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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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Yang X, Chong Z, Ma C, Wang G, Yan C. Anemia - an initial manifestation of Bing-Neel syndrome: A case report. Medicine (Baltimore) 2022; 101:e31239. [PMID: 36401435 PMCID: PMC9678614 DOI: 10.1097/md.0000000000031239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Abstract
RATIONALE It is very likely that we will miss Bing-Neel syndrome (BNS) when its initial sign is anemia.Patient concerns: A 59-year-old woman presented with episodic loss of consciousness, anemia, and extremity muscle strength scores (5-) and extremity tendon reflexes (++). DIAGNOSES Magnetic Resonance Imaging (MRI) showed abnormal signal in the left hippocampus, left insula, and right occipital lobe. Quantitative serum immunoglobulins showed elevated immunoglobulinm (IgM) (60.6g/L). Bone marrow biopsy showed lymphoplasmacytic lymphoma (LPL) and tested positive for the MYD88 L265P mutation suggesting Waldenström macroglobulinemia (WM). INTERVENTIONS The patient underwent 3 plasma exchange treatments in the department of hematology followed by chemotherapy (cyclophosphamide for injection, bortezomib for injection). OUTCOMES The patient's condition improved after treatment. LESSONS Clinicians must remain vigilant, as BNS may be the only sign of WM progression in a patient well-controlled on treatment.
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Affiliation(s)
- Xiaoqian Yang
- Department of Neurology, Liaocheng People’s Hospital, Shandong, China
| | - Zonglei Chong
- Department of Hematology, Liaocheng People’s Hospital, Shandong, China
| | - Congcong Ma
- Department of Neurosurgery, Liaocheng People’ s Hospital, Shandong, China
| | - Guifang Wang
- Department of Neurology, Liaocheng People’s Hospital, Shandong, China
- * Correspondence: Guifang Wang and Chunxia Yan, Department of Neurology, Liaocheng People’s Hospital, No. 45, Huashan Road, Economic Development Zone, Liaocheng 252000, Shandong, China (e-mail: )
| | - Chunxia Yan
- Department of Neurology, Liaocheng People’s Hospital, Shandong, China
- * Correspondence: Guifang Wang and Chunxia Yan, Department of Neurology, Liaocheng People’s Hospital, No. 45, Huashan Road, Economic Development Zone, Liaocheng 252000, Shandong, China (e-mail: )
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Zhang Z, Chang J, Sun J, Zhang Q, Fan Y. Dual-logarithmic demodulation method application in a wide gas optical thickness range. APPLIED OPTICS 2021; 60:8206-8212. [PMID: 34613085 DOI: 10.1364/ao.433294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 08/15/2021] [Indexed: 06/13/2023]
Abstract
Direct absorption spectroscopy (DAS) is an extremely practical and effective technology to detect gas concentration in site applications. Dual-beam subtraction is one of the most common demodulation methods in DAS, yet this method cannot solve the problem of absolute absorption curve nonlinearization in a wide optical thickness range. A real-time and practical dual-logarithmic demodulation method is proposed and proved to be robust when the optical thickness is much greater than linear region. Moreover, the error of optical thickness peak is only 1.18% between the dual-logarithmic demodulation system and simulation after correcting the dual-beam subtraction demodulation system under a 300 K, 1 atm, and 3 m absorption path. When the range of optical thickness peak of acetylene is from 0.0252 to 2.5335 at 1532.83 nm, the peak voltages always maintain satisfactory linearity (R-square=0.9989).
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