城市对流层NO2多轴差分吸收光谱监测

Marilia M. F. de Oliveira, N. Ebecken, J. L. F. D. Oliveira, José Castro
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引用次数: 0

摘要

光谱方法在研究与大气组成有关的化学和物理过程中起着重要的作用,而微分光学吸收光谱(DOAS)已成为测量各种微量气体的最有力的方法之一。污染物是通过它们各自的波长范围来识别的,这些波长范围必须事先知道。提出了一种利用太阳辐射400 ~ 480nm紫外波段的无源微分吸收光谱系统。本研究采用MAX-DOAS多视角系统对里约热内卢市区污染物浓度进行遥感监测,测量NO2的日变化。这个乐器被放置在一座面向城市中心的建筑物的屋顶上。利用DOAS技术从测量光谱中获取对流层NO2量。在本文中,我们对程序进行了一般描述,并介绍了2017年冬季四天与主要气象方面相关的测量结果。这些天的特点是大部分时间晴朗干燥,没有对流,偶尔有中云和晴朗的天空。在5º、10º和15º三个仰角下,得到了对流层NO2斜柱密度值,结果一致。结果证明了MAX-DOAS技术在获取城市环境中NO2空间分布信息方面的能力和潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tropospheric NO2 Monitoring Using the Multi-Axis Differential Optical Absorption Spectroscopy in Urban Area
Spectroscopic methods have played an important role in the study of chemical and physical processes related to the composition of the atmosphere and the differential optical absorption spectroscopy (DOAS) has been one of the most powerful methods to measure a wide range of trace gases. The pollutants are identified by their respective ranges of wavelengths that must be previously known. A Passive Differential Optical Absorption Spectroscopy system that uses the ultraviolet region from 400 to 480 nm of the solar radiation is presented. In this research diurnal variation of NO2 was remotely measured by means of MAX-DOAS system which uses multiple viewing angles to monitor pollutant concentrations in urban area at the city of Rio de Janeiro. The instrument was placed on the roof of a building oriented to the center of the city. Tropospheric NO2 amounts are retrieved from the measured spectra using the DOAS technique. In this paper we give a general description of the procedure and present the results from measurements during four days in winter 2017 associated with the prevailing meteorological aspects. These days were characterized by mostly sunny and dry conditions, no convection, periods of medium clouds and clear sky. The tropospheric NO2 slant column densities values are presented and the results are consistent for all three used elevation angles (5º, 10º, and 15º). The results demonstrate the capability and the potential of the MAX-DOAS technique to derive information on spatial distribution of NO2 in an urban environment.
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