The Standardized Precipitation Index (SPI) has become a popular measure of drought across the globe. In this study, Standardized Precipitation Index (SPI) was used in annual period of time to survey on drought. Also, in order to zonation frequency of drought, geographic information system (GIS) software and Kriging method used for extracting dry areas. The zoning maps show most severe drought i...

Abstract The use of artificial neural networks as a tool to forecast droughts in Sri Lanka is presented. Predictions were made using the Standardized Precipitation Index (SPI) as the drought monitoring index. Monthly rainfall recorded at 13 climatological stations covering both the wet and dry zones over a long time period have been used as the input to train and test the neural networks. The a...

drought is a major environmental disaster in many parts of the world. knowledge about the timing, severity and extentof drought can aid planning and decision-making. drought indices derived from in-situ meteorological data have coarsespatial and temporal resolutions, thus, obtaining a real-time drought condition over a large area is difficult. this studyused advanced very high resolution radiom...

Drought is one of the most serious natural disasters in China. Drought disasters occur frequently and caused huge economic loss in recently. In this paper, a drought prediction model based on weighted Markov Chain is put forward. An application is demonstrated by Anhui province of Huaihe River in China. Based on the precipitation data during 1958-2006 at monthly scale, the different time scales...

Observations show that the standard precipitation index (SPI) over the southern Amazon region decreased in the period of 1970-1999 by 0.32 per decade, indicating an increase in dry conditions. Simulations of constant pre-industrial climate with recent climate models indicate a low probability (p=0%) that the trends are due to internal climate variability. When the 23 models are forced with eith...

In this study, the effects of climate change on irrigation water requirement hazelnut trees were investigated in Central Italy. The meteorological variables considered precipitation, temperature, chilling units, and Standardized Precipitation Index (SPI) hydrological reference evapotranspiration (ET0) based soil balance. Climate data collected from eight stations for period 1974–2021, ET0 was e...

The goal of this study is to calculate meteorological drought using the Standard Precipitation Index (SPI) and Evapotranspiration (SPEI) for Al-Lith Khafji basins Kingdom Saudi Arabia (KSA) from 2001 2020. in situ (rain gauges, RGs) Integrated Multi-satellite Retrievals GPM (IMERG) data are used current study. monitored across AL-Lith watersheds. climate watershed like some extent. Still, due c...

Abstract In this research, SPEI (standardized precipitation and evaporation index) was used as an alternative index to SPI to study drought in warm southern coastal regions of Iran. Drought has a multi-scale nature that can be analyzed in time scales via analysis of precipitation and temperature data. Therefore, data were colected from 105 synoptic stations in Iran in 2015; Respective stati...

abstract this research evaluates climate change effects on drought severity in the region of gharesou, iran. the standardized precipitation index (spi) has been used for estimation of drought severity. a geographical information system is applied for calculating the mean areal precipitation time series from 11 meteorological stations, in and out of the area for the hydrological period jan 1971-...

Prediction of drought and flood events can be difficult, but the standardized precipitation index (SPI) calculated from monthly data may be a useful tool for predicting future dryness/wetness events in China. The rainy season SPI was calculated from monthly precipitation data from 3804 meteorological stations in China. The spatiotemporal variation, periodic change, and trend in rainy season SPI...