Mapping flood inundation areas using GIS and HEC-RAS model at Fetam River, Upper Abbay Basin, Ethiopia

Desalegn, Hunegnaw; Mulu, Arega

doi:10.1016/j.sciaf.2021.e00834

Cited by 41 publications

(29 citation statements)

References 12 publications

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“…The higher the useable cell size, the more precise the analysis. The TIN is derived from point elevations gathered from multiple sources in ArcGIS and GPS survey data (centre line, right bank, and left bank) collected with high precision along two riverbanks [18]. Flood inundation delineation is accomplished using ArcMap data exported to HEC-RAS; hence, HEC-RAS transforms and precisely identifies the right and left sides of the river.…”

Section: Flood Spread Modelingmentioning

confidence: 99%

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Flood Inundation Distribution Modelling for River Boundary Management in Cisadane Sub-Watershed

Hasibuan

Widiatmaka

Tarigan

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Cisadane watershed is one of the priority watersheds to be restored immediately. The Cisadane River has the potency to cause floods in the river’s border region due to a reduction in river width, river depth, and land-use changes. This study aims to analyze the distribution of flood inundation by employing the HEC-RAS. Flood distribution modeling using components the flood distribution in the steady flow of water level profile component. The permanent flow use is 19 January 2022 discharge. Scenarios discharge was reported with a return period of 5, 10, 25, 50 and 100 years. Digital Elevation Model (DEM), discharge, watershed boundary, and land use maps are included in the data used. The results indicated that 30 districts were affected by the flood. The extent of the annual flood inundation is predicted to expand by 24.41 hectares per year throughout each discharge period. Teluk Naga, Sepatan Timur, Paku Haji, and Neglasari Districts have the broadest and deepest probablility inundation in Tangerang Regency, with a total inundation area 644,7 hectares (permanent flow). The depth will increase from 0.40 to 1.33 m as the return period discharge rises. Tangerang Regency, located in the Lower Cisadane watershed, is the most affected area.

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Section: Flood Spread Modelingmentioning

confidence: 99%

“…(Figure 5). HEC-GeoRAS permits users to execute defined flow geometries based on their original topography, including cross-sections and banks [18].…”

Section: Flood Spread Modelingmentioning

confidence: 99%

Flood Inundation Distribution Modelling for River Boundary Management in Cisadane Sub-Watershed

Hasibuan

Widiatmaka

Tarigan

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…The use of GIS, especially in the analysis of risk scenarios, is increasing day by day because the use of remote sensing and GIS technologies together in wide geography makes this tool attractive. Desalegn et al [5] used GIS and HEC-RAS model for mapping flood inundation areas at Fetam River, Upper Abbay Basin, Ethiopia. As a result, they obtained flooded areas along the side of the Fetam River are 27.31, 24.85, 20.47, 17.34, and 13.78 km2 for 100, 50, 25, 10, and 5 years return periods, respectively.…”

Section: Introductionmentioning

confidence: 99%

Production of flood risk maps: Ayancık Stream Example

NAJATİSHENDİ

ERGENE

Uzar

et al. 2022

Mersin Photogrammetry Journal

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Natural disasters are natural events that negatively affect human life and cause material and moral damages. As in the rest of the world, one of the biggest natural disasters after earthquakes in our country is floods. The flood event turns into a disaster in cases caused by human interventions such as the change of the river bed, the increase in the construction on the river sides, the blocking of the river perpendicular to the flow direction. In this study, risk maps for floods with different return intervals (25, 50, 100 years) were produced with GIS for Ayancık stream in Sinop province. As a result, when the flood risk maps were analyzed, the regions located in the floodplain were considered as very risky regions. In addition, it was concluded that the majority of the areas affected by the floods in all three turning ranges within the scope of the study area are located in the very risky region, while the extreme risk areas are less than the other risky groups.

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“…Predicting which parts of urban area are vulnerable to a ood disaster (Indrawan and Siregar, 2018) can reduce and prevent losses due to ood damage. Accordingly, ood hazard maps are preferable for designing ood risk management plans, effectively communicating to various target groups (decision makers, emergency response units, and the public), and allowing su cient lead time for an anticipatory rather than a reactive response to a ood (Desalegn and Mulu, 2021;Olasunkanmi, 2018;Ouma and Tateishi, 2014; Pinos and Timbe, 2019; Tamiru and Dinka, 2021; Wang et al, 2018c).…”

Section: Introductionmentioning

confidence: 99%

Alternating iterative coupling of hydrological and hydrodynamic models applied to Lingjiang river basin, China

Liu

Ding

Shen

et al. 2022

Preprint

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The increasing frequency of extreme-weather flood events is attributable to climate change. In addition to constructing basic water conservancy facilities, predicting the flood inundation range is important for preemptively reducing the flood risk and guiding the formulation of government policies. Conventionally, flood routing simulation based on two-dimensional hydrodynamic simulation is applied. However, the hydrological method has inherent advantages, which can be leveraged to realize information exchange. In 2019, Typhoon Lekima caused a severe flood disaster in Taizhou, China and large-scale inundation in residential areas. In this study, this event is hydrologically and hydrodynamically modeled using HEC-WAT and other HEC platform software. Loose coupling and tight coupling are conducted via different coupling methods, and the differences between the two modeling methods are compared. It is found that tight coupling utilizes the dynamic interaction mechanism of the hydrological and hydrodynamic models, which reduces the simulation error. Similarly, the flood problem in the Taizhou area is analyzed. The two-dimensional flood routing simulation results show that the flood flows in the plain areas along the bank are within the flood area, the maximum depth of inundation in the area reaches 17.0 m, and the water level reaches 11 m. The comparative simulations show that the alternating iterative coupling of hydrological and hydrodynamic can improve the accuracy of the model simulation results.

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Mapping flood inundation areas using GIS and HEC-RAS model at Fetam River, Upper Abbay Basin, Ethiopia

Cited by 41 publications

References 12 publications

Flood Inundation Distribution Modelling for River Boundary Management in Cisadane Sub-Watershed

Flood Inundation Distribution Modelling for River Boundary Management in Cisadane Sub-Watershed

Production of flood risk maps: Ayancık Stream Example

Alternating iterative coupling of hydrological and hydrodynamic models applied to Lingjiang river basin, China

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