• Journal of the Korean Geographical Society
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• v.31 no.4
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• pp.639-647
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• 1996

Raclamaton of tidal flats has been practiced in Korea since the fifteenth century mainly for agiculatural porposes. The total area of reclaimed lands in 1994was estimated to be 400 k$m^2$ which corresponds to 2% of the national farm land. Recently, reclamation has been undertaken extensively, and such a huge projects as Samemankum Development will add over 401k$m^2$ by 2004. The impact of coastal reclamation on the environment is enormous. Most of them are presumably instrumental in causing local changes of coastal ecology. Reclamation is expected to be undertaken continuosly and adverse effects are expected. The authors ineended to identify the impacts of reclamation on the study area, to seek the causes of the environmental prolems of Shiwha-District Reclamation, and to analyze ite Environmental Impact Assessment to for environmentally sound sustained development.

• Journal of Korea Water Resources Association
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• v.39 no.2 s.163
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• pp.121-126
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• 2006

Snowmelt effect is identified from the analysis of the relationship between precipitation and groundwater level(GWL) data and Severe drawdown of GWL is observed in drought. Groundwater dam Operation Index (GOI), which is developed for the optimal operation of groundwater dam, is calculated by taking common logarithm of the moving average(MA) of precipitation data for a certain period. The period can vary from watershed to watershed because the period is decided by picking the maximum correlation coefficient between GWL and GOI of several MAs of precipitation. For Ssangchun watershed, the correlation was the strongest when we apply 70 day MA for GOI calculation. Snowmelt effect is considered by applying the temperature change by elevation($0.5^{\circ}C$ decrease per 100m) and examining the areal distribution of the watershed by elevation. Snow event is assumed when the daily average temperature is below $0^{\circ}C$ and snowmelt is assumed when the temperature is above zero degree Celsius. Total snowmelt is assumed for the day. When the snow event is occurred the precipitation data is separated into two components, snow and rainfall. The areal distribution by elevation is used for the calculation in the separation. The correlation between GWL and GOI is higher when we consider snowmelt effect than we neglected it.

• Korean Journal of Remote Sensing
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• v.33 no.3
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• pp.287-299
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• 2017

The Southern Volcanic Zone (SVZ) of Chile consists of many volcanoes, including the Mt.Villarrica and Mt.Llaima, and the two volcanoes are covered with snow at the top of Mountain. The purpose of this study is to analyze the relationship between the ice caps and the volcanic activity of the two volcanoes for 25 years by using the satellite image data are available in a time series. A total of 60 Landsat-5 TM and Landsat-7 ETM + data were used for the study from September 1986 to February 2011. Using NDSI (Normalized Difference Snow Index) algorithm and SRTM DEM, snow cover and snowline were extracted. Finally, the snow cover area, lower-snowline, and upper-snowline, which are quantitative indicators of snow cover change, were directly or indirectly affected by volcanic activity, were extracted from the satellite images. The results show that the volcanic activity of Villarrica volcano is more than 55% when the snow cover is less than 20 and the lower-snowline is 1,880 m in Llaima volcano. In addition, when the upper-snowline of the two volcanoes is below -170m, it can be confirmed that the volcano is differentiated with a probability of about 90%. Therefore, the changes in volcanic snowfall are closely correlated with volcanic activity, and it is possible to indirectly deduce volcanic activity by monitoring the snow.

• Korean Journal of Remote Sensing
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• v.35 no.2
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• pp.327-336
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• 2019

The caldera lake "Chun-ji" is located at the summit of Baekdu volcano, which is in the border of China and North Korea. Chun-ji Lake has altitude 2,189 m above sea level. The Chun-ji is freezing in the winter when the water temperature goes down to zero for a year, and it melts in the season when the water temperature goes up again. However,since it is located at a high altitude, there are many cloudy days, and it is difficult to observe with optical images. For this reason, radar images, which are less influenced by weather than optical images, are more effective for observing the ice of heaven and earth. In this study, 75 TerraSAR-X images from chun-ji area were used for analysis from 2015 to 2017, and the calculated ice area and temperature changes were analyzed. As a result, the ice of the caldera lake formed was formed in early December and slowly melted until mid-April. During this period, temperatures in the Samjiyeon area were about $-10^{\circ}C$ when ice was produced, and the temperature was about $0^{\circ}C$ in mid-April when it was thawing. Correlation coefficients between ice surface area and temperature in winter 2015 and 2016, where global ice is produced,show a high correlation of -0.82 and -0.75. In addition to the results of this study, it can be used as an indicator to monitor the volcanic activity by comparing the result of the recent volcanic activity with the result of the increase in water temperature using various imagery.

• Journal of Nutrition and Health
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• v.43 no.4
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• pp.374-381
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• 2010

This study was performed to examine the diet effect of green coffee bean extract on body fat reduction. Overweight/obese women (body mass index > $23\;kg/m^2$ or body fat > 27%) who were not diagnosed any type of disease were included in this study and subjects were randomly assigned to green coffee bean extract group (n = 23) or placebo group (n = 20). We measured anthropometric parameters, abdominal fat distribution by computed tomography and blood components before and after the 8-weeks intervention period. After supplementation, green coffee bean extract group showed a significant reduction of body weight (p < 0.01), body fat percent (p < 0.01), total fat area at L1 vertebra (-4.8%, p < 0.05) and visceral fat area at L4 vertebra was(-4.7%, p < 0.05). In addition, total fat area and visceral fat area at L1 vertebra decreased significantly in green coffee bean extract group compared with placebo group (p < 0.05, p < 0.05 respectively). The result of present study demonstrated that the supplementation of green coffee bean extract for 8 weeks can give beneficial effects on body fat reduction and visceral fat accumulation.

• Journal of the Mineralogical Society of Korea
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• v.22 no.4
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• pp.313-324
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• 2009

We explore the effect of particle shape and size on 3-dimensional (3D) network and pore structure of porous earth materials composed of glass beads and silica gel using NMR micro-imaging in order to gain better insights into relationship between structure and the corresponding hydrologic and seismological properties. The 3D micro-imaging data for the model porous networks show that the specific surface area, porosity, and permeability range from 2.5 to $9.6\;mm^2/mm^3$, from 0.21 to 0.38, and from 11.6 to 892.3 D (Darcy), respectively, which are typical values for unconsolidated sands. The relationships among specific surface area, porosity, and permeability of the porous media are relatively well explained with the Kozeny equation. Cube counting fractal dimension analysis shows that fractal dimension increases from ~2.5－2.6 to 3.0 with increasing specific surface area from 2.5 to $9.6\;mm^2/mm^3$, with the data also suggesting the effect of porosity. Specific surface area, porosity, permeability, and cube counting fractal dimension for the natural mongolian sandstone are $0.33\;mm^2/mm^3$, 0.017, 30.9 mD, and 1.59, respectively. The current results highlight that NMR micro-imaging, together with detailed statistical analyses can be useful to characterize 3D pore structures of various porous earth materials and be potentially effective in accounting for transport properties and seismic wave velocity and attenuation of diverse porous media in earth crust and interiors.

• Korean Journal of Remote Sensing
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• v.37 no.5_3
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• pp.1373-1387
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• 2021

Forest fire poses a significant threat to the environment and society, affecting carbon cycle and surface energy balance, and resulting in socioeconomic losses. Widely used multi-spectral satellite image-based approaches for burned area detection have a problem in that they do not work under cloudy conditions. Therefore, in this study, Sentinel-1 Synthetic Aperture Radar (SAR) data from Europe Space Agency, which can be collected in all weather conditions, were used to identify forest fire damaged area based on a series of processes including Principal Component Analysis (PCA) and K-means clustering. Four forest fire cases, which occurred in Gangneung·Donghae and Goseong·Sokcho in Gangwon-do of South Korea and two areas in North Korea on April 4, 2019, were examined. The estimated burned areas were evaluated using fire reference data provided by the National Institute of Forest Science (NIFOS) for two forest fire cases in South Korea, and differenced normalized burn ratio (dNBR) for all four cases. The average accuracy using the NIFOS reference data was 86% for the Gangneung·Donghae and Goseong·Sokcho fires. Evaluation using dNBR showed an average accuracy of 84% for all four forest fire cases. It was also confirmed that the stronger the burned intensity, the higher detection the accuracy, and vice versa. Given the advantage of SAR remote sensing, the proposed statistical processing and K-means clustering-based approach can be used to quickly identify forest fire damaged area across the Korean Peninsula, where a cloud cover rate is high and small-scale forest fires frequently occur.

• 한국신재생에너지학회:학술대회논문집
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• 2011.05a
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• pp.208.1-208.1
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• 2011

우리나라 전국의 사찰수는 약 22,000개로 추정되며, e-나라지표에 의하면 사찰 역사가 오래되거나 전통 양식의 건축물과 문화재 등을 간직한 사찰로 문화체육관광부가 지정하는 전통사찰은 2010년 3월말 현재 전체의 4.2%인 935개로 알려져 있다. 대도시에 위치한 사찰을 제외하면 일반적으로 사찰은 계곡에 위치하여 인근에 하천이 있으며, 유역이 작아 유량은 적으나 경사가 심해 낙차를 크게 얻을 수 있다. 또한 설계제원이 비슷한 전통사찰들을 그룹핑하고 소수력발전시스템을 Kit형태로 표준화하여 개발한다면 초기투자비를 저감할 수 있는 장점도 있다. 따라서 본 연구에서는 전통사찰에 소수력발전의 적용가능성을 타진하기 위하여 유역면적이 $49.71km^2$인 사찰 1지점을 선정하여 인근의 하천을 이용한 소수력발전 성능특성을 분석하였다. 분석결과 단위 유효낙차당 설비용량은 약 9.3kW, 연간전기생산량은 약 28,602kWh로 산정되었으며, 낙차가 커질수록 설비규모와 연간전기생산량은 비례하여 증가될 것으로 추정된다. 부존자원이 부족하여 에너지해외의존도가 97%가 넘는 현실을 감안할때 전통사찰에 대한 타당성 조사를 통해 소수력발전을 적용함으로서 사찰에서 사용되는 전기에너지의 절약과 친환경 재생에너지의 활용을 확대해 나가는 것이 바람직 할 것으로 사료된다.

• Journal of Biosystems Engineering
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• v.36 no.5
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• pp.348-354
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• 2011

Various crop spacing methods have been implemented so far for the greenhouse and plant factory applications. However, there is no generally accepted parameter for evaluation of plant spacing efficiency in plant production system. In this study, 'Planted Area Index' (PAI) of a spacing method is defined as the ratio of the planted area in the field to required planted area using the spacing method when no transplanting operation is assumed. Three common types of spacing methods for plane placement of the plants were modeled mathematically. For calculating the planted area, an optimal growth radius function (R(t)) is needed. Function of the days after transplanting stage gives a radius of an optimal circle area for the living plants. A computer simulation was developed to calculate the PAI, based on three crop spacing methods and four optimal growth radius functions. In general, the 1-D zigzag spacing showed the best PAI. Moreover, it gives an example on how to apply the PAI for the design.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.2254-2257
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• 2008

홍수와 가뭄, 수질오염 등의 피해에 대한 대책과 보다 효율적인 수자원 관리를 위해서 원자료에 대한 분석이 선행되어야 한다. 따라서 본 연구에서는 나주지점을 대상으로 하여 총유기탄소(Total Organic Carbon: TOC) 자료와 유출량 자료를 수집하였으며, 각 자료에 대하여 상세한 주기성분을 파악하기 위하여 웨이블렛 변환을 적용하였다. 대상지점으로 선정한 나주지점은 전라남도 나주시 나주대교 상류에 위치하고 있으며, 유역면적이 $2,0587.2km^2$이며, 유로 연장은 65.5km이다. 유출량과 수질자료의 주기성 분석을 위해 유기물의 양을 나타내는 수질지표인 TOC와 나주수위관측소에서 관측된 2003년${\sim}$2004년의 시수위자료를 유출량으로 환산한 값을 사용하였으며, 이 자료의 상세한 주기성 파악을 위해 웨이블렛 변환을 사용하였다. 일반적으로 주기성을 파악하기 위하여 푸리에 변환을 사용하지만, 푸리에 변환은 시간정보와 주파수를 동시에 파악할 수 없을 뿐만 아니라, 자료에 불연속성과 고주파수 성분이 포함될 경우 분석이 난이하다. 이러한 푸리에 변환의 단점을 보안한 것이 웨이블렛 변환이며, 푸리에 변환보다 계산속도가 빠르다. 또한 주어진 자료에 대하여 시간과 주파수 영역에서 동시에 파악하는 것이 가능하며, 불규칙한 자료를 평탄하게 함으로서 보다 상세한 주기성을 찾아낼 수 있다. 따라서 본 연구에서 추출한 각 자료의 상세 주기성분들은 향후 수자원 관리를 위한 기초자료로 활용될 수 있을 것으로 기대된다.