CIVILICA We Respect the Science
Publisher of Iranian Journals and Conference Proceedings
Paper
title

Prediction of Extreme Streamflow to Karkheh Dam Reservoir using Stochastic ARIMA Model

Credit to Download: 1 | Page Numbers 13 | Abstract Views: 128
Year: 2017
Present: ارايه پوستري
COI code: ICSAU05_0435
Paper Language: English

How to Download This Paper

For Downloading the Fulltext of CIVILICA papers please visit the orginal Persian Section of website.

Authors Prediction of Extreme Streamflow to Karkheh Dam Reservoir using Stochastic ARIMA Model

  Karim Hamidi machekposhti - Department of Water Sciences and Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran,
  Hossein Sedghi - Department of Water Sciences and Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran,
Abdolrasoul Telvari - Department of Civil Engineering, Islamic Azad University, Ahvaz, Iran,
  Hossein Babazadeh - Department of Water Sciences and Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran,

Abstract:

Extreme hydrological and meteorological events may cause major disasters and heavy Social and economic losses. Therefore, more studies have focused on extreme hydro-meteorological events in various climates and geographic regions. Based on 58 years of observed extreme streamflow data to Karkheh dam reservoir in Karkheh river basin at Khuzestan province in western Iran, the occurrence and changing trends of extreme streamflow indices, including the annual peak and maximum streamflows, were analyzed for Jelogir Majin hydrological station. We used stochastic ARIMA models for this series, through the Box and Jenkins time series modelling approach. The results indicated that among the selected models interpret from ACF and PACF, ARIMA(4,1,1) satisfied all tests and showed the best performance for extreme streamflows (annual peak and maximum discharges) occurred from 1958 till 2005. The model predicted extreme streamflow for ten leading years (2006 till 2015) showed the ability of the model to predict statistical properties of the extreme streamflow. The SAS and SPSS softwares were used to implement all of the models.

Keywords:

Extreme Streamflow, ARIMA Model, Box-Jenkins Approach, Karkheh River

Perma Link

https://www.civilica.com/Paper-ICSAU05-ICSAU05_0435.html
COI code: ICSAU05_0435

how to cite to this paper:

If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Hamidi machekposhti, Karim; Hossein Sedghi; Abdolrasoul Telvari & Hossein Babazadeh, 2017, Prediction of Extreme Streamflow to Karkheh Dam Reservoir using Stochastic ARIMA Model, 5th international congress of structure, architecture and urban development, تهران, دبيرخانه دايمي كنفرانس, https://www.civilica.com/Paper-ICSAU05-ICSAU05_0435.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Hamidi machekposhti, Karim; Hossein Sedghi; Abdolrasoul Telvari & Hossein Babazadeh, 2017)
Second and more: (Hamidi machekposhti; Sedghi; Telvari & Babazadeh, 2017)
For a complete overview of how to citation please review the following CIVILICA Guide (Citation)

Scientometrics

The University/Research Center Information:
in University Ranking and Scientometrics the Iranian universities and research centers are evaluated based on scientific papers.

Research Info Management

Export Citation info of this paper to research management softwares

New Related Papers

Iran Scientific Advertisment Netword

Share this paper

WHAT IS COI?

COI is a national code dedicated to all Iranian Conference and Journal Papers. the COI of each paper can be verified online.