• Journal of Korean Society of Environmental Engineers
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• v.30 no.5
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• pp.544-551
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• 2008

QUAL2K enhanced QUAL2E and applied in real fields efficiently incorporates denitrification process, sediment-water interaction process, bottom algae and detritus. Also, the CBOD of QUAL2K is divided into two real parts, one is slow CBOD(sCBOD) and another is fast CBOD(fCBOD). The simulation results of QUAL2E and QUAL2K models in Anyang Stream were compared and analyzed in water quality constituents of DO, BOD, Org-N, NH$_3$-N, NO$_3$-N, Org-P, Dis-P and Chl-a respectively. The similar results were shown in Org-N, NH$_3$-N, Org-P and Chl-a both QUAL2K and QUAL2E models. But the different results were revealed in DO, BOD, Dis-P and NO$_3$-N by the influence of new incorporating processes. DO was shown relatively low values in the effect of bottom algae. BOD which is influenced by particulate organic matter was revealed high values. NO$_3$-N was closed to the real values by the two processes of denitrification and sediment-water interaction. To evaluate the running results of QUAL2K and QUAL2E models, a simple statistical analysis was conducted. According to the statistical analysis, QUAL2K represented less relative error and coefficient of variation than QUAL2E in almost all of constituents. It was found that QUAL2K, which simulates the water quality more realistically, can be applied to control and manage the water problems of river or river-run reservoir effectively.

• Journal of Korean Society on Water Environment
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• v.22 no.6
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• pp.1144-1150
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• 2006

Recently, as water pollution accidents in rivers have increased, there is an increased interest in water quality forecast with accurate simulation. QUAL2E model, widely used for water quality analysis, uses the same hydraulic characteristics, such as depth and velocity, in a reach. The flow of the river is changed by various hydraulic constructions or by topography in a real river channel. In this study, a hydraulic connection module is developed to consider flow variations of river channels in QUAL2E model. The module uses the simulations results of non-uniform flow of a 1-D hydraulic model such as DWOPER or HEC-RAS. The improved QUAL2E model with this module was applied to a downstream section of Paldang Dam on the Han River. The results show the variation of water quality very well in a reach where flowing vary abruptly, like the Jamsil submerged weir.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.780-780
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• 2012

하천에서의 1차원 수질해석에 널리 사용되는 QUAL2E 모형은 전체 대상구간을 요소(element)로 구성하고 다시 수리학적으로 유사한 흐름특성을 가진 구간(reach)으로 구분하고 있다. 각 구간에서는 동일한 유속과 수심이 형성되는 것으로 가정하고 있기 때문에 자연하도의 다양한 흐름변화, 특히 자연하천의 보나 낙차공으로 인한 국부적인 흐름상태를 모형에 반영하기 어려우며, 이로 인한 실제 흐름특성과의 차이는 수질모의 해석결과에도 다양한 영향을 미치게 된다. QUAL2E 모형에서는 이와 같은 보나 낙차공의 수리학적 특성을 반영하기 위해 댐 계수옵션이 있으며, 이를 통해 흐름으로 인한 폭기 현상을 재현하도록 되어 있다. 본 연구에서는 모형 내 재폭기 계수에 대한 민감도 검토를 수행하였으며, 한강의 팔당댐부터 한강대교까지를 대상구간으로 잠실수중보로 인해 발생하는 재폭기 현상에 관해 연구하였다. 본 연구는 보나 낙차공이 있는 하천에 대해 QUAL2E 모형을 적용할 경우 용존산소(DO)를 비롯한 여러 가지 수질변수의 정확도 높은 예측에 기여할 것으로 기대된다.

• Journal of Korean Society on Water Environment
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• v.24 no.1
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• pp.54-62
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• 2008

It is often believed that a more complex water quality model is better able to simulate reality. The more complex a model, however, the more parameters are involved thus increases the cost and uncertainty of modeling processes. The objective of this study was to compare the performance of two steady-state river water quality models, QUAL2E and QUAL-NIER, that have different complexity. QUAL-NIER is recently developed by National Institute of Environmental Research aiming to enhance the simulation capability of QUAL2E for eutrophic rivers. It is a carbon based model that considers different forms, such as dissolved versus particulate and labile versus refractory, of carbon and nutrients, and the contribution of autochthonous loading due to algal metabolism. The models were simultaneously applied to Nakdong River and their performance was evaluated by statistical verification with field data. Both models showed similar performance and satisfactorily replicated the longitudinal variations of BOD, T-N, T-P, Chl.a concentrations along the river. The algal blooms occurred at the stagnant reaches of downstream were also reasonably captured by the models. Although QUAL-NIER somewhat reduced the magnitude of errors, the hypothesis tests revealed no statistical evidence to justify its better performance. The contribution of autochthonous carbon and nutrient load by algal metabolism was insignificant because the hydraulic retention time is relatively short compare to the time scale of kinetic reactions. The results imply that the kinetic processes included in QUAL-NIER are too complex for the nature and scale of the real processes involved, thus needs to be optimized for improving the modeling efficiency.

• Journal of Korean Society of Water and Wastewater
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• v.22 no.1
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• pp.121-129
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• 2008

Major factors affecting water quality in rivers are transportation, input of pollutant loads and kinetic transformation of pollutants. Government level decision makings on water quality management are based on steady state water quality modeling. However, it is more than often that such a steady state assumption is far from real situations in rivers. Therefore, it is unavoidable to have modeling errors in water quality modeling especially for steady state modeling for longer period of time. Authors attempted to identify sources of errors in results of steady state models and thus tried to find out ways to minimize those errors. Three water quality models, QUAL2E (Brown et al., 1983), QUAL2K (Chapra et al., 2006) and CAP (Seo and Lee, 2000) were applied to the lower stream of the Geum River. $BOD_5$ and COD tend to underestimate observed data while TN and TP showed relatively smaller errors. QUAL2E model provided best calibration results for BOD5 and TP and QUAL2K model showed best calibration results for TN. Since these errors are only relative values, it was difficult to conclude which model is better performing in certain situations. The most probable reasons for errors in water quality modeling are; 1) inappropriate consideration on flow characteristics, 2) lack of information on incoming pollutant load and 3) inappropriate location of sampling for water quality analysis.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.2
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• pp.96-108
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• 2011

Going abreast of high public concerns on the environment, the need of environmental modeling has been increased to assess the impact of space exploitation of environment. GIS offers potential solutions to the many problems encountered during water-quality modeling. But there are also many problems associated with the modeling. The preparation of necessary parameters for the modeling can be complicated. Also, the results from one model can be different from each other even the same area is analyzed. This paper aims to develop the data processing system to couple the Qual2E and HyGIS in which Qual2E input and output data files can be created, modified and processed using HyGIS and assess the performance of the system. A structural analysis and standardization of modeling are conducted to identify data flow and processing of Qual2E. Algorithms of the defined processors are designed and developed as component modules. The data model of HyGIS-Qual2E is designed, and GUI(Graphical User Interface) is developed using Visual Basic 6.0 and GDK.

• Proceedings of the Korea Water Resources Association Conference
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• 1993.02a
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• pp.401-493
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• 1993

하천 수질관리 실무에 가장 널리 사용되고 있는 QUAL2-E 모형에 대한 이론적 배경과 입력 자료의 준비, 결과의 분석 및 활용에 이르는 모형 적용상의 제반 과정에 대한 강의와 토론 후에 실습을 통하여 모형의 사용방법을 습득하도록 한다. 1. 수질오염 예측을 위한 이론적 기본틀 2. 우리나라 실무에서 사용중인 수질 관련 모형과 문제점 3. QUAL2-E 모형의 이론적 배경 3.1 모형의 구성 개념 3.2 하천 수리학적 특성 3.3 지형-기상학적 특성 3.4 수질 관련 인자 간의 기능적 상호관계 4. QUAL2-E 모형의 적용 절차 4.1 적용 가능한 수체 4.2 대상 오염물질(15종류) 4.3 수질예측과정 Flow Chart 4.4 입력자료의 구성 4.5 출력자료의 구성 5. QUAL2-E 모형의 실습

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.436-440
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• 2006

하천에 대한 수질해석을 위해 범용적으로 사용되는 QUAL2E 모형은 대상구간에 유사한 수리 특성을 가지는 구간(reach)을 설정하여 주어진 유량에 대해 동일한 수심과 유속을 가지도록 구성되어 있다. 하지만 실제 자연하도에서는 여러 가지 수공구조물이나 지형변화로 인해 흐름변화가 매우 다양하게 발생하고 있다. 본 연구에서는 범용적으로 사용되고 있는 DWOPER 모형이나 HEC-RAS 모형과 같은 1차원 수리해석모형의 부등류 모의결과를 QUAL2E 모형에서 활용함으로써 실제 하천에서 발생하는 국부적인 흐름특성을 수질해석에 반영할 수 있는 수리연계모듈을 개발하였으며, 이를 한강의 팔당댐 하류구간에 대해 적용하였다.

• Journal of Korean Society on Water Environment
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• v.25 no.5
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• pp.651-660
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• 2009

Detailed flow analysis in river is essential to increase the accuracy of water quality simulation since flow variation depends on many factors such as cross sections, channel slopes, and bed materials. In the QUAL2E stream water quality simulation model, the hydraulic coefficients are assigned to the reach that is collection of computational element using the hydraulic coefficient. This study developed a module that can incorporate the results of non-uniform flow analysis and assign such information to each individual element. Model application focused on the upstream of the Hoengseong reservoir including the reservoir where significant flow change is expected. Comparing with original QUAL2E model the developed module improved the result of water quality simulation without considering the relation of flow velocity and flow depth in terms of flow rates.

• Journal of Korea Water Resources Association
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• v.30 no.4
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• pp.411-420
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• 1997

QUAL2E-AFOSM model is developed to forecast the water quality by reliability analysis in the Nakdong River. A varied-flow analysis is performed for the reach of Waegwan to Mulgeum to estimate hydraulic parameters. An optimization technique by BFGS method is applied to determine the optimum reaction parameters and calibrations and verifications are performed based on these parameters. A reliability analysis for the stochastic analysis in a river is studied using the AFOSM method. The variations of water quality and discharge in the headwater, tributaries, and reaction coefficients are considered. Risks of violating existing water quality standards at several loactions in the Nakdong River are computed by using the QUAL2E-AFOSM method. The computed results computed by QUAL2E-AFOSM model agree with those of the Monte-Carlo method in QUAL2EU model.