Comparison of the Gen Expression Programming, Nonlinear Time Series and Artificial Neural Network in Estimating the River Daily Flow (Case Study: The Karun River)
Today, the daily flow forecasting of rivers is an important issue in hydrology and water resources and thus can be used the results of daily river flow modeling in water resources management, droughts and floods monitoring. In this study, due to the importance of this issue, using nonlinear time ser...
| Main Authors: | , , |
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| Format: | Article |
| Language: | fas |
| Published: |
Ferdowsi University of Mashhad
2015-06-01
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| Series: | مجله آب و خاک |
| Subjects: | |
| Online Access: | http://jsw.um.ac.ir/index.php/jsw/article/view/32553 |
| _version_ | 1818672996013834240 |
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| author | R. Zamani F. Ahmadi F. Radmanesh |
| author_facet | R. Zamani F. Ahmadi F. Radmanesh |
| author_sort | R. Zamani |
| collection | DOAJ |
| description | Today, the daily flow forecasting of rivers is an important issue in hydrology and water resources and thus can be used the results of daily river flow modeling in water resources management, droughts and floods monitoring. In this study, due to the importance of this issue, using nonlinear time series models and artificial intelligence (Artificial Neural Network and Gen Expression Programming), the daily flow modeling has been at the time interval (1981-2012) in the Armand hydrometric station on the Karun River. Armand station upstream basin is one of the most basins in the North Karun basin and includes four sub basins (Vanak, Middle Karun, Beheshtabad and Kohrang).The results of this study shown that artificial intelligence models have superior than nonlinear time series in flow daily simulation in the Karun River. As well as, modeling and comparison of artificial intelligence models showed that the Gen Expression Programming have evaluation criteria better than artificial neural network. |
| first_indexed | 2024-12-17T07:48:46Z |
| format | Article |
| id | doaj.art-4a0771ef30524d1994bec1b6ab6a995c |
| institution | Directory Open Access Journal |
| issn | 2008-4757 2423-396X |
| language | fas |
| last_indexed | 2024-12-17T07:48:46Z |
| publishDate | 2015-06-01 |
| publisher | Ferdowsi University of Mashhad |
| record_format | Article |
| series | مجله آب و خاک |
| spelling | doaj.art-4a0771ef30524d1994bec1b6ab6a995c2022-12-21T21:57:55ZfasFerdowsi University of Mashhadمجله آب و خاک2008-47572423-396X2015-06-012861172118210.22067/jsw.v0i0.325538330Comparison of the Gen Expression Programming, Nonlinear Time Series and Artificial Neural Network in Estimating the River Daily Flow (Case Study: The Karun River)R. Zamani0F. Ahmadi1F. Radmanesh2Shahid Chamran University of AhvazShahid Chamran University of AhvazShahid Chamran University of AhvazToday, the daily flow forecasting of rivers is an important issue in hydrology and water resources and thus can be used the results of daily river flow modeling in water resources management, droughts and floods monitoring. In this study, due to the importance of this issue, using nonlinear time series models and artificial intelligence (Artificial Neural Network and Gen Expression Programming), the daily flow modeling has been at the time interval (1981-2012) in the Armand hydrometric station on the Karun River. Armand station upstream basin is one of the most basins in the North Karun basin and includes four sub basins (Vanak, Middle Karun, Beheshtabad and Kohrang).The results of this study shown that artificial intelligence models have superior than nonlinear time series in flow daily simulation in the Karun River. As well as, modeling and comparison of artificial intelligence models showed that the Gen Expression Programming have evaluation criteria better than artificial neural network.http://jsw.um.ac.ir/index.php/jsw/article/view/32553ModelingArtificial IntelligenceDaily dischargeKarun River |
| spellingShingle | R. Zamani F. Ahmadi F. Radmanesh Comparison of the Gen Expression Programming, Nonlinear Time Series and Artificial Neural Network in Estimating the River Daily Flow (Case Study: The Karun River) مجله آب و خاک Modeling Artificial Intelligence Daily discharge Karun River |
| title | Comparison of the Gen Expression Programming, Nonlinear Time Series and Artificial Neural Network in Estimating the River Daily Flow (Case Study: The Karun River) |
| title_full | Comparison of the Gen Expression Programming, Nonlinear Time Series and Artificial Neural Network in Estimating the River Daily Flow (Case Study: The Karun River) |
| title_fullStr | Comparison of the Gen Expression Programming, Nonlinear Time Series and Artificial Neural Network in Estimating the River Daily Flow (Case Study: The Karun River) |
| title_full_unstemmed | Comparison of the Gen Expression Programming, Nonlinear Time Series and Artificial Neural Network in Estimating the River Daily Flow (Case Study: The Karun River) |
| title_short | Comparison of the Gen Expression Programming, Nonlinear Time Series and Artificial Neural Network in Estimating the River Daily Flow (Case Study: The Karun River) |
| title_sort | comparison of the gen expression programming nonlinear time series and artificial neural network in estimating the river daily flow case study the karun river |
| topic | Modeling Artificial Intelligence Daily discharge Karun River |
| url | http://jsw.um.ac.ir/index.php/jsw/article/view/32553 |
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