In recent decades artificial neural networks (ANNs) have shown great ability in modeling and forecasting non-linear and non-stationary time series and in most of the cases especially in prediction of phenomena have showed very good performance. This paper presents the application of artificial neural networks to predict drought in Yazd meteorological station. In this research, different archite...

Drought is one of the most common climatic or meteorological hazards and has spatiotemporal characteristics that substantially impact livelihoods economy worldwide. Therefore, there a need for efficient procedures accurately identify variability. Moreover, it crucial to continuously assess monitor drought occurrence in certain region prevent unfavourable impacts. For this purpose, current study...

     Drought as a natural phenomenon characterized by a significant decrease of water availability during a period of time and over a large area. In recent years, droughts and its frequent in arid and semi-arid regions like Iran on the one hand, and water demand has been rising on the other hand and, as a result, their impacts are being aggravated. Therefore, the meteorological and hydrological...

Drought is one of the most devastating climate extremes in terms its spatial extent and intensity. Rainfed areas are extremely vulnerable to drought, but effective monitoring may lessen impact such events. This study developed a composite drought index (CDI) for assessing seasonal droughts rainfed Potwar Plateau Pakistan, using remotely sensed observed meteorological datasets. We identified fou...

A statistical approach is used to explore the variability of precipitation and meteorological drought in Mexico’s Rı́o Yaqui basin on seasonal-to-decadal timescales. For this purpose, a number of custom datasets have been developed, including a monthly 1900-2004 precipitation index for the Yaqui basin created by merging two gridded land-surface precipitation products, a 350-year tree-ring based ...

in recent decades artificial neural networks (anns) have shown great ability in modeling and forecasting non-linear and non-stationary time series and in most of the cases especially in prediction of phenomena have showed very good performance. this paper presents the application of artificial neural networks to predict drought in yazd meteorological station. in this research, different archite...

Drought is a phenomenon that caused by several factors and can be divided into meteorological drought, agricultural hydrological socioeconomic drought. In this study, the characteristics of propagating from drought to (or hydrological) in Andong Dam basin Hapcheon located Nakdong River Korea were investigated. Standardized precipitation index (SPI), standardized soil moisture (SMI), runoff (SRI...

Abstract Drought‐affected regions often contain high densities of small reservoirs, usually informally built, as drought‐coping mechanism. These structures influence socio‐hydrological dynamics and have the potential to alter hydrological processes relevant drought emergence development. This study aimed analyze a concentration reservoirs on intensification evolution events. We present an innov...