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      CE-QUAL-W2를 이용한 성층 저수지에서 CO<sub>2</sub>의 시공간적 분포 및 물질수지 분석 = Characterizing Spatiotemporal Variations and Mass Balance of CO<sub>2</sub> in a Stratified Reservoir using CE-QUAL-W2

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      https://www.riss.kr/link?id=A107167214

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      Dam reservoirs have been reported to contribute significantly to global carbon emissions, but unlike natural lakes, there is considerable uncertainty in calculating carbon emissions due to the complex of emission pathways. In particular, the method of...

      Dam reservoirs have been reported to contribute significantly to global carbon emissions, but unlike natural lakes, there is considerable uncertainty in calculating carbon emissions due to the complex of emission pathways. In particular, the method of calculating carbon dioxide (CO<sub>2</sub>) net atmospheric flux (NAF) based on a simple gas exchange theory from sporadic data has limitations in explaining the spatiotemporal variations in the CO2 flux in stratified reservoirs. This study was aimed to analyze the spatial and temporal CO<sub>2</sub> distribution and mass balance in Daecheong Reservoir, located in the mid-latitude monsoon climate zone, by applying a two-dimensional hydrodynamic and water quality model (CE-QUAL-W2). Simulation results showed that the Daecheong Reservoir is a heterotrophic system in which CO<sub>2</sub> is supersaturated as a whole and releases CO<sub>2</sub> to the atmosphere. Spatially, CO<sub>2</sub> emissions were greater in the lacustrine zone than in the riverine and transition zones. In terms of time, CO<sub>2</sub> emissions changed dynamically according to the temporal stratification structure of the reservoir and temporal variations of algae biomass. CO<sub>2</sub> emissions were greater at night than during the day and were seasonally greatest in winter. The CO<sub>2</sub> NAF calculated by the CE-QUAL-W2 model and the gas exchange theory showed a similar range, but there was a difference in the point of occurrence of the peak value. The findings provide useful information to improve the quantification of CO<sub>2</sub> emissions from reservoirs. In order to reduce the uncertainty in the estimation of reservoir carbon emissions, more precise monitoring in time and space is required.

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