• Journal of Wetlands Research
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• v.20 no.4
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• pp.417-423
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• 2018

It analyzed the efficiency of the runoff reduction of artificial reservoir by analyzing the influent and effluent of reservoir located downstream of the livestock area. Production of non point pollutants in livestock feeding areas, which is located at steep slope land, was mainly due to first flushes. Suspended Solid concentration of influent increased due to amount of rainfall, and T-P also increased over four times and 30 % of total nitrogen increased on average compared to those of dry season. While the concentration of nitrate nitrogen showed little variation, ammonia nitrogen increased over two times. The storage style nonpoint reduction facility showed the highest removal efficiency of 53 % for total phosphorus in dry weather, when the removal efficiency was 37 % for suspended solids, 10% for organic compounds, and 5 % for total nitrogen. Since algal bloom grows due to eutrophication in summer, the minus removal efficiencies of nitrogen concentration through the reservoir occurred with high frequency. Removal efficiency decreased during rainfall, showing 60 % for supended solids, and 22 % for total phosphorus. While having over nine times of capacity than the standard of non-point removal facility from Ministry of Environment, it was impounded with water during rainy season, showing not enough nonpoint removal efficiency, which indicates that maintenance is also an important factor to the nonpoint removal efficiency.

• Korean Journal of Ecology and Environment
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• v.56 no.2
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• pp.127-139
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• 2023

Daechung Reservoir has been suffering from severe cyanobacterial blooming periodically due to the water pollutants from the watershed, especially nutrients from nonpoint sources. As a countermeasure, an artificial wetland was constructed to mitigate the pollutant load from the watershed by utilizing the vegetation. We investigated the water quality of the influent and outflow of the wetland during years 2014~2020 to evaluate the performance of pollutant removal through the wetland. Major pollutants (e.g. BOD, COD, SS, T-N, and T-P) were largely reduced during the retention in the wetland while nutrients removal was more efficient than that of organic matters. Pollutant removal efficiency for different inflow concentrations was also investigated to estimate the wetland's capability as a way of managing nonpoint sources. The efficiency of water treatment was significantly higher when inflow concentrations were above 75^th percentile for all pollutant, implying the wetland can be applied to the pre-treatment of high pollution load including initial rainfall runoff. Furthermore, the yearly variation of removal efficiency for seven years was analyzed to better understand long-term trends in water treatment of the wetland. The annual treatment efficiency of T-P was very high in the early stages of vegetation growth with high concentration of inflow water. However, it was confirmed that the concentration of inflow water decreased, vegetation stabilized, and the treatment efficiency gradually decreased as the soil was saturated. The findings of the study suggest that artificial wetlands can be an effective method for controlling harmful algal blooms by alleviating pollutant load from the tributaries of Daechung Reservoir.

• Proceedings of the KAIS Fall Conference
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• 2004.11a
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• pp.306-309
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• 2004

홍제천 유역의 비점오염원 유출부하를 분석하기 위해 강우시 하천 유량 및 수질 발생 특성, 유출고 및 유출계수 분석, 비점오염원 유출부하특성 및 원단위 산정 등에 대하여 연구하였다. 유량 및 유량가중평균농도의 경우 각 조사 시기별 강우사상에 많은 영향을 받아 크게 증가하였다가 감소하는 경향을 나타내고 있으며, 강우 1차$\~$3차 조사시기 동안 상류에서 하류로 유하 할수록 농도의 변화가 일정하지 않은 것으로 나타났다. 지점별 유출계수를 살펴보면, 구기천 및 신영천 유역 중 투수층인 산지지형이 넓게 분포되어 있어 유출계수가 낮게 산정되었으며, 구간별 배수구역 면적을 고려한 강우시 비점오염원 부하를 산정한 결과를 살펴보면 SS의 유출부하가 높게 나타나 부유물질의 주된 성분이 생물학적으로 분해 가능한 성분이기보다는 하상 퇴적물질 및 생물학적으로 난분해성 유기물질일 것으로 사료된다.

• Proceedings of the KAIS Fall Conference
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• 2007.11a
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• pp.390-392
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• 2007

강우시 발생되는 강우유출수는 배수구역내 지표오염물질로부터 기인한 다양한 오염물질을 포함하고 있으며 전세계적으로 이에 대한 많은 연구가 진행중에 있다. 초기강우시 산업공단에서 발생되는 지표유출수내 오염물질의 특성은 아직도 완벽하게 이해되고 있지 못하고 있다. 본 연구는 산업공단을 대상으로 강우시 지표유출수의 수질과 특성을 분석 평가하였고 시료채취는 공단을 배수구역별 4개 구역으로 구획 후 해당 배수구역에 대해 grab sampling 방법을 적용하였다. 석유 화학산업과 일반 야적장 등에서는 BOD, COD, SS, TN 등의 일반오염물 항목들이 주로 검출된 반면, 기계 금속산업, 고철야적장 지역에서는 중금속 항목의 오염물이 고농도로 측정되었다. 산업공단에서 발생하는 지표유출수내 오염물질들은 대부분 업종과 연관성을 나타내었고, 각 지점별 발생 오염물질의 농도는 오염물질의 노출정도 및 강우사상의 특성에 따라 결정되어지는 것으로 나타났다.

• Korean Journal of Soil Science and Fertilizer
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• v.44 no.3
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• pp.425-433
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• 2011

In order to obtain optimum pre-treatment methods and improve T-N and T-P removal efficiencies, removal rates of pollutants in small-scale livestock wastewater treatment apparatus with water plant filtration bed or activated sludge tank were investigated. Based on the results from the optimum pre-treatment in small-scale livestock wastewater treatment apparatus, removal efficiencies of pollutants in livestock wastewater treatment plant with water plant filtration and activated sludge beds. The removal rates of COD, SS, T-N, and T-P in effluent were 83, 89, 63 and 87% in small-scale livestock wastewater treatment apparatus with water plant filtration bed, respectively. The removal rates of COD, SS, T-N, and T-P in effluent were 96, 95, 86 and 92% in small-scale livestock wastewater treatment apparatus with activated sludge tank, respectively. For increasing the COD, SS, T-N, and T-P removals in small-scale livestock wastewater treatment apparatus, the water plant filtration and activated sludge beds are recommended. In livestock wastewater treatment plant with water plant filtration ($1^{st}$ treatment) and activated sludge ($2^{nd}$ treatment) beds, the concentrations of COD, SS, T-N, and T-P in effluent were 39, 15, 42 and $1mg\;L^{-1}$, respectively. It was shown that the concentrations of COD, SS, T-N, and T-P met acceptable effluent quality standard for livestock wastewater. Based on the above results, the removal rates of COD, SS, T-N, and T-P in effluent were over 99.8, 99.9, 99.2, and 99.9% in livestock wastewater treatment plant, respectively.

• Journal of Animal Environmental Science
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• v.13 no.3
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• pp.153-160
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• 2007

Study for the effect of three different microbial feed additives(henceforth MA-A, MA-B, and MA-C) on feed coversion rate, and physical and chemical characteristics of swine finisher was conducted. MA-B had higher number of Lactobacillus spp. and yeast, compared to any other. The amylase activity of MA-B was also higher than any other. The daily feed intake rates of pigs fed control, MA-A, MA-B and MA-C were 3.15, 3.14, 3.31 and 3.42 kg, respectively. MA-C had the highest weight gain. However, there was no significant difference between treatments. The weights of feces daily excreted by pigs fed control, MA-A, MA-B, and MA-C were 2.14, 2.02, 2.18, and 2.23 kg/day, respectively. The volume of urine daily excreted by pigs fed control, MA-A, MA-B, and MA-C were 3.14, 3.26, 3.27, and $3.41\;{\ell}/day$, respectively. Water content, T-N, $P_{2}O_{5}$, and $K_{2}O$ in swine manure were not significantly different between treatments. The BOD were between 42,576 and $67,450\;mg/{\ell}$ for feces and were between 5,882.5 and $8,657.5\;mg/{\ell}$ for urine, respectively. The SS were between 138,000 and $180,000\;mg/{\ell}$ for feces and were between 875.0 and $1450.0mg/{\ell}$ for urine, respectively.

• Journal of Korea Water Resources Association
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• v.47 no.2
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• pp.145-159
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• 2014

This study is to evaluate the future climate change impact on turbidity water and eutrophication for Chungju Lake by using CE-QUAL-W2 reservoir water quality model coupled with SWAT watershed model. The SWAT was calibrated and validated using 11 years (2000~2010) daily streamflow data at three locations and monthly stream water quality data at two locations. The CE-QUAL-W2 was calibrated and validated for 2 years (2008 and 2010) water temperature, suspended solid, total nitrogen, total phosphorus, and Chl-a. For the future assessment, the SWAT results were used as boundary conditions for CE-QUAL-W2 model run. To evaluate the future water quality variation in reservoir, the climate data predicted by MM5 RCM(Regional Climate Model) of Special Report on Emissions Scenarios (SRES) A1B for three periods (2013~2040, 2041~2070 and 2071~2100) were downscaled by Artificial Neural Networks method to consider Typhoon effect. The RCM temperature and precipitation outputs and historical records were used to generate pollutants loading from the watershed. By the future temperature increase, the lake water temperature showed $0.5^{\circ}C$ increase in shallow depth while $-0.9^{\circ}C$ in deep depth. The future annual maximum sediment concentration into the lake from the watershed showed 17% increase in wet years. The future lake residence time above 10 mg/L suspended solids (SS) showed increases of 6 and 17 days in wet and dry years respectively comparing with normal year. The SS occupying rate of the lake also showed increases of 24% and 26% in both wet and dry year respectively. In summary, the future lake turbidity showed longer lasting with high concentration comparing with present behavior. Under the future lake environment by the watershed and within lake, the future maximum Chl-a concentration showed increases of 19 % in wet year and 3% in dry year respectively.

• Proceedings of the KAIS Fall Conference
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• 2007.05a
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• pp.116-118
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• 2007

비강우시와 강우시 학장천의 수질은 BOD, COD, T-N, T-P, SS에 대해 각각 $11.0{\sim}31.3mg/L$, $15.6{\sim}31.4mg/L$, $5.762{\sim}15.937mg/L$, $0.918{\sim}1.291mg/L$, $18.1{\sim}31.41mg/L$와 $27.2{\sim}65.11mg/L$, $32.1{\sim}73.2rng/L$, $13.409{\sim}18.051mg/L$, $1.263{\sim}2.282mg/L$, $66.0{\sim}417.9mg/L$로 나타나 학장천은 전형적인 생활하수의 특성을 지녔으며, 강우시 발생되는 초기월류수에 다량의 비점오염물질이 포함됨을 알 수 있었다. 강우시 발생된 월류수의 유량을 측정한 결과 학장천의 유출계수는 $0.61{\sim}0.83$의 범위였고, 초기세척효과는 SS>T-N>COD>BOD>T-P>1 의 순서로 그 정도가 크게 나타났다. 학장천 초기월류수의 유량가중평균농도를 산정한 결과 대부분의 항목에서 청천시의 수질농도보다 높게 나타나 강우에 의한 월류수의 비점오염물질의 유출이 심각함을 알 수 있다.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.2046-2050
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• 2008

현재까지 우리나라에서 주로 사용되고 있는 2차원 흐름 해석 모형은 미연방 도로국(U.S. Federal Highway Administration)과 연계하여 Brigham Young University에서 개발된 SMS(Surface-Water Modeling System)모형이다. SMS모형 중 이송 확산 모형으로는 RMA-4가 포함되나 이 모형은 최신 수치기법을 반영하지 못하는 등의 문제점들로 인해 실제 물리적 현상을 모의에 있어서 한계를 가지고 있다. 따라서 물리적 현상에 대한 적절한 모의를 위해 여러 개선과정을 거쳐 RAM4가 개발되었다. 본 연구를 위해 점적분 유사량 측정기(P-61)와 대하천 유속계를 사용하여 대상구간의 SS자료 및 유속의 2차원적 분포를 취득하였고, SMS의 Pre-processing 기능을 이용하여 유한요소망을 구성하였다. 구성된 유한요소망과 흐름모형인 RMA-2를 사용하여 대상구간의 유속장을 모의하였다. 이때 모의된 유속장과 현장에서 취득한 유속분포를 비교하여 RMA-2를 검증하였고, SS자료와 RAM4로 모의된 농도장을 비교하여 RAM4를 검증하였다. 검증된 두 모형을 바탕으로 대상 구간에서 다량의 점오염원이 투입되는 가상의 시나리오를 선정 및 적용하여 오염물 이송 및 확산 거동에 대해 살펴보았다. 본 연구의 대상 하천은 형산강으로써, 유역 내에 경주시와 포항시가 위치하고 이 두 도시를 잇는 산업도로가 형산강 본류 위를 지나고, 또한 두 도시를 관류하고 있어 다른 국가하천과 마찬가지로 지속적이고 안정적인 수질관리가 필요한 하천이다, 모의구간은 형산강 본류 중 No. 68(안강 수위관측소 상류 약 350 m)에서 No. 48(부조 수위관측소 하류 약 200 m)까지로서, 약 4.3 km 구간을 모의 하였다. 모의구간 시점에서 약 0.35 km 지점에 산업도로의 일부분인 강동대교, 0.98 km 지점에 왕신천 유입, 1.35 km 지점에 수중보, 1.8 km 지점에 국당1교, 3.2 km 지점에 국당2교가 위치하며 구간 내에는 만곡 및 사행, 특히 수중보 전 후로 사주가 발달해있어 2차원 흐름 및 이송확산 모의에 적합하다고 판단되었다.

• Journal of Environmental Impact Assessment
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• v.23 no.3
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• pp.187-196
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• 2014

The objective of this study is to evaluate and analyze Osu stream watershed water environment system. The data were collected from January 2009 to December 2011 including water temperature, pH, DO, EC, BOD, COD, TOC, SS, T-N, T-P and discharge. The data were used for principle component analysis and factor analysis. The results are as followes. The primary factors obtained from both the principal component analysis and the factor analysis were BOD, COD, TOC, SS and T-P. Once principal component analysis and factor analysis have been performed with the collected data and then the results will be applied to both simple regression model and multiple regression model. The regression model was developed into case 1 using concentrations of water quality parameters and case 2 using delivery loads. The value of the coefficient of determination on case 1 fell between 0.629 and 0.866; this was lower than case 2 value which fell between 0.946 and 0.998. Therefore, case 2 model would be a reliable choice.The coefficient of determination between the estimated figure using data which was developed to the regression model in 2012 and the actual measurement value was over 0.6, overall. It can be safely deduced that the correlation value between the two findings was high. The same model can be applied to get TOC concentrations in future.