Analysis of lake water level between the climatic signals

Subject Areas : Geopolitic

Morteza Beitari Khakedi ¹ (ندارد)
Ebrahim Fatahi ² (ندارد)

Received: 2014-11-25 Accepted : 2014-11-25 Published : 2013-05-22

Keywords: Neural Networks, climate signals NAO - Nino1 +2,

Abstract :

Among the important characteristics of each lake, its water level. Understanding of how waterlevel fluctuations in an effective change-related issues including water storage changes - byshoreline construction and environmental issues. In this study, the effect of fluctuating lakewater discharge and meteorological signals lake basin are discussed. The data used in thisstudy due to high volume in the interval from 1986 to 2008 and from 1951 to 2011 at differentstations. In this study, monthly data signals NAO - Nino1 +2 - Nino3 Nino4 Nino3.4 NOI-NP- PDO - SOI is used. All the above data were obtained from the NCEP. After explaining therelation and the prediction model using artificial neural networks for the same time interval,three months and six months respectively. The results of this model were evaluated andanalyzed. Model output of the neural network software Neurosolutions6 that all stations in thestate, ranging from the time delay of the quarter and half-year delay of the effective signalswing and lake water flows into the lake basin Order 1-NINO3 2 - NINO 3 +4 3 - NINO1 +24-NINO4 is the least of the order of 1 - NAO 2 - NOI 3 - PDO 4 - SOI 5 - NP is.