Over the past few years, Deep Learning (DL) methods have garnered substantial
recognition within the field of hydrology and water resources applications. Beginning with a …

To gain a better understanding of the global application of soil erosion prediction models,
we comprehensively reviewed relevant peer-reviewed research literature on soil-erosion …

Flood forecasting is an essential non-engineering measure for flood prevention and disaster
reduction. Many models have been developed to study the complex and highly random …

Understanding the effects of climate change and anthropogenic activities on the
hydrogeomorpholgical parameters in wetlands ecosystems is vital for designing effective …

The expansion of irrigated agriculture is of paramount importance to feed the burgeoning
global population. However, without proper management, this expansion can result in …

To give soils and soil degradation, which are among the most crucial threats to ecosystem
stability, social and political visibility, small and large scale modelling and mapping of soil …

Accurate prediction of river runoff is of great significance for water resources management,
flood prevention and mitigation. The causes of runoff are complex and the mechanisms …

Abstract The Soil and Water Assessment Tool (SWAT) is a well-established eco-hydrological
model that has been extensively applied to watersheds across the globe. This work reviews …

Nitrous oxide (N2O) is a long-lived greenhouse gas that contributes to global warming.
Emissions of N2O mainly stem from agricultural soils. This review highlights the principal …

Population growth, economic development, and dietary changes have drastically increased
the demand for food and water. The resulting expansion of irrigated agriculture into semi …