River2D

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Quick summary

Figure 1: River 2D layout images: (a) R2D_Bed; (b) R2D_Mesh; and (c) River2D.
Figure 2: Water depth (m) output from River 2D. Ocreza River, Portugal.
Figure 3: Water velocity (m/s) output from River 2D. Ocreza River, Portugal.
Figure 4: Weighted Usable Area (WUA) (m2) for the European Eel. Ocreza River, Portugal.
Figure 5: Weighted Usable AreaWUA (m2) and discharge in the Ocreza River for Iberian barbel (adult and juvenile), European eel (adult and juvenile) and Gudgeon.

Developed by: Freshwater Institute in Winnipeg, Civil and Environmental Department of the University of Alberta in Edmonton, Midcontinent Ecological Science Center of the U.S. Geological Survey in Ft. Collins, and Fisheries Division of the Alberta Government in Cochrane.

Date: 2002

Type: Tool

Introduction

The River 2D is a two dimensional depth-averaged finite element hydrodynamic model that has been customized for fish habitat evaluation studies (Steffler, 2000). The River2D model simulates hydraulic conditions in natural rivers from topographic data input, and uses the habitat suitability curves containing known biological preference data, to calculate the potential habitat for specific species life-history stages by obtaining the Weighted Usable Area (WUA).

The model suite consists of four programs: R2D_Bed, R2D_Ice, R2D_Mesh and River2D (Figure 1). R2D_Bed was designed for editing bed topography data while R2D_Ice is intended for developing ice topographies to be used in the modelling of ice-covered domains. The R2D_Mesh program is used for the development of computational meshes that will ultimately be input for River2D. The latter is then used to solve for the water depths and velocities using the 2D shallow water equations throughout the discretized domain. The habitat model to calculate the WUA is incorporated in the River2D program.


Application

The River2D computes the water depths and velocities for any point in the river reach. The final goal is to calculate the WUA for a given fish species and life-stages by using Habitat Suitability Curves.

As input data, the model requires channel bed topography, roughness and transverse eddy viscosity distributions, boundary conditions, and initial flow conditions. Boundary conditions usually take the form of a specified total discharge at inflow sections and fixed water surface elevations at outflow sections. Locating flow boundaries some distance away from areas of interest is important to reduce the effect of boundary conditions uncertainties. The 2D finite element model works with a triangular irregular mesh.

Topography forms the template of the modelling mesh which is draped over the boundary surface and which forms the basis for the numerical solution to the governing flow equations. The challenge of building a mesh is to distribute the nodes in such a way that the most accurate solution is obtained for a particular purpose. Closely spaced nodes in areas of high interest, gradual changes in node spacing, and regularity of elements are important considerations.

Outputs from the model are two (horizontal) velocity components and a depth at each point or node (Figure 2 and Figure 3). Velocity distributions in the vertical are assumed to be uniform and pressure distributions are assumed to be hydrostatic.

The fish habitat component of River2D is based on the Weighted Usable Area (WUA) (Bovee et al., 1998) concept used in the PHABSIM family of fish habitat models. The WUA is calculated as an aggregate of the product of a Composite Suitability Index (CSI, range 0.0 - 1.0) evaluated at every node in the domain and the "tributary area" associated with that node in the finite element mesh. The Suitability Index (SI) for each parameter is evaluated by linear interpolation from an appropriate Habitat Suitability Curves (HSC) to be supplied separately. Velocities and depths are taken directly from the hydrodynamic component of the model. The channel index values may depend on channel substrate or cover for different fish species and life stages. These values are interpolated from a separate channel index file to the computational nodes. The interpolation may be linear (continuous) or nearest neighbour (discrete). At the last stage, the River 2D computes the WUA (Figure 4) as the product, harmonic mean, or minimum value.

For habitat studies, the assumption is that the habitat is optimal when it reaches a maximum value of WUA (Figure 5).

The River 2D has been widely used to access the environmental flows (Rivaes et al., 2017), to study fish movements due to hydropeaking (Boavida et al., 2017; Yarnell et al., 2012), to calculate the suitability of spawning grounds (Gard, 2009), and for river restoration studies (Boavida et al., 2010; García de Jalón and Gortázar, 2007; Lacey and Millar, 2004).

Relevant mitigation measures and test cases

Relevant measures
Baffle fishways
Bottom-type intakes (Coanda screen, Lepine water intake, etc)
Bypass combined with other solutions
Complete or partial migration barrier removal
Construction of a 'river-in-the-river'
Construction of off-channel habitats
Environmental design of embankments and erosion protection
Fish guidance structures with narrow bar spacing
Fish refuge under hydropeaking conditions
Migration barrier removal
Mitigating rapid, short-term variations in flow (hydro-peaking operations)
Mitigating reduced annual flow and low flow measures
Mitigating reduced flood peaks, magnitudes, and frequency
Nature-like fishways
Other types of fine screens
Placement of dead wood and debris
Placement of spawning gravel in the river
Placement of stones in the river
Pool-type fishways
Removal of weirs
Restoration of the riparian zone vegetation
Vertical slot fishways
Relevant test cases Applied in test case?
Altheim test case -
Altusried test case -
Anundsjö test case -
Bragado test case -
Freudenau test case -
Gotein test case -
Guma and Vadocondes test cases Yes
Günz test case -
Ham test case -
Las Rives test case -
Trois Villes test case -

Other information

River 2D is a freeware available on the internet: http://www.river2d.ualberta.ca/

Relevant literature

  • Boavida, I., Harby, A., Clarke, K.D., Heggenes, J., 2017. Move or stay: habitat use and movements by Atlantic salmon parr (Salmo salar) during induced rapid flow variations. Hydrobiologia 785, 261–275. https://doi.org/10.1007/s10750-016-2931-3
  • Boavida, I., Santos, J.M., Cortes, R., Pinheiro, A.N., Ferreira, M.T., 2010. Assessment of instream structures for habitat improvement for two critically endangered fish species. Aquat. Ecol. 45, 113–124. https://doi.org/10.1007/s10452-010-9340-x
  • Bovee, K.D., Lamb, B.L., Bartholow, J.M., Stalnaker, C.B., Taylor, J., Henriksen, J., Tatlor, J., Henriksen, J., 1998. Stream Habitat Analysis using the Instream Flow Incremental Methodology. U.S. Goelogical Surv. Biol. Resour. Div. Inf. Technol. Rep.
  • García de Jalón, D., Gortázar, J., 2007. Evaluation of instream habitat enhancement options using fish habitat simulations: case-studies in the river Pas (Spain). Aquat. Ecol. 41, 461–474. https://doi.org/10.1007/s10452-006-9030-x
  • Rivaes, R., Boavida, I., Santos, J.M., Pinheiro, A.N., Ferreira, T., 2017. Importance of considering riparian vegetation requirements for the long-term efficiency of environmental flows in aquatic microhabitats. Hydrol. Earth Syst. Sci. 21. https://doi.org/10.5194/hess-21-5763-2017
  • Steffler, P., 2000. Software River2D. Two Dimensional Depth Averaged Finite Element Hydrodynamic Model. University of Alberta, Canada.
  • Yarnell, S.M., Lind, A.J., Mount, J.F., 2012. DYNAMIC FLOW MODELLING OF RIVERINE AMPHIBIAN HABITAT WITH APPLICATION TO REGULATED FLOW MANAGEMENT. River Res. Appl. 177–191. https://doi.org/10.1002/rra

Contact information

http://www.river2d.ualberta.ca/