• KCID journal
• /
• v.9 no.1
• /
• pp.103-111
• /
• 2002

• Proceedings of the Korean Society of Fisheries Technology Conference
• /
• 1995.06a
• /
• pp.357-360
• /
• 1995

• Proceedings of the Korea Water Resources Association Conference
• /
• 1993.07a
• /
• pp.509-517
• /
• 1993

• Proceedings of the Korea Water Resources Association Conference
• /
• 1993.07a
• /
• pp.227-240
• /
• 1993

• Proceedings of the Korea Water Resources Association Conference
• /
• 1998.05a
• /
• pp.91-96
• /
• 1998

• Journal of Wetlands Research
• /
• v.15 no.3
• /
• pp.387-396
• /
• 2013

Non-point pollution source is difficult to control due to uncertain outflow path and emission. So, There are many development and research to Best Management Practices(BMP) established to manage the Non-point pollution source. Besides, various methods of estimated efficiency to exact assessment of BMP is presented. In this study, the impact about length of Grassed Swale on reduction efficiency based on monitoring results of Grassed Swale by length is studied. By estimating Grassed Swale reduction efficiency in a variety of methods, the difference between the methods of estimated efficiency was compared with those that. Estimated efficiency method using ER, SOL, ROL, ROF, SOLF, and ROLF methods is analyzed. EMC analysis result is high inflow and outflow concentration distinction organic compound for nutritive salts The result of efficiency analysis along Grassed Swale length sharply increases in a Grassed Swale inlet. After this increase, the efficiency gradually decreases. This is expected that cistern installed in the end of the front. To obtain a stable reduction efficiency of Grassed Swale, minimum length 30m of Grassed Swale should be enough. Also, in order to efficiently and economically design Grassed Swale, the researches on length of Grassed Swale are needed rather than simple analysis of efficiency.

• Magazine of the Korean Society of Agricultural Engineers
• /
• v.39 no.2
• /
• pp.53-61
• /
• 1997

The interface system, GIS-AGNPS was to be validated with field data from six tested small watersheds ranging from 0.7 to 4.7$km^2$ in size which have steep topography and complex landuses. The model validation involved the calibration of input parameters and component modifications, in efforts to develop a model applicable to general uses for identifying and controlling nonpoint source pollution loads from agricultural watersheds. The simulated direct runoff from AGNPS was in good agreement with the field data for the averaged antecedent moisture conditions or AMC- II. The results differed, however, from the observed for AMC- I or III. A simple empirical relationship was proposed to estimate the curve number for AMC- I or m from AMC- II, which was found to result in simulated runoff close to the observed. The peak runoff relationship at AGNPS was also modified to reflect the watershed conditions and tested satisfactorily with the field data. The simulated sediment yields from the watersheds were fair as compared to the observed. Nutrient loads simulated from the model were different from the observed data. It appeared that the model was incapable of adequate depicting nutrient transport processes at paddy field and other landuses of the tested watersheds. Some modifications may be needed for the accurate representing the processes at paddy field.

• Journal of Korean Society of Environmental Engineers
• /
• v.28 no.1
• /
• pp.104-110
• /
• 2006

Growth in population and urbanization has progressively increased the loadings of pollutants from non-point sources as well as point sources. Accordingly, release of contaminants from non-point sources, released with surface runoff of rainwater, is influenced by atmospheric phenomena, geology, and topography. This makes the control of non-point source difficult. Therefore, this study intends to reveal the characteristics of runoff and particle size distribution to observe the fundamental characteristics of runoff. Experiments were carried out at inner road of research center. Average concentration of runoff ranged from 26.8 to 126.4 mg/L for SS and $COD_{Cr}\;15.3{\sim}117.7mg/L,\;TN\;0.07{\sim}5.16mg/L,\;TP\;0.06{\sim}0.49mg/L$ and heavy metals $0.00{\sim}0.29mg/L$. First flush, indicated wash off of pollutant at first rain, was observed for all types of pollutants. Most pollutants revealed a very close correlation with SS ($R^2=0.93{\sim}0.99$). After analyzing characteristics of particle, particle was finer than that from previously examined data.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.3 no.4
• /
• pp.63-72
• /
• 2000

The objective of this study was to identify the applicability of AGNPS(Agricultural Nonpoint Source Pollution) model using RS data; Landsat TM merged by KOMPSAT EOC and GIS data. AGNPS model which is well-known distributed nonpoint source pollution model was used as the assessment tool. This model has the capability to adjust the level of pollutant load from farmstead and the fertilization level of upland field. A small agricultural watershed($4.12km^2$) which has 20 livestock farmhouses located in Gosan-myun, Ansung-gun was selected. AGNPS data were prepared by using Arc/Info, GRASS, ER-Mapper and Idrisi. Four storm events in 1999 were used for runoff calibration, and 2 storm events which were measured in hourly-base at 4 locations along the stream were used for water quality(TN, TP) calibration.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2021.06a
• /
• pp.452-452
• /
• 2021

하천 및 호소수역에 대한 수질오염원이 지속적으로 증가하는 경우에는 일반적인 농도규제 방식으로는 수질개선에 한계가 나타난다. 이를 해결하기 위해 목표 수질 한도 내에서 유역 배출원의 오염물질총량 관리를 목적으로 하는 수질오염총량관리제 개념이 도입되어 단위유역 지자체별 배출부하량을 관리하고 있지만, 지역의 오염원 배출 특성을 고려하지 않은 저감계획은 오히려 유역 내 새로운 오염원으로 전락하여 수질 개선 효과가 나타나지 않을 수 있다. 따라서 효율적인 총량 관리를 위해서는 수계 내 오염원 파악이 필수적이다. 본 연구에서는 수질오염총량제 대상 하천인 굴포천의 수질 오염원 분석을 위해 2016년, 2017년 굴포천 유역 토지이용 자료를 활용하여 수질항목과의 상관성을 파악하고 2016년부터 2020년까지 최근 5년 동안 총량측정망을 통해 측정된 유량 및 수질 자료를 이용해 상류, 중류, 하류 각각의 유량-부하량 관계식을 도출하여 지점별 수질 오염원 특성을 분석하였다. 상관분석 결과, 강우 시 밭과 BOD, SS, T-P는 양의 상관성을 보였고, T-N은 강우, 비 강우 시 관계없이 밭, 논에서 높은 양의 상관성을 보였다. 유량-부하량 관계식 도출 결과, 상류의 경우 BOD, COD, T-P, TOC, SS는 유량이 증가함에 따라 농도가 감소하는 특성을 나타내었는데 이는 2019년 4월 이후 오존처리 재이용수 방류에 따른 유량 증가의 영향이라고 사료 된다. 반면 T-N은 유량이 증가함에 따라 농도가 증가하는 특성을 나타내었는데 이는 오존처리 재이용수의 T-N 농도가 하천의 T-N 농도 보다 높아 발생한 것으로 보인다. 중류와 하류의 경우 BOD, COD, T-P, TOC, SS는 유량이 증가함에 따라 농도가 증가하는 특성을 나타내어 강우 시 비점오염원의 영향이 있는 것으로 보인다. 특히, 하류의 경우 유량이 증가함에 따라 수질 농도가 급격히 증가하여 중류에 비해 비점오염원 영향이 더 큰 것으로 나타났다.