Management System for Dam-Break Hazard Mapping in a Complex Basin Environment

Mao, Jian; Wang, Shandong; Ni, Jinren; Xi, Changbai; Wang, Jiechen

doi:10.3390/ijgi6060162

Cited by 21 publications

(11 citation statements)

References 25 publications

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“…Existing method could consume a lot of time for showing flood map with consideration of dam operation or collapse [1][2][3][4]. The technique proposed in this paper has the advantage of displaying a flood map faster than the previous method that using GIS program [5]. However, there is a disadvantage that it is necessary to build a database for various flood scenarios for this purpose.…”

Section: Discussionmentioning

confidence: 99%

Linking Hydraulic Modeling with a Machine Learning Approach for Extreme Flood Prediction and Response

Kim

Han

2020

Atmosphere

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An emergency action plan (EAP) for reservoirs and urban areas downstream of dams can alleviate damage caused by extreme flooding. An EAP is a disaster action plan that can designate evacuation paths for vulnerable districts. Generally, calculation of dam-break discharge in accordance with dam inflow conditions, calculation of maximum water surface elevation as per hydraulic channel routing, and flood map generation using topographical data are prepared for the purposes of creating an EAP. However, rainfall and flood patterns exhibited in the context of climate change can be extremely diverse. In order to prepare an efficient flood response, techniques should be considered that are capable of generating flood maps promptly while taking dam inflow conditions into account. Therefore, this study aims to propose methodology that is capable of generating flood maps rapidly for any dam inflow conditions. The proposed methodology was performed by linking a dynamic numerical analysis model (DAMBRK) with a random forest regression technique. The previous standard method of drawing flood maps often requires a significant amount of time depending on accuracy and personnel availability; however, the technique proposed here is capable of generating a flood map within one minute. Through use of this methodology, the time taken to prepare flood maps in large-scale water-disaster situations can be reduced. Moreover, methodology for estimating flood risk via use of flood mapping has been proposed. This study would provide assistance in establishing disaster countermeasures that take various flood scenarios into account by promptly providing flood inundation information to disaster-related agencies.

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Section: Discussionmentioning

confidence: 99%

Linking Hydraulic Modeling with a Machine Learning Approach for Extreme Flood Prediction and Response

Kim

Han

2020

Atmosphere

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“…Although there are many examples of dam failures in history, only a few of them are well documented and preserved. Existing records are extremely insufficient and most of them have been documented by visual observation, which implies that data related to these events are highly uncertain [42].…”

Section: Modeling Of Dam Breaksmentioning

confidence: 99%

“…As an example, the FLDWAV hydraulic model (a generalized flood routing model) has been used in various studies to determine the hydraulic characteristics of a flood, including its discharge, velocity, elevation, and depth at various times and distances downstream of the dam [47]. Other approaches using a 2D Cellular Automaton spatial distribution model have simulated the spatio-temporal process of a dam-break flood routing [69,42].…”

Section: Modeling Of Dam Breaksmentioning

confidence: 99%

An Agent-Based Co-modeling Approach to Simulate the Evacuation of a Population in the Context of a Realistic Flooding Event: A Case Study in Hanoi (Vietnam)

Chapuis

Elwaqoudi

Brugière

et al. 2021

Springer Proceedings in Mathematics &Amp; Statistics

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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“…Dam Break flood inundation mapping was done using GIS integrated hydrological modeling. MIKE 21 software was used for such mapping [27]. The analysis provides scientific management plan in case of emergency and also a socioeconomic framework.…”

Section: Introductionmentioning

confidence: 99%

Dam Break Wave Propagation on a Non- Erodible Bed – Comparison of Experimental and Numerical Results

2021

IJETER

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Dams are vital for production of electricity, storage of water and irrigation purposes but pose a serious risk to the community, if breached. The downstream flood wave propagation, resulting from failure of a dam can subject the population and infrastructure to considerable damage. No matter how low the chances of failure, the cost of failure makes it a higher risk. Mitigation of such risks requires better understanding of the hazard that a dam may pose in case of failure. This study focuses on the effects of flood wave propagation on a fixed bed on the downstream side resulting from sudden dam break. Two conditions are simulated: 1. when the downstream side is open, 2. when the downstream side is closed. It is observed that the flood wave diminishes in velocity and height with increase in time for both cases. For downstream open condition, the flood wave attains maximum height in 2 to 4 sec and maximum velocity within 2 to 5 sec. For downstream closed condition, the flood wave attains maximum height within 5to 10 sec and maximum velocity within 3 to 5 sec. The results obtained from the two-dimensional shallow water equation based numerical model are in close agreementwith the experimental results.

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Management System for Dam-Break Hazard Mapping in a Complex Basin Environment

Cited by 21 publications

References 25 publications

Linking Hydraulic Modeling with a Machine Learning Approach for Extreme Flood Prediction and Response

Linking Hydraulic Modeling with a Machine Learning Approach for Extreme Flood Prediction and Response

An Agent-Based Co-modeling Approach to Simulate the Evacuation of a Population in the Context of a Realistic Flooding Event: A Case Study in Hanoi (Vietnam)

Dam Break Wave Propagation on a Non- Erodible Bed – Comparison of Experimental and Numerical Results

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