• Register
  • Login
  • Persian

Journal of Range and Watershed Managment

  1. Home
  2. Comparison of stochastic models and conceptual models in hydrological drought forecast (case study: Karkheh River Basin)

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 of stochastic models and conceptual models in hydrological drought forecast (case study: Karkheh River Basin)

    Authors

    • Ommolbanin Bazrafshan 1
    • Ali Salajegheh 2
    • Ahmad Fatehi 3
    • Abolghasem Mahdavi 4
    • Javad Bazrafshan 5
    • Somayeh Hejabi 6

    1 Assistant Professor. Agricultural and Natural Resources Faculty, University of Hormozgan, Iran.

    2 Associate Professor, College of Agriculture & Natural Resources, University of Tehran, Iran.

    3 Assistant Professor, Center of Water Shortage and Drought Research in Agriculture and Natural Resources, Iran.

    4 Professor, College of Agriculture & Natural Resources, University of Tehran, Iran.

    5 Assistant Professor, College of Agriculture & Natural Resources, University of Tehran, Iran.

    6 PhD. Student, College of Agriculture & Natural Resources, University of Tehran, Iran.

,

Document Type : Research Paper

10.22059/jrwm.2014.50026
  • Article Information
  • Download
  • How to cite
  • Statistics
  • Share

Abstract

Drought is random and nonlinear phenomenon and using linear stochastic models, nonlinear artificial neural network and hybrid models is advantaged for drought forecasting. This paper presents the performances of autoregressive integrated moving average (ARIMA), Direct multi-step neural network (DMSNN), Recursive multi-step neural network (RMSNN), Hybrid stochastic neural network of directive approach (HSNNDM) and Hybrid stochastic neural network of recursive approach(HSNNRM) with time scale monthly and seasonally for hydrology drought forecasting and SDI selected as predictor in the Karkheh river basin. The results shown performances of HNNDA was found to forecast hydrological drought with greater accuracy for SDI forecasting, so performances model in monthly scale was greater accuracy to seasonality scale.

Keywords

  • Artificial Neural Networks
  • Hybrid models
  • forecasting
  • Hydrological drought
  • stochastic models
  • XML
  • PDF 1.89 M
  • RIS
  • EndNote
  • Mendeley
  • BibTeX
  • APA
  • MLA
  • HARVARD
  • VANCOUVER
    • Article View: 2,990
    • PDF Download: 1,565
Journal of Range and Watershed Managment
Volume 66, Issue 4 - Serial Number 4
March 2014
Pages 493-508
Files
  • XML
  • PDF 1.89 M
History
  • Receive Date: 31 January 2012
  • Revise Date: 11 January 2014
  • Accept Date: 13 November 2012
  • First Publish Date: 20 February 2014
Share
How to cite
  • RIS
  • EndNote
  • Mendeley
  • BibTeX
  • APA
  • MLA
  • HARVARD
  • VANCOUVER
Statistics
  • Article View: 2,990
  • PDF Download: 1,565

APA

Bazrafshan, O., Salajegheh, A., Fatehi, A., Mahdavi, A., Bazrafshan, J., & Hejabi, S. (2014). Comparison of stochastic models and conceptual models in hydrological drought forecast (case study: Karkheh River Basin). Journal of Range and Watershed Managment, 66(4), 493-508. doi: 10.22059/jrwm.2014.50026

MLA

Ommolbanin Bazrafshan; Ali Salajegheh; Ahmad Fatehi; Abolghasem Mahdavi; Javad Bazrafshan; Somayeh Hejabi. "Comparison of stochastic models and conceptual models in hydrological drought forecast (case study: Karkheh River Basin)". Journal of Range and Watershed Managment, 66, 4, 2014, 493-508. doi: 10.22059/jrwm.2014.50026

HARVARD

Bazrafshan, O., Salajegheh, A., Fatehi, A., Mahdavi, A., Bazrafshan, J., Hejabi, S. (2014). 'Comparison of stochastic models and conceptual models in hydrological drought forecast (case study: Karkheh River Basin)', Journal of Range and Watershed Managment, 66(4), pp. 493-508. doi: 10.22059/jrwm.2014.50026

VANCOUVER

Bazrafshan, O., Salajegheh, A., Fatehi, A., Mahdavi, A., Bazrafshan, J., Hejabi, S. Comparison of stochastic models and conceptual models in hydrological drought forecast (case study: Karkheh River Basin). Journal of Range and Watershed Managment, 2014; 66(4): 493-508. doi: 10.22059/jrwm.2014.50026

  • 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