Comparison of the performance of SWAT, IHACRES and artificial neural networks models in rainfall-runoff simulation (case study: Kan watershed, Iran)

Author:

Ahmadi Mehdi,Moeini Abolfazl,Ahmadi Hassan,Motamedvaziri Baharak,Zehtabiyan Gholam Reza

Publisher

Elsevier BV

Subject

Geochemistry and Petrology,Geophysics

Reference72 articles.

1. A continental-scale hydrology and water quality model for Europe: calibration and uncertainty of a high-resolution large-scale SWAT model;Abbaspour;J. Hydrol.,2015

2. Modelling rainfall runoff relations using HEC-HMS and IHACRES for a single rain event in an arid region of Jordan;Abushandi;Water Resour. Manag.,2013

3. Runoff modelling through back propagation artificial neural network with variable rainfall-runoff data;Agarwal;Water Resour. Manag.,2004

4. Runoff modeling by HEC-HMS model ( case Study : kan watershed , Iran );Arekhi;Int. J. Agric. Crip Sci.,2012

5. SWAT: model use, calibration, and validation;Arnold;Trans. ASABE (Am. Soc. Agric. Biol. Eng.),2012

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