• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.5
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• pp.671-683
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• 2018

The flood damage caused by heavy rains in urban watershed is increasing, and, as evidenced by many previous studies, urban flooding usually exceeds the water capacity of drainage networks. The flood on the area which considerably urbanized and densely populated cause serious social and economic damage. To solve this problem, deterministic and probabilistic studies have been conducted for the prediction flooding in urban areas. However, it is insufficient to obtain lead times and to derive the prediction results for the flood volume in a short period of time. In this study, IDNN, TDNN and NARX were compared for real-time flood prediction based on urban runoff analysis to present the optimal real-time urban flood prediction technique. As a result of the flood prediction with rainfall event of 2010 and 2011 in Gangnam area, the Nash efficiency coefficient of the input delay artificial neural network, the time delay neural network and nonlinear autoregressive network with exogenous inputs are 0.86, 0.92, 0.99 and 0.53, 0.41, 0.98 respectively. Comparing with the result of the error analysis on the predicted result, it is revealed that the use of nonlinear autoregressive network with exogenous inputs must be appropriate for the establishment of urban flood response system in the future.

• Journal of Korean Society on Water Environment
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• v.34 no.1
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• pp.57-66
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• 2018

Water disasters such as flash floods and inundation caused by localized heavy rainfall in urban areas have a large impact on climate change but are also closely related to the increase in impervious areas as pointed out in domestic and international studies. It is difficult to secure natural green areas in urban areas that have already been developed. So, urban regeneration can be expected using water management optimized with technologies to secure infiltration and storage capacity such as Low-Impact Development technology. In this study, the water cycle improvement ability was confirmed by applying the LID technology within the district unit plan of the environmentally friendly village, and the economic feasibility of LID application was analyzed by estimating the costs and benefits of installing the facilities. The site was planned to conserve sufficient green and plans for securing the watershed infiltration and storage capacity were formulated with the application of additional LID technology, such as infiltration trenches, rain barrels and permeable pavements. The LID design method applicable to the site was established, and the water balance of the watershed was analyzed through simulations of the SWMM model. The water circulation improvement effect was confirmed through the water balance analysis, and the cost-benefits were determined according to the estimation method, and the economic analysis was conducted. This study confirms that the investment of LID technology is economically feasible for the hydrological improvement effect of the housing complex.

• Journal of Korea Water Resources Association
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• v.55 no.1
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• pp.71-84
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• 2022

The objective of this study is to develop a two-dimensional (2D) flood model that can perform accurate flood analysis with simple input data. The 2D flood inundation models currently used to create flood forecast maps require complex input data and grid generation tools. This sometimes requires a lot of time and effort for flood modeling, and there may be difficulties in constructing input data depending on the situation. In order to compensate for these shortcomings, in this study, a grid-based model that can derive accurate and rapid flood analysis by reflecting correct topography as simple input data was developed. The calculation efficiency was improved by extending the existing 2×2 sub-grid model to a 5×5. In order to examine the accuracy and applicability of the model, it was applied to the Gamcheon Basin where both urban and river flooding occurred due to Typhoon Rusa. For efficient flood analysis according to user's selection, flood wave propagation patterns, accuracy and execution time according to grid size and number of sub-grids were investigated. The developed model is expected to be highly useful for flood disaster mapping as it can present the results of flooding analysis for various situations, from the flood inundation map showing accurate flooding to the flood risk map showing only approximate flooding.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.4
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• pp.997-1006
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• 2015

This study analyzed urban infrastructure risk to flooding based on the possibility map of flooding calculated by neural network model focusing on Seoul. This study found that Gangnam-gu, Songpa-gu, Seocho-gu and Seodaemun-gu contained relatively large high-risk areas to flooding. Over $4.17km^2$ of transportation facilities were located in high-risk area to flooding and Gangnam-gu included over $0.85km^2$ of infrastructures exposed to high inundation risk. This study is meaningful in that it first applied the neural network modeling to flooding risk assesment and results of risk assessment can be incorporated into various planning process.

• Journal of Korea Water Resources Association
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• v.49 no.12
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• pp.981-993
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• 2016

This study explains the GIS database of flood inundation area developed for Samsung-1 Drainage Sector, Seoul, Korea. The XP-SWMM dual drainage model was developed for the study area, and the time series observed at the watershed outlet was used to obtain the watershed time of concentration and to calibrate the XP-SWMM model. The rainfall scenario was developed by dividing the 40 minute watershed time of concentration into two 20-minute time steps and then applying the gradually increasing 5 mm/hr interval rainfall intensity to each of the time step up to 200 mm/hr, which is the probable maximum precipitation of the study area. The developed rainfall scenarios was used as the input of the XP-SWMM model to obtain the database of the flood inundation area. The analysis on the developed GIS database revealed that: (1) For the same increment of the rainfall, the increase of the flooded area can be different, and this was caused by topographic characteristics and spatial formation of pipe network of the study area; (2) For the same flooded area, the spatial extent can be significantly different depending on the temporal distribution of rainfall; and (3) For the same amount of the design rainfall, the flood inundation area and the extent can be significantly different depending on the temporal distribution of rainfall.

• Proceedings of the Korea Water Resources Association Conference
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• 2004.05b
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• pp.870-874
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• 2004

도시지역 배수암거의 설계빈도는 호우 발생시 배수 기능을 원만히 수행하기에 부족한 경우가 많으며, 최근 발생 빈도가 높은 국지적 집중호우에 내하여 배수기능 수행이 취약한 실정이다. 특히, 저지대 역류 현상에 따른 침수피해는 도시 설계 및 관거 개량사업에 있어서 반드시 해결해야할 문제점으로 제시된다. 본 연구에서는 강우분석을 통한 도시유출특성을 고려하여 현행 배수암거의 설계빈도에 대한 통수능력을 검토하였으며, 방류하천의 계획홍수위 영향을 고려하여 암거내 역류 및 저지대 침수량을 분석하므로써 배수암거 설계빈도 채택의 적정성 및 저류시설 설치규모 검토를 위한 기준을 제시하었다.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1804-1807
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• 2010

최근의 기상상태는 집중호우와 태풍 등으로 인해 우리나라는 여름철 장마 및 태풍으로 인한 국지성 집중호우가 빈번히 발생하고 있으며 그로 인한 피해사례가 증가하고 있다. 이런 풍수해로 인한 피해를 경감시키기 위해 많은 연구가 진행되고 있으며, 홍수범람분석도 풍수해 피해를 경감시키기 위한 연구 중의 일환으로 빈도별 강우량을 산정하여 그에 따른 홍수범람 지역을 사전에 파악함으로써 피해지역에 대한 대책을 강구할 수가 있다. 특히 피해발생시 피해금액이 크게 되는 도시하천의 경우 범람해석에 따른 피해예방에 대한 계획과 대책수립이 필수적이라 할 수 있다. 하지만 일반적으로 홍수범람분석결과를 수치지형도에 접목시켜 검토되는 경우는 최근의 도시개발상황을 적절히 반영하기 어려운 점이 있다. 그러나 최근 인터넷 기술의 발달과 정보의 제공이 신속하고 정확도가 높아짐에 따라 범람해석결과를 항공사진과 수치지도를 접목하여 제공함으로써 보다 최신의 정보를 제공할 수 있는 장점이 있다. 따라서 본 연구에서는 팔거천지역의 홍수범람분석 결과를 항공사진에 접목시킴으로써 홍수범람 지역에 대한 세부적인 상황파악을 할 수 있도록 연구를 진행하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.689-693
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• 2010

본 연구는 최근 기상이변에 따른 집중호우에 의해 도시지역에서 빈번히 발생하고 있는 침수피해를 XP-SWMM모형을 이용하여 침수해석을 수행한 것으로서, 이를 위해 대상유역의 강우분석을 선수행하고 하천 외수위 상승에 따른 배수구역의 10년, 20년, 30년, 50년 설계빈도별 침수해석을 실시하였다. 이에 본 연구에서는 과거 하천 외수위 변화에 따른 내수배제 불량으로 인한 침수피해가 일어난 지역을 산정하고, 도시유역의 강우-유출해석과 하수관거 해석을 실시한다. 이를위해 XP-SWMM 모형을 이용하여 하수관망 시스템과 하천 외수를 연계 해석하여 장래 하천의 빈도별 홍수량에 대한 침수가능 여부를 분석하였다. 본 연구의 대상유역 면적은 62.35ha, 총 관로연장 12,741m, 소유역 60개, 하수관로 175개로 모형을 구성 하였고, 유출해석결과 설계빈도 50년의 임계지속시간은 90분, 총 침수량은 $15,362m^3$, 침수면적은 $65,384m^2$였으며, 최대 침수심은 0.81m인것으로 산정되었다. 침수피해 경감효과로는 245세대, 585명의 피해경감 효과가 있을 것으로 분석 되었다.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.399-399
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• 2018

지구온난화에 따른 기후변화로 인하여 설계빈도를 상회하는 집중호우가 증가하는 추세이며, 불규칙한 강우패턴 및 강우강도의 변화, 그리고 급격한 도시화는 도시지역의 침수피해를 가져오고 있다. 본 연구에서는 극한호우사상에 따른 도심지역 침수분석을 실시하기 위해 서울시 상습침수지역인 강남역 일대를 연구대상유역으로 선정하여 도시유출모형을 구축하였으며, 극한호우사상에 따른 강우시나리오 선정을 위해 기왕최대강우, PMP, 확률강우량을 분석하였다. 또한, 극한호우사상에 따른 도심지역 홍수피해액 산정을 위해 국내외 산정방법에 대해 조사하고, 방법에 따른 피해액 산정결과를 제시하였다.

• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.2
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• pp.92-104
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• 2015

In order to analyze the impacts of climate change, a time and space integrated model was developed in this study using system dynamics and GIS. The model built was used to carry out a simulation on the inundation impact on A-gu of Busan Metropolitan city resulting from the sea level rise scenario of IPCC and storm surge, which is the worst case. Through this, the flooded area and population until 2100 were predicted. Also, the result and significance of each alternative was reviewed improving the model by establishing alternative scenarios of protection, accommodation and retreat as plans of reaction to sea level rise. The combination of system dynamics and GIS has advantages of how the diverse variables change until the target year can be traced and, accordingly, not only the results but also the processes of spatial change can be examined by calculating the value of change process at each time step. The synergy of this model presumed to be a foothold for solving problems which are becoming difficult to predict due to increase in uncertainty and complexity such as the support for decision making for urban resilience to natural disasters.