• Korean Journal of Fisheries and Aquatic Sciences
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• v.31 no.1
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• pp.56-62
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• 1998

Seasonal variations of eelgrass and epiphytic algae in eelgrass beds in Kwangyang Bay were studied from January 1994 to December 1994. A peak of the shoot length and standing crop of eelgrass occurred in summer, but low values were observed in fall and winter. The dominant species of epiphytic algae were Callophyllis rhynchocarpa and Champia sp. In spring and summer, while Polysiphonia japonica and Lomentaria hakodatensis in fall and winter. In contrast to the eelgrass, the standing crop of epiphytic algae showed a minimum in summer. There was a gradual increase in the standing crop of epiphytic algae during fall, and a peak of standing crop occurred in winter. Epiphytic algae accounted for approximately $15\~20\%$ of total plant standing crops of the eelgrass meadows. Correlation analysis with environmental factors indicated that temperature influences on both the standing crop of eelgrass and epiphytic algae. There was a positive relationship between the standing crop of eelgrass and temperature, while there was a reverse relationship between that of epiphytic algae and temperature.

• Journal of the Korean Society of Marine Environment & Safety
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• v.16 no.4
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• pp.321-337
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• 2010

Long-term trends and distribution patterns of water quality were investigated in the Mokpo coastal areas of the Yellow Sea, Korea from 1979 to 2009. Water samples were collected at 5 stations and physicochemical parameters were analyzed including water temperature, salinity, suspended solids (SS), chemical oxygen demand (COD), dissolved oxygen (DO) and nutrients. Spatial distribution patterns of temperature, pH and DO were not clear among stations but the seasonal variations were distinct except ammonium. The trend analysis by principal component analysis (PCA) during 30 years revealed the significant variations in water quality in the study area. Spatial water qualities were discriminated into 3 clusters by PCA; station cluster 1, 2~4, and 5. Annual water qualities were clearly discriminated into 4 surface water clusters and 2 bottom water clusters by PCA. By this multi-variate analysis, the annual trends were summarized as the followings; water temperature, pH and COD tended to increase from late 1980's, salinity to decrease, phosphate to increase from 1994 and dissolved inorganic nitrogen to increase, due to the input of fresh water same as shown in Kyoungin coastal area, Asan coastal area, Choensoo bay and Gunsan coastal area.

• Journal of the Korean Society of Marine Environment & Safety
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• v.17 no.3
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• pp.203-218
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• 2011

Long-term trends and distribution patterns of water quality were investigated in the Yeoja Bay of South Sea, Korea from 1976 to 2010. Water samples were collected at 3 stations and physicochemical parameters were analyzed including water temperature, salinity, hydrogen ion concentration (pH), dissolved oxygen (DO), chemical oxygen demand (COD), suspended solids (SS) and nutrients. Spatial distribution patterns of temperature, pH and DO were not clear among stations but the seasonal variations were distinct except ammonium. The trend analysis by principal component analysis (PCA) during 31 years revealed the significant variations in water quality in the study area. Spatial water qualities were discriminated into 2 clusters by PCA; station cluster 1 and 2~3. Annual water qualities were clearly discriminated into 4 clusters by PCA. By this multi-variate analysis, the annual trends were summarized as the followings; water temperature, COD and SS tended to increase from late 1970's, decreased salinity, and increased phosphate from 1991 to 2001 and increased dissolved inorganic nitrogen. Water quality was showed by the input of fresh water same as those of Kyoungin coastal area, Asan coastal area, Choensoo bay, Gunsan coastal and Mokpo coastal area in the Yeoja Bay.

• Journal of the Korean earth science society
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• v.28 no.3
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• pp.343-356
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• 2007

This paper explored the characteristics of the interannual sea surface temperature (SST) variability in the equatorial Pacific by analyzing the simulated data from a newly coupled general circulation model (CGCM). The CGCM simulates well the realistic ENSO variability as well as the mean climatologies including SST, seasonal cycle, precipitation, and subsurface structures. It is argued that the zonal gradient of SST in the equatorial Pacific is responsible for the over-energetic SST variability near the equatorial western boundary in the model. This variability could also be related to the strong westward propagation of SST anomalies which resulted from the enhanced the zonal advection feedback. The simple two-strip model supports this by sensitivity tests. Analysis of the relationship between zonal mean thermocline depth and NINO3 SST index suggested that the ENSO variability is controlled by the recharge-discharge oscillator of the model. The lead-lag regression result reveals that heat buildup process in the western equatorial Pacific associated with the increase of the barrier layer thickness (BLT) is a precedent condition for El $Ni\widetilde{n}o$ to develop.

• Journal of Korean Society of Disaster and Security
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• v.15 no.2
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• pp.45-56
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• 2022

The countermeasure for the shortage of water during dry season and drought period has not been considered with return flowrate in detail. In this study, the outflow of STP was predicted through a data-based machine learning model, LSTM. As the first step, outflow, inflow, precipitation and water elevation were utilized as input data, and the distribution of variance was additionally considered to improve the accuracy of the prediction. When considering the variability of the outflow data, the residual between the observed value and the distribution was assumed to be in the form of a complex trigonometric function and presented in the form of the optimal distribution of the outflow along with the theoretical probability distribution. It was apparently found that the degree of error was reduced when compared to the case not considering where the variance distribution. Therefore, it is expected that the outflow prediction model constructed in this study can be used as basic data for establishing an efficient river management system as more accurate prediction is possible.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.78-78
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• 2023

기후변화 위기는 유사 이래 인류가 직면한 가장 큰 도전으로 범정부적 글로벌 문제로서 이를 해결하기 위한 다양한 정책들이 범국가 차원 혹은 세계적 기업들에 의해 발표 혹은 시행되고 있다. 이러한 기후변화위기와 탄소배출 저감을 위한 대표적인 대응 방안 중 하나가 바로 재생에너지의 확대·보급 노력이다. 그러나 재생에너지는 날씨와 계절 등 자연환경의 영향을 받는 에너지원으로써 간헐성, 변동성을 가지므로, 시간대별 발전량 예측과 전력공급 안정성에 어려움이 있다. 이러한 문제를 해결하기 위하여 재생에너지 발전은 석탄화력 발전과 달리 전력의 수요와 공급의 균형을 위한 에너지저장장치(Energy Storage System, 이하 ESS)가 있어야 한다. ESS는 전력공급 안정성 향상과 전력 수급의 유연성을 제공하는 장점이 있지만, 초기 설치비용이 높은 단점이 있다. 특히, 배터리 기반 ESS의 경우 높은 구축 비용과 한정적인 충. 방전수명으로 인하여 대용량 ESS로써의 역할 수행에는 분명한 한계가 있다. 하지만 재생에너지와 연계한 ESS로 양수발전댐을 활용할 경우 장주기, 장수명, 대용량 에너지 저장에 매우 합리적인 수단으로 판단되었다. 다만, 양수발전 댐 구축에는 토목공사로 인한 환경 훼손이라는 문제점도 존재한다. 본 고에서는 지역 분산형 소규모 양수발전(Pumped Storage Hydropower, 이하 PSH)댐 구축 및 운영기술 개발을 통해 지역 전력공급과 전력 수급을 조절하면서 변동성 재생에너지를 안정적으로 사용할 수 있는 방안을 소개하고자 한다. 특히, 해당 기술은 지역별 특성에 맞춰 유연하게 설치할 수 있으며, 대규모 토목공사로 의한 환경적 부작용을 최소화할 수 있다. 또한 소규모 PSH는 지역의 저수지 및 수자원을 이용하여 에너지를 저장함으로써 변동성 큰 재생에너지의 유연화 대응과 동시에 안정적인 에너지 공급이 가능하다. 본 고에서는 재생에너지의 확대·보급에 따른 문제점과 대표적 ESS 기술들을 분석·소개한다. 지역분산형 소규모 PSH 기술개발 연구기획 내용 소개를 통하여 전력 생산 및 공급의 탈중앙화를 달성하고, 지역별 변동성 재생에너지의 안정적 활용과 지역 전력공급 특성 및 전력 수급에 대응할 수 있는 방안을 제안하고자 한다.

• Proceedings of the Korea Water Resources Association Conference
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• 1994.02a
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• pp.449-456
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• 1994

넓은 지역(Arkansas River Basin)에 대하여 토양 수분을 기본으로한 물 수지 모델이 계절별 년별 시간단위로 연구되었다. 지표면과 대기 수분사이의 상호 작용과 재순환 효과에 대한 연구가 유역의 매개 변수화 과정에서 수행되었으며 대규모의 지표면과 대기사이의 상호 작용에 의하여 넓은 지역의 지표 수문은 장기간의 확률분포함수에 있어서 두가지 즉 건조와 습한 안정상태의 영향을 받는다. 토양수분 균형 방정식에서 추계학적 변동은 주위환경 변동에 의하여 야기되는 안정상태 사이의 변이와 함께 분리된 선호하는 통계학적 안정상태를 초래한다. 과거의 자료를 바탕으로 비선형 물수지 모델이 Arkansas강 유역에 대하여 검정되었다. 모델에서 안정상태 사이의 평균 변이시간이 물리과정의 추계학적 표현과 검정된 모델변수들로부터 계산되었다. 본 연구는 안정상태 사이의 변이시간 혹은 거주시간, 즉 시스템이 주어진 안정상태에 머무는 시간(가뭄이나 홍수상태의 지속기간)의 예측과 밀접한 관계가 있다.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.32 no.4
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• pp.386-394
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• 1996

The temporal variations of the transparency with water temperature, salinity and density during spring-neap tidal cycle of spring, summer, autumn and winter time were investigated at 34 stations using observation data in Deukryang Bay, Korea, in 1995. It was found that the transparency was depended on spread of tidal currents and vertical stratification of water. The depth of transparency during neap tide was deeper than that of spring tide. The value of transparency in summer was the largest among four seasons. We concluded that the vertical stratification intensity of water mass and vertical distribution of transparency.

• Journal of Soil and Groundwater Environment
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• v.6 no.1
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• pp.33-43
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• 2001

A calculation technique which estimates natural recharge using groundwater level change was proposed and prepared with the existing techniques using groundwater recession curve during dry days. As a part of estimating natural groundwater recharge nation wide, the reliable data from the national groundwater monitoring network were used and the methodology was applied to the three sites which have enough data (Chungju, Jinju and Kwangju). For this study, seasonal variation of groundwater level change, an analysis of lagging time on groundwater level and cumulative precipitation, and a comparative study for groundwater recharge were conducted.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.229-233
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• 2008

기상청은 작년 말 전국 60개 지점 기상관측 자료 분석결과로부터 2007년 평균기온($13.5^{\circ}C$)이 1998년($13.6^{\circ}C$)에 이어 두 번째로 높게 나타났으며, 2007년 전국 강수량(1498.5mm)은 평년보다 13.9% 증가한 것을 확인하였다. 그리고 한반도 기후변화의 특징으로 기상 사상의 극값이 증가하고 있음을 추가로 언급한 바 있다. 과거에는 발생하지 않았던 고강도의 강우, 기온 상승과 같은 극치 사상의 잦은 출현빈도가 원인이 되고 있다. 그러나 이들 현상들은 일정한 패턴과 규칙에 따라 발생하지 않아 판단기준이나 경향성을 객관화 또는 정량화하기에 무리가 따른다. 본 논문에서는 기후변화가 우리나라의 극한 사상 변동과 그 영향을 분석하기 위하여 SRES B2 온난화가스시나리오와 YONU CGCM 으로부터 모의된 강우 시계열 자료를 이용하여 미래의 극치 사상의 경향성을 계절에 따라 비교 분석하였다.