Publication

Approximate solution of the probability density function of bedload transport rate over multiple time scales.

2013
Talks

Abstract

Bedload transport rate in mountain rivers is highly fluctuating and has strong stochastic behavior even under steady flow conditions. Its stochastic description thus offers deeper insights into its dynamics than the deterministic one. As a random quantity, it is sampled from experimental devices at a given time resolution i.e. the sampling time scale. Previous studies showed that bedload transport behaves as a scale-dependent process. (Singh et al., 2009). In this study, we report bedload transport rate characteristics over different sampling time scales from an experimental study. Then, starting from Ancey’s Markov model (Ancey et al., 2008), we propose a theoretical expression for bedload transport rate that is valid across multiple sampling time scales.

Official source

https://infoscience.epfl.ch/entities/publication/85488916-919a-45af-b83a-c680ff7fa519

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2013
Talks

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/85488916-919a-45af-b83a-c680ff7fa519

About this result

Related concepts (32)

Stochastic process

In probability theory and related fields, a stochastic (stəˈkæstɪk) or random process is a mathematical object usually defined as a sequence of random variables, where the index of the sequence has the interpretation of time. Stochastic processes are widely used as mathematical models of systems and phenomena that appear to vary in a random manner. Examples include the growth of a bacterial population, an electrical current fluctuating due to thermal noise, or the movement of a gas molecule.

Geologic time scale

The geologic time scale or geological time scale (GTS) is a representation of time based on the rock record of Earth. It is a system of chronological dating that uses chronostratigraphy (the process of relating strata to time) and geochronology (scientific branch of geology that aims to determine the age of rocks). It is used primarily by Earth scientists (including geologists, paleontologists, geophysicists, geochemists, and paleoclimatologists) to describe the timing and relationships of events in geologic history.

Probability density function

In probability theory, a probability density function (PDF), density function, or density of an absolutely continuous random variable, is a function whose value at any given sample (or point) in the sample space (the set of possible values taken by the random variable) can be interpreted as providing a relative likelihood that the value of the random variable would be equal to that sample.

Related publications (2)

Approximate solution of the probability density function of bedload transport rate over multiple time scales.

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