عنوان مقاله [English]
Urmia Lake is one of the vital hydrological natural quarters of Iran which has met sever water level decrease. For this issue, checking the effect of local climate factors and changes in time series would be efficient solution for studying the behavior of water system in this area.In this research wavelet coherence measure is implemented for evaluating the relations and effect of hydrological processes over many years on Urmia water level fluctuations that is powerful method for testing proposed linkages between two time series. From continuous wavelet transform of two time series, wavelet coherence transform is determined which exposes the local correlation between two CWTs and it is very helpful to uncover the locally phase locked behavior. In this way, monthly Hydroclimatological data such as rainfall, runoff of Saeed Abad station and temperature, relative humidity and monthly evaporation of Lighvan station in West Azarbaijan were investigated.The results illustrate that runoff time series has the most effect on water level of Urmia Lake and the effect of temperature, relative humidity, evaporation and rainfall are in the next priorities to runoff.
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