作者: Mojtaba Zoljoodi , Ali Didevarasl
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摘要: Urmia Lake in northwest of Iran, through the recent years has been extremely faced with the water crisis. Climate variations and anthropogenic impacts could be two main affiliated factors in this regard. We considered long term data series of precipitation, temperature evaporation monthly yearly scales in order to compare water-level values Lake. The statistics approaches such as: standard deviation, trend analysis, T test, Pearson Spearman correlations, liner regression are used analyze all variables. results released that along precipitation temperature of lake’s basin have experienced periodic changes 1961 2010, as there some gradual dryness trends on study area according to precipitation variations. water-level fluctuations show more significant correlation than the precipitation. Whiles, water-level’s decreasing behavior especially through 1998 2010 is harsh different rate for precipitation’s decrease temperature’s increase. Thus, some anthropogenic which produced supplementary causes to shrink Extracting double over through introducing categorizing atmospheric synoptic systems order cloud seeding operation one urgent innovative solutions mitigate water crisis basin.