• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.189-189
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• 2021

최근 기후변화로 인한 가뭄, 홍수 등의 기상재해 발생빈도가 증가함에 따라 저수지의 용수공급 안정성이 감소하고 있다. 우리나라 농업용수는 총 수자원 이용량의 48%를 차지하고 있으며 영농활동의 필수 자원으로 농업용 저수지의 용수공급에 크게 의존하고 있다. 하지만 유효저수용량을 기준으로 다목적댐과 비교하였을 때 농업용 저수지의 규모가 작으므로 가뭄이 발생하게 된다면 용수공급에 큰 어려움을 겪을 수 있다. 또한 농업용 저수지의 절반 이상이 준공년도가 70년 이상으로 농업용 저수지의 노후화가 심각한 상태이며 수문 실측자료가 부족하여 이수 측면의 활용성과 관련된 연구가 부족한 실정이다. 이에 따라 농업용 저수지의 안정적인 용수공급 및 이수 측면의 분석을 위해서는 농업용 저수지 상류의 정확도 높은 장기유출량 산정이 선행되어야 한다. 현재 농업용 저수지의 장기유출량 산정을 위해 사용되고 있는 DIROM 모형은 Sugawara의 TANK 모형을 우리나라 농업용 저수지의 유역 특성에 맞게 수정한 일별 유입량 모의 발생 모형이다. 그러나 DIROM 모형의 매개변수는 1980년대에 개발된 이후 현재까지 특별한 개선없이 사용되고 있다. 따라서 최근 우리나라의 기후 및 토지이용 특성이 변화함에 따라 유출 특성이 변화하였기 때문에 장기유출량 산정을 위한 매개변수 개선이 필요하다. 본 연구에서는 하천의 최상류에 위치한 수위 관측소의 유출량 자료를 활용하여 지역별 DIROM 모형의 매개변수를 추정하고, 추정된 매개변수를 활용하여 회귀식을 개발하고자 하였다. 개발된 회귀식의 검증을 위해 최근 수문자료 관측을 수행하기 시작한 농업용 저수지의 실측 수문자료를 활용하였다. 이를 통해 농업용 저수지의 안정적인 용수공급 및 저수지 관리를 통해 농업용수의 활용성을 개선할 수 있을 것이라 판단된다.

• Journal of Energy Engineering
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• v.25 no.4
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• pp.190-197
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• 2016

Flash point is the one of the important properties for the safe handling of inflammable liquid solution. In this paper, flash points of binary liquid solutions, water+1-propanol and water+2-propanol, were been measured by using Seta flash closed cup aparatus. Flash point was estimated using regression analysis method. Flash points were also estimated by the method based on Raoul's law and the method optimizing the binary parameters of van Laar equation. Experimental results were compared with the calculated results. The regression analysis method is able to estimate the flash point fairly well for water+1-propanol and water+2-propanol mixture.

• Journal of the Society of Disaster Information
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• v.12 no.1
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• pp.74-88
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• 2016

Predicting and estimating the disaster characteristics are very important for disaster planning such as prevention, preparedness, response, and recovery. Especially, if we can predict the flood damage before flooding, the predicted or estimated damage will be a very good information to the decision maker for the response and recovery. However, most of the researches, have been performed for calculating disaster damages only after disasters had already happened and there are few studies that are related to the prediction of the damages before disaster. Therefore, the objective of this study was to predict and estimate the flood damages rapidly considering the damage scale and effect before the flood disaster, For this the relationship of rainfall and damage had been suggested using nonlinear regression equation so that it is able to predict the damages according to rainfall. We compared the estimated damages and the actual ones. As a result, the damages were underestimated in 14.16% for Suwon-city and 15.81% for Yangpyeong-town but the damage was overestimated in 37.33% for Icheon-city. The underestimated and overestimated results could be occurred due to the uncertainties involved in natural phenomenon and no considerations of the 4 disaster steps such as prevention, preparedness, response, and recovery which were already performed.. Therefore, we may need the continuous study in this area for reducing various uncertainties and considering various factors related to disasters.

• Journal of Wetlands Research
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• v.15 no.1
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• pp.9-17
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• 2013

Scirpus planiculmis dominated in Nakdong river estuary is known as food for birds visiting to Nakdong river estuary and plays an important role in material cycle and food web, while repeating growth and production, decomposition process in 1-year interval. Therefore, if it is able to predict effectively biomass or tuber production of Scirpus planiculmis which is food source for estuarine organisms or birds, it can provide very useful information on the Nakdong river estuary management. In this study, regression equation that can predict the tuber production, food for birds, was obtained using initial density of Scirpus planiculmis that can minimize the disturbance of ecosystem and is faster and easier. The correlation analysis results show that density, biomass and tuber production have liner relationship(p<0.001) with 0.6103~0.9950 of correlation coefficients. In addition, the regression equations have high coefficients of determination of 0.3696~0.7145 and it shows that it is able to predict biomass or tuber production while using the estimated regression equation obtained from relationship among the initial density, biomass and tuber production. The results of this study are expected to utilize effectively the management of estuary ecosystem such as management on food source for migratory birds visiting to Nakdong river estuary.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.4B
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• pp.363-374
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• 2008

Intensity-Duration-Frequency (IDF) curve that is essential to calculate rainfall quantiles for designing hydraulic structures in Korea is generally formulated by regression analysis. In this study, IDF curve derived by the cumulative distribution function ("IDF by CDF") of the proper probability distribution function (PDF) of each site is suggested, and the corresponding parameters of IDF curve are computed using genetic algorithm (GA). For this purpose, IDF by CDF and the conventional IDF derived by regression analysis ("IDF by REG") were computed for 22 Korea Meteorological Administration (KMA) rainfall recording sites. Comparisons of RMSE (root mean squared error) and RRMSE (Relative RMSE) of rainfall intensities computed from IDF by CDF and IDF by REG show that IDF by CDF is more accurate than IDF by REG. In order to accommodate the effect of the recent intensive rainfall of Korea, the rainfall intensities computed by the two IDF curves are compared with that by at-site frequency analysis using the rainfall data recorded by 2006, and the result from IDF by CDF show the better performance than that from IDF by REG. As a result, it can be said that the suggested IDF by CDF curve would be the more efficient IDF curve than that computed by regression analysis and could be applied for Korean rainfall data.

• Proceedings of the Korea Water Resources Association Conference
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• 2004.05b
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• pp.630-634
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• 2004

현재까지 대부분의 유출 모형들은 우리나라 농업지역에 내한 적용에 있어 많은 수정이 요구되고, 그에 따른 모의 결과 또한 불확실성을 내포하고 있으며, 이의 원인중 상당수는 농업지역에서 발생하는 관개와 회귀에 따른 것이라 찰 수 있다. 특히 농업지역에서의 유출 및 물사용에 대한 정확한 계측이 제대로 이루어지고 있지 못하기 때문에, 그에 따른 정확한 수자원 평가가 어려운 현실이다. 이에 본 논문에서는 본 연구진에서 기 개발한 순물소모량 산정방법과 회귀 관계식으로 보청천 유역의 회귀특성을 규명하고자 하였으며, 본 연구에서 사용한 모형은 SWAT모형의 농업용수 관개 기능을 보완한 SWAT-AGRIMANAGEMENT모형을 개발 이용하였다. 유역규모에서의 농업용수 사용에 따른 하천유량의 변화 및 유역내 회귀관계를 파악할 수 있었으며, 기존에 주로 관개지구 단위에서의 회귀수량 조사 결과 및 가정에 의하여 사용되던 농업용수 회귀율에 대한 보다 의미있는 기준을 제시할 수 있을 것으로 기대된다.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.11
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• pp.809-814
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• 2013

Summed area table (SAT) is a data structure in which the sum of pixel values in an arbitrary rectangular area can be represented by the linear combination of four pixel values. Since SAT serially accumulates the pixel values from an image corner to the other corner, a high-resolution image can yield overflow in a floating-point representation. In this paper, we present a new SAT construction technique, which accumulates only the residuals from the linearly-regressed representation of an image and thereby significantly reduces the accumulation errors. Also, we propose a method to find the integral of the linear regression in constant time using double integral. We performed experiments on the image reconstruction, and the results showed that our approach more reduces the accumulation errors than the conventional fixed-offset SAT.

• The Journal of the Korea Contents Association
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• v.10 no.2
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• pp.381-393
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• 2010

The purpose of this research is to identify the different determinants according to the types of motion pictures; art film and commercial film. We found that the regression equations of two types of motions pictures are structurally different. More specifically, we identified that the number of screens, viewers' evaluation, and genres have a significant relationship with the performance of motion pictures both in the commercial and art film. However, director, ratings, critics, power of agency, nationality, and the timing of release affect the performance of motion pictures just on the art films.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.307-307
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• 2011

ARF(Areal Reduction Factor, 면적우량감소계수)는 지점강우량을 면적 평균 강우량으로 변환하는 환산계수로 정의되며, 유역의 지형학적 특성과 강우의 공간적 분포특성을 반영한 유역단위의 ARF의 개발이 요구된다. 하지만 국내의 ARF는 대부분 한강유역을 대상으로 하고 있어 한강유역과 지형학적, 수문 기상학적 특징이 상이한 유역에 대하여 연구 결과를 적용하기는 많은 제약이 따를 것으로 판단된다. 따라서 본 연구에서는 남강댐 유역의 ARF를 산정하기 위해 7개의 강우관측소(산청, 삼가, 신안, 안의, 운봉, 태수, 함양)로부터 시강우자료(1990년~2010년)를 수집한 후 14개의 재현기간, 6개의 지속시간에 대한 지수형 ARF 회귀식을 산정하였다. 그 결과 남강댐 유역의 지수형 ARF 회귀식의 결정계수는 0.80~0.99로 높은 상관성을 나타내었다. 그리고 남강댐 유역의 ARF와 첨두홍수량의 관계를 분석하기 위해 남강댐 유역내의 산청유역을 대상으로 재현기간 100년, 지속시간 24시간에 대한 홍수량을 모의하였다. 그 결과 ARF의 적용 전 후의 첨두홍수량은 10% 이상 감소하는 것으로 나타났다. 따라서 남강댐 유역의 기상학적 특성을 고려한 첨두홍수량 산정을 위해서는 본 연구에서 제안한 ARF 회귀식이 유용할 것으로 판단된다.

• Journal of Korea Water Resources Association
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• v.55 no.10
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• pp.775-784
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• 2022

In this study, to determine the optimal order of the full-logged I-D-F polynomial equation, which is mainly used to calculate the probable rainfall over a temporal rainfall duration, the probable rainfall was calculated and the regression coefficients of the full-logged I-D-F polynomial equation was estimated. The optimal variable of the polynomial equation for each station was selected using a stepwise selection method, and statistical significance tests were performed through ANOVA. Using these results, the statistically appropriately calculated rainfall intensity equation for each station was presented. As a result of analyzing the variable selection outputs of the full-logged I-D-F polynomial equation at 9 stations in Gyeongbuk, the 1^st to 3^rd order equations at 6 stations and the incomplete 3^rd order at 1 station were determined as the optimal equations. Since the 1^st order equation is similar to the Sherman type equation and the 2^nd order one is similar to the general type equation, it was presented as a unified form of rainfall intensity equation for convenience of use by increasing the number of independent variables. Therefore, it is judged that there is no statistical problem in considering only the 3^rd order polynomial regression equation for the full-logged I-D-F.