Evaluating flood extent mapping of two hydraulic models, 1D HEC‐RAS and 2D LISFLOOD‐FP in comparison with aerial imagery observations in Gorgan flood plain, Iran

Rahimzadeh, Omid; Bahremand, Abdolreza; Noura, N; Mukolwe, Micah

doi:10.1111/nrm.12214

Cited by 12 publications

(3 citation statements)

References 20 publications

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“…Calibration is reasonable as understood from the average F-index value of 81% (Quirogaa et al 2016;Liu et al 2019b;Rahimzadeh et al 2019) with Manning's value of 0.015. It is considered representative of the whole area due to uniformity in catchment characteristics in terms of sandy-loam soil.…”

Section: Description Of Hec-ras 2d Calibration and Validationmentioning

confidence: 82%

Urban flood risk analysis of buildings using HEC-RAS 2D in climate change framework

et al. 2021

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The present study aims to assess flood depth, building risk analysis, and the effectiveness of various flood adaptation strategies to attenuate building risk caused by urban floods in climate change scenarios. A framework is proposed where a hydraulic model, Hydrologic Engineering Center's-River Analysis System 2D (HEC-RAS 2D), is applied for 2-dimensional flood modeling to estimate (a) submerged areas, (b) flood depth, and (c) building risk for extreme events corresponding to two representative concentration pathways (RCPs), 6.0 and 8.5. Greater Hyderabad Municipal Corporation (GHMC), India, is chosen for demonstration. Percentages of buildings in GHMC under high, medium, and low risks for RCP 6.0 are 38.19, 9.91, and 51.9% in the respective order, and these are 40.82, 10.55, and 48.63% for RCP 8.5. Six flood proofing (FP) strategies (S1–S6) are proposed for attenuating building risk along with the required capital cost. The capital investment required for FP to achieve the ideal situation of no risk for all buildings (strategy S6) works out to Rs. 3,740 × 107 and Rs. 3,800 × 107 for RCPs 6.0 and 8.5. It is observed that the effect of adaptation strategies is significant.

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Section: Description Of Hec-ras 2d Calibration and Validationmentioning

confidence: 82%

Urban flood risk analysis of buildings using HEC-RAS 2D in climate change framework

et al. 2021

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“…In cases where near-real-time or forecasted flood mapping is needed for mitigation and recovery efforts, hydrodynamic models can be used. Many hydrodynamic models have been employed for flood mapping such as 1 and 2 dimensional HEC-RAS models (Farooq et al, 2019;Salman et al, 2021;Tamiru and Dinka, 2021;Namara et al, 2022;Vashist and Singh, 2023), LISFLOOD-FP (Amarnath et al, 2015;Rahimzadeh et al, 2019;Rajib et al, 2020;Nandi and Reddy, 2022), and FLO-2D (Haltas et al, 2016;Erena et al, 2018;Cruz et al, 2019;Li et al, 2021) to name a few. These models are commonly used in practice and provide the basis for some of the flood risk information sources mentioned above.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Height Above Nearest Drainage parameters to enable rapid flood mapping in North Carolina

Richardson,

Beighley

2024

Front. Water

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Surface water flooding represents a significant hazard for many infrastructure systems. For example, residential, commercial, and industrial properties, water and wastewater treatment facilities, private drinking water wells, stormwater systems, or transportation networks are often impacted (i.e., in terms of damage or functionality) by flooding events. For large scale events, knowing where to prioritize recovery resources can be challenging. To help communities throughout North Carolina manage flood disaster responses, near real-time state-wide rapid flood mapping methods are needed. In this study, Height Above Nearest Drainage (HAND) concepts are combined with National Water Model river discharges to enable rapid flood mapping throughout North Carolina. The modeling system is calibrated using USGS stage-discharge relationships and FEMA 100-year flood maps. The calibration process ultimately provides spatially distributed channel roughness values to best match the available datasets. Results show that the flood mapping system, when calibrated, provides reasonable estimates of both river stage (or corresponding water surface elevations) and surface water extents. Comparing HAND to FEMA hazard maps both in Wake County and state-wide shows an agreement of 80.1% and 76.3%, respectively. For the non-agreement locations, flood extents tend to be overestimated as compared to underestimated, which is preferred in the context of identifying potentially impacted infrastructure systems. Future research will focus on developing transfer relationships to estimate channel roughness values for locations that lack the data needed for calibration.

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“…When the article (Rahimzadeh et al, 2019) was first published online, in the abstract, line six, the unit of the number is wrong. It is appearing as 90 cm.…”

mentioning

confidence: 99%

Erratum

2020

Natural Resource Modeling

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Evaluating flood extent mapping of two hydraulic models, 1D HEC‐RAS and 2D LISFLOOD‐FP in comparison with aerial imagery observations in Gorgan flood plain, Iran

Cited by 12 publications

References 20 publications

Urban flood risk analysis of buildings using HEC-RAS 2D in climate change framework

Urban flood risk analysis of buildings using HEC-RAS 2D in climate change framework

Optimizing Height Above Nearest Drainage parameters to enable rapid flood mapping in North Carolina

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