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Journal of Flood Risk Management
Article . 2020 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Journal of Flood Risk Management
Article
License: CC BY
Data sources: UnpayWall
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Journal of Flood Risk Management
Article . 2020
Data sources: DOAJ
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Estimating design flood runoff volume

Authors: Vesuviano, Gianni; Stewart, Elizabeth; Young, Andrew R.;

Estimating design flood runoff volume

Abstract

AbstractStandard flood risk estimation methods in the United Kingdom have largely focused on peak flows at ungauged locations. However, the importance of whole‐hydrograph and event volume estimation in a design context is increasing with the application of unsteady‐state hydraulic models and construction of sustainable drainage systems. Here, we explore the relationship between peak flow estimation accuracy and flood volume estimation accuracy across 780 events in 81 catchments. Runoff hydrographs are modelled using ReFH2, a rainfall‐runoff model widely used by practitioners for design flood estimation in the UK. We find that strong performance in peak flow estimation is highly correlated with strong performance in event volume estimation, and that between‐event variation in performance is greater than the typical reduction in performance when moving from calibrated to design (regression‐based) model parameters. Unfortunately, evaluating model performance in terms of runoff volume is complicated by the fact that measured rainfall hyetographs and runoff hydrographs are themselves estimates that can disagree with each other for legitimate reasons. We demonstrate that it is not always possible, expected or realistic to close the water balance over an event in a topographically defined river catchment. Hence, ‘errors’ in modelled hydrographs cannot be solely attributed to modelling deficiencies.

Country
United Kingdom
Related Organizations
Keywords

TA495, rainfall‐runoff, TC530-537, hydrology, hydrological modelling, Disasters and engineering, rainfall-runoff, River protective works. Regulation. Flood control

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
Green
gold