Appli‌cation and Comparison of Integrated Time Series and Artificial Neural Network Model for Prediction of the Variations of Groundwater Level (Case study: Plain Marvast)

Appli‌cation and Comparison of Integrated Time Series and Artificial Neural Network Model for Prediction of the Variations of Groundwater Level (Case study: Plain Marvast)

Prediction of groundwater level fluctuations is an essential step for management, appropriate planning and efficient use in arid and semi-arid regions. According to the existing information, the general trend of groundwater hydrograph represents declining trend and continuous falling of groundwater...

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Bibliographic Details
Main Authors: Hossein Malkinezhad, Robabeh Porshaiani
Format: Article
Language:fas
Published: Shahid Chamran University of Ahvaz 2013-11-01
Series:علوم و مهندسی آبیاری
Subjects:
integrated time series model
artificial neural network
marvast plain
groundwater level
Online Access:http://jise.scu.ac.ir/article_10828_173c910d6a098049cddfee4a44781325.pdf

Internet

http://jise.scu.ac.ir/article_10828_173c910d6a098049cddfee4a44781325.pdf

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