비점원 오염은 점원 오염처럼 고정된 배출원이 존재하는 것이 아니라 불특정 장소에서 오염물질이 광역에 걸쳐 배출되는 것으로서, 대표적으로 지면피복 그 자체가 오염원으로 작용할 수 있다. 최근 우리나라 일부 지역에서는 여러 가지 원인으로 지면피복 변화가 급격히 발생하였는데, 이는 위성원격탐사를 통해 연속적 시공간에서 효과적으로 파악 가능하다. 본 연구에서는 NDVI (Normalized Difference Vegetation Index) 위성자료에 공간통계기법을 적용하여 우리나라 지면피복변화의 핫스팟을 추출하고, 실제 오염측정치를 이용하여 비점원 오염 특성을 지면피복변화와 관련하여 살펴보았다. 2003년과 2011년의 비교에서는 4군데의 지면피복변화 핫스팟이 탐지되었는데, 이 중 오염부하량 자료가 충분히 존재하는 새만금 핫스팟과 화성호 핫스팟 유역에 대한 분석 결과, 비점원 오염의 유출이 집중되는 하구 부분에서 오염부하량의 상당한 증가가 발견되었고, 특히 화성호 핫스팟의 경우 농지 증가의 영향이 컸던 것으로 나타났다. 이처럼 지면피복변화의 핫스팟 추출을 통해 국토변화를 모니터링하고 핫스팟 유역의 비점원 오염부하량이 지역적으로 어떠한 특성을 보이는지 분석하는 것은, 국토 보전 및 개발에 있어 유용한 참고자료가 될 것으로 사료된다.

In order to study the change of pollution loads flowing into Mokpo harbour after the operation of Mokpo Municipal Sewage Treatment Plant (MMSTP) and to evaluate the contribution of MMSTP operation to the improvement of marine water quality of Mokpo harbour, the pollution loads flowing into Mokpo harbour from land in dry weather were surveyed and estimated on the bases of the seasonal flow rates and the seasonal water qualities of streams and effluents located around Mokpo harbour from summer, 1997 to spring, 1998 before the operation of MMSTP, and the pollution loads of the inflow and the effluent of MMSTP were also surveyed and estimated from winter, 1998 to spring, 1999 after the operation of MMSTP. The treatment rates of MMSTP were shown to be about 49% in COD, 76% in TSS, 79% in VSS, 3% in T-N, 7% in DIP, 29% in T-P and -32% in DIN. The change rates of pollution loads flowing into the inner harbour of Mokpo due to the operation of MMSTP were shown to be about 56% In COD, 78% in TSS, 84% in VSS, 45% in DIN, 22% in T-N, 34% in T-P and -14% in DIP. The contribution rates of MMSTP operation to the reduction of total pollution loads flowing into the entire Mokpo harbour were found to be about 3% in COD, 3% in 755,5% in VSS,1% in DIP, 3% in T-P and -1% in DIN.

본 연구에서는 황룡강 유역에 유역모델 HSPF (Hydrological Simulation Program - Fortran)를 적용하여 기후변화에 따른 오염부하 유출 변화량을 분석하였다. 황룡강 유역을 7개 소유역으로 분할하고 2011년에 관측된 유량, SS, BOD, TN, TP 농도자료를 이용하여 모델 보정 및 검정을 실시하였다. 기후변화에 따른 황룡강 유역의 환경변화를 예측하기 위해 RCP 4.5와 8.5 시나리오를 이용하였으며, 과거 기간 동안의 강우와 기온에 대한 모의치와 관측치간 월별 평균을 비교하여 미래 기상 자료에 대한 편의보정을 수행하였다. 기후변화 시나리오의 기상 자료 분석 결과, 21세기 전반기와 비교하여 중, 후반기에 상대적으로 많은 연강수량과 연평균기온을 보이는 것으로 분석되었다. 기후변화에 따른 황룡강 유역에서의 오염물질 유출량 분석 결과, RCP 4.5 시나리오에서는 2020년대 대비 2080년대에 평균 연간 강우, BOD, TN, TP 유출량이 각각 47%, 24%, 21%, 27% 증가율을 보여 21세기 후반기로 갈수록 연간 오염부하 유출량이 전반적으로 증가하는 것으로 분석되었다. RCP 8.5 시나리오에서는 2020년대 대비 2050년대에 평균 연간 강우, BOD, TN, TP 유출량이 각각 34%, 20%, 20%, 21% 증가율을 보이며 21세기 중반기에 연간 오염부하 유출량이 상대적으로 가장 많이 증가할 것으로 분석되었다. 이는 연강수량 변화와 동일한 패턴의 변화로서 기후변화에 따른 강우량 변화가 오염물질 유출량에 그대로 반영된 결과를 보여준다. 한편, 월별 오염물질 유출량은 RCP 4.5에서는 9월에, RCP 8.5에서는 2월에 상대적으로 크게 증가할 것으로 분석되었다.

This study presented the phytoplankton communities of the three lakes (Sayeon, Daeam, Hoeya ) using for drinking water in the Ulsan reservoir. The water storage of the Lake Sayeon, Daeam and Hoeya were 25 , 13, 21 million ton respectively and most of which were being utilized for industrial and residential purposes. The total precipitation of the Ulsan region in 2010 was 1,162 ㎜, decreasing 10 % from 1,275 ㎜ of the annual. As for pollutant loads, BOD and TN discharge loads of Daeam was the highest with 3,277 ㎏/day, 1,931 ㎏/day and 90 % of them were came from non-point pollutant sources. TP discharge loads showed the highest in the lake Hoeya with 643 ㎏/day and 97 % of them were came from point sources as household, industry and livestock. We assessed water quality of the lake Sayeon, Daeam and Hoeya using 17 variables. The water quality assessment found that the lake Daeam met the fourth to fifth grade because of high concentration of COD, SS and chlorophyll-a. Eutrophication assessment was conducted by revised Carlson's Index (TSIm, Aizaki) and found that Lake Daeam was more eutrophicated than the other two lakes all the year through as for chlorophyll-a, transparency and the total phosphorus (TP). A total of 95~111 phytoplankton species were identified from the three lake samples. Among them, the largest number of species were Chlorophyceae with 35~51, followed by Bacillariophyceae with 36~45, Cyanophyceae with 9~11, and Cryptophyceae with 6~9 species. The total cell number of phytoplankton was the highest in February (15,254 cells/ mL) with Bacillariophyceae in the lake Daeam and the seasonal succession shows that Bacillariophyceae (Stephanodiscus spp.) in the spring, Cyanophyceae (Anabaena spp.) in the summer and the autumn, Bacillariophyceae (Stephanodiscus spp.) in the winter.

This study presented seasonal changes of the phytoplankton community in Junam reservoir by pollution and water quality of the lake. The water storage of the reservoir is 5.3 million ton, most of which are being utilized for agricultural, industrial and residential purposes. The annual precipitation during the investigation period was 1,868.9 ㎜, increasing by 20% from the average annual level of 1,506.7 ㎜ in 2009. The annual average water storage was 57.3%. It decreased during agricultural season and then increased again after monsoon rainfall. The loads of BOD were 3,799 ㎏day -1 , and 81% of them came from livestock and household. The TN and TP loads were 1,164 ㎏day -1 and 170 ㎏day -1 , respectively, and 76% of them came from livestock. We assessed water quality of the Junam reservoir using 17 variables. According to the result, the reservoir met the fourth grade, meaning slightly bad, because of high concentration of COD, SS and chlorophyll-a. Eutrophication assessment was conducted by revised Carlson's Index (TSIm, Aizaki), and it was found that the entire lake was eutrophicated with high chlorophyll-a concentration all through the year, except during February to April and in July. A total of 76 phytoplankton species were identified from the samples. Among them, the largest number of species were Chlorophyceae with 33 species(43.4%), followed by Bacilliophyceae with 27 species(35.5%), Cyanophyceae with 8 species(10.5%), and Cryptophyceae with species(10.5%). The total cell number of phytoplankton was the highest in October(7,884 cells mL -1 ) among Cyanophyceae and Bacilliophyceae. The seasonal succession of Chlorophyceae (Chlamydomonas spp.), Cyanophyceae(Microcystis aeruginosa) and Cryptophyceae(Rhodomonas spp.) was observed during January to May, July to September and October to December respectively.

When the Juam multipurpose dam which is connected with existing large water supply facilities is finished, water environment is changed from stream to lake. The changed quality of water should be examined. In this study, the result of water quality forecasting is analysed and an effective management plan of water quality is presented. In this study, the WASP5 model that is a dynamic water quality simulation model was selected to forecast the water quality. This model forecasts movement of change of pollutants. For an application of the model, the subject areas were divided into seventeen sub-areas by considering change temperature depending measuring points and on depth of water. Meteorological data collected by the meteorological observatory and data about quality measured by the Korea Water Resources Development Corporation were used for an operation of the model. As a result of quality examination through quality data and estimated pollutant loading, the water quality environment criterion was grade Ⅱ and the nutritive condition was measured as meso-graphic grade. In this study, an effective management was planned to improve water quality by reducing pollution load. According to the result of examination, when more than 30% of BOD was reduced it was recorded that the environment standard of water quality was improved to the second grade.

하천을 따라 분포된 비점 오염원을 하천 수질모형의 매개변수들과 동시에 추정하는 체계적인 방법을 제안하였다. 수립된 방법을 QUAL2E 모형과 함께 충주댐 하류의 남한강 구간에 적용하여 모형의 반응계수와 비점 오염 부하량에 대한 최적 추정을 수행하였다. 민감도 분석 결과로부터 선정된 반응계수들에 대한 초기 추정 결과에 따르면 하천 시스템에 대한 질량수지가 만족되기 위해서는 질소와 인의 비점 오염 부하량의 입력이 필요한 것으로 나타났다. 이에 따라 총질소와

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