• Korean Journal of Environmental Agriculture
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• v.4 no.1
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• pp.52-56
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• 1985

This study was undertaken to investigate the crop yield of pear and rice cultivated around Onsan Industrial complex, the sulfur content in their leaves, and the crop loss. The correlation between them is as follows: 1) The sulfur content in pear and rice leaves in studied area is higher than that in unpolluted area, and there is crop loss in studied area. 2) There is a good correlation between sulfur content and crop loss of pear and rice. The air pollution in studied area is considered to be the reason of the crop loss. 3) The regression equation between the sulfur content in crop leaves and the crop loss seems to be useful for the crop loss rate by sulfur dioxide in the damaged area and that seems to be a good reference for the compensation of pear and rice loss by sulfur dioxide gas emission from Onsan Industral Complex.

• Research in Plant Disease
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• v.16 no.3
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• pp.285-289
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• 2010

The experiments were carried out in fields for two years from 2008 to assess yield losses of squash due to powdery mildew caused by Sphaerotheca fuliginea and to determine its economic thresholds. Powdery mildew disease was first observed in late June, about 50 days after field-transplanting, progressed rapidly during late July to early August, and began to reduce from late August. Powdery mildew severity was negatively correlated with squash yields. A positive correlation was observed between fruit weight and % marketable fruits. A simple linear regression model was obtained as Y=-10.399 X + 6607.5 with $R^2$ = 0.9700 when squash yields (Y) was predicted using powdery mildew severity as an independent variable(X). Spray threshold for maximizing squash yields without economic considerations was estimated as 6.5% in terms of leaf lesion area with powdery mildew. Economic threshold and economic spray threshold able to compensate the costs of fungicide sprays were determined as 21.6% and 17.3% in leaf lesion area, respectively.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.1693-1697
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• 2009

수자원의 지속적 확보기술개발사업의 장단기 저수지 연계운영 및 수질개선 방안 연구에서 개발 중인 범용 하천유역관리 모형인 KModSim은 그 수행속도와 모델 구성의 편이성으로 인해 하천의 수요처와 다수개의 저수지를 포함하는 대단위 유역에 적용이 용이하다. 본 연구에서는 현재 한국수자원공사에서 저수지 운영계획에 사용하고 있는 저수지 운영 기준수위를 바탕으로 하천유지용수와 수질개선용수를 확보하는 방안을 검토하였다. 우선 수량과 수질을 고려한 저수지 운영계획을 수립하기 위하여 기존의 수량만을 분배하는 물배분 시스템을 바탕으로 방류량에 증가에 따라 수질개선을 유도할 수 있도록 수질 개선 용수 수요노드를 추가하였다. 이때 유역내의 저수지의 기준수위와 하천의 하천유지용수 및 용수수요노드의 우선순위의 설정에 따라 deficit supply 방식의 물분배가 가능하게 하였으며 이를 통해 꼭 필요한 유량이 발생 할 때 유량을 공급할 수 있도록 모형을 설정 하였다. 반면 방류량에 따른 수질개선 효과를 분석하기 위하여 과거의 수질 측정자료의 상관성을 분석하여 다중회귀분석 모형을 개발하였다. 개발된 모형은 방류량의 증가에 따른 수질개선 효과를 분석할 수 있는 모형으로 특정시점에 있어서 특정 수질 매개변수의 농도를 예측할 수 있으며 적정수준 이하의 수질 농도를 유지하기 위하여 필요한 방류량을 계산하도록 하였다. 이러한 수질 개선을 위한 공급 시나리오는 기존의 용수 우선의 시나리오 분석과 더불어 운영자에게 다양한 정보를 제공하여 보다 효율적 저수지 운영계획이 수립될 수 있도록 활용될 수 있을 것으로 기대한다.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.27 no.1
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• pp.66-71
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• 1982

Field experiments of nitrogen application (0, 100, 200, 400, 800kg N/ha year) were carried out to study the nitrogen response of Sudangrass at College Farm, Seoul National Univ., in 1979 and 1980. Dry matter yield and leaf area index increased up to 400kg N/ha in 1979 and 800kg N/ha in 1980. The forage yield of 1980 was less than that of 1979, due to the extraordinarily low temperature and the decreased solar radiation during summer. Total nitrogen contents in forage increased with nitrogen application, but maximum contents were found either 400 or 800kg N levels depend on each cutting stages. Nitrate nitrogen content in forage exceded over 2000 ppm at 800kg N application. Overall percentages of N recovery were below 50% with average 34%. Net assimilation rate and nitrogen use efficiency of Sudangrass were improved in higher temperature and more sunlight condition during regrowth period.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.125-125
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• 2011

본 연구에서는 기후변화에 의한 자연재해 취약성을 정량적으로 분석하기 위하여 기상인자와 재해발생으로 인한 피해액의 상관관계를 이용하였다. 재해로 인한 피해액은 1994년부터 2008년까지 15년간 전국 시군별로 피해액을 집계한 자료를 이용하였으며, 우리나라 58개 강우관측소의 일강수량 자료를 이용하여 재해에 영향을 줄 수 있는 네 가지 인자를 추출하였고, 연도별 태풍 발생 횟수도 하나의 기상인자로 고려하였다. 피해액의 규모는 가뭄, 화재, 태풍 및 해일 등 재해발생 유형에 따라서도 영향을 받겠지만, 기후변화 시나리오에 의해 예측할 수 있는 대표적인 미래 추정값은 강수량과 온도 등이며, 결국 재해발생 유형별 시나리오에 의한 재해규모 예측이 아닌 기후변화 시나리오에 의한 미래 재해발생 규모 모형을 구축하기 위해서는 관련 인자로서 강수량으로부터 추출한 인자들을 고려할 수밖에 없을 것이다. 일강수량으로부터 추출한 네 가지 영향인자들은 80mm이상 일강수량 발생일수, 80mm이상 일강수량의 합, 80mm이상 강우의 발생 간격이 30일 이하인 횟수 및 연최대강수량이다. 우선 광역시와 도별로 전국 58개 관측소를 분류하고, 해당 관측소들로부터 추출된 인자들의 평균값을 이용하여 연구를 진행하였다. 미래 강수량 자료는 국립기상연구소의 A2시나리오를 통계학적 Downscaling을 통해 재생산한 자료를 이용하였다. 예측모형은 Bayesian 모형을 기반으로 DEXP(double exponential distribution) 확률분포를 이용하였다. 재해피해액 를 아래와 같이 비정상성 모형으로 구성하였으며, 위치매개 변수의 확률분포를 네 가지 기상인자에 의한 회귀식으로 구성하였다. Y damage costs) = dexp(${\mu}(t),\tau(t)$) $p({\mu}(t))\sim(abs({\alpha}+{\alpha}_1X_1+{\alpha}_2X_2+{\alpha}_3X_3+{\alpha}_4X_4,\;\sigma_{\alpha}^2)$ $p(\tau){\sim}G(k,s)$.

• Journal of Korea Water Resources Association
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• v.52 no.7
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• pp.483-492
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• 2019

An analytical model was developed to estimate the stream depletion due to cyclic groundwater pumping by extending the Hunt's analytical solution which was derived from considering the hydraulic characteristics of the aquifer and the streambed. The model was applied to analyze the long-term effects of groundwater pumping on stream depletion during irrigation season. For the case of a total of 1,500 conditions according to various aquifer and streambed hydraulic characteristics and stream-well distance, the stream depletion due to cyclic groundwater pumping for 10 years was calculated and the results were graphically represented. Especially, the maximum and average stream depletion rates were calculated and compared with the results for continuous groundwater pumping. Furthermore, considering both stream depletion and return flow rates, the limit hydraulic condition that minimizes the influence of groundwater pumping for irrigation water supply on stream depletion was suggested.

• Smart Media Journal
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• v.11 no.5
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• pp.9-16
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• 2022

Recently, agricultural sites are automating into digital agricultural smart farms by applying technologies such as big data and Internet of Things (IoT). These smart farms aim to increase production and improve crop quality by measuring the environment of crops, investigating and processing data. Production prediction is an important study in smart farm digital agriculture, which is a high-tech agriculture, and it is necessary to analyze environmental data using big data and further standardized research to manage the quality of growth information data. In this paper, environmental and production data collected from smart farm strawberry farms were analyzed and studied. Based on regression analysis, crop production prediction models were analyzed using Ridge Regression, LightGBM, and XGBoost. Among the three models, the optimal model was XGBoost, and R2 showed 82.5 percent explanatory power. As a result of the study, the correlation between the amount of positive fluid absorption and environmental data was confirmed, and significant results were obtained for the production prediction study. In the future, it is expected to contribute to the prevention of environmental pollution and reduction of sheep through the management of sheep by studying the amount of sheep absorption, such as information on the growing environment of crops and the ingredients of sheep.

• Ecology and Resilient Infrastructure
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• v.9 no.4
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• pp.269-281
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• 2022

The prediction of changes regarding the distribution of vegetation and plant species according to climate changes is important for ecosystem management. In this study, we attempted to develop an assessment method to evaluate the possibility of the potential distribution of warm-temperate woody plant species of East Asia in Korea. To begin with, a list of warm-temperate woody plants distributed in China and Japan, but not in Korea, was prepared, and a database consisting their global distribution and bioclimatic variables was constructed. In addition, the warm-temperate vegetation zone in Korea was delineated using the coldness index and relevant bioclimatic data were collected. After the exclusion of multicollinearity among bioclimatic variables using correlation analysis, mean temperature of the coldest quarter, mean temperature diurnal range, and annual precipitation were selected as the major variables that influence the distribution of warm-temperate plants. A multivariate environment similarity surfaces (MESS) analysis was conducted to calculate the similarity scores between the distribution of these three bioclimatic variables in the global distribution sites of the East Asian warm-temperate woody plants and the Korean warm-temperate vegetation zone. Finally, using stepwise variable-selection regression, the mean temperature of the coldest quarter and annual precipitation were selected as the main bioclimatic variables that affect the MESS similarity index. The mean temperature of the coldest quarter accounted for 88% of the total variance. For a total of 319 East Asian warm-temperate woody plant species, the possibility of their potential distribution in Korea was evaluated by applying the constructed multivariate regression model that calculates the MESS similarity index.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.432-432
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• 2015

농업용 저수지의 하류유역은 저수지로부터 농업용수를 공급받는 관개지구와 산림지 등 관개를 실시하지 않는 비관개지구의 수문순환이 복합적으로 연계된다. 이러한 저수지 하류유역의 하천유량은 배후 유역에서 발생하는 유역 유출량, 관개지구의 농업용수 회귀수량, 저수지에서 방류되는 환경용수 방류량과 제한수위 및 만수위 방류량, 그리고 지하수 유출량 등으로 구성된다. 본 연구에서는 저수지 하류의 하천유량 구성 요소를 해석하는 하천망 모형을 구성하였고, 대상지구의 자료를 구축하였으며, 모형의 보정 및 검정을 수행하였다. 비관개지구의 유출량 모의는 수정 3단 Tank 모형을 이용하였다. 관개지구의 배수량은 논 포장 배수량과 용수로 배수량을 구분하여 모의하며, 논 포장 배수량은 논 물수지식을 기반으로 모의하였다. 저수지 방류량은 저수지 유입량과 저수지 운영방식을 고려하여 모의하도록 구성하였다. 하도 추적은 Muskingum 방법을 이용하였다. 연구 대상지로 이동저수지 유역을 선정하여 기상, 지형, 수문, 그리고 영농 자료를 수집하여 모형의 입력 자료를 구축하였다. 모형의 평가를 위한 통계적 지표는 Nash-Sutcliffe efficiency (NSE), root mean square error-observations standard deviation ratio (RSR), 그리고 percent bias (PBIAS)를 이용하였다. 보정 및 검정 결과 구성된 모형의 모의 결과는 실측치의 경향을 잘 반영하는 것으로 나타났다. 본 연구 결과는 우리나라 농촌유역 물순환에 대한 이해를 넓히며, 저수지 하류유역 유량 해석을 위한 기초자료로 이용될 수 있을 것으로 사료된다.

• Korean journal of applied entomology
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• v.47 no.4
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• pp.395-400
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• 2008

Economic injury levels (EILs) and economic threshold (ET) were estimated for the two spider mite, Tetranychus urticae Koch (Acari, Tetranychidae) on greenhouse eggplants. T. urticae density increased until the mid-July and thereafter decreased in all plots where initial density of the mite were different each 0, 2, 5, 10 and 20 adults per plant was innoculated on June 7. Growth variables of were not different among experimental plots but fruit weights were lower in plots with higher initial mite density than in plots with lower initial mite density. Total number of fruits and the number of marketable fruits decreased in plots with higher initial mite density. The rates of yield loss increased with increasing initial mite density, resulting in 0, 3.9, 11.3, 14.5, 22.8% reduction in each of the above plots, respectively. The relationship between initial T. urticae densities and yield losses was well described by a linear regression, Y = 1.085X + 2.474, $R^2$ = 0.9659. Based on the relationship, the number of adults per plant which can cause 5% loss of yield was estimated to be approximately 1.8.