Precipitation deficit conditions and temperature anomalies are responsible for the
occurrence of various types of natural disasters that cause tremendous loss of human life …

Drought is a prolonged period of low precipitation that negatively impacts agriculture,
animals, and people. Over the last decades, gradual changes in drought indices have been …

This paper focus on the drought monitoring and forecasting for semi-arid region based on
the various machine learning models and SPI index. Drought phenomena are crucial role in …

Standardized precipitation index prediction and monitoring are essential to mitigating the
effect of drought actions on precision farming, environments, climate-smart agriculture, and …

Riprap stones are frequently applied to protect rivers and channels against erosion
processes. Many empirical equations have been proposed in the past to estimate the unit …

Drought is a complex natural phenomenon, so, precise prediction of drought is an effective
mitigation tool for measuring the negative consequences on agriculture, ecosystems …

Accurate drought forecasting is necessary for early warning of drought hazards, water
resources and eco-environmental management. This study assessed the capability of the …

Drought is the most frequent natural disaster in Algeria during the last century, with a
severity ranging over the territory and causing enormous damages to agriculture and …

A new version of the fuzzy logic model, called the co-active neuro fuzzy inference system
(CANFIS), is introduced for predicting standardized precipitation index (SPI). Multiple scales …

This study aims to estimate hydrological drought risk using probabilistic analysis of bivariate
drought characteristics to assess both past and future drought severity and duration in three …