Prediction of Groundwater Level in Ardebil Plain Using Support Vector Regression and M5 Tree Model

Author:

Sattari Mohammad Taghi,Mirabbasi Rasoul1,Sushab Reza Shamsi2,Abraham John3

Affiliation:

1. Department of Water Engineering, Faculty of Agriculture; Shahrekord University, Rahbar Blvd., P.O. Box 8818634141; Shahrekord Chaharmahal and Bakhtiari Iran

2. Department of Water Engineering; Islamic Azad University, Ahar Branch; Ahar Iran

3. School of Engineering, University of St. Thomas, 2115 Summit Ave.; St. Paul MN 55105-1079.

Publisher

Wiley

Subject

Computers in Earth Sciences,Water Science and Technology

Reference26 articles.

1. Regional bivariate modeling of droughts using L-comoments and copulas;Abdi;Stochastic Environmental Research and Risk Assessment,2017

2. Spatiotemporal trend and abrupt change analysis of temperature in Iran;Ahmadi;Meteorological Applications,2017

3. Comparative study of SVMs and ANNs in aquifer water level prediction;Behzad;Journal of Computing in Civil Engineering,2010

4. Trend analysis of groundwater using non-parametric methods (case study: Ardabil plain);Daneshvar Vousoughi;Stochastic Environmental Research and Risk Assessment,2013

5. Decomposition of groundwater level fluctuations using transfer modelling in an area with shallow to deep unsaturated zones;Gehrels;Journal of Hydrology,1994

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