The application of Standardized Precipitation Index (SPI) to monitor drought in surface and groundwaters

Drought monitoring using deciles index standardized precipitation index and effective Drought index in tehran province iran

A comparison of parametric and non-parametric methods of standardized precipitation index (SPI) in drought monitoring (Case study: Gorganroud basin)

The Standardized Precipitation Index (SPI) is the most common index for drought monitoring. Although the calculation of this index is usually done by using the gamma distribution fitting of precipitation data, studies have shown that for accurate monitoring of drought, the optimal distribution of precipitation in each month should be determined. On the other hand, in non-stationary time series,...

GIS analysis for vulnerability assessment of drought in Khuzestan province in Iran using standardized precipitation index (SPI)

The Standardized Precipitation Index (SPI) is a widely used drought index to provide good estimations of the intensity, magnitude and spatial extent of droughts. The objective of this study was to analyze the spatial pattern of drought by SPI index. In this paper, patterns of drought hazard in Khuzestan are evaluated according to the data of 17 weather stations during data recording. The influe...

Analyzing Iran’s Local and Regional Droughts Using the Theory of Runs and Standardized Precipitation Index (SPI)

The primary objective of the present study is the investigation of the various properties of Iran’s local and regional droughts based on the theory of runs and standardized precipitation index (SPI). Thus, in order to accomplish this goal, the annual precipitation data of 63 synoptic stations were procured from Iran’s meteorological organization for a 30-year period (1986-2015).. First, based o...

Application of the ARIMA Models in Drought Forecasting Using the Standardized Precipitation Index

The standardized precipitation index (SPI) was used to quantify the classification of drought in the Guanzhong Plain, China. The autoregressive integrated moving average (ARIMA) models were developed to fit and forecast the SPI series. Most of the selected ARIMA models are seasonal models (SARIMA). The forecast results show that the forecasting power of the ARIMA models increases with the incre...