• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.3
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• pp.273-283
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• 2020

Because of climate change, the occurrence of localized and heavy rainfall is increasing. It is important to predict floods in urban areas that have suffered inundation in the past. For flood prediction, not only numerical analysis models but also machine learning-based models can be applied. The LSTM (Long Short-Term Memory) neural network used in this study is appropriate for sequence data, but it demands a lot of data. However, rainfall that causes flooding does not appear every year in a single urban basin, meaning it is difficult to collect enough data for deep learning. Therefore, in addition to the rainfall observed in the study area, the observed rainfall in another urban basin was applied in the predictive model. The LSTM neural network was used for predicting the total overflow, and the result of the SWMM (Storm Water Management Model) was applied as target data. The prediction of the inundation map was performed by using logistic regression; the independent variable was the total overflow and the dependent variable was the presence or absence of flooding in each grid. The dependent variable of logistic regression was collected through the simulation results of a two-dimensional flood model. The input data of the two-dimensional flood model were the overflow at each manhole calculated by the SWMM. According to the LSTM neural network parameters, the prediction results of total overflow were compared. Four predictive models were used in this study depending on the parameter of the LSTM. The average RMSE (Root Mean Square Error) for verification and testing was 1.4279 ㎥/s, 1.0079 ㎥/s for the four LSTM models. The minimum RMSE of the verification and testing was calculated as 1.1655 ㎥/s and 0.8797 ㎥/s. It was confirmed that the total overflow can be predicted similarly to the SWMM simulation results. The prediction of inundation extent was performed by linking the logistic regression with the results of the LSTM neural network, and the maximum area fitness was 97.33 % when more than 0.5 m depth was considered. The methodology presented in this study would be helpful in improving urban flood response based on deep learning methodology.

• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.4
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• pp.155-164
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• 2005

The coast has been known as very vulnerable area. This area has nature disasters such as typhoon, tidal wave, flood and storm almost every year. In this study, coast vulnerable area information management system was developed to manage the coastal facilities and vulnerable area through Web GIS. This system is able to visualize the damage area and support the official work related to coast as efficient DSS(Decision Supporting System). Moreover, the foundation for domestic coast information management is expected by acquiring less cost and time. For this, GIS DB was first constructed by acquiring damage factor data such as typhoon, tidal wave, flood and storm. Then GIS analysis methods and high resolution satellite images are used to possibly present the results of retrieve as table, map, graph, inundation simulation in real time.

• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.2
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• pp.136-144
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• 2005

GIS analyzes various topographic feature in three dimensions using triangulated irregular network (TIN). This paper proposed a method that can analyze topographic features effectively in three dimensions. Method developed in this study can calculate earth-volume, the inundation volume, storage volume etc, effectively. We could reduce error than existing volume calculation methods in computing volume in addition to water level's change about each. Also, the develop method can improve accuracy in measuring the storage of reservoirs. Main result of this paper id to develop a efficient calculation method using contour and elevation data on digital map.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.24 no.3
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• pp.299-309
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• 2006

In recent years, a large natural disasters have occurred due to worldwide abnormal weather and the amount of damage has been increased more resulting from high density population and a large-sized buildings of the urbanized area. In this study. we estimate the flooded area according to rainfall probability intensify and sea level in Woreong dong, Masan occurred flood damages by typhoon Maemi using SWMM, a dynamic rainfall-runoff simulation model in urban area, and then analyze the damage of flood expected area through connecting with GIS database. In result, we can predict accurately expected area of inundation according to the rainfall intensity and sea level rise through dividing the study area into sub-area and estimating a flooded area and height using SWMM. We provide also the shelter information available for urban planning and flood risk estimation by landuse in expected flood area. Further research for hazard management system construction linked with web or wireless communication technology expects to increase its application.

• Proceedings of the KSRS Conference
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• v.1
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• pp.52-55
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• 2006

It's used to be said that tsunami is a rare event. The recurrence time of tsunami in Sumatra area is approximately 230 years as CalTech Research Group‘s study from paleocoral. However, the tsunami occurred in Indian Ocean on 26 December 2004, 28 March 2005 and 17 July 2006, because the earthquakes still release the energy. To cope with the tsunami disaster, we have to put the much effort on better disaster preparedness. The Tsunami Reduction Of Impacts through three Key Actions (TROIKA) was suggested by Eddie N. Bernard, the director of NOAA/PMEL (Pacific Marine Environmental Laboratory). They are Hazard Assessment, Mitigation and Warning Guidance. The satellite remote sensing has potential on these actions. The medium and high resolution satellite data were used to assess the degree of damage at the six-damaged provinces on the Andaman seacoast of Thailand. Fast and reliable interpretation of the damage by remote sensing method can be used for inundation mapping, rehabilitation and housing plans for the victims. For tsunami mitigation, the satellite data can be used with GIS to construct the evacuation map (evacuation route and refuge site) and coastal zone management. It is also helpful for educational program for local residents and school systems. Tsunami is a kind of ocean wave, therefore any satellite sensors such as SAR, Altimeter, MODIS, Landsat, SPOT, IKONOS can detect the tsunami wave in 2004. The satellite images have shown the characteristics of tsunami wave approaching the coast. For warning, satellite data has potential for early warning to detect the tsunami wave in deep ocean, if there are enough satellite constellation to monitor and detect the first tsunami wave like the pressure gauge, seismograph and tide gauge with the DART buoy can do. Moreover, the new methods should be developed to analyse the satellite data more faster for early warning procedure.

• Proceedings of the Korea Contents Association Conference
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• 2010.05a
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• pp.277-280
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• 2010

The prevention of disasters is important to prepare in advance through analysis and an estimate. But for all the efforts of the government to stave off disasters, the damage out of a guerilla localized heavy rain caused the global warming, a landslide and inundation is growing. To prevent these damages, the basic data and system through systematic research and analysis should be set up. But it is true that collecting of the basic data and the system for preventing disasters are either constructing or insufficient so far. In this research, by using topography spatial data including LiDAR data including the aerial photo and digital maps, and etc. the factor of a disaster, the disaster risk element was extracted. Moreover, the disaster region about the disaster generation available region was evaluated in advance using the easy disaster analysis of current situation photo map which made with the grid analysis method and weighted value estimate technique.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.21 no.2
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• pp.181-189
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• 2003

A virtual flood scenario has been constructed to investigate the overflowing process in the flooding area. The topography is constructed using the airborne LIDAR data. In addition, the frequency and scale of the flooding and the destruction condition of the flooding defensive structure are used as input to the scenarios. Through the scenario, the inundation depth with respect to time and maximum depth has been analyzed. This analysis shows the water level variation with time which show the flooding process. Moreover, a flooding map is drawn using the results from the scenario, distribution of the defensive structure, vulnerable area, and expected destruction points in the study area. It is expected that this study can be effectively used to examine the flooding process and flood disaster management. Furthermore, it could provide important basic information for the land development and the city planning of a possible flooding area.

• The Journal of the Petrological Society of Korea
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• v.26 no.1
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• pp.55-62
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• 2017

A Lahar on the volcanic area is one of the important hazard that can cause the loss of life and property damage. In order to estimate lahar hazard area at Ulleung Island, we simulated lahar inundation area using Laharz_py. We assumed 400 m of additional elevation for DEM to draw proximal hazard zone of Ulleung Island that H/L ratio were selected 0.45 and 0.5. And lahar volumes for simulation were estimated to 30,000, 50,000, 70,000, $100,000m^3$, respectively. In the results, 5 streams are located near a proximal hazard zone, Jeodong (east), Sadong and Okchon (southeast), Namyang (southwest), and Chusan (north), Nari basin is also considered that has a possibility of lahar during downpour. The results of this study can be used as basic data to make a hazard map for reduce the damage that can be caused by volcanic hazards occurred on Ulleung Island.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.147-147
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• 2012

댐 및 제방 등의 수공구조물 붕괴에 의한 극한홍수 전파를 해석하기 위한 2차원 홍수 해석기법에는 현재까지 다양한 기법들이 개발되어 왔고 다양한 모형들이 상용화 또는 범용화 되고 있다. 그 중 흐름의 전파양상을 정확하게 반영할 수 있는 상류이송기법인 Godunov형태의 유한체적기법은 충격파와 같은 불연속적인 해를 가지는 문제를 정확히 해석할 수 있고, 비구조적 격자 사용의 용이성 등의 장점 때문에 2차원 홍수파 전파 해석에 있어서 최근 십수년간 가장 활발하게 연구되어왔다. 하지만 이러한 기법은 양해법을 근간으로 하는 해석 기법으로써, 계산거리의 간격이나 계산시간의 간격, 격자망의 구성 등 엄격한 제한이 필요하다. 특히 방대한 계산시간을 요구하는 기법의 약점은 홍수예 경보 등을 위한 실시간 모형의 구동에 있어서 큰 제약이 되어 왔다. CPU의 성능이 지속적으로 발전하면서 이러한 문제는 점차 극복되어 왔으나, 발열 등의 문제와 이를 극복하기 위한 멀티코어의 등장으로 인해 단일 코어의 성능개발은 매우 더딘 것이 사실이다. 현재까지 연구되고 개발되어 온 모형들은 특별한 처리 없이는 단일 코어만을 사용하여 계산할 수 밖에 없기 때문에 멀티코어의 장점을 전혀 이용할 수 없다. 이러한 점을 극복하기 위해 프로그램을 병렬화하여 단일 문제에 대해 멀티코어를 사용할 수 있다면 계산시간 단축에 큰 효과를 거둘 수 있을 것이다. 현재까지 IT분야에서 다양한 병렬프로그래밍 기법들이 개발되고 소개되어 왔다. 본 연구에서는 병렬프로그래밍 기법중 가장 널리 사용되고 있는 MPI(Message Passing Interface)기법을 적용함으로써 기 개발된 고정확도 유한체적모형을 병렬화 하여 계산시간을 단축하고자 하였다. 개발된 모형을 장애물이 존재하는 실험하도의 댐 붕괴 문제와 2002년 태풍 루사 시 큰 피해를 입은 강릉시 일원의 섬석천 유역에 위치한 장현저수지와 동막저수지의 붕괴사례에 대해 적용하였다. 모형을 코어 개수별로 다양하게 모의함으로써 기존모형과의 결과에 대한 일치성을 확인하였고, 기존 모형 대비 계산시간 단축의 효과를 입증할 수 있었다. 개발된 본 모형을 실시간 홍수범람해석을 위한 시스템으로 구축할 수 있다면, 실시간 홍수예 경보에 있어 주요지점에서의 수위해석 뿐만이 아닌 제내지 범람 예보 분야까지 확대 적용할 수 있을 것으로 사료된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.278-278
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• 2018

현재 우리나라에서는 행정안전부의 풍수해저감종합계획, 사전재해영향성검토협의, 재해위험지구개선사업 등에 해외에서 개발된 상용프로그램이 사용돼 접근성 저하로 인해 지자체 방재담당자의 실무나 대학에서 연구용으로 다루기에는 한계가 있다. 이에 본 연구에서는 내수침수, 외수침수, 2차원 침수해석으로 구성하여 GUI 기능을 강화한 통합침수재해지도 작성시스템(i-FIM, Integrated Flood Inundation Modeling system)을 개발하여 입력자료의 구성 및 매개변수의 수정이 용이하게 함으로써 하수관망 등에 부분적인 설계 변경이 있는 경우 지자체 방재담당자가 간단한 작업을 통해 침수영향 변화를 쉽게 파악할 수 있도록 하였다. 또한, 상세한 지형의 반영이 필요한 도시지역의 2차원 침수해석의 경우 계산격자 망의 크기가 작아질수록 소요되는 계산시간이 기하급수적으로 증가하는 한계가 있어 i-FIM에서는 계산격자를 $2{\times}2$, $3{\times}3$, $5{\times}5$ Subgrid 형태의 격자를 적용하고, 병렬프로그래밍과 계산시간조정 기능을 추가하여 2차원 침수해석 모형의 계산 속도를 향상시켰다. 이를 실무에 적용하기 앞서 2006년 집중호우로 인해 안성시에서 발생한 제방 붕괴사상, 2016년 태풍 차바로 인해 울산시에서 발생한 제방 월류 사상을 통해 침수흔적도와 비교하여 검증을 실시하였다. i-FIM에서 최종적인 2차원 침수해석 결과는 2017년에 개정된 '재해지도 작성 기준 등에 관한 지침'의 침수심 등급 구분의 색채 설정에 따라 각 격자별 침수심을 표출함으로써 표준화된 재해지도 작성이 가능하도록 하였다. 또한, 포털사이트의 지도 및 위성지도에 표출함으로써 침수 위험이 발생할 수 있는 지역의 현재 이용 용도를 파악하여 침수재해에 대한 상세한 대책을 마련할 수 있을 것으로 판단된다.