One of the critical consequences of climate change at both local and regional scales is a
change in the patterns of extreme climate events such as droughts. Focusing on the different …

This research predicted the meteorological drought of Sakarya province in northwest Türkiye
using long short-term memory (LSTM). This deep learning algorithm has gained popularity …

Droughts are among the most hazardous and costly natural disasters and are hard to
quantify and characterize. Accurate drought forecasting reduces droughts' devastating …

Drought is one of the costliest natural disasters worldwide and weakens countries
economically by causing negative impacts on hydropower and agricultural production …

Recent meteorological, hydrological, and agricultural droughts in the Mediterranean regions
have raised concerns about the impact of climate change. In this study, the meteorological …

Drought is one of the most severe climatic calamities, affecting many aspects of the
environment and human existence. Effective planning and decision making in disaster …

Drought, which is defined as a decrease in average rainfall amounts, is one of the most
insidious natural disasters. When it starts, people may not be aware of it, which is why …

Hydrological droughts may be referred to as sustained and regionally extensive water
shortages as reflected in streamflows that are noticeable and gauged worldwide …

This study investigates the drought condition based on streamflow drought index (SDI) using
various machine learning (ML) techniques. The ML models include Multiple Linear …

Determining drought indices and characteristics in Algeria is crucial because droughts
significantly impact water resources and agricultural production. Additionally, identifying the …