Cloke, H. L.
ORCID: https://orcid.org/0000-0002-1472-868X, Pappenberger, F. and Renaud, J.-P.
(2008)
Multi-method global sensitivity analysis (MMGSA) for modelling floodplain hydrological processes.
Hydrological Processes, 22 (11).
pp. 1660-1674.
ISSN 0885-6087
doi: 10.1002/hyp.6734
Abstract/Summary
When studying hydrological processes with a numerical model, global sensitivity analysis (GSA) is essential if one is to understand the impact of model parameters and model formulation on results. However, different definitions of sensitivity can lead to a difference in the ranking of importance of the different model factors. Here we combine a fuzzy performance function with different methods of calculating global sensitivity to perform a multi-method global sensitivity analysis (MMGSA). We use an application of a finite element subsurface flow model (ESTEL-2D) on a flood inundation event on a floodplain of the River Severn to illustrate this new methodology. We demonstrate the utility of the method for model understanding and show how the prediction of state variables, such as Darcian velocity vectors, can be affected by such a MMGSA. This paper is a first attempt to use GSA with a numerically intensive hydrological model
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| Item Type | Article |
| URI | https://reading-clone.eprints-hosting.org/id/eprint/39930 |
| Identification Number/DOI | 10.1002/hyp.6734 |
| Refereed | Yes |
| Divisions | Interdisciplinary Research Centres (IDRCs) > Walker Institute Science > School of Archaeology, Geography and Environmental Science > Earth Systems Science Science > School of Archaeology, Geography and Environmental Science > Department of Geography and Environmental Science Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology |
| Uncontrolled Keywords | global sensitivity analysis; sensitivity measures; floodplain hydrology; finite element; ESTEL-2D; hydrological processes; fuzzy performance; Darcian velocity |
| Publisher | Wiley InterScience |
| Download/View statistics | View download statistics for this item |
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