[논문]CE-QUAL-W2를 이용한 성층 저수지에서 CO2의 시공간적 분포 및 물질수지 분석

박형석; 정세웅

doi:10.15681/kswe.2020.36.6.508

[국내논문] CE-QUAL-W2를 이용한 성층 저수지에서 CO2의 시공간적 분포 및 물질수지 분석
Characterizing Spatiotemporal Variations and Mass Balance of CO2 in a Stratified Reservoir using CE-QUAL-W2 원문보기

한국물환경학회지 = Journal of Korean Society on Water Environment, v.36 no.6, 2020년, pp.508 - 520

박형석 (한국수자원공사 K-water연구원) , 정세웅 (충북대학교 환경공학과)

Abstract ▼ AI-Helper

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 (CO2) 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 CO2 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 CO2 is supersaturated as a whole and releases CO2 to the atmosphere. Spatially, CO2 emissions were greater in the lacustrine zone than in the riverine and transition zones. In terms of time, CO2 emissions changed dynamically according to the temporal stratification structure of the reservoir and temporal variations of algae biomass. CO2 emissions were greater at night than during the day and were seasonally greatest in winter. The CO2 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 CO2 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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표/그림 (13)

그림 Fig. 1. Locations of the study site and monitoring stations.
그림 Fig. 2. Internal flux between inorganic carbon and other compartments (Cole and Wells, 2017).
그림 Fig. 3. Comparison of simulated and observed reservoir water levels.
표 Table 1. Statistical indices used to evaluate the model accuracy
그림 Fig. 4. Comparison of simulated and observed profiles of water temperature at DC2.
그림 Fig. 5. Comparison of simulated and observed time series of Chl-a and TOC at DC4, DC5 and DC2 sites from 2017 to 2018.
그림 Fig. 6. Comparison of simulated (W2 model) and calculated (simple gas exchange model) time series of CO₂ NAF at DC2.
표 Table 2. Calibrated model parameter values for phytoplankton and organic matters
그림 Fig. 7. Two-dimensional (x-z) view of simulated water temperature and CO2 of Daecheong Reservoir.
그림 Fig. 8. Comparison of simulated time series of CO₂ NAF at DC2 and DC4 as well as the entire reservoir.
그림 Fig. 9. Simulated temporal–vertical profiles of CO₂ and time series of pCO₂ at DC2(a), DC5(b), DC6(c) and DC4(d); Dam release pCO₂ is included in (a).
그림 Fig. 10. Simulation results of inorganic carbon mass balance in Daecheong Reservoir.
그림 Fig. 11. CO₂ exchange load at the atmosphere and water interface in terms of (a) month, (b) season, and (c) day and night: negative sign means emission.

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