文章编号： ：1672-5328（2019）02-0001-12

汪光焘1, 2，李昂3，胡肇焜3
(1.同济大学，上海201804；2.国际欧亚科学院中国科学中心，北京100107；3.中国科学院安徽光学精密机械研 究所，中国科学院环境光学与技术重点实验室，安徽合肥230031)

摘要： 固定燃烧源、工业过程源等固定污染源排放清单(以下简称“源清单”)的建立方法学不断完 善，在整体源清单研究中，道路移动源污染问题日益突出。通过车载紫外可见光谱遥测技术耦合精 细三维风场数据实现高时空分辨率的源清单获取，为高时空分辨率源清单提供一种基于地基光学遥 测的获取和校验方法，有效弥补源清单获取手段上的不足。该方法是基于车载光学遥测技术的道路 移动源氮氧化物(NOX)排放定量表征方法研究的基础。选择北京市五环路内快速路网开展对比研 究，对比不同的技术路线获取NOX 污染源排放的差异。同现有源清单相比，在[116.37~116.49， 39.89~39.94]范围内9 km×9 km空间分辨下NOX排放相关性R2为0.69。

关键词： 大气污染；大气光学；车载差分吸收光谱；道路移动源

中图分类号： U491.9

文献标识码：A

Mobile NOX Emission Characteristics Study by Optical Telemetry

Wang Guangtao1, 2, Li Ang3, Hu Zhaokun3
(1.Tongji University, Shanghai 201804, China; 2.China Science Center of International Eurasian Academy of Sciences, Beijing 100107, China; 3.Key Laboratory of Environment Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei Anhui 230031, China)

Abstract： As the emission amount from the fixed sources such as stationary combustion sources and industrial process being estimated more accurately, assessing roadway transportation mobile pollution sources has become increasingly prominent for the overall emission inventory study. This paper introduces an emission characteristics study based on the vehicle UV- visible spectroscopy telemetry technology with fine three-dimensional wind data to achieve high-temporal resolution inventory list. This method is verified by the data from the ground-based optical telemetry, which effectively compensates inadequacy shortcomings in the current pollution source measurement practice. The method will be the basis for the research on the quantitative characterization method of NOX emissions from road mobile sources based on vehicle optical telemetry. The roadway network inside Beijing Fifth Ring expressway was selected for comparative research to compare the NOX emissions from different estimation methods. Compared with the existing emission inventory, the NOX emission correlation R2 is 0.69 in the spatial resolution of 9 km×9 km within the range of [116.37~116.49, 39.89~39.94].

Keywords： air pollution; atmospheric optics; mobile differential optical absorption spectroscopy; road moving emission