• 대한안전경영과학회지
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• 제13권1호
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• pp.1-9
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• 2011

It is a significant issue for several country including Korea, where the natural and the weather conditions are severe, to keep the safety against disasters which occur frequently every year, especially in urban region crowded with population. In order to implement suitable and effective measures against various disasters in such area, development of method for evaluation of disaster prevention performance based on various disaster risks and effective disaster damage mitigation technologies is independable. In this paper, methods for hazard evaluation, vulnerability evaluation and loss evaluation, and damage technologies are proposed targetting man-made disaster and natural one like flood, earthquake and tsunami and so on. The method proposed in this paper is based on the research of USA and Japan for man-made disaster and natural disaster. The proposed method will be developed in detail in four years during research period funded by government.

• 한국농공학회논문집
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• 제54권2호
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• pp.87-94
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• 2012

This study is to evaluate flood inundation and to recommend measures of damage reduction on sediment by concentrated torrential rainfall at Gonjiamcheon Watershed (183.4 $km^2$). Firstly, the SWAT (Soil and Water Assessment Tool) was simulated streamflow and sediment at upstream. Then, we produced a map of floodplain boundary by using HEC-RAS (Hydrologic Engineering Centers River Analysis System) at downstream. The SWAT model was calibrated with 2 years (2008~2009) daily streamflow and validated for another years (2010~2011. 7. 31). The SWAT model was simulated with 3 years (2008~2010) by monthly water quality (Sediment) at Gonjiamcheon water quality station. The streamflow and sediment from SWAT model were input as boundary conditions to HEC-RAS. The results of HEC-RAS indicated that mapping of floodplain boundary was Jiwol and Jiwol 2 district. Additionally, inundation area and depth were assessed and applied BMPs scenario for managing the sediment yield.

• 한국기후변화학회지
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• 제4권4호
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• pp.331-348
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• 2013

기후변화로 인해 우리나라는 이상기후 현상의 빈도와 강도가 증가하고 있으며, 이로 인한 재난재해 피해가 급증하고 있다. 취약성 평가는 환경적, 사회적, 경제적 요인에 취약한 지표를 분석하고, 기후변화로 인한 피해를 방지하고, 적응대책을 수립하기 위해 계속적으로 연구되고 있다. 본 연구에서는 가중치 산정 방법인 회귀분석을 활용한 취약성 평가를 실시하였다. 평가는 전국을 대상으로 홍수에 의한 농경지 침식/침하 취약성, 폭염에 의한 건강 취약성, 가뭄에 의한 산불 취약성 평가를 실시하였다. 이를 위해 각 부문별로 규준 별 지표를 선정한 뒤, GIS 프로그램을 통해 지표를 공간자료 형태로 구축하였다. 그 결과, 폭염에 의한 건강 취약성 평가에서는 기후적인 요인의 영향이 큰 것으로 나타났으며, 산불 취약성과 농경지 침식/침하 취약성 평가에서는 인위적인 요인의 영향이 큰 것으로 나타났다. 이후 가중치를 적용하지 않은 취약성 평가와 비교를 통하여 회귀분석의 효율성을 분석하였다. 본 연구는 회귀분석 방법이 현실적으로 기후변화 적응 대책을 수립하는데 효율성이 있다고 제시하며, 향후 취약성 평가에 활용될 가능성이 있을 것으로 기대된다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2023년도 학술발표회
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• pp.95-95
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• 2023

Common hydrological problems of developing countries include poor data management, insufficient measuring devices and ungauged watersheds, leading to small or unreliable data availability. This has greatly affected the adoption of artificial intelligence techniques for flood risk mitigation and damage control in several developing countries. While climate datasets have recorded resounding applications, but they exhibit more uncertainties than ground-based measurements. To encourage AI adoption in developing countries with small ground-based dataset, we propose data augmentation for regression tasks and compare performance evaluation of different AI models with and without data augmentation. More focus is placed on simple models that offer lesser computational cost and higher accuracy than deeper models that train longer and consume computer resources, which may be insufficient in developing countries. To implement this approach, we modelled and predicted streamflow data of the Asa River Watershed located in Ilorin, Kwara State Nigeria. Results revealed that adequate hyperparameter tuning and proper model selection improve streamflow prediction on small water dataset. This approach can be implemented in data-scarce regions to ensure timely flood intervention and early warning systems are adopted in developing countries.

• 환경영향평가
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• 제15권6호
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• pp.357-372
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• 2006

The excessive land activities in farming can cause soil erosion, inundation by a flood, and fallow. So far land evaluation has been analyzed using the land use limitation derived from the excessive land activities. This study was done for evaluating the agricultural fields by using 3 land use limitations, inundation potential, soil erodibility potential, and fallow potential. The study area is Ibang-myeon, Changnyeong-gun, Gyeongnam-province, Korea. A logistic regression model was applied to recognize the inundation potential by a flood in the Nakdong river basin. And potential soil erodibility index (PSEI) was derived from USLE model to analyze the soil erodibility potential. And a probability model from a logistic regression model was applied to detect the fallow potential. Therefore, we found 220.7ha for the 4th grade and 86.1ha for the 5th grade was analyzed as water damage potential. Large area near Nakdong river have problem to grow the rice due to the damage by water inundation. And 213.6ha for the 3rd grade and 103.3ha for 4th grade was detected as a result of the analysis of soil erosion potential. The soil erosion potential was high when within-field integrity of soil was not stable, or the kinetic energy was high or the slope length was long due to a steep slope of a specific land. And 869.1ha for 3rd grade, 174.9ha for 4th grade, and 110.6ha for 5th grade was detected to be distributed having the fallow potential. Especially, a village, having a steep mountain, had 249.5ha for the 3rd grade, which was 28.7% of total area showing the 3rd grade. Finally, Three villages, including An-ri, Geonam-ri, Songgok-ri, showed they had largest area of the suitable land in the study area. These villages had similar topographic condition where they were far from Nakdong river, and they had relatively higher elevation and flat lands.

• 한국수자원학회논문집
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• 제39권2호
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• pp.139-150
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• 2006

최근 급속한 도시화로 인한 유역 내 불투수 면적의 증가는 자연유역에 비해 짧은 도달시간과 높은 첨두 홍수량을 유발하여 도시홍수 피해의 원인이 되고 있다. 따라서 홍수피해를 저감시키고자 구조물적 또는 비구조물적 홍수방어 대책들을 마련하여 시행하고 있다. 본 연구의 대상유역인 굴포천 유역은 유역 내의 유출 특성이 아닌 하류의 한강 외수위 조건에 의해 잦은 침수 피해가 발생하고 있으며, 이를 예방하고자 폭 20m의 임시 방수로를 폭 80m로 확장할 예정이다. 이에 따라 본 연구에서는 대표적인 도시 유출 모형의 하나인 EPA의 SWMM 모형을 근간으로 하는 XP-SWMM모형을 이용해 굴포천 방수로 확장에 따른 홍수소통능력을 분석하였다. 재현기간 100년인 설계 강우와 동일한 조위 조건 하에서 개수전과 후에 대한 수위와 유량을 비교하였으며, 분석결과 개수전 상황이 개수후에 비해 통과 유량이 1/3임에도 불구하고 비슷하거나 더 높은 수위를 나타내었다. 또한 개수후 상태에서 모의한 결과 방수로 분기점에서 자연 분류시킬 경우 최고 $300m^3/sec$ 가까운 유량이 방수로 방향으로 역류함을 확인할 수 있었다. 따라서 방수로의 안정적 운영을 위해서는 굴포천 하류로부터 방수로로의 역류를 차단하기 위한 수리 시설물의 설치가 필요함을 확인할 수 있었다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2016년도 학술발표회
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• pp.189-189
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• 2016

To generate information that contributes to climate change risk management, it is important to perform a precise assessment on the impact in diverse aspects. Considering this academic necessity, Japanese government launched continuous research project for the climate change impact assessment, and one of the representative project is Program for Risk Information on Climate Change (Sousei Program), Theme D; Precise Impact Assessment on Climate Change (FY2012 ~ FY2016). In this research program, quantitative impact assessments have been doing from a variety of perspectives including natural hazards, water resources, and ecosystems and biodiversity. Especially for the natural hazards aspect, a comprehensive impact assessment has been carried out with the worst-case scenario of typhoons, which cause the most serious weather-related damage in Japan, concerning the frequency and scale of the typhoons as well as accompanying disasters by heavy rainfall, strong winds, high tides, high waves, and landslides. In this presentation, a framework of comprehensive impact assessment with the worst-case scenario under the climate change condition is introduced based on a case study of Theme D in Sousei program There are approx. 25 typhoons annually and around 10 of those approach or make landfall in Japan. The number of typhoons may not change increase in the future, but it is known that a small alteration in the path of a typhoon can have an extremely large impact on the amount of rain and wind Japan receives, and as a result, cause immense damage. Specifically, it is important to assess the impact of a complex disaster including precipitation, strong winds, river overflows, and high tide inundation, simulating how different the damage of Isewan Typhoon (T5915) in 1959 would have been if the typhoon had taken a different path, or how powerful or how much damage it would cause if Isewan Typhoon occurs again in the future when the sea surface water temperature has risen due to climate changes (Pseudo global warming experiment). The research group also predict and assess how the frequency of "100-years return period" disasters and worst-case damage will change in the coming century. As a final goal in this research activity, the natural disaster impact assessment will extend not only Japan but also major rivers in Southeast Asia, with a special focus on floods and inundations.

• 한국산학기술학회논문지
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• 제15권4호
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• pp.2460-2468
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• 2014

본 최근 이상기후 현상으로 인하여 단시간동안 특정지역에 집중되는 국지성호우가 빈번하게 발생하고 있어, 잠재적인 침수재해에 대비하기 위해 적합한 설계빈도를 적용할 필요가 있다. 그러나 하천설계기준을 살펴보면 배수문의 수문설계빈도는 20년 이상으로만 명시되어 그 설계빈도에 대한 기준이 상세하지 않음을 알 수 있다. 하지만 침수피해를 저감하기 위해 외수를 고려한 제내지 침수모의가 수행되어 정량적 평가를 요한다. 내수침수모의는 보통 수리 수문학적 특성을 동시에 고려하여 매우 복잡하고 시간이 오래 소요되었다. 따라서, 본 연구에서는 기 설립된 하천관련 보고서를 이용하여 간단하면서도 단시간에 평가할 수 있는 방법을 제안하였고, 하천의 중류 및 하류에 배수문이 설치된 5개소의 제내지를 대상으로 설계빈도에 따른 9가지 확률강우량을 적용하여 설계빈도 및 위치에 따른 영향을 평가하였다.

• 대한공간정보학회지
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• 제20권3호
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• pp.91-99
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• 2012

진주시는 과거 발생한 태풍 및 집중호우 등으로 피해를 입은 지역을 대상으로 홍수침수위험지구를 8곳 선정하고 이 지역에 대한 대피소를 지정하여 운영하고 있다. 본 연구에서는 침수위험지구 중 시가지에 위치하고 인구밀도가 높은 나불지구와 상평지구를 연구 대상지역으로 선정하였다. 침수재해가 발생할 경우 대피조건을 고려하여 아동, 일반성인, 노약자로 구분하고 이동속도와 도달시간을 계산하여 대피소의 위치에 대한 적합성 평가를 GIS의 네트워크분석을 적용하였다. 그 결과 아동과 노약자의 경우 대피시간이 많이 소요되어 대피소로 대피하는데 적정대피 계획시간을 초과하고 있으며 일부지역은 일반성인도 규정된 대피시간을 초과하는 것으로 나타났다. 따라서 나불, 상평지구에 현재 지정된 대피소의 문제점을 보완할 수 있는 대피소를 1-2개 추가 지정하여 대피시간에 따른 문제점을 개선하였으며, 향후 대피경보발령과 연령별 대피계획을 보다 구체적으로 구축하여 재해발생 시 인적 물적 피해를 줄일 수 있는 대책 마련이 요구된다.

• 대한원격탐사학회지
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• 제36권4호
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• pp.627-635
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• 2020

With the increasing severity of climate change, intense torrential rains are occurring more frequently globally. Flooding due to torrential rain not only causes substantial damage directly, but also via secondary events such as landslides. Therefore, accurate and prompt flood detection is required. Because it is difficult to directly access flooded areas, previous studies have largely used satellite images. Traditionally, water indices such asthe normalized difference water index (NDWI) and modified normalized difference water index (MNDWI) which are based on different optical bands acquired by satellites, are used to detect floods. In addition, as flooding likelihood is greatly influenced by the weather, synthetic aperture radar (SAR) images have also been used, because these are less influenced by weather conditions. In this study, we compared flood areas calculated from SAR images and water indices derived from Landsat-8 images, where the images were acquired at similar times. The flooded area was calculated from Landsat-8 and Sentinel-1 images taken between the end of May and August 2019 at Lijiazhou Island, China, which is located in the Changjiang (Yangtze) River basin and experiences annual floods. As a result, the flooded area calculated using the MNDWI was approximately 21% larger on average than that calculated using the NDWI. In a comparison of flood areas calculated using water indices and SAR intensity images, the flood areas calculated using SAR images tended to be smaller, regardless of the order in which the images were acquired. Because the images were acquired by the two satellites on different dates, we could not directly compare the accuracy of the water-index and SAR data. Nevertheless, this study demonstrates that floods can be detected using both optical and SAR satellite data.