River discharge prediction for ungauged mountainous river basins during heavy rain events based on seismic noise data

A seismic signature of river bedload transport during storm events

River Discharge Time Series Prediction by Chaos Theory

The application of chaos theory in hydrology has been gaining considerable interest in recent years.Based on the chaos theory, the random seemingly series can be attributed to deterministic rules. Thedynamic structures of the seemingly complex processes, such as river flow variations, might be betterunderstood using nonlinear deterministic chaotic models than the stochastic ones. In this paper,...

Models of Fractal River Basins

Experimental analyses of river networks(1) have shown clear examples of behavior analogous to critical phenomena characterized by the absence of a single well-defined length scale reflected in a power-law behavior of various quantities. A fundamental question that arises from these observations is whether, in analogy with conventional critical phenomena, one may fruitfully classify this behavio...

Dynamic reorganization of river basins.

River networks evolve as migrating drainage divides reshape river basins and change network topology by capture of river channels. We demonstrate that a characteristic metric of river network geometry gauges the horizontal motion of drainage divides. Assessing this metric throughout a landscape maps the dynamic states of entire river networks, revealing diverse conditions: Drainage divides in t...

National Airborne Field Experiments for Prediction in Ungauged Basins

Environmental remote sensing has matured significantly over the past two decades as a result of new satellites and intensive airborne campaigns. As such, current remote sensing technology has a huge potential for hydrologic prediction in ungauged basins, through an ability to measure many land surface states, fluxes and parameters that impact on basin prediction. For instance, it is now possibl...