• Journal of the Korea Organic Resources Recycling Association
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• v.22 no.1
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• pp.40-48
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• 2014

Due to increasing greenhouse gas emissions, global warming and abnormal weather phenomena it has become important on a national level to keep a count of greenhouse gases being emitted. We want to take advantage of any selected area, as the basic data for the calculation of greenhouse gas emissions, Forest and Grassland, Paddy fields, and Fields(crops), Greenhouse(crops), Pig farm, Cattle farm, Farm household(populations, agricultural machinery) and Vehicle, the basic building blocks shots with a small amount of per-unit basis, the statistics calculated based on regional carbon emissions through the literature and experimental. Carbon absorption 772,960 ton C/year, amount of fixation 487,477 ton C/year, amount of emission 1,112,607 ton C/year were noted in Gimje-si, and amount of carbon absorption 55,559 ton C/year, amount of fixation 25,864 ton C/year, amount of emissions 58,355 ton C/year in Gongdeok-myeon, respectively. The carbon absorption at Hwangsan-ri is 25,107 ton C/year, fixation 4,301 ton C/year, and emission 20,330 ton C/year respectively. We were able to estimate the amount of carbon according to the specific characteristics of each unit village, then expanding it to a large-scale and comparative analysis, therefore we were able to obtain basic data on the national levels of carbon absorption.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.227-230
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• 2007

If we use the microwave of SAR, we can observe on the ocean in spite of bad weather, day and night time. Sea surface images on the ocean of SAR have a lot of information on the atmospheric phenomena related to surface wind vector. Information of wind speed which is extracted from SAR images is used variously. Wind direction data and sigma nought value are put in the CMOD which can extract wind information in order to estimate sea surface wind from SAR images. Wind spectrum which is extracted from SAR always presents opposed two points of $180^{\circ}$ because of applying to 2D-FFT. These ambiguities should be decided by position of land, wind direction or numerical model. Previously, we converted into sigma nought after extracting Digital Number from RadarSat-1 SAR using ENVI4.0, thus, it took a long time because every process was manual. Therefore, we converted sigma nought by matlab code after making matlab code. After that, we are extracting wind direction from sigma nought. Now, to decide wind direction needs further study because wind direction has $180^{\circ}$ ambiguity.

• Journal of the Korean Institute of Landscape Architecture
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• v.15 no.1
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• pp.17-37
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• 1987

The purpose of this study is to establish more rational and practical planning theory for amusement park. It analyze and consider the fluctuation of people who come and use the Tong-Ch'on amusement park. The results drawn from this reserch work are as follows; 1. The main visitors of the Tong-Ch'on amusement park are students in their twenties and thirties, and people whose incomes are below 300,000 Won a month. The purpose of visit is for a rest rather than for amusement and user prefer summer, while the user is so rare in wintertime. Those phenomena observed are somewhat different from the real purpose of a amusement park which is on purpose to make profits by offering entertainments to the users. So planner should pay attention to the three points. They are varieties, seasonable diversification and fantastic character of facilties, in the amusement park. 2. The access time of the Tong-Ch'on amusement park was 41 minutes, the use frequency was 4 times a year and resident time was 164 minutes. The relationship of the three factors are as follows; log Y(F) =1.7832-0.0277(A.T) R$^2$=0.75 Y(R. F)=31.8885+3.3217(A.T) R$^2$=0.53 Y(R. T)=224.8959-87.8309 1og(F) R$^2$=0.38 F;Use frequency(time/year) A.T;Access Time(minute) R.T;Resident Time(minute) 3. In the choice of space, there were much differences according to tole user's age, job, degree of education, companion type and purpose of use. 4. There are considerable correlation between use fluctuation and some factors. The factors are season(summer, winter) as a time, temperature, cloud amount, duration of sunshine, weather(rainy-day) as a climate and a day of the week(weekday, holiday) as a social system. The important variables are temperature, cloud amount, duration of sunshine and a day of the week(weekday, holiday) to estimate the user of amusementpark. 5. 1 can reduce the following two types of regression models. 1) log$\sub$e/ Y1 = 6.9114 + 0.l135 TEM + 0.00002 SUN -0.4068W1 + 0.4316 W3 (R$^2$= 0.94) 2) log$\sub$e/ Y2 = 7.2069 + 0.l177 TEM - 0.0990 CLO + 0.4880 W3 (R$^2$=0.95) Y; Number of User TEM; Temperature CLO; Amount of cloud SUN; Duration of Sunshine W1; Weekday W3; Holiday Those model is in order to estimate the user for management of Tong-Ch'on amusement park and use on the computation of facility sloe for reconstruction. Besides the amusement park, city park and outdoor recreation area could estimate of user through this method. But, I am not sure about the regression models because I did not apply the regression models to the other amusement park, city Park or outdoor recreation area. Therefore, I think that this problem needs to be studied on in the future.

• Journal of the Korean Institute of Landscape Architecture
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• v.37 no.1
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• pp.87-99
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• 2009

This research is an introductory study that hopes to interpret the cultural scenic landscape by analyzing Korea's mountains, streams, topography, color, light, human behavior, and more based on real landscape paintings. It places its purpose on understanding our intrinsic cultural scenic landscape by investigating the changed topography and the differing life patterns caused bythe active national land development after the modern era. With Seoul, which is now difficult to find images of its past, and the surrounding areas of the Han riverbed, the interpretation related to its original topography, landscape, climate, weather, and human behaviors was observed while the main focus was placed on the climate of the perception held by people regarding Mt. Geumgang and other ranges which are not fully opened to the public yet. In order to comprehensively analyze the figures of features and appearing landscapes including color, light, and more, it was described through the concept called climate. Hereupon, the real landscape paintings by Gyunjae(Jeong-Seon), mainly bearing features of existing Korean mountains, wereutilized as visual historical material. However, not having all his works, other pieces with representative characteristics were utilized such as "Gyeong-Gyo-Myeong-Seung-Chup(a painting with picturesque sceneries around old Seoul)" and "Hae-Ak-Jeon-Shin-Chup(a landscape painting including even the spirits of the seas and mountains)" which contain the regions' distinct scenery. As a result, the old cultural scenic landscapes of Korea are regarded as containing diverse mountains and where the conceptions of the treatment of mountains were reflected.

• Journal of Plant Biotechnology
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• v.43 no.1
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• pp.21-29
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• 2016

Remote Sensing (RS) is a technique to obtain necessary information in a non-contact and non-destructive method by using various sensors on the surface, water or atmospheric phenomena. These techniques combine elements such as sensors, and platform and information communication technology (ICT) for mounting the sensor. ICT has contributed significantly to the success of smart agriculture through quantification and measurement of environmental factors and information such as weather, crop and soil management to distribution and consumption stage, as well as the production stage by the cloud computer. Remote sensing techniques, including non-destructive non-contact bioimaging (remote imaging) is required to measure the plant function. In addition, bioimaging study in plant science is performed at the gene, cellular and individual plant level. Recently, bioimaging technology is considered the latest phenomics that identifies the relationship between the genotype and environment for distinguishing phenotypes. In this review, trends in remote sensing in plants, plants diagnostics and response to environment and status of plants phonemics research were presented.

• Corrosion Science and Technology
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• v.10 no.4
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• pp.109-117
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• 2011

The Korean Peninsula is located in the middle latitude of the northern hemisphere and has a clear 4-seasons and shows the typical temperate climate. Because of seasonal winds, it is cold and dry by a northwestern wind in the winter and it is hot and humid by a southeast wind in the summer. Also, temperature difference between the winter and the summer is large and it shows a rainy season from June to July but recently this regular trend may be greatly changed by an unusual weather phenomena. Since the Peninsula is east high west low type, the climate is complicated too. Because these geographical and climate characteristics can affect the properties of corrosion of metals and alloys, a systematic research on atmospheric corrosion in the Peninsula is required to understand and control the corrosion behavior of the industrial facilities. This paper analyzed the atmospheric corrosion factors for several environments in the Korean Peninsula and categorized the corrosivity of atmospheric corrosion of metals and alloys on the base of the related ISO standards. Annual pH values of rain showed the range of 4.5~5.5 in Korean Peninsula from 1999 to 2009 and coastal area showed relatively the low pH's rain. Annual $SO_2$ concentrations is reduced with time and its concentrations of every major cities were below the air quality standard, but $NO_2$concentration revealed a steady state and its concentration of Seoul has been over air quality standard. In 2007, $SO_2$classes of each sites were in $P_0{\sim}P_1$, and chloride classes were in $S_0{\sim}S_1$, and TOW classes were in ${\tau}_3{\sim}{\tau}_4$.That is, $SO_2$ and chloride classes were low but TOW class was high in Korean Peninsula. On the base of these environmental classes, corrosivity of carbon steel, zinc, copper, aluminium can be calculated that carbon steel was in C2-C3 classes and it was classified as low-medium, and zinc, copper, and aluminium showed C3 class and it was classified as medium.

• Journal of The Korean Association For Science Education
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• v.18 no.4
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• pp.517-523
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• 1998

It has been an important task that the decreased quantities of science lessons must blend with the 7th science curriculum. This study analysed the 6th and 7th science curriculum contents, and found the perspective and the problems in relation to the decreased lessons in the 7th science curriculum. The results found in the analysis of the science content system in the curriculum are as follows: first, the new science themes in the 7th content system were those appeared in the sub-themes in the 6th curriculum, so substantially scientific concepts didn't increase in the 7th. Second, the number of the terms which restricts the conceptual and contextual region of the major science themes considerably increased in the 7th curriculum. Third, Surface Lesson Quantities(SLQ), which were defined as the counted lesson number considering the quantities of science themes and the lesson decreasing rate 30% of the whole school curriculum, were inferred as 38.5% of the 6th lesson quantities. And the results found in the analysis of the sub-themes inferred from the sentences describing the science themes in each grade are as follows: Essential Lesson Quantities (ELQ), which were defined based on the sub-themes, were more than SLQ in almost themes. But, in case of the themes, 'weather' and 'ground', SLQ were much more than ELQ. The results of this study shows that it will not easy to solve the task, the decreasing lessons and phenomena-centered approach in constructing the science teaching content according to the 7th science curriculum.

• 한국지구과학회:학술대회논문집
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• 2005.02a
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• pp.203-212
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• 2005

The purpose of this study was to develop e-learning contents and to examine how ICT-powered instruction using the developed e-learning contents affects the science achievements of students and how the students respond to that. After an experiment in the 7th class of the weather condition unit in high school earth science, e-learning contents were prepared by using the videotaped material and flash animation to teach key learning points. The selected two different classes, experimental and control groups, shows almost the same final scores in the first semester. The experimental group received ICT-powered instruction with the contents developed in the study, and the control group received a typical expository lesson. And then the achievement test was done to these two groups, separately. The major findings of the study were as follows: As for the effects of ICT-powered instruction on the academic achievement, the average scores of the experimental group is higher than that of the control group, but the difference is insignificant. When each group was subdivided into the upper and lower groups, the upper group got higher average scores and the difference was significant. But there was no significant disparity between the lower groups. Therefore, the ICT-powered instruction using the e-learning contents gives a good effect on the students whose levels are higher than the average. In the questionaike about the ICT instruction, they generally had a positive opinion about its impact on learning interest and class participation and its learning effects.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.6
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• pp.701-707
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• 2021

In this study, we examined the sea surface temperature (SST), air temperature (AT), and their time lag in response to an extreme cold wave in 2018 and a weak cold wave in 2019, cross-correlating these to the northern wind direction frequency. The data used in this study include SST observations of seven ocean buoys Real-time Information System for Aquaculture Environment provided by the National Institute of Fisheries Science and automatic weather station AT near them recorded every hour; null data was interpolated. A finite impulse response filter was used to identify the appropriate data period. In the extreme cold wave in 2018, the seven locations indicated low SST caused by moving cold air through the northern wind direction. A warm cold wave in 2019, the locations showed that the AT data was similar to the normal AT data, but the SST data did not change notably. During the extreme cold wave of 2018, data showed a high correlation coefficient of about 0.7 and a time lag of about 14 hours between AT and SST; during the weak cold wave of 2019, the correlation coefficient was 0.44-0.67 and time lag about 20 hours between AT and SST. This research will contribute to rapid response to such climate phenomena while minimizing aquaculture damage.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.1
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• pp.165-174
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• 2019

As a nonstationarity is observed in hydrological data, various studies on nonstationary frequency analysis for hydraulic structure design have been actively conducted. Although the inherent diversity in the atmosphere-ocean system is known to be related to the nonstationary phenomena, a nonstationary frequency analysis is generally performed based on the linear trend. In this study, a nonstationary frequency analysis was performed using climate indices as covariates to consider the climate variability and the long-term trend of the extreme rainfall. For 11 weather stations where the trend was detected, the long-term trend within the annual maximum rainfall data was extracted using the ensemble empirical mode decomposition. Then the correlation between the extracted data and various climate indices was analyzed. As a result, autumn-averaged AMM, autumn-averaged AMO, and summer-averaged NINO4 in the previous year significantly influenced the long-term trend of the annual maximum rainfall data at almost all stations. The selected seasonal climate indices were applied to the generalized extreme value (GEV) model and the best model was selected using the AIC. Using the model diagnosis for the selected model and the nonstationary GEV model with the linear trend, we identified that the selected model could compensate the underestimation of the rainfall quantiles.