A downward structural sensitivity analysis of hydrological models to improve low-flow simulation
► We detail a downward approach for improving a model for low-flow simulation. ► We compare several model structures on a large set of catchments and propose an improved model version. ► We compare the model with existing ones, with satisfactory results. Better simulation and earlier prediction of r...
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Published in | Journal of hydrology (Amsterdam) Vol. 411; no. 1; pp. 66 - 76 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Kidlington
Elsevier B.V
06.12.2011
Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | ► We detail a downward approach for improving a model for low-flow simulation. ► We compare several model structures on a large set of catchments and propose an improved model version. ► We compare the model with existing ones, with satisfactory results.
Better simulation and earlier prediction of river low flows are needed for improved water management. Here, a top–down structural analysis to improve a hydrological model in a low-flow simulation perspective is presented. Starting from a simple but efficient rainfall–runoff model (GR5J), we analyse the sensitivity of low-flow simulations to progressive modifications of the model’s structure. These modifications correspond to the introduction of more complex routing schemes and/or the addition of simple representations of groundwater–surface water exchanges. In these tests, we wished to improve low-flow simulation while avoiding performance losses in high-flow conditions, i.e. keeping a general model.
In a typical downward modelling perspective, over 60 versions of the model were tested on a large set of French catchments corresponding to various low-flow conditions, and performance was evaluated using criteria emphasising errors in low-flow conditions. The results indicate that several best performing structures yielded quite similar levels of efficiency. The addition of a new flow component to the routing part of the model yielded the most significant improvement. In spite of the close performance of several model structures, we conclude by proposing a modified model version of GR5J with a single additional parameter. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0022-1694 1879-2707 |
DOI: | 10.1016/j.jhydrol.2011.09.034 |