Long-lead Streamflow Forecasting using Singular Spectrum Analysis in the Karkheh Basin

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.

FOROUGHI FARID; ARAGHINEJAD SHAHAB

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

Journal Paper

Paper Information

Journal: Iranian Journal of Soil and Water Research Year:2017 | Volume:48 | Issue:2 Page(s): 309-321

Download Full-Text

Persian Verion

View:

669

Download:

Cites:

Information Journal Paper

Title

Long-lead Streamflow Forecasting using Singular Spectrum Analysis in the Karkheh Basin

Author(s)

FOROUGHI FARID | ARAGHINEJAD SHAHAB | Issue Writer Certificate

Keywords

Long lead forecastingQ1

dischargeQ2

streamflowQ2

Singular Spectrum AnalysisQ1

Karkheh basinQ1

Abstract

In basin areas, river discharge is one of the important items of input data for use in hydrological models. In the past decade, different methods have been utilized to analyze and predict the physical variables, one of which is Singular Spectrum Analysis (SSA) statistical method. SSA is one of the methods, employed in modeling various statistical processes in more recent times, its use in various engineering disciplines, including water resources, to eliminate random components (in time series) has been expanded. The main objective followed in this study was to forecast streamflow in Karkheh basin utilizing Singular Spectrum Analysis. The gage stations in Karkheh basin (five stations) were selected for the study. The peak flow periods for these gage stations were determined. The Caterpillar SSA and R statistical software were employed to model Singular Spectrum Analysis methods which 70% and 30% of data being respectively used for calibration and validation. Singular Spectrum Analysis method was used for pre-processing of data and as well in the elimination of noise in the time series of streamflow. Within the next step, the recursive algorithm of the Singular Spectrum Analysis model was used to develop forecast models of streamflow within the Karkheh basin gage stations. To evaluate the performance of the model, Normalized Root Mean Square Error, Mean Absolute Error and correlation coefficient were made use of. Accordingly, in the calibration the highest and lowest value of the NRMSE statistic were 0. 43 and 0. 30 respectively (as well the MARE statistic were 0. 36 and 0. 27 respectively) for Pol Chehr and Cham Anjir stations. In the validation the highest and lowest value of the NRMSE and MARE statistics were 0. 47 and 0. 50 for Pol Chehr station. The lowest value of the NRMSE statistic for Pol Dokhtar and Cham Anjir stations was 0. 3 and 0. 31 respectively and close to each other and the lowest value of the MARE statistic for Cham Anjir and Pol Dokhtar stations was 0. 29 and 0. 30 respectively and close to each other. Finally, the best and the weakest results in two stages of calibration and validation were for Cham Anjir and Pol Chehr Stations respectively. The results finally indicated that Singular Spectrum Analysis could be employed to forecast streamflow with a reasonable accuracy.

Cites

No record.

References

No record.

Cite

APA: Copy

FOROUGHI, FARID, & ARAGHINEJAD, SHAHAB. (2017). Long-lead Streamflow Forecasting using Singular Spectrum Analysis in the Karkheh Basin. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, 48(2 ), 309-321. SID. https://sid.ir/paper/225913/en

Vancouver: Copy

FOROUGHI FARID, ARAGHINEJAD SHAHAB. Long-lead Streamflow Forecasting using Singular Spectrum Analysis in the Karkheh Basin. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH[Internet]. 2017;48(2 ):309-321. Available from: https://sid.ir/paper/225913/en

IEEE: Copy

FARID FOROUGHI, and SHAHAB ARAGHINEJAD, “Long-lead Streamflow Forecasting using Singular Spectrum Analysis in the Karkheh Basin,” IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, vol. 48, no. 2 , pp. 309–321, 2017, [Online]. Available: https://sid.ir/paper/225913/en

Related Journal Papers