• KOREAN JOURNAL OF CROP SCIENCE
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• v.25 no.3
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• pp.59-62
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• 1980

An artificial lodging was made at various growth stages of the rape varieties Yongdang and Mokpo 29 to evaluate its effect on seed yield and other important agronomic characters. Results showed general increases in plant height and number of branches per plant whereas reductions in 1.000 grain weight, number of pods and seeds per plant in the severly lodged plots. As compared to control of lodging, about 29 percent yeild reduction was caused by the severe lodging treatment. Further more, the most severe lodging before blooming resulted in about 60% yield losses.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.402-402
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• 2011

식생의 성장은 수문순환과 밀접히 연관되어 있으며 특히 강수량은 식생의 연간변동성의 주된 요인이다. 하지만 국내의 경우 이러한 식생과 강수량과의 관계를 알아보기 위한 정량적인 접근은 시도되지 않은 실정이다. 순일차생산량(NPP)은 광합성으로부터 생성된 유기물질에서 성장에 필요한 호흡량을 뺀 것이며, 이는 식생량을 산정할 때 주로 이용된다. 본 연구에서는 우리나라 전역의 50 지역의 5년간의 NPP와 연강수량이 분석에 사용되었다. 비록 자료기간이 관계를 정립하기에는 다소 부족하며 NPP자료 자체의 불확실성이 내포되어 있지만 각 지점별 NPP와 강수량과의 상관성이 매우 높은 지역들이 있는 것으로( ��0.6) 나타났다. 하지만 모든 지역의 자료를 동시에 고려하였을 경우에는 결정계수가 크게 감소하였다($R^2$=0.310). 추가적으로 강우이용효율과 연강수량의 관계를 분석하였으나 결정계수가 0.022로 기존의 문헌과는 달리 이들 사이에 뚜렷한 관계가 나타나지는 않았다. 본 연구를 통하여 확인된 사실은 우리나라의 식생과 강수량 관계에서는 우리나라 전역을 전반적으로 설명할 수 있는 일반적인 선형 관계를 찾기는 힘들다는 것이며, 다만 지역별로 살펴볼 경우 식생-강수량 관계가 비교적 잘 맞는 지역들이 다수 존재한다는 것이다. 따라서 우리나라를 대상으로 한 생태적요소가 고려된 수문모형을 개발할 경우 지역적 특성들이 모형 구조에 반영되어야 할 것이다.

• Korean Journal of Construction Engineering and Management
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• v.8 no.4
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• pp.119-127
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• 2007

Cost and Schedule is the most important information, and how efficiently manage this information is the key issue for Construction Project Management. Domestically, systematic scheduling method such as CPM network is not only used widely but integration of time and cost information also is. In order to effectively integrate and use the time and cost information, it is suggested that WBS(Work Breakdown Structure) based QDB(Quantity Database) should be generated from the design phase and, WBS and QDB related system tool should be supported. It could be helpful to relate and integrate other construction project information.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.46 no.3
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• pp.241-247
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• 2001

Boundary line method was adopted to analyze the relationships between rice yield and meteorological conditions during rice growing period. Boundary lines of yield responses to mean temperature($T_a$) and sunshine hour( $S_{h}$) and diurnal temperature range($T_r$) were well-fitted to hyperbolic functions of f($T_a$) =$$\beta$_{0t}$(1-EXP(-$$\beta$_{1t}$ $\times$ ($T_a$) ) and f( $S_{h}$)=$$\beta$_{0t}$((1-EXP($$\beta$_{1t}$$\times$ $S_{h}$)), to quadratic function of f($T_r$) =$\beta$$_{0r}$(1-($T_r$ 1r)$^2$), respectively. to take into account to, the sterility caused by low temperature during reproductive stage, cooling degree days [$T_c$ =$\Sigma$(20-$T_a$] for 30 days before heading were calculated. Boundary lines of yield responses to $T_c$ were fitted well to exponential function of f($T_c$) )=$\beta$$_{0c}$exp(-$$\beta$_{1c}$$\times$$T_c$ ). Excluding the constants of $\beta$$_{0s}$ from the boundary line functions, formed are the relative function values in the range of 0 to 1. And these were used as yield indices of the meteorological elements which indicate the degree of influence on rice yield. Assuming that the meteorological elements act multiplicatively and independently from each other, meteorological yield index (MIY) was calculated by the geometric mean of indices for each meteorological elements. MIY in each growth period showed good linear relationship with rice yield. The MIY's during 31 to 45 days after transplanting(DAT) in vegetative stage, during 30 to 16 days before heading (DBH) in reproductive stage and during 20 days after heading (DAH) in ripening stage showed greater explainablity for yield variation in each growth stage. MIY for the whole growth period was calculated by the following three methods of geometric mean of the indices for vegetative stage (MIVG), reproductive stage (HIRG) and ripening stage (HIRS). MI $Y_{I}$ was calculated by the geometric mean of meteorological indices showing the highest determination coefficient n each growth stage of rice. That is, (equation omitted) was calculated by the geometric mean of all the MIY's for all the growth periods devided into 15 to 20 days intervals from transplanting to 40 DAH. MI $Y_{III}$ was calculated by the geometric mean of MIY's for 45 days of vegetative stage (MIV $G_{0-45}$ ), 30 days of reproductive stage (MIR $G_{30-0}$) and 40 days of ripening stage (MIR $S_{0-40}$). MI $Y_{I}$, MI $Y_{II}$ and MI $Y_{III}$ showed good linear relationships with grain yield, the coefficients of determination being 0.651, 0.670 and 0.613, respectively.and 0.613, respectively.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.4
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• pp.317-324
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• 2015

GNSS was firstly proposed for application in weather forecasting in the mid-1980s. It has continued to demonstrate the practical uses in GNSS meteorology, and other relevant researches are currently being conducted. Precipitable Water Vapor (PWV), calculated based on the GNSS signal delays due to the troposphere of the Earth, represents the amount of the water vapor in the atmosphere, and it is therefore widely used in the analysis of various weather phenomena such as monitoring of weather conditions and climate change detection. In this study we calculated the PWV through the meteorological information from an Automatic Weather Station (AWS) as well as GNSS data processing of a Continuously Operating Reference Station (CORS) in order to analyze the heavy snowfall of the Ulsan area in early 2014. Song’s model was adopted for the weighted mean temperature model (T_m), which is the most important parameter in the calculation of PWV. The study period is a total of 56 days (February 2013 and 2014). The average PWV of February 2014 was determined to be 11.29 mm, which is 11.34% lower than that of the heavy snowfall period. The average PWV of February 2013 was determined to be 10.34 mm, which is 8.41% lower than that of not the heavy snowfall period. In addition, certain meteorological factors obtained from AWS were compared as well, resulting in a very low correlation of 0.29 with the saturated vapor pressure calculated using the empirical formula of Magnus. The behavioral pattern of PWV has a tendency to change depending on the precipitation type, specifically, snow or rain. It was identified that the PWV showed a sudden increase and a subsequent rapid drop about 6.5 hours before precipitation. It can be concluded that the pattern analysis of GNSS PWV is an effective method to analyze the precursor phenomenon of precipitation.

• Korean Journal of Remote Sensing
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• v.28 no.5
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• pp.509-520
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• 2012

The objective of this study was to estimate rice yield in Korea using satellite and meteorological data such as sunshine hours or solar radiation, and rainfall. Terra and Aqua MODIS (The MOderate Resolution Imaging Spectroradiometer) products; MOD13 and MYD13 for NDVI and EVI, MOD15 and MYD15 for LAI, respectively from a NASA web site were used. Relations of NDVI, EVI, and LAI obtained in July and August from 2000 to 2011 with rice yield were investigated to find informative days for rice yield estimation. Weather data of rainfall and sunshine hours (climate data 1) or solar radiation (climate data 2) were selected to correlate rice yield. Aqua NDVI at DOY 233 was chosen to represent maximum vegetative growth of rice canopy. Sunshine hours and solar radiation during rice ripening stage were selected to represent climate condition. Multiple regression based on MODIS NDVI and sunshine hours or solar radiation were conducted to estimate rice yields in Korea. The results showed rice yield of $494.6kg\;10a^{-1}$ and $509.7kg\;10a^{-1}$ in 2011, respectively and the difference from statistics were $1.1kg\;10a^{-1}$ and $14.1kg\;10a^{-1}$, respectively. Rice yield distributions from 2002 to 2011 were presented to show spatial variability in the country.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.35 no.6
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• pp.532-538
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• 1990

This experiment was carried out to establish the efficiency of crop breeding on comparison of combination methods of single, 3-way, and double crosses and combination order of 4 winter wheat which were different in origin, source, and plant types, On comparison of 4 crossing modes, there appeared the earliest heading and the highest grain yield in double cross, and decreased in 3-way. single crosses. and parents in order, There showed the significant mean squares of GCA and SCA in 4${\times}$4 diallel analysis for grain yield and yield components. Grumil and Bezostaya 1 exhibited highest GCA effect of grain yield which appeared the actual highest grain yield. There appeared the highest SCA-effect in F$_1$ (Eunpamil/Bezostaya 1) showing 4.22. Of the 3 double crosses there exhibited the highest grain yield in F$_1$ (Grumil/Eunpamil/ /Lanota/Bezostaya 1). Two single crosses for this double cross ---F$_1$ (Grumil/Eunpamil) and F$_1$ (Lancota/Bezostaya 1) --- do not revealed directly for this yield, but combined each other by chromosome switch as combination of F$_1$ (Grumil/Lancota), F$_1$(Grumil/Bezostaya 1), F$_1$(Eunpamil/Lancota) and F$_1$(Eunpamil/Bezostaya 1) which appeared the higher grain yields and SCA-effects. Of the six 3-way crosses. F$_1$ (Lancota/Bezostaya 1/ /Eunpamil) expressed the highest grain yield. Its combinations were F$_1$ (Lancota/Eunpamil) and F$_1$ (Bezostaya 1/Eunpamil) combined by chromosome switch, which its grain yield and SCA-effect were higher.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.4
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• pp.233-242
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• 2019

ZHD (Zenith Hydrostatic Delay) model is important parameter in estimating of GNSS (Global Navigation Satellite System) PWV (Precipitable Water Vapor) along with weighted mean temperature. The ZWD (Zenith Wet Delay) is tend to accumulate the ZHD error, so that biases from ZHD will be affected on the precision of GNSS PWV. In this paper, we compared the accuracy of GNSS PWV with radiosonde PWV using three ZHD models, such as Saastamoinen, Hopfield, and Black. Also, we adopted the KWMT (Korean Weighted Mean Temperature) model and the mean temperature which was observed by radiosonde on the retrieval processing of GNSS PWV. To this end, GNSS observation data during one year were processed to produce PWVs from a total of 5 GNSS permanent stations in Korea, and the GNSS PWVs were compared with radiosonde PWVs for the evaluating of biases. The PWV biases using mean temperature estimated by the KWMT model are smaller than radiosonde mean temperature. Also, we could confirm the result that the Saastamoinen ZHD which is most used in the GNSS meteorology is not valid in South Korea, because it cannot be exclude the possibility of biases by latitude or height of GNSS station.

• Korean Journal of Remote Sensing
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• v.32 no.3
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• pp.263-274
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• 2016

In this study, we compared the Precipitable Water Vapor (PWV) data derived from the radiosonde observation at Sokcho observatory and the PWV data at Sokcho Global Navigation Satellite System (GNSS) observatory provided by Korea Astronomy and Space Science Institute, for the summer of 2007~2014, and analyzed the radiosonde diurnal and rainfall-dependent bias according to radiosonde sensor types. In the scatter diagram of the daytime and nighttime radiosonde PWV data and GNSS PWV data, dry bias was found in the daytime radiosonde observation as known in the previous study and dry bias of RSG-20A sensor was larger than other sensors. Overall, the tendency that the wet bias of the radiosonde PWV increased as GNSS PWV decreased and the dry bias of the radiosonde PWV increased as GNSS PWV increased. The quantitative analysis of the bias and error of the radiosonde PWV data showed that the mean bias decreased in the nighttime except for 2007, 2008 summer. In comparison for summer according to the presence or absence of rainfall, RS92-SGP sensor showed the highest quality.

• Science of Emotion and Sensibility
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• v.18 no.2
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• pp.3-18
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• 2015

Numerosity perception is considered as an innate ability of human being where its sensivitiy may widely vary across each individual person. The present study explored the relationship between visual working memory (VWM), visual search efficiency, and numerosity sensitivity. To accomplish this, we calculated each participant's K-value from change detection performance representing one's storage capacity in VWM, slopes of search RTs representing the search efficiency, and discrimination sensitivity for a quantity difference across two sets of dot arrays representing the numerosity sensitivity. The correlational analysis across the measurements revealed that participants with a high VWM capacity better discriminated the numerosity difference in the arrays when the spatial information in the two dot arrays was preserved. In contrast, the participants with high search efficiency discriminated better the difference in the arrays when the spatial information in the arrays was not preserved. The results indicate high VWM-capacity individuals were presumably able to use a strategy of storing the dot arrays by grouping them into a smaller pattern of dot arrays while high search-efficiency individuals were able to use a strategy of rapidly switching their focused attention across the dots in the arrays to count each individual dot. These in sum suggest that individual differences in numerosity sensitivity rely on one's working memory capacity as well as their efficient use of switching focused attention.