인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
The purpose of this study is to forecast the eutrophication using an eutrophication forecasting model which is based on the WASP5 water quality model and incorporates a trophic status classification module. A trophic status classification module is developed to automatically visualize the eutrophication classification from the result of water quality simulation by WASP5. In this study, hydraulic, hydrologic, geographic and climatic data as well as water quality data from Daecheong reservoir and its catchment area were collected and analyzed in various ways so the data could be suitable for the input format of the eutrophication model. Future waste loads were calculated using the unit pollutant and increment ratio of waste loads. Applying the developed eutrophication forecasting model for the study area, water quality and trophic status for 1996, 2001 and 2006 were forecasted. From the result of the model application, it was found that the eutrophication at the Daecheong reservoir will be going on progressively and especially at the Janggegyeo site, severe eutrophication was forecasted after the year of 2001. It was concluded that the model developed can give useful information for the water quality conservation of Daecheong reservoir.
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목차
- ABSTRACT
- 국문요약
- Ⅰ. 서론
- Ⅱ. 기본이론
- Ⅲ. 부영양화 예측모형 구성
- Ⅳ. 적용 및 평가
- Ⅴ. 결론
- 참고문헌
참고문헌
참고문헌 신청최근 본 자료
UCI(KEPA) : I410-ECN-0101-2010-539-003383636
