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Real-time and dynamic estimation of CO2 emissions from China’s lakes and reservoirs

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  • Corresponding author: gaoyang@igsnrr.ac.cn (Y.G.)
    1. Lake CO2 emissions were estimated using real-time water quality monitoring data.

      China’s total lake and reservoir CO2 emission between 2021-2022 was 6.78 Tg C yr−1.

      General environmental controls were pH, dissolved oxygen, and air temperature.

  • Lakes and reservoirs act as active carbon (C) reactors and regulators. Both play a crucial terrestrial ecosystem C balance role via carbon dioxide (CO2) exchange processes across the water-air interface. It has previously been confirmed that CO2 flux from lakes and reservoirs generally exhibits significant spatiotemporal heterogeneity. Nevertheless, spatiotemporal CO2 flux variation has seldom been considered in global and regional CO2 emission estimates from lakes and reservoirs. By accounting for spatiotemporal CO2 flux and water surface area variability, we evaluated spatial and temporal CO2 emission dynamics from China’s inland lakes and reservoirs using national real-time water quality monitoring data and machine learning (ML) models. Between 2021–2022, we estimated total C emission flux at 6.78 (±2.5) Tg C yr−1, where seasonal and regional distribution both exhibited significant heterogeneity. Our state-of-the-art estimate is significantly lower than previous estimates of 7.9~25 Tg C yr−1 from the 1980s to the 2010s. Water quality parameters (pH and dissolved oxygen [DO]) and climate factors (air temperature) were identified as the general environmental CO2 flux controls. For the first time, this study clarifies the spatiotemporal patterns and drivers of CO2 flux from China’s inland lakes and reservoirs, providing a more complete C budget picture of China’s aquatic ecosystems.
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  • Cite this article:

    Sun K., Jia J., Wang S., et al., (2023). Real-time and dynamic estimation of CO2 emissions from China’s lakes and reservoirs. The Innovation Geoscience 1(3), 100031. https://doi.org/10.59717/j.xinn-geo.2023.100031
    Sun K., Jia J., Wang S., et al., (2023). Real-time and dynamic estimation of CO2 emissions from China’s lakes and reservoirs. The Innovation Geoscience 1(3), 100031. https://doi.org/10.59717/j.xinn-geo.2023.100031

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