This study investigates the feasibility of a relevance vector machine tuned with improved
Manta-Ray foraging optimization (RVM-IMRFO) in predicting monthly pan evaporation using …

Agriculture, meteorological, and hydrological drought is a natural hazard which affects
ecosystems in the central India of Maharashtra state. Due to limited historical data for …

There is increasing interest in harnessing the microbiome to improve crop** systems. With
the availability of high—throughput and low—cost sequencing technologies, gathering …

Nowadays, great attention has been attributed to the study of runoff and its fluctuation over
space and time. There is a crucial need for a good soil and water management system to …

The accurate assessment of groundwater levels is critical to water resource management.
With global warming and climate change, its significance has become increasingly evident …

Rainfall forecasting is critical because it is the componen t that has the strongest link to
natural disasters such as landslides, floods, mass movements, and avalanches. The present …

Dams significantly impact river hydrology by changing the timing, size, and frequency of low
and high flows, resulting in a hydrologic regime that differs significantly from the natural flow …

This work reveals the effect of hidden layers (HL) and neurons (N) on the performance of
artificial neural network (ANN) models in predicting clayey soil's hydraulic conductivity (K) …

Abstract Knowledge of the stage-discharge rating curve is useful in designing and planning
flood warnings; thus, develo** a reliable stage-discharge rating curve is a fundamental …

River streamflow is an essential hydrological parameters for optimal water resource
management. This study investigates models used to estimate monthly time-series river …