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Retrieval and Regional Distribution Analysis of Ammonia, Sulfur Dioxide and Nitrogen Dioxide in the Urban Environment Using Ultraviolet DOAS Algorithm

Hao Chen1, Jie Xu1, Yibo Hu1, Fuzhou Niu1,*, Zhiyan Li2, Dan Wang2, Guizhong Fu1, Chuanxin Li3,*

1 School of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou, 215009, China
2 Department of Optoelectronic Engineering, School of Mathematics and Physics, Anhui University of Technology, Ma'an Shan, 243032, China
3 Hefei Qifeng Photoelectric Technology Co., Ltd., Hefei, 230000, China

* Corresponding Authors: Fuzhou Niu. Email: email; Chuanxin Li. Email: email

(This article belongs to the Special Issue: Advanced Intelligent Decision and Intelligent Control with Applications in Smart City)

Computer Modeling in Engineering & Sciences 2023, 134(2), 1251-1262. https://doi.org/10.32604/cmes.2022.022279

Abstract

Aiming at the in situ and mobile observation of urban environmental air pollution, a portable instrument using ultraviolet spectrum retrieval algorithm was developed based on the basis of Differential Optical Absorption Spectroscopy (DOAS) and multiple-pass cell technique. Typical trace gas pollutants, NH3, SO2, and NO2, were explored using their optical spectral characteristics in deep ultraviolet wavelength range from 210 to 215 nm. The gas concentration was retrieved by Lambert-Beer's law and nonlinear least square method. With an optimized optical alignment, the detection limits of NH3, SO2, NO2 were estimated to be 2.2, 2.3, and 36.2 ppb, respectively. The system was used in carrying out some cruise observations in Chengdu, China. During the entire period, the polluted gases showed varied distribution and typical daily average concentrations of NH3, SO2, NO2 were 23.2, 3.5, and 106.0 ppb, respectively. The contributions from different sources were analyzed combined with the HYSPLIT model. Results show that the portable DOAS system is a convenient and effective tool for regional distribution measurement and pollution source monitoring.

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APA Style
Chen, H., Xu, J., Hu, Y., Niu, F., Li, Z. et al. (2023). Retrieval and regional distribution analysis of ammonia, sulfur dioxide and nitrogen dioxide in the urban environment using ultraviolet DOAS algorithm. Computer Modeling in Engineering & Sciences, 134(2), 1251-1262. https://doi.org/10.32604/cmes.2022.022279
Vancouver Style
Chen H, Xu J, Hu Y, Niu F, Li Z, Wang D, et al. Retrieval and regional distribution analysis of ammonia, sulfur dioxide and nitrogen dioxide in the urban environment using ultraviolet DOAS algorithm. Comput Model Eng Sci. 2023;134(2):1251-1262 https://doi.org/10.32604/cmes.2022.022279
IEEE Style
H. Chen et al., “Retrieval and Regional Distribution Analysis of Ammonia, Sulfur Dioxide and Nitrogen Dioxide in the Urban Environment Using Ultraviolet DOAS Algorithm,” Comput. Model. Eng. Sci., vol. 134, no. 2, pp. 1251-1262, 2023. https://doi.org/10.32604/cmes.2022.022279



cc Copyright © 2023 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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