Species-specific Susceptibility to Scale Loss: Using Simulated Shear to Understand Among Species Differences in Turbine Passage Injury

Hydropower is the largest source of utility-scale, renewable electricity (e.g., 44% of all renewable energy) in the USA to date (U.S. Energy Information Administration (USEIA), 2017); however, dam installation and operation have impacted natural upstream and downstream fish passage and altered connectivity of riverine fish communities throughout the USA (Čada, 1998; Čada et al., 2006; Pracheil et al., 2016a). Fish ladders and exclusion devices (among others) allow fish to safely circumvent and avoid passage through the turbines altogether (Čada, 2001), but are rarely 100% effective. At many dams, passage through turbines is unavoidable, and stressors like collision with structures or blade strike, barotrauma or cavitation, turbulence, and exposure to shear forces may cause injury or mortality to entrained fish (Čada, 2001; Neitzel et al., 2004; Pracheil et al., 2016a). Passage injury and mortality may be a consequence of exposure to the entire suite of stressors, while the exact role of each is difficult to ascertain and link to individuals (Colotelo et al., 2017). Contributing complicating factors to understanding mortality include turbine type, variation in fish size (i.e., life stages), and the marked morphological diversity of freshwater fishes (Pracheil et al., 2016a; Colotelo et al., 2017). Laboratory studies aimed to understand the effects of turbine passage have quantified each stressor separately to determine appropriate dose-response relationships based on fish size, species, etc. Establishing dose-response relationships by stressor for priority species that interact with hydropower dams is one of the primary objectives of the Biologicallybased Design and Evaluation (BioDE) project being conducted at Oak Ridge National Laboratory (ORNL) and Pacific Northwest National Laboratory (PNNL). At its core, BioDE is focused on empirically driven research that quantifies fish responses to stressors at exposure levels similar to those experienced during turbine passage so that Biological Performance Assessment (BioPA) models can be developed. The BioPA model informs hydropower turbine design modifications based on predicted injury and mortality in response to various stressor exposures, e.g., blade strike, shear, and barotrauma. Stress exposure is defined by computational fluid dynamics models of the turbine environment. Fish response relationships are determined through laboratory studies like the one reported in this document. The BioPA model will aid turbine manufactures, plant operators, and dam owners with design of lower impact turbines and modify operating procedures to maximize survival of entrained fishes.