• 한국물환경학회지
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• 제32권6호
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• pp.600-627
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• 2016

Korea is one of the countries with a large veterinary antibiotics market, although antimicrobial resistance in bacteria is becoming a serious issue in many countries. The Korean government started to take interest in estimating the effects of livestock manure on rivers and agricultural soils and in monitoring of heavy metals, organic pollutants and antibiotics in the ambient water and soil. In this paper, pre-treatment methods to separate the selected antibiotics from solid samples were reviewed. It is essential to select an efficient and appropriate procedure for pre-treatment due to the high proportion of proteins and organics in biosolid samples. Pre-treatment consists of extraction followed by clean-up. Initially, homogenized samples were extracted by sonication, mechanical agitation or pressurized liquid extraction with methanol/acetonitrile/water mixture under acidic/basic conditions depending on the compound. However, aminoglycosides and colistin were extracted with 5% trichloroacetic acid and HCl, respectively. Since the ${\beta}-lactams$ are easily decomposed in acidic and basic conditions, they were extracted in neutral pH. Filtration with a membrane (pore size, $0.2{\mu}m$) or solid phase extraction with HLB and methanol, as eluents, was normally applied for the clean-up. At least, three different pre-treatment procedures should be adopted to screen all the selected antibiotics in solid samples.

• 상하수도학회지
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• 제35권1호
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• pp.83-91
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• 2021

The increased turbidity in rivers during flood events has various effects on water environmental management, including drinking water supply systems. Thus, prediction of turbid water is essential for water environmental management. Recently, various advanced machine learning algorithms have been increasingly used in water environmental management. Ensemble machine learning algorithms such as random forest (RF) and gradient boosting decision tree (GBDT) are some of the most popular machine learning algorithms used for water environmental management, along with deep learning algorithms such as recurrent neural networks. In this study GBDT, an ensemble machine learning algorithm, and gated recurrent unit (GRU), a recurrent neural networks algorithm, are used for model development to predict turbidity in a river. The observation frequencies of input data used for the model were 2, 4, 8, 24, 48, 120 and 168 h. The root-mean-square error-observations standard deviation ratio (RSR) of GRU and GBDT ranges between 0.182~0.766 and 0.400~0.683, respectively. Both models show similar prediction accuracy with RSR of 0.682 for GRU and 0.683 for GBDT. The GRU shows better prediction accuracy when the observation frequency is relatively short (i.e., 2, 4, and 8 h) where GBDT shows better prediction accuracy when the observation frequency is relatively long (i.e. 48, 120, 160 h). The results suggest that the characteristics of input data should be considered to develop an appropriate model to predict turbidity.

• 해양환경안전학회:학술대회논문집
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• 해양환경안전학회 2017년도 추계학술발표회
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• pp.235-235
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• 2017

• 한국물환경학회지
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• 제33권6호
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• pp.769-779
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• 2017

Nutrient (i.e., nitrogen and phosphorus) budgets are required under a 'Livestock Excreta Survey'. A nutrient budget is one of the agri-environmental indicators that calculates the difference between the inputs and outputs of the amount of nutrients within a certain boundary and for a certain time period (e.g., 1 year). In this study, a nutrients budget model was developed to effectively determine the surplus of nutrients within a region in Korea. The C# program language was used in order to facilitate the deployment of a graphical user interface (GUI) and to enhance compatibility. Also, the model was developed on Windows OS, which is the commonly used operating system in Korea. The model was based on the OECD/Eurostat nutrient budget method, and it was modified to consider manure composting procedures as well. There are key features of the nutrient budget model, including directly use of the original data sets from various input and output sources, and a collectively exchange of the address in different formats. The model can quickly show the results of various spatial and temporal resolutions with the same data, as well as perform a sensitivity analysis with coefficients and easily compareresults using tables and graphs. Further, it would be necessary to study the extension of the scope of utilization, such as the application of various nutrient budget methods. It would also be helpful to investigate both pre and postprocessing information such as linking input data through online systems.

• 한국물환경학회지
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• 제31권6호
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• pp.700-714
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• 2015

The characteristic of the water quality and pollutant discharge was analyzed at the units watershed of the total amount management in Han-river basin, and after classified in a similar area by multivariate statistical analysis, the main trend such as the water quality trend and pollutant discharge characteristic were analyzed. As a result of this study, the density of the pollutant at the unit watershed is not necessarily identified as discharge density, and the primary management watershed and targeted substances were analyzed depending on the operating status of the environmental infrastructure in watershed and the main pollution factor and discharge path per pollutants. As a result of cluster analysis, watersheds were classified into four groups according to discharge characteristics. It will be used when selecting target area of primary management that is appropriate to the characteristics of each river and establishing efficient water quality improvement plans.

• 상하수도학회지
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• 제33권1호
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• pp.1-8
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• 2019

In this paper, the current water management organization of the Korean government and those of foreign countries were analyzed to draw out a plan to build a more rational water management organization. And then, the two organization reform alternatives were discussed on which alternatives can effectively manage the water. Through the analysis, deployment of three divisions including the water policy, the wastewater policy and the division of water industries and business are the best alternative in terms of water equality, sustainability and efficiency, which are the three main goals of the new Water Management Act, Water Management Basic Act. With much efforts, the Korea has come to the era of One Water Management. The water management paradigm proposed in this opinion is expected to become a new engine of economical growth of the nation.

• Environmental Engineering Research
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• 제22권2호
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• pp.203-209
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• 2017

Innovations in the biofiltration process can provide effective solutions to overcome crucial water pollution problems. The elimination of pollutants is a result of the combined effects of biological oxidation, adsorption and filtration processes. This research aims to evaluate the performance of quartz sand biofiltration for removing total suspended solids, turbidity, color, organic matter, and ammonium from polluted river water and develop an empirical model for designing quartz sand biofilters for the treatment of polluted river water. Experiments were conducted using two biofilter units filled with quartz sand as filter media. A set of experiments were performed to evaluate the effect of hydraulic retention time on biofilter performance in removing water contaminants. The kinetics of organic matter removal were also determined to describe the performance of the biofilter. The results show that biofiltration can significantly remove river water pollutants. Removal efficiency depends on the applied hydraulic retention time. At a hydraulic retention time of two hours, removal efficiencies of total organics, ammonium and total suspended solids were up to 78%, 82%, and 91%, respectively. A model for designing quartz sand biofiltration has been developed from the experimental data.

• 환경정책연구
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• 제10권4호
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• pp.61-80
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• 2011

생분해성 물질 지표인 BOD 중심의 환경규제와 환경기초시설의 집중 투자로 인하여 전국적인 BOD 오염도는 지속적으로 개선되었다. 그러나 COD 등의 난분해성 물질은 주요 상수원을 포함하여 전국적으로 정체 또는 증가 추세를 보임에 따라 BOD 관리체계의 한계를 드러냄과 동시에 정체수역 증가와 같은 수체 특성변화의 반영 등 달라진 환경여건을 반영할 수 있는 지표의 필요성이 끊임없이 제기되고 있다. 따라서 본 논문에서는 수체의 변화된 유기물질 오염상태를 적절히 관리할 수 있는 유기물질 관리지표를 선정하였다. 지표전환의 항목으로 $COD_{Cr}$와 TOC를 검토해 본 결과 $COD_{Cr}$보다는 TOC를 향후 유기물질 관리지표로 선정함이 적정한 것으로 나타났다. TOC는 유기물지표로서 대표성,국제적 통용성, 모니터링 프로그램의 용이성, 분석기술의 유무, 정밀도 및 정확도, 분석에 소요되는 시간, 운전의 용이성, 소독부산물의 관리, 기존정책과의 연계성, 외국사례여부, 국내적용사례, 수생태계와의 상관성 등에 대한 평가 결과 타당한 것으로 나타났다.

• 한국물환경학회지
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• 제24권6호
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• pp.767-772
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• 2008

Studies regarding the application of the impervious cover rate as a watershed management index have increased in number due to concerns over watershed management. The impervious cover rate is suggested as an index that can manage not only water quality but also water volume and the water ecosystem. This study intends to prove its applicability through the interconnection of the impervious cover rate and the water environment in Korea. Analysis of a selected watershed with reference to impervious cover rates showed that a watershed with an impervious cover rate of over 30% had a direct runoff in excess of 60% of precipitation, while a watershed with an impervious cover rate of 7% had a direct runoff of 39%. Watersheds with higher impervious cover rates were also found to have higher BOD, though different watersheds showed slightly different aspects in connection with BOD. Monitoring of benthic macroinvertebrates showed that species inhabiting clean water appear more frequently in areas with lower impervious cover rates than areas with higher impervious cover rates, and in mainstream areas, relatively larger numbers of species appeared in areas with lower impervious cover rates. This suggests that impervious cover rates can be appropriately used as an index for watershed management, as it effectively represents changes to the water environment.

• 한국물환경학회지
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• 제21권6호
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• pp.659-663
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• 2005

Many studies have been conducted to develop new technologies for arsenic removal and to reveal the levels of arsenic and other chemicals in rivers, lakes and ground waters. However, there are few studies dealing with such compounds in the total water system of the city, and the way of management of these compounds in the water system. Because the occurrence of these hazardous compounds, which are geological origins, is almost impossible to control, it is very important to manage these compounds in the water system. In this research, it was revealed that the risk of arsenic in the water treatment system of S city in Japan. As a results, the parameters such as Q in river and E260 in drinking water treatment plant is proposed as a new indicator with simple and rapid method for controling arsenic level.