Helmand River Flow Modeling Using Copula and Seasonal Auto Regressive Moving Average

آب و خاک

Article 5, Volume 28, Issue 3, July 2014, Pages 523-533   

Document Type: Research Article

DOI: 10.22067/jsw.v0i0.29031

Authors

A.A. Keikha^{* 1}; M. Mosannan Mozafari²; M. Sabouhi²; Gh. Soltani³

¹University of Zabol

²Ferdowsi University of Mashhad

³University of Shiraz

Abstract

River flow modeling has special importance in water resources management. Since the actual river flow data are often low and they correlate and depend yearly and monthly, making the data similar to historical data is so difficult and complex. In this study, 50 year data and Seasonal Auto Regressive Moving Average (SARMA) and Clayton and Frank Copulas which are the prediction and simulation methods of the river flow molding, were used to generate random flow data of Helmand River. Results show, SARMA model forecasts minimum river flow data very good, but the generated data hasn’t correlation of historical data and usually the maximum river flow is greater than real data. Otherwise, Copula preserved concordance of real data and make the data that are similar to real river flow. Therefore it is proposed that Copula is used for Helmand river flow modeling. Also this method use for simulating other river flows and also using other Copulas for river flow modeling could have the subject of future researches.

Keywords

simulation; prediction; water resources management; Correlation

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