Evaluation of drought climate space based on the Standardized Precipitation (SPI) Case Study (Mazandaran province)

Drought frequency of occurrence، severity، duration، extent، loss of life، loss of economic - social and severe long-term effects than any other natural disaster is a priority and is more dangerous and requires more attention is the decision. Research methods، a practical approach to governing the analysis and statistics. Using precipitation data of 22 synoptic station and rain gauge to zoning drought using geostatistical was. Well as for the spatial analysis of drought indices The spatial autocorrelation was used. Completely reqularized spline model presents the bestresults. The results of the application of Moran''s index of spatial distribution of drought، the positive coefficient stands equally Moran `s I = 0. 9943 Nshangrkhvshh drought are being spatially distributed. According to Moran index can not be classified to identify different types of statistical analysis of spatial patterns using a public address this shortcoming G was capped.. General G statistic analysis of the results shows Higher Drought areas located next to each other The focus of the cluster has high Drought. The resulting analysis indicating that، This phenomenon frequently occurs in the province and government of the state of ecosystems and natural resources that causes difficulties. Course، in some periods of the periodic changes of wet and dry periods to reduce the severity of drought conditions The drought reduces the most important method to reduce variation SPI ignoring the daily time scale and intensity of rainfall in the month it is. And the process is having fun with a focus on drought.