中国能源金三角NO<sub>2</sub>时空格局及其驱动因子

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (1536 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract In order to understand the air pollution caused by the utilization of EGT resources and development, the air monitoring data were derived from OMI (ozone monitoring instrument) sensor, combined with data of industrial structure, vehicle ownership, national policies and measures, etc. The spatial and temporal characteristics of tropospheric NO₂ vertical column concentration in the EGT region from 2005 to 2019 were extracted by using the emission source analysis method of urban and rural NO₂ concentration differences, and the driving factors affecting the regional atmospheric NO₂ concentration were analyzed and discussed. Finally, comparing the spatial characteristics of TROPOMI (tropospheric monitoring instrument) with OMI NO₂ products, the results show that The correlation coefficient between NO₂ concentration of EGT coal chemical source and output value growth of the secondary industry was 0.71 (P<0.05), indicating that the NO₂ concentration of long-term urban source and coal chemical source extracted by this method can effectively reflect the adjustment of regional industrial structure and changes in national policies and measures. The NO₂ concentration increased from 90.56molec/m² in 2005~2011 to 720.77molec/m² in 2012~2015, and then decreased to 247.36molec/m² in 2016~2019. The spatial-temporal variations of NO₂ illustrate that the economic development model in the EGT has gradually evolved from a small-scale and moderate-polluting scattered model to a large-scale, heavy-polluting extensive model, and then to a large-scale, light-polluting fine model. Compared with the Beijing-Tianjin-Hebei Urban Agglomeration, the Central of China, and the Yangtze River Delta region, the changing characteristics of the contribution of traffic and industrial emissions to urban source NO₂ pollution in the EGT further reflect the development of urbanization and the optimization of industrial structure. In comparison with OMI, it can be found that TROPOMI provides rich and detailed image information in a short time series, and as the observation time increases, it can provide long time series and precise atmospheric NO₂ pollution monitoring.

Key words： ozone monitoring instrument (OMI) energy golden triangle tropospheric NO₂ vertical column concentration industrial structure spatial distribution

Received: 19 September 2021

PACS:

X511

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	SHEN Yong-lin
	LUO Ji-hao
	Ma Yu-yang
	YAO Ling
	HU Chu-li

Cite this article:

SHEN Yong-lin,LUO Ji-hao,Ma Yu-yang等. Spatiotemporal patterns and driving forces of NO₂ concentrations from different emission sources in the energy golden triangle of China[J]. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(4): 1585-1593.

URL:

http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I4/1585

[1]	常瑞芬.基于人工神经网络的宁东大气污染物浓度预测研究[D]. 银川:宁夏大学, 2013. Chang R F. Prediction and study of atmospheric pollutant concentration in Ningdong based on artificial neural network[D]. Yinchuan:Ningxia University, 2013.
[2]	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, 2009,9(173):5131-5153.
[3]	Zhao C, Wang Y. Assimilated inversion of NOx emissions over east Asia using OMI NO2 column measurements[J]. Geophysical Research Letters, 2009,36(6):L06805.
[4]	Russell A R, Valin L C, Cohen R C. Trends in OMI NO2 observations over the United States:effects of emission control technology and the economic recession[J]. Atmospheric Chemistry and Physics, 2012,12(292):12197-12209.
[5]	符传博,唐家翔,丹利,等.基于卫星遥感的海南地区对流层NO2长期变化及成因分析[J]. 环境科学学报, 2016,36(4):1402-1410. Fu C B, Tang J X, Dan L, et al. Satellite-based long-term trends analysis in troposphere NO2 over Hainan Island and its possible reason[J]. Acta Scientiae Circumstantiae, 2016,36(4):1402-1410.
[6]	Griffin D, Zhao X, Mclinden C A, et al. High-resolution mapping of nitrogen dioxide with TROPOMI:First results and validation over the Canadian oil sands[J]. Geophysical Research Letters, 2018:1049- 1060.
[7]	Lorente A, Boersma K F, Eskes H J, et al. Quantification of nitrogen oxides emissions from build-up of pollution over Paris with TROPOMI[J]. Scientific reports, 2019,9(1):1-10.
[8]	Mijling B, van der A R J, Boersma K F, et al. Reductions of NO2 detected from space during the 2008 Beijing Olympic Games[J]. Geophysical Research Letters, 2009,36(13):L13801.
[9]	Shen Y J, Zhang X D, Brook J R, et al. Satellite remote sensing of air quality in the Energy Golden Triangle in Northwest China[J]. Environmental Science & Technology Letters, 2016,3(7):275-279.
[10]	周春艳,厉青,王中挺,等.2005年~2014年京津冀对流层NO2柱浓度时空变化及影响因素[J]. 遥感学报, 2016,20(3):468-480. Zhou C Y, Li Q, Wang Z T, et al. Spatio-temporal trend and changing factors of tropospheric NO2 column density in Beijing-Tianjin-Hebei region from 2005 to 2014[J]. Journal of Remote Sensing, 2016,20(3):468-480.
[11]	章吴婷,张秀英,刘磊,等.多源卫星遥感的华北平原大气NO2浓度时空变化[J]. 遥感学报, 2018,22(2):335-346. Zhang W T, Zhang X Y, Liu L, et al. Spatial variations in NO2 trend in North China Plain based on multi-source satellite remote sensing[J]. Journal of Remote Sensing, 2018,22(2):335-346.
[12]	Lin J T, Michael B M. Detection from space of a reduction in anthropogenic emissions of nitrogen oxides during the Chinese economic downturn[J]. Atmospheric Chemistry and Physics, 2011, 11(237):193.
[13]	Lin J T, Chris P N, Zhao Y, et al. Recent changes in particulate air pollution over China observed from space and the ground:effectiveness of emission control[J]. Environmental Science & Technology, 2010,44(20):7771-7776.
[14]	Ling Zaili, Huang Tao, Zhao yuan, et al. OMI-measured increasing SO2 emissions due to energy industry expansion and relocation in Northwestern China[J]. Atmospheric Chemistry and Physics, 2017,17(14):9115-9131.
[15]	Cui Y, Lin J, Song C, et al. Rapid growth in nitrogen dioxide pollution over Western China, 2005~2013[J]. Atmospheric Chemistry and Physics, 2016,16(10):6207-6221.
[16]	Wang S, Streets D G, Zhang Q, et al. Satellite detection and model verification of NOx emissions from power plants in Northern China[J]. Environmental Research Letters, 2010,5(4):044007.
[17]	能源"金三角"发展战略研究[J]. 中国工程科学, 2015,17(9):18-28. Research on the development strategy of energy "Golden Triangle"[J]. Strategic Study of CAE, 2015,17(9):18-28.
[18]	Martín JBJ, Bradford B N, Kennedy H G. Global estimates of gaseous emissions of NH3, NO and NO2 from agricultural land[R]. Global Estimates of Gaseous Emissions of Nh, 2001.
[19]	王利民,刘佳,姚保民,等.综合NDVI时序特征的冬小麦混合像元分解及面积估算[J]. 中国农学通报, 2019,35(27):23-33. Wang L M, Liu J, Yao B M, et al. Winter Wheat Mixed Pixel Decomposition Based on NDVI Time-order Characters and Area Estimation[J]. Chinese Agricultural Science Bulletin, 2019,35(27):23-33.
[20]	Shen Y L, Di L P, Yu G N, et al. Correlation Between Corn Progress Stages and Fractal Dimension From MODIS-NDVI Time Series[J]. IEEE Geoscience. Remote Sensing Letter, 2013,10(5):1065-1069.
[21]	景元书,李根,黄文江.基于相似性分析及线性光谱混合模型的双季稻面积估算[J]. 农业工程学报, 2013,29(2):177-183. Jing Y S, Li G, Huang W J. Estimation of double cropping rice planting area using similar index and linear spectral mixture model[J]. Transactions of the Chinese Society of Agricultural Engineering, 2013,29(2):177-183.
[22]	高晋徽,朱彬,王言哲,等.2005~2013年中国地区对流层二氧化氮分布及变化趋势[J]. 中国环境科学, 2015,35(8):2307-2318. Gao J H, Zhu B, Wang Y Z. Distribution and variation trend of tropospheric nitrogen dioxide in China from 2005 to 2013[J]. China Environmental Science, 2015,35(8):2307-2318.
[23]	何宏庆.陕甘宁蒙"金三角"能源产业低碳化发展战略选择[J]. 甘肃社会科学, 2014,(5):217-220. He H Q. The choice of low-carbon development strategy for the "Golden Triangle" energy industry in Shaanxi, Gansu, Ningxia and Inner Mongolia[J]. Gansu Social Sciences, 2014,(5):217-220.
[24]	Arani M H, Jaafarzadeh N, Moslemzadeh M, et al. Environment impact; Investigators from Northeastern University report new data on environmental impact assessment of Multi-air Emissions:Case of particulate matter (dust), SO2, NOx and CO2 from ioron and steel industry of China[J]. Ecology Environment & Conservation, 2019:105-134.
[25]	Wang S X, Hao J M. Air quality management in China:Issues, challenges, and options[J]. Journal of Environmental Sciences, 2012,24(1):2-13.
[26]	中华人民共和国生态环境部.火电厂大气污染物排放标准[Z]. 2012. Ministry of Ecology and Environment of the People's Republic of China. Emission standard of air pollutants for thermal power plants[Z]. 2012.
[27]	Liu F, Zhang Q, van der A R J, et al. Recent reduction in NOx emissions over China:synthesis of satellite observations and emission inventories[J]. Environmental Research Letters, 2016,11(11):114002.
[28]	凌再莉.我国能源与资源产业西移及产品东输对西北地区SO2排放和空气质量的影响[D]. 兰州:兰州大学, 2018. Ling Z L. Impacts of relocation, development, and west-east transmission of energy and resource industry in western China on SO2 emission and contamination in Northwestern, China[D]. Lanzhou University, 2018.
[29]	张杰,李昂,谢品华,等.基于卫星数据研究兰州市NO2时空分布特征以及冬季NOx排放通量[J]. 中国环境科学, 2015,35(8):2291- 2297. Zhang J, Li A, Xie P H, et al. Based on satellite data, the spatial-temporal distribution characteristics of NO2 and NOx emission flux in Lanzhou city in winter[J]. China Environmental Science, 2015,35(8):2291-2297.
[30]	周春艳,厉青,何颖霞,王中挺.山东省近10年对流层NO2柱浓度时空变化及影响因素[J]. 中国环境科学, 2015,35(8):2281-2290. Zhou C Y, Li Q, He Y X, et al. Temporal and spatial variation of tropospheric NO2 column concentration and its influencing factors in Shandong Province in recent 10 years[J]. China Environmental Science, 2015,35(8):2281-2290.