سابِق|تال

The temporal and spatial variation of CO2 column concentration over China from 2003 to 2018 based on multi-source satellite remote sensing data

  • role： First author第一作者
  • Affiliation：

    College of Harbour and Coastal Engineering, Jimei University, Xiamen 361021, China

    National Geographic Conditions Monitoring Research Center, Jimei University, Xiamen 361021, China

  • Email：zyxiao@jmu.edu.cn
  • Introduction：肖钟湧，研究方向为大气环境遥感。E-mail：zyxiao@jmu.edu.cn
XIAO Zhongyong12,  
  • Affiliation：

    College of Harbour and Coastal Engineering, Jimei University, Xiamen 361021, China

    National Geographic Conditions Monitoring Research Center, Jimei University, Xiamen 361021, China

CHEN Yingfeng12,  
  • Affiliation：

    College of Harbour and Coastal Engineering, Jimei University, Xiamen 361021, China

    National Geographic Conditions Monitoring Research Center, Jimei University, Xiamen 361021, China

LIN Xiaofeng12,  
  • Affiliation：

    College of Harbour and Coastal Engineering, Jimei University, Xiamen 361021, China

    National Geographic Conditions Monitoring Research Center, Jimei University, Xiamen 361021, China

LIU Shanhong12,  
  • Affiliation：

    College of Harbour and Coastal Engineering, Jimei University, Xiamen 361021, China

    National Geographic Conditions Monitoring Research Center, Jimei University, Xiamen 361021, China

XIE Jinghan12,  
  • role： Corresponding author通信作者
  • Affiliation：

    College of Harbour and Coastal Engineering, Jimei University, Xiamen 361021, China

  • Email：xxq187@126.com
  • Introduction：谢先全，研究方向为GIS及遥感应用。E-mail：xxq187@126.com
XIE Xianquan1*

ملخص

This paper used CO2 products inversed from Scanning Imaging Absorption spectrometer for Atmospheric CartograpHY (SCIAMACHY) and Greenhouse Gases Observing Satellite Fourier Transformation Spectrometer (GOSAT FTS), and the linear regression analysis was used to validate the remote sensing data with CO2 concentration data observed at the Waliguan station, then the remote sensing data were corrected. The superposition model of linear and sine function was further used to analyze the temporal trend and periodicity of regional mean CO2 over China from 2003 to 2018, and the CO2 was synthesized at different temporal scales to study the spatial distribution characteristics. Finally, the influencing factors on these temporal and spatial characteristics were analyzed. The results showed that SCIAMACHY and GOSAT CO2 retrievals agree well in general with ground observation CO2, but the satellite remote sensing has obvious systematic errors. The differences between GOSAT and WDCGG CO2 were larger than those between SCIAMACHY and WDCGG CO2, with an average deviation of -3.89 ppm and 1.00 ppm, respectively. The SCIAMACHY CO2 was overestimated at smaller value and underestimated at the larger value. In terms of seasonal variation, the regional monthly mean value of CO2 column concentration appeared a cyclical variation at 12 months and gradually increase with temporal processing. The annual regional average CO2 column concentration in 2003 and 2018 were 374.4 ppm and 413.7 ppm, respectively. The CO2 increased 39.3 ppm (about 10.51%) from 2003 to 2018, with the average annual growth rate of 0.59%. The monthly variation of CO2 column concentration showed significant temporal and spatial differences characterizing by a sinusoidal fluctuation, with the minimum and maximum values appeared in August and April with 407.7 ppm and 416.3 ppm in 2018, respectively. The periodic characteristics of CO2 column concentration are primarily affected by the vegetation growth cycle of terrestrial ecosystems, various chemical processes in the soil, and anthropogenic emissions. The multi-yearly average CO2 column concentration values from 2003 to 2018 varied between 388 and 398 ppm, with the standard deviation ranged from 10 ppm to 15 ppm. Additionally, the high values of CO2 column concentration mainly appeared in the subtropical and temperate regions in the eastern China. The annual average CO2 column concentration in 2018 is up to 417.9 ppm. The lowest value was in northern Inner Mongolia of about 409.5 ppm in 2018. The CO2 column concentration in the entire region of China showed increased significantly from 2003 to 2018, but the growth rate has obvious heterogeneity in space. The increase values from 2003 to 2018 were between 31.0 ppm and 45.4 ppm. Furthermore, the growth rate had obvious heterogeneity in space, which was in range of 8.9%—12.2% in space. There was an obvious shed line for the growth rate of CO2 column concentration, which was from northeast to southwest, coinciding with the geographical dividing line of China (Mohe-Tengchong Line). The largest growth rate occurred at the junction of Liaoning and Jilin Province, with the value of 12.2%. The region with the smaller growth appeared in Central China, with the lowest growth rate of about 8.9%.

مفهوم

SCIAMACHY;GOSAT;CO2 column concentration;remote sensing;Variation coefficient

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