• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.294-294
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• 2019

The system for predicting flood of river at Flood Control Office is made up of a rainfall-runoff model and FLDWAV model. This system is mainly operating to predict the excess of the flood watch or warning level at flood forecast points. As the demand for information of the management and operation of riverside, which is being used as a waterfront area such as parks, camping sites, and bike paths, high-level forecasts of watch and warning at certain points are required as well as production of lowland flood forecast information that is used as a waterfront within the river. In this study, a technology to produce flood forecast information in lowland areas of the river used as a waterfront was developed. Based on the results of the 1D hydraulic analysis, a model for performing spatial operations based on high resolution grid was constructed. A model was constructed for Andong district, and the inundation conditions and level were analyzed through a virtual outflow scenarios of Andong and Imha Dam.

• Journal of Korea Water Resources Association
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• v.55 no.12
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• pp.1091-1104
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• 2022

Climate change is predicted to increase the frequency and intensity of rainfall worldwide, and the pattern is changing due to inundation damage in urban areas due to rapid urbanization and industrialization. Accordingly, the impact assessment of climate change is mentioned as a very important factor in urban planning, and the World Meteorological Organization (WMO) is emphasizing the need for an impact forecast that considers the social and economic impacts that may arise from meteorological phenomena. In particular, in terms of traffic, the degradation of transport systems due to urban flooding is the most detrimental factor to society and is estimated to be around £100k per hour per major road affected. However, in the case of Korea, even if accurate forecasts and special warnings on the occurrence of meteorological disasters are currently provided, the effects are not properly conveyed. Therefore, in this study, high-resolution analysis and hydrological factors of each area are reflected in order to suggest the depth of flooding of urban floods and to cope with the damage that may affect vehicles, and the degree of flooding caused by rainfall and its effect on vehicle operation are investigated. decided it was necessary. Therefore, the calculation formula of rainfall-immersion depth-vehicle speed is presented using various machine learning techniques rather than simple linear regression. In addition, by applying the climate change scenario to the rainfall-inundation depth-vehicle speed calculation formula, it predicts the flooding of urban rivers during heavy rain, and evaluates possible traffic network disturbances due to road inundation considering the impact of future climate change. We want to develop technology for use in traffic flow planning.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2016.11a
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• pp.297-298
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• 2016

최근 들어 지구온난화에 따른 이상기후과 집중호우 그리고 급격한 도시화로 예측하기 어려운 수문현상의 변화가 생기고 있다. 특히 최근 기후변화로 인해 돌발성 집중호우가 짧은 시간에 집중하게 되면 수위가 급상승하게 되어 많은 재해를 유발시키는 일이 늘어나고 있다. 따라서 본 연구는 집중호우로 피해가 빈번하게 발생하는 하천주변의 홍수피해지역을 분석하였으며, 대상 지역으로는 경기도 포천시 군내면에 위치한 포천천과 좌의천이 합류되는 지점에 침수가 발생한 공장을 대상지역으로 선정하였다. 수리 수문분석을 위해 FastTABS 모형을 이용하였으며, 피해발생 후 측량한 수위 등을 이용하여 분석하였다. 당시 침수피해 상황에 대하여 수리 수문학적인 측면에서 피해 원인분석을 하였으며, 본 연구에서 제시한 결과는 향후 호우피해에 관한 기초자료로 활용될 것으로 판단된다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.86-88
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• 2018

스마트시티 개념의 등장과 함께 국민의 삶의 질에 대한 정부의 관심이 증가하고 있다. 국민의 삶의 질을 향상시키는 것은 하수도와 같은 도시기반시설이며, 정부에서는 이를 지속적으로 유지관리 하여 주거환경 개선, 공중위생관리, 침수방지 등을 위해 노력하고 있다. 최근에는 하수시설의 노후화 와 서비스 범위의 변화에 따른 하수 서비스 품질에 대해 국민적 관심이 증가하고 있다. 또한 급격한 기후변화에 따른 도시 침수와 같은 재해가 빈번하게 발생함에 따라 재난 관리 측면에서도 하수도는 매우 중요한 비중을 차지하고 있다. 본 논문에서는 모바일 디바이스와 IoT 기술을 활용하여 하수시설 모니터링 시스템을 설계하였다. 제시하고 있는 시스템은 하수시설의 데이터를 수집하고 모바일 어플리케이션을 통해 사용자에게 알려준다.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.362-362
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• 2022

최근 급증하는 이상기후의 영향으로 인하여 소규모 산지 지역의 돌발홍수 발생 빈도가 증가하고 있으며, 이로 인하여 물적 및 인적 피해가 증대되고 있다. 이에 다양한 재해 저감 대책 마련을 수립하고 있으나 소규모 산지 유역 같은 경우 계곡 및 하천부는 제방 증고 및 하상 정리 등과 같은 인위적인 대책수립이 어려운 실정이다. 따라서 본 연구에서는 충북 지역의 소규모 산지 유역 중 우암산 및 백화산을 대상으로 유역 내 계곡 및 하천부에 대하여 WMS (Watershed Modeling System) 강우 유출모형을 활용한 침수 위험도 평가를 수행하였다. 분석 결과, 우암산 및 백화산 소유역에서 재현빈도 50년 이상의 강우 발생 시, 침수가 발생하는 것으로 모의 되었으며, 등산객이 이용하는 등산로 및 시설물에 위험성이 높게 나타남을 확인하였다. 본 연구결과를 통하여 소규모 산지 유역에 대한 위험성을 정량적으로 제시하였으며, 이를 바탕으로 향후 안전한 관리 방향을 제시하고자 한다.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.4
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• pp.127-133
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• 2010

In the ocean area surrounding the Korean Peninsula, the undersea earthquakes have occurred frequently during last decades. The eastern coast of the Korean Peninsula is very vulnerable to tsunami attacks which occur along the Western Coast of Japan. In special, the middle areas of the eastern coast of Korean Peninsula have been damaged due to the Central East Sea Tsunami occurred in 1983. Thus, tsunami hazard mitigation becomes an important issue at eastern coastal communities. The countermeasures against unexpected tsunami attacks are not sufficient because the government policy generally focused on not preventing but recovering. In this paper, a hazard map based on the field survey and tsunami evacuation simulation is developed to mitigate tsunami damage at Imwon port, which was severely damaged during the 1983 Central East Sea Tsunami.

• Journal of Korea Port Economic Association
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• v.29 no.4
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• pp.289-323
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• 2013

This study set out to estimate and compare benefits of damage in case of storm surge at the Masan Port by using two of the most representative methodologies used to estimate benefits in port disaster prevention facility construction, namely CVM(contingent valuation method), which estimates the values of non-market goods, and MD-FDA(multi-dimensional flood damage analysis), which had usually been implemented in flood or dam projects. The benefit estimation for 30 years of costs was 2.5689 trillion won for CVM and 2.9596 trillion won for MD-FDA, which indicates that there was no big difference in benefits among disaster prevention facilities. However, in-depth testing should follow to figure out whether MD-FDA can replace CVM, which has been tested with non-market goods, when estimating the benefits of disaster prevention facilities based on those findings.

• Journal of Korea Water Resources Association
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• v.56 no.11
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• pp.751-764
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• 2023

Gangwon State is centered on the Taebaek Mountains with very different climate characteristics depending on the region, and localized heavy rainfall is a frequent occurrence. Heavy rain disasters have a short duration and high spatial and temporal variability, causing many casualties and property damage. In the last 10 years (2012~2021), the number of heavy rain disasters in Gangwon State was 28, with an average cost of 45.6 billion won. To reduce heavy rain disasters, it is necessary to establish a disaster management plan at the local level. In particular, the current criteria for heavy rain warnings are uniform and do not consider local characteristics. Therefore, this study aims to propose a heavy rainfall warning criteria that considers the threshold rainfall for the advisory areas located in Gangwon State. As a result of analyzing the representative value of threshold rainfall by advisory area, the Mean value was similar to the criteria for issuing a heavy rain warning, and it was selected as the criteria for a heavy rain warning in this study. The rainfall events of Typhoon Mitag in 2019, Typhoons Maysak and Haishen in 2020, and Typhoon Khanun in 2023 were applied as rainfall events to review the criteria for heavy rainfall warnings, as a result of Hit Rate accuracy verification, this study reflects the actual warning well with 72% in Gangneung Plain and 98% in Wonju. The criteria for heavy rain warnings in this study are the same as the crisis warning stages (Attention, Caution, Alert, and Danger), which are considered to be possible for preemptive rain disaster response. The results of this study are expected to complement the uniform decision-making system for responding to heavy rain disasters in the future and can be used as a basis for heavy rain warnings that consider disaster risk by region.

• Journal of the Korean Association of Geographic Information Studies
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• v.12 no.1
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• pp.1-11
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• 2009

Rapid visualization of flood area of downstream according to the dam effluent in flood season is very important in dam management works. Overlay zone of river bight should be removed to represent flood area efficiently based on flood stage which was modeled in river channels. This study applied drainage enforcement algorithm to visualize flood area considering river bight by coupling Coordinate Operation System for Flood control In Multi-reservoir (COSFIM) and Flood Wave routing model (FLDWAV). The drainage enforcement algorithm is a kind of interpolation which gives to advantage into hydrological process studies by removing spurious sinks of terrain in automatic drainage algorithm. This study presented mapping technique of flood area layer considering river bight in Namgang-Dam downstream, and developed system based on Arcobject component to execute this process automatically. Automatic extraction system of flood area layer could save time-consuming efficiently in flood inundation visualization work which was propelled based on large volume data. Also, flood area layer by coupling with IKONOS satellite image presented real information in flood disaster works.

• 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.