본 연구에서는 국내 소규모 인공호수의 수질예측을 위한 부영양화 모형을 개발하였다. 모형의 상태변수로는 식물플랑크톤 (chl-a), PO4-P, 동물플랑크톤, 어류, 퇴적층내 PO4-P, 유기성 잔재물 (detritus)로 구성되어 있다. 식물플랑크톤(chl-a)관련 상태변수는 PHYT (식물플랑크톤의 건조중량), chl-a, PC (식물플랑크톤내 인농도)의 3종류이다. 본 모형의 민감도분석시 chl-a를 예측하는 두 종류의 부모형을 각기 본 모형에 결합시킴으로서 chl-a와 PO4-P 농도의 예측력을 각기 평가 하였다. 두 종류의 부모형은 식물플랑크톤 성장 모형으로 Monod 반응식을 이용한 모형과 인의 섭취와 조류성장을 구분한 이단계 부모형이다. 이 두 부모형을 각기 본 모형에 결합하여 예측한 결과 회동호 식물플랑크톤의 생태계를 적절히 반영할 수 있는 모형은 이단계 성장 부모형임이 밝혀졌다.
This study is to examine how well the hydrologic model reproduces the dam collapse. To do this, A hydrologic model FLO-2D is being operated to reproduce dam collapse with rainfall data and surface data in a small dam. In order to examine the performance of the model, the simulation was compared and reviewed with the data collected through the field survey. The results show that it takes about 2 hours to reach 1 km downstream. Inundation areas are about 188,640 m2 by the simulation and the difference from the field investigation is about 6.1%. Ten representative points were selected from the areas where the simulation and the field survey did not match. The discrepancy is less than about 0.08 m and does not appear to be significant. This study will present basic information on disaster preparedness operation and planning to minimize damage caused by sudden collapse of agricultural soil dams in the future.
When an agricultural soil dam collapses, the extent of inundation and the rate of diffusion vary depending on where the collapse occurs in the dam body. In this study, a dam collapse scenario was established and a two-dimensional numerical model FLO-2D was used to closely examine the inundation pattern of the downstream residential area according to the dam collapse point. The results were presented as a flood risk map showing the changes and patterns of the extent of inundation spread. The flood level and the time to reach the maximum water level vary depending on the point of collapse, and the inundation of the downstream area proceeds rapidly in the order of the midpoint, left point, and right point collapse. In the left collapse point, the submergence appeared about 0.5 hour slower than the middle point, and the right collapse point appeared about 1 hour slower than the middle point. Since the relative damage pattern is different depending on the dam collapse point, insurance and disaster countermeasures will have to be established differently.