Since the mid-90s the Standardized Precipitation Index (SPI) has found widespread use to
monitor drought periods at different time scales. Recently, some efforts have been made to …

Artificial neural networks (ANNs) are one of the most widely used techniques for solving a
variety of problems including classification and function approximation type of problems …

Abstract In this study, Standardized Effective Precipitation Index SEPI (for 3 and 6-month
time scales) derived from Standardized Precipitation Index (SPI) methodology has been …

A log-linear modelling for 3-dimensional contingency tables was used with categorical time
series of SPI drought class transitions for prediction of monthly drought severity …

Drought is one of the most frequent natural disasters to occur in north-central Mexico and its
identification and characterization are crucial for mitigating its effects. This study analyzed …

In this study the frequencies of drought categories are evaluated by SPI index in monthly
time scale using data of seven stations in Iran. SPI index data of total period (60 years) sets …

Drought is regarded as one of the most severe natural disasters globally. This is especially
the case in Tianjin City, Northern China, where drought can affect economic development …

La sequía es uno de los desastres naturales más frecuentes en el centro-norte de México, y
su identificación y caracterización son cruciales para tratar de mitigar sus efectos. Se …

Aydeniz Yöntemi ve Coğrafi Bilgi Sistemleri ile Antalya'daki Aksu Sulama Alanı için Kuraklık
Analizi Page 1 Türkiye’de Tarımsal Yayım Sisteminde Çoğulcu Yapının Bir Görünümü 109 Ege …

In this study, a drought analysis has been carried out for Aksu-Antalya Irrigation Area by
using Aydeniz Method and Geographic Information Systems. Meteorological data of Antalya …