Application of integrated hydrological models to manage a watershed's water resources are
increasingly finding their way into the decision-making processes. The Soil and Water …

Reliable quantitative information on sediment sources to rivers is critical to mitigate
contamination and target conservation and restoration actions. However, for large-scale …

Large-scale distributed watershed models are data-intensive, and preparing them
consumes most of the research resources. We prepared high-resolution global databases of …

Hydrological modeling has provided key insights into the mechanisms of land-use change
impacts on runoff. However, the uncertainty of this impact is poorly understood. This paper …

Flash floods are natural phenomena with environmental, social and economic impacts. To
date, few numerical models are able to simulate hydrological processes at catchment scale …

Predicting water quality and quantity response to climate change in a watershed is very
difficult due to the complexity and uncertainties in estimating and understanding future …

Uncertainties due to climate change and population growth have created a critical situation
for many megacities. Investigating spatio-temporal variability of water resources is, therefore …

Nitrate leaching from agricultural fields is a significant contributor of groundwater pollution
globally, threatening drinking water resources and downstream ecosystems. Quantifying …

Watershed scale models simulating hydrological and water quality processes have
advanced rapidly in sophistication, process representation, flexibility in model structure, and …

Watershed modelling is crucial for understanding fluctuations in water balance and ensuring
sustainable water management. The models' strength and predictive ability are heavily …