• 제목/요약/키워드: flood risk

검색결과 417건 처리시간 0.038초

베이지안 네트워크를 적용한 홍수 위험도 분석 (Application of Bayesian Networks for Flood Risk Analysis)

  • 선우우연;이길성;정은성
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2012년도 학술발표회
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    • pp.467-467
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    • 2012
  • As the features of recent flood are spatially concentrated, loss of life and property increase by the impact of climate change. In addition to this the public interest in water control information is increased and socially reasonable justification of water control policy is needed. It is necessary to estimate the flood risk in order to let people know the status of flood control and establish flood control policy. For accurate flood risk analysis, we should consider inter-relation between causal factors of flood damage. Hence, flood risk analysis should be applied to interdependence of the factors selected. The Bayesian networks are ideally suited to assist decision-making in situations where there is uncertainty in the data and where the variables are highly interlinked. In this research, to provide more proper water control information the flood risk analysis is performed using the Bayesian networks to handle uncertainty and dependency among 13 specific proxy variables.

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Development of flood hazard and risk maps in Bosnia and Herzegovina, key study of the Zujevina River

  • Emina, Hadzic;Giuseppe Tito, Aronica;Hata, Milisic;Suvada, Suvalija;Slobodanka, Kljucanin;Ammar, Saric;Suada, Sulejmanovic;Fehad, Mujic
    • Coupled systems mechanics
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    • 제11권6호
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    • pp.505-524
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    • 2022
  • Floods represent extreme hydrological phenomena that affect populations, environment, social, political, and ecological systems. After the catastrophic floods that have hit Europe and the World in recent decades, the flood problem has become more current. At the EU level, a legal framework has been put in place with the entry into force of Directive 2007/60/EC on Flood Risk Assessment and Management (Flood Directive). Two years after the entry into force of the Floods Directive, Bosnia and Herzegovina (B&H), has adopted a Regulation on the types and content of water protection plans, which takes key steps and activities under the Floods Directive. The "Methodology for developing flood hazard and risk maps" (Methodology) was developed for the territory of Bosnia and Herzegovina, following the methodology used in the majority of EU member states, but with certain modifications to the country's characteristics. Accordingly, activities for the preparation of the Preliminary Flood Risk Assessment for each river basin district were completed in 2015 for the territory of Bosnia and Herzegovina. Activities on the production of hazard maps and flood risk maps are in progress. The results of probable climate change impact model forecasts should be included in the preparation of the Flood Risk Management Plans, which is the subsequent phase of implementing the Flood Directive. By the foregoing, the paper will give an example of the development of the hydrodynamic model of the Zujevina River, as well as the development of hazard and risk maps. Hazard and risk maps have been prepared for medium probability floods of 1/100 as well as for high probability floods of 1/20. The results of LiDAR (Light Detection and Ranging) recording were used to create a digital terrain model (DMR). It was noticed that there are big differences between the flood maps obtained by recording LiDAR techniques in relation to the previous flood maps obtained using georeferenced topographic maps. Particular attention is given to explaining the Methodology applied in Bosnia and Herzegovina.

Evaluating Flood Risk Area using GIS and RADARSAT Data-A Case Study in Northeast Thailand

  • Mongkolsawat, C.;Thirangoon, P.;Suwanwerakamtorn, R.;Karladee, N.;Paiboonsak, S.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.7-9
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    • 2003
  • The objective of this study is to evaluate flood risk area by integrating GIS and RADARSAT data. The study area, Northeast Thailand, is subject to flood during the rainy season. The main data used in this evaluation included RADARSAT data, landform and topographic map. The evaluation was conducted by overlay operation of flood area in 2001, land form and buffer region beyond the flood areas with the selection criteria defined. Most of the flood risk areas were found in the low lying land form within the buffer region. The cloud penetrating capabilities of SAR is only a source of information for effectively assessment of flood risk area in Northeast Thailand.

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GIS기반 홍수위험도 평가를 통한 공간정보 구축 방안 개발 (Development of Strategics for Establishment of Spatial Information by Assessment of GIS-Based Flood Risk)

  • 심규성;이춘호;이태근;지계환
    • Spatial Information Research
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    • 제23권2호
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    • pp.39-48
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    • 2015
  • 본 연구에서는 2차원 범람해석을 통해 도출된 침수해석정보에 현실적인 위험도를 고려한 산정식을 적용하여 홍수위험도를 평가하였고, 이를 표준화된 정보체계로 제공하는 방안을 제시하였다. 일반적으로 침수심과 침수구역을 기반으로 하는 현재의 홍수위험도 평가방법은 홍수발생시 사람에게 미치는 실질적인 위험도를 충분히 반영하지 못 할 것으로 판단되어 침수심, 유속, Debris Factor와 Flood Hazard Rating 관계식을 이용하여 외수범람이 사람에게 미치는 홍수위험도를 평가하고 4개로 등급화하였다. 이를 위해 2차원 외수범람해석 모형인 Flumen을 이용하여 대구의 금호강유역 대하여 500년 빈도 홍수로 인한 월류와 200년 빈도 홍수로 인한 파제 시나리오에 따라 외수범람을 모의하였다. 이러한 연구결과를 통해 외수범람시 침수가 예상되는 지역에 위치한 사람들에게 더 현실적인 위험도정보를 제공하고, 표준화된 정보체계 기반에서 위험도정보 제공이 가능해짐으로써 재해관련분야의 정보분석, 평가, 계획수립 등 다양한 분야에서 활용성을 증대시킬 수 있을 것으로 판단된다.

도시지역 방어침수위 설정에 관한 연구 (A Study on determining Flood Protection Elevation in Urban Area)

  • 신상영;이양재
    • 한국방재학회:학술대회논문집
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    • 한국방재학회 2008년도 정기총회 및 학술발표대회
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    • pp.649-652
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    • 2008
  • In urban area, flood risk is getting higher because of inland flood risk has grown up by changing rainfall intensity, rainfall pattern, changing land use and so on. Urban area is needed higher flood protection level to protect accumulated people, buildings and other infrastructures. However, even though former flood protection has focused on overflow from river, there is not a guide line for evaluating proper flood protection level. Thus, it is necessary to protect flood from inland flooding as well as overflow from river and need a proper method to evaluating flood protection level. This study present a method of determining flood protection elevation by using GIS tools for deciding proper flood protection level. The study result may contribute to urban flood protection measures in which inland flood risk increases.

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UNCERTAINTY IN DAM BREACH FLOOD ROUTING RESULTS FOR DAM SAFETY RISK ASSESSMENT

  • Lee, Jong-Seok
    • Water Engineering Research
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    • 제3권4호
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    • pp.215-234
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    • 2002
  • Uncertainty in dam breach flood routing results was analyzed in order to provide the basis fer the investigation of their effects on the flood damage assessments and dam safety risk assessments. The Monte Carlo simulation based on Latin Hypercube Sampling technique was used to generate random values for two uncertain input parameters (i.e., dam breach parameters and Manning's n roughness coefficients) of a dam breach flood routing analysis model. The flood routing results without considering the uncertainty in two input parameters were compared with those with considering the uncertainty. This paper showed that dam breach flood routing results heavily depend on the two uncertain input parameters. This study indicated that the flood damage assessments in the downstream areas can be critical if uncertainty in dam breach flood routing results are considered in a reasonable manner.

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홍수 위험도 척도 및 예측모형 연구 (Study on Measurement of Flood Risk and Forecasting Model)

  • 권세혁;오현승
    • 산업경영시스템학회지
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    • 제38권1호
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    • pp.118-123
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    • 2015
  • There have been various studies on measurements of flood risk and forecasting models. For river and dam region, PDF and FVI has been proposed for measurement of flood risk and regression models have been applied for forecasting model. For Bo region unlikely river or dam region, flood risk would unexpectedly increase due to outgoing water to keep water amount under the designated risk level even the drain system could hardly manage the water amount. GFI and general linear model was proposed for flood risk measurement and forecasting model. In this paper, FVI with the consideration of duration on GFI was proposed for flood risk measurement at Bo region. General linear model was applied to the empirical data from Bo region of Nadong river to derive the forecasting model of FVI at three different values of Base High Level, 2m, 2.5m and 3m. The significant predictor variables on the target variable, FVI were as follows: ground water level based on sea level with negative effect, difference between ground altitude of ground water and river level with negative effect, and difference between ground water level and river level after Bo water being filled with positive sign for quantitative variables. And for qualitative variable, effective soil depth and ground soil type were significant for FVI.

Unveiling the mysteries of flood risk: A machine learning approach to understanding flood-influencing factors for accurate mapping

  • Roya Narimani;Shabbir Ahmed Osmani;Seunghyun Hwang;Changhyun Jun
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2023년도 학술발표회
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    • pp.164-164
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    • 2023
  • This study investigates the importance of flood-influencing factors on the accuracy of flood risk mapping using the integration of remote sensing-based and machine learning techniques. Here, the Extreme Gradient Boosting (XGBoost) and Random Forest (RF) algorithms integrated with GIS-based techniques were considered to develop and generate flood risk maps. For the study area of NAPA County in the United States, rainfall data from the 12 stations, Sentinel-1 SAR, and Sentinel-2 optical images were applied to extract 13 flood-influencing factors including altitude, aspect, slope, topographic wetness index, normalized difference vegetation index, stream power index, sediment transport index, land use/land cover, terrain roughness index, distance from the river, soil, rainfall, and geology. These 13 raster maps were used as input data for the XGBoost and RF algorithms for modeling flood-prone areas using ArcGIS, Python, and R. As results, it indicates that XGBoost showed better performance than RF in modeling flood-prone areas with an ROC of 97.45%, Kappa of 93.65%, and accuracy score of 96.83% compared to RF's 82.21%, 70.54%, and 88%, respectively. In conclusion, XGBoost is more efficient than RF for flood risk mapping and can be potentially utilized for flood mitigation strategies. It should be noted that all flood influencing factors had a positive effect, but altitude, slope, and rainfall were the most influential features in modeling flood risk maps using XGBoost.

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홍수위험지도 활용을 위한 낙동강 유역에서의 홍수취약도 분석 (Vulnerability Analysis in the Nakdong River Basin for the Utilization of Flood Risk Mapping)

  • 김태형;한건연;조완희
    • 한국지리정보학회지
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    • 제14권3호
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    • pp.203-222
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    • 2011
  • 오늘날 홍수재해의 특성은 기후변화와 이상기후의 영향으로 인하여 점점 더 높은 강도를 나타내고, 예측이 불가능한 기상이변의 형태를 보이고 있다. 이러한 기상이변에 따른 댐 및 제방 등의 수공구조물 붕괴, 또는 내수배제 불량 등으로 인한 침수피해를 예방하기 위해 침수범위의 예측 및 분석을 통한 홍수위험지도 작성의 필요성이 대두되었고, 실제로 국가 차원의 홍수위험지도가제작되고 있다. 본 연구에서는 이러한 홍수위험지도 제작에 있어서 단순한 위험성(hazard)의 개념이 아닌 위험도(risk)개념으로의 확장을 위해 홍수에 노출된 지역의 인구수, 경제적 활동의 형태, 홍수가 발생했을 때 2차적 피해를 불러올 수 있는 설비 등을 나타내는 홍수 취약도(flood vulnerability)에 대한 정량적 평가를 실시하고자 하였고, 낙동강 유역에 적용하여 행정구역별로 세분화된 홍수위험지도 제작을 위한 취약도 지표를 산정하였다. 본 연구에서 연구된 결과는 각 지자체 및 관련부처에서 효율적인 방재대책 수립 및 치수방재사업에 대한 우선순위 결정을 위한 정량적 자료 및 중요한 가치판단 기준으로 활용될 수 있을 것으로 판단된다.

공간정보기반 3차원 가상현실을 이용한 홍수위험지도 제작 (Flood Risk Mapping using 3D Virtual Reality Based on Geo-Spatial Information)

  • 송영선;이필석;유연;김기홍
    • 대한공간정보학회지
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    • 제20권4호
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    • pp.97-104
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    • 2012
  • 최근 들어 전 세계적인 기상이변으로 인해 홍수재해의 발생빈도가 증가하고 있다. 이러한 홍수재해에 대비하기 위해서는 구조적 비구조적 방법이 있으며, 홍수위험지도의 제작과 활용은 비구조적 방법 중 하나이다. 홍수 위험지도는 홍수에 의한 인명 및 재산피해를 최소화하기 위해 홍수발생 시 여러 가지 정보들을 지도상에 나타낸 것으로서, 본 연구에서는 기존의 홍수위험지도의 활용성을 증가시키고 정보의 직관성을 개선하고자 공간정보기반 3차원 가상현실을 이용하여 홍수위험지도를 제작하고, 그 활용성을 평가하였다. 특히, 디지털기기를 이용하여 언제 어디서나 온라인 정보에 접근이 가능한 시대에 본 연구에서 제시한 홍수위험지도는 그 활용성이 매우 높다고 판단된다.