River flow (Q flow) is a hydrological process that considerably impacts the management and
sustainability of water resources. The literature has shown great potential for nature-inspired …

Extreme events such as heat waves and cold spells, droughts, heavy rain, and storms are
particularly challenging to predict accurately due to their rarity and chaotic nature, and …

The consequences of droughts are far-reaching, impacting the natural environment, water
quality, public health, and accelerating economic losses. Applications of remote sensing …

As artificial intelligence (AI) continues to rapidly evolve, the realm of Earth and atmospheric
sciences is increasingly adopting data-driven models, powered by progressive …

Drought is one natural disaster with the greatest impact worldwide. Southern Africa (SA) is
susceptible and vulnerable to drought due to its type of climate. In the last four decades …

Drought is a common and costly natural disaster with broad social, economic, and
environmental impacts. Machine learning (ML) has been widely applied in scientific …

Water availability for agricultural practices is dynamically influenced by climatic variables,
particularly droughts. Consequently, the assessment of drought events is directly related to …

Droughts cause significant economic losses in many regions around the world, highlighting
a need to more accurately quantify implications of drought on production and water …

Accurate multi-step ahead flood forecasting is crucial for flood prevention and mitigation
efforts as well as optimizing water resource management. In this study, we propose a Runoff …

This study proposed an interpretable model that combines Random Forest (RF), Optuna
hyperparameter optimization, and SHapley Additive exPlanations (SHAP) to achieve optimal …