동해 남서해역에서의 살오징어 유생 출현 특성을 파악하기 위해 2015년 8, 9, 11월 여수 근해부터 평해 연안까지 총 35개 정점에서 IKMT 네트(망목 : 500μm)를 사용하였으며, 초기 생활단계의 주요 해양환경 인자인 수온은 CTD(SBE9plus)로 관측하였다. 유생의 월별 외투장 자료의 통계처리를 위하여 SPSS software(ver. 12.0)를 이용하였다. 채집된 살오징어 유생의 개체수는 총 228개체로 외투장 범위는 1.4-21.9㎜였다. 유생밀도 범위는 8월에 0.2-5.2inds./1,000m3, 9월에 0.1-3.2inds./1,000m3, 11월에 0.3-7.9inds./1,000m3로 나타났다. 전반적으로 유생은 연안측 정점보다 조사해역의 동남부인 부산 근해에서 더 높은 밀도를 보였다. 8, 9, 11월의 유생출현률은 각각 64.3%, 62.9%, 68.6%였다. 평균외투장 범위는 5.24-5.68㎜였으며, 월별 평균외투장은 유의한 차이를 나타내지 않았다(p>0.05). 또한 외투장 분포에서 4-5㎜ 구간의 유생이 최다 출현빈도를 보였다. 유생이 채집된 정점에서 유생의 생존이 가능한 수온대가 8월에는 대부분의 정점에서 표층부터 약 20m 부근까지 유생이 서식하기에 부적합한 수온대가 존재하였던 반면, 9월과 11월에는 표층부터 유생이 서식하기 적합한 수온대가 형성되었다. 또한 얕은 수심의 연안쪽 정점에서는 표층에서 저층까지 적수온대가 형성되었으며, 100m 이상의 깊은 수심의 외양 쪽 정점에서는 표층부터 수온약층의 상층부까지 유생의 생존가능한 수온대가 형성되었다.

In this study, velocity distribution characteristics by location and uniformity according to exit straight length in a 180° mixed pipes were numerically analyzed using RSM (Reynolds Stress Model) turbulent model by changing various flow parameters such as working fluids, inlet air velocity etc. As a result of it, the working fluids characteristics was highly indicated by the viscous force difference, the maximum velocity points according to main pipe’s inlet velocity were indicated when 90° sectional location was distributed at X/D=0.5~0.6 region and 180° sectional location was distributed at Y/D=0.5 region. And the flow characteristics according to branch pipe’s inlet velocity when 90° sectional location was distributed at X/D=0.4~0.6 region and 180° sectional location was distributed at Y/D=0.5 region. Based on the results that the most stable exit straight length in flow uniformity was indicated at L/D=25~30 region, 40D is suggested as the effective measurement distance in the straight pipe downstream curved pipe of mixed pipe.

본 연구는 국내 냉동보관창고 보관온도에 대한 조사자료를 활용하여, 온도분포를 추정하였고 이를 미생물 위해 평가(microbial risk assessment; MRA)의 입력변수로 활용 할 수 있도록 적정 확률분포 모델을 제시하였다. 조사에 참여한 8곳의 냉동보관창고에서 측정된 공간상의 온도는 최저 -25.8oC, 최고 -10.3oC, 평균 -20.48 ± 3.08oC이었으며, - 18oC이상의 냉동창고 비율은 20.4%로 조사되었다. 공간별 온도분포는 자연대류를 이용하는 냉동창고의 경우 상단 (2.4~4 m) -22.57 ± 0.84oC, 중단(1.5~2.4 m) -22.49 ± 1.05oC, 하단(0.7~1.5 m) -22.68 ± 1.03oC, 최고온도차이는 1.78oC이 었으며, 강제대류를 이용하는 냉동창고의 온도분포는 상단 (2.4~4 m) -17.81 ± 1.47oC, 중단(1.5~2.4 m) -17.94 ± 1.44oC, 하단(0.7~1.5 m) -18.08 ± 1.42oC, 최고온도차이는 0.94oC로 조사되었다. 보관온도는 냉동창고 모든 공간에서 온도가 일정하게 유지되는 것이 아니라 편차가 존재하는 것으로 나타났다. 이상의 수집된 온도자료는 @RISK를 이용, 적합성 검정(GOF: A-D, K-S test)을 수행하여, MRA에서 활용할 수 있는 국내 냉동보관창고 온도분포에 대한 가장 적합한 확률분포모델로 Lognormal [5.9731,3.3483, shift(-26.4281)] 이 선정하였다.

학교는 미래 사회를 책임질 학생들이 가정만큼이나 많은 시간을 보내는 장소이다. 학교는 아동과 청소년들이 신체적·정신적으 로 안전하고 행복하게 생활할 수 있는 공간이어야 한다. 하지만 학교폭력 문제는 학교를 안전한 공간으로 지켜가는 과정에서 가장 큰 걸림돌이 되고 있다. 학교폭력으로부터 학생들을 보호하는 것은 학교와 사회가 가장 우선시해야 할 과제이다. 이 연구는 대전광역시를 사례로 학교폭력의 특성과 공간분포패턴 변화를 분석하였다. 첫째, 대전광역시 학교폭력의 요인별 특성을 살펴보았다. 중학교에서 가장 학교폭력이 많았으며, 여학생보다는 남학생의 학교폭력이 많았고, 폭행이 전체 학교폭력의 절반 이상을 차지하였으며, 사이버 폭력이 증가 추세에 있었다. 둘째, 대전광역시 학교폭력은 특정 학교와 행정동에 공간적으로 군집·격리되는 특징을 보였다. 이 연구는 도시의 공간적 특성을 반영한 학교 CPTED의 개발 및 적용이 중요함을 시사한다.

이 연구에서는 입력변수의 확률분포로부터 비선형 구조응답의 확률분포 추정방법을 제안한다. 응답함수를 확률변수들의 평균점과 응답의 꼬리부분 상위 0.01%값에 기여하는 확률변수조합에서 각각 1차 테일러급수로 근사한다. 두 응답함수에 대해 모멘트법을 적용한 후 이를 가우시안 분포로 추정한다. 추정된 두 분포를 결합하기 위해 연결함수를 도입하고, 분포의 연속조건을 적용하여 연결함수의 미정계수를 결정한다. 제안된 방법을 케이블 교량 예제에 적용하고, 카이제곱 검증을 이용하여 추정된 분포의 적합성을 확인한다. 기존의 모멘트법과 제안된 방법의 결과를 비교, 분석한다.

To investigate the temporal-spatial distribution of picophytoplankton in relation to different water masses in the northern East China Sea (ECS), picophytoplankton abundance were investigated using flow cytometry with environmental factors in 2016–2017. The results from the analysis of flow cytometer data showed that Synechococcus appeared across all seasons, exhibiting its minimum abundance in winter and maximum abundance in summer. Furthermore, high abundance was detected in the surface mixed layer during spring and summer when vertical stratification occurs; in particular, Synechococcus exhibited maximum abundance in thermocline layer, indicating a close correlation to water temperature and thermocline formation. In addition, the abundance of Synechococcus indicated a decrease in the western seas in 2017 compared to 2016 under the strong influence of the Changjiang Diluted Water (CDW). This was determined by the significant influence of the CDW on the abundance of Synechococcus during summer in the northern waters of the ECS. In contrast, Prochlorococcus did not appear during winter and spring, and its distribution was limited during summer and autumn in the eastern seas under the influence of the Kuroshio current. The largest range of Prochlorococcus distribution was confirmed during autumn without the influence of the CDW. Thus, the distribution pattern of each picophytoplankton genus was found to be changing in accordance to the extension and reduction of sea current in different seasons and periods of time. This is anticipated to be a useful biological marker in understanding the distribution of sea currents and their influence in the northern waters of the ECS.

To reduce subway passengers’ exposure to PM 10 (particulate matter less than 10 micrometers), management of PM 10 concentration in underground stations is critical. In this study, we attempted to investigate the distribution of airflow PM 10 concentration in an underground station. The numerical simulations were performed using computational fluid dynamics. In order to apply to CFD, measurement of air volume (supplied and exhausted air) and PM 10 concentration were conducted at the concourse and platform areas of the underground station. The results of the simulation agreed with the actual PM 10 concentration, and we confirmed the distribution of PM 10 concentration depending on air volume conditions. This result will be helpful to reduce the PM 10 in an underground station when using ventilation system.

Recently, quantitative analyses of food web structure based on carbon and nitrogen stable isotopes are widely applied to environmental assessments as well as ecological researches of various ecosystems, particularly rivers and streams. In the present study, we analyzed carbon and nitrogen stable isotope ratios of POM (both planktonic and attached forms), zooplankton, benthic macroinvertebrates and fish collected from 6 sites located at Nakdong River. Samples were collected from upstream areas of 5 weirs (Sangju, Gangjeong- Goryeong, Dalseong, Hapcheon-Changnyeong, and Changnyeong-Haman Weirs) and one downstream area of Hapcheon-Changnyeong Weir in dry season (June) and after rainy season (September). We suggested ranges of their carbon and nitrogen stable isotope ratios and calculated their trophic levels in the food web to compare their temporal and spatial variations. Trophic levels of organisms were relatively higher in Sangju Weir located at upper part of Nakdong River, and decreased thereafter. However, the trophic levels were recovered at the Changnyeong-Haman Weir, the lowest weir in the river. The trophic level calculated by nitrogen stable isotope ratios showed more reliable ranges when they were calculated based on zooplankton than POM used as baseline. The suggested quantitative ecological information of the majority of biological communities in Nakdong River would be helpful to understand the response of river food web to environmental disturbances and can be applied to various further researches regarding the quantitative approaches for the understanding food web structure and function of river ecosystems as well as restoration.

콩 재배지에서 콩씨스트선충(Heterodera glycines)과 반짝이씨스트선충(Heterodera sojae)의 지리적 분포에 관한 조사를 강원도와 충청북도 지역에서 수행하였다. 강원지역 10개시군, 67개 포장에서는 콩씨스트선충이 13개소, 반짝이콩씨스트선충이 5개소에서 검출되었고, 두 선충 혼 재하는 포장도 2곳이었다. 충북지역 9개 시군에서는 84개 조사 포장 중 27개소에서 콩씨스트선충이 검출되었고, 반짝이콩씨스트선충 4개소, 두 선충 혼재 발생지 5곳이었다. 강원, 충북 지역에서 콩씨스트선충류 검출 여부에 따라 발생하는 다른 식물기생성선충 속의 다양성과 우점도 지수 는 콩 재배지 사이에 유의한 차이를 나타내지 않았다. 콩씨스트선충과 토양 화학성 사이의 관계 분석에서는 결정계수가 낮게 나타났으며 콩씨스 트선충의 밀도가 높은 토양에서는 pH와 가용성 인산 함량이 높은 것으로 나타났다. 씨스트선충이 검출된 토양의 토성은 사질토가 전체 샘플의 60%를 차지하였다. 점토와 미사의 함량이 높은 토양에서는 콩씨스트선충의 밀도가 낮은 경향을 보였고, 모래 함량이 높은 토양에서 밀도는 높게 나타났다.

Analysis of water quality distribution is very important for river water quality management. Recently, various studies have been conducted on the analysis of water quality distribution according to reduction methods of nonpoint pollutant. The objective of this study was to select the probability distributions of water quality constituents (T-N, T-P, COD, SS) according to the farming forms (control, slow release fertilizer, water depth control) during non-storm period in the paddy fields. The field monitoring was conducted monitoring site located in Baeksan-myun, Buan-gun, Jeollabuk-do, Korea during non-storm period from May to September in 2016. Our results showed that there were no differences in water quality among three different farming forms, except for SS of control and water depth control. K-S method was used to analyzed the probability distributions of T-N, T-P, COD and SS concentrations discharged from paddy fields. As a results of the fitness analysis, T-N was not suitable for the normal probability distribution in the slow release fertilizer treatment, and the log-normal probability distribution was not suitable for the T-P in control treatment. The gamma probability distribution showed that T-N and T-P in control and slow release fertilizer treatment were not suitable. The Weibull probability distribution was found to be suitable for all water quality constituents of control, slow release fertilizer, and water depth control treatments. However, our results presented some differences from previous studies. Therefore, it is necessary to analyze the characteristics of pollutants flowing out in difference periods according to various farming types. The result of this study can help to understand the water quality characteristics of the river.

In engineering problems, many random variables have correlation, and the correlation of input random variables has a great influence on reliability analysis results of the mechanical systems. However, correlated variables are often treated as independent variables or modeled by specific parametric joint distributions due to difficulty in modeling joint distributions. Especially, when there are insufficient correlated data, it becomes more difficult to correctly model the joint distribution. In this study, multivariate kernel density estimation with bounded data is proposed to estimate various types of joint distributions with highly nonlinearity. Since it combines given data with bounded data, which are generated from confidence intervals of uniform distribution parameters for given data, it is less sensitive to data quality and number of data. Thus, it yields conservative statistical modeling and reliability analysis results, and its performance is verified through statistical simulation and engineering examples.

The objective of this study is to investigate the effect of torque variation on stress distributions in A-IMS module with both side tubular shaft yoke by numerically. In order to achieve this, the torque value was increased from 10Nm to 40Nm, and the results of this work were confirmed in terms of Von-mises Stress and the displacement characteristics. As the torque in module assembly was increased, the stress in tubular shaft york and splined shaft york was increased linearly. The indentation due to the steel ball was occurred in over 40N·m torque which is over the yield strength condition. The largest displacement occurred in the tubular shaft yoke 1, however, it does not exceed the yield strength and is supposed to be restored due to the elasticity. Therefore, it was concluded that there is no problem for the manufacturing of A-IMS with both side tubular shaft yoke.