• 한국환경과학회지
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• 제23권8호
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• pp.1513-1522
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• 2014

Fish passage asssessments were conducted in the fishway at Juksan Weir, which was constructed as a four-major rivers project in the downstream area of Youngsan-River Watershed. For the research, fish-movements/migrations were analyzed for seven times from April ~ October, 2013 using an approach of fish trap-setting. Fish fauna and compositions were analyzed in the fishway, and seasonal- and diel-movement patterns were analyzed in relation to current velocity in the fishway. Also, abundances of exotic fishes such as bluegill sunfish (Lepomis macrochirus), large-mouth bass (Micropterus salmoides), and white curcian carp (Carassius cuvieri) were monitored in the fishway. Current velocity(n = 18) in the fishway showed large variations ($0.82{\pm}0.63m/s$) depending on the location of the fish trap-setting and this physical factor influenced the fish movements. Fish movements, based on the CPUE of individuals, in the fishway was greater in slower velocity (mean: 0.36 m/s, range: 0.10~1.54 m/s) than faster velocity (mean: 1.51 m/s, range: 0.90~1.90 m/s). Seasonal analysis of fish movements showed that most frequent uses (8 speices and 591 individuals, 66.2% of the total) of the fishway occurred in spring period(i.e., June). Diel movement analysis, in the mean time, showed highest in the time period of 00:00 ~ 3:00 am (7 species and 281 individuals, 20.9% of the total). The efficient managements in the fishway at Juksan Weir are required in relation to the hydrological regime.

• 한국환경과학회지
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• 제19권11호
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• pp.1323-1336
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• 2010

This study was carried out to determine marine environments and phytoplankton community around Mokpo harbour on March to November during the period of 2004-2009. The remarkable fluctuations of marine environments were shown around Mokpo harbour depending on monthly and yearly. Among seasons, summer was a great that was associated with extremely releasing the freshwater from Youngsan River Weir, contributing to effect the fluctuations of water quality. Nevertheless of monthly and yearly, the molecular ratio of N:P was always shown in above 16 that was mainly attributed to freshwater discharge on March to November. This indicates that phosphorus playes an important role in limiting factor as growth in phytoplankton. During this study, Skeletonema costatum was found to be richer than the other groups of diatoms in terms of abundance and species number. Mokpo harbour, with the presence of a narrow avenue for exchange with offshore waters, has limited growth in phytoplankton, but this species is able to well adapt and fast grow under even high level of suspended solid and low intensity of light compared with other species. The discharge of freshwater is associated with significantly fluctuation of marine environments in this region, but it does not affect the quantitative and qualitative distribution of phytoplankton. It is necessary to persistently monitor based on water quality and phytoplankton community.

• 한국물환경학회지
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• 제35권3호
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• pp.257-270
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• 2019

Followingthe Four Rivers Project, cyanobacterial blooms have been frequently observed in the upstream of the installed weirs. The aim of this study was to characterize the major environmental factors that are associated with the cyanobacteria dominance in Baekje Weir (Geum River) and Juksan Weir (Youngsan River) based on intensive experiments and systematic data mining methods. The factors related to the cyanobacteria dominance include7-days cumulative rainfall (APRCP7), 7-days averaged flow (Q7day), water temperature (Temp), stratification strength (${\Delta}T$), electronic conductivity (EC), DO, pH, $NO_3-N$, $NH_3-N$, TN, TP, $PO_4-P$, Chl-a, Fe, BOD, COD, TOC, and $SiO_2$. The most highly correlatedfactors to the dominant cyanobacteria were found to be EC, Temp, Q7day, $PO_4-P$ in theBaekje Weir. On the other hand, those dominant in the Juksan Weir were ${\Delta}T$, TOC, Temp, EC and TN. The EC showed a strong correlation with cyanobacteria dominance in both weirs because a high EC represents a persisted low flow condition. The cyanobacteria dominance was as high as 56 % when the EC was equal or greater than $418{\mu}S/cm$ in Baekje Weir. It was as high as 63% when the ${\Delta}T{\geq}2.1^{\circ}C$ in the Juksan Weir. However, nutrients showed a minor correlation with cyanobacteria dominance in both weirs. The results suggest that the cyanobacteria dominate in astate where the water flow rate is low, water temperature is high and thermal stratification is strengthened. Therefore, the improvement of flow regimes is the most important to prevent persistent thermal stratification and formation of cyanobacteria bloom in theBaekje and JuksanWeirs.

• 한국수자원학회논문집
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• 제49권9호
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• pp.789-798
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• 2016

최근의 우리나라 수계에서의 하천에서의 조류 대번성은 심각한 사회 환경적 문제가 되고 있다. 이중 독성이 강한 남조류의 발현은 수생태계의 건강성과 안전한 물공급에 위협이 될 수 있다. 영산강 수계의 승촌보와 죽산보 지점의 남조류 세포수와 환경인자간의 인과관계 분석을 위해 선백색화 시계열간의 배타적 상관분석을 수행하였고 이를 기반으로 이들 사이의 입출력 모형을 도출하였다. 입출력 모형의 겨울철 남조류 세포수 반응 특성을 고려하기 위해서 수온의 문턱거동을 도입하였고, 모형의 남조류 세포수에 대한 설명력을 증가시키는 효과를 얻었다. 입출력 모형의 남조류 세포수의 모의능이 완전하진 않으나, 비교적 간단한 구조를 가진 입출력 모형의 구조는 모형 적용의 용이성이 높은 것으로 판단된다.

• 생태와환경
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• 제48권4호
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• pp.238-252
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• 2015

4대강 사업의 일환으로 추진된 보 건설이 영산강의 조류발생 형태와 제반 환경조건에 미치는 영향을 조사하기 위해 장기 (2001~2014년) 자료 (환경부 물환경정보시스템)를 분석하였다. 분석 항목으로 조류 발생의 형태를 파악할 수 있는 엽록소 ${\alpha}$와 환경인자인 부유물질, 암모늄, 질산염, 인산염, 총 질소, 총 인, N : P ratio 등이다. 조사 정점은 최상류에 위치한 담양 (DY)에서 하류의 무안1 (MA1)까지 포함 (총 12개)한다. 분석 항목별로 시간적 분포를 시계열로 분석하였고, 건설 전과 후의 직접적인 비교를 위해 전과 후 3년간 자료 (2006~2008년, 2012~2013년)를 Box-Whisker Plot으로 도시하여 분석하였다. 또한 항목들 간의 상관성 분석 (Pearson's correlation analysis)도 실시하였다. 분석 결과, 수층의 탁도를 결정하는 부유물질은 보 건설 기간 중에 부유물질 농도가 보 건설 전에 비해 거의 모든 정점에서 상당 폭 증가한 반면 건설 이후에는 상류 및 중류에 위치한 정점들을 중심으로 확연하게 감소하였다. 암모늄은 건설 이전에 비해 건설 이후 증가하는 경향을 보인 반면, 나머지 영양염은 감소하였고 이로 인해 N : P ratio가 증가하는 경향을 보였다. 엽록소 ${\alpha}$는 건설 중에는 모든 정점에서 감소하였으나, 건설 후에 부유물질 (탁도)이 감소하였던 정점에서 건설 전에 비해 확연히 증가하는 형태를 보여 주었다. 이는 영산강에서 보 건설 이후 인산염과 같은 영양염이 감소했지만, 동시에 탁도가 감소하면서 조류가 대발생 할 수 있는 환경이 조성되었음을 제시하는 결과라 할 수 있다

• Environmental Engineering Research
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• 제24권3호
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• pp.404-411
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• 2019

In this study, we designed a data-driven model to predict chlorophyll-a using M5P model tree and extreme learning machine (ELM). The Juksan weir in the Youngsan River has high chlorophyll-a, which is the primary indicator of algal bloom every year. Short-term algal bloom prediction is important for environmental management and ecological assessment. Two models were developed and evaluated for short-term algal bloom prediction. M5P is a classification and regression-analysis-based method, and ELM is a feed-forward neural network with fast learning using the least square estimate for regression. The dataset used in this study includes water temperature, rainfall, solar radiation, total nitrogen, total phosphorus, N/P ratio, and chlorophyll-a, which were collected on a daily basis from January 2013 to December 2016. The M5P model showed that the prediction model after one day had the highest performance power and dropped off rapidly starting with predictions after three days. Comparing the performance power of the ELM model with the M5P model, it was found that the performance power of the 1-7 d chlorophyll-a prediction model was higher. Moreover, in a period of rapidly increasing algal blooms, the ELM model showed higher accuracy than the M5P model.