This study was performed to investigate the geochemical and benthic environment of three shellfish farms in Suncheon Bay during the period of September 2014 ~ April 2015. Three sampling stations were selected; St.1 is the shellfish farm of razor clam near Jangsan area. St.2 is the shellfish farm of small ark shell near Hwapo area and St.3 is the shellfish farm of razor clam near Yongdu area. Razor clam was the dominant species at St.1, small ark shell and granulated ark shell were dominant at St.2 and St.3, respectively. Granulated ark shell inhabited St.3, although it is not cultured at that station. This station’s exposure to air during the ebb tide and sediment composition likely provides the appropriate habitat for granulated ark shell species. Analysis of the number of different species showed that 8 benthos species were found to be distributed at St.1, 18 species at St.2, and 13 species at St.3. Among three stations, the highest Ignition Loss (IL), Chemical Oxygen Demand (COD) and Acid Volatile Sulfide (AVS) values were obtained from the sediment at St.2. The analysis of pore water from St.2 also showed the highest values of Total Organic Carbon (TOC), ammonia (NH4 +), Dissolved Inorganic Nitrogen (DIN) and phosphate (PO4 3-). These results are related to the fact that species dominance and richness is the highest in St.2.

Seasonal and stational variation of SS and COD were investigated from February 2008 to December 2010 and the relationship between them was discussed. During three years monitoring, SS decreased significantly (46% decline) possibly due to the increase of precipitation and thereby resulting salinity drop. COD on average was the highest in 2009. SS was the highest in autumn and the lowest in winter, and over 72% of SS was FSS. While SS is high in the upper sampling stations of the bay with shallow water, COD values do not show any relationship to the geomorphological characteristics. CODins, which was defined as COD after filtration, ranged 56%(winter) ~ 44.6%(summer) and showed no correlation with SS. It indicates that high SS concentration is not necessarily related to the high CODins. The seasonal CODins/SS data, which can be interpreted as COD density in SS, shows that SS in winter contains the dense COD materials compared to the other seasons.

참다래 품종 '헤이워드'와 우리나라에서 육성된 품종인 '한라골드', '제시골드', '제시스위트'를 동일한 조건에서 재배한 후 후숙 과정에서 발생하는 과실무름병의 발병률을 조사하였다. 발병률은 품종에 따라 큰 차이를 보였다. 품종별 발병률은 '헤이워드' 74.8%, '한라골드' 65.3%, '제시스위트' 57.1%, '제시골드' 16.2% 순으로 조사된 품종 중 '제시골드'가 과실무름병에 대한 저항성이 가장 컸다. 병반 부위에서 218개 균주를 분리하여 동정한 결과 과실무름병을 일으키는 병원균은 Botryspheria dothidea, Diaphorthe actinidiae, Botrytis cinerea의 세 종류로 밝혀졌다. 각 병원균의 검출률은 각각 95.4%, 4.6%, 2.3%로 B. dothidea가 과실무름병의 주요 병원균이었다.

한국, 중국, 러시아에서 자생하고 있는 가시오갈피에 대한 유전적 유연관계를 파악하기 위해 ITS (internal transcribed spacer)의 염기서열을 분석하였다. Universal primer를 사용하여 PCR로 증폭시킨 후 염기서열을 결정한 결과 ITS의 길이는 162 bp의 5.8S rRNA 유전자를 포함하여 한국산과 중국산은 608 bp 그리고 러시아산은 611 bp로 나타났다. ITS영역의 G+C 함량은 한국산과 중국산이 60.20%이고 러시아산이 60.06%였다. 한국산과 중국산의 ITS영역은 100% 동일하였으며, 러시아산은 한국산과 비교했을 때 3 bp의 염기삽입과 2 bp의 염기치환이 존재하여 99.2%의 상동성을 나타내었다. 따라서 한국산 가시오갈피는 러시아산보다 중국산과 유전적 유연관계가 더 가까운 것으로 추정된다. 또한 동일 속내에서는 오갈피나무보다는 음나무와 ITS 염기서열이 유사한 것으로 나타났다.

The hydrological frequency of the flood in July 2000 at Seosi stream basin in Gurye and the bed scour of the stream channel were estimated to investigate the bed scour related with Jeongjang bridge collapse. The storm over the basin in July 2000, 303mm/day was 103year frequency rainfall and the equivalent flood was 2580cms. As the results of 100year and 30year flood application, flood level 30.78～31.38m and mean velocity 3.79～4.03m/s were appeared. And the purification project of Seosi stream increased the velocity of the section near to Jeongjang bridge by the improvement of conveyance at the downstream. The local scour at pier was the major factor of bed scour at Jeongjang bridge site and the total scour at pier No.6 was increased from 2.32m to 2.45m by the purification project.

The objective of this study is to supply basic data for large reservoir sedimentation research in future and make suggestions to maintain and operate the reservoir more efficiently. At first, previous studies about the estimation of sediment yield rate were reviewed in Korea. And the discharge rating curves of upstream stage gauging stations and the correlation between dam inflow and stage discharge were analyzed. With the analysis results, the specific sediment rate of Soyanggang dam was estimated as 608 ^m3/㎢/yr It was similar to that of Soyanggang dam feasibility study and 1994`s field surveys of the reservoir than that of 1983`s field surveys. Because the sediment rating curves were derived under the low discharge conditions, it needs to be checked under the flood conditions. However, the suggested methods such as flowrate analysis and sediment estimation will be useful to the sediment studies in future.

For the prediction of multi-site rainfall with radar data and ground meteorological data, a rainfall prediction model was proposed, which uses the neural network theory, a kind of artifical intelligence technique. The input layer of the prediction model was constructed with current ground meteorological data, their variation, moving vectors of rainfall field and digital terrain of the measuring site, and the output layer was constructed with the predicted rainfall up to 3 hours. In the application of the prediction model to the Pyungchang river basin, the learning results of neural network prediction model showed more improved results than the parameter estimation results of an existing physically based model. And the proposed model comparisonally well predicted the time distribution of rainfall.