• Proceedings of the Korean Society of Crop Science Conference
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• 2000.04a
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• pp.102-103
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• 2000

• Proceedings of the Korean Society of Crop Science Conference
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• 2006.04a
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• pp.210-211
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• 2006

• Current Research on Agriculture and Life Sciences
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• v.3
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• pp.28-35
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• 1985

This work Was carried out to obtain the most suitable crop coefficient for the paddy rice growing in Taegu area. The result was due to the comparative measurements of evapotranspiration formula in terms of Blaney & Criddle and eight other formulas with those produced by experiment particularly in this area. The crop coefficient, evapotranspiration and transpiration ratio produced by this research are hopefully expected to be of service in the future calculation of evapotranspiration without repeating experiment respectively, whenever the water requirement of paddy rice is planned in Taegu and its vicinity. The accomplished results could be summarized as follows : The maximum amount of evapotranspiration was recorded in the early and middle parts of August. The average reading of evapotranspiration was 6.33mm/day throughout the growth. The evapotranspiration had a highly significant correlation with pan evaporation, solar radiation, sunshine hours and relative humidity of meteorological elements. K and Kc by the use of Blaney & Criddle formula calculated at 0.76 to 1.45 and 0.82 to 1.27, respectively. Its peak value appeared commonly in early August. The ratio of transpiration was 269.03.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.8 no.2
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• pp.151-158
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• 2010

In order to measure the deposition velocity of $I_2$ vapor for radish plants and its translocation factor for their roots, radish plants were exposed to $I_2$ vapor for 80 min. at different growth stages between 29 and 53 d after sowing. The exposure was performed in a transparent chamber during the morning time. Deposition velocities ($ms^{-1}$) were on the whole in the range of $1.0{\times}10^{-4}{\sim}2.0{\times}10^{-4}$ showing an increasing tendency with an increase in the biomass density. The results showed some agreement with existing reports that a higher relative humidity would lead to a higher deposition velocity. The acquired deposition velocities were lower than by factors of several tens than some field measurements probably due to a very low wind speed (about $0.2\;ms^{-1}$) in the chamber. Translocation factors (ratio of the total iodine in the roots at harvest to the total plant deposition), estimated in a more or less conservative way, were $1.3{\times}10^{-3}$ for an exposure at 29 d after sowing and $5.0{\times}10^{-3}$ for an exposure at 53 d after sowing. In using the present experimental data, meteorological conditions and chemical and physical forms of iodine need to be carefully considered.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.53-53
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• 2019

최근 지구온난화로 인한 기상 이변의 이유로 우리나라뿐만 아니라 세계 여러 국가에서 홍수 및 가뭄이 빈번하게 발생하고 있다. 특히 우리나라에서는 게릴라성 호우가 빈번히 발생하여 저지대 및 많은 지역에서 홍수가 발생하고 있으며, 연평균 총 강우량은 매년 비슷하나 게릴라성 호우와 같은 폭우의 빈도가 증가되고 있어 상대적으로 과거에 비해 가뭄의 발생기간도 길어지는 실정이다. 다시 말하면 게릴라성 호우와 같은 폭우는 잦아졌지만 강수량 자체는 감소하는 추세이다. 이는 홍수와 가뭄의 위험이 더 커졌다는 것을 의미한다. 이에 우리지역의 전체 물 이용 및 관리의 효율화가 필수적이며, 물 이용량의 약 50%를 차지하는 농업용수의 효율적 이용 및 관리가 중요하다. 따라서 본 연구에서는 관개기에 필요한 물이 얼마나 사용이 되는지에 대한 작물의 생육시기별 필요수량을 산정하고, 산정된 필요수량의 갈수빈도분석을 실시하고자 한다. 갈수빈도분석을 통해 재현기간에 따른 작물의 순별 필요수량 따라 저류조에 유입되는 빗물의 양으로 얼마만큼 해결이 되는지 확인하여 빗물의 사용량을 산정하여 저류조의 적정 용량을 검토하고자 한다. 작물계수를 이용하여 작물별 필요수량은 HOMWRS　프로그램을 이용하여 산정하며, 작물별 생육시기에 따른 필요수량에 대한 갈수빈도분석은 수문 통계 분석과 적합도 검정을 통하여 GUM, PT3, GEV, GLO, GPA 및 GNO분포를 대상으로 적정 분포를 선정한다. 선정된 분포형을 통해 재배작물별 생육시기에 따른 필요수량 계열의 설계 필요수량을 산정한다. 이에 따른 필요수량과 갈수빈도분석 결과를 통해 재배작물의 순별 수요량을 추정한다. 재배작물의 순별 물 수요와 잠재적인 저류조의 높이를 통해 빗물을 얼마만큼 재이용할 수 있는지에 대한 수용 비율(sufficiency ratio)을 산정하고. 순별 수요량에 따른 밭 작물의 적정 빗물 저류조 용량을 결정하는 방법을 제시하고자 한다.

• Journal of Radiation Protection and Research
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• v.20 no.4
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• pp.245-253
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• 1995

The effects of a simultaneous application of KCl and lime on the root uptake of $^{54}Mn,\;^{60}Co,\;^{85}Sr\;and\;^{137}Cs$ by rice, soybean, Chinese cabbage and radish were investigated through 2 years' greenhouse experiments. At their early growth stages, a mixed solution of the radionuclides was applied to the water or soil surfaces of the culture boxes filled with an acidic loamy-sandy soil for the upper 20cm and $83g/m^2$ of fertilizer KCl and $200g/m^2$ of slake lime were applied to the surfaces. Distribution of radioactivities among plant parts and change in uptake pattern with plant species were not, on the whole, significantly affected by the application. It reduced effectively soil-to-plant transfer factors of $^{85}Sr\;and\;^{137}Cs$ for rice, of all for Chinese cabbage and of $^{54}Mn,\;^{60}Co,\;and\;^{137}Cs$ for radish without their growth inhibition. In rice, $^{85}Sr$ showed the highest decrease $({\sim}60%)$ while, in Chinese cabbage and radish, $^{54}Mn$ did $({\sim}80%)$. The exprimental results can become valuable reference data to establish countermeasures against a radioactive contamination of farm-land during plant growth.

• Journal of Radiation Protection and Research
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• v.25 no.1
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• pp.21-30
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• 2000

For analyzing the direct contamination pathway of radionudides in rice plants, a Solution containing $^{54}Mn,\;^{57}Co,\;^{85}Sr,\;^{103}Ru$ and $^{134}Cs$ was applied to the aboveground Parts of the between RI application and harvest. Its highest observed value was 0.94. The fractions of the initial plant deposition that remained in rice plants at harvest were in the range of $19{\sim}47%,\;17{\sim}43%,\;19{\sim}42%,\;23{\sim}61%$ and $11{\sim}69%$ for $^{54}Mn,\;^{57}Co,\;^{85}Sr,\;^{103}Ru$ and $^{134}Cs$, respectively, when no decay was assumed. The translocation factors of those radionuclides in hulled seeds were in the range of $6.9{\times}10^{-4}3.8{\times}10^{-2},\;3.6{\times}10^{-3}{\sim}1.6{\times}10^{-1},\;5.8{\times}10^{-4}{\sim}3.2{\sim}10^{-2},\;1.6{\times}10^{-4}{\sim}7.6{\times}10^{-3}$ and $3.2{\times}10^{-2}{\sim}2.0{\times}10^{-1}$, respertively, and were highest when they were applied at the stage of active seed development. It was indicated that the remaining percentage and translocation factor would not be greatly affected by the difference in the rain frequency if it is within a factor of 2. These results can be utilzed for predicting the radionuclide concentrations in rice seeds when an accidental deposition of those radionuclides occurs during the rice-growing season.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.281-281
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• 2020

이 연구는 농업가뭄이 빈번하게 발생하는 대표적인 국내 농어촌지역에 대하여, 토지이용변화와 잠재증발산량 분석을 통해 관개용수 수요량을 추정하여, 가뭄 수요대응 상시 용수공급체계를 수립하고자 수행되었다. 연구지역은 총 1,164필지(면적 약 289 ha)로 구성되며, 지하수 공공관정에 대한 의존도가 높은(53%) 편이다. 농경지는 537필지(약 46 ha)이며 총면적(약 289 ha)의 약 16% 이고, 논이 약 11%(약 33 ha), 밭이 약 5%(약 13 ha)에 해당한다. 최근 10년(2010-2019년)간 농작물 재배면적을 살펴보면 논벼가 전체 농경지(46 ha)의 65-75%(약 32-33 ha)로 가장 넓다. 논벼를 제외하면, 깨(9-12%; 4-6 ha), 고추(3-9%; 2-5 ha), 고추/깨 윤작(2%; <1 ha), 수수(2-3%; 1 ha) 등이 나머지 면적에서 생산되며, 최근 들어 단호박, 마늘, 살구, 파, 표고버석, 호박 등 재배작물의 종류가 다양해지는 편이다. 작물별 실제 관개용수 수요량을 산정하기 위해 최근 10년간(2010-2019) 작물별 재배면적 변화, 재배기간, 작물계수, 잠재증발산량 등의 자료를 수집하여 분석하였다. 논에 대한 관개용수 수요량의 경우 논(297필지) 면적변화를 기반으로 HOMWRS 프로그램을 이용하여 산정하였다. 밭에 대한 관개용수 수요량은 밭(240개 필지)의 재배작물에 대하여 작물별 증발산량이 밭작물의 관개용수 수요량과 동일하다는 가정 하에 산정하였다. 이 결과, 최근 10년간(2010-2019) 연구지역 관개용수 수요량은 평균 377천 ㎥/년으로 추정되었다. 논은 밭에 비해 약 6배 관개용수 수요량이 많았고, 상세하게는, 논의 관개용수 수요량은 평균 321천 ㎥/년이었고, 반면 밭의 관개용수 수요량은 평균 56천 ㎥/년으로 산정되었다. 밭용수의 경우, 2010년 이래로 농가소득 증대를 위해 밭작물 재배면적이 증가하면서 밭의 용수 수요량은 해마다 증가추세(40~88천 ㎥/년)를 보였다.

• Korean Journal of Agricultural and Forest Meteorology
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• v.11 no.3
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• pp.111-117
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• 2009

Food and Agricultural Organization (FAO) Penman-Monteith (PM) equation is one of the most widely used equations for predicting evapotranspiration (ET) of crops. The ET rate and the base crop coefficients ($K_{cb}$) of the two different grape vines (i.e., Campbell Early and Kyoho) cultivated in Suwon were calculated by using the FAO PM equation. The ET rate of Campbell Early was $2.41\;mm\;day^{-1}$ and that of Kyoho was $2.22\;mm\;day^{-1}$ in August when the leaf area index was 2.2. During this period, the $K_{cb}$ of Campbell Early based on the FAO PM equation was on average 0.49 with the maximum value of 0.72. On the other hand, the $K_{cb}$ of Kyoho was averaged to be 0.45 with the maximum value of 0.64. The seasonal leaf area index for two grape cultivars was measured as 0.15 in April, 0.5 in May, 1.4 in June, 2.2 in July-September, and 1.5 in October. The $K_{cb}$ of Campbell Early showed a seasonal variation, changing from 0.03 in April to 0.11 in May, 0.31 in June, 0.49 in July-September, and 0.33 in October. The magnitudes and the seasonality of $K_{cb}$ of Kyoho were similar to those of Campbell Early.

• Korean Journal of Agricultural and Forest Meteorology
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• v.12 no.4
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• pp.232-237
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• 2010

While global solar radiation is an essential input variable in crop models, the observation stations are relatively sparse compared with other meteorological elements. Instead of using measured solar radiation, the Angstrom-Prescott model estimates have been widely used. Monthly data for solar radiation and sunshine duration are a convenient basis for deriving Angstrom-Prescott coefficients (a, b), but it is uncertain whether daily solar radiation could be estimated with a sufficient accuracy by the monthly data - derived coefficients. We derived the Angstrom-Prescott coefficients from the 25 years observed global solar radiation and sunshine duration data at 18 locations across South Korea. In order to figure out any improvements in estimating daily solar radiation by replacing monthly data with daily data, the coefficients (a, b) for each month were derived separately from daily data and monthly data. Local coefficients for eight validation sites were extracted from the spatially interpolated maps of the coefficients and used to estimate daily solar radiation from September 2008 to August 2009 when, pyranometers were operated at the same sites for validation purpose. Comparison with the measured radiation showed a better performance of the daily data - derived coefficients in estimating daily global solar radiation than the monthly data - derived coefficients, showing 9.3% decrease in the root mean square error (RMSE).