• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.632-636
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• 2006

본 연구에서는 레이더 강수를 산정하는 기법을 비교.분석하고자 하였다. 레이더 강수산정기법의 비교는 레이더 반사도를 강우강도로 변환시키는 두가지 Z-R 관계식 산정방법을 기준으로 구분하여 수행하였다. Z-R 관계식 산정방법 중 첫번째는 지상강우계와 대응되는 레이더 격자 사이의 관계를 통해서 Z-R 관계식을 산출하여 레이더 강수를 산정하는 Least-Square Fitting 방법이고, 두번째 방법은 강우량계에서 관측된 강우량과 이에 근접한 영역에서 얻은 레이더 반사도 자료 각각의 확률밀도함수를 대응시켜 Z-R 관계식을 산출하는 WPMM(Window Probability Matching Method)을 적용하는 방법이다. 이 두 방법의 비교를 위해 2003년 6월에서 8월사이의 두 강우사상을 선택하여 Z-R 관계식을 산정하였으며, 산정된 Z-R 관계식으로 추정된 레이더 강수의 기상학적 검증을 통해 정성적.정량적으로 검토하였다. 한반도 전역에 대하여 산정된 레이더 추정강수를 검토한 결과 대체적으로 정확도 및 상관성 측면에서 WPMM 방법이 Least-Square Fitting 방법보다 정확한 것으로 나타났다. 또한, 도시 유역의 홍수예경보에 적합한 레이더 강수산정기법을 파악하고자 중랑천 유역의 레이더 강수를 수문학적으로 분석한 결과 WPMM 방법이 보다 유효한 것으로 검토되었다.

• Journal of Korea Water Resources Association
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• v.45 no.1
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• pp.53-64
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• 2012

In this study (II), the module developed in the previous study (I) has been tested on application and numerical stability. The runoff module was compared the result of analysis with two different models (FFC2Q and $Vflo^{TM}$) considering characteristic of infiltration. To examine the application and stability of developed module, runoff aspect was simulated under the variety case of rainfall intensity, effective soil depth, elapsed time. The development module was presented typical type of infiltration process looking physically, the different of saturation point on soil type, and characteristic of soil type. Also, the module was reflected in the runoff feature about rainfall intensity and time distribution. Finally, this paper drew a conclusion that result of rainfall-runoff analysis as compared with difference models (FFC2Q and $Vflo^{TM}$) has a high accuracy.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.463-463
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• 2011

농업은 다른 산업과 달리 원천적으로 기후 조건과 변화에 크게 좌우되는 분야로, 기후변화로 인한 영향에 가장 민감한 분야이다. 안정적이고 지속적인 농작물 생산을 위해서는 기후변화가 농업수자원에 미치는 영향에 대하여 정확히 파악하고, 이로 인해 발생할 수 있는 부정적 효과를 최소화하기 위한 연구가 필요하다. 즉 기온 상승, 강수량 및 강우강도 변화 및 일조시간의 변화 등의 기후변화에 따른 농업수자원에 미치는 영향에 대한 평가가 필요하다. 기후변화가 관개용수에 미치는 영향은 기온 상승과 강수량 증가로 크게 나누어 볼 수 있다. 기온상승은 증발산량 증가로 이어져 관개용수 증가의 원인이 된다. 강수량의 증가는 관개용수를 감소의 원인이 될 수 있지만, 계절별 강우 편차 및 강우 강도의 변화는 유효우량의 감소의 원인이 될 수 있다. 이는 관개기의 농업용수의 안정적 공급과 관리의 어려움이 예상되어 결과적으로 농업용수의 안정성을 위협받을 수도 있다. 즉, 전체 수자원에 큰 비중을 차지하고 있는 논벼의 순용수량에 있어서 기후변화가 미치는 영향에 대한 연구가 필요하다. 또한 농업용수개발과 수자원의 효율적인 관리계획 수립을 위해서는 기후변화에 따른 농업용수 수요분석이 이루어져야 한다. 따라서 본 연구에서는 기후변화 시나리오에 따른 순용수량을 산정하고, 이를 빈도분석하여 논벼의 수요량 변화를 분석하고자 하였다. 이를 위하여 이를 위하여 먼저 CGCM3.1 (Coupled Global Climate Model Ver. 3.1) 및 LARS-WG (Long Ashton Research Station Weather Generator)를 이용하여 2011년부터 2100년까지의 A1B, A2 및 B1 시나리오별로 기상자료를 생성하였다. 이를 바탕으로 물수지 방법을 이용하여 논에서의 순용수량을 산정하고, 한발기준 10년빈도 순용수량을 산정하여 논벼의 수요량을 분석하였다. 연구 결과는 향후 기후변화로 인한 농업용수 변화를 파악하고 전망함으로써, 추후 발생할 수 있는 부정적 효과를 최소화하기 위한 대응 전략 및 농업수자원 정책의 기초 자료로 활용될 수 있을 것으로 판단된다.

• Journal of the Korea Society of Computer and Information
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• v.29 no.9
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• pp.125-136
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• 2024

This study presents an automated Python algorithm for analyzing rainfall characteristics to establish critical rainfall thresholds as part of a landslide early warning system. Rainfall data were sourced from the Korea Meteorological Administration's Automatic Weather System (AWS) and the Korea Forest Service's Automatic Mountain Observation System (AMOS), while landslide data from 2020 to 2023 were gathered via the Life Safety Map. The algorithm involves three main steps: 1) processing rainfall data to correct inconsistencies and fill data gaps, 2) identifying the nearest observation station to each landslide location, and 3) conducting statistical analysis of rainfall characteristics. The analysis utilized power law and nonlinear regression, yielding an average R² of 0.45 for the relationships between rainfall intensity-duration, effective rainfall-duration, antecedent rainfall-duration, and maximum hourly rainfall-duration. The critical thresholds identified were 0.9-1.4 mm/hr for rainfall intensity, 68.5-132.5 mm for effective rainfall, 81.6-151.1 mm for antecedent rainfall, and 17.5-26.5 mm for maximum hourly rainfall. Validation using AUC-ROC analysis showed a low AUC value of 0.5, highlighting the limitations of using rainfall data alone to predict landslides. Additionally, the algorithm's speed performance evaluation revealed a total processing time of 30 minutes, further emphasizing the limitations of relying solely on rainfall data for disaster prediction. However, to mitigate loss of life and property damage due to disasters, it is crucial to establish criteria using quantitative and easily interpretable methods. Thus, the algorithm developed in this study is expected to contribute to reducing damage by providing a quantitative evaluation of critical rainfall thresholds that trigger landslides.

• Journal of Wetlands Research
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• v.18 no.2
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• pp.183-193
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• 2016

In this study, design and performance of infiltration trench using woodchip as media for treating stormwater from highway were examined through field monitoring. Average reduction efficiency for TSS, COD, BOD, TN, and TP was 88%, 94%, 85%, 80%, and 75% respectively, which is similar to values reported by other studies and design manuals even though direct comparison is not possible due to different monitoring and design conditions. Mean field infiltration rate estimated by measuring the change of water depth inside the observation well was about 40mm/hr, and the time taken for complete infiltration was about 0.83days, which corresponds well with design criteria recommended by MOE guidelines in Korea. In addition, according to analysis of infiltration rate and reduction efficiency, effective rainfall depth applied for determining water quality volume(WQv), 5mm was found to be properly established as design criteria. Woodchip must be considered and included as an alternative media together with crushed rock and gravel into the design guidelines because it has more advantages in terms of weight, porosity, cost, and easiness of management than other media materials.

• Journal of Korea Water Resources Association
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• v.36 no.4
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• pp.533-545
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• 2003

This study analyzed several storm events observed in the Seolma-chun basin to derive the characteristic velocity of GIUH (Geomophological Instantaneous Unit Hydrograph) as well as its variability. Especially, this study focused on the variation of characteristic velocity due to the change of rainfall characteristics. The IUH of the Seolma-chun basin was derived using the HEC-1, whose peak discharge and time were then compared with those of the GIUH to derive the characteristic velocities. The characteristics velocities were analyzed by comparing with the GcIUH (Geomorphoclimatic IUH) as well as the characteristics of rainfall. Results are summarized as follows. (1) The characteristic velocity of GIUH was estimated higher with higher variability than the GcIUH, but their trends were found similar (2) Total amount of effective rainfall (or, mean effective rainfall) well explains the characteristic velocity of GIUH. This could be assured by the regression analysis, whose coefficient of determination was estimated about 0.6. (3) The duration and the maximum intensity of rainfall were found not to affect significantly on the characteristic velocity of GIUH. The coefficients of determination were estimated less than 0.3 for all cases considered. (4) For the rainfall events used in this study, the characteristic velocities of GIUH were found to follow the Gaussian distribution with its mean and the standard deviation 0.402 m/s and 0.173 m/s, respectively. Most of the values are within the range of 0.4∼0.5 m/s, and its coefficient of variation was estimated to be 0.43, much less than that of the runoff itself (about 1.0).

• The Journal of Engineering Geology
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• v.22 no.3
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• pp.343-351
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• 2012

This study proposes a modified equation to calculate the factor of safety for an infinite slope considering the saturation depth ratio as a new variable calculated from rainfall infiltration into unsaturated soil. For the proposed equation, this study introduces the concepts of the saturation depth ratio and subsurface flow depth. Analysis of the factor of safety for an infinite slope is conducted by the sequential calculation of the effective upslope contributing area, subsurface flow depth, and the saturation depth ratio based on quasi-dynamic wetness index theory. The calculation process makes it possible to understand changes in the factor of safety and the infiltration behavior of individual rainfall events. This study analyzes stability changes in an infinite slope, considering the saturation depth ratio of soil, based on the proposed equation and the results of soil column tests performed by Park et al. (2011 a). The analysis results show that changes in the factor of safety are dependent on the saturation depth ratio, which reflects the rainfall infiltration into unsaturated weathered gneiss soil. Under continuous rainfall with intensities of 20 and 50 mm/h, the time taken for the factor of safety to decrease to less than 1.3 was 2.86-5.38 hours and 1.34-2.92 hours, respectively; in the case of repeated rainfall events, the time taken was between 3.27 and 5.61 hours. The results demonstrate that it is possible to understand changes in the factor of safety for an infinite slope dependent on the saturation depth ratio.

• Journal of Korea Water Resources Association
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• v.43 no.11
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• pp.967-976
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• 2010

AFDA (Approximate Full Distribution Approach) model of FORM (First-Order Reliability Model) which can quantitatively calculate the probability that storm sewer reach to performance limit state was developed in this study. It was defined as a failure if amount of inflow exceed the capacity of storm sewer. Manning's equation and rational equation were used to determine the capacity and inflow of reliability function. Furthermore, statistical characteristics and distribution for the random variables were analyzed as a reliability analysis. It was found that the statistical distribution for annual maximum rainfall intensity of 10 cities in Korea is matched well with Gumbel distribution. Reliability model developed in this study was applied to Y shaped storm sewer system to calculate the probability that storm sewer may exceed the performance limit state. Probability of failure according to diameter was calculated using Manning's equation. Especially, probability of failure of storm sewer in Mungyeong and Daejeon was calculated using rainfall intensity of 50-year return period. It was found that probability of failure can be significantly increased if diameter is decreased below the original diameter. Therefore, cleaning the debris in sewer pipes to maintain the original pipe diameter should be one of the best ways to reduce the probability of failure of storm sewer. In sewer system, two sewer pipes can flow into one sewer pipe. For this case, probability of system failure was calculated using multiple failure mode. Reliability model developed in this study can be applied to design, maintenance, management, and control of storm sewer system.

• Journal of Advanced Navigation Technology
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• v.19 no.6
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• pp.607-613
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• 2015

In order to design M/W(microwave) short backhaul above 10 GHz to meet the increase in mobile traffic demand, the rain attenuation as well as the atmospheric conditions such as Earth bulge and Fresnel zone should be considered. In this paper, the path lengths have been estimated theoretically in various frequency bands using the Korean standard rain rate, and an example of path profile has been analyzed in urban area utilizing spectrum management intelligence system (SMIS). These derived minimum path lengths in various frequency bands are compared to the foreign them, and then will be proposed to improve the Korean minimum path length unitized to 10 km. This paper will provide useful information for microwave engineers in designing a M/W access link, and be utilized to make an efficient usage of high frequency bands for the short mobile broadband backhaul.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.2276-2280
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• 2008

가뭄은 강우의 시기별 지역별 불균형으로 인해 발생하며 한 계절에서 1년, 길게는 수년 동안 지속되는 시간 특성을 가지면서 그 시작과 끝을 명확하게 정의하기가 힘들고 지속적으로 누적된 효과가 천천히 나타난다. 이러한 가뭄의 관리를 위해서는 시간적인 가뭄의 발생과 공간적인 가뭄의 분포를 파악하는 것이 중요하며, 가뭄의 진행상황이나 심도를 정의할 수 있는 객관적인 기준을 통해 수행할 수 있을 것이다. 토양수분가뭄지수(Soil Moisture Drought Index)는 식생에 영향을 주는 가뭄을 판단하기 위한 지표로서 강수량, 기온, 풍속, 습도, 토양물리 특성자료를 바탕으로 산정된다. 본 연구에서 사용한 토양수분가뭄지수는 가뭄 상태를 유효수분백분율의 50%이하일 때로 정의하고, 지속기간(duration), 크기(magnitude), 강도 (severity)의 세 가지 기준을 이용하여 가뭄을 분석하였다. 이 지수는 일별 모의가 가능하고 자연 상태의 가뭄표시, 선행적인 가뭄제시, 단기적인 가뭄평가 이라는 장점을 가진다. 따라서 본 연구에서는 웹 기반 GIS를 이용하여 실시간으로 표준유역 단위별 토양수분가뭄지수를 산정하고 이를 통해 가뭄을 평가할 수 있는 방안을 제시하고자 한다.