In order to improve the prediction of the regional air quality modeling in the Seoul metropolitan area, a sensitivity analysis using two PBL and microphysics (MP) options of the WRF model was performed during four seasons. The results from four sets of the simulation experiments (EXPs) showed that meteorological variables (especially wind field) were highly sensitive to the choice of PBL options (YSU or MYJ) and no significant differences were found depending on MP options (WDM6 or Morrison) regardless of specific time periods, i.e. day and night, during four seasons. Consequently, the EXPs being composed of YSU PBL option were identified to produce better results for meteorological elements (especially wind field) regardless of seasons. On the other hand, the accuracy of all simulations for summer and winter was somewhat lower than those for spring and autumn and the effect according to physics options was highly volatile by geographical characteristics of the observation site.

2005년 유기성폐기물의 직매립이 금지되었다. 또한 유기성폐기물의 해양배출 기준 강화에 따라 2013년부터 음식물류폐기물의 해양배출이 금지되었다. 국내 2013년 음식물류폐기물 발생량은 전체 생활폐기물 중 26.0%인 12,501 톤/일 규모로 배출되고 있으며, 처리량은 2012년 대비 약 58.4%로 매년 급증하고 있다. 최근 음식물류폐기물의 처리방안으로 바이오가스화가 주목받고 있다. 정부는 “폐자원 및 바이오매스 에너지대책 실행계획”(환경부 2009) 등을 바탕으로 바이오가스화 시설의 신규 설치 및 운영을 추진하고 있다. 바이오가스화 시설의 신규 건설이 본격적으로 이루어지는 반면, 운전 효율성은 운전 및 유지관리 미숙, 계절별 영향 등으로 인하여 처리기준에 미치지 못하는 시설이 다수인 실정이다. 본 연구에서는 실제 운영 중인 A지역의 음식물류폐기물 바이오가스화 시설을 대상으로 계절별 산발효조의 정밀모니터링 및 시설 운영인자를 조사･분석하여 계절별 산발효조 상태에 따른 혐기소화조의 운전효율성을 평가하고자 하였다. 산발효조의 현황을 파악하기 위하여 봄, 여름, 가을에 걸쳐 휘발성지방산, 영양물질, CODcr 등의 정밀모니터링을 실시하였다. 또한 해당 시설의 바이오가스 생산량, 휘발성지방산 등과 같은 운영 자료는 2014년 3월부터 2015년 4월까지 약 1년 동안의 데이터를 바탕으로 월별 평균 값을 도출하였다. 분석결과와 운영 자료를 비교·분석한 결과, 여름철 온도의 상승의 영향으로 산발효조 내부에서 음식물류폐기물이 더욱 활발히 분해되어 휘발성지방산의 농도가 증가하였다. 이에 따라 여름철 산발효조의 영향으로 메탄생성율 및 바이오가스의 메탄 함량(%)이 저하되는 경향을 보였다. 특히 메탄생성율은 여름철(6~8월) 30.0~41.03 m³ CH4/tonFWL, 여름을 제외한 다른 계절의 경우 38.6~51.6 m³ CH4/tonFWL로 계절에 따른 차이를 나타내었다.

The seasonal variation of phytoplankton communities and its standing crops in accordance with environmental factors were investigated at Yeongrang-ho, Cheongcho-ho, Mae-ho and Hyang-ho which are located in the East coast of Korea during April to October 2011. High concentrations of T-N and T-P were observed in four lagoons due to the inflowing nutrients from farmlands and residential areas near lagoons. Nutrient salts mainly composed of nitrogen and phosphate caused the eutrophication of the lakes, leading to the robust growth of phytoplankton. During the period of investigation, 64 to 107 taxa of phytoplankton were observed in four lagoons. Diatoms were the most dominant species with high density. Non-point pollution source was estimated as the main cause of water pollution of lagoons. Trophic states of lagoons evaluated using the value of TSI and TSIKO indicated that all the investigated lagoons were in the eutrophication state.

본 연구는 계절별 절임배추의 품질 균일화를 위한 기초 자료를 제공할 목적으로 저온 저장 중 물리화학적, 미생물학적 및 관능적 품질 특성 조사하였다. 전반적으로 계절별(봄배추, 여름배추, 가을배추 및 월동배추) 절임배추의 제조 직후 pH는 저장 초기 계절별 시료 간 차이를 보이다가 저장 후반에는 시료 간 차이가 없었다. 적정산도는 가을 절임배추가 비교적 낮은 산도를 보였고, 가용성 고형분 함량은 월동배추가 비교적 높은 함량을 보였으며, 미생물 균수는 여름배추가 가장 높은 균수를 보였다. 관능검사의 경우 계절별 절임배추의 외관의 변화 냄새와 맛 특성 변화도 계절별 시료에 따라 차이가 있었고, 관능적 품질 특성 항목간의 상관관계 분석결과 유의적으로 양 또는 음의 상관성을 보이는 품질 특성이 많아서 절임배추 저장 중에 한 개의 품질 특성만 변화하는 것이 아니라 여러 가지 특성이 함께 변화한다는 것을 확인할 수 있었다. 한편 계절별 절임배추 전반적인 품질 특성의 주성분 분석 결과 첫 번째 주성분(F1)과 두 번째 주성분(F2)는 전체 데이터의 51.98%와 14.23%의 설명력을 보여 주었고, 총설명력은 66.21%였다. 계절별로 월동배추는 F1상의 위쪽, 봄배추는 중간, 나머지 시료는 F2상의 아래쪽에 분포하였고, 저장기간에 따라서는 F1상의 왼쪽에 저장 일수가 적은 절임배추 시료가 오른쪽에는 저장 일수가 많은 시료가 위치하였다. 본 연구 결과 계절별 절임배추의 품질 특성이 제조 직후부터 저장 중에도 계속 시료 간 품질 차이가 뚜렷하게 있음을 확인하였다. 그러므로 품질이 균일화된 절임배추를 연중 소비자에게 제공하기 위해서 계절별 절임배추의 품질 특성과 저장 중의 차이를 고려하여 고품질의 절임배추 제조와 품질을 유지할 수 있는 연구 및 계절별 저장 절임배추를 이용한 김치 제조 연구가 지속되어야 한다고 판단된다.

The seasonal variations of sea surface winds and significant wave heights were investigated using the data observed from the marine meteorological buoys (nine stations) and Automatic Weather Stations (AWSs) in lighthouse (nine stations) around the Korean Peninsula during 2010~2012. In summer, the prevailing sea surface winds over the East/West Sea and the South Sea were northerly/southerly and easterly/westerly winds due to both of southeast monsoon and the shape of Korean Peninsula. On the other hand, the strong northerly winds has been observed at most stations near Korean marginal seas under northwest monsoon in winter. However, the sea surface winds at some stations (e.g. Galmaeyeo, Haesuseo in the West Sea) have different characteristics due to topographic effects such as island or coastal line. The significant wave heights are the highest in winter and the lowest in summer at most stations. In case of some lighthouse AWSs surrounded by islands (e.g. Haesuseo, Seosudo) or close to coast (e.g. Gangan, Jigwido), very low significant wave heights (below 0.5 m) with low correlations between sea surface wind speeds and significant wave heights were observed.

본 연구는 계절별 배추 원료의 최적 절임 조건 및 저장성 연구를 위한 기초 자료 제공을 위하여 계절별 절임배추의 물리화학적 및 미생물학적 특성 조사와 이들 특성의 상관성을 조사하였다. 계절별(봄배추, 여름배추, 가을배추 및 겨울배추) 절임배추의 pH와 적정산도의 경우 가을배추 시료가 6.02±0.04와 0.15±0.01%로 다른 계절의 절임배추 시료보다 pH는 약간 높고 적정산도는 약간 낮았다. 가용성 고형분 함량은 월동배추가 7.76±0.39%로 가장 높았고, 염도 함량은 계절별로 유의적인 차이가 없었다. 총균수의 경우 여름배추가 다른 계절의 배추보다 유의적으로 많은 균수가 있었고 색도는 유의적인 차이가 없었다. 조직감의 경우 경도(firmness)는 봄배추가 가장 높은 4.92±0.06 kgf였고, 단단한 정도(hardness)는 여름 배추가 11.71±0.53 kgf로 가장 높게 측정되었다. 한편 계절별 절임배추의 품질 특성간 상관관계를 분석한 결과 계절별 절임배추와 가용성 고형분 함량, 경도와 1% 유의수준 유의적인 상관성이 있었다. 또 주성분 분석 결과 첫 번째 주성분(F1)과 두 번째 주성분(F2)는(은) 전체 데이터의 각각 35.59%와 27.28%의 설명력을 보여 주었고, 총설명력은 62.87%였다. 주성분 F1은 계절, 밝기, 가용성 고형분 함량, 배추 두께, 총균수와 젖산균 수였고, 주성분 F2는 절임배추의 피크 개수였다. 계절별 절임배추의 품질 특성을 바탕으로 계층적 군집분석 결과 봄배추, 여름배추 그리고 가을과 월동 배추로 3그룹으로 나뉘었다. 이상의 결과에서 계절별 절임배추의 경우 물리화학적 및 미생물학적 품질 특성에 차이가 있음을 확인하였고, 품질 균일화와 고품질의 절임배추를 연중 생산하기 위해서는 각 계절별 배추의 품질 특성과 절임 적성에 관한 많은 연구가 필요하다고 사료된다.

Reliable long-term streamflow forecasting is invaluable for water resource planning and management which allocates water supply according to the demand of water users. It is necessary to get probabilistic forecasts to establish risk-based reservoir operation policies. Probabilistic forecasts may be useful for the users who assess and manage risks according to decision-making responding forecasting results. Probabilistic forecasting of seasonal inflow to Andong dam is performed and assessed using selected predictors from sea surface temperature and 500 hPa geopotential height data. Categorical probability forecast by Piechota's method and logistic regression analysis, and probability forecast by conditional probability density function are used to forecast seasonal inflow. Kernel density function is used in categorical probability forecast by Piechota's method and probability forecast by conditional probability density function. The results of categorical probability forecasts are assessed by Brier skill score. The assessment reveals that the categorical probability forecasts are better than the reference forecasts. The results of forecasts using conditional probability density function are assessed by qualitative approach and transformed categorical probability forecasts. The assessment of the forecasts which are transformed to categorical probability forecasts shows that the results of the forecasts by conditional probability density function are much better than those of the forecasts by Piechota's method and logistic regression analysis except for winter season data.

Reliable long-term streamflow forecasting is invaluable for water resource planning and management which allocates water supply according to the demand of water users. Forecasting of seasonal inflow to Andong dam is performed and assessed using statistical methods based on hydrometeorological data. Predictors which is used to forecast seasonal inflow to Andong dam are selected from southern oscillation index, sea surface temperature, and 500 hPa geopotential height data in northern hemisphere. Predictors are selected by the following procedure. Primary predictors sets are obtained, and then final predictors are determined from the sets. The primary predictor sets for each season are identified using cross correlation and mutual information. The final predictors are identified using partial cross correlation and partial mutual information. In each season, there are three selected predictors. The values are determined using bootstrapping technique considering a specific significance level for predictor selection. Seasonal inflow forecasting is performed by multiple linear regression analysis using the selected predictors for each season, and the results of forecast using cross validation are assessed. Multiple linear regression analysis is performed using SAS. The results of multiple linear regression analysis are assessed by mean squared error and mean absolute error. And contingency table is established and assessed by Heidke skill score. The assessment reveals that the forecasts by multiple linear regression analysis are better than the reference forecasts.

Air pollution inventories are aggregated around south-eastern part of the Korean Peninsular including Busan, Ulsan, and Changwon cities. Because densely populated cities are concentrated in this region, air pollutants emitted from one of these cities tend to be impacted on the air quality of other cities. In order to clarify the seasonal movement pattern of emitted particles, several numerical simulations using WRF/FLEXPART were carried out. Four cases were selected for each season. The Weather Research and Forecasting model (WRF) reproduced atmospheric flow fields with nested grids. The seasonal pattern of air mass of study area was determined by backward and forward trajectories. As a result, the air parcel moves from northwest to southeast due to northwesterly winds in spring and winter. Also air parcel transports from south to north in summer, and moves from west to east. Because the air mass moves differently in each season, these characteristics should be considered when performing air quality analysis.

The typical characteristics of seasonal winds were studied around the Pohang using two-stage (average linkage then k-means) clustering technique based on u- and v-component wind at 850 hpa from 2004 to 2006 (obtained the Pohang station) and a high-resolution (0.5 km grid for the finest domain) WRF-UCM model along with an up-to-date detailed land use data during the most predominant pattern in each season. The clustering analysis identified statistically distinct wind patterns (7, 4, 5, and 3 clusters) representing each spring, summer, fall, and winter. During the spring, the prevailed pattern (80 days) showed weak upper northwesterly flow and late sea-breeze. Especially at night, land-breeze developed along the shoreline was converged around Yeongil Bay. The representative pattern (92 days) in summer was weak upper southerly flow and intensified sea-breeze combined with sea surface wind. In addition, convergence zone between the large scale background flow and well-developed land-breeze was transported around inland (industrial and residential areas). The predominant wind distribution (94 days) in fall was similar to that of spring showing weak upper-level flow and distinct sea-land breeze circulation. On the other hand, the wind pattern (117 days) of high frequency in winter showed upper northwesterly and surface westerly flows, which was no change in daily wind direction.

The studies on community structure of benthic macroinvertebrates and environmental survey in selected four sites were performed on wetland Upo from 2008 to 2009. The lowest water temperature was measured at Upo and Mokpo showing 7℃ in February of 2008 and 2009 respectively. The highest water temperature was measured at Upo showing 32℃ in August of 2009. The lowest pH was measured at Topyeong with 5.3 in August of 2009, and the highest pH was measured at Mokpo with 10.1 in August of 2008. Generally the levels pH of 2008 were higher than those of 2009. The range of electric conductivity to the sites was big. Overall, the higher electric conductivity was seen at Sajipo and the lower one was seen at Mokpo. The level of Dissolved oxygen was lowest at Upo with 5.53㎎/ℓ in August 2008, and it was highest at Upo with 14.76㎎/ℓ in February of 2008. The investigation was performed with both quantitative and qualitative collecting methods from four surveying sites, Upo, Mokpo, Sajipo and Topyeong. Through the eight times of seasonal survey, 6 classes, 17 orders, 59 families, 131 species and 5460 individuals of benthic macroinvertebrates were collected. 6 classes, 17 orders, 53 families 106 species and 2439 individuals were identified in 2008, and 6 classes, 16 orders, 44 families, 93 species and 3021 individuals were collected in 2009. The number of species was decreased in 2009 comparing that of 2008, however, the number of individuals were increased in 2009. The dominant species and the subdominant species was Plea (Paraplea) indistinguenda and Diplonychus esakii with 20.16% and 11.90% of dominant indices respectively. From the community analysis, both the species diversity index and the species richness index were highest in Topyeong showing 4.743 and 9.054 respectively. The similarity evaluation to the investigation sites with the species in there showed very high similarity among Upo, Mokpo and Sajipo showing 5 or lower levels of distance cluster combine.

이 연구는 양식산 넙치의 성장단계별 및 계절에 따른 생리학적 반응과 혈액학적 요소들을 파악하고자 하였으며, 분석된 항목으로는 hematocrit, red blood cell, hemoglobin, 글루코스, 콜레스테롤, 총단백질, AST, ALT, , osmolality, 코티졸 및 였다. 성장단계별 혈액학적 성상에 있어 는 어류의 크기가 클수록 증가하는 경향을 나타내었다. 반면, 콜레스테롤은 어체의 크기가 클수록 감소하는 경향을 보였다. 계절별 혈액학

In order to investigate any differences of the characteristics of goat milk according to seasons and individual farms, we analysed and compared the components of fat, protein lactose, total solid, solid-not fat (SNF) and cells of goat milk collected from 8 individual farms between December 2006 and June 2007. Milk fat content has shown higher values in December to March than in other seasons, and SNF appeared especially higher in February. However, lactose content was not different according to seasons. Regional differences of milk components were not big at all either. Milk components from goats were in general similar to cow milk except a little lower fat content, but appeared higher than mare milk. Production of goat milk is in difficulty in aspects of balancing demand and supply due to its seasonal reproductive system. For the future of goat milk industry, it is necessary to develop various products of longer storage life.

식물의 유전자원은 여러 가지 형태로 보존되지만 자생식물의 화색은 꽃식물로서 자원을 활용하기 위한 측면에서도 큰 가치가 있다고 본다. 따라서 본 연구는 우리나라 자생식물의 화색을 anthocyanidin 분석에 의해 좀 더 진보된 유전자원으로서의 역할을 증진시키기 위해 1차적으로 문헌을 통한 자생식물의 계절별 화색을 알아보아 기초자료로 활용하고자 실시하였다. 자생식물은 총 107종을 선발하여 분류하였으며(Table 1), 한국 자원식물명총람, 한국의 야생식물, 야생화쉽게찾기 등의 자료를 참고하였다. 국내에는 관상가치가 높아 화훼작물로 개발 가능한 자생식물이 많이 있으나 화색에 관한 연구는 극히 미흡한 실정이다. 따라서 앞으로 화색 육종이나 유전자원으로서의 가치 보존을 위해서 폭 넓은 자생식물의 화색에 관한 연구를 수행할 예정이며, 화색육종을 위한 안토시아니딘에 대한 분석을 병행하고자 한다.