Download e-book for kindle: Advances in Hydroinformatics: SIMHYDRO 2012 – New Frontiers by Philippe Gourbesville, Jean Cunge, Guy Caignaert

By Philippe Gourbesville, Jean Cunge, Guy Caignaert

ISBN-10: 981445141X

ISBN-13: 9789814451413

ISBN-10: 9814451428

ISBN-13: 9789814451420

The booklet is a suite of prolonged papers which were chosen for presentation through the SIMHYDRO 2012 convention held in Sophia Antipolis in September 2012. The papers current the cutting-edge numerical simulation in domain names akin to (1) New tendencies in modelling for marine, river & city hydraulics; (2) Stakeholders & practitioners of simulation; (3) 3D CFD & purposes. All papers were peer reviewed and by way of medical committee contributors with file approximately caliber, content material and originality. the objective viewers for this ebook contains scientists, engineers and practitioners keen on the sphere of numerical modelling within the water region: flood administration, ordinary assets protection, hydraulic machineries, and innovation in numerical equipment, 3D advancements and functions.

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Additional info for Advances in Hydroinformatics: SIMHYDRO 2012 – New Frontiers of Simulation

Sample text

MIKE 21 has nevertheless, up to a 4 % mass creation for S3 scenario after a 30-min-long simulation. This is due to the fact that spurious oscillations are more important with this model and negatives water depths are reset to a small positive value, therefore creating mass in models. s-1), and no artificial polarization is detected. A sound check of concentration time and lag time was done as well, and values calculated from models results are comparable with results calculated from empirical formula estimations.

28 M. Abily et al. Fig. 6 Average of complete 2D SWEs-based models hmax values, reached at 10 points for the three scenarios, with bars indicating maximal hmax and minimal hmax values reached by models Regarding tested numerical modeling tools, MIKE SHE was used and configured with the aim to get quick results and to see if a diffusive wave assumption– based model use was acceptable for our approach. Though roughly matching with the results we get with other complete 2D SWEs–based models, some areas around buildings which are founded to be flooded with other models are not with MIKE SHE.

Hydrosedimentary modelling, notably using RubarBE by Irstea, who are supported by the CNR-jointly financing several PhD on the subject. 3 The Data The data used in the hydraulic models of the Rhône come from a number of sources: • Topological data are produced by the CNR’s metrological teams or acquired from third parties, principally IGN. The data are also gleaned from terrestrial surveys, photogrammetry and, increasingly, from the use of LIDAR. , the tops of dykes). • The bathymetric data are, in the main, produced by CNR itself, using its hydrographic survey vessel [1].

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Advances in Hydroinformatics: SIMHYDRO 2012 – New Frontiers of Simulation by Philippe Gourbesville, Jean Cunge, Guy Caignaert


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