• Journal of Environmental Policy
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• v.9 no.3
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• pp.3-27
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• 2010

This study empirically investigates whether urbanization triggers urban disaster damages in the metropolitan areas of Korea by applying panel data analysis. Issues are approached with respect to the perspective that increased natural disaster damages are closely related with urbanization. This paper describes the conceptual framework of disaster management to understand the factors that determine urban disaster damages in Korea. This study used a simplified model with some key factors for analysis, because flood damage factors in urban areas are too diverse, and a full understanding of every cause is not feasible. The results indicate that urbanization does not necessarily lead to increasing urban disaster damages and if properly managed, urbanization can actually reduce urban disaster damage.

• Journal of The Korean Society of Agricultural Engineers
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• v.46 no.5
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• pp.41-52
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• 2004

In this study, parameters of long and short term runoff model were optimized using genetic algorithm as a basic research for integrated water management in a watershed. In case of Korea where drought and flood occurr frequently, the integrated water management is necessary to minimize possible damage of drought and flood. Modified TANK model was optimized as a long term runoff model and storage-function model was optimized as a short term runoff model. Besides distinguished parameters were applied to modified TANK model for supplementing defect that the model estimates less runoff in the storm period. As a result of application, simulated long and short term runoff results showed 7% and 5% improvement compared with before optimized on the average. In case of modified TANK model using distinguished parameters, the simulated runoff after optimized showed more interrelationship than before optimized. Therefore, modified TANK model can be applied for the long term water balance as an integrated water management in a watershed. In case of storage-function model, simulated runoff in the storm period showed high interrelationship with observed one. These optimized models can be applied for the runoff analysis of watershed.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1813-1816
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• 2010

홍수범람도는 홍수가 발생하였을 때 인명 및 재산피해를 최소화하기 위해 홍수지역을 미리 예측가능하게 만들어 놓은 지도로써, 강우 빈도별 침수면적과 침수심을 표현한다. 과거 홍수범람도는 홍수발생시 댐의 수위를 조절하기 위한 댐의 모의운영과 침수지역의 피해 복구 등에 사용되었다. 최근에는 홍수에 대비하여 도시계획이나 제방 등의 설계에 주로 이용되고 있어, 많은 연구에서 홍수량 추정을 위한 프로그램을 이용하여 홍수범람도를 구현하거나 간단한 조작으로 홍수범람도를 작성하는 프로그램들이 개발되고 있다. 본 연구에서는 HEC-GeoRAS를 사용하여 극한홍수사상(PMF)이 발생할 경우 충주댐 하류의 주요 지점인 충주시와 여주군의 홍수범람도와 남한강 유역의 홍수저감대책을 분석하였다. 특히 다양한 구조적 홍수저감대책과 비구조적 홍수저감대책을 시범유역에 적용하여 홍수저감효과를 침수면적과 침수심을 기준으로 정량적으로 분석하여 재해저감 능력을 분석하였다. HEC-GeoRAS를 이용하여 홍수범람도 작성 시 하도내 횡단자료의 정확성은 수치지도의 정밀도에 따라 현저한 차이가 발생된다. 수치지도 자료가 정확하지 않다면 홍수범람면적, 구역 등을 정확히 모의할 수 없어 가상홍수사상 시나리오를 제대로 구현할 수 없게 된다. 홍수범람 모의를 좀 더 정확하게 수행하기 위해서는 비교적 정확한 지형자료인 항공측량자료를 사용하는 연구가 추후에 진행되어야 할 것으로 판단된다.

• Journal of the Korean housing association
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• v.23 no.5
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• pp.1-8
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• 2012

Recently, there have been frequent occurrence of the damage to lives and properties due to the torrential rain caused by climate change. In consideration of the current situations in which the underlying data related to flooding are lacking, this study conducted to build up the basic data on the flooded areas and suggested methods to secure the evacuation routes that can be accessible to evacuation facilities in the residential buildings. Methods of the study are as follows. First, We calculated the flood risk grades of residential buildings based on elevations, considering the flooding characteristics of the flooded areas in Buk-gu, Daegu. Second, We constructed baseline data on the evacuation routes through site investigation and reviewed of drawing using Arc GIS to identify vulnerability to access to the evacuation facilities, targeting the residential buildings. Third, We carried out the proximity analysis through a near analysis of analysis functions in ARC GIS. Forth, We deduced 115 residential buildings in which access to evacuation facilities is considered to be difficult based on the analysis results. Finally, We proposed extension of a blind alley as a means for achieving connectivity to evacuation facilities. And to evaluate the alternatives presented, we reconstructed route data. As a result, about 53% improvement was identified through the proximity analysis.

• Journal of Korea Water Resources Association
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• v.42 no.4
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• pp.319-329
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• 2009

Sediment release openings or pipes are installed in the flood control dam constructed to reduce flood damages, which are to allow water and sediments pass through the dam and to prevent flow blockage and sedimentation in the upstream area of the dam. The Hantan River Flood Control Dam (HRFCD) has been projected for flood damage reduction and sediment release openings and ecological passages are considered for the dam design. In this study, sediment deposition due to the construction of HRFCD was analyzed using the HEC-6 model and compared with the state before the dam construction with respect to the conditions of the annual mean daily discharge and annual discharge hydrograph. According to the numerical results, although downstream water levels were changed by the dam structure, the effects of bed changes were not propagated from the dam over 2 km upstream. Also, 2D numerical models of RMA2 and SED2D were used to predict bed changes in the upstream area with and without sediment release openings. Consequently, it is presented that sediment release openings decreased maximum deposition height in the upstream channel of the dam.

• Ecology and Resilient Infrastructure
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• v.7 no.4
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• pp.345-352
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• 2020

Securing the lead time for evacuation is crucial to minimize flood damage. In this study, downstream water levels for heavy rainfall were predicted using measured water level observation data. Multiple regression analysis and artificial neural networks were applied to the Seom River experimental watershed to predict the water level. Water level observation data for the Seom River experimental watershed from 2002 to 2010 were used to perform the multiple regression analysis and to train the artificial neural networks. The water level was predicted using the trained model. The simulation results for the coefficients of determination of the artificial neural network level prediction ranged from 0.991 to 0.999, while those of the multiple regression analysis ranged from 0.945 to 0.990. The water level prediction model developed using an artificial neural network was better than the multiple-regression analysis model. This technique for forecasting downstream water levels is expected to contribute toward flooding warning systems that secure the lead time for streams.

• Journal of Wetlands Research
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• v.13 no.3
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• pp.427-441
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• 2011

This study developed the Climate Variability Index (CVI) to assess the water resources through adding detail indicators into the existing regional Water Poverty Index (WPI) to consider climate variability and flood damage. This study aims at selecting indicators of WPI focused on water availability and regional climate variability, assessing regional variability of the indices during 1998-2007, and providing information to help determining the priority of water sector policies, investment, and applications. The WPI represents the relationship between the level of welfare and the water use. Considered with flood management and climate variability, CVI added by regional characteristics may be used in water resources management as well as flood mitigation for coping with climate change.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.1
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• pp.282-286
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• 2017

Rapid industrialization and urbanization have resulted in an increase in impervious areas and an increase in runoff, therefore, this causes more flooding and damage in urban areas. This study has analyzed the effects of improvements to the roughness coefficient in storm sewer pipes on flood runoff and outflow through rainfall-runoff simulations. The simulations are implemented by three scenarios to evaluate effects of improvements to the roughness coefficient for the improved length ratio to the total length, diameters and mainlines of sewer pipes. The size and length of the sewer mains are large and long to effectively increase the flow rate to the outlet, secure the passage discharge capacity of the pipe and reduce the overflow. It is effective for flood reduction that the improvement to roughness coefficient is first conducted in mainlines with longer lengths and larger diameters. The results from this study can provide a guideline for prioritizing of the sewer pipe replacement.

• Journal of Korean Society for Geospatial Information Science
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• v.20 no.3
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• pp.91-99
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• 2012

Jinju city is operating by selecting 8 places as the flood inundation risk area and by designating shelters on this area targeting districts damaged by typhoon and heavy rain, in the past. This study selected the research area as Nabul district and Sangpyeong district where are located in the town and that has high population density out of districts with inundation risk. The network analysis of GIS was applied to the suitability assessment on location of shelter by calculating the moving speed and the arriving time after dividing it into children, general adults, and aged people in consideration of the evacuation condition in inundation disaster. As a result, it was indicated that optimal evacuation plan time for children and aged people exceeded in getting to the shelter because of evacuation time excess and that even general adults outrun the prescribed evacuation time in some districts. Accordingly, a problem for evacuation time was improved by additionally designating 1-2 shelters to existing shelters in Nabul and Sangpyeong districts. A countermeasure is needed to reduce life and property damage in disaster occurrence by implementing the evacuation warning and the age-based evacuation plan more specifically in the future.

• Journal of the Korea Institute of Building Construction
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• v.24 no.2
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• pp.227-238
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• 2024

This study addresses the escalating flood damages prompted by recent climate shifts characterized by extreme weather events and proposes rainwater infiltration blocks as a potential solution. Recognizing the limitations inherent in existing inundation simulation methods, we advocate for the integration of novel functionalities, particularly leveraging drone technology. Our research endeavors encompass experimental assessments of inundation and flooding simulation technologies. These evaluations are conducted within areas where rainwater infiltration storage blocks have been implemented, juxtaposed against existing programs utilizing Digital Elevation Models(DEM) and Digital Surface Models(DSM). Through this comparative analysis and a meticulous scrutiny of the adaptability of inundation and flooding simulation to real-world deployment scenarios, we ascertain the efficacy of the simulation program as a decision-making tool for identifying optimal sites for rainwater infiltration storage block installation.