Spatial and Temporal Variations of Atmospheric CO<sub>2</sub> Concentration in China and Its Influencing Factors

Over the past few decades, concentrations of carbon dioxide (CO<sub>2</sub>), a key greenhouse gas, have risen at a global rate of approximately 2 ppm/a. China is the largest CO<sub>2</sub> emitter and is the principle contributor to the increase in global CO<sub>2</...

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Bibliographic Details
Main Authors: Zhenghan Lv, Yusheng Shi, Shuying Zang, Li Sun
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/11/3/231
Description
Summary:Over the past few decades, concentrations of carbon dioxide (CO<sub>2</sub>), a key greenhouse gas, have risen at a global rate of approximately 2 ppm/a. China is the largest CO<sub>2</sub> emitter and is the principle contributor to the increase in global CO<sub>2</sub> levels. Based on a satellite-retrieved atmospheric carbon dioxide column average dry air mixing ratio (XCO<sub>2</sub>) dataset, derived from the greenhouse gas observation satellite (GOSAT), this paper evaluates the spatial and temporal variations of XCO<sub>2</sub> characteristics in China during 2009&#8722;2016. Moreover, the factors influencing changes in XCO<sub>2</sub> were investigated. Results showed XCO<sub>2</sub> concentrations in China increased at an average rate of 2.28 ppm/a, with significant annual seasonal variations of 6.78 ppm. The rate of change of XCO<sub>2</sub> was greater in south China compared to other regions across China, with clear differences in seasonality. Seasonal variations in XCO<sub>2</sub> concentrations across China were generally controlled by vegetation dynamics, characterized by the Normalized Difference Vegetation Index (NDVI). However, driving factors exhibited spatial variations. In particular, a distinct belt (northeast&#8722;southwest) with a significant negative correlation (<i>r</i> &lt; &#8722;0.75) between XCO<sub>2</sub> and NDVI was observed. Furthermore, in north China, human emissions were identified as the dominant influencing factor of total XCO<sub>2</sub> variations (<i>r</i> &gt; 0.65), with forest fires taking first place in southwest China (<i>r</i> &gt; 0.47). Our results in this study can provide us with a potential way to better understand the spatiotemporal changes of CO<sub>2</sub> concentration in China with NDVI, human activity and biomass burning, and could have an enlightening effect on slowing the growth of CO<sub>2</sub> concentration in China.
ISSN:2073-4433