도시화의 급격한 변화로 인한 불투수층의 증가는 도시 내의 강우유출수를 아무런 처리 없이 직접 도시 내에 유출되어 홍수, 첨두유량 증가 등의 문제점을 야기 시킨다. 이러한 문제점을 해결하기 위하여 미국, 유럽, 우리나라 등 많은 국가에서 개발 전 자연이 가지고 있던 수문학적 기능을 최대한 유지하면서 개발 후 발생되는 비점오염물질을 효율적으로 관리하는 저영향 개발 기술을 도입하고 있다. 따라서 본 연구에서는 도시지역 물순환 관리 및 비점오염물질 저감에 기여하고자 저류와 침투가 가능한 식생체류지를 개발 및 평가하고자 수행되었다. 본 연구는 식생체류지의 물순환 및 비점오염물질 저감 능력을 평가하기 위하여 공주대학교 내 주차장에 설치된 식생체류지의 모니터링을 수행하였다. 모니터링한 수질시료는 수질오염공정시험법에 준하여 입자상물질, 유기물, 영양물질 및 중금속에 대한 분석을 수행하였다. 또한 첨두유량 발생시간 및 지체시간, 첨두유량 저감 및 물수지를 산정하여 물순환 효과를 분석하였다. 식생체류지 시설의 모니터링은 2013년 11월부터 현재까지 총 11회가 수행되었으며 모니터링 결과, 강우유출수의 발생시간은 식생체류지를 적용하기 전에 비하여 약 40min 지체되는 것으로 나타났다. 또한 첨두유량의 발생 시간은 시설 적용 전에 비하여 약 80min 이후에 발생하는 것으로 분석되었으며, 첨두유량은 약 0.3m3/min 저감되는 것으로 나타났다. 물수지 산정 결과, 시설 내 저류 및 침투되는 양은 90%로 높은 물순환 효과를 나타낸 것으로 분석 되었다. 비점오염물질 저감효율을 산정한 결과, 모든 오염물질에서 90% 이상으로 높은 저감효율을 나타내는 것으로 분석되었다. 이는 여재부에서 일어나는 오염물질 저감 기작이 효과적으로 작용되는 것으로 판단된다.

The Ministry of Environment (MOE) has made more effort in managing point source pollution rather than in nonpoint source pollution in order to improve water quality of the four major rivers. However, it would be difficult to meet water quality targets solely by managing the point source pollution. As a result of the comprehensive measures established in 2004 under the leadership of the Prime Minister’s Office, a variety of policies such as the designation of control areas to manage nonpoint source pollution are now in place. Various action plans to manage nonpoint source pollution have been implemented in the Soyang-dam watershed as one of the control areas designed in 2007. However, there are no tools to comprehensively assess the effectiveness of the action plans. Therefore, this study would assess the action plans (especially, BMPs) designed to manage Soyang-dam watershed with the WinHSPF and the CE-QUAL-W2. To this end, we simulated the rainfall-runoff and the water quality (SS) of the watershed and the reservoir after conducting model calibration and the model validation. As the results of the calibration for the WinHSPF, the determination coefficient (R2) for the flow (Q, m3/s) was 0.87 and the R2 for the SS was 0.78. As the results of the validation, the former was 0.78 and the latter was 0.67. The results seem to be acceptable. Similarly, the calibration results of the CE-QUAL-W2 showed that the RMSE for the water level was 1.08 and the RMSE for the SS was 1.11. The validation results(RMSE) of the water level was 1.86 and the SS was 1.86. Based on the daily simulation results, the water quality target (turbidity 50 NTU) was not exceeded for 2009∼2011, as results of maximum turbidity in '09, '10, and '11 were 3.1, 2.5, 5.6 NTU, respectively. The maximum turbidity in the years with the maximum, the minimum, and the average of yearly precipitation (1982∼2011) were 15.5, 7.8, and 9.0, respectively, and therefore the water quality target was satisfied. It was discharged high turbidity at Inbuk, Gaa, Naerin, Gwidun, Woogak, Jeongja watershed resulting of the maximum turbidity by sub-basins in 3years(2009∼2011). The results indicated that the water quality target for the nonpoint source pollution management should be changed and management area should be adjusted and reduced.

최근에 불투수층의 증가로 인하여 표면의 저류량이 감소하고 첨두유출과 전체 유출량은 증가한다. 첨두유출과 첨두유출 도달시간이 빨라지게 되면 홍수 발생률이 증가하여 도시유역의 피해를 증가시키며, 토양으로 침투되는 우수량이 감소하여 지하수위가 하강하게 되고 도시하천이 마르는 건천화가 진행되어 유역의 물 순환이 악화된다. 또한 하천 수질 오염의 원인은 점오염원과 비점오염원 등이 있는데, 비점오염원에 의한 오염이 점점 커져가는 양상이다. 이러한 이유는 도시유역이 지속적인 개발로 인해 불투수율이 증가하게 되어 초기강우에 오염물질이 하천으로 유입되고 있기 때문이다. 따라서 본 연구에서는 도시유역의 물순환 회복을 위한 투수성 포장 효과를 분석하며, 투수성 포장의 비점저감 효과 및 첨두유량 감소 효과를 분석하고자 한다. 도시유역 유출 모델인 SWMM을 이용하여 단기 유출 모의를 통하여 투수성 포장의 효과를 분석하였다.

The objective of this research was to develop a relational database management system(RDBMS) to collect, manage and analyze data on agricultural non-point source(NPS) pollution. The system consists of the relational database for agricultural NPS data and data process modules. The data process modules were composed of four sub-modules for data input, management, analysis, and output. The data collected from the watershed of the upper Cheongmi stream and Geunsam-Ri were used in this study. The database was constructed using Apache Derby with meteorological, hydrological, water quality, and soil characteristics. Agricultural NPS-Data Management System(ANPS-DMS) was developed using Oracle Java. The system developed in this study can deal with a variety of agricultural NPS data and is expected to provide an appropriate data management tool for agricultural NPS studies.

Milyanggang mid-watershed is located in downstream of Nakdong river basin. The pollutants from that watershed have an direct effect on Nakdong river water quality and it's control is important to manage a water quality of Nakdong river. A target year of Milyanggang mid-watershed water environment management plan is 2013. To predict a water quality at downstream of Milyang river, we have investigated and forecasted the pollutant source and it's loading. There are some plan to construction the sewage treatment plants to improve the water quality of Milyang river. Those are considered on predicting water quality. As results, it is shown that the population of Milyanggang mid-watershed is 131,857 and sewerage supply rate is 62.2% and the livestock is 1,775.300 in 2006. It is estimated that the population is 123,921, the sewerage supply rate is 75.5% in 2013. The generated loading of BOD and TP is 40,735 kg/day and 2,872 kg/day in 2006 and discharged loading is 11,818 kg/day and 722 kg/day in 2006 respectively. Discharged loadings were forecasted upward 1.0% of BOD and downward 2.7% of TP by 2013. The results of water quality prediction of Milyanggang 3 site were 1.6 mg/L of BOD and 0.120 mg/L of TP in 2013. It is over the target water quality at that site in 2015 about 6.7% and 20.0% respectively. Consequently, there need another counterplan to reduce the pollutants in that mid-watershed by 2015.

우리나라는 기상학적으로 연중 총강수량의 약 2/3가 6~9월에 편중해서 내리고 있고, 지형적으로 국토의 70% 이상이 산지로 구성되어 경사가급해 수해를 입을 가능성이매우 크다. 또한 산업화 및 도시화로인해 불투수층의 증가로 강수량의 대부분이 직접유출로 기여해 강우초기에 노면상의 오염물질을 급속히 하천으로 이동시켜 오염을 가중시키고 있다. 특히 위락시설지역은 도시화에 따른 인구집중으로 지역민들에게 휴식공간 및 공원기능의 제공으로 비점오염원의 이동능력도 증

The runoff characteristics of non-point source pollutions in the municipal area of Jeonju were investigated and analyzed by using the SWMM (Storm Water Management Model). The flow rates and water qualities of runoff from two types of drainage conduits were measured respectively. One was a conventional combined sewer system and the other was a separated sewer system constructed recently. From August to November in 2004, investigations on two rainfall events were performed and flow rate, pH, BOD, COD, SS, T-N and T-P were measured. These data were also used for model calibration. On the basis of the measured data and the simulation results by SWMM, it is reported that 80-90% of pollution load is discharged in the early-stage storm runoff. Therefore, initial 10-30 mm of rainfall should be controlled effectively for the optimal treatment of non-point source pollution in urban area. Also, it was shown that the SWMM model was suitable for the management of non-point source pollution in the urban area and for the analysis of runoff characteristics of pollutant loads.

본 연구에서는 소유역에서의 오염총량을 추정하기 위하여 위성영상 카테고리분류 인공신경망 모형과 지리정보시스템 기반의 오염총량모의시스템(Total maximum daily Loads simulation System, TOLOS)을 개발하였으며, 발안유역의 HP#6 소유역을 시험유역으로 선정하여 유역 수문·수질 모니터링을 수행하였고, 시험유역의 도형 자료를 구축하여 TOLOS의 적용성을 평가하였다. TOLOS의 오염총량추정 모듈인 SWAT 모형은 논에서의 지

Chonan and Asan city have been a focal point due to rapid development as the first station for Express Railroad and key cities West Coast Development Region. Gokgyo stream adjacent to the cities plays an important role as a drainage channel for an agriculture and a discharger of urban storm water. Water quality of the stream has been deteriorating caused by pollution sources such as a untreated wastewater discharge and runoff from the watershed. In this study, we conducted 4 surveys in April, May, July, and September to understand the current state of water quality for the stream and to make it possibe to predict future water-quality variation for future development. The system runs on a personal computer under the windows enviroment and provides extensive graphics using graphic user interface(GUI) for user-friendly assessment. Using the pull-down menus provided by the GUI panel, the user is able to operate the system by pointing and clicking the icon to identify the state of water-quality at locations concerned. Furthermore, we developed an integrated watershed management system. The constructed system could be a useful tool as a decesion maker for pollution source control strategy.

To examine water pollution status of agricultural water source of greenhouse area in Gyeongnam, the ground water quality was investigated six times at five areas in Gyeongnam from October in 1995 to March in 1996. pH of ground water were generally in the range of 5.9∼7.6. But a site in Changnyeong area was out of the range in 6.0∼8.5 which is water quality standard for agriculture. COD of ground water was below 8.0㎎/ℓ which is water quality standard for agriculture in all areas and the average was below 2.8㎎/ℓ. NH_4^+ -N contents in ground water was very low in all areas and the average of NO_3^- -N contents in Changnyeong and Chinju area was high with 13.2 and 11.5㎎/ℓ, respectively. Hardness, SO_4^2- and EC of ground water in Haman were higher than any other area. Fe and Mn contents of ground water in Kimhae were higher than any other area with 7.17 and 0. 95㎎/ℓ, respectively. Heavy metals such as Cu, Cd, Pb and Zn of ground water were below water quality standard for agriculture but some sites were over. Between COD and SS in ground water were not correlated with r=0.328, but between COD and NH_4^+ -N were positively correlated. And EC was positively correlated with Ca^2+, Mg^2+ and SO_4^2-. Ground water pollution status of agricultural water source of greenhouse area in Gyeongnam was generally high in order of Sacheon < Chinju < Haman < Kimhae < Changnyeong.