Apportioning non-linearity in conceptual rainfall-runoff models: examples from upland UK catchments

McIntyre, Neil (2013) Apportioning non-linearity in conceptual rainfall-runoff models: examples from upland UK catchments. Hydrology Research, 44 6: 965-981. doi:10.2166/nh.2013.184


Author McIntyre, Neil
Title Apportioning non-linearity in conceptual rainfall-runoff models: examples from upland UK catchments
Journal name Hydrology Research   Check publisher's open access policy
ISSN 1998-9563
Publication date 2013-01-01
Year available 2013
Sub-type Article (original research)
DOI 10.2166/nh.2013.184
Open Access Status Not Open Access
Volume 44
Issue 6
Start page 965
End page 981
Total pages 17
Place of publication London, United Kingdom
Publisher I W A Publishing
Language eng
Formatted abstract
Rainfall–runoff modellers distinguish between flow generation and flow routing processes, and many models treat the two types of process independently. These models commonly assume that the dominant non-linearity in the rainfall–flow response resides in the flow generation process. This paper revisits three upland UK catchments where such an assumption has previously been made and explores the apportioning of non-linearity, its identifiability and how it is affected by catchment type, season, data time-resolution, objective function and model equations. The catchments showed stronger routing non-linearity than expected and comparatively little non-linearity in flow generation both in wet winter periods and in mixed wet-dry summer periods, although in one catchment this result was sensitive to a modification of the model equations. Aggregating data to time resolutions approaching the response times of the catchments makes the flow generation appear more non-linear that it actually is, less so if performance is assessed using log-transformed flows. In cases, using conceptually distinct models achieved similar Nash–Sutcliffe efficiency (NSE) performances; however, using a single non-linear routing function with a linear or near-linear loss model was considered the most efficient overall. Using this model, NSE values of up to 0.99 were obtained.
Keyword Hodder
kinematic
lumped models
Pontbren
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Non HERDC
Sustainable Minerals Institute Publications
 
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