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Wang H, Zhou J, Li X, Ling Q, Wei H, Gao L, He Y, Zhu M, Xiao X, Liu Y, Li S, Chen C, Duan G, Peng Z, Zhou P, Duan Y, Wang J, Yu T, Yang Y, Wang J, Zhou Z, Gui H, Ding Y. Review on recent progress in on-line monitoring technology for atmospheric pollution source emissions in China. J Environ Sci (China) 2023; 123:367-386. [PMID: 36521999 DOI: 10.1016/j.jes.2022.06.043] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 06/27/2022] [Accepted: 06/30/2022] [Indexed: 06/17/2023]
Abstract
Emissions from mobile sources and stationary sources contribute to atmospheric pollution in China, and its components, which include ultrafine particles (UFPs), volatile organic compounds (VOCs), and other reactive gases, such as NH3 and NOx, are the most harmful to human health. China has released various regulations and standards to address pollution from mobile and stationary sources. Thus, it is urgent to develop online monitoring technology for atmospheric pollution source emissions. This study provides an overview of the main progress in mobile and stationary source monitoring technology in China and describes the comprehensive application of some typical instruments in vital areas in recent years. These instruments have been applied to monitor emissions from motor vehicles, ships, airports, the chemical industry, and electric power generation. Not only has the level of atmospheric environment monitoring technology and equipment been improving, but relevant regulations and standards have also been constantly updated. Meanwhile, the developed instruments can provide scientific assistance for the successful implementation of regulations. According to the potential problem areas in atmospheric pollution in China, some research hotspots and future trends of atmospheric online monitoring technology are summarized. Furthermore, more advanced atmospheric online monitoring technology will contribute to a comprehensive understanding of atmospheric pollution and improve environmental monitoring capacity.
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Affiliation(s)
- Huanqin Wang
- State Key Laboratory of Transducer Technology, Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; Department of Automation, University of Science and Technology of China, Hefei 230027, China
| | - Jitong Zhou
- State Key Laboratory of Transducer Technology, Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; Department of Automation, University of Science and Technology of China, Hefei 230027, China
| | - Xue Li
- Institute of Mass Spectrometry and Atmospheric Environment, Jinan University, Guangzhou 510632, China
| | - Qiang Ling
- Department of Automation, University of Science and Technology of China, Hefei 230027, China
| | - Hongyuan Wei
- China Automotive Technology and Research Center, Tianjin 300300, China
| | - Lei Gao
- Institute of Solid State Physics, Chinese Academy of Sciences, Hefei 230031, China
| | - Ying He
- Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
| | - Ming Zhu
- School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Xiao Xiao
- School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Youjiang Liu
- State Key Laboratory of Transducer Technology, Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
| | - Shan Li
- State Key Laboratory of Transducer Technology, Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
| | - Chilai Chen
- State Key Laboratory of Transducer Technology, Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; Department of Automation, University of Science and Technology of China, Hefei 230027, China
| | - Guotao Duan
- School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Zhimin Peng
- State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
| | - Peili Zhou
- State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
| | - Yufeng Duan
- Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
| | - Jianbing Wang
- School of Chemical and Environmental Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
| | - Tongzhu Yu
- Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
| | - Yixin Yang
- Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
| | - Jiguang Wang
- China Automotive Technology and Research Center, Tianjin 300300, China
| | - Zhen Zhou
- Institute of Mass Spectrometry and Atmospheric Environment, Jinan University, Guangzhou 510632, China
| | - Huaqiao Gui
- Department of Automation, University of Science and Technology of China, Hefei 230027, China; Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China; CAS Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.
| | - Yanjun Ding
- State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China.
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Liu J, Bai L, Duan Y, Zhao S, Huang T, Luo Z, Hua M. Continuous Generation of HgCl 2 by DBD Nonthermal Plasma. Part I: Influences of the DBD Reactor Structure and Operational Parameters. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.0c02466] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Jiang Liu
- Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
| | - Liyi Bai
- China Datang Corporation Science & Technology Research Institute Hydropower Branch, Nanning 530007, China
| | - Yufeng Duan
- Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
| | - Shilin Zhao
- School of Energy Science and Engineering, Central South University, Changsha 410083, China
| | - Tianfang Huang
- Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
| | - Zhengkang Luo
- Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
| | - Ming Hua
- Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
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Liu J, Bai L, Duan Y, Zhao S, Huang T, Luo Z, Hua M. Continuous Generation of HgCl 2 by Dielectric Barrier Discharge Nonthermal Plasma. Part II: Influences of the Cl Source. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.0c02493] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Jiang Liu
- Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
| | - Liyi Bai
- China Datang Corporation Science & Technology Research Institute Hydropower Branch, Nanning 530007, China
| | - Yufeng Duan
- Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
| | - Shilin Zhao
- School of Energy Science and Engineering, Central South University, Changsha 410083, China
| | - Tianfang Huang
- Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
| | - Zhengkang Luo
- Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
| | - Ming Hua
- Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
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Górecki J, Burmistrz P, Trzaskowska M, Sołtys B, Gołaś J. Method development and validation for total mercury determination in coke oven gas combining a trap sampling method with CVAAS detection. Talanta 2018; 188:293-298. [PMID: 30029379 DOI: 10.1016/j.talanta.2018.05.098] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Revised: 05/27/2018] [Accepted: 05/30/2018] [Indexed: 11/17/2022]
Abstract
Coke oven gas is one of the by-products of the coal coking process. It is used as a fuel in the coking plant, but also as a raw material in the chemical industry to produce methanol, syngas or environment-friendly, low-CO2 hydrogen fuel. Due to the reasons mentioned above, the knowledge of coke oven gas pollutants such as mercury is a key issue. To determine the mercury in the cleaned coke oven gas a trap sampling method combined with CVAAS mercury detection was developed, optimized and validated. In order to perform the sampling process the traps filled with activated carbon were used. The determination of mercury in the traps material was performed by means of an MA-2 mercury analyzer. During the optimization of the method one selected the trap material, sample volume and flow rate. The optimal volume of the coke oven gas sample was 3 dm3 and the flow rate was 18 dm3/h (per one trap). The developed method was validated according to the Eurachem recommendation and was applied to determine mercury in the clean coke oven gas. The coke oven gas sampling was performed in a coking plant in Poland. The average concentration of mercury in the clean coke oven gas was 3.2 ± 0.3 μg/m3N (k = 2) for n = 18.
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Affiliation(s)
- Jerzy Górecki
- Department of Coal Chemistry and Environmental Sciences, AGH - University of Science and Technology in Kraków, al. A. Mickiewicza 30, 30-059 Kraków, Poland.
| | - Piotr Burmistrz
- Department of Fuel Technology, Faculty of Energy and Fuels, AGH - University of Science and Technology in Kraków, al. A. Mickiewicza 30, 30-059 Kraków, Poland
| | - Marlena Trzaskowska
- Department of Coal Chemistry and Environmental Sciences, AGH - University of Science and Technology in Kraków, al. A. Mickiewicza 30, 30-059 Kraków, Poland
| | - Barbara Sołtys
- Department of Coal Chemistry and Environmental Sciences, AGH - University of Science and Technology in Kraków, al. A. Mickiewicza 30, 30-059 Kraków, Poland
| | - Janusz Gołaś
- Department of Coal Chemistry and Environmental Sciences, AGH - University of Science and Technology in Kraków, al. A. Mickiewicza 30, 30-059 Kraków, Poland
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