AI Article Synopsis
- Understanding CO emissions at the water-air interface in karst waters is essential for accurately gauging the carbon budget, particularly due to currently limited research methods.
- A study conducted at Dalongdong Reservoir in southwest China utilized high-frequency monitoring over a year and an innovative estimation technique to assess average CO flux, identifying it primarily as a CO source, with exceptions during certain periods like August.
- Findings revealed that factors such as thermal stratification, hydrochemical changes, and varying wind speeds significantly influence CO emissions, indicating that high-frequency monitoring can enhance understanding of regional carbon dynamics and their implications for global carbon budgets.
Article Abstract
Revealing the magnitude, dynamics, and influencing factors of CO emissions across the water-air interface in karst water with high frequency is crucial for accurately assessing the carbon budget in a karst environment. Due to the limitations of observation methods, the current research is still very insufficient. To solve the above problems and clarify the main influencing factors of CO emission in karst water, this study selected Dalongdong (DLD) Reservoir, located in the typical karst peak and valley area in southwest China, to carry out a multi-parameter high-frequency monitoring study from January to December 2021, and used the thin boundary model method to estimate the CO flux across the water-air interface (CF). The average annual flux of DLD reservoir is 84.48 mmol·(m·h), which represents a CO source overall. However, during the stratification period in August, there is a transient carbon sink due to negative CO emission. The alteration of thermal stratification in water is crucial in regulating the seasonal variation of CF. Meanwhile, the diurnal variation is significantly influenced by changes in hydrochemical parameters during the thermal stratification stage. Compared to low wind speeds (<3 m/s), high wind speeds (≥3 m/s) have a greater impact on the CO flux. Furthermore, high-frequency continuous data revealed that the reservoir triggered a CO pulse emission during the turnover process, primarily at night, leading to unusually high CO flux values. It is of great significance to monitor and reveal the process, flux, and control factors of CO flux in land water at a high-frequency strategy. They will help improve the accuracy of regional or watershed carbon budgets and clarify the role of global land water in the global carbon budget.
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| http://dx.doi.org/10.1016/j.envres.2024.118552 | DOI Listing |
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