• Journal of The Korean Society of Agricultural Engineers
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• v.54 no.6
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• pp.53-63
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• 2012

The objectives of this study were to develop a linked watershed-waterbody modeling system and to assess the impacts of indirect wastewater reuse on irrigation water quality. The Osan stream watershed within Gyeonggi-do of South Korea was selected for this study. The linked modeling system was composed of the SWAT (Soil and water assessment tool) and QUALKO2 models. The SWAT model was calibrated and validated using the stream discharge and water quality data from 2010 to 2011. Runoff and non-point source pollutants from each subbasin and stream discharge from 1980 to 2009 were simulated by the SWAT model and applied to the QUALKO2 model. The QUALKO2 model was calibrated and validated under the conditions of low water and normal discharges, respectively. Finally, The 10-day irrigation water quality from April to September was simulated. The statistical measures of coefficient of determination ($R^2$), reliability index (RI), and efficiency index (EI) were used to evaluate the system performance. The $R^2$, RI and EI values ranged from 0.5 to 1.0, 1.03 to 1.92, and -35.03 to 0.95, respectively. The 10-day irrigation water quality showed the concentrations of BOD and coliform exceeded the water quality guidelines for wastewater reuse. The linked modeling system can be a useful tool to estimate non-point source pollutant loads in watershed and to control the water quality of effluent from a wastewater treatment plant and irrigation water in the downstream waterbody.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.2058-2062
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• 2009

1992년 한강수계법이 제정되면서 우리나라에 도입된 오염총량관리제는 현재 2차총량관리 시행계획수립 단계에 이르렀다. 오염총량제에서 수질모델은 수계구간별로 설정된 기준유량과 목표수질 조건을 달성하는 지를 판단할 수 있는 도구로 사용되며, 다양한 모델들이 사용되고 있다. 그 중 하천수질모형으로는 주로 QUAL2E, QUALKO, QUALKO2 모형으로 압축할 수 있다. QUAL2E 모형은 1980년대에 개발되어 국내외로 널리 이용하고 있으나 SOD를 0차나 일정량으로 처리하였고, 부착조류에 의한 용존산소 변화와 부유 조류 사멸시 발생하는 유기물이 고려되지 않았다. 또한 용존산소가 부족한 상태에서 반응이 활발한 탈질화과정이 포함되지 않아 이들 반응에 의해 수질이 영향을 받는 하천에 적용하기에는 한계가 있었다. 그리고 QUAL2E 모델은 여러 개의 지류를 가진 대형 하천에는 적용하기 어려운 단점이 있다. 국내에서는 1999년 QUAL2E 모델에 WASP5의 장점을 접목시켜 QUALKO 모델을 개발하였다. 이 모델은 QUAL2E에 부유성 조류의 사멸로 인한 유기물의 내부증가, 탈질화 반응 및 부착식물의 광합성 호흡 과정을 추가한 것이다. 또한 QUAL2E 모델에서 BOD는 CBOD로 입력되고 모의되므로 bottle BOD의 개념이 결여되어 있으므로 이러한 문제점을 보완하고, 조류의 생산 및 사멸에 의한 내부생산 유기물 증가와 탈질화 반응 과정을 추가한 것이다. 우리나라에서 진행되고 있는 총량관리 대상물질은 2010년까지는 $BOD_5$이며, 2011년부터는 일부 지역에 총인이 포함될 예정이다. 2007년에 실험실에서 측정하는 BOD5나 유기성 질소 또는 유기성 인을 그대로 입력하여 계산되고 출력할 수 있으며, 향후 오염총량제의 관리대상항목으로 논의되고 있는 TOC를 모의할 수 있는 QUALKO2가 개발되었다. 이에 본 연구에서는 향후 활용도가 클 것으로 기대되는 QUALKO2 모형에 기존 QUAL2E-UNCAS 모형에 서 수행할 수 있는 불확실성 해석 기법인 Monte Carlo 모의를 가능하도록 모형을 수정하고자 한다. 실제 하천에서의 수질해석에 대한 단순한 표현인 수학적 모형은 불확실성을 내포하고 있으며, Monte Carlo 해석을 사용하여 모형의 불확실도 정량화와 매개변수의 불확실성을 통계학적으로 기술할 수 있다. 또한 각 지점에 대한 계산결과치들에 대해 빈도 및 누가빈도분포 값을 제시함으로서 모형 예측치들의 전반적인 분포경향을 평가할 수 있으며, 하천수질에 대해서 환경기준치를 위배할 가능성을 산정하는데 활용할 수 있다. 우리나라 실정에 맞는 QUALKO2 모형에 Monte Carlo 모의를 통해 신뢰도 기반의 수질해석을 수행하게 된다면 수질정책의 기초자료 제공에 기여할 것으로 판단된다.

• Journal of Korea Water Resources Association
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• v.46 no.4
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• pp.413-424
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• 2013

The TMDL, the watershed-oriented water quality management policy, was introduced to inhibit the total amount of pollutant loading generation, and to develop the region environmentally friendly. However, despite the implementation of TMDL, the water quality of Nam river downstream has worsened continuously since 2005. Diverse pollution sources such as cities and industrial zone are scattered around the Nam river. Eutrophication are caused due to deterioration of water quality by low velocity. BOD concentrations in the eutrophic waters affected by the incoming BOD and the autochthonous BOD by the production of phytoplankton. In this study, the quantitative relation of incoming BOD and autochthonous BOD was analyzed for water quality management. The influence of autochthonous BOD was analyzed using QUALKO2 and QUAL2E. Considering the effects of Chl.a, BOD concentration from QUALKO2 model simulations is higher than BOD concentration from QUAL2E model. The results of QUALKO2 showed higher correlation with the measured data. Autochthonous BOD needs to be managed to solve the water pollution problem of Nam river downstream, which is looking for ways to reduce Chl.a by using the increase of the dam outflow and the improvement of the water quality from WWTP.

• Journal of the Korean Geotechnical Society
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• v.40 no.5
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• pp.77-92
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• 2024

This study investigates the impact of aluminum and water pollutants present in the effluent from wastewater treatment plants associated with agricultural and industrial facilities in the Geumgang waterway. The average aluminum concentration in the effluent from these facilities ranged from 0.19-3.14 mg/L. The R² values between the predicted and measured values at the confluence were 0.9237 and 0.9758, respectively, with an average aluminum concentration of 0.051 mg/L observed 10 km downstream. During the model calibration process, QUALKO2 outperformed QUAL2E, showing percent bias values of less than 11.9% and 18.9% for BOD and Chl-a, respectively. However, both models demonstrated similar performance in predicting T-N and T-P concentrations, as they both consider abiotic organic nitrogen and phosphorus. In conclusion, the impact of aluminum and water pollutants in the effluent from the Geumgang River agricultural and industrial complex wastewater treatment plant is relatively low. Nonetheless, for the safety of drinking water, continuous monitoring and proper maintenance of aluminum levels and water quality are essential.

• Journal of Environmental Impact Assessment
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• v.20 no.1
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• pp.25-36
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• 2011

In this study, the accurate water quality analysis in rivers, including the non-point source is performed. First of all, watershed model, SWAT(Soil and Water Assessment Tool) was applied to analyze the impact of the non-point source in study area. And then, water quality analysis integrating the point source and the non-point source is implemented using QUALKO model. For more exact simulation, it should be the calibration and verification of variables and parameters which are needed for simulation. In addition, the importance of considering the non-point source was confirmed in river water quality simulation. BOD, TN, TP were analysed, and the results shows that BOD, TN and TP concentration was increased to 16.8%, 8.2% and 25.8% respectively. The more accurate estimate will be carried if use of reliable measurements and watershed simulation be done in models linking process. The suggested technique will improve the accuracy of the water quality analysis. The methodologies presented in this study will contribute to basin-wide water quantity and quality management.

• Journal of Korea Water Resources Association
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• v.46 no.8
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• pp.873-884
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• 2013

In Korea, the rainfall is concentrated in summer under the influence of monsoon climate. Thus, even a small climate change can be significant problems in water resources. As a result, a lot of attention has been focused on climate changes and a number of researches have been conducted in a manner commensurate with the attention to the climate change. This study is intended to forecast the changes in the flow and water quality of the Nam river resulting from the future climate changes in the Nam river basin using a watershed and water quality model. An SWAT model, as a watershed hydrologic model, was established after estimating a climate scenario using an artificial neural network method, and the established model was verified and adjusted using date from the Ministry of Environment to evaluate the applicability of the model. As a consequence, $R^2$ showed more than 0.7 in the simulation test, which satisfies the minimum required level. Results from the SWAT model and the future Namgang dam discharge calculated by HEC-ResSIM is used as input date for QUALKO. The results showed a huge variation in BOD depending on the annual flow of the river, which recorded a maximum difference of 2 mg/L between a rainy season and a dry season. It can be deduced that because rainfall and the runoff of a basin significantly account for the water quality of a river, higher water concentrations are recorded in a dry season in which the flow is not as much as that in a rainy season. It also can be said that water should be reserved in advance to secure water in the Nam river downstream for a dry season and be controlled in an effective and efficient manner to provide better water quality.

• Journal of Industrial Technology
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• v.30 no.B
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• pp.125-135
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• 2010

The influences on water quality of each river by effluents from environmental facilities $located^{*}$ in 14 unit watersheds of North- and South-Han River, and Gyungan-cheon were analyzed. Also, the water quality modeling for study area was carried out to analyze the improvement effect of water quality by the strengthening of T-P effluent standard of environmental facilities. For the calibration and verification of model, water quality data and effluent loading calculated for 2006 were used. Data of low water period were used for calibration, and normal water period for verification. The results of calibration and verification were well matched with the real water quality dataset of revers. Also, the validity of the results were estimated using RI (Reliability Index) method. When the T-P effluent standards for environmental facilities were strengthened, T-P concentrations were predicted to improve from $0.025mg/{\ell}$ to $0.023mg/{\ell}$ in the outlet location of North-Han River, from $0.056mg/{\ell}$ to $0.040mg/{\ell}$ for South-Han River,and from $0.233mg/{\ell}$ to $0.146mg/{\ell}$ for Gyungan-cheon. Also, the T-P concentrations of tributaries including Jojong-cheon, Dal-cheong, Sumgang, Chungmi-cheon, Bokha-cheon, Heuk-cheon, and Wonju-cheon were predicted to improve from $0.063mg/{\ell}$ to $0.010mg/{\ell}$, from $0.091mg/{\ell}$ to $0.053mg/{\ell}$, from $0.199mg/{\ell}$ to $0.100mg/{\ell}$, from $0.168mg/{\ell}$ to $0.148mg/{\ell}$, from $0.186mg/{\ell}$ to $0.105mg/{\ell}$, from $0.019mg/{\ell}$ to $0.013mg/{\ell}$, and from $0.822mg/{\ell}$ to $0.236mg/{\ell}$, respectively.

• Journal of Korean Society on Water Environment
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• v.30 no.1
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• pp.44-59
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• 2014

Despite the implementation of TMDL, the water quality in lower watershed of Nam river dam has worsened continuously since 2005. Multifarious pollution sources such as cities and industrial districts are scattered around it. Nam river downstream bed slope is very gentle towards the downstream water flow of slows it down even more, depending on the water quality deterioration is accelerated eutrophication occurs. In this study, the mainstream in lower watershed of Nam river dam region to target aquatic organic matter by phytoplankton growth contribution was evaluated by statistical analysis. and statistical evaluation of water quality and the accuracy of forecasting, model calibration and verification procedures by completing QUALKO2 it's eutrophic phenomena that occur frequently in the dam outflow through scenarios predict an increase in water quality management plans to present the best should.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.125-125
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• 2016

남강 권역은 5개의 단위유역으로 구성되어 있으며, 남강A, 남강B, 남강C, 남강D와 남강E로 명명되고 1단계 수질오염총량관리제도 시행 이후 유역 내 개발 등으로 인한 오염원이 증가하고 장기간 퇴적된 저니층으로부터 오염물질이 용출되는 등 수질의 자정능력보다 더 많은 오염물질이 수체내로 유입됨으로써 수질이 악화되자 수량확보 뿐만 아니라 남강의 수질관리에 대해서 관심을 가지기 시작하였다(GNDI, 2010). 남강 하류수계는 하상구배가 매우 완만하며 유속이 느리다. 따라서 물의 체류시간이 호수와 비슷한 양상을 보이고 있다. 더욱이 남강 하류수계는 주변의 도시와 농경지로부터 물의 소모량이 크기 때문에 하류수계의 물의 흐름이 더욱 완만해지고 이로 인하여 수질 악화가 가속화되고 수역의 영양단계가 점점 증가하는 부영양화현상이 발생되고 있다. 남강하류수계와 같이 부영양화 된 수계내의 미처리 된 영양염을 이용한 식물플랑크톤의 생산에 의해 자생BOD가 공급된다. 따라서 남강댐 하류지역과 같은 수리 수문학적 특징을 가진 유역은 수질관리를 위해서 특정 수역에 유입 BOD와 자생 BOD가 어느 정도 기여하는가를 정량적으로 파악한 후, 기여도에 따라 오염원인 물질을 줄이기 위한 수질관리 방안이 설정되어야 한다. 본 연구에서는 남강유역의 오염원의 기여율 분석을 위해 하천수질모델인 QUALKO2를 사용하였으며, 점오염원 뿐만 아니라 수질에 상당한 영향을 끼치는 비점오염원의 영향을 통합적으로 고려하기 위하여 유역 모델인 SWAT과의 연계방안을 제시하였다. 또한 모델의 연계 적용을 통해 산정된 내부오염원과 내부오염원의 기여율과 수질측정결과를 활용하여 분석한 기여도와의 비교를 수행하여 신뢰성을 확보하였다.

• Journal of Korean Society of Environmental Engineers
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• v.39 no.12
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• pp.714-722
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• 2017

The TPLMs is a system to manage the total amount of pollutants discharged from the watershed in order to achieve the target water quality of the river. In this process, the pollutant load can be classified into generation, discharge and delivery load. When using equation 2, the discharge coefficient should be 1. In case of using equation 3, it is considered that the discharge coefficient defined in the Technical Guideline should be applied. The delivery load is calculated as the product of the discharge load and the delivery ratio, and the delivery ratio is defined as the rate at which the pollutant discharged from the watershed reaches a specific point in the stream. In this study, the delivery ratio estimation method proposed by Hwang (2016) was applied to the Yonggang watershed in the Nakdong river. And the input data of QUALKO2 model was generated by using the estimated delivery ratio (equation 3) and the validation study was conducted by comparing with DRave (equation 2). As a result of the study, it is possible to use both the equation 2 and the equation 3, but it is necessary to change the methodology according to the application of the discharge coefficient.