Predictions based on flow velocity, unit energy, and stream power are powerful, but those based on shear stress, especially on unit stream power, are relatively poor.
Fusion, advanced fission, tidal stream power and non-crop-based biofuels offer real hope for a new energy economy.
Tidal stream power systems take advantage of ocean currents to drive turbines, particularly in areas around islands or coasts where these currents are fast.
However, a prediction based on unit stream power was poor.
Cumulative logit modeling indicated that total stream power or unit stream power, unit stream power gradient, and valley confinement are significant predictors of geomorphic response for this flood event.
The result indicated that the ratio of Dc/Tc decreased with stream power, due to faster increase of Tc than of Dc with stream power.
Regression analysis indicates that the Dc by rill flow can be predicted using the linear equations of flow velocity, stream power, unit stream power, and unit energy.
These equations further define the spatial distribution pattern of stream power and help to understand stream power variability in different geological terrains.
The available stream power is proportional to the slope of the water surface and the discharge.
Engelund and Hansen (1967) derived a sediment transport equation using the concept of stream power.
The SL index is correlated with stream power (Hack, 1973; Keller and Pinter, 1996).
