Rising food demands are increasingly threatened by declining crop yields in urbanizing
riverine regions of Southern Asia, exacerbated by erratic weather patterns. Optimizing …

The precise selection of agricultural land is essential for guaranteeing global food security
and sustainable development. Additionally, agricultural land suitability (AgLS) analysis is …

Flood risk management studies require reliable estimates of extreme precipitation at high
spatial–temporal distribution to force hydrologic models. Recently, Remote Sensing Rainfall …

Hydrological models are critical for water resources planning and management. The
precision and reliability of the simulations hinge greatly on the accessibility and quality of …

Hydrological modeling plays a significant role in addressing global water challenges.
Streamlining the implementation of hydrological models enables more people to participate …

Estimation of hydrological processes is critical to water resource management, water supply
planning, ecological protection, and climate change impact assessment. Mountains in …

Reanalysis datasets provide a reliable reanalysis of climate input data for hydrological
models in regions characterized by limited weather station coverage. In this paper, the …

Accurate streamflow estimation and assessing the significant parameters are crucial for
effective water resource management. In this research, the SWAT model was used to …

The accelerating degradation and damage of forest ecosystems worldwide due to human
activities represent a pressing concern. This is particularly evident in Bangladesh, where the …

Fine-temporal resolution rainfall is a prerequisite for flood risk-related studies. In recent
years, satellite precipitation products (SPPs) have gained some attention in the hydro …