• 한국물환경학회지
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• 제28권6호
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• pp.882-889
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• 2012

This study has evaluated the trophic state in Daecheong Lake by Carlson (1977) method, Aizaki (1981) method, Yang and dickman (1993) method, and Korean trophic state index method. For estimating the trophic state index from each analysis method we use water quality factors such as COD, TN, TP, Chl-a, and SD provided by the water information system and the ministry of environment. The seasonal lake trophic state results denote the mesotrophic state lake from Carlson (1977) method, Aizaki (1981) method, and Korean trophic state index method and the high relation between Carlson (1977) method and Aizaki (1981) method with the coefficient of determination $R^2$ greater than 0.9 for all the seasons. Although Korean trophic index method has relatively weak relation to other methods with the coefficient of determination $R^2$ ranging from 0.419 to 0.701, we propose that Korean trophic index method is suitable for use in domestic lakes since Korean trophic index results show the similar periodicity and tendency with other method results. Hence, Korean trophic index method incorporating domestic lake characteristics is expected to can contribute to seasonal water quality management measures in lakes.

• 대한환경공학회지
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• 제35권4호
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• pp.263-267
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• 2013

낙동강 하류 물금지역의 장기적인 부영양화 경향을 평가하기 위해 1995년부터 2012년까지 수질인자들 및 식물 플랑크톤 생체량(클로로필-a 농도)들의 변화경향을 조사하였다. 18년간의 장기적인 연평균 수질인자들 농도 및 식물 플랑크톤 생체량 변화에서 연평균 수질인자들 농도 및 식물 플랑크톤 생체량은 점차 감소하는 추세였다. 연중 식물 플랑크톤의 농도변화에서는 매년 12월부터 3월까지 높은 식물 플랑크톤의 농도를 나타내었다. Aizaki의 부영양화 지수(Trophic State Index, TSI) 평가에서 낙동강 하류 물금지역의 경우 1995년부터 2012년까지 매년 그리고 연중 부영양화 상태인 것으로 나타났다. 각각의 수질인자들과 식물 플랑크톤 생체량과의 단순 상관관계 분석에서 BOD와 식물 플랑크톤 생체량과의 상관성($r^2$ = 0.82)이 가장 높게 나타났다.

• 한국물환경학회지
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• 제35권4호
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• pp.340-351
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• 2019

In this study, the relationship between trophic state indices was analyzed based on the monthly or weekly water quality data of 81 lakes (mostly man-made) in Korea between 2013-2017. Carlson's $TSI_C$ and Aizaki's $TSI_m$ were calculated using the summer (Jun.-Sep.) average data at the upper water layer. The previous Korean trophic state index ($TSI_{KO}$) and the newly suggested index ($TSI_{KON}$) was calculated using the annual average data at the whole layer and at the upper layer, respectively. While previous trophic state index (TSI) such as Carlson's TSI included logarithmic function, we devised newly Monod-type $TSI_{KON}$(Chl) that is 50 when half-saturation concentration of chlorophyll ${\alpha}$ ($Chl.{\alpha}$) measured by UNESCO-method is $10{\mu}gL^{-1}$. MMF-type $TSI_{KON}$(TP) was derived based on the relationship between TP and $Chl.{\alpha}$. A comprehensive $TSI_{KON}$ was decided as the larger one of the two $TSI_{KON}$ values. The range of previous TSI was usually 40-50 for the mesotrophic state, which seemed narrow to discriminate trophic characteristics of the class. The upper limits of $TSI_{KON}$ for oligotrophic, mesotrophic, and eutrophic state were set to 23, 50 and 75, respectively. Classification by $TSI_C$ and $TSI_m$ showed higher frequency of eutrophic class compared to $TSI_{KO}$ and $TSI_{KON}$. This means that the estimation by TSIs developed in foreign natural lakes can lead to distorted results in the classification of the trophic state of Korean lakes. This is due to the decrease of transparency by non-algal material and the reduction in phosphorus availability to algal growth, particularly in Monsoon period.

• 한국물환경학회지
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• 제21권4호
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• pp.360-367
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• 2005

We have performed to analyze the trophic state resulting of Lake Yongdam as a result of water quality and nutrient concentration. Lake Yongdam is artifitial multi-purpose Dam resulting from the floods of 2001. The water quality of Lake Yongdam may affect the status of the Geum river basin including the Daecheong reservoir. It is necessary to understand the trophic state to assess water quality until stability after flooding. Water quality was surveyed using depth and hydraulic condition analysis. Further density flow was estimated for stratification and trophic state of Lake Yongdam by chlorophyll ${\alpha}$ concentration (2001~2004). And Environmental factors on chlorophyll ${\alpha}$ concentration were analyzed statistically. Trophic state was evaluated as the oligotrophic state at the main stream of the reservoir and eutrophic state at the upper stream in 2001, but evaluated as eutrophic state in 2002 and 2003 by TSI of Aizaki. From the results of multiple regression analysis using stepwise method, chlorophyll ${\alpha}$ concentration was shown to be very significant when nutrient concentration is high upon initial filling of the Dam. Chlorophyll ${\alpha}$ concentration varied according to sample site, season and year. Concentration were high in the upper stream of Lake Yongdam 4, algae bloom in these watershed were affected by location and high nutrient levels in the summer season which have in turn increased phytoplankton bloom into the reservoir.

• 한국물환경학회지
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• 제35권1호
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• pp.1-8
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• 2019

The purpose of this study is to evaluate the nutritional status of Lake Jinyang using Landsat 8 satellite image band correlated with chlorophyll-a, which is also related to algae proliferation. We selected 20 Landsat 8 images dating from 2013 to 2017, taken close to water quality measurement date when the cloud cover was less than 20 %. Based on the results of the previous studies, analyzing the correlation between chlorophyll-a, and Landsat 8 satellite image band, we selected near infrared wavelength, band 5 which is closely related to the population of algae. The nutritional status was classified using the Aizaki trophic state index (TSIm). The results of the regression equation between band 5 and the observed chlorophyll-a data was used to calculate chlorophyll-a for the image data from 2013 to 2017. The concentration of chlorophyll-a ranged from 3 to $16.1mg/m^3$. To illustrate the spatial distribution of chlorophyll-a within the lake, the chlorophyll-a concentration was divided into five grades. The images on October 14, 2014 and April 10, 2016 showed relatively high value of chlorophyll-a, while January 18, 2015 and December 6, 2016 chlorophyll-a value were below 5. The images on October 14, 2014 and April 10, 2016 were rated as eutrophic status in most areas. The results of simulating water quality for the day when the water quality was not measured resulted to an approximate value for the Panmun station while the Naedong station needed some corrections.

• 환경영향평가
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• 제15권2호
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• pp.121-127
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• 2006

The conventional water quality measurements by point sampling provide only site specific temporal water quality information but not the synoptic geographic coverage of water quality distribution. To circumvent these limitations in temporal and spatial measurements, the use of remote sensing is increasingly involved in the water quality monitoring research. In other to assess a trophic state of Yongdam reservoir using satellite imagery data, I obtained Landsat ETM data and water quality data on 16th September and 18th October 2001. The approach involved acquisition of water quality samples from boats at 33 sites on 16th September and 30 sites on 18th October 2001, simultaneous with Landsat-7 satellite overpass. The correlation coefficients between the DN values of the imagery and the concentrations of chlorophyll-a were analyzed. The visible bands(band 1,2,3) and near infrared band(band 4) data of September image showed the correlation coefficient values higher than 0.9. The October image showed the correlation coefficient values about 0.7 due to the atmospheric effect and low variation of chlorophyll-a concentration. Regression models between the chrophyll-a concentration and DN values of the Landsat imagery data have been developed for each image. The regression model was determined based on the spectral characteristics of chlorophyll, so the green band(band 2) and near infrared band(band 4) were selected to generate a trophic state map. The coefficient of determination(R2) of the regression model for 16th September was 0.95 and that of the regression model for 18th October was 0.55. According to the trophic state map made based on Aizaki's TSI and chlorophyll-a concentration, the trophic state of Yongdam reservoir was mostly eutrophic state during this study.

• 한국산학기술학회논문지
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• 제15권11호
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• pp.6943-6951
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• 2014

본 연구는 울산시 상수원인 회야호의 부영양화를 평가하고 WASP7을 이용하여 준설로 인한 호수 내 침전물의 용출 저감에 따른 수질개선 효과를 분석하였다. 회야호의 부영양화 평가는 회야호 2개 지점의 투명도, Chlorophyll-a 및 TP를 이용하여 Carlson과 Aizaki 등에 의한 영양상태지수(TSI)로 수행하였다. 평가결과, 2지점 모두 부영양 상태의 호소로 나타나 부영양에 대한 대책이 필요한 것으로 조사되었다. 또한, TN/TP 비에서 볼 때 인이 제한요인으로 작용하는 호소로 나타나 인을 제거하는 수질개선책을 강구해야 할 것으로 판단되었다. 회야호의 수질개선을 위해 퇴적물을 준설할 경우를 가정하여 WASP7 모형을 이용하여 용출저감 10%, 용출저감 40% 및 용출저감 60%의 세 가지 시나리오로 가정하여 시뮬레이션을 수행하였다. 준설을 통한 용출저감이 10%일 경우, 회야호 1지점에서는 TN이 0.9%, 2지점에서는 0.6% 저감되었으며, TP의 경우는 1.3%와 0.8%가 저감되는 것으로 예측되었다. 그리고 용출저감 60%를 가정한 시나리오 3의 경우는 TN이 회야호 1지점에서 6.4%, 회야호 2지점에서는 3.9% 저감되는 것으로 예측되었으며, TP의 경우는 각각 9.3%, 5.6% 저감되는 것으로 예측되었다.

• 대한공간정보학회지
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• 제4권2호
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• pp.35-45
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• 1996

호수의 수질관리시 가장 중요한 수질인자 중의 하나인 클로로필의 반사도를 측정하여 가시광선과 근적외선 영역에서 클로로필의 파장별 반사특성을 파악하였고, 클로로필 반사도 스펙트럼에 TM데이터를 적용시켜 TM데이터만으로 클로로필 농도를 추정할 수 있는 변환식을 유도하였다. 또한 1995년 6월 20일과 1996년 3월 18일자의 LANDSAT TM데이터와 위성 통과시간에 대청호에서 측정한 클로로필의 상관관계로부터 회귀모델을 유도하여 대청호 전역의 영양상태 분포도를 작성하였고 계절에 따른 영양상태를 평가하였다.