Ding
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Chen Zhang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Zheng Wang
- Yuncheng Municipal Ecological Environment Bureau, Yuncheng, 044000, China
| | - Ruixiao Zhai
- Yuncheng Municipal Ecological Environment Bureau, Yuncheng, 044000, China
| | - Yijun Deng
- Yuncheng Municipal Ecological Environment Bureau, Yuncheng, 044000, China
| | - Fengyu Yan
- Yuncheng Municipal Ecological Environment Bureau, Yuncheng, 044000, China
| | - Wenjie Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Zhigang Xue
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Yele Sun
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
| | - Dongsheng Ji
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
| | - Jie Li
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
| | - Jing Chen
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Hezhong Tian
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Xingang Liu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China.
| | - Yuanhang Zhang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China.
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