2014
DOI: 10.1002/esp.3552
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Impact of channel bar form and grain size variability on estimated stranding risk of juvenile brown trout during hydropeaking

Abstract: Hydropeaking leads to artificial fluctuations in discharge and corresponding water levels with pronounced dewatering areas between base and peak flow along gravel bars and channel banks. In the present study, 16 hydropeaking reaches in Austria were investigated to assess possible differences in the estimated stranding risk for young of the year brown trout according to different gravel bar types and differences in microtopography roughness. Based on hydrodynamic-numerical modelling, a predictive habitat modell… Show more

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Cited by 75 publications
(100 citation statements)
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References 62 publications
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“…The proposed modelling approach allows highlighting trends in the eco‐hydraulic response of a river reach along a gradient of different channel morphologies, from almost flat bed to braiding. Overall, the eco‐hydraulic response shows a high degree of nonlinearity in behaviour, in qualitative agreement with the findings of Hauer et al ().…”
Section: Discussionsupporting
confidence: 91%
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“…The proposed modelling approach allows highlighting trends in the eco‐hydraulic response of a river reach along a gradient of different channel morphologies, from almost flat bed to braiding. Overall, the eco‐hydraulic response shows a high degree of nonlinearity in behaviour, in qualitative agreement with the findings of Hauer et al ().…”
Section: Discussionsupporting
confidence: 91%
“…They simulated almost identical hydropeaking intensities (1:3, 1:5 and 1:10) to the present analysis, occurring over several sites with different bar morphologies in regulated Austrian rivers. The outcome of the stranding risk model of Hauer et al () highlights a qualitatively analogous contrasting effect of gravel bar morphology with respect to the one emerging from the present analysis: simpler morphologies, found in more regulated reaches, featured the smallest reduction in wetted area, coherently with the blue region in our Figure c. However, the same morphologies are also characterized by the absence of minimum suitable habitats, as it also emerges from our Figure a,b at both base and peak flows.…”
Section: Discussionsupporting
confidence: 85%
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“…In such semi-natural or regulated rivers there are huge declines in available and suitable habitats if the wetted width has already reached the banks. The increase in fast run habitats (flow velocity > 1 ms −1 ) with increasing flow is dominantly reducing shallow water-and backwater-areas to almost zero due to the regulated banks [101] or is causing excessive downstream drift of juvenile fish. Thus, a stable overall habitat distribution at the reach scale is an indicator for the quality of the investigated study area as a natural self-forming reach of the Pielach River.…”
Section: Habitatsmentioning
confidence: 99%
“…En particulier, le modèle numérique Evha ne fait plus l'objet de suivi et ne permet pas de modélisation numérique bidimensionnelle (2D) des écoulements. Or, les modélisations 2D sont particulièrement utiles dans certaines situations comme la prédiction des effets de restaurations physiques, les études comportementales ou la modélisation des impacts des éclusées (Capra et al, 2011 ;Hauer et al, 2014). Plusieurs pistes sont envisagées pour faire évoluer le panel de modèles d'habitat disponibles.…”
Section: Conclusion : Rôle Actuel Et Futur Des Modéles D'habitatunclassified