The joint probability distribution of runoff and sediment and its change characteristics with multi-time scales

Title:

The joint probability distribution of runoff and sediment and its change characteristics with multi-time scales

Creator:

Zhang, Jinping, Ding, Zhihong, and You, Jinjun

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:f243439b-d091-4d95-a8f1-154c760c9227
uuid:f243439b-d091-4d95-a8f1-154c760c9227
doi:10.2478/johh-2014-0024

Subject:

runoff, sediment, joint probability distribution, copula, and empirical mode decomposition method

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

River runoff and sediment transport are two related random hydrologic variables. The traditional statistical analysis method usually requires those two variables to be linearly correlated, and also have an identical marginal distribution. Therefore, it is difficult to know exactly the characteristics of the runoff and sediment in reality. For this reason, copulas are applied to construct the joint probability distribution of runoff and sediment in this article. The risk of synchronous-asynchronous encounter probability of annual rich-poor runoff and sediment is also studied. At last, the characteristics of annual runoff and sediment with multi-time scales in its joint probability distribution space are simulated by empirical mode decomposition method. The results show that the copula function can simulate the joint probability distribution of runoff and sediment of Huaxia hydrological station in Weihe River well, and that such joint probability distribution has very complex change characteristics at time scales.

Language:

Slovak

Rights:

http://creativecommons.org/licenses/by-nc-sa/4.0/
policy:public

Coverage:

218-225

Source:

Journal of hydrology and hydromechanics | 2014 Volume:62 | Number:3

Harvested from:

CDK

Metadata only:

false