Numerical experiments were carried out to investigate the effect of data assimilation of observational data on weather and PM (particulate matter) prediction. Observational data applied to numerical experiment are aircraft observation, satellite observation, upper level observation, and AWS (automatic weather system) data. In the case of grid nudging, the prediction performance of the meteorological field is largely improved compared with the case without data assimilations because the overall pressure distribution can be changed. So grid nudging effect can be significant when synoptic weather pattern strongly affects Korean Peninsula. Predictability of meteorological factors can be expected to improve through a number of observational data assimilation, but data assimilation by single data often occurred to be less predictive than without data assimilation. Variation of air pressure due to observation nudging with high prediction efficiency can improve prediction accuracy of whole model domain. However, in areas with complex terrain such as the eastern part of the Korean peninsula, the improvement due to grid nudging were only limited. In such cases, it would be more effective to aggregate assimilated data.

A Visual landscape planning and management system has been introduced and implemented by each ministry so as to solve the problems of visual landscape destruction due to recognition on the value of natural landscape of beautiful territory and various development projects. At present, this system emphasizes the importance of the visual and perceptual aspect of the landscape however, there is a lack of techniques required for comprehensively predicting, evaluating, and managing it. Furthermore, sustainable landscape management after the completion of development projects has been inadequately carried out, as the focus has been only on consultation in the planning process of the development project in institutional performance. To this end, we presented objective and standardized criteria to predict and judge the effects of development projects on landscapes before project implementation. During the implementation of the development project, the influence of the visual landscape becomes accumulated in the construction progress stage. There is a need to identify the main viewpoints and to examine the continuous changes in the landscape-influencing factors, owing to the remarkable influences on the landscape, such as the change in the topography and the change caused by the artificial structure. During the stage of managing the influence on the visual landscape after the completion of the project, the influence on landscape should be monitored by measuring the change in the continuous landscape-influencing factors and determining the extent to which the actual reduction plan has been implemented. These processes should be performed continuously to maintain the quality of the visual landscape. The change in the landscape caused by the development project is shown to cause relatively greater visual damage than other factors composing the landscape owing to the influence of the artificial factors including the structure or the building. This shows that not only detailed examination of the visual impact before the development project but also continuous management is required during and after the development project. For this purpose, we derived eight landscape-influencing factors including form/shape, line, color, texture, scale/volume, height, skyline, and landscape control point. The proposed considering to be of high utilization in that it has a clear target of the landscape influencing factors.

교량 내하력 추정을 위해 제안된 모델에서는 응답계수를 충격계수 응답스펙트럼을 활용하여 산정하고 있다. 이때 충격계수 응답스펙트럼은 오일러-베르누이 보 모델을 바탕으로 차량이동하중이 교량의 폭 방향으로 중앙부에 재하 된 조건으로 생성된 결과이다. 따라서 중앙부 차량재하가 아닌 편측 이동하중재하 시 충격계수와 응답계수의 변화를 분석해 볼 필요가 있다. 이를 위해 본 연구에서는 폭이 10m인 2차선 단순교를 대상으로 이동하중해석을 실시하여 최대 충격계수와 응답계수 변화를 분석하였다. 수치해석 결과, 중앙부 재하조건 대비 편측 재하 조건 적용 시 최대 정적 및 동적 변위 모두 증가하지만 동적변위 보다 정적변위의 증가량이 더 크기 때문에 충격계수는 오히려 감소하게 된다. 하지만 이러한 차이는 0.5%p 미만으로서 그 영향이 크지 않다. 그리고 응답계수의 경우, 편측 재하조건으로 인해 정적응답계수보다 동적응답계수에서 차이가 더 크게 나타나지만 편측 재하에 따른 오차율의 차이는 0.18%p 정도로 매우 작았다. 즉, 편측 이동하중재하가 응답계수에 미치는 영향은 거의 없으며, 응답계수 산정에 있어서 중앙부 이동하중재하 조건으로 생성된 충격계수 응답스펙트럼을 활용하여도 충분한 예측이 가능하다고 판단된다.

The aim of this study was to determine the appropriate stockpiling methods for revegetation by comparing the germination status of seed banks before and after preservation for 2 years. Soil temperature in stockpiled topsoil was higher in open treatment and at 1.5 m, whereas soil water content was maintained at lower levels (14.06-19.08%), than those in the control group. The seed banks in stockpiled topsoil had 48 species and 1,559 individuals, among which perennials showed the highest number in terms of life forms, whereas Compositae and Gramineae were dominant in terms of families. Based on seed bank type, persistent seed banks had the highest number of species, while transient seed banks had the highest number of individuals. By stockpiling period, the number of species in the seed bank started to increase after 24 months, while the number of individuals began increasing after 12 months and exceeded that of the control group after 24 months. Regarding the treatment of stockpiling methods, the number of species and individuals in open treatment were closer to those of the control group. When analyzed by height, the number of species and individuals were higher at 0 m, but still lower than those of the control group. A multivariate analysis of variance (MANOVA ) showed that the optimal combination was obtained in open treatment and the number of individuals increased with the lengthening of the stockpiling period.

본 연구의 목적은 금강유역(9,645.5 km2)을 대상으로 극한 기후변화 사상에 따른 수문 및 유황의 변동을 평가하는 것이다. 본 연구에서는 객관적인 극한 기후변화 사상을 평가하기 위해 강우관련 극한지수(STARDEX)를 적용하고, GCM 10개의 RCP 8.5 기후변화 시나리오에 대해 4개의 평 가기간별(Historical: 1975~2005, 2020s: 2011~2040, 2050s: 2041~2070, 2080s: 2071~2100)로 분석하였다. 분석 결과 5개의 습윤 (CESM1-BGC, HadGEM2-ES), 중간(MPI-ESM-MR) 건조(INM-CM4, FGOALS-s2) 극한 기후변화 사상 시나리오를 선정하여 SWAT 모형에 적용하였다. 2080s 기간에서 중간시나리오 대비 2080s의 증발산은 -3.2~+3.1 mm로 변화하였고, 2080s의 총 유출량은 +5.5~+128.4 m3/s 변화하였다. 건조한 시나리오의 경우 2020s 중간시나리오대비 큰 변화를 보였다. 건조한 시나리오에서의 2020s의 증발산량은 -16.8~-13.3 mm 의 변화를 보였고, 총 유출량은 -264.0~132.3 m3/s의 변화를 보였다. 유황 변동의 경우, 2080s 기간의 습윤한 시나리오에서 CFR은 +4.2~+10.5, 2020s 기간의 건조한 시나리오에서는 +1.7~2.6으로 변화 하였다. 극한 기후변화 시나리오를 적용한 금강유역의 수문인자의 변화에 따라 유황분 석을 실시한 결과, INM-CM4는 극한 건조상태를 나타내기에 적절한 시나리오로 나타났고 FGOALS-s2는 유황변동이 큰 가뭄 상태 분석에 적절한 시나리오로 나타났다. HadGEM2-ES는 유황변동이 작게 나타났기 때문에 최대유량 분석 시 활용 가능한 시나리오로 평가되었고, CESM1-BGC 의 경우 유황변동이 큰 것으로 나타나 극한 홍수 분석 시 적용할 수 있는 시나리오로 평가되었다.

본 연구에서는 SWAT 모형과 random forest를 이용하여 미래 기후변화에 따른 한강유역(34,148 km2)의 수생태계 건강성을 평가하였다. 국립 환경과학원에서 8년간(2008~2015년) 봄철(4~6월)에 모니터링한 부착돌말류 지수(TDI), 저서형 대형무척추동물지수(BMI), 어류평가지수(FAI)는 0~100점, A~E등급으로 평가되며, 이를 본 연구에서 사용하였다. 수생태 건강성에 영향을 미치는 변수로는 수질(T-N, NH4, NO3, T-P, PO4)과 수온을 선정하였으며, 수질 오염도가 낮은 경우에는 수생태계 건강성 점수가 광범위하게 분포되지만 수질 오염도가 높은 경우 수생태계 건강성 점수가 낮아지는 역상관관계를 확인하였다. 기계학습의 분류 분석 기법 중 하나인 random forest 모델을 이용한 세 개의 수생태 건강성 지수 등급 분류 결과 정밀도, 재현율, f1-score 모두 0.81 이상의 예측 정확도를 나타내었다. 기상청의 HadGEM3-RA RCP 4.5와 8.5 시나리오를 적용한 미래 SWAT 수문, 수질 결과 기저유출의 증가로 인해 질소 계열 수질 농도는 기준년도 대비 최대 43.2% 증가하였고, 지표유출 감소로 인해 인 계열 수질 오염도는 최대 18.9% 감소하는 것으로 분석되었다. 미래 FAI, BMI의 등급은 개선되는 경향을 보이지만 TDI는 등급이 악화되는 것으로 나타 났다. 이를 통해 TDI는 질소 계열 수질에 민감하고 FAI, BMI는 인 계열 수질에 더 민감하다고 판단하였다.

Purpose – Unstable vegetable prices have been one of the major concerns in Korean agricultural and food marketing system. The Korean government has implemented a number of policy instruments, including government purchasing programs in order to alleviate fluctuations in vegetable prices. The economic impact of policy instruments has been assessed based on the average monthly price change rate before and after the implementation of the policy. However, this approach failed to provide a net impact of policy measures on price stabilization in the vegetable markets, as policy impacts could not be successfully distinguished from other effects on price changes in the vegetable market. The purpose of this study is to evaluate the net impact of the government purchasing program on the price volatility of dried red pepper which is considered one of the major vegetables in Korea. Research design, data, and methodology – This study develops a monthly dynamic partial equilibrium model of Korean dried red pepper market. Behavioral equations in the model were estimated by OLS and synthetic method based on the annual and monthly time series data from 1993 to 2015. The model is first simulated to yield actual dried red pepper market conditions in 2015 as a baseline and then compared it to the scenario assuming that there were no government purchases of dried red pepper in 2015. Results - According to the ex-post scenario analysis using the developed model, without the government procurements in 2015, the average monthly price change rate and the value of coefficient of variation of dried red pepper in 2015 would be respectably 7.9 percent and 0.10. It is relatively higher than the actual average monthly price change rate and the value of coefficient of variation of dried red pepper in 2015 which were respectively 1.7 percent and 0.06. Conclusions - The ex-post simulation results in this study shows that if there were no government purchases of dried red pepper in 2015, the dried red pepper market would have had much higher volatile price movements. The results of this study would provide useful information for future price stabilization policy of vegetable markets in Korea.

Purpose - The artificial intelligence industry plays an increasingly significant role in stimulating the development of United States of America’s economy. On account of this background, this paper attempts to explore the impact of artificial intelligence industry on United States of America’s macroeconomy. Research design, data, and methodology - This paper mainly focuses on the impact of artificial intelligence industry on GDP, employment, real income, import, export and foreign direct investment. Furthermore, the Phillips-Perron test and Canonical cointegrating regression will be employed to examine the impact of artificial intelligence industry on United States of America’s macroeconomy with a sample form 2010-Q1 to 2017-Q4. Results - Via the empirical analysis, the results reveal that the artificial intelligence industry has a positive effect on United States of America’s GDP, employment, real income, export and foreign direct investment. Conversely, the artificial intelligence industry has a negative effect on United States of America’s import. Conclusions - In summary, the impact of artificial intelligence industry on United States of America’s macroeconomy is positive and significant in statistics. Therefore, the government of United States of America should put more input into artificial intelligence industry.

In this study, the behavior of composite concrete under low velocity impact with various temperature condition was assessed. The displacement-time curve from the experimental device impactor was utilized. The results showed that there is a significant change in the ductility when composite material is used at different temperature condition.

In this study, it evaluate the impact resistance of UHPC by repeated impact. smooth steel fiber and polyvinyl alcohol fiber were reinforced in UHPC respectively. Overall, the impact resistance of the specimens reinforced with 0.4vol.% PVA fiber was high, and the crater diameter was small in specimens using 13mm fiber.

The second impact from the edge of cargo was found to be an crucial event causing large volume loss of concrete median barrier. Therefore, in order to improve local impact resistance of concrete median barrier during second impact, local model was developed and evaluations were conducted. Developed concrete median barrier showed the 125 kJ impact level based on conducted analysis.

In this study, we proposed a modified design equation for SC walls subjected to local impact load based on a series of experimental studies on the impact resistance of SC walls. Then, the results of the modified design equation was evaluated and verified based on the extensive experimental test data as well as numerical parametric analysis data. Finally we confirmed that the modified design equation provided reasonable results.

The impact factor response spectrum of bridges are generated based on the number of vehicle axles (one and three axles) and their boundary conditions (simply supported and both ends-fixed). In order to investigate the impact factor variation, a RC slab bridge aged over 40 years is considered. The natural frequencies for the current and undamaged initial state are evaluated from field test and FE model, respectively. Considering the natural frequencies and the generated response spectrum, the impact factors for each state are determined. From the result, the impact factor ratio defined the current to initial impact factor are almost same except the one axle and both ends-fixed case.

최근 기업에서는 자사 브랜드 또는 제품에 인플루언서를 활용한 마케팅이나 캠페인 활동을 전략적으로 펼치고 있는 사례가 많아졌다. 특히 소셜 네트워크상의 인플루언서 마케팅은 해외에서는 이미 활성화 되있으며, 국내에서도 지속적으로 늘어나고 있는 추세이나 SNS상에서의 인플루언서 유형과 제품에 따른 세부적인 연구와 미디어 인게이지먼트에 대한 소비자 반응 연구 측면에서는 선행연구가 희박하다. 일반적으로 국내의 소비자들이 SNS상에서의 제품 광고나 마케팅을 접하였을때 느끼는 정도는 인위적인 차원인데 반해, 인플루언서 즉 영향력 있는 1인을 내세워서 그들의 라이프 스타일에 스며들어 제품 을 보여주는 형태일때의 만족감이나 호기심, 주목성, 긍정적인 반응 등의 차원이 어떠할지 그 결과에 대한 소비자의 반응을 세부적으로 알아보는것이 필요한 시점이다. 이 연구는 소셜 네트워크상에서의 인플루언서를 활용한 제품이 소비자들의 관점에서 어떻게 받아들여지는지 소비자들의 평가를 조사하고자 인게이지 되는 유형중 사전조사를 통한 결과로 주목성이 제 품태도 및 구매의도에 어떠한 영향이 있는지 연구하였다. 그 결과 주목성의 고집단에서는 전문가가 더 높은 영향이 있으며, 저집단에서는 유명인이 높은 영향이 있음을 나타냈다. 따라서 소비자들의 주목성을 더 끌어올리기 위해서 인플루언서 유형 을 유명인에서는 자사 제품이나 브랜드에 대한 이미지와 일치하거나 전문성이 있는 유명인, 또는 제품의 전문가를 적절히 활용하면 소비자 평가에 긍정적인 효과가 높아질것으로 보여진다. 본 연구의 방향에 따른 결과로 기존의 전통 미디어와 다 르게 빠르게 변화하는 웹 2.0 시대에 맞는 미래지향적인 미디어로 SNS 마케팅 전략을 구사하여 소비자들로 하여금 제품에 대한 진정성, 신뢰감 및 공감을 형성시켜, 기업의 제품이나 브랜드 마케팅 활동에 도움이 될 것이라 생각한다.

While cities became bigger and bigger since 1990s, many indiscretely high buildings started to be built in the mountain areas inside a city and in the rural areas in the suburb of each city. To regulate such indiscrete developments, the government prepared for some relevant legal and institutional criteria by having enacted the “Landscape Act” and established a strong management means in the legal and institutional aspects by having introduced the natural landscape deliberation system and the landscape deliberation one into the “Natural Environment Conservation Act.” However, since some uniform levels of absolute height and no. of stories are suggested legally and institutionally, it is hard to consider the effects of a real building structure onto the relevant landscape. Accordingly, this thesis is intended to grasp the contrast of the landscape elements in the allowable height section, which is presented through landscape sensitivity. As the results from the visual contrast rating on a small apartment complex located in Dangjin and a large scale of apartment complex in Seosan as the apartment complexes surrounded with natural landscapes that were selected as the subjects of this study, the following conclusion can be finalized. First, there were deducted some factors, that is, forms, lines, colors, textures and sizes as the ones with which can measure and evaluate the contrasting properties when a structure gets into a natural landscape. Second, in case of a small scale of apartment complex (in the foreground) compared to a large one (in the foreground), it was found that the contrasting properties were bigger. In addition, it was also found that the contrasting property of the landscape factor of the foreground compared to that of the middle one becomes bigger depending on a distance. Third, as the results from an evaluation on the contrasting properties of the landscape factor depending on the changes of each floor of a structure, it was found that the factors, that is, forms, lines, colors, textures and sizes are very significant. Among those factors, the factors, forms and lines in a small scale of apartment complex (in the foreground) showed each log regression. But in all of the other cases, they showed each line regression. Fourth, as the results from examining the regression coefficients of the landscape factor, the coefficients of the shapes and lines have similar coefficients and the colors and the textures have similar ones, too. In case of the sizes of apartment complexes, the colors and the textures of a large apartment complex (in the foreground) have similar coefficients, in case of that in the middle ground, the shapes and lines have similar coefficients. Fifth, as the results from estimating the contrasting properties of the landscape factor on the floors within the allowed scope of the landscape sensitivity, it was found that the contrasting property was 3.5 to 4.9 in case of a small scale of apartment complex (in the foreground), but 2.5to 3.7 in case of a small scale of one. In case of a large scale of apartment complex, the value was 3.5 to 5.3, but in case of a large one in the middle ground was 2.9 to 4.9. Sixth, it was comprehended that the contrasting properties of the landscape factor become different depending on each size of apartment complex and the distance of a view point. In this study, it is intended to find the meaning from the aspect that the results can be used as the baseline data for comprehending a proper range of heights of structures objectively during a natural landscape deliberation or a landscape deliberation.

The rising of E-business and network trade has promoted the transform and new development of international trade. Due to this, this paper attempts to investigate the impact of E-business on international trade between China and South Korea. On the grounds of rapid development of E-business, the E-business is regarded as a determinant that can impact the international trade between China and South Korea. Meanwhile, the quarterly data form the first quarter of 2000 to the fourth quarter of 2017 are employed to conduct an empirical analysis under the vector auto-regressive model. The international trade between China and South Korea is treated as an independent variable. The E-business, the foreign direct investment and the real exchange rate are treated as dependent variables. Furthermore, a menu of statistic approaches such as the Granger causality test and the vector auto-regressive estimates will be used to testify the impact of E-business on international trade between China and South Korea. Via the Granger causality test, the results report that the E-business is major reason that can drive the development of international trade between China and South Korea. Through the vector auto-regressive estimates, the results also report that the E-business has a positive effect on international trade between China and South Korea. Furthermore, this paper provides a view that the E-business is a kind of a determinant that can promote the international trade between China and South Korea. Therefore, the China’s government should pay much attention to the infrastructure of E-business so as to enlarge the trade volume between China and South Korea.