Understanding hydrological processes with scarce data in a mountain environment
Performance of process-based hydrological models is usually assessed through comparison between simulated and measured streamflow. Although necessary, this analysis is not sufficient to estimate the quality and realism of the modelling since streamflow integrates all processes of the water cycle, in...
| Autores principales: | , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2008
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/40699 |
| _version_ | 1855521735178190848 |
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| author | Chaponnière, Anne Boulet, G. Chehbouni, Abdelghani Aresmouk, A. |
| author_browse | Aresmouk, A. Boulet, G. Chaponnière, Anne Chehbouni, Abdelghani |
| author_facet | Chaponnière, Anne Boulet, G. Chehbouni, Abdelghani Aresmouk, A. |
| author_sort | Chaponnière, Anne |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Performance of process-based hydrological models is usually assessed through comparison between simulated and measured streamflow. Although necessary, this analysis is not sufficient to estimate the quality and realism of the modelling since streamflow integrates all processes of the water cycle, including intermediate production or redistribution processes such as snowmelt or groundwater flow. Assessing the performance of hydrological models in simulating accurately intermediate processes is often difficult and requires heavy experimental investments. In this study, conceptual hydrological modelling (using SWAT) of a semi-arid mountainous watershed in the High Atlas in Morocco is attempted. Our objective is to analyse whether good intermediate processes simulation is reached when global-satisfying streamflow simulation is possible. First, parameters presenting intercorrelation issues are identified: from the soil, the groundwater and, to a lesser extent, from the snow. Second, methodologies are developed to retrieve information from accessible intermediate hydrological processes. A geochemical method is used to quantify the contribution of a superficial and a deep reservoir to streamflow. It is shown that, for this specific process, the model formalism is not adapted to our study area and thus leads to poor simulation results. A remote-sensing methodology is proposed to retrieve the snow surfaces. Comparison with the simulation shows that this process can be satisfyingly simulated by the model. The multidisciplinary approach adopted in this study, although supported by the hydrological community, is still uncommon. |
| format | Journal Article |
| id | CGSpace40699 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2008 |
| publishDateRange | 2008 |
| publishDateSort | 2008 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace406992025-06-17T08:23:33Z Understanding hydrological processes with scarce data in a mountain environment Chaponnière, Anne Boulet, G. Chehbouni, Abdelghani Aresmouk, A. hydrology simulation models calibration stream flow measurement time series analysis remote sensing precipitation water balance highlands mountains watersheds reservoirs snow cover geology topography land use soil types groundwater evapotranspiration runoff infiltration percolation Performance of process-based hydrological models is usually assessed through comparison between simulated and measured streamflow. Although necessary, this analysis is not sufficient to estimate the quality and realism of the modelling since streamflow integrates all processes of the water cycle, including intermediate production or redistribution processes such as snowmelt or groundwater flow. Assessing the performance of hydrological models in simulating accurately intermediate processes is often difficult and requires heavy experimental investments. In this study, conceptual hydrological modelling (using SWAT) of a semi-arid mountainous watershed in the High Atlas in Morocco is attempted. Our objective is to analyse whether good intermediate processes simulation is reached when global-satisfying streamflow simulation is possible. First, parameters presenting intercorrelation issues are identified: from the soil, the groundwater and, to a lesser extent, from the snow. Second, methodologies are developed to retrieve information from accessible intermediate hydrological processes. A geochemical method is used to quantify the contribution of a superficial and a deep reservoir to streamflow. It is shown that, for this specific process, the model formalism is not adapted to our study area and thus leads to poor simulation results. A remote-sensing methodology is proposed to retrieve the snow surfaces. Comparison with the simulation shows that this process can be satisfyingly simulated by the model. The multidisciplinary approach adopted in this study, although supported by the hydrological community, is still uncommon. 2008-06-15 2014-06-13T14:48:13Z 2014-06-13T14:48:13Z Journal Article https://hdl.handle.net/10568/40699 en Open Access Wiley Chaponniere, Anne; Boulet, G.; Chehbouni, A.; Aresmouk, A. 2008. Understanding hydrological processes with scarce data in a mountain environment. Hydrological Processes, 22(12):1908-1921. doi: https://doi.org/10.1002/hyp.6775 |
| spellingShingle | hydrology simulation models calibration stream flow measurement time series analysis remote sensing precipitation water balance highlands mountains watersheds reservoirs snow cover geology topography land use soil types groundwater evapotranspiration runoff infiltration percolation Chaponnière, Anne Boulet, G. Chehbouni, Abdelghani Aresmouk, A. Understanding hydrological processes with scarce data in a mountain environment |
| title | Understanding hydrological processes with scarce data in a mountain environment |
| title_full | Understanding hydrological processes with scarce data in a mountain environment |
| title_fullStr | Understanding hydrological processes with scarce data in a mountain environment |
| title_full_unstemmed | Understanding hydrological processes with scarce data in a mountain environment |
| title_short | Understanding hydrological processes with scarce data in a mountain environment |
| title_sort | understanding hydrological processes with scarce data in a mountain environment |
| topic | hydrology simulation models calibration stream flow measurement time series analysis remote sensing precipitation water balance highlands mountains watersheds reservoirs snow cover geology topography land use soil types groundwater evapotranspiration runoff infiltration percolation |
| url | https://hdl.handle.net/10568/40699 |
| work_keys_str_mv | AT chaponniereanne understandinghydrologicalprocesseswithscarcedatainamountainenvironment AT bouletg understandinghydrologicalprocesseswithscarcedatainamountainenvironment AT chehbouniabdelghani understandinghydrologicalprocesseswithscarcedatainamountainenvironment AT aresmouka understandinghydrologicalprocesseswithscarcedatainamountainenvironment |