• Journal of The Korean Society of Agricultural Engineers
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• v.64 no.6
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• pp.1-12
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• 2022

Estuary reservoirs were artificial reservoir with seawalls built at the exit points of rivers. Although many water resources can be saved, it is difficult to manage due to the large influx of pollutants. To manage this, it is necessary to analyze watersheds and reservoirs through accurate modeling. Therefore, in this study, we linked the Hydrological Simulation Program-FORTRAN (HSPF), Environmental Fluid Dynamics Code (EFDC), and Water quality Analysis Simulation Program (WASP) models to simulate the hydrology and water quality of the watershed and the water level and quality of estuary lakes. As a result of applying the linked model in stream, R² 0.7 or more was satisfied for the watershed runoff except for one point. In addition, the water quality satisfies all within 15% of PBIAS. In reservoir, R² 0.72 was satisfied for water level and the water quality was within 15% of T-N and T-P. Through the modeling system, We applied upstream pollutant management scenarios to analyze changes in water quality in estuary reservoirs. Three pollution source management were applied as scenarios, the improvement of effluent water quality from the sewage treatment plant and the livestock waste treatment plant was effective in improving the quality of the reservoir water, while the artificial wetland had little effect. Water quality improvement was confirmed as a measure against upstream pollutants, but it was insufficient to achieve agricultural water quality, so additional reservoir management is required.

• Journal of Korea Water Resources Association
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• v.55 no.11
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• pp.877-886
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• 2022

This study was carried out to analyze how the flow and water quality of the Sangsa Lake (juam control basin) change according to future climate change and what countermeasures are needed. Aquatic Ecosystem Model) was used in conjunction. As climate change scenarios, RCP (Representative Concentration Pathways) 4.5 and RCP 8.5 scenarios of AR5 (5th Assessment Report) according to the Intergovernmental Panel on Climate Change (IPCC) were used. For the climate change scenario, detailed data on the Sangsa Lake basin were used by the Korea Meteorological Administration, and after being evaluated as a correction and verification process for the 10-year period from 2012 to 2021, the present, 2025-2036, 2045- The summer period from June to August and the winter period from December to February were analyzed separately for each year by dividing it into 2056 and 2075-2086. RCP 8.5 was higher than RCP 4.5 as an arithmetic mean for the flow rate of the watershed of the superior lake for the entire simulation period, and TN and TP also showed a tendency to be higher at RCP 4.5. However, in RCP 8.5, the outflow of pollutants decreased during the dry season and the outflow of pollutants increased during the summer, indicating that the annual pollutant outflow was concentrated during the flood season, and it is analyzed that countermeasures are needed.

• Journal of Wetlands Research
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• v.26 no.1
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• pp.1-9
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• 2024

In this study, a HSPF model was developed to simulate runoff and water quality in the Haebancheon watershed, which has a high land area ratio and population density among the West Nakdong River watersheds. Various non-point source pollution control strategies were applied, and the reduction in pollutant loads and the exceedance rate of water quality standards were analyzed. The scenarios included basic road cleaning for reducing pollutant loads, runoff reduction measures considering extensive low-impact development techniques, and inflow reduction measures to mitigate non-point source pollution entering the river. In the first step, practical conditions such as the number of vehicles for road cleaning in Kimhae City were considered, while for the second and third steps, it was assumed that 50% of the applicable land use area was used to be applicable for the LID techniques. As a result of applying all three measures, it was analyzed that the BOD pollutant load could be reduced by 58.28%, T-N by 58.49%, and T-P by 51.56%. Furthermore, the 60th percentile of water quality measurements accumulated over 5 years was set as the target water quality, and a flow-duration curve was constructed. The exceedance rate of the flow-duration curve before and after applying non-point source pollution reduction measures was analyzed. As a result, for BOD, the exceedance rate decreased from 41.57% before applying the measures to 16.32% after, showing a 25.25% reduction in the exceedance rate. For T-N, the exceedance rate decreased significantly from 40.31% before the measures to 22.84% after, and for T-P, it decreased significantly from 62.43% to 27.22%.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2005.10a
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• pp.534-539
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• 2005

The purpose of this study is the introduction of pollutant loads's estimation into Saemangeum watershed area with M.E.'s guidebook for TMDL and GIS tool. To estimate reliable pollutants loads, it is necessary to think about characteristic of removal, discharge and runoff as time series. In this study, it was calculated for generation loads which be came from pollutant source, discharge loads which be reduced in the treatment facilities and delivery loads which be considered the self purification parameter and delivery distance. To assess the delivery distance handily, it was particularly estimated using Arc-GIS. It was met with good results that delivery loads of BOD, T-N and T-P was reflected to seasonal precipitation. Lastly to verify the estimated pollutant loads, HSPF developed by USEPA was applied to it. It was showed a relativity of observed to simulated data for flow, Temperature, DO, BOD, $NO_3^--N$ TN and TP. Consequantly, this delivery loads can make full use of model input data for prediction of pollutant loads.

• Journal of Korean Society on Water Environment
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• v.37 no.6
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• pp.520-530
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• 2021

Multivariate statistical analysis and an environmental hydrological model were applied for investigating the causes of water pollution and providing best management practices for water quality improvement in urban and agricultural watersheds. Principal component analysis (PCA) and cluster analysis (CA) for water quality time series data show that chemical oxygen demand (COD), total organic carbon (TOC), suspended solids (SS) and total phosphorus (T-P) are classified as non-point source pollutants that are highly correlated with river discharge. Total nitrogen (T-N), which has no correlation with river discharge and inverse relationship with water temperature, behaves like a point source with slow and consistent release. Biochemical oxygen demand (BOD) shows intermediate characteristics between point and non-point source pollutants. The results of the PCA and CA for the spatial water quality data indicate that the cluster 1 of the watersheds was characterized as upstream watersheds with good water quality and high proportion of forest. The cluster 3 shows however indicates the most polluted watersheds with substantial discharge of BOD and nutrients from urban sewage, agricultural and industrial activities. The cluster 2 shows intermediate characteristics between the clusters 1 and 3. The results of hydrological simulation program-Fortran (HSPF) model simulation indicated that the seasonal patterns of BOD, T-N and T-P are affected substantially by agricultural and livestock farming activities, untreated wastewater, and environmental flow. The spatial analysis on the model results indicates that the highly-populated watersheds are the prior contributors to the water quality degradation of the river.

• Journal of Korean Society on Water Environment
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• v.26 no.1
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• pp.168-176
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• 2010

This study proposes the improvement of the present Total Maximum Daily Load (TMDL) management system of MOE (Ministry of Environment). The margin of safety (MOS) is calculated by a method using standard error and a method using variability and uncertainty. The allocation of pollutant loads are calculated using three methods, equal load reduction method, equal percent removal method and method using equity standards. This study applied the improved TMDL management system to the Anyangcheon watershed. Since MOS varies from 12% to 44% due to the high variability of measured and simulated data, it must not be ignored in the TMDL. The method using equity standards is the most proper in this application since the others produced unrealistic allocations. Area, runoff, water use quantity, population and budget are considered for equity standards. This study shows that this allocation method can be also applicable for the administrative units as well as the sub-watersheds. Finally, Hydrologic Simulation Program-FORTRAN (HSPF) with the allocated pollutant load was used to confirm whether it satisfy the water quality standard or not. This study will be helpful to improve the MOS and allocation system TMDL in the future.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.419-419
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• 2023

하천의 최종 유출부와 해양이 만나는 지점을 하구라고 하며, 우리나라는 주로 서해안 지역에 하구 방조제 건설에 따른 담수호가 조성되어 다양한 목적으로 수자원이 활용되고 있다. 이러한 하구 담수호는 바다로 유입되기 직전의 물을 저류시켜 수자원 확보에 긍정적이나, 일반적으로 유역의 최하류에 위치해 있어 오염물질 유입, 부영양화, 염분 침출로 인한 오염물질 용출 등에 취약하다. 따라서 담수호의 회복탄력성 향상과 지속가능한 수자원 관리를 위해서는 미래 기후변화에 따른 영향 분석이 필수적이다. 특히 기후변화는 거대규모의 홍수과 같은 자연재난, 농업가뭄 및 식생가뭄 등의 증가로 이어질 수 있으므로, 이에 효과적으로 대비하기 위해서는 미래 기후조건에 따른 하천의 미래 유출량 변화 예측이 수행되어야 한다. 본 연구에서는 불확실한 미래 수문변화를 예측하기 위해 CMIP6(Coupled Model Intercomparison Project Phase 6) GCMs(Global Climate Models)의 SSP(Shared Socioeconomic Pathways) 시나리오를 유역 유출모델에 적용하여 기후변화에 따른 미래 유출특성의 변화를 예측하였다. 충청남도 서산시에 위치한 간월호 유역을 대상유역으로 선정하고, HSPF(Hydrological Simulation Program-FORTRAN) 모형을 적용하여 상류유역의 과거 및 미래 장기유출량 모의를 수행하였다. 모의된 시나리오별 유출량을 기반으로 최빈유량곡선법을 적용하여 미래의 기준유량 발생시점 및 지속기간의 변화를 분석하였으며, CVDs(Center-of-volume dates)의 변화를 통해 기후변화에 따른 홍수기의 시기적 변화 양상을 파악하고자 하였다. 본 연구의 결과는 미래 유역 환경변화를 고려한 담수호의 수자원 보전관리계획 수립에 있어 기초자료로 활용될 수 있을 것으로 기대된다.

• Ecology and Resilient Infrastructure
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• v.9 no.1
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• pp.24-35
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• 2022

For water quality management, it is necessary to continuously improve the forecasting by analyzing the past water quality, and a Data-driven model is emerging as an alternative. Because the Data-driven model is built based on a wide range of data, it is essential to apply the correlation analysis method for the combination of input variables to obtain more reliable results. In this study, the Gamma Test was applied as a preceding step to build a faster and more accurate data-driven water quality prediction model. First, a physical-based model (HSPF, EFDC) was operated to produce daily water quality reflecting the complexity of the watershed according to various hydrological conditions for Paldang Dam. The Gamma Test was performed on the water quality at the water quality prediction site (Paldangdam2) and major rivers flowing into the Paldang Dam, and the method of selecting the optimal input data combination was presented through the analysis results (Gamma, Gradient, Standar Error, V-Ratio). As a result of the study, the selection criteria for a more efficient combination of input data that can save time by omitting trial and error when building a data-driven model are presented.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.782-782
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• 2012

지금까지 우리나라에서는 도시하수, 공장폐수 등의 점오염원에 국한하여 중점적으로 수질관리를 실행하여 부분적으로 효과를 얻을 수 있었으나, 하천과 호소의 수질은 크게 향상되지 않고 있다. 이는 급속한 도시화와 산업발달로 토지개발이 가속화되고 대지, 도로, 주차장 등 불투수층 면적이 늘어남에 따라 비점오염원에 의한 하천, 호소의 수질영향도가 커지고 있기 때문이다. 인구증가로 인해 물 사용량 뿐만 아니라 이에 따라 배출되는 오염원의 종류 및 오염부하량 역시 함께 증가하고 있다. 장래의 수질관리 성공여부는 비점오염원의 효율적인 관리여부가 큰 변수로 작용할 것으로 본다. 따라서 공공수역의 수질관리를 위해서는 토지이용과 지역특성을 고려한 비점오염원 부하량의 합리적인 조사, 오염 부하량 절감을 위한 관리기술의 개발, 비점오염원 관리정책의 개발 및 수질모형을 이용한 정확한 수질예측 등이 필요하다. 따라서 본 연구에서는 공간정보를 바탕으로 한 낙동강 유역에서의 비점오염원 정량화 분석을 수행하고자 한다. 우선 대상유역으로 낙본 G유역을 선정하여 이에 대한 조사를 통해 점오염원의 실측자료를 구축하고 이를 HSPF의 입력하여 모의를 수행하여 대상유역에 대한 실측치를 이용해 모형의 보정과 검증을 수행한다. 이러한 과정을 통해 도출된 결과는 대상유역의 총 오염량을 의미한다. 따라서 위의 과정에서 도출된 매개변수를 이용하고, 점오염원을 제거한 뒤 모의를 재수행하여 나온 결과가 대상유역의 비점오염원의 양이라 판단하였다. 모의 결과 대상유역인 낙본 G유역에서 약 39% 정도의 비점오염원 비율을 보였다. 그러나 수질 및 유량 관측치를 지금까지는 국립환경과학원 낙동강물환경연구소 유량측정데이타를 사용하고 있는데 이 자료는 8일 이상 간헐적으로 측정이 수행되고 있다. 따라서 검 보정 대상이 되는 실측치의 자료의 부족과 부정확한 유역이 있음이 한계점으로 작용한다. 그러므로 추후의 신경망 모형이나 기타 실측치 보간에 있어서의 신뢰도를 높이는 기법 개발이나 측정제도의 보편적인 기술의 증대도 앞으로의 모델링에 있어서 중요할 것으로 판단된다. 또한 유역수질모형의 모델링 과정에서 좀 더 신뢰도 높은 측정자료와 그 측정자료를 활용하여 PEST 보정기법을 적용한다면 더욱 정확한 예측이 이루어질 수 있을 것이며, 본 연구에서의 평가방법을 바탕으로 유역수질모델링이 이루어진다면 보다 더 정확성 높은 비점오염원 정량화와 수질 예측이 수행될 수 있을 것이며 더 나아가 오염총량제의 수행에 효과적으로 적용될 것으로 판단된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.498-498
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• 2016

광역상수원으로 활용되는 주암댐 저수지 및 동복댐 저수지가 위치하고 있는 유역을 대상으로 유역모형을 적용하여 비점오염 저감시설에 따른 수지개선효과를 분석하였다. 주암댐 유역은 보성강 수계에 위치하고 있으며 전체 유역면적은 약 $1,010km^2$으로 담양군, 보성군, 장흥군, 화순군 및 순천시에 걸쳐 위치하고 있다. 비점오염원 설치지점을 고려하기 위하여 소유역별 비점오염원 부하량 산정이 가능하고 BMPs 효과분석 모의가 가능한 HSPF 유역모델을 적용하여 2011~2012년을 대상으로 유량, BOD, TN, TP 재현성을 검증하였다. 29개 소유역별 비점오염원 부하량 평가를 통해 중점관리지역을 선정하였으며 비점오염원 저감시설 설치 시나리오 4개를 적용하여 수질개선 효과를 비교 분석하였다. BOD, TN, TP 모두 주암호 유역 상류에 위치하는 보성강댐 소유역에서 상대적으로 높은 비점오염원 부하량이 유출되는 것으로 분석되었으며 특히, TN에서 가장 뚜렷하게 나타났다. 비점오염 저감시설의 누적유출고와 배수면적을 고려하여 비점오염 저감시설로 저류지를 선정하였으며 누적유출고 5 mm/d와 전체유역면적을 고려한 시나리오 1, 누적유출고 5mm/d와 산림을 제외한 유역면적을 고려한 시나리오 2, 누적유출고 24.5 mm/d와 전체유역면적을 고려한 시나리오 3, 누적유출고 24.5 mm/d와 산림을 제외한 유역면적을 고려한 시나리오 4로 구분하여 적용하였다. BOD의 경우, 2011년 조건에서 시나리오 1은 각 소유역별 평균 13.1%, 시나리오 2는 3.7%, 시나리오 3은 15.8%, 시나리오 4는 4.4%의 비점오염원 부하량 저감효과가 나타났으며 2012년 조건에서는 각 시나리오별로 평균 13.1%, 3.6%, 15.7%, 4.3%의 저감효과가 나타나는 것으로 분석되었다. TN의 경우, 2011년 조건에서 시나리오별로 평균 10.9%, 3.0%, 13.0%, 3.6%, 2012년 조건에서도 유사한 범위로 비점오염원 부하량 저감효과가 분석되었다. TP의 경우, 2011년 조건에서 시나리오별로 평균 13.7%, 3.8%, 16.5%, 4.6%, 2012년 조건에서는 13.7%, 3.8%, 16.4%, 4.6%로 분석되었다. 주암댐 유역의 중점 관리지역을 선정하여 누적유출고 24.5mm/d와 전체유역면적을 고려한 저류지를 설치할 경우 효과가 가장 큰 것으로 나타났으며 평균 BOD 15.8%, TN 13.3%, TP 16.5%의 저감효과로 분석되었다.