Modeling of stage-discharge relationship in compound channels using multi-stage gene expression programming

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

ZAHIRI ABDOLREZA; Shabani Mohammad Ali

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF ECOHYDROLOGY Year:2018 | Volume:5 | Issue:1 Page(s): 37-48

Download Full-Text

Persian Verion

View:

838

Download:

Cites:

Information Journal Paper

Title

Modeling of stage-discharge relationship in compound channels using multi-stage gene expression programming

Author(s)

ZAHIRI ABDOLREZA | Shabani Mohammad Ali | Issue Writer Certificate

Keywords

Bankfull channelQ2

Flow dischargeQ2

Flooded riversQ3

Gene expression programming algorithmQ2

OptimizationQ2

Abstract

In flood conditions at the alluvial rivers with compound sections, due to momentum exchange between main channel and floodplains, Flow discharge prediction by traditional methods is very erroneous. In this paper, a new method known as multi-stage gene expression programming has been used for computation of Flow discharge in straight compound channels. For modeling, three dimensionless parameters of relative depth, coherence and relative calculated Flow discharge, and one parameter of relative measured Flow discharge were selected as inputs and output, respectively. Using 402 stage-discharge dataset from 31 laboratory and field compound channels, explicit relationships were developed for Flow discharge prediction. The mean absolute errors of this method were obtained as 10. 2% and 11. 6%, respectively for training and testing phases. Hence compared with the Manning's formula (with mean absolute error of 19. 3%), the proposed method is quit outperform. Hence, application of this method is recommended for flood Flow discharge in rivers having compound channel forms. Also, by incorporating this new idea with the computation procedures of the river water surface profiles and flood routing, the design of flood alleviation schemes will be improved.

Cites

No record.

References

No record.

Cite

APA: Copy

ZAHIRI, ABDOLREZA, & Shabani, Mohammad Ali. (2018). Modeling of stage-discharge relationship in compound channels using multi-stage gene expression programming. IRANIAN JOURNAL OF ECOHYDROLOGY, 5(1 ), 37-48. SID. https://sid.ir/paper/253995/en

Vancouver: Copy

ZAHIRI ABDOLREZA, Shabani Mohammad Ali. Modeling of stage-discharge relationship in compound channels using multi-stage gene expression programming. IRANIAN JOURNAL OF ECOHYDROLOGY[Internet]. 2018;5(1 ):37-48. Available from: https://sid.ir/paper/253995/en

IEEE: Copy

ABDOLREZA ZAHIRI, and Mohammad Ali Shabani, “Modeling of stage-discharge relationship in compound channels using multi-stage gene expression programming,” IRANIAN JOURNAL OF ECOHYDROLOGY, vol. 5, no. 1 , pp. 37–48, 2018, [Online]. Available: https://sid.ir/paper/253995/en

Related Journal Papers