• 한국물환경학회지
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• 제22권6호
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• pp.977-981
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• 2006

In order to improve water quality in drinking water sources, Ministry of Environment (MOE) was implemented total water pollution load management (TWPLM) in all the major river basins. From the experience of the application of TWPLM, we could find some problems relating the target watershed, standard operating procedure (SOP) of establishment and implementation plan, water quality and flow rate, design flow, water quality model, margin of safety (MOS), and estimation of wasteload were found. The authors were reviewed ongoing TWPLM and presented the improvement schemes for a successful TWPLM. For the application of these suggestions, further detailed studies should be done to implement TWPLM in the future.

• 대한환경공학회지
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• 제36권3호
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• pp.162-171
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• 2014

본 연구에서는 수질오염총량제의 토지계 발생부하량 산정 방식에서의 지목 단순화로 인한 불확실성을 분석하고, 23 개 중분류 토지피복도를 기존 산정방식에 적용하여 지목 확장을 할 수 있도록 개선하였으며 이를 L-THIA 모형을 이용하여 검증하였다. 진위천 유역에 대하여 지목이 단순화된 기존 방식(시나리오 1)과 23개 중분류 토지피복도를 이용한 방식(시나리 오 2)으로 산정된 TP 부하량을 비교한 결과 기존 방식의 불확실성이 높다는 것이 나타났으며, 시나리오 2에 의한 분석 결과 같은 대지 분류에 속하는 토지피복들에서 T-P 발생부하량의 편차가 3.45 kg/day~56.69 kg/day로 약 16배의 차이를 보였다. 시 나리오 2를 수질오염총량제에 적용할 수 있도록 23개 중분류 토지피복을 지적도 기반 지목으로 매칭하여 TP 발생부하량을 산정하였다(시나리오 3). 개선된 방식(시나리오 3)의 토지계 T-P 발생부하량 산정의 정확도를 검증하기 위해 L-THIA 모형의 결과와 비교하였으며 모형 예측 대비 약 10% 정도로 차이가 매우 적게 나타났다. 본 연구결과는 향후 수질오염총량제의 토 지계 발생부하량 산정의 정확도를 높이는데 있어 기초자료로 사용될 수 있을 것이라 기대된다.

• 상하수도학회지
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• 제19권6호
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• pp.728-737
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• 2005

Water quality of the Hwanggujicheon is poor because of the rapid housing and development in the large area of the basin. Establishment of water quality management strategy, based on the pollution sources survey and pollutant loads estimation, has to be established for the preservation of the stream water quality of the region. In this study, waste load allocation model to achieve the water quality goal of the stream and the optimization of pollutant load reduction, was developed. Nonpoint pollutant loads calculated by runoff model in the previous study are utilized for pollutant loads estimation of the drainage areas in this study. From the application result of the allocation model, water quality goals of the Hwanggujicheon that can be achieved as a matter of fact are BOD 8 mg/L. To achieve these goals, 23% of effluent BOD loads have to be reduced in the basin.

• 한국환경과학회지
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• 제19권7호
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• pp.907-915
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• 2010

Agriculture nonpoint pollution source is a significant contributor to water quality degradation. To establish effective water quality control policy, environpolitics establishment person must be able to estimate nonpoint source loads to lakes and streams. To meet this need for orchard area, we investigated a real rainfall runoff phenomena about it. We developed nonpoint source runoff estimation models for vineyard area that has lots of fertilizer, compost specially between agricultural areas. Data used in nonpoint source estimation model gained from real measuring runoff loads and it surveyed for two years(2008-2009 year) about vineyard. Nonpoint source runoff loads estimation models were composed of using independent variables(rainfall, storm duration time(SDT), antecedent dry weather period(ADWP), total runoff depth(TRD), average storm intensity(ASI), average runoff intensity(ARI)). Rainfall, total runoff depth and average runoff intensity among six independent variables were specially high related to nonpoint source runoff loads such as BOD, COD, TN, TP, TOC and SS. The best regression model to predict nonpoint source runoff load was Model 6 and regression factor of all water quality items except for was $R^2=0.85$.

• 한국물환경학회지
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• 제38권6호
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• pp.306-315
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• 2022

In this study, long-term measurement data were applied to the LOADEST model and used as an analysis tool to identify and interpret trends in pollution load. The LOADEST model is a regression equation-based pollution load estimation program developed by the United States Geological Survey (USGS) to estimate the change in the pollution load of rivers according to flow rate and time and provides 11 regression equations for pollution load evaluation. As a result of simulating the Gwangjuchen2, Pungyeongjeongchen, and Pyeongdongchen in the Yeongbon B unit basin in the middle and upper reaches of the Yeongsan River with the LOADEST model using water quality and flow measurement data, lower values were observed for the Gwangjuchen2 and Pyeongdongchen, whereas the Pungyeongjeongchen had higher values. This was judged to be due to the characteristics of the LOADEST model related to data continuity. According to the parameters estimated by the LOADEST model, pollutant trends were affected by increases in the flow. In addition, variability increased with time, and BOD and T-P were affected by the season. Thus, the LOADEST model can contribute to water quality management as an analytical tool for long-term data monitoring.

• 한국농공학회논문집
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• 제52권4호
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• pp.19-26
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• 2010

To provide the basic information for the water quality management of the Sumjin River Basin, delivery ratios for flow duration were studied. Using the day-interval data set of discharge and water quality observed from the Chooryeong-cheon watershed, the flow-duration and discharge-load relation curves for the watershed were established, then the load-duration curve was constructed. Delivery ratios for flow duration were also developed. Delivery ratios showed wide variation according to flow conditions. In general, delivery ratio of high flow condition showed higher value reflecting nonpoint source pollution contribution from the forest dominating watershed. To resolve this problem, a regression model explaining the relation between flow rate and delivery ratio was suggested. The delivery ratios for different flow regime could be used for pollutant load estimation and TMDL (Total maximum daily load) development.

• 한국환경과학회지
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• 제15권10호
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• pp.951-960
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• 2006

The eco-hydrodynamic model was used to estimate the environmental capacity in Gamak Bay. It is composed of the three-dimensional hydrodynamic model for the simulation of water flow and ecosystem model for the simulation of phytoplankton. As the results of three-dimensional hydrodynamic simulation, the computed tidal currents are toward the inner part of bay through Yeosu Harbor and the southern mouth of the bay during the flood tide, and being in the opposite direction during the ebb tide. The computed residual currents were dominated southward flow at Yeosu Harbor and sea flow at mouth of bay, The comparison between the simulated and observed tidal ellipses at three station showed fairly good agreement. The distributions of COD in the Gamak bay were simulated and reproduced by an ecosystem model. The simulated results of COD were fairly good coincided with the observed values within relative error of 1.93%, correlation coefficient(r) of 0.88. In order to estimate the environmental capacity in Gamak bay, the simulations were performed by controlling quantitatively the pollution loads with an ecosystem model. In case the pollution loads including streams become 10 times as high as the present loads, the results showed the concentration of COD to be $1.33{\sim}4.74mg/{\ell}(mean\;2.28mg/{\ell})$, which is the third class criterion of Korean standards for marine water quality In case the pollution loads including streams become 30 times as high as the present loads, the results showed the concentration of COD to be $1.38{\sim}7.87mg/{\ell}(mean\;2.97mg/{\ell})$, which is the third class criterion of Korean standards for marine water quality. In case the pollution loads including streams become 50 times as high as the present loads, the results showed the concentration of COD to be $1.44{\sim}9.80mg/{\ell}(mean\;3.56mg/{\ell})$, which is the third class criterion of Korean standards for marine water quality.

• 대한환경공학회지
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• 제28권12호
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• pp.1265-1273
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• 2006

용담댐 저수지에 대하여 목표수질 설정과 오염물질 부하량 추정 및 유량분석을 실시하여 수질의 변화과정을 모의함으로써 환경용량과 오염부하삭감량을 추정하였다. 목표수질은 상수원수 $1{\sim}2$등급, COD $1.0{\sim}3.0$ mg/L와 TP $0.01{\sim}0.03$ mg/L로 설정하고, 용담댐 저수지의 수질모형을 42개 소구획을 가진 WASP5로 구성하고, 보정하여 측정치와 계산치의 상관계수는 BOD 0.73, $PO_4-P$ 0.98이었다. 목표수질 COD 2.0 mg/L와 TP 0.02 mg/L에 대한 환경용량은 연구조건에 따라 BOD $131,880{\sim}4,694$ kg/일, TP $7,855{\sim}167$ kg/일이고, 각 경우의 오염부하 삭감률은 BOD $51{\sim}62%$, TP $47{\sim}67%$로 나타났다. 환경용량은 기존연구보다 작게 추정되었고 삭감부하율은 기존결과들의 중간에 해당하였다. 상수원수 $1{\sim}2$등급의 수질을 연중 달성할 오염부하 삭감률은 기존 연구조건에서 BOD $72{\sim}16%$, TP $78{\sim}36%$이고, 신규 연구조건에서 BOD $81{\sim}44%$, TP $84{\sim}52%$로 나타났다. 기존연구의 삭감량과 비교하면 BOD는 가장 적고 TP는 4개 중 2번째로 적었다. 목표삭감부하량의 소유역별 배분에서 TP는 취수탑 구획에 대한 근접도의 영향이 크게 나타났으나 COD는 별다른 차이가 없었다.

• 농촌계획
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• 제7권1호
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• pp.27-36
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• 2001

Estimation of current and future loading from watershed is necessary for the sound management of water quality of an estuary lake. Pollution sources of point and non-point source pollution were surveyed and Identified for the Koheung watershed. Unit factor method was used to estimate potential pollutant load from the watershed of current conditions. Flow rate and water qualify of base flow and storm-runoff were monitored in the main streams of the watershed. Estimation of runoff pollutant loading from the watershed into the lake in current conditions was conducted by GWLF model after calibration using observed data. Prospective pollutant loading from the reclaimed paddy fields under cultivation conditions was estimated using the modified CREAMS model. As a result, changes of pollutant loading into estuary lake according to non-cultivation and cultivation conditions of reclaimed tidal land were estimated.

• 한국물환경학회지
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• 제30권4호
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• pp.418-428
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• 2014

The purpose of this study is to predict the spatio-temporal changes in land uses and to evaluate land-based pollutant loads in the future under Total Water Pollution Load Management System using CLUE-S model. For these ends, sensitive parameters of conversion elasticities in CLUE-S model were calibrated and these calibrated parameters of conversion elasticities, level II land cover map of year 2009, and 7 driving factors of land use changes were used in predicting future land uses in 2002 with two scenarios(Scenario 1: non area restriction, Scenario 2: area restriction). This projected land use map of 2020 was used to estimate land-based pollutant loads. It was expected that urban areas will increase in 2020 from both scenarios 1 and 2. In Scenario 1, urban areas are expected to increase within greenbelt areas and deforest would be expected. Under Scenario 2, these phenomena were not expected. Also the results of estimation of BOD and TP pollutant loads, the BOD difference between scenarios 1 and 2 was 719 kg/day in urban areas and TP difference was 17.60 kg/day in urban areas. As shown in this study, it was found that the CLUE-S model can be useful in future pollutant load estimations because of its capability of projecting future land uses considering various socio-economic driving factors and area-restriction factors, compared with conventionally used land use prediction model.