Flood-inundation modeling in an operational context: sensitivity to topographic resolution and Manning's n
| العنوان: | Flood-inundation modeling in an operational context: sensitivity to topographic resolution and Manning's n |
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| المؤلفون: | Shawn Carter, Michael Follum, Sarah Praskievicz, Juzer Dhondia |
| المصدر: | Journal of Hydroinformatics. 22:1338-1350 |
| بيانات النشر: | IWA Publishing, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Atmospheric Science, 010504 meteorology & atmospheric sciences, Flood myth, Context sensitivity, Resolution (electron density), 0207 environmental engineering, 02 engineering and technology, Geotechnical Engineering and Engineering Geology, 01 natural sciences, Environmental science, 020701 environmental engineering, 0105 earth and related environmental sciences, Civil and Structural Engineering, Water Science and Technology, Remote sensing |
| الوصف: | Streamflow forecasts from operational hydrologic models can be converted into forecasts of flood-inundation extent using either physically based hydraulic models or simpler terrain-based approaches. Two factors that influence simulated flood-inundation extent are spatial resolution of topographic data and in-channel and overland-flow roughness characterized by the Manning's n parameter. Here, AutoRoute, a raster-based flood-inundation model, was used to simulate two recent flood events in Florida (a forested floodplain) and Texas (an urban floodplain) using two different topographic resolutions and a range of Manning's n values. The AutoRoute-simulated flood-inundation extents were evaluated using observed extents from remotely sensed imagery. For comparison, the same flood events were also simulated using a one-dimensional Hydrologic Engineering Center River Analysis System (HEC-RAS) model. Results indicated that model performance was much improved with higher topographic resolution for the forested floodplain site and that the urban site was more sensitive to Manning's n. For the three different rivers analyzed, the fit for HEC-RAS was 5–10% higher than that for AutoRoute. Despite being only slightly less accurate than HEC-RAS in its simulation of flood extent, AutoRoute was much simpler to set up and required less computational time to run. |
| تدمد: | 1465-1734 1464-7141 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::60161fc3d5036043e0eb267ee736a21d https://doi.org/10.2166/hydro.2020.005 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........60161fc3d5036043e0eb267ee736a21d |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 14651734 14647141 |
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