Floods are among the most destructive natural disasters, which are highly complex to model.
The research on the advancement of flood prediction models contributed to risk reduction …

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

Interest in semiarid climate forecasting has prominently grown due to risks associated with
above average levels of precipitation amount. Longer-lead forecasts in semiarid watersheds …

The accuracy of four evolutionary neuro fuzzy methods, adaptive neuro-fuzzy inference
system with particle swarm optimization (ANFIS-PSO), ANFIS with genetic algorithm (ANFIS …

Drought forecasting is a vital for mitigating the impact of drought events on the economy,
tourism, agriculture and water resource systems. This paper adopts the proposed Wavelet …

The shortage of surface water in arid and semiarid regions has led to the more use of the
groundwater resources. In these areas, the groundwater is essential for activities such as …

Drought is a natural hazard creating havoc on economic, social and environmental aspects.
As a result of its slow and cree** nature, it is problematic to establish the onset as well as …

Study region Sixteen different sites from two provinces (Lorestan and Illam) in the western
part of Iran were considered for the field data measurement of cumulative infiltration …

Monitoring agricultural drought utilizing the least variables can be useful at the areas with
just rain gauge stations, especially in Iran, which is located in arid belt of the world. In this …

Hydrological drought forecasting is a key component in water resources modeling as it
relates directly to water availability. It is crucial in managing and operating dams, which are …