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

Droughts are prolonged precipitation-deficient periods, resulting in inadequate water
availability and adverse repercussions to crops, animals and humans. Drought forecasting is …

Drought is the least understood natural disaster due to the complex relationship of multiple
contributory factors. Its beginning and end are hard to gauge, and they can last for months or …

Quality and reliable drought prediction is essential for mitigation strategies and planning in
disaster-stricken regions globally. Prediction models such as empirical or data-driven …

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

Water quality experiments are difficult, costly, and time-consuming. Therefore, different
modeling methods can be used as an alternative for these experiments. To achieve the …

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 …

Hydrological drought forecasting is considered a key component in water resources risk
management. As sustained meteorological drought may lead to hydrological drought over …

Accurate monitoring and forecasting of drought are crucial. They play a vital role in the
optimal functioning of irrigation systems, risk management, drought readiness, and …

Reliable prediction of evaporative losses from reservoirs is an essential component of
reservoir management and operation. Conventional models generally used for evaporation …