Study of SO2 and NOx Distribution and Emission in Tangshan Based on Mobile DOAS Techniques
ZHANG Zhi-dong1, 2, XIE Pin-hua1, 2, 3*, LI Ang2, QIN Min2, FANG Wu2, DUAN Jun2, HU Zhao-kun2, TIAN Xin4LÜ Yin-sheng1, 2, REN Hong-mei2, REN Bo1, 2, HU Feng1, 2
1. School of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei 230026, China
2. Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China
3. CAS Center for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
4. Institutes of Physical Science and Information Technology, Anhui University, Hefei 230039, China
Abstract:Sulfur dioxide (SO2) and nitrogen oxides (NOx) as important primary emissions in the atmosphere. Anthropogenic activities of SO2 and NOx excessive emissions will cause great harm to the ecological environment and human health, in 2018 the Ministry of Environmental Protection “Announcement on the implementation of special emission limits for air pollutants in cities in the Beijing-Tianjin-Hebei air pollution transmission corridor” on the “2+26” cities need to implement special emission limits for SO2, NOx and other air pollutants, so it is important to understand the distribution and emission of SO2 and NOx in these cities for air pollution prevention and control. As one of the heavy industrial cities with the most serious air pollution among the “2+26” cities, Tangshan City has implemented many air pollution prevention and control measures in recent years, but the air quality is still not optimistic. Therefore, in order to obtain the time and space distribution of the main pollutants in the urban area of Tangshan City, to quantitatively analyze the emissions of different regional sources, and to identify the sources of the main pollutants, a mobile pollution gas monitoring system based on mobile DOAS techniques was used from February 26 to March 1, 2021, to conduct aerial observation experiments for the urban area of Tangshan City and some industrial parks (steel, thermoelectric and coking enterprises) to obtain the Spatial distribution of NOx and SO2 along its course and the emission fluxes in the moving area. The experimental results show several areas with high NO2 values in the first ring of Tangshan City, all of which are located at interchanges and junctions where vehicles are concentrated. The NO2 and SO2VCD obtained in the walkway of the industrial park are both higher, 1.75~1.99 times and 2.21~3.44 times higher than those of the first ring, respectively, and there are high NO2 and SO2 emissions from some enterprises in the industrial park. Combining the ratio of vertical column concentration SO2/NO2 and the ratio of near-ground concentration CO/NO2 and using the Pearson correlation coefficient to determine the correlation between SO2 and NO2 column concentration and NO2 near-ground concentration and column concentration, further analyzing the main pollution sources in different areas, the results show that the lowest SO2/NO2 obtained by the first ring walkway is 0.42, CO/NO2. The highest correlation r between NO2 surface and column concentrations reached 0.56. The highest SO2/NO2 and lowest CO/NO2 was 0.81 and 7.13 in the March 1 aerial walk in Fengnan Industrial Park, with a good correlation r between SO2 and NO2VCD of 0.787. The air pollutants in the first ring area of Tangshan City are mainly vehicular traffic exhaust emissions. The sources of air pollutants in the Fengnan Industrial Park are dominated by a large amount of NO2 and SO2 released from elevated point sources (chimneys) during industrial production.
张之栋,谢品华,李 昂,秦 敏,方 武,段 俊,胡肇焜,田 鑫,吕寅生,任红梅,任 博,胡 峰. 基于车载差分吸收光谱技术的唐山SO2和NOx污染分布及排放研究[J]. 光谱学与光谱分析, 2023, 43(05): 1651-1660.
ZHANG Zhi-dong, XIE Pin-hua, LI Ang, QIN Min, FANG Wu, DUAN Jun, HU Zhao-kun, TIAN XinLÜ Yin-sheng, REN Hong-mei, REN Bo, HU Feng. Study of SO2 and NOx Distribution and Emission in Tangshan Based on Mobile DOAS Techniques. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1651-1660.
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