The presented paper compares forecast of drought indices based on two different models of artificial neural networks. The first model is based on feedforward multilayer perceptron, sANN, and the second one is the integrated neural network model, hANN. The analyzed drought indices are the standardized precipitation index (SPI) and the standardized precipitation evaporation index (SPEI) and were ...

There are great advantages in using multi-temporal, multi-spectral and hyperspectral remote sensing data for dynamically and macroscopically monitoring widespread land surface. Exercising this advantage, dynamically adaptive regional drought monitoring system is established, combined with meteorological and hydrological information based upon actual ground measurements for different regions and...

Global warming has resulted in increasingly frequent and severe drought and/or precipitation events. Severe drought limits crop water availability and impacts agricultural productivity and socioeconomic development. To quantify drought-induced yield loss during the main crop stages in Liaoning province, China, aspects of drought episodes (magnitude, duration, and frequency) were investigated du...

Drought assessment is crucial for effective water resources management in a river basin. frequency has increased worldwide recent years due to global warming. In this paper, an attempt made assess the meteorological drought Punpun basin, India using two globally accepted indices namely, Standardized Precipitation Index (SPI) and Evapotranspiration (SPEI). The SPI SPEI at 1-, 3-, 6-, 9-, 12-mont...

This study analyses the spatiotemporal variability of meteorological drought over Africa and its nine climate subregions from an ensemble 19 multisource datasets (gauge-based, satellite-based reanalysis) period 1983–2014. The standardized precipitation index (SPI) is used to represent on a 3-month scale. We analyse various characteristics (duration, events, frequency, intensity, severity) for a...

This study evaluates drought at Lashkargah, Farah, Adraskan, and Gardandiwal stations in Helmand River Basin (HRB) Afghanistan to determine appropriate indices for the basin. Thirty seven years of monthly recorded precipitation data from 1979 2015 are employed with different index (DI) methods which include Standardized Precipitation Index (Normal-SPI, Log-SPI, Gamma-SPI), Percent Normal (PN), ...

The aim of this study is investigation of climate change impact on Karoon3 basin in future periods. For this purpose, the simulated precipitation and potential evapotranspirationof four AOGCM models was used to simulate drought index. Monthly precipitation was calculated by inverse distance weighted method. Reclamation Drought Index (RDI) was used as watershed drought index. RDI was calculated ...