大气环境高灵敏光谱探测技术
|
摘要
大气环境高灵敏光谱探测技术是以光与环境相互作用为基础发展起来的学科交叉方向,使用光学的方法和手段来探知研究环境问题。大气环境高灵敏光谱探测技术能够实现从现场瞬态灵敏探测到污染时空分布等不同尺度的遥测,从而获得大气污染"点-线-面"的时空变化规律,由于光谱探测技术具有多组分、非接触、无采样、高灵敏度、大范围快速以及遥测等特点,已经成为国际上大气环境监测技术的主要方向之一。大气环境高灵敏光谱技术在污染源、工业园区、空气质量以及区域污染等监测方面都有很广泛的应用。针对化工园区复杂的环境污染问题,光谱探测技术可以高灵敏、非接触地获取多种污染物浓度特征,掌握化工园区污染时空分布状况,为化工园区的大气污染治理提供有效支撑;针对京津冀、长三角等地区大气重污染过程的核心问题,大气环境高灵敏光谱探测技术通过地基组网观测,车载/机载平台移动观测等三维立体监测手段获取重点区域污染物的生成、转化过程以及重污染过程的形成机制,为区域大气污染成因追溯、污染控制措施评估提供科学的数据和技术支撑。高灵敏光谱探测技术在大气环境领域的成功应用,为污染源、化工园区和重点区域的环境综合诊断和治理奠定了技术基础。
The high-sensitivity spectroscopic technique for atmospheric monitoring is an interdisciplinary subject developed by environmental science and optics. It based on the interaction between light and environment and was used to solve environmental problems. The high-sensitivity spectroscopic technique can monitor the temporal and spatial distribution of pollutants,and the evolution of pollutants. It has become one of the main development directions of environmental monitoring technology due to its characteristics of multi-component,non-contact,no-sampling,high sensitivity,large range and rapid monitoring. Facing the complex environmental pollution problem in the chemical park, the spectroscopic techniques can acquire the concentration distribution of various pollutants in a highly sensitive and non-contact manner,and it can master the pollution status of the chemical park and effectively provide the support for the air pollution control of the chemical park. Facing the problem of atmospheric heavy pollution in Beijing-Tianjin-Hebei and Yangtze River Delta regions,the spectroscopic techniques can be used to obtain the formation process,transformation process and formation mechanism of heavy pollution by ground-based observation network and on-board/airborne platform observation. The wide applications of high-sensitivity spectroscopic techniques have shown that spectroscopic techniques are very useful tools for comprehensive environmental management,e. g. chemical parks and regional air pollution.
The high-sensitivity spectroscopic technique for atmospheric monitoring is an interdisciplinary subject developed by environmental science and optics. It based on the interaction between light and environment and was used to solve environmental problems. The high-sensitivity spectroscopic technique can monitor the temporal and spatial distribution of pollutants,and the evolution of pollutants. It has become one of the main development directions of environmental monitoring technology due to its characteristics of multi-component,non-contact,no-sampling,high sensitivity,large range and rapid monitoring. Facing the complex environmental pollution problem in the chemical park, the spectroscopic techniques can acquire the concentration distribution of various pollutants in a highly sensitive and non-contact manner,and it can master the pollution status of the chemical park and effectively provide the support for the air pollution control of the chemical park. Facing the problem of atmospheric heavy pollution in Beijing-Tianjin-Hebei and Yangtze River Delta regions,the spectroscopic techniques can be used to obtain the formation process,transformation process and formation mechanism of heavy pollution by ground-based observation network and on-board/airborne platform observation. The wide applications of high-sensitivity spectroscopic techniques have shown that spectroscopic techniques are very useful tools for comprehensive environmental management,e. g. chemical parks and regional air pollution.
引文
[1]刘文清，陈臻懿，刘建国，等．环境污染与环境安全在线监测技术进展[J]．大气与环境光学学报，2015,10(2):82-92.
[2]刘文清，崔志成，董凤忠．环境污染监测的光学和光谱学技术[J]．光电子技术与信息，2002,15(5):1-12.
[3]刘建国，桂华侨，谢品华，等．大气灰霾监测技术研究进展[J]．大气与环境光学学报，2015,10(2):93-101.
[4] HONNINGER G,FRIEDEBURG C V,PLATT U. Multi axis differential optical absorption spectroscopy(MAX-DOAS)[J]. Atmospheric Chemical Physics,2004(4):231-254.
[5] CAMPBELL J R,WELTON E J,SPINHIRNE J D,et al. Micropulse lidar observations of tropospheric aerosols over northeastern South Africa during the ARREX and SAFARI 2000 dry season experiments[J]. J. Geophys. Res.-Atmos.,2003,108:8497.
[6]袁松，阚瑞峰，何亚柏，等．可调谐半导体激光吸收光谱中激光器温度补偿[J]．中国激光，2013,40(5):247-252.
[7] DAE W H,GWI S H,JIN S H,et al. Application of the open path FTIR with COL1SB to measurements of ozone and VOCs in the urban area[J]. Atmos. Environ.,2004,38(33):5567-5576.
[8] GROS,TESCHE,M,FREUDENTHALER V,et al. Characterization of Saharan dust,marine aerosols and mixtures of biomass burning aerosols and dust by means of multi-wavelength depolarization and Raman lidar measurements during SAMUM 2[J].Tellus. Series B:Chemical and Physical Meteorology,2011,63(4):706-724.
[9]陆思华，白郁华，张广山，等．大气中挥发性有机化合物(VOCs)的人为来源研究[J]．环境科学学报，2006,26(5):757-763.
[10] SCHEFF P A,WADDEN R A. Receptor modeling of volatile organ-ic compounds. 1. Emission inventory and validation[J].Environmental Science&Technology,1993,27(4):617-625.
[11]刘芮伶，黄晓锋，何凌燕，等．质子转移反应质谱在线测量大气挥发性有机物及来源研究:以深圳夏季为例[J]．环境科学学报，2012,32(10):2540-2547.
[12]唐孝炎，张远航，绍敏，等．大气环境化学[M]. 2版．北京:高等教育出版社，2006:252-261.
[13] WITTROCK F,OETJEN H,RICHTER A,et al. MAX-DOAS measurements of atmospheric trace gases in Ny-lesund-Radiative transfer studies and their application[J]. Atmospheric Chemistry and Physics,2004(4):955-966.
[14] FIETKAU S,MEDEKE T,RICHTER A,et al. Ground-based measurements of tropospheric and stratospheric bromine monoxide above Nairobi(1°S,36°E)[J]. Atmospheric Chemistry and Physics Discussions,2007(7):6527-6555.
[15] VANDAELE A C,FAYT C,HENDRICK F,et al. An intercomparison campaign of groundbased UV-visible measurements of NO2,BrO,and OClO slant columns. I. Methods of analysis and results for NO2[J]. Journal of Geophysical Research,2005,110,doi:10. 1029/2004JD005423.
[16] TIAN X,XIE P,XU J,et al. Ground-based MAX-DOAS observations of tropospheric formaldehyde and comparisons with CAMS model at a rural site near Beijing[J]. Atmospheric Chemistry and Physics Discussions,2018 doi:10. 5194/acp-2018-440.
[17] LI A,ZHANG J,XIE P,et al. Variation of temporal and spatial patterns of NO2in Beijing using OMI and mobile DOAS[J]. Science China Chemistry,2015,58(9):1367-1376.
[18] WU F,LI A,XIE P,et al. Emission flux measurement error with a mobile DOAS system and application to NOx flux observations[J]. Sensors,2017,17(2):231．
[2]刘文清，崔志成，董凤忠．环境污染监测的光学和光谱学技术[J]．光电子技术与信息，2002,15(5):1-12.
[3]刘建国，桂华侨，谢品华，等．大气灰霾监测技术研究进展[J]．大气与环境光学学报，2015,10(2):93-101.
[4] HONNINGER G,FRIEDEBURG C V,PLATT U. Multi axis differential optical absorption spectroscopy(MAX-DOAS)[J]. Atmospheric Chemical Physics,2004(4):231-254.
[5] CAMPBELL J R,WELTON E J,SPINHIRNE J D,et al. Micropulse lidar observations of tropospheric aerosols over northeastern South Africa during the ARREX and SAFARI 2000 dry season experiments[J]. J. Geophys. Res.-Atmos.,2003,108:8497.
[6]袁松，阚瑞峰，何亚柏，等．可调谐半导体激光吸收光谱中激光器温度补偿[J]．中国激光，2013,40(5):247-252.
[7] DAE W H,GWI S H,JIN S H,et al. Application of the open path FTIR with COL1SB to measurements of ozone and VOCs in the urban area[J]. Atmos. Environ.,2004,38(33):5567-5576.
[8] GROS,TESCHE,M,FREUDENTHALER V,et al. Characterization of Saharan dust,marine aerosols and mixtures of biomass burning aerosols and dust by means of multi-wavelength depolarization and Raman lidar measurements during SAMUM 2[J].Tellus. Series B:Chemical and Physical Meteorology,2011,63(4):706-724.
[9]陆思华，白郁华，张广山，等．大气中挥发性有机化合物(VOCs)的人为来源研究[J]．环境科学学报，2006,26(5):757-763.
[10] SCHEFF P A,WADDEN R A. Receptor modeling of volatile organ-ic compounds. 1. Emission inventory and validation[J].Environmental Science&Technology,1993,27(4):617-625.
[11]刘芮伶，黄晓锋，何凌燕，等．质子转移反应质谱在线测量大气挥发性有机物及来源研究:以深圳夏季为例[J]．环境科学学报，2012,32(10):2540-2547.
[12]唐孝炎，张远航，绍敏，等．大气环境化学[M]. 2版．北京:高等教育出版社，2006:252-261.
[13] WITTROCK F,OETJEN H,RICHTER A,et al. MAX-DOAS measurements of atmospheric trace gases in Ny-lesund-Radiative transfer studies and their application[J]. Atmospheric Chemistry and Physics,2004(4):955-966.
[14] FIETKAU S,MEDEKE T,RICHTER A,et al. Ground-based measurements of tropospheric and stratospheric bromine monoxide above Nairobi(1°S,36°E)[J]. Atmospheric Chemistry and Physics Discussions,2007(7):6527-6555.
[15] VANDAELE A C,FAYT C,HENDRICK F,et al. An intercomparison campaign of groundbased UV-visible measurements of NO2,BrO,and OClO slant columns. I. Methods of analysis and results for NO2[J]. Journal of Geophysical Research,2005,110,doi:10. 1029/2004JD005423.
[16] TIAN X,XIE P,XU J,et al. Ground-based MAX-DOAS observations of tropospheric formaldehyde and comparisons with CAMS model at a rural site near Beijing[J]. Atmospheric Chemistry and Physics Discussions,2018 doi:10. 5194/acp-2018-440.
[17] LI A,ZHANG J,XIE P,et al. Variation of temporal and spatial patterns of NO2in Beijing using OMI and mobile DOAS[J]. Science China Chemistry,2015,58(9):1367-1376.
[18] WU F,LI A,XIE P,et al. Emission flux measurement error with a mobile DOAS system and application to NOx flux observations[J]. Sensors,2017,17(2):231．
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |