Predicting longitudinal dispersion coefficients in sinuous rivers by genetic algorithm

Title:

Predicting longitudinal dispersion coefficients in sinuous rivers by genetic algorithm

Creator:

Sahay, Rajeev Ranjan

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:c4a0ae86-dd3c-4d17-b898-0747ec8e5af1
uuid:c4a0ae86-dd3c-4d17-b898-0747ec8e5af1
doi:10.2478/johh-2013-0028

Subject:

dispersion coefficients, dispersion, genetic algorithm, pollutant transport, and sinuous rivers

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

In the present work, existing empirical expressions for longitudinal dispersion coefficient of rivers (K) are evaluated. They are found inadequate primarily because these expressions ignore the channel sinuosity, an important parameter representing a river’s transverse irregularities that affect mixing process. Hence, a new expression for K is derived taking into account the sinuosity besides few of other hydraulic and geometric characteristics of a river. The model makes use of genetic algorithm (GA) on published field data. Based on several performance indices, the new expression is found superior to many existing expressions for estimating K. The sensitivity and error analysis conducted on parameters of the new expression show the channel sinuosity an important input for predicting K accurately. Any error in measurement of sinuosity would lead to significant deviation in the longitudinal dispersion coefficient in sinuous rivers.

Language:

Slovak

Rights:

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

Coverage:

214-221

Source:

Journal of hydrology and hydromechanics | 2013 Volume:61 | Number:3

Harvested from:

CDK

Metadata only:

false