Spatial-Temporal Variation of Tropospheric NO2 Concentration
in Pearl River Delta Based on EMI Observations

Abstract

Abstract: As one of the most dynamic urban economic circles in China, the Pearl River Delta has witnessed rapid economic development in recent years. At the same time, the prevention and control of local air pollution has attracted wide attention. Among the many means of air pollution monitoring, satellite remote sensing method has the advantages of wide observation range, ability for observation of many kinds of pollutants, sustainable observation, low cost and so on. EMI (Environmental trace gases monitoring instrument) is the first Chinese spaceborne atmosphere monitoring spectrometer, which loaded on GF-5 satellite launched on May 9, 2018. It has been widely used in monitoring spatial distribution and temporal change of atmospheric pollutants regional and global areas, and is of great significance for the control of air pollution as well as the research and development of Chinese satellite hyper-spectral remote sensing inversion algorithm. Based on EMI remote sensing data and satellite remote sensing products from University of Science and Technology of China, the spatial and temporal variation characteristics of tropospheric NO2 column concentration over Pearl River Delta region from January to August 2019 are analyzed in this work. The results show that: (1) From January to August 2019, the concentration of tropospheric NO2 column over Pearl River Delta region presents a concave pattern as a whole, showing a decreasing trend from January to June, and an increasing trend from July to August. (2) The main NO2 pollution sources over Pearl River Delta are concentrated in the central part of FoShan city and the coastal areas along the Pearl River estuary. From January to August, the center of NO2 source gradually moved from central Foshan to Shenzhen and the Hong Kong. (3) There is a positive correlation between the concentration distribution of tropospheric NO2 column over Pearl River Delta region and the economic status, industrial structure, the number of permanent residents and the number of motor vehicles. Among them, the city’s overall economic status and the proportion of the secondary industry have a great influence on the concentration of tropospheric NO2 column. Therefore, attention should be paid to the development of local economy and the optimization of industrial structure in the prevention and control of air pollution

Key words: satellite spectrum remote sensing, environmental trace gases monitoring instrument, tropospheric NO2 concentration, Pearl River Delta

CLC Number:

X87
X511

WANG Xiaohan, XU Yizhou, ZHANG Chengxin∗, WU Yue, SUN Zhongping, LIU Cheng, . Spatial-Temporal Variation of Tropospheric NO2 Concentration in Pearl River Delta Based on EMI Observations[J]. Journal of Atmospheric and Environmental Optics, 2021, 16(3): 197-206.

References 15

[1]	Atkinson R. Atmospheric chemistry of VOCs and NOx [J]. Atmospheric Environment, 2000, 34(12-14): 2063-2101.
[2]	Crutzen J P. The Role of NO and NO2 in the chemistry of the troposphere and stratosphere [J]. Annual Review of Earth &
	Planetary sciences, 1979, 7(1): 443-472.
[3]	Zhou Chunyan, Fu Zhuo, Ma Pengfei, et al. Spatio-temporal change of tropospheric NO2 column density over Pearl River
	Delta from 2005 to 2015 [J]. Environment and Sustainable Development, 2016, 41(5): 33-36.
	周春艳, 付卓, 马鹏飞, 等. 2005–2015 年珠三角对流层 NO2 柱浓度时空变化遥感监测 [J]. 环境与可持续发展, 2016,
41	(5): 33-36.
[4]	Platt U, Stutz J. Differential Optical Absorption Spectroscopy [M]. Physics of Earth and Space Environments. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008: 135-174.
[5]	Cheng Yunchu, Wu Ying. Spatiotemporal changes of tropospheric NO2 vertical column densities in China based on OMI data
	and its influencing factors [J]. Progress in Geophysics, 2020, 35(5): 1644-1650.
	程韵初, 吴莹. 基于 OMI 资料的中国对流层 NO2 柱浓度时空变化及其影响因子分析 [J]. 地球物理学进展, 2020, 35(5):
16	44-1650.
[6]	Li Xue, Peng Bo, Liu Yun, et al. Spatial and temporal variation of tropospheric NO2 concentration in southwest China based
	on OMI satellite data [J]. Sichuan Environment, 2020, 39(1): 37-45.
	李雪, 彭波, 刘芸, 等. 基于 OMI 数据的西南地区对流层 NO2 浓度时空变化特征分析 [J]. 四川环境, 2020, 39(1): 37-45.
[7]	Zhang C X, Liu C, Chan K L, et al. First observation of tropospheric nitrogen dioxide from the environmental trace gases
	monitoring instrument onboard the GaoFen-5 satellite [J]. Light: Science & Applications, 2020, 9(1): 66-75.
[8]	Chen Jianpeng, Li Zuojun. The situation and existing problems of air pollution control in China and some policy suggestions
[J]	Development Research, 2013, (10): 4-14.
	陈健鹏, 李佐军. 中国大气污染治理形势与存在问题及若干政策建议 [J]. 发展研究, 2013, (10): 4-14.
[9]	Liao Zhiheng, Sun Jiaren, Fan Shaojia, et al. Variation characteristics and influencing factors of air pollution in Pearl River
	Delta area from 2006 to 2012 [J]. China Environmental Science, 2015, 35(2): 329-336.
	廖志恒, 孙家仁, 范绍佳, 等. 2006-2012 年珠三角地区空气污染变化特征及影响因素 [J]. 中国环境科学, 2015, 35(2):
32	9-336.
[10]	Tao Jinhua, Li Xiaoying, Wang Zifeng, et al. Quantitative Inversion Algorithm and System of Atmospheric Remote Sensing
[M]	Beijing: Sicence Press, 2014: 74-80.
	陶金花, 李小英, 王子峰, 等. 大气遥感定量反演算法与系统 [M]. 北京: 科学出版社, 2014: 74-80.
[11]	Yan Huanhuan, Wang Weihe, Zhang Xingying. Ozone column retrieved from GF-5 satellite environmental trace gas monitoring
	instrument [J]. Aerospace Shanghai, 2019, 36(Sup 2): 199-203.
	闫欢欢, 王维和, 张兴赢. 高分五号卫星大气痕量气体差分吸收光谱仪臭氧总量反演方法研究 [J]. 上海航天, 2019,
36	(增刊 2): 199-203.
[12]	Liu F, Zhang Q, Tong D, et al. High-resolution inventory of technologies, activities, and emissions of coal-fired power plants
	in China from 1990 to 2010 [J]. Atmospheric Chemistry and Physics, 2015, 15(23): 13299-13317.
[13]	Zheng B, Huo H, Zhang Q, et al. High-resolution mapping of vehicle emissions in China in 2008 [J]. Atmospheric Chemistry
	and Physics, 2014, 14(18): 9787-9805.
[14]	Li M, Zhang Q, Streets D G, et al. Mapping Asian anthropogenic emissions of non-methane volatile organic compounds to
	multiple chemical mechanisms [J]. Atmospheric Chemistry and Physics, 2014, 14(11): 5617-5638.
[15]	Zhang Q, Streets D G, Carmichael G R, et al. Asian emissions in 2006 for the NASA INTEX-B mission [J]. Atmospheric
	Chemistry and Physics Discussions, 2009, 9(14): 5131-5153.

Spatial-Temporal Variation of Tropospheric NO2 Concentration in Pearl River Delta Based on EMI Observations

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