Lake Water Level Forecasting using Wavelet-ANFIS and System Dynamic Model

Authors

1 Faculty of Engineering, Water Engineering and Hydraulic Structures, University of Ayatollah Ozma Borujerdi, Borujerd, Iran

2 Hydraulic Structures, Bu Ali Sina University, Hamedan, Iran

Abstract

Nowadays challenge of water resource is a problem of many countries in the Middle East. This fact about Urmia Lake in Iran has more importance in the recent decade. Urmia Lake water level has involved many changes and fluctuations due to rainfall changes, droughts and dam constructions. The main purpose of this article is an investigation of System Dynamic (SD) methods for forecasting water level fluctuations using Wavelet Adaptive Neuro-Fuzzy Inference System (WANFIS).

Keywords


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