• 물과 미래
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• 제29권3호
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• pp.177-186
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• 1996

낙동강 하류부에서의 오니준설에 따른 수질영향분석을 위해서 QUAL2E 모형에 의한 해석을 실시하였다. 남지에서 하구언 구간에 대해서 다양한 유량조건에 대한 수리학적 부등류 해석을 실시하였다. 최적의 반응계수 추정을 위해서 BFGS 기법에 의한 해석을 실시하였고, 이것을 기초로 모형의 검증을 실시하였다. 낙동강 하류부의 오니 준설에 따른 주요 지점별 BOD 및 DO에 대한 수질개선 효과를 저수량, 평수량 그리고 대안조건에 대해서 실시하고 그 결과를 제시하였는데 하상하오니의 제거가 수질개선에 미치는 효과는 비교큰 것으로 나타났다.

• 한국수자원학회논문집
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• 제54권7호
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• pp.495-507
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• 2021

최근 도시와 산업의 발달과 함께 하천, 호소 등 수환경에서의 수질 오염사고가 빈번하게 일어나고 있어 어류폐사, 취수중단, 친수활동 저해 등 심각한 수생태계 및 사회경제적 피해가 발생하고 있다. 따라서 이에 대한 대응책으로 수질모델링을 통한 오염물질의 이동 및 확산에 대한 사전 예측이 필요하다. 본 연구에서는 2차원 하천흐름/수질해석 프로그램인 RAMS+의 현장 적용성 및 예측 정확도를 검증하기 위해 만곡하천인 섬강에서 현장실험을 수행하였다. 모의결과 흐름해석모형 HDM-2Di와 수질해석모형 CTM-2D-TX는 현장실험에서 관측된 2차원 흐름 특성과 오염물질의 거동 및 혼합 양상을 정확하게 재현하였다. 특히 하천의 양안과 만곡부에서 국부적으로 발생하는 저유속 흐름에 의해 오염물질의 거동이 지체되는 저장대 효과를 정확하게 모의하였다. 나아가서 하천 만곡부에서 이차류가 야기하는 오염물질 3차원적 혼합 양상을 2차원 분산계수를 통해 효과적으로 재현하였다. 오염물질의 위험농도 체류시간은 취수중단 기간을 결정하는데 있어 매우 중요한 요소이다. 본 연구에서는 CTM-2D-TX 모의결과를 기반으로 오염물질 위험농도 체류시간을 계산하였고, 위험농도 체류시간의 공간적 분포가 하폭방향으로 큰 편차를 지니고 있음을 확인하였다. 이러한 오염물질의 2차원적 체류 특성은 1차원 수질모형을 통해서는 예측이 불가능하기 때문에 효율적이고 정확한 수질사고대응을 위해 2차원 수질모형의 활용이 필요함을 본 연구의 결과는 시사하고 있다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2005년도 학술발표회 논문집
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• pp.474-477
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• 2005

The Industrial development and the Increase in population have brought out a rapid increase of wastewater discharge. To deal with this matter, much estimate has been spend on construction and management of a large scale sewage treatment plant. Although every effort has been carried out, river water quality has no significantly improved. Especially. the aggravation of the water quality in dry season is brought out a serious social problem. The purpose of this study Is the development of an optimal water quality management technique considering the efficient control of the multiple pollutant load associated with the total pollutant load control. A GUI(Graphical User Interface) system named 'QL2-XP' model is developed by object-oriencted language for the user convenience and practical usage. Suggested GUI system consist of hydraulic analysis. water quality analysis, optimized model calibration processes, and postprocessing the simulation results.

• 한국수자원학회논문집
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• 제41권8호
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• pp.835-843
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• 2008

한국에서는 증가하는 용수수요에 대처하기 위해 1990년대부터 낙동강 유역의 지자체들에서 강변여과수를 활용하고 있다. 본 연구에서는 서울의 원수수질 안정을 위한 방안으로 강변여과 도입의 타당성을 검토하였다. 선행 논문에서 계층분석과정(AHP)에 의해 선택된 광나루지구에 대한 개발가능량 평가를 위해 지하수 모델링이 수행되었다. 광나루지구에서는 생태계보존지역 등을 고려하여 하천부지 약 1,200m 구간에 대해 관정시스템을 구축할 수 있을 것으로 파악되었다. 취수량을 늘리기 위한 방안으로 인공호수의 조성이 제안되었다. 80m 간격으로 16개의 관정을 설치할 경우 적정개발량은 연간 약 2,336만$m^3$으로 산정되었다.

• Environmental Engineering Research
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• 제23권1호
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• pp.99-106
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• 2018

Lack of information on the Biochemical Oxygen Demand (BOD) decay rates of river water under the tropical environment has triggered this study with an aim to fill the gap. Raw sewage, treated sewage, river water and tap water were mixed in different proportions to represent river water receiving varying amounts and types of wastewater and fed in a laboratory flume in batch mode. Water samples were recirculated in the flume for 30 h and BOD and Carbonaceous BOD (CBOD) concentrations were measured at least six times. Decay rates were obtained by fitting the measured data in the first order kinetic equation. After conducting 12 experiments, the range of BOD and CBOD decay rates were found to be 0.191 to 0.92 per day and 0.107 to 0.875 per day, respectively. Median decay rates were 0.344 and 0.258 per day for BOD and CBOD, respectively, which are slightly higher than the reported values in literatures. A relationship between CBOD decay rate and BOD decay rate is proposed as $k_{CBOD}=0.8642_{k_{BOD}}-0.0349$ where, $k_{CBOD}$ is CBOD decay rate and $k_{BOD}$ is BOD decay rate. The equation can be useful to extrapolate either of the decay rates when any of the rates is unknown.

• 환경영향평가
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• 제20권4호
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• pp.509-521
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• 2011

The purpose of this study is to estimate overall reliability and applicability of the watershed modeling for systematic management of point and non-point sources via water quality analysis and prediction of runoff discharge within watershed. Recently, runoff characteristics and pollutant characteristics have been changing in watershed by anomaly climate and urbanization. In this study, the effects of watershed scale were analyzed in runoff and water quality modeling using HSPF. In case of correlation coefficient, its range was from 0.936 to 0.984 in case A(divided - 2 small watersheds). On the other hand, its range was form 0.840 to 0.899 in case B(united - 1 watershed). In case of Nash-Sutcliffe coefficient, its range was from 0.718 to 0.966 in case A. On the other hand, its range was from 0.441 to 0.683 in case B. As a result, it was judged that case A was more accurate than case B. Therefore, runoff and water quality modeling in minimum watershed scale that was provided data for calibration and verification was judged to be favorable in accuracy. If optimal watershed dividing and parameter optimization using PEST in HSPF with more reliable measured data are carried out, more accurate runoff and water quality modeling will be performed.

• 한국농공학회논문집
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• 제57권2호
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• pp.27-36
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• 2015

The objective of this paper was to quantitatively analyze the effect of concentrated animal feeding operations (CAFO) NPS pollution on a small watershed water quality. Monitoring was conducted from March to October, 2013. Monthly flow rate and selected water quality at each monitoring site were measured during dry days. Rainy day monitoring also was conducted. Modeling was conducted to evaluate the effect of CAFO NPS pollution on the water quality at the watershed outlet. The highest and mean concentration of selected water quality indices during rainy days were higher than those in dry days in general. The highest TN concentration measured at the CAFP pollution discharge point was 237.831 mg/L. The results revealed that the CAFO NPS pollution sources could be equally blamed for the water quality degradation of the stream. However, the effect of the NPS pollution from CAFOs seemed not to be very influential to the watershed water quality at the outlet. SWAT modeling revealed that the TN load was reduced by 18.95 %, 23.39 % and 30.53 % at the watershed outlet if the TN load at the CAFO NPS pollution discharge point reduced by 20 %, 40 % and 60 %, respectively. It was thought that the natural attenuation processes played an important role. The modeling was based only on the assumption of the load reduction and not verified by the monitored data. Therefore, it was suggested that a long term monitoring studies for the evaluation of the impact of CAFO NPS pollution on the watershed water quality be conducted.

• 농업과학연구
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• 제46권1호
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• pp.67-78
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• 2019

The purpose of this study was to predict the water quality using the RNN (recurrent neutral network) and LSTM (long short-term memory). These are advanced forms of machine learning algorithms that are better suited for time series learning compared to artificial neural networks; however, they have not been investigated before for water quality prediction. Three water quality indexes, the BOD (biochemical oxygen demand), COD (chemical oxygen demand), and SS (suspended solids) are predicted by the RNN and LSTM. TensorFlow, an open source library developed by Google, was used to implement the machine learning algorithm. The Okcheon observation point in the Geum River basin in the Republic of Korea was selected as the target point for the prediction of the water quality. Ten years of daily observed meteorological (daily temperature and daily wind speed) and hydrological (water level and flow discharge) data were used as the inputs, and irregularly observed water quality (BOD, COD, and SS) data were used as the learning materials. The irregularly observed water quality data were converted into daily data with the linear interpolation method. The water quality after one day was predicted by the machine learning algorithm, and it was found that a water quality prediction is possible with high accuracy compared to existing physical modeling results in the prediction of the BOD, COD, and SS, which are very non-linear. The sequence length and iteration were changed to compare the performances of the algorithms.

• 상하수도학회지
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• 제28권3호
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• pp.265-276
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• 2014

In this study, we suggested 4 plans to reduce non-point pollutant sources in Dongcheon and analyzed their controlling effects by water quality modeling, XP-SWMM. To do this we identified the influx of non-point pollutant sources to the initial rainwater through the water quality survey in the river and analyzed the causes of them at major locations, and suggested 4 kinds of plans reducing non-point pollutant sources. Plans reducing the non-point pollutant sources through cleaning the industrial road around the river(plan A), through a separate treatment facilities like the gutter(plan B), through installing treatement facilities(plan C), or through combing plan B and C(plan D) were analyzed using XP-SWMM model. The analysis showed that plan A, B, C and D reduced non-point pollutant sources average 21.7 %, 24.7 %, 49.3 %, 56.7 % respectively. Therefore, the water quality pollution in Dongcheon due to the influx of non-point pollutant sources is considered to be reduced effectively though cleaning the road, installed at the exits of paddy or factory basins, invasion type facilities or equipment-type facilities.

• 한국물환경학회지
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• 제23권6호
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• pp.807-813
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• 2007

Settling velocity is one of major parameters determining algal biomass in water quality modeling. In this study, the settling velocity of phytoplankton was measured in reservoir and stream sites of the Nakdong River, Korea. Settling velocities of various phytoplankton species were determined by measuring algal cell biomass settled in a sedimentation cylinder. Mean settling velocities were $0.22m\;day^{-1}$ in reservoir sites and $0.33m\;day^{-1}$ in stream sites, which were relatively higher compared with other default values suggested by water quality models (e.g. $0.1m\;day^{-1}$ in CE-QUAL-W2). The lower settling velocity in reservoirs than in stream implies the adaptation of phytoplakton to low turbulence in lentic environments. Cyanobacteria showed lower settling velocity ($0.2m\;day^{-1}$) than diatoms ($0.3m\;day^{-1}$), and this phenomenon may have resulted from buoyancy mechanisms of cyanobacteria. Cell volume did not show a significant correlation with settling velocity in this study, implying that conformation factors of colonies or other factors had large effects on settling velocity of algal cells as well as cell size. The result of this study may suggest proper coefficients of settling velocity of phytoplankton in the calibration of water quality model.