본 연구의 목적은 다목적 조수지의 홍수조절능력을 극대화하기 위한 홍수시 실시간 저수지운영 의사결정 지원 시스템을 개발하는 것이다. 본 연구를 통해 개발된 의사결정 지원시스템은 모델베이스와 실시간 자료처리 부시스템, 사용자 인터페이스로 구성되어 있으며, 사용자 인터페이스는 모형에 의해 예측된 홍수조절지점의 수문곡선과 저수지의 저수위 그래프르 그래픽 형태로 보여줄 수 있도록 개발되었다. 개발된 시스템의 적용성을 검증하기 위하여 금강유역의 1987년 7월 및

저수지 운영의 기초가 되는 운영률은 대부분 과거기록 유입량중 최대 혹은 최소의 극한치 자료를 이용하거나 평균치 자료를 이용하여 도출하기 때문에 실제 운영에서 발생할 수 있는 불확실성에 대처한 기대편익 산정이나 운영방안 수립에는 적절히 이용할 수 없다. 또한 지금까지 개발된 대부분의 운영률은 유입량을 포함하여 모든 운영변수를 이미 알고 있다는 확정론적 방법에 기초하고 있어 유입량의 불확실성을 반영하지 못하는 단점이 있다. 이를 개선할 수 있는 방법으로 추

한국수자원공사가 수행한 중국 산서성 태원시 용수공급원인 분하강 상류 저수지 시스템은 매우 복잡하다. 이곳 저수지 시스템은 여러개의 저수지가 직렬로 연결될 계획이며, 운영에서도 여러 가지 목적이나 평가항목을 고려하는 다목적, 다기준 시스템이 될 것이다. 이 시스템에서 주요 저수지 운영목적은 용수부족과 저수지 퇴사량 최소화이나 황하도수사업이라는 대규모 펌핑 시스템과 연계 운영이 필요하다. 황하도수계획에서의 용수개발비는 저수지를 통한 개발비 보다 비싼 편이며

The seasonal changes and composition of phytoplankton of the Choonsan reservior were studied from November 1990 to October 1991. 195 taxa which belong to 65 genera, 150 species, 40 varieties and 1 forms were identified. Species number during summer monthes was higher than that of other seasons. Standing crops of phytoplankton were varied from 7.8 × 10 exp (5) cells/ℓto 2.2 × 10 exp (6) cells/ℓ The dominant species were Cryptomonas erosa and Trachelomonas uolvocina. Chlorophyll a contents of phytoplankton was varied from 1.36 ㎍/ℓto 127.46 ㎍/ℓ. The biotic indices of phytoplankton were very similar among three sites. Saprobien-system by index of species diversity suggests that the Choonsan reservior belongs to the oligosaprophic.

A study on phytoplankton community was carried out from June, 1992 to May, 1993 at selected stations in Hoedong Reservoir. The phytoplankton are identified as 176 taxa including 5 phylum, 67 genera. The important species in this reservoir were Asterionella formosa, C. meneghiniana, Dictyasphaerium pulchellum, Fragilaria crotonensis, Melosira distans, M. granulata, M. granulata var. angustissima, M. granulata var, angustissima f. spiralis, Micractiniurn pussillum, Microcystis aeruginosa, Pandorina morum, Pediastrum boryanum, P. duplex, Peridinium sp., Scenedesmus quadricauda, Synedra acus, S. rumpens and S. ulna. The causative species of water bloom were identified as Microcystis aeruginosa, Trachellomonas hispida, Ceratium hirundinella, Peridinium sp., Melosira italica, Staurastrum dorsidentiferum var. ornatum in the area. During the study periods standing crops of phytoplankton were maximum in August, 1992 and minimum in December, 1992. The species dominance index and diversity index were ranged 24.7-99.9, 0.001-3.06, respectively.

The purpose of this study is to develop a linear reservoir model with Kalman filter using Kalman filter theory which removes a physical uncertainty of rainfall-runoff process. A linear reservoir model, which is the basic model of Kalman filter, is used to calculate runoff from rainfall in river basin. A linear reservoir model with Kalman filter is composed of a state-space model using a system model and a observation model. The state-vector of system model in linear reservoir model with Kalman filter takes the ordinate of IUH from linear reservoir model. The average value of the ordinate of IUH for a linear reservoir model with Kalman filter is used as the initial value of state-vector. A linear reservoir model with Kalman filter shows better results than those by linear reserevoir model, and decreases a physical uncertainty of rainfall-runoff process in river basin.

Shingal reservoir is a relatively small (211ha) and shallow impoundment, and approximately 25 ha of its sediment is exposed after spring drawdown. At least 14 vascular plant species germinate on the exposed sediment, but Persicaria vulgaris Webb et Moq. quickly dominates the vegetation. In order to estimate the role of the vegetation in the dynamics of heavy metal pollutants in the reservoir, Cu concentration of water, fallout particles, exposed sediment, and tissues of P. vulgaris, was analyzed. Cu content in reservoir water decreased from 13.10㎎/㎡ on May 15 (before drawdown) to 3.08㎎/㎡ in June 1 (after drawdown), mainly due to the lowering of water level. Average atmospheric deposition of Cu by fallout particles was 10.84 μ g/㎡/day. Cu content in the surface 15㎝ of exposed sediment decreased from 5.094g/㎡ right after drawdown, to 0.530g/㎡ in 41 days, which is a 89.6% decrease. Therefore up to 99.7% of Cu in the reservoir appears to exist in the sediment, only 0.3% in water. If the rate of atmospheric input by fallout particles is assumed to have been the same since 1958, when the reservoir was completed, cumulative input of Cu during the 38 years would have been 150.35㎎/㎡, which is only 3.0% of Cu content in sediment right after drawdown. Therefore, most of Cu in the Shingal reservoir must have been transported by the Shingal-chun flowing into the reservoir. Standing crop of vegetation on the exposed sediment 41 days after drawdown was 730.67g/㎡, of which 630.91g/㎡ was P. vulgaris alone, and Cu content in P. vulgaris at this time was 6.612㎎/㎡. This was only 0.13% of Cu in the exposed sediment, but was 50.5% of Cu in water before drawdown, or 167% of the average annual input of Cu by atmospheric deposition. If other plants were assumed to absorb Cu to the same concentration as P. vulgaris, total amount of Cu absorbed in 41 days by vegetation on the exposed sediment is estimated to be 1913.3 g, which is a considerable contribution to the purification of the reservoir water.