MGB-IPH model for hydrological and hydraulic simulation of large floodplain river systems coupled with open source GIS |
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| Affiliation: | 1. Instituto de Pesquisas Hidráulicas (IPH), Universidade Federal do Rio Grande do Sul (UFRGS), Postal Code 15029, Av. Bento Gonçalves, 9500, CEP 91501-970, Porto Alegre, RS, Brazil;2. Universidade do Vale do Rio dos Sinos (UNISINOS), Postal Code 275, Av. Unisinos, 950, CEP 93022-000, São Leopoldo, RS, Brazil;3. Programa de Pós-Graduação em Engenharia Ambiental, Universidade Federal do Espírito Santo (UFES), Av. Fernando Ferrari, 514, CEP 29075-910, Vitória, ES, Brazil;1. Instituto Geofísico del Perú (IGP), Lima, Peru;2. NASA Goddard Hydrological Sciences Laboratory, Greenbelt, MD, USA;3. Earth System Science Interdisciplinary Center, College Park, MD, USA;4. Universidad Nacional Agraria La Molina, Lima, Peru;5. Servicio Nacional de Meteorología e Hidrología (SENAMHI), Lima, Peru;1. Instituto de Pesquisas Hidráulicas (IPH), UFRGS, Porto Alegre, Brazil;2. Université Paris-Saclay, INRAE, UR HYCAR, Antony, France;1. Laboratoire des Sciences de l’ingenieur, de l’informatique et de l’imagerie (ICUBE), Fluid Mechanics Team, CNRS, Universite de Strasbourg, France;2. Now at: INRAE (Irstea), Aix Marseille Univ, RECOVER, Aix-en-Provence, France;3. INSA Strasbourg, Strasbourg, France;4. Now at: HSM, Univ Montpellier, CNRS, IRD, Montpellier, France;5. Now at: LEMON, INRIA, Montpellier, France;6. ENGEES, Strasbourg, France;7. Institut de Mathematiques de Toulouse (IMT), France;8. INSA Toulouse, France;9. CS Corporation, Business Unit Espace, Toulouse, France;10. Laboratoire D’ Etudes En Geophysique et Oceanographie Spatiales (LEGOS, UMR 5566 CNES CNRS IRD UPS), France;11. Universite de Toulouse III Paul Sabatier, OMP, Toulouse, France;12. UFRJ/CPRM, Av. Pasteur 404, 22290-040 Rio de Janeiro, Brazil;13. Collecte Localisation Satellite (CLS), Toulouse, France;14. SErvice Régional de Traitement d’Image et de Télédétection (SERTIT), Université de Strasbourg, Pole API, Illkirch, France |
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| Abstract: | Large-scale hydrological models are useful tools for water resources studies, however, river network flow routing is generally represented using simplified methods, which may lead to simulation errors in flat regions. We present recent improvements to the large-scale hydrological model MGB-IPH to improve its capability of simulating large river basins with extensive floodplains. We also describe the coupling of MGB-IPH to an open source GIS and a large set of developed pre-processing tools with a user-friendly interface for remote sensing data preparation and output visualization. The new features implemented are demonstrated applying the model to the whole Araguaia river basin (380,000 km2). Results are compared to the previous MGB-IPH routing method, observed flow and water level data and remote sensing imagery, showing improvement in the representation of floodplain inundation dynamics. The test case also shows that the proposed model software framework amplifies possibilities of large-scale simulation of ungauged basins. |
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| Keywords: | Hydrological-hydrodynamic modeling MGB-IPH model GIS coupling Inertial flow routing Araguaia basin |
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