• Register
  • Login
  • Persian

Journal of Range and Watershed Managment

  1. Home
  2. Comparison the efficiency of M5 and Genetic Programming on Suspended Sediment Load Estimation of Rivers

Current Issue

By Issue

By Author

Author Index

Keyword Index

About Journal

Aims and Scope

Editorial Board

Publication Ethics

Indexing and Abstracting

Related Links

FAQ

Peer Review Process

News

Journal Metric

Superior reviewers

Reviewers

Guide for Reviewers

Comparison the efficiency of M5 and Genetic Programming on Suspended Sediment Load Estimation of Rivers

    Authors

    • javad zahiri 1
    • hadis shahrokhi 2
    • Ahmad Jafari 3

    1 Assistant Professor, Khuzestan Ramin Agriculture and Natural Resources University

    2 Graduate from Ramin Agricultural and Natural Resources University

    3 Assistant Professor, Department of Water Engineering, Khuzestan Ramin Agriculture and Natural Resources University.

,

Document Type : Research Paper

10.22059/jrwm.2018.232883.1121
  • Article Information
  • Download
  • How to cite
  • Statistics
  • Share

Abstract

Suspended sediment load estimation is one of the most important and complicated debates on sediment transport and river engineering. Therefore, the variety of methods developed to estimate suspended sediment load in rivers. According to the empirical nature of these methods, the results have low accuracy and vary so widely from one method to another. Recently, with advances in computer science, various algorithms such as tree based methods have been developed. In this study, sediment rating curve method along with new algorithms such as M5 and Genetic Programing (GP) are used for estimating suspended sediment load in rivers. Flow and sediment discharge data at five hydrometric stations, Behbahan and Cham Nezam on Maroon River, Jow Kanak on Allah River and Moshrageh and Shadegan on Jarahi River are used in present study. The efficiency of tree models, in all stations, was greater than sediment rating curve method, and the RMSE performance of M5 method is 7 to 41 percent superior to sediment rating curve method. The results of this study indicate the close proximity of both M5 and GP efficiency, which according to the simple and conceptual structure of M5, this method is proposed to estimate suspended sediment load in river streams.

Keywords

  • Suspended sediment load
  • Tree algorithms
  • Sediment Rating Curve
  • M5 algorithm
  • Genetic Programing
  • XML
  • PDF 1.72 M
  • RIS
  • EndNote
  • Mendeley
  • BibTeX
  • APA
  • MLA
  • HARVARD
  • VANCOUVER
    • Article View: 262
    • PDF Download: 146
Journal of Range and Watershed Managment
Volume 71, Issue 1
June 2018
Pages 173-187
Files
  • XML
  • PDF 1.72 M
History
  • Receive Date: 08 May 2017
  • Revise Date: 24 May 2018
  • Accept Date: 12 January 2018
  • First Publish Date: 22 May 2018
Share
How to cite
  • RIS
  • EndNote
  • Mendeley
  • BibTeX
  • APA
  • MLA
  • HARVARD
  • VANCOUVER
Statistics
  • Article View: 262
  • PDF Download: 146

APA

zahiri, J., shahrokhi, H., & Jafari, A. (2018). Comparison the efficiency of M5 and Genetic Programming on Suspended Sediment Load Estimation of Rivers. Journal of Range and Watershed Managment, 71(1), 173-187. doi: 10.22059/jrwm.2018.232883.1121

MLA

javad zahiri; hadis shahrokhi; Ahmad Jafari. "Comparison the efficiency of M5 and Genetic Programming on Suspended Sediment Load Estimation of Rivers". Journal of Range and Watershed Managment, 71, 1, 2018, 173-187. doi: 10.22059/jrwm.2018.232883.1121

HARVARD

zahiri, J., shahrokhi, H., Jafari, A. (2018). 'Comparison the efficiency of M5 and Genetic Programming on Suspended Sediment Load Estimation of Rivers', Journal of Range and Watershed Managment, 71(1), pp. 173-187. doi: 10.22059/jrwm.2018.232883.1121

VANCOUVER

zahiri, J., shahrokhi, H., Jafari, A. Comparison the efficiency of M5 and Genetic Programming on Suspended Sediment Load Estimation of Rivers. Journal of Range and Watershed Managment, 2018; 71(1): 173-187. doi: 10.22059/jrwm.2018.232883.1121

  • Home
  • About Journal
  • Editorial Board
  • Submit Manuscript
  • Contact Us
  • Glossary
  • Sitemap

News

  • Publication fee 2021-09-23

Newsletter Subscription

Subscribe to the journal newsletter and receive the latest news and updates

© Journal Management System. Powered by Sinaweb