Matches in SemOpenAlex for { <https://semopenalex.org/work/W2997433716> ?p ?o ?g. }
- W2997433716 endingPage "124508" @default.
- W2997433716 startingPage "124508" @default.
- W2997433716 abstract "The increasing availability of high-resolution terrain data fostered the development of two-dimensional hydrodynamic-based surface runoff models at basin scale, for flood hazard assessment and mapping purposes. The generation of the computational domain is one of the most important preliminary steps for practical applications of this kind of modeling. Several studies can be found in the technical literature showing the influence exerted by the computational grid type used on the results in terms of water depth, flow velocity and discharge. Several approaches were proposed for the mesh generation even though, in practice, it is subject to the modeller choice and experience. In any case, the reason why a specific mesh is used is rarely discussed and its impact on the model results in terms of outflow hydrographs, runoff volumes and flooded areas extent is seldom analysed. In this work a rigorous approach for an a priori design of a computational grid is proposed. The a priori term suggests that the proposed procedure aims at generating a computational mesh, close to the optimal one, in a time-saving process which is not based on trial meshes and trial simulations. Namely, the process is based on the application of the two-dimensional Fourier analysis to a high-resolution digital elevation model in order to compute the power spectrum and finally to identify the significant waves lengths and the characteristic scales. The latter ones are located in the catchment and used for the generation of a computational grid characterized by different elements size. The simulations of surface runoff at a basin scale have shown that the application of the proposed method for the a priori construction of the grid leads to the generation of a computational mesh which reduces the calculation time by approximately 87%, if compared to a fine grid taken as reference, with negligible errors on outflow hydrographs and flooded areas extent." @default.
- W2997433716 created "2020-01-10" @default.
- W2997433716 creator A5004011680 @default.
- W2997433716 creator A5027168007 @default.
- W2997433716 creator A5048514891 @default.
- W2997433716 creator A5061265562 @default.
- W2997433716 creator A5087461456 @default.
- W2997433716 date "2020-03-01" @default.
- W2997433716 modified "2023-09-26" @default.
- W2997433716 title "A spectral analysis approach for the a priori generation of computational grids in the 2-D hydrodynamic-based runoff simulations at a basin scale" @default.
- W2997433716 cites W1139385156 @default.
- W2997433716 cites W1576389639 @default.
- W2997433716 cites W1830585016 @default.
- W2997433716 cites W1967598225 @default.
- W2997433716 cites W1988863407 @default.
- W2997433716 cites W1992290075 @default.
- W2997433716 cites W1992683902 @default.
- W2997433716 cites W2006231227 @default.
- W2997433716 cites W2008338866 @default.
- W2997433716 cites W2013233462 @default.
- W2997433716 cites W2020949446 @default.
- W2997433716 cites W2023458376 @default.
- W2997433716 cites W2030359906 @default.
- W2997433716 cites W2041226607 @default.
- W2997433716 cites W2045202089 @default.
- W2997433716 cites W2046536479 @default.
- W2997433716 cites W2047195451 @default.
- W2997433716 cites W2049247955 @default.
- W2997433716 cites W2050901580 @default.
- W2997433716 cites W2053020576 @default.
- W2997433716 cites W2055455766 @default.
- W2997433716 cites W2059735133 @default.
- W2997433716 cites W2070536400 @default.
- W2997433716 cites W2073597338 @default.
- W2997433716 cites W2082289862 @default.
- W2997433716 cites W2082655554 @default.
- W2997433716 cites W2085182879 @default.
- W2997433716 cites W2085243693 @default.
- W2997433716 cites W2089712536 @default.
- W2997433716 cites W2093572647 @default.
- W2997433716 cites W2099566964 @default.
- W2997433716 cites W2108672393 @default.
- W2997433716 cites W2111460811 @default.
- W2997433716 cites W2126715275 @default.
- W2997433716 cites W2144213950 @default.
- W2997433716 cites W2144221821 @default.
- W2997433716 cites W2144768175 @default.
- W2997433716 cites W2159248218 @default.
- W2997433716 cites W2168466433 @default.
- W2997433716 cites W2298178723 @default.
- W2997433716 cites W2321814559 @default.
- W2997433716 cites W2418018006 @default.
- W2997433716 cites W2460511561 @default.
- W2997433716 cites W2463319438 @default.
- W2997433716 cites W2466177193 @default.
- W2997433716 cites W2479955877 @default.
- W2997433716 cites W2519812196 @default.
- W2997433716 cites W2530423770 @default.
- W2997433716 cites W2606983391 @default.
- W2997433716 cites W2752525416 @default.
- W2997433716 cites W2771024073 @default.
- W2997433716 cites W2789927731 @default.
- W2997433716 cites W2792855190 @default.
- W2997433716 cites W2802074704 @default.
- W2997433716 cites W2884549184 @default.
- W2997433716 cites W2890500711 @default.
- W2997433716 cites W2899934185 @default.
- W2997433716 cites W2900391132 @default.
- W2997433716 cites W2902747082 @default.
- W2997433716 cites W2912539790 @default.
- W2997433716 cites W2916291895 @default.
- W2997433716 cites W2925013667 @default.
- W2997433716 cites W2948264248 @default.
- W2997433716 cites W2949312877 @default.
- W2997433716 cites W2965598025 @default.
- W2997433716 cites W2969659394 @default.
- W2997433716 cites W2980493022 @default.
- W2997433716 cites W4245037559 @default.
- W2997433716 doi "https://doi.org/10.1016/j.jhydrol.2019.124508" @default.
- W2997433716 hasPublicationYear "2020" @default.
- W2997433716 type Work @default.
- W2997433716 sameAs 2997433716 @default.
- W2997433716 citedByCount "29" @default.
- W2997433716 countsByYear W29974337162020 @default.
- W2997433716 countsByYear W29974337162021 @default.
- W2997433716 countsByYear W29974337162022 @default.
- W2997433716 countsByYear W29974337162023 @default.
- W2997433716 crossrefType "journal-article" @default.
- W2997433716 hasAuthorship W2997433716A5004011680 @default.
- W2997433716 hasAuthorship W2997433716A5027168007 @default.
- W2997433716 hasAuthorship W2997433716A5048514891 @default.
- W2997433716 hasAuthorship W2997433716A5061265562 @default.
- W2997433716 hasAuthorship W2997433716A5087461456 @default.
- W2997433716 hasConcept C111472728 @default.
- W2997433716 hasConcept C11413529 @default.
- W2997433716 hasConcept C121332964 @default.
- W2997433716 hasConcept C126255220 @default.
- W2997433716 hasConcept C127313418 @default.