• Title/Summary/Keyword: Orbiting Carbon Observatory-2

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Analysis of the Relationship between CO2 Emissions, OCO-2 XCO2 and SIF in the Korean Peninsula (한반도 지역에서 CO2 배출량과 OCO-2 XCO2 및 SIF의 관계성 분석)

  • Yeji Hwang;Jaemin Kim;Yun Gon Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.2
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    • pp.169-181
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    • 2023
  • Recently, in order to reduce carbon dioxide (CO2) emissions, which is the main cause of global warming, Korea has declared carbon emission reduction targets and carbon neutral. Accurate assessment of regional emissions and atmospheric CO2 concentrations is becoming important as a result. In this study, we identified the spatiotemporal differences between satellite-based atmospheric CO2 concentration and CO2 emissions for the Korean Peninsula region using column-averaged CO2 dry-air mole fraction from the Orbiting Carbon Observatory-2 and emission inventory. And we explained these differences using solar-induced fluorescence (SIF), a photosynthetic reaction index according to vegetation growth. The Greenhouse Gas Inventory and Research Center (GIR) and Emissions Database for Global Atmospheric Research (EDGAR) emissions continued to increase in Korea from 2014 to 2018, but the satellite-based atmospheric CO2 concentration decreased in 2018, respectively. Regionally, GIR and EDGAR emissions increased in 2018 in Gyeonggi-do and Chungcheongbuk-do, but satellite-based CO2 concentrations decreased for the corresponding years. In addition, the correlation analysis between emissions and satellite-based CO2 concentration showed a low correlation of 0.22 (GIR) and 0.16 (EDGAR) in Seoul and Gangwon-do. Atmospheric CO2 concentrations showed a different correlation with SIF by region. In the CO2-SIF correlation analysis for the growing season (May to September), Seoul and Gyeonggi-do showed a negative correlation coefficient of -0.26, Chungcheongbuk-do and Gangwon-do showed a positive correlation coefficient of 0.46. Therefore, it can be suggested that consideration of the CO2 absorption process is necessary for analyzing the relationship between the atmospheric CO2 concentration and emission inventory.

Characteristics of Satellite-Based CO/CO2, CO/NO2 Ratio in South Korea and China (한국과 중국의 도시별 위성기반 CO/CO2, CO/NO2 비율 특성)

  • Jieun Yu;Jaemin Kim;Jin Ah Jang;Jeong-Ah Yu;Seung-Yeon Kim;Yun Gon Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.2
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    • pp.129-142
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    • 2023
  • This study analyzed the ratio of carbon monoxide (CO) and carbon dioxide (CO2), CO and nitrogen dioxide (NO2) for cities and regionsin Korea and China using column-averaged carbon dioxide dry-air mole fraction (XCO2) of the Orbiting Carbon Observatory-2/3, CO and NO2 vertical column density (named XCO, XNO2 in thisstudy) of TROPOspheric monitoring instrument from April 2018 to April 2022, and presented the relationship between socioeconomic indicators (population, number of vehicles, Gross Regional Domestic Product) and ratio, and differences in characteristics between Korea and China. First, CO2 and CO were analyzed after calculating ΔXCO2 and ΔXCO removing the background value and trend line due to the difference in atmospheric residence time of three gaseous substances (CO2, CO, and NO2). Comparing the three values by regions, ΔXCO and ΔXCO2 were relatively higher in China and XNO2 were higher in Korea and the ratio of both values (ΔXCO/ΔXCO2, ΔXCO/XNO2) was higher in China than in Korea. ΔXCO/ΔXCO2, ΔXCO/XNO2 and socioeconomic indicators have a positive correlation suggesting that the concentration of air pollutants and greenhouse gases is higher as the city is large and the economic activity is active. Regarding the differences in the ratio characteristics of Korea and China, the relationship between ΔXCO and ΔXCO2 showed a negative correlation in Korea and a positive correlation in China. When the relationship between ΔXCO and XNO2 was examined for summer and winter, the change of ΔXCO by season was not significant in Korea, whereasthe change of ΔXCO and XNO2 by season waslarge in China resulting in the relationship between two countries appeared differently. These results suggest that seasonal variability and national emission characteristics should be considered in the process of analyzing the ratio of greenhouse gases to air pollutants.