• Title/Summary/Keyword: 도시침수분석

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An Analysis about Inundation and Carrying Capacity of Drain Pipes in Urban Area (도시유역의 우수관거 통수능 및 침수특성 분석)

  • Lee, Jung-Ho;Jo, Duk-Jun;Kim, Joong-Hoon;Kim, Eung-Seok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.8 no.1
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    • pp.110-115
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    • 2007
  • The localized rainfall happens frequently in urban areas recently and then, he drain pipes of urban areas do not drain well when the localized rainfalls happen. Specially, the inundation by the backwater on the lowland should be solved certainly in urban planning and sewer rehabilitation. In this study, it was examined whether the carrying capacities of the drain pipe are satisfied about a current design standard of the rainfall considering the outflows of the urban areas by the rainfall analysis. Also, the backwater in the drain pipe and the inundation on the lowland were analyzed considering the water level of the discharged river and the propriety of the design standard was examined by the analysis about the rainfall frequency. Also, the results offered the basic data to decide whether the detention reservoir should be established and the scale of the pump station.

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Accuracy evaluation of threshold rainfall impacting pedestrian using ROC (ROC를 이용한 보행에 영향을 미치는 한계강우량의 정확도 평가)

  • Choo, Kyungsu;Kang, Dongho;Kim, Byungsik
    • Journal of Korea Water Resources Association
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    • v.53 no.12
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    • pp.1173-1181
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    • 2020
  • Recently, as local heavy rains occur frequently in a short period of time, economic and social impacts are increasing beyond the simple primary damage. In advanced meteorologically advanced countries, realistic and reliable impact forecasts are conducted by analyzing socio-economic impacts, not information transmission as simple weather forecasts. In this paper, the degree of flooding was derived using the Spatial Runoff Assessment Tool (S-RAT) and FLO-2D models to calculate the threshold rainfall that can affect human walking, and the threshold rainfall of the concept of Grid to Grid (G2G) was calculated. In addition, although it was used a lot in the medical field in the past, a quantitative accuracy analysis was performed through the ROC analysis technique, which is widely used in natural phenomena such as drought or flood and machine learning. As a result of the analysis, the results of the time period similar to that of the actual and simulated immersion were obtained, and as a result of the ROC (Receiver Operating Characteristic) curve, the adequacy of the fair stage was secured with more than 0.7.

Analysis of Risk Classification on the Urban Flood Damage in Changwon city (창원시 용도지역별 침수 피해에 따른 위험등급화 분석)

  • Park, Ki-Yong;Jeong, Jin-Ho;Jeon, Won-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.4
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    • pp.685-693
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    • 2017
  • This study aims to effectively respond to urban local rainstorms by classifying the risk against flood damage for each use district. The risk classification is based on sensitivity analysis of the socio-economic damage caused by local rainstorms in Changwon city, Korea by a Fuzzy model using data, such as the districts that provide institutional bases for land use, land prices, which estimate the property values, and floor area ratios, which measures the density and areas of flood damage. The analysis result indicated that flood damage in five districts of Changwon (Masan happo-gu, Masan Hoewon-gu, Sungsan-gu, Euichang-gu, and Jinhae-gu) is highest in the order of commercial areas, residential areas, industrial areas, and forests, which was attributed to high land price and floor area ratio of commercial areas. On the other hand, specific analysis in Masan Hoewon-gu and Sungsan-gu was different from the previous result, indicating that the risk against flood damage may vary according to the districts depending on their local conditions. The analysis from this study can be applied to future urban planning and be used as a guideline to estimate the potential flood damage. Overall, this study is meaningful in that it proposes an effective management of land use as a new resolution to mitigate of urban flood damage within a broader perspective of climate change and urbanization.

Development of Octagonal Gibbs' model: An application to urban drainage networks (8방향 깁스 모형 개발: 도시유역 적용성을 중심으로)

  • Hwang, Junshik;Seo, Yongwon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.97-97
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    • 2015
  • 최근 몇 년간 발생한 도시홍수 피해의 주요 원인은 배수관망의 통수능 부족 때문이다. 2010년과 2011년에 연이어 발생한 서울시 침수피해의 주된 원인도 통수능 부족이라는 것을 관련된 보고서 등에서 확인할 수 있다. 따라서 현재 진행중이거나 계획중인 주요 침수지구의 '하수관거 종합정비 사업'은 주로 합류식 우수관거의 통수능 확보를 위한 사업으로 진행되고 있다. 하지만 침수지역의 관거 통수능 확보를 위한 관경확대는 관거확대 공사비용, 공사에 따르는 교통정체, 주거지역 시민의 피해, 제한된 공사비 등 여러 측면에서 제한될 수 있다. 배수망의 평면계획은 배수망의 유출반응과 밀접한 관련이 있다. 따라서 이 경우 관경확대 이외의 다른 대안으로 합류식 우수관거의 평면계획을 새로이 검토할 수 있다. 본 연구에서는 여덟 방향 깁스모형을 개발하여 기존의 네 방향 깁스모형과 비교하여 배수관망을 더욱 정확히 표현하도록 하였으며, 개발된 깁스모형을 활용하여 신월지구의 배수망 특성을 분석하였다. 또한 깁스모형을 이용하여 분석한 신월지구의 최적 배수관망 평면계획을 SWMM 모델에 적용하여 기존 배수관망 시스템과 최적 배수관망 시스템의 효율성을 검토하고 도시유역 적용성을 검토하였다. 따라서 본 연구의 결과는 깁스모형의 도시 배수망에의 적용성을 높임과 동시에 배수망의 평면계획을 이용하여 유출량 저감을 도모할 수 있는 새로운 대안을 제시할 수 있을 것으로 기대된다.

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Inundating Disaster Assessment in Coastal Areas Using Urban Flood Model (도시홍수모델을 이용한 해안지역의 침수재해평가)

  • Yoo Hwan-Hee;Kim Weon-Seok;Kim Seong-Sam
    • 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.

Development of an Inundation Risk Evaluation Method Based on a Multi Criteria Decision Making (다기준 의사결정기법을 기반으로 하는 침수위험 평가기법의 개발)

  • Park, Moo-Jong;Choi, Sung-Wook
    • Journal of Korea Water Resources Association
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    • v.41 no.4
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    • pp.365-377
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    • 2008
  • In this study, PROMETHEE(Preference Ranking Organization METHod for Enrichment Evaluations) which is one of the multi criteria decision making methods is applied to estimate the relative inundation risk of the urban subcatchment. For this purpose, several factors which have an effect on the inundation risk are selected and used to perform PROMETHEE. Those are elevation average, slope average, density of conduit, population and sediment yields per unit area of each subcatchment. Based on them, PROMETHEE is performed and the relative inundation risk for each subcatchment is estimated. For the validation of the suggested method, the results from the suggested method are compared with the historical inundation records occured on 1998 and the relative inundation risk estimated by the method considering sediment yields per unit area only. From the comparison, it is found that the suggested method may generate better results to estimate the relative inundation risk of each subcatchment than the method considering sediment yields per unit area only. Also, it can be applied to establish a rehabilitation order of subcatchments for mitigating the inundation risk.

Vulnerability Analysis of Gangnam Station Considering Climate Change (기후변화를 고려한 강남역 일대의 취약성 평가)

  • Choi, Ji Hyeok;Hwang, Sung Hwan;Mok, Ji Yoon;Moon, Young Il
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.457-457
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    • 2017
  • 최근 기후변화에 따른 수문환경의 변화로 인해 도시지역에 침수피해가 빈번히 발생하고 있으며, 이는 도시화로 인한 인구밀도 증가 및 불투수율이 높아짐으로써 땅속으로 스며들지 못한 빗물이 지표면으로 유출되어 침수피해로 나타나고 있다. 또한, 복잡한 하수관망의 정비와 관리가 어렵다는 점이 침수를 유발하는 원인이 되기도 한다. 강남역과 울산 태화강 침수 피해를 대표적인 예로 들 수 있다. 강남역 일대는 대한민국의 대표적인 상업의 중심지라고 할 수 있으며, 2010년부터 3년간 내수침수가 발생하여 사회적인 이슈가 되었으며, 2016년 울산 및 제주도에서는 제 18호 태풍 차바(CHABA)의 한반도 상륙으로 하천이 범람하고 내수침수가 발생하여 많은 재산 피해를 입혔다. 이처럼 기후변화로 인한 태풍 발생 빈도 증가 및 국지성 호우는 도시지역에 많은 침수피해를 발생시키기 때문에 정확한 침수분석과 취약성 평가를 실시해야 한다. 따라서 본 연구에서는 서울시 강남역 일대를 대상으로 강우-유출모형을 구축하였으며, 기상청에서 제공하는 HadGEM3-RA(12.5km격자자료)를 이용하여 미래 기후변화에 따른 불확실성을 고려한 취약성 평가하였다. 이는 상습침수지역에 대한 근본적인 침수원인을 파악하고 사전에 예방할 수 있는 객관적 평가자료로 활용가능할 것으로 기대된다.

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Analysis of Resource Mobilization in Inundation Area through Past Disaster Events (과거 재난사례를 통한 침수지역 자원동원 현황 분석)

  • Ha Young Jang;Yon Soo Kim;Dae Won Jang;Duck Gil Kim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.404-404
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    • 2023
  • 최근 국지성 집중호우 등 기상이변의 영향으로 침수피해의 위험성은 점차 증가하는 추세이고, 도시화로 인한 불투수면적의 증가, 녹지공간의 감소, 도시의 난개발 등 물순환 체계의 왜곡에 따른 침수로 인한 피해가 다수 발생하고 있다. 침수 발생 시 막대한 인적 및 물적 피해가 발생할 수 있기에 재난초기에 재난관리자원의 신속한 확보와 동원은 피해확산 방지에 매우 중요하고, 자원의 부족이나 동원의 지연으로 초기 대응이 늦어질 경우 피해가 확대될 수 있기에 침수발생 특성에 따른 필요 자원의 비축 및 동원이 필요하다. 하지만, 재난관리자원은 종류가 다양하고 요구되는 비축량이 많기에 모든 재난관리자원을 보유하고, 활용하기에는 어려움이 따른다. 따라서 침수피해재난을 중심으로 최적 자원 비축을 통한 효율적인 재난관리자원 운영 및 관리체계의 마련이 필요하다. 본 연구에서는 과거 20년(2001년~2020년) 동안 발생한 침수피해 관련 재난(호우, 태풍, 풍랑)사례를 통해 재난발생 시 동원된 자원현황을 분석하였다. 재해연보, 관련 백서 및 보고서, 침수흔적도 등의 수집 및 분석을 통해 지자체 침수피해 현황을 분류하고, 침수재난과 관련된 자원의 비축 및 운용 사례 분석을 통해 장비 28종, 자재 6종을 확인하였다. 본 연구는 침수재난 발생 시 지자체별 침수피해 규모와 필요한 재난관리자원을 도출한 점에서 그 의미가 있으며, 향후 재난관리자원의 효율적인 비축 및 관리계획 수립에 기초자료로 활용할 수 있을 것으로 기대된다.

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Real-time flood prediction applying random forest regression model in urban areas (랜덤포레스트 회귀모형을 적용한 도시지역에서의 실시간 침수 예측)

  • Kim, Hyun Il;Lee, Yeon Su;Kim, Byunghyun
    • Journal of Korea Water Resources Association
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    • v.54 no.spc1
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    • pp.1119-1130
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    • 2021
  • Urban flooding caused by localized heavy rainfall with unstable climate is constantly occurring, but a system that can predict spatial flood information with weather forecast has not been prepared yet. The worst flood situation in urban area can be occurred with difficulties of structural measures such as river levees, discharge capacity of urban sewage, storage basin of storm water, and pump facilities. However, identifying in advance the spatial flood information can have a decisive effect on minimizing flood damage. Therefore, this study presents a methodology that can predict the urban flood map in real-time by using rainfall data of the Korea Meteorological Administration (KMA), the results of two-dimensional flood analysis and random forest (RF) regression model. The Ujeong district in Ulsan metropolitan city, which the flood is frequently occurred, was selected for the study area. The RF regression model predicted the flood map corresponding to the 50 mm, 80 mm, and 110 mm rainfall events with 6-hours duration. And, the predicted results showed 63%, 80%, and 67% goodness of fit compared to the results of two-dimensional flood analysis model. It is judged that the suggested results of this study can be utilized as basic data for evacuation and response to urban flooding that occurs suddenly.

A Study on Scenario-based Urban Flood Prediction using G2D Flood Analysis Model (G2D 침수해석 모형을 이용한 시나리오 기반 도시 침수예측 연구)

  • Hui-Seong Noh;Ki-Hong Park
    • Journal of Advanced Navigation Technology
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    • v.27 no.4
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    • pp.488-494
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    • 2023
  • In this paper, scenario-based urban flood prediction for the entire Jinju city was performed, and a simulation domain was constructed using G2D as a 2-dimensional urban flood analysis model. The domain configuration is DEM, and the land cover map is used to set the roughness coefficient for each grid. The input data of the model are water level, water depth and flow rate. In the simulation of the built G2D model, virtual rainfall (3 mm/10 min rainfall given to all grids for 5 hours) and virtual flow were applied. And, a GPU acceleration technique was applied to determine whether to run the flood analysis model in the target area. As a result of the simulation, it was confirmed that the high-resolution flood analysis time was significantly shortened and the flood depth for visual flood judgment could be created for each simulation time.