• Journal of the Korean Wood Science and Technology
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• v.45 no.1
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• pp.36-42
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• 2017

This research was performed to evaluate the level of exposure of buildings to rain in Korea. The impingement of driving rain by wind is evaluated by driving rain index (DRI). Average annual driving rain indexes (AADRI) for 64 stations spread all over Korea have been determined by using the data of wind speed and precipitation obtained from Korea Meteorological Adminstration (KMA). Based on the values, the regions has been classified as low, moderate, and high. No high exposure regions were found in Korea; 22 regions with moderate exposure and 42 regions with low exposure. Although the values are very dependent on climate change, most of Korea except several regions such as Daegwallyeong, Busan, Yeosu, and Jeju island may be evaluated to be the region where exposure of buildings to driving rain is low to moderate.

• Journal of Animal Science and Technology
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• v.53 no.2
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• pp.99-106
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• 2011

This study estimated the genetic parameters of growth-related traits from 11-month-old olive flounder (Paralichthys olivaceus) base population in which wild and cultured broodstocks were introduced. The heritability of body weight, total length, body height, body shape, and condition factor of the base population was estimated to be 0.754, 0.753, 0.789, 0.438, and 0.369, respectively. Genetic correlations between body weight and total length, between body weight and body height, and between total length and body height were 0.969, 0.960, and 0.960, respectively, showing highly positive correlation. Genetic correlations between body weight and body shape, between total length and body shape, between body height and body shape were -0.403, -0.344, and -0593, respectively, showing low negative correlation. Overall, olive flounder might be an appropriate selective breeding species with the high heritability of the traits in an 11-month-old population.

• Journal of Environmental Policy
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• v.10 no.1
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• pp.151-173
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• 2011

Whenever several natural disasters hit Korea with huge damage of property loss and death toll, government spends huge sums of money for rehabilitation of devastated areas every year. It's time to discuss about a natural disaster insurance, which is a long-term as well as precautionary measure. It is advisable to discuss government involvement through the natural disaster insurance, implementation of countermeasures against natural disasters. The natural disasters insurance have to executed as follows, 1) introducing natural disaster insurance with characteristics of social welfare, which makes fast recovery and anxiety reduction in the low-income bracket. 2) advisable to mix the methods of microinsurance including the natural disaster and index insurance.

• Proceedings of the Korea Water Resources Association Conference
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• 2004.05b
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• pp.1223-1227
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• 2004

강수량의 대부분이 여름철에 집중적으로 내리는 우리나라의 경우 경제기반에 필요한 용수 확보를 위한 댐 수위 조절 등의 수자원 관리를 위해서는 강수량의 장기예측이 매우 중요하다. 그러나 장기예측에 앞서 강수량의 기후 특성 분석은 예측을 위한 기반 자료로서 필요하다. 따라서 한반도 기상 관측소 자료로부터 1954년부터 2002년 49년동안 한강과 낙동강 유역의 유역평균 월강수량의 기후특성을 분석하였다. 유역평균 월강수량은 Thiessen 가중법을 사용하여 산출되었으며, 4월 유역평균 강수량은 감소 경향이 뚜렷하고, 8월 유역평균 강수량은 증가 경향이 매우 뚜렷하였다. 또한 두 유역에 있어서 1970년 중반에 유역평균 월강수량의 변동에 변화가 나타났다. NINO3 지수와 한강과 낙동강 유역평균 월강수량 편차와의 동시상관관계에서 유역평균 9월 강수량은 NINO3 지수와 지속적인 음의 상관을 보였고, 11월 유역평균 강수량과는 양의 상관이 크게 나타났다. 우기 동안 한강 유역평균 월강수량의 극한 사상의 종관 특성 분석을 위한 합성도에서 다우해(above normal year)인 경우에는 주로 대륙에 1000 hPa 고도의 음의 편차, 해양에 양의 편차의 중심이 놓여 있어 다우 시기는 북태평양 고기압의 강화와 관련됨을 알 수 있었다. 또한 8월 유역평균 강수량은 한반도 상공의 제트 강화와 관련되어 있었으며, 9월 유역평균 강수량의 경우에는 제트 출구의 북쪽에서의 양의 편차, 남쪽에서의 음의 편차 및 하층 바람장의 수렴과 관련되어 나타났다.

• Journal of the Korean Data and Information Science Society
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• v.28 no.2
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• pp.309-316
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• 2017

In baseball, estimation of winning percentage is critical and many studies for this topic have been actively performed. Pairwise winning percentage estimation using Pythagorean winning percentages of individual teams against other individual teams has the property that the sum of estimated winning percentage totals must be a constant. In this paper, we consider two types of pairwise estimation including linear formula and Pythagorean formula to the Korean baseball data of seasons from 2013 to 2016 under the criterions of RMSE and MAD. In conclusion, pairwise Pythagorean methods have the smaller RMSE and MAD than traditional Pythagorean methods. We suggest the optimal pairwise Pythagorean formula with a fixed exponent. Also we show that there are very little differences of RMSE and MAD between variation in exponent values.

• Journal of the Korean Data and Information Science Society
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• v.25 no.3
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• pp.493-499
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• 2014

The Pythagorean won-loss formula postulated by James (1980) indicates the percentage of games as a function of runs scored and runs allowed. Several hundred articles have explored variations which improve RMSE by original formula and their fit to empirical data. This paper considers a variation on the formula which allows for variation of the Pythagorean exponent. We provide the most suitable optimal exponent in the Pythagorean method. We compare it with other methods, such as the Pythagenport by Davenport and Woolner, and the Pythagenpat by Smyth and Patriot. Finally, our results suggest that proposed method is superior to other tractable alternatives under criterion of RMSE.

• Korean Journal of Agricultural and Forest Meteorology
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• v.17 no.4
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• pp.384-398
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• 2015

In this paper, the high-resolution Weather Research and Forecasting/Noah-MultiParameterization (WRF/Noah-MP) modeling system is configured for the Cheongmicheon Farmland site in Korea (CFK), and its performance in land and atmospheric simulation is evaluated using the observed data at CFK during the 2014 special observation period (21 August-10 September). In order to explore the usefulness of turning on Noah-MP dynamic vegetation in midterm simulations of surface and atmospheric variables, two numerical experiments are conducted without dynamic vegetation and with dynamic vegetation (referred to as CTL and DVG experiments, respectively). The main results are as following. 1) CTL showed a tendency of overestimating daytime net shortwave radiation, thereby surface heat fluxes and Bowen ratio. The CTL experiment showed reasonable magnitudes and timing of air temperature at 2 m and 10 m; especially the small error in simulating minimum air temperature showed high potential for predicting frost and leaf wetness duration. The CTL experiment overestimated 10-m wind and precipitation, but the beginning and ending time of precipitation were well captured. 2) When the dynamic vegetation was turned on, the WRF/Noah-MP system showed more realistic values of leaf area index (LAI), net shortwave radiation, surface heat fluxes, Bowen ratio, air temperature, wind and precipitation. The DVG experiment, where LAI is a prognostic variable, produced larger LAI than CTL, and the larger LAI showed better agreement with the observed. The simulated Bowen ratio got closer to the observed ratio, indicating reasonable surface energy partition. The DVG experiment showed patterns similar to CTL, with differences for maximum air temperature. Both experiments showed faster rising of 10-m air temperature during the morning growth hours, presumably due to the rapid growth of daytime mixed layers in the Yonsei University (YSU) boundary layer scheme. The DVG experiment decreased errors in simulating 10-m wind and precipitation. 3) As horizontal resolution increases, the models did not show practical improvement in simulation performance for surface fluxes, air temperature, wind and precipitation, and required three-dimensional observation for more agricultural land spots as well as consistency in model topography and land cover data.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.23 no.4
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• pp.393-399
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• 2005

Since vegetations are near the wavelength range in 700nm and have absorbent as well as reflective wavelength ranges, there is a much difference in terms of its reflection rate. There are currently many researches on vegetation index being conducted in order to apply the remote-sensing technology to vegetations rising their characteristics of absorbent and reflective wavelength ranges. Normalized Difference Vegetation Index (NDVI) and Perpendicular Vegetation Index (PVI) have been most commonly used. It is usually the evaporation, carbon-dioxide consumption, and chlorophyll density that represent the activity of vegetation, but chlorophyll density is the most commonly used among them. Since the red wavelength range used to obtain the NDVI and PVI has a strong extinction of chlorophyll, it is also useful to test chlorophyll density. The NDVI, in particular, is used to identify the vegetation conditions summarily, and thus, is suitable for initiative researches. Nevertheless, since these vegetation index produce mixed information of the Vegetation vigor and vegetation cover, it is essential to monitor a wavelength range that is independent from redundancy of the Vegetation vigor and vegetation cover. Although many vegetation indices have evaluated both the vegetation vigor and Vegetation cover simultaneously, this research intends to emphasize the utility of separable evaluations of the Vegetation vigor and Vegetation Cover rate through an experiment with grasses. As a result of evaluating vegetation index using spectral reflectance, a separable evaluation of the vegetation vigor and cover has been found more useful.

• KDI Journal of Economic Policy
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• v.17 no.3
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• pp.3-54
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• 1995

외환(外換) 및 자본자유화(資本自由化)의 진전에 따라 환율(換率)의 변동폭이 커지면서 환율(換率)이 국제수지(國際收支)에 미치는 영향에 대한 관심이 높아지고 있다. 환율(換率)이 국제수지(國際收支)에 미치는 효과는 일차적으로 우리나라 수출입함수(輸出入函數)의 가격탄력성(價格彈力性)에 의해 결정되므로 정확한 탄성치(彈性値)를 추정하는 일은 이론적으로나 정책적으로 매우 중요한 의미를 갖는다. 본고에서는 우리나라 수입함수(輸入函數)의 소득(所得) 및 가격탄성치(價格彈性値) 추정에 있어서 사용 가능한 두가지의 가격지수(價格指數), 즉 수입단가(輸入單價)와 수입물가(輸入物價) 중 어느 것을 사용하는 것이 바람직한 것인지를 살펴보고 이중 이론적으로 우월한 지수를 이용하여 수입함수(輸入函數)의 소득(所得) 및 가격탄성치(價格彈性値)를 추정하고자 하였다. 분석으로부터 얻는 중요한 결론(結論)은, 우리나라의 경우 수입함수(輸入函數)의 분석에 있어서 수입단가(輸入單價)보다는 수입물가(輸入物價)를 이용하는 것이 더 적합하리라는 점이다. 이는 또한 우리나라 실질(實質)GNP의 추계에 있어서 현재의 수입단가(輸入單價) 이용방식에서 수입물가(輸入物價) 이용방식으로 편제방법을 바꾸는 것이 바람직하다는 것을 의미한다. 이같은 결론은 이론적, 실증적인 변에서 아래와 같은 네가지 이유에 근거한다. 먼저 이론적인 면에서는 첫째, 수입단가(輸入單價)가 물가지수(物價指數)로서 갖추어야 할 통계적 일관성을 갖추지 못하고 있다는 점을 지적할 수 있다. 즉 수입단가(輸入單價)는 어느 일정 규격조건(規格條件)의 상품가격(商品價格)을 일관성 있게 추적하는 것이 아니므로 잡다한 품질규격의 평균가격(平均價格)으로 나타날 가능성이 높으며 이러한 변에서 가격변화(價格變化)를 정확히 반영하지 못한다. 둘째, 수입단가지수(輸入單價指數)는 가격변화(價格變化)가 전혀 없을 때에도 총수입(總輸入)의 품목별 구성(構成)이 바뀌면 변동하는 속성을 지니고 있어 가격변동(價格變動) 상황(狀況)을 오도할 가능성을 지니고 있다. 다음으로 실증적인 면에서는 첫째, 수입단가(輸入單價)를 이용한 수입함수(輸入函數)에서는 가격변수(價格變數)의 계수(係數)가 이론상 기대되는 것과는 반대되는 부호를 가짐으로써 수입함수(輸入函數))로서의 기본적인 요건을 만족시키지 못하는 것으로 나타나고 있다. 둘째, 단가지수(單價指數)를 이용한 경우 소득(所得)과 상대가격(相對價格)을 회귀변수로 하는 수입함수(輸入函數)에서 장기안정적인 균충관계(均衝關係)가 존재하지 않은 것으로 판명되었다. 반면 수입물가(輸入物價)를 이용한 수입함수(輸入函數)에서는 각 변수의 계수(係數)가 이론적 기대치에 부합하였으며 장기안정적인 균충관계(均衝關係)가 성립하는 것으로 나타나고 있다. 한편 미국에서는 수출입단가지수(輸出入單價指數)의 문제점에 대한 오랜 연구 결과, 1989년부터 단가지수(單價指數)의 편제를 아예 중단하는 조치를 취한 바 있으며, GNP추계에 있어서도 종래의 수출입단가(輸出入單價) 대신 수출입물가(輸出入物價)를 이용하는 방식으로 그 편제방법을 변경한 바 있다.

• Korean Journal of Remote Sensing
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• v.37 no.6_1
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• pp.1631-1645
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• 2021

This research aims to provide the characteristics of the world's first active lidar sensor Atmospheric Laser Doppler Instrument (ALADIN) wind data and Geostationary Korea Multi Purpose Satellite 2A (GK2A) Atmospheric Motion Vector (AMV) data by comparing two wind data. As a result of comparing the data from September 2019 to August 1, 2020, The total number of collocated data for the AMV (using IR channel) and Mie channel ALADIN data is 177,681 which gives the Root Mean Square Error (RMSE) of 3.73 m/s and the correlation coefficient is 0.98. For a more detailed analysis, Comparison result considering altitude and latitude, the Normalized Root Mean Squared Error (NRMSE) is 0.2-0.3 at most latitude bands. However, the upper and middle layers in the lower latitudes and the lower layer in the southern hemispheric are larger than 0.4 at specific latitudes. These results are the same for the water vapor channel and the visible channel regardless of the season, and the channel-specific and seasonal characteristics do not appear prominently. Furthermore, as a result of analyzing the distribution of clouds in the latitude band with a large difference between the two wind data, Cirrus or cumulus clouds, which can lower the accuracy of height assignment of AMV, are distributed more than at other latitude bands. Accordingly, it is suggested that ALADIN wind data in the southern hemisphere and low latitude band, where the error of the AMV is large, can have a positive effect on the numerical forecast model.