July 7, 2023 Journal article Open Access

Melaku Wendachew Gashu; Gashaw Sintayehu; Alemshet Belayneh; Kefale Munye

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        <foaf:name>Melaku Wendachew Gashu</foaf:name>
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        <foaf:name>Gashaw Sintayehu</foaf:name>
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        <foaf:name>Alemshet Belayneh</foaf:name>
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        <foaf:name>Kefale Munye</foaf:name>
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    <dct:title>Assessment of River Bank Overtopping the Problem Using HEC‑RAS (in the case of Sedie River, Abbay Basin, Ethiopia)</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2023</dct:issued>
    <dcat:keyword>Arc GIS · Flood mapping · HEC GEOHMS · HEC HMS · HEC RA</dcat:keyword>
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    <dct:description>&lt;p&gt;Flood forecasting is an important mechanism to prevent and manage the consequences of food damage problems in agricultural areas. This study focuses on the assessment of the Sedie River fooding problem by preparing food inundation maps for different return periods. Different models including the hydraulic model HEC Ras and hydrological model HEC HMS with the integration of ArcGIS, HEC GEOHMS, and Ras Mapper tools were used for conducting this study. Primary data, surveyed river cross section, and secondary data such as rainfall, stream fow, DEM, land use/land cover, and soil type data were collected and used for the study. Totally around 8 years of observed flow data 5 years (1996&amp;ndash;2000) for calibration and 3 years (2001&amp;ndash;2003) for validation purposes was used. After the analysis of the data, it was found that HEC HMS calibration and validation results were good, and the performance of the model checked with the coefcient of determination and&lt;br&gt; Nash&amp;ndash;Sutclife with a good result of 0.84 and 0.83 for calibration and 0.74 and 0.73 for validation, respectively. Due to the unavailability of the observed water level and rating curves in the study area, the HEC RAS model calibration and validation result was compared qualitatively, and the relatively good results were obtained. The calibrated manning roughness for the left and right banks obtained 0.035 and 0.025 for the main channel of the river. The food inundation map was prepared by using the Ras Mapper tool, and different food inundation map results for different return periods were obtained. The food inundation map shows that for especially 50- and 100-year return periods, the food damages 177.22 ha and 280.78 ha of farming areas, respectively. Therefore, in order to mitigate these damages, structural and non-structural measures were recommended depending upon the severity of damage at each station.&lt;/p&gt;</dct:description>
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