• Journal of the Society of Disaster Information
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• v.11 no.1
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• pp.107-119
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• 2015

The flood or inundation that occur in high-density city can paralyze urban functions and cause a lot of casualties. In this study, to minimize the damage, the disaster mitigating urban design techniques for the divided basin as disaster occurring point, disaster vulnerable site, urban responding region are applied. First of all, to do this, it is necessary to verify the effectiveness of urban design techniques by simulating them. Therefore, in this paper, the applicability of urban runoff models used in domestic disaster reduction study was investigated to analyze the outflow decrease efficiency of urban design techniques. As the reviewing results, the limitations of the lumped models such as FFC2Q and XP-SWMM are presented.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2005.05a
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• pp.93-97
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• 2005

People can't be free from the panic of flood, war and terrorism which could be fatal for people's life and property in modern society. It is the most important thing that provide food and residence for suffers in disaster areas. When disaster occurred, the emergency public facilities would be the first place that the people stay. However, these also could be destroyed by disaster. In that case, emergency tents or containers could be the major residence for disaster suffers. Because the only concern for planning temporary residence is the matter of supply and efficiency, it is no longer useful after the disaster end. Therefore, temporary residence as well as general residence should be on the basis of social and cultural factors as well as basic and physiological factors. It is very crucial to study the model of temporary residence. It could be the fundamental and necessary for the human being in order to prepare the natural disaster and grand scale accident. The main purpose for this study is examining the temporary residence that satisfy the fundamental, social and cultural factors for disaster sufferers.

• Journal of Korea Water Resources Association
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• v.44 no.7
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• pp.523-536
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• 2011

The objective of this study is to develop the data driven model for the flood forecasting that are improved the problems of the existing hydrological model for flood forecasting in medium and small streams. Neuro-Fuzzy flood forecasting model which linked the Takagi-Sugeno fuzzy inference theory with neural network, that can forecast flood only by using the rainfall and flood level and discharge data without using lots of physical data that are necessary in existing hydrological rainfall-runoff model is established. The accuracy of flood forecasting using this model is determined by temporal distribution and number of used rainfall and water level as input data. So first of all, the various combinations of input data were constructed by using rainfall and water level to select optimal input data combination for applying Neuro-Fuzzy flood forecasting model. The forecasting results of each combination are compared and optimal input data combination for real-time flood forecasting is determined.

• 한국방재학회:학술대회논문집
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• 2008.02a
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• pp.743-746
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• 2008

Recently, due to the effect of global warming and extreme rainfall, the magnitude of flood disaster and the frequency of flood is rapidly increasing. In order to mitigate the damage of human and property from this kind of meteorological phenomenon and manage water resources scientifically, effective operation of dam and reservoir is very important. In case of Andong dam which was not performed a flood control function needs to develop new types of dam safety management measure because of recent extraordinary flood by typhoons. In case of Andong dam and Imha dam, I am using HEC-5 model in order to apply reservoir simulation. In this case, complex conditions among 100-year floods , 200-year floods and PMF was used. Also, I modified the maximum outflow 3,800m3/s into 3,490m3/s and applied this modified discharge in order to secure freeboard in the downstream. In an analysis that I applied modified outflow by 100-year floods and 200-year floods to, the result showed that river didn't overflow in Andong area but some other places have relatively low freeboard. In the cases that I modified maximum outflow, results showed that freeboard of levee is larger than existed simulation. In the simulation that I applied 200-year floods and PMF to and under a condition connected with PMF, results showed overflowing the levees. Because of the difference between the frequency of dam outflow and the design flood in river, it is required to improve the existed flood plan in the downstream of Andong dam. As a result of this study, the optimal operation of reservoir systems can be proposed to mitigate the flood damage in the downstream of Andong dam and also can be used to establish the flood plans.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2015.11a
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• pp.209-211
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• 2015

최근 지구온난화와 기후변화에 의한 가뭄과 홍수의 발생빈도가 증가하고 있는 상황이며 기후변화에 의한 재해는 사회시설과 국민생활에 직접적, 간접적 영향을 미칠 수 있기 때문에 전세계적으로 홍수에 관한 다양한 연구가 진행중에 있다. 본 논문에서는 홍수의 정확한 구조적 대책을 수립하기 위해 공간정보를 활용하여 FLO-2D를 이용한 홍수 범람 모의를 실시하고 그 결과를 토대로 ILWIS를 이용한 홍수 리스크 분석을 실시하였다.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2017.11a
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• pp.115-116
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• 2017

본 논문에서는 최근 충청지역의 농촌마을에 발생한 수해 피해 현황을 살펴보았고 그 중 천안시 ${\bigcirc}{\bigcirc}$리 마을 실태조사를 실시하여 피해유형 및 특성을 분석하였다. 이를 바탕으로 농촌지역 수해 피해유형에 따른 재난안전시설 설치 방향 및 개선방안을 검토하였다.

• Journal of Korean Society of Disaster and Security
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• v.13 no.2
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• pp.53-63
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• 2020

In this study, the two-dimensional flow analysis model Hydro_AS-2D model was used to simulate the situation of flooding in Seongsangu and Uichang-gu in Changwon in the event of rising sea levels and extreme flooding, and the results were expressed on three-dimensional topography and the optimal evacuation path was derived using BIM technology. Climate change significantly affects two factors in terms of flood damage: rising sea levels and increasing extreme rainfall ideas. The rise in sea level itself can not only have the effect of flooding coastal areas and causing flooding, but it also raises the base flood level of the stream, causing the rise of the flood level throughout the stream. In this study, the rise of sea level by climate change, the rise of sea level by storm tidal wave by typhoon, and the extreme rainfall by typhoon were set as simulated conditions. The three-dimensional spatial information of the entire basin was constructed using the information of topographical space in Changwon and the information of the river crossing in the basic plan for river refurbishment. Using BIM technology, the target area was constructed as a three-dimensional urban information model that had information such as the building's height and location of the shelter on top of the three-dimensional topographical information, and the results of the numerical model were expressed on this model and used for analysis for evacuation planning. In the event of flooding, the escape route is determined by an algorithm that sets the path to the shelter according to changes in the inundation range over time, and the set path is expressed on intuitive three-dimensional spatial information and provided to the user.

• Journal of the Society of Disaster Information
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• v.11 no.3
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• pp.436-445
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• 2015

A flood loss estimation toolbox was developed within GIS software. This toolbox is for anyone who is interested in the flood loss estimation, and uses data accessible to public. In particular, the loss estimation framework in the toolbox is distinct in that the inventory items are individually dealt with. The toolbox was applied to estimate the economic loss from a levee failure event in 2002. The estimated loss was a little larger than the reported value. The difference is probably due to the asset values and the damage functions for each inventory item, which have to be updated.

• Electronics and Telecommunications Trends
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• v.35 no.1
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• pp.80-88
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• 2020

This paper describes the development trends and service provision examples of disaster occurrence and spread prediction technology for various disasters such as tsunamis, floods, and fires. In terms of fires, we introduce the WIFIRE system, which predicts the spread of large forest fires in the United States, and the Metro21: Smart Cities Institute project, which predicts the risk of building fires. This paper describes the development trends in tsunami prediction technology in the United States and Japan using artificial intelligence (AI) to predict the occurrence and size of tsunamis that cause great damage to coastal cities in Japan, Indonesia, and the United States. In addition, it introduces the NOAA big data platform built for natural disaster prediction, considering that the use of big data is very important for AI-based disaster prediction. In addition, Google's flood forecasting system, domestic and overseas earthquake early warning system development, and service delivery cases will be introduced.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2006.04a
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• pp.527-531
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• 2006

Recently, the development project is conducting disaster effect estimation to breed disaster, and cope these disaster beforehand provoking soil erosion and flood. Therefore, it is became important to analysis and reduce of these disaster. In this study, receive value of LS and C factor of soil erosion through the digital image. The method of photogrammetry was employed for the efficient surveying and analysis of cutting slope using Remote Control Helicopter installed with a nonmetric digital camera. As a result, we obtain more objectivity value of soil erosion factor using digital image analysis.