Human activities and climate change constitute the contemporary catalyst for natural
processes and their impacts, ie, geo-environmental hazards. Globally, natural catastrophic …

Drought forecasting can effectively reduce the risk of drought. We proposed a hybrid model
based on deep learning methods that integrates an autoregressive integrated moving …

The ever-increasing need for water, the alteration in the climate, and its observed changes
over recent years have triggered a lot of research studies associated with the phenomenon …

The questions of scale, limit, and areal extent are central points for any drought assessment
effort. Drought indices, such as the Standardized Precipitation Index (SPI) and the …

Drought forecasts could effectively reduce the risk of drought. Data-driven models are
suitable forecast tools because of their minimal information requirements. The motivation for …

Located in a transition zone between the northern and southern climates in China, the Huai
River Basin is prone to extreme events such as drought and flood. Based on the daily …

The scope of the present research is to assess drought events using the Standardized
Precipitation Index (SPI), which can provide accurate results of drought features on a …

Future changes in drought characteristics in Greece were investigated using dynamically
downscaled high-resolution simulations of 5 km. The Weather Research and Forecasting …

The degradation of natural resources at an intense rate creates serious problems in the
environmental systems particularly with the compounding effects of climatic vagaries and …

Drought is a gradual phenomenon that occurs slowly and directly impacts human life and
agricultural products. Due to its significant damage, comprehensive studies must be …