• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.265-265
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• 2023

유역모형을 통해 우심하천을 제시하는 방법은 많은 노력과 시간이 요구되는 경우가 많다. 본 연구에서는 국가배출부하량 자료를 사용하여 간단하게 오염원별/오염물질별 수질 관리가 요구되는 하천을 선정하는 방법을 제시하고, 우심하천을 선정하였다. 적용 유역은 한강 수계에서 가장 복합한 댐 유역인 충주댐 유역으로 결정하였다. 충주댐 유역의 소유역별 배출부하량을 활용해 하천 관점의 배출부하량을 산정하였다. 하천 관점의 배출부하량 (Stream Total Loads, STL로 명명)은 임의의 하천으로 유입되는 모든 소유역의 배출부하량 합계를 면적 합계로 나누어 산정하는 방법이며, 임의의 하천 지점에서 상류의 모든 소유역이 포함된 단위면적당 배출부하를 의미한다. 따라서 댐 유역 말단의 STL은 유역 전체의 단위면적당 배출부하로 표현되며, 유역 전체의 STL보다 높은 소유역이 연결된 하천을 댐 호소 관점에서 볼 때 관리가 필요한 하천이라 할 수 있다. 댐 유역 말단의 STL은 점오염원-BOD 0.617 kg/km²/day, 점오염원-TP 0.038 kg/km²/day, 비점오염원-BOD 2.909 kg/km²/day, 비점오염원-TP 0.237 kg/km²/day로 산정되었다. 점오염원에 대한 BOD 관리하천은 창리천, 장평천, 지장천하류 등 15개 소유역, TP 관리하천은 주천강시점, 창리천, 주천강상류 등 20개 소유역으로 나타났다. 비점오염에 대한 BOD 관리하천은 주천강시점, 장평천, 제천천하류 등 13개 소유역, TP 관리하천은 주천강시점, 장평천, 주천강상류 등 16개 소유역으로 나타났다. 또한 전체 배출부하에 대한 비점오염원의 배출부하비는 BOD 82.5%, TP 86.2%로 점오염원보다 높았다. 따라서 우선 관리 대상 하천은 TP 비점오염원, BOD 비점오염원, TP 점오염원, BOD 점오염원 순으로 계획될 필요가 있다. 향후 유역 모델링을 수행하고, STL 산정 결과와 비교하여 우심 하천 선정에 대한 적합성을 평가할 예정이다.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1129-1133
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• 2010

본 연구에서는 수질오염총량제와 정책제안의 원활하고 합리적인 추진을 위해 토지피복분류체계의 대분류중 초지에 해당하고 중분류 중 골프장에 해당하는 지점을 선정하여 강우에 의해 발생하는 비점오염물질의 유출특성을 분석하였다. 연구기간 동안 총 27번의 강우사상으로 인해 발생하는 강우유출수에 대하여 유량과 수질농도를 측정하였다. 유량측정은 웨어를 통한 수위를 측정하여 유량으로 환산하였고, 수질항목은 $BOD_5$, $COD_{Mn}$, DOC, SS, T-N, T-P, $NH_3$-N, $NO_3$-N, $PO_4$-P 등 9개 항목을 분석하였다. 분석된 결과를 이용하여 골프장에서 발생하는 비점오염원의 초기세척효과 발생여부를 판단하기 위하여 누적오염부하량/누적유출량 그래프를 도식화하였다. 연구기간동안 발생한 5~82 mm의 강우로 인해 6.6~2,082 $m^3$의 유출이 발생하였다. 발생된 유출수의 농도는 $BOD_5$ 1.8~11.3 mg/L, $COD_{Mn}$ 19.2~51.4 mg/L, DOC 11.0~31.0 mg/L, SS 2.2~57.3 mg/L, T-N 1.545~16.098, T-P 0.230~4.528 mg/L, $NH_3$-N 0.076~5.285 mg/L, $NO_3$-N 0.122~2.905 mg/L, $PO_4$-P 0.005~2.631 mg/L로 나타났다. 초기유출수의 세척효과는 27번의 강우사상동안 SS 항목의 경우 17번, $NO_3$-N 11번, $NH_3$-N 4번 등이 발생하였다. 초기세척효과가 발생한 강우사상은 초기의 오염원 농도가 중 후반 농도보다 농도가 높음을 의미하므로, 골프장에서 발생하는 강우유출수는 초기에 발생하는 오염원에 초점을 두고 처리방안을 모색해야 할 것으로 판단된다. 또한 SS와 질소계열의 농도가 높은 것은 골프장의 잔디관리를 위한 농약이나 제초제 등의 사용과 토양유실이 원인인 것으로 판단되며, 이를 저감하기 위한 적절한 사용방안과 저감대책이 필요할 것으로 판단된다.

• Journal of Korean Society of Environmental Engineers
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• v.33 no.8
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• pp.572-577
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• 2011

The unit load has simply been used to estimate total pollutant loading from non-point sources, however, it does not count on the variable pollutant loading according to land use characteristics and rainfall intensity. Since pollutant emission from the watershed is strongly dependent on the rainfall intensity, it is necessary to find out the relationship between pollutant loading and rainfall intensity. The objective of this study is to develop simple and easy method to compute non-point source pollution loads with consideration of rainfall intensity. Two non-point source removal facility at Gyeongan-dong (Gwangju-si) and Mohyeon-myeon (Yongin-si), Gyeonggi-do was selected to monitor total rainfall, rainfall intensity, runoff characteristics and water quality from June to November, 2010. Most of Event Mean Concentrations (EMC) of measured water quality data were higher in Gyeongan which has urban land use than in Mohyeon which has rural land use. For the case of TP (Total Phosphorus), Mohyeon has higher values by the influence of larger chemical uses such as fertilizer. The relationship between non-point source pollution load and rainfall intensity is perfectly well explained by cubic regression with 0.33~0.81 coefficients of determination($R^2$). It is expected that the pollution loading function based on the long-term monitoring would be very useful with good accuracy in computing non-point source pollution load, where a rainfall intensity is highly variable.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.506-506
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• 2022

비점오염원에서 배출되는 오염부하량(BOD, T-P)은 점오염원의 2배 이상을 차지하고 있어 비점오염원 관리에 대한 관심이 증대되고 있다. 이에 비점오염원의 효율적 관리를 위한 전략 및 추진과제 마련을 위해 제1차('04-'11), 제2차('12-'20) 비점오염원 관리 종합대책(이하 종합대책)이 수립 및 이행되었다. 이어 2016년 물환경보전법 개정에 따라 종합대책의 수립이 법제화되고 지난 2020년 말 제3차 비점종합대책('21~'25)이 수립되었다. 제3차 비점종합대책은 수질개선이 체감되는 비점오염원 관리라는 비전을 가지며 도시, 농·축산, 산림, 관리기반의 4개 분야에 총 71개의 세부 추진과제를 제시하고 있다. T-P 비점오염배출부하량 5% 감축, 불투수율 감축, 비점오염관리지역개소 확대, 고랭지 흙탕물 관리지역 구역 확장, 지역 거버넌스 구축을 대책의 목표와 각 분야별 관리지표로 제시하고 있다. 물환경보전법 제53조의5와 동법 시행령 제75조의3에 따라 환경부장관은 매년 이행사항을 점검 및 평가하여 그 결과를 비점오염원 관리 정책의 수립 및 집행에 반영해야 한다. 지난 제1·2차 대책의 경우 성과 점검 및 관리를 위한 체계가 부재하여 사업의 실효성 확보에 한계가 있었으며 이에 따라 소관별 이행사항 점검 및 평가체계의 필요성이 제기되었다. 따라서 본 연구에서는 종합대책 이행평가 전략 및 세부 추진체계를 마련하여 효율적인 소관별 이행사항 점검 및 평가를 도모하고자 하였다. 분야별 세부 추진과제는 매년, 대책의 목표와 각 분야별 관리지표는 대책 시행 후 5차년에 점검 및 평가할 수 있도록 구성하였다. 또한 종합대책의 최종 목표 달성 시뮬레이션을 통해 5차년 이후 원활한 평가가 이루어질 수 있도록 하였다. 본 연구에서 마련한 이행평가 체계를 통해 적절한 이행평가 및 효율적인 비점오염원 관리를 도모할 수 있을 것으로 사료된다.

• Journal of Korean Society of Environmental Engineers
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• v.36 no.10
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• pp.719-723
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• 2014

For effective implementation of total maximum daily load (TMDL), this study presented the improving plans of non-point source pollution management including the classification of non-point source pollution, calculation of non-point source pollution load (generated, discharged), selection of non-point source pollution management regions and management of non-point source pollutant. First of all, the definition of point source pollution and non-point source pollution based on the legal and scientific viewpoint should be precisely classified and managed. Especially, the forest, grassland and river without occurrence of environmental damage by activity of business and human should be separately classified natural background pollutants. The unit for generated and discharged non-point source pollution should be preferentially changed according to actual condition of watershed. The calculation methods of generated and discharged non-point source pollution should be corrected consideration on the amount and duration of rainfall. While the TMDL is implemented, non-point source pollution management regions should be selected in the watersheds exceed the targeted water quality standards by the rainfall. The non-point source pollution management regions should be selected in the minimal regions where have high values of discharged non-point source pollution density in the urban area, farmland and site area except forest, grassland in the whole watershed. The non-point source pollutant treatment facilities, which take into consideration non-point source pollution load per unit area, duration of the excess concentration, realizable possibility of treatment, effectiveness of treatment cost versus point source pollutant, should be established in the regions with a large generated non-point source pollution load and a high concentration of water quality exceed the targeted water quality standards by the rainfall.

• Journal of the Korean Society of Marine Environment & Safety
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• v.17 no.4
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• pp.345-356
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• 2011

Based on the consideration of land based pollutant discharges from the basin and seawater quality related carrying capacity and the seawater quality improvement in receiving water bodies of Yeoja Bay where eutrophication and organic pollution are in progress, were evaluated. The permissible inflow loads of BOD, TN and TP by using the geographical features and box modelling method were estimated. As results, it is shown that the reduction rate of discharged BOD and TP loads were 39.3% and 30.8 %, respectively, however, 6.9% was estimated for TN. According to the pollutant loading in each tributary and generated load of the basin, it is given much weight on the land use group, and also was shown in discharged load estimation. This suggests that it is important to control nonpoint source pollutant such as livestock and land use groups as well as point source to contribute the proposition of the water quality improvement plan according to the characteristics of the bay.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.3
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• pp.1-12
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• 2012

The agricultural area was classified into dry and paddy fields in this study using the near-infrared band of Landsat TM to extract land cover classes that need to the application of Expected Mean Concentration (EMC) in nonpoint source works. The accuracy of image classification of the land cover map from Landsat TM image showed 83.61% and 78.41% respectively by comparing with the large and middle scale land cover map of Ministry of Environment. As the result of Soil Conservation Service (SCS) Curve Number (CN) using the land cover map from image classification, Dongbok dam and Dongbok stream basin were analyzed high. Also Geymbaek water-gage and Bosunggang upstream basin showed high in the analysis of EMC of BOD, TN, TP by basin. And also Geymbaek water-gage and Bosunggang upstream basin showed high in the analysis of non-point source through coupling with direct runoff. Therefore these basins were selected with the main area for the management of nonpoint source.

• Journal of Environmental Impact Assessment
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• v.23 no.5
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• pp.393-405
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• 2014

In this study, the nonpoint sources were evaluated by calculating the Nadonggang basin regional water quality and nonpoint source pollution load discharged. And were selected the banks of first administration based on the results and the direction of the next administration. As a results of estimating the water quality about BOD concentration in the mid influence area in the Nakdonggang basin, it was founded that 10 sites for 'Ia' water quality level, 6 sites for 'lb' water quality level, 5 sites for 'II' water quality level, 1 sites for 'I' water quality level. The estimation of COD concentration in the mid influence area, It showed that 9 sites for 'Ib' water quality level, 6 sites for 'II' water quality level, 6 sites for 'III' water quality level, 1 site for 'IV' water quality level. The assessment of water quality made Mid influence area of Gumhogang, Nakdong Goryung, Nakdong Milyang and Namgang selected as the mid influence area of high pollution. And delivery loads of nonpoint sources were calculated for mid influence area in Nakdonggang basin(max delivery load : 17,706.7 kg/day for Gumhogang influence area). As the result of calculating NPS(nonpoint sources) delivery load and water quality at influence area in Nakdonggang basin, Gumhogang influence area was selected as an area for management priority among nonpoint sources.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.28 no.3
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• pp.279-293
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• 1995

The most obvious and easily recognizable sources of potential water pollution are point sources such as domestic and industrial wastes. But recently, the potential effects of nonpoint sources on water quality have been increased apparently. In order to evaluate the characteristics and the effects of nonpoint sources on water quality, this study was performed in Suyeong Bay from May, 1992 to July, 1992. The depth-averaged 2-dimensional numerical model, which consists of the hydrodynamic model and the diffusion model was applied to simulate the water quality in Suyeong Bay. When flowrate was $65.736m^3/s,$ the concentration of pollutants (COD, TSS and VSS) at Oncheon stream (Sebeong bridge) during second flush were very high as much as 121.4mg/l of COD, 1148.0mg/l of TSS and 262.0mg/1 of VSS. When flowrate was 4.686m^3/s, the concentration of pollutants $(TIN,\;NH_4\;^+-\;N,\;NO_2\;^--N\;and\;PO_4\;^{3-}-P)$ during the first flush were very high as much as 20.306mg/1 of TIN, 14.154mg/1 of $NH_4\;^+-N$, 9.571mg/l of $NO_2\;^--N$ and l.785mg/l of $PO_2\;^{3-}-P$ As results of the hydrodynamic model simulation, the computed maximum velocity of tidal currents in Suyeong Bay was 0.3m/s and their direction was clockwise flow for ebb tide and counter clockwise flow for Hood tide. Four different methods were applied for the diffusion simulation in Suyeong Bay. There were the effects for the water quality due to point loads, annual nonpoint loads and nonpoint loads during the wet weather and the investigation period, respectively. The efforts of annual nonpoint loads and nonpoint loads during the wet weather seem to be slightly deteriorated in comparison with the effects of point loads. However, the bay was significantly polluted by the nonpoint loads during the investigation period. In this case, COD and SS concentrations ranged 2.0-30.0mg/l, 7.0- 200.0mg/l in ebb tide, respectively. From these results, it can be emphasized that the large amount of pollutants caused by nonpoint sources during the wet weather were discharged into the bay, and affected significantly to both the water quality and the marine ecosystem. Therefore, it is necessary to consider the loadings of nonpoint pollutants to plan wastewater treatment plant.

• Journal of Korean Society on Water Environment
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• v.26 no.1
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• pp.111-115
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• 2010

Beaches in estuaries, bays, and harbors are frequently contaminated with indicators of human pathogens such as fecal indicator bacteria. Tracking down the sources of contamination at these enclosed beaches is complicated by the many point and non-point sources that could potentially degrade water quality along the shore. A mathematical framework was developed to test quantitative relationships between fecal indicator bacteria concentration in ankle depth water at enclosed beaches, the loading rate of fecal indicator bacteria from non-point sources located along the shore, physical characteristics of the beach that affect the transport of fecal indicator bacteria across the beach boundary layer, and a background concentration of fecal indicator bacteria attributable to point sources of fecal pollution that impact water quality over a large region of the embayment. Field measurements of fecal indicator bacteria concentrations and water turbulence at an enclosed beach were generally consistent with predictions and assumptions of the mathematical model, and demonstrated its utility for assessing waste load of non-point sources, such as runoff, bather shedding, bird droppings, and tidal washing of contaminated sediments.