Flood inundation modelling

Asselman, N.E.M.; Maat, Judith ter; Wit, Anton de; Verhoeven, Govert; Frazao, Sandra Soares; Velickovic, Mirjana; Goutière, Laurent; Zech, Yves; Fewtrell, Timothy; Bates, Paul

doi:10.1201/9780203883020.ch26

Cited by 12 publications

(4 citation statements)

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“…These are the areas where there is water in all three scenarios. Information about these areas could be used for long-term land use planning, for the generation of adequate development plans and for the evaluation of costs for flood reduction measures by local authorities [9,10]. Nevertheless, it is stated that the following three factors contribute to the accuracy of flood modelling: (1) structural model errors;…”

Section: Discussionmentioning

confidence: 99%

“…This could inform inform on the severity of the hazard, any threats to public safety and potential financial losses [9]. Further, they could be used to support emergency management actions and mitigation policies for future flooding events [10,11]. They are also critical for informing the public and policy makers and to receiving support for the formation of suitable governance [11].…”

Section: Introductionmentioning

confidence: 99%

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Application of HEC-RAS (2D) for Flood Hazard Maps Generation for Yesil (Ishim) River in Kazakhstan

Ongdas¹,

Akiyanova²,

Karakulov³

et al. 2020

Water

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The use of hydraulic models for carrying out flood simulations is a common practice globally. The current study used HEC-RAS (2D) in order to simulate different flood scenarios on the River Yesil (Ishim). Comparison of different mesh sizes (25, 50 and 75 m) indicated no significant difference in model performance. However, a significant difference was observed in simulation time. In addition, the inclusion of breaklines showed that there was a slight improvement in model performance and a shortening of the simulation time. Sensitivity analysis and the consequent manual calibration of sensitive parameters resulted in a slight improvement (an increase in the model accuracy from 58.4% for uncalibrated to 59.7% for calibrated). Following the simulations inundation maps for 10-, 20- and 100-year flood events were obtained. Hazard classification of the flood extents generated indicated that the settlements of Zhibek Zholy and Arnasay were flooded in all the simulated events. Volgodonovka village experienced flooding when a 100-year flood event was simulated. On the other hand, settlement No. 42 did not experience any flooding in any of the scenarios. The model results also demonstrate that the Counter-Regulator was not overtopped in the event of the 100-year hydrograph.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of HEC-RAS (2D) for Flood Hazard Maps Generation for Yesil (Ishim) River in Kazakhstan

Ongdas¹,

Akiyanova²,

Karakulov³

et al. 2020

Water

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“…Moreover, the setup of the hydrodynamic numerical model is constructed following published guidelines for an accurate representation of the case study (see Asselman et al, ). This allows the generation of a discussion on how the model chain is able to represent the meteorological event from the cloud to the flooded area and depth.…”

Section: Methodsmentioning

confidence: 99%

Hydro‐meteorological approach for the estimation of hurricane‐induced floods

Fernández‐Rivera

Rodríguez-Rincón

Alcocer-Yamanaka³

et al. 2018

J Flood Risk Management

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Hurricanes cause great damage in the tropics and due to its geographical location, Mexico experiences the landfall of such storms along both coasts as it covers 2 different cyclogenesis areas: the Eastern Pacific and the North Atlantic basins. For two catchments in southern Mexico, a set of weather prediction, hydrological and hydraulic models were used in cascade to simulate precipitation, runoff and flood maps observed during the extreme flooding that occurred in September 2013. The flood resulted from the rare simultaneous occurrence of 2 tropical cyclones and the framework provided an adequate numerical reproduction. Results show the usefulness of this approach by considering uncertainty limits that can be used for urban planning and development purposes.

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“…This will include details on the nature of the danger, any risks to public safety and possible financial losses. It may also be used to support emergency response actions and mitigation policies for future flood events (Asselman et al 2009;Thakur et al 2017). In recent years, the hydrodynamic modelling of flood events has been greatly enhanced due to the advancement of increasingly accurate computational tools, effective computing power and innovative topographic survey techniques.…”

Section: Introductionmentioning

confidence: 99%

Estimation of flood influencing characteristics of watershed and their impact on flooding in data-scarce region

Rana

Suryanarayana

2021

Annals of GIS

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The research is focused on the integrated use of satellite remote sensing, Geographic Information System (GIS), and extensive field observation techniques for a better understanding of the impacts of watershed characteristics on hydrological processes and floods. It aims to create a methodology for assessing flood hazards and risk on a regional and local scale so that protective measures can be designed. Floods have occurred in the study area for many years, causing serious damage to infrastructure and civic structures. The present study evaluates the linear, aerial and relief morphometric parameters using the Cartosat-1 digital elevation model (30 metres) along with the curve number for assessing the flood influencing characteristics of the Vishwamitri River's subwatersheds. The study prioritizes five sub-watersheds as high, medium, and low based on their flood influencing characteristics and compound value, as a result, needs the highest priority for flood mitigation measures. The sub-watersheds I and IV of Vishwamitri watershed have been categorized into high priority, sub-watersheds II and V into moderate priority, and subwatershed III into low priority. The geologic stage of development and erosion proneness of the watershed is quantified by hypsometric integral bearing value as 0.04, indicating the landscape to be in monadnock phase in landscape evolution indicative of a marked old stage in the basin's evolution. Moreover, the ability of the rain-on-grid model at the watershed scale to simulate flood events and predict flood-prone areas, considering multiple rain gauge data, which will facilitate more accurate flood inundation where ground-based observational data are unavailable is shown.

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Flood inundation modelling

Cited by 12 publications

References 1 publication

Application of HEC-RAS (2D) for Flood Hazard Maps Generation for Yesil (Ishim) River in Kazakhstan

Application of HEC-RAS (2D) for Flood Hazard Maps Generation for Yesil (Ishim) River in Kazakhstan

Hydro‐meteorological approach for the estimation of hurricane‐induced floods

Estimation of flood influencing characteristics of watershed and their impact on flooding in data-scarce region

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