[논문]영주댐 개방에 따른 호내 조류 변동 모의

이동열; 김성은; 백경오

doi:10.3741/jkwra.2023.56.3.173

영주댐 개방에 따른 호내 조류 변동 모의
Modeling of algal fluctuations in the reservoir according to the opening of Yeongju Dam 원문보기

Journal of Korea Water Resources Association = 한국수자원학회논문집, v.56 no.3, 2023년, pp.173 - 184

이동열 (한경대학교 건설환경공학부) , 김성은 (한경대학교 건설환경공학부) , 백경오 (한경대학교 건설환경공학부)

초록
AI-Helper

기후 변화로 인하여 국내뿐만 아니라 전 세계적으로 녹조류 번무 현상이 잦아지면서 유해 녹조의 독성에 대한 위험성이 최근 대두된 바 있다. 대표적인 유해 조류인 남조류는 수온, 체류시간 및 영양염류 이렇게 3가지 요소의 교집합으로 발생한다고 알려져 있다. 본 연구에서는 내성천 내 영주댐의 완전개방으로 체류시간 감소에 따른 수질 변화 분석을 위해 준3차원 수치모델인 EFDC를 활용하여 수질모의를 수행하였다. 실제 2021년 여름철 영주댐 내 엽록소-a의 농도는 상당하여 과거 조류경보제 기준으로 '조류경보'를 오랜 기간 동안 상회하였다. 반면 댐 수문을 완전 개방한 조건으로 모의를 수행한 결과, 모의기간 동안 엽록소-a 농도가 대부분 '조류경보' 수준 이하로 저감되었다. 내성천의 흐름을 복원하여 체류시간을 감소시키는 것이 영주댐 내 녹조를 즉각적으로 저감시키는 방안임을 확인하였다.

Abstract ▼ AI-Helper

Due to climate change, algal blooms frequently occur not only in Korea but also around the world, and the risk of toxicity of harmful algae has recently been issued. It is known that the representative harmful algae, cyanobacteria, are caused by the intersection of three factors: water temperature, residence time, and nutrients. In this study, water quality simulation was carried out using EFDC, a three-dimensional numerical model, to analyze the variations in water quality due to the decrease of residence time according to the opening of Yeongju Dam in Naeseong-Cheon. In fact, the concentration of chlorophyll-a in Yeongju Dam in the summer of 2021 was significant, exceeding the 'algae warning' for a long time based on the previous algae warning system. On the other hand, as a result of performing the simulation under the condition that the dam gate was completely opened, the concentration of chlorophyll-a was mostly reduced below the 'algae warning' level during the simulation period. It was confirmed that reducing the residence time by restoring the flow of Naeseong-Cheon is a way to immediately reduce algae in Yeongju Dam.

주제어

표/그림 (16)

그림 Fig. 1. Yeongju Dam simulation section and observation points
그림 Fig. 2. Harmful algal bloom that occurred at Yeongju Dam in 2017 (Jeong, 2022)
표 Table 1. Project effect of Yeongju Dam
표 Table 2. Comparison of the health-protective concentration for microcystins and drinking water advisory levels from other health agencies
표 Table 3. Example assessment of the potential for high biomass of cyanobacteria based on environmental conditions
그림 Fig. 3. The structure of the EFDC model (Tetra Tech. Inc., 2000)
표 Table 4. Water quality factor of EFDC model
그림 Fig. 4. Calibration and validation results of hydrodynamic model at Yeongjudam 1
표 Table 5. Model reproducibility evaluation index
그림 Fig. 5. Calibration and validation results of water quality model
그림 Fig. 6. Verification results of stratification in 2021
표 Table 6. Statistics for water quality model results
표 Table 7. Reproducibility evaluation of the stratification for water temperature and algae
그림 Fig. 7. Operation history of Yeongju Dam about water leve
그림 Fig. 8. Comparison of variations in water environment due to fully opened Yeongju Dam in 2021
표 Table 8. Checklist before and after revision of algal alert

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