Depth-dependent hydraulic roughness and its impact on the assessment of hydropeaking

• Published in: The Science of the total environment 2017-01, Vol.575, p.1597-1605
• Main Authors: Kopecki, Ianina, Schneider, Matthias, Tuhtan, Jeffrey A.
• Format: Article
• Language: English
• Subjects: Depth-dependent roughness; Hydropeaking; Log-law; Manning's roughness coefficient; Model calibration; Two-dimensional model
• ISSN: 0048-9697; 1879-1026
• DOI: 10.1016/j.scitotenv.2016.10.110

Hydrodynamic river models in combination with physical habitat modelling serve as the basis for a wide spectrum of environmental studies. Larvae, juvenile and spawning fish, redds and benthic invertebrates belong to the biological groups most heavily affected by rapid flow variations as a consequence of peaking energy production, or “hydropeaking”. As these species find their preferential habitat to a great extent in shallow regions, high prediction accuracy for these areas is essential to substantiate the use of hydrodynamic models. In this paper, a new formulation for the depth-dependent roughness originating from the boundary layer theory is derived. The modelling approach is based on the concept of a dynamic, spatio-temporal Manning's roughness which allows for considerable improvement in the accuracy of stationary and highly transient hydrodynamic simulations in shallow river areas. In addition, the approach facilitates more effective model calibration, as it allows for the preservation of the roughness sublayer thickness as a single calibration parameter for the entire range of hydropeaking discharges. The approach is tested and validated on a 7.5km long stretch of a middle-size gravel river affected by hydropeaking. Model results using conventional constant roughness and the proposed dynamic roughness approaches are compared. The implications for the stationary habitat assessment and calculation of dynamic hydropeaking parameters are analysed as well. [Display omitted] •A new depth-dependent roughness coefficient is proposed.•Spatiotemporal accuracy of transient flow models increases.•Hydropeaking assessment can be improved concerning hydraulics in dewatering areas.