• Journal of the Korean Association of Geographic Information Studies
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• v.6 no.3
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• pp.33-42
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• 2003

As airborne laser scanning technique is developed with high vertical accuracy recently, there come many studies on DEM(digital elevation model creation, building extraction, flood risk mapping and 3D virtual city modeling. This study applied point comparative method, contour comparative method and digital map with scale 1/5,000 to calculate RMSE of DEM in according to resolution that was constructed using rawdata being acquired by airborne laser scanning. As a result, point comparative method showed lower DEM standard error than contour comparative method, it is a reason that contour comparative method was not carried out detailed grid calculation for point comparative method. Also, digital map with scale 1/5,000 showed higher DEM standard error than point comparative method and contour comparative method in below 25.4m that is average horizontal distance among contour line, and showed similar result with contour comparative method in over 25.4m.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.6B
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• pp.515-522
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• 2011

The hydrodynamic models are widely used in the research for analysis of flow characteristics and design of hydraulic structure and river channel. These models need to be calibrated with observed data. But, there are few field data of two-dimensional flow velocity in flood because the direct measurement of the flood flow velocity are very dangerous. For this reason the results of two-dimensional numerical models are usually calibrated and verified with only a few observed data. Moreover, the verification of numerical models for the design flood is usually carried out using the result of one-dimensional model, HEC-RAS. In this study, using the flow velocity profile extracted from the aerial photos of a flood of the Tone River in Japan, two-dimensional numerical models, RAM2 in RAMS, RMA2 in SMS, and one-dimensional numerical model, HEC-RAS which are most widely used in research and design work are verified and the validity for verification of two-dimensional models with HEC-RAS is reviewed. The results showed that the water surface elevation of HEC-RAS, RAM2 and RMA2 models have similar results with observed data. But, the velocity results of RAM2 and RMA2 models in the floodplain have some difference with the velocity from aerial photo analysis. And the velocity result of HEC-RAS has big difference with the sectional averaged value of velocity from aerial photo analysis.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.3
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• pp.937-945
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• 2013

The accuracy of flood inundation maps is determined by the uncertainty propagated from all variables involved in the overall process including input data, model parameters and modeling approaches. This study investigated the uncertainty arising from key variables (flow condition and Manning's n) among model variables in flood inundation mapping for the Missouri River near Boonville, Missouri, USA. Methodology of this study involves the generalized likelihood uncertainty estimation (GLUE) to quantify the uncertainty bounds of flood inundation area. Uncertainty bounds in the GLUE procedure are evaluated by selecting two likelihood functions, which is two statistic (inverse of sum of squared error (1/SAE) and inverse of sum of absolute error (1/SSE)) based on an observed water surface elevation and simulated water surface elevations. The results from GLUE show that likelihood measure based on 1/SSE is more sensitive on observation than likelihood measure based on 1/SAE, and that the uncertainty propagated from two variables produces an uncertainty bound of about 2% in the inundation area compared to observed inundation. Based on the results obtained form this study, it is expected that this study will be useful to identify the characteristic of flood.

• 한국공간정보시스템학회:학술대회논문집
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• 2007.06a
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• pp.424-429
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• 2007

침수 피해를 방지하고 경감하기 위해서는 침수범위와 침수심을 예측하여 예상침수심에 대응하기 위한 홍수방어대책 수립이 필요하다. 본 연구는 방어침수심보다 아래에 위치한 건축물에 대해서 거실용도로 사용을 제한하는 수방기준을 마련했을 경우에 대하여 비용편익 분석을 통한 경제성 분석을 수행하고자 한다. 한편, 침수지역 및 침수심 산정을 위하여서는 GIS를 이용한 분석이 필요하며, GIS 분석을 통하여 산정된 결과를 바탕으로 건물피해액과 건물내용물에 대한 피해액을 산정할 수 있다. 적용과정에서 현재 서울시에서 구축되어진 데이터 구축 자료의 특성에 맞게 다차원법에서 제시한 일부 방법들을 수정하였다. 본 연구 결과 방어침수심의 설정을 통해 건축물에 대한 홍수피해를 방지하고, 주민의 보호 등을 포함한 침수피해방지대책 계획 수립에 이용할 수 있을 것으로 판단된다.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2002.10a
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• pp.289-292
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• 2002

In this study, a topography based hydrologic model (TOPMODEL) was tested on the Anseong-cheon watershed. Pit in watershed was removed by liner trend surface interpolator. The DTM Analysis program is used to derived a distribution of ln($a/tan{\beta}$) values from DEM (Digital Elevation Model) using the MDF (Multiple Direction Flow) algorithm of Quinn et al (1995). Current TOPMODEL program limits are number of time step, ln($a/tan{\beta}$) increment, delay histogram ordinate and size of subcatchment pixel maps. Therefore, TOPMODEL is not suitable for application of large watershed. Muskingum method and watershed division enhance grid pixel resolution for rainfall-runoff simulation accuracy.

• Ocean and Polar Research
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• v.30 no.3
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• pp.239-247
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• 2008

Spatial distribution of water flow generated by tidal current was investigated within a Zostera marina(seagrass) bed in Wonpo Bay. Water flow and elevation were observed during the seagrass growing season. The spatial distribution of water flow was numerically estimated using roughness coefficient. Water flow inside the seagrass meadow was compared with the observed values. Velocity in Zostera marina vegetated areas was approximately $25{\sim}84%$ lower than that of unvegetated areas. However, flow direction was the same. Intensity of the flood tide diminished appreciably within the seagrass bed, while its pattern was also affected. It is therefore concluded that water flow is influenced by Zostera marina meadows.

• Journal of Industrial Technology
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• v.30 no.B
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• pp.91-98
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• 2010

Recently, there has been enormous damage due to river floodings caused by localized heavy rains. The direct discharge triggered by those torrential rains inflicts severe property damage on the residents of nearby areas. To minimize the possibility of river floodings in case of heavy rains and to predict the possible damage, the management of existing rainfall and water level observatories should be checked and prediction methods based on the characteristics of water usage and floodgate of nearby rivers must be further analyzed. Therefore, this research analyzed the water level change predictions on different spots with a regression equation of rainfall and water levels, using the observation data of the water level observatory in Jeongseon-gun, Gangwon Province and the rainfall observatory which are located on the upper region of the Han river.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.6 no.4
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• pp.69-78
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• 1986

The floodwave propagation resulting from the earth dam-break is studied. DBF(Dam-Break Floodwave) model based on the dynamic wave equation is presented by introducing Preissmann scheme and double sweep algorithm. DBF model is applied to the Teton dam, and the numerical results have good agreements with the data observed in the peak elevation profile, the peak discharge, the flood travel time and the flooded area.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.06a
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• pp.471-476
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• 2008

도시지역의 침수피해를 방지하기 위해서는 침수범위와 침수심을 예측하여 예상 침수심에 대응하기 위한 방어대책을 수립하여야 한다. 한편 이러한 침수범위와 침수심을 예측하는 방법은 대상지역의 특성 및 지리적 여건 등에 따라 달라지며 가용자료에 따라 달라진다. 본 연구에서는 도시지역의 특성에 따른 침수대책의 기준이 되는 방어침수위 설정방법을 GIS 분석을 통하여 비교분석하였다. 방어침수위 설정방법은 과거 침수실적을 이용하는 방법 인근하천의 계획홍수위를 연장하는 방법, 하천의 임계지속기간과 소유역의 임계지속기간에 대한 강우빈도별 시나리오 분석에 의한 내수침수를 모의하는 방법 등의 네가지 방법을 서울시 중랑천 연변의 장안배수분구에 해하여 적용하였다. 분석결과 인접하천의 계획홍수위를 단순연장하는 방법을 제외하고는 다소의 차이는 있으나 대체로 유사한 결과를 보였다. 침수원인이 내수침수에 의한 지역일 경우에는 방어침수위로 침수실적자료를 이용한 과거 최대침수위를 적용하거나, 인근하천의 계획홍수량을 발생시키는 강우사상에 대한 내수침수 모의결과를 적용하는 것이 합리적일 것으로 판단된다.

• Journal of Korea Water Resources Association
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• v.57 no.3
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• pp.181-193
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• 2024

The increasing atmospheric imbalance caused by climate change leads to an elevation in precipitation, resulting in a heightened frequency of flooding. Consequently, there is a growing need for technology to detect and monitor these occurrences, especially as the frequency of flooding events rises. To minimize flood damage, continuous monitoring is essential, and flood areas can be detected by the Synthetic Aperture Radar (SAR) imagery, which is not affected by climate conditions. The observed data undergoes a preprocessing step, utilizing a median filter to reduce noise. Classification techniques were employed to classify water bodies and non-water bodies, with the aim of evaluating the effectiveness of each method in flood detection. In this study, the Otsu method and Support Vector Machine (SVM) technique were utilized for the classification of water bodies and non-water bodies. The overall performance of the models was assessed using a Confusion Matrix. The suitability of flood detection was evaluated by comparing the Otsu method, an optimal threshold-based classifier, with SVM, a machine learning technique that minimizes misclassifications through training. The Otsu method demonstrated suitability in delineating boundaries between water and non-water bodies but exhibited a higher rate of misclassifications due to the influence of mixed substances. Conversely, the use of SVM resulted in a lower false positive rate and proved less sensitive to mixed substances. Consequently, SVM exhibited higher accuracy under conditions excluding flooding. While the Otsu method showed slightly higher accuracy in flood conditions compared to SVM, the difference in accuracy was less than 5% (Otsu: 0.93, SVM: 0.90). However, in pre-flooding and post-flooding conditions, the accuracy difference was more than 15%, indicating that SVM is more suitable for water body and flood detection (Otsu: 0.77, SVM: 0.92). Based on the findings of this study, it is anticipated that more accurate detection of water bodies and floods could contribute to minimizing flood-related damages and losses.