Bakaano-Hydro is a distributed hydrology-guided neural network model for streamflow prediction. It uniquely integrates physically based hydrological principles with the generalization capacity of ...
Hydrological models are essential for predicting water flux dynamics, including extremes, and managing water resources, yet traditional process-based large-scale models often struggle with accuracy ...
A precise streamflow forecast is crucial in hydrology for flood alerts, water quantity and quality management, and disaster preparedness. Machine learning (ML) techniques are commonly employed for ...
The temporal dynamics of solute export from catchments are challenging to quantify and model due to confounding hydrological and biogeochemical processes and sparse measurements. Conventionally, the ...
IIHR – Hydroscience and Engineering, University of Iowa, Iowa City, Iowa 52242, United States Department of Civil & Environmental Engineering, University of Iowa, Iowa City, Iowa 52242, United States ...
Subsurface permeability is a key parameter in watershed models that controls the contribution from the subsurface flow to stream flows. Since the permeability is difficult and expensive to measure ...
The global water crisis is intensifying, with significant wastage and challenges in supply and demand. Less than one percent of the earth's surface water is suitable for human consumption, ...
Phosphorus (P) reserves in Earth’s rocks are finite. P loss from land to rivers threatens not only food production but also aquatic ecosystem health. Long-term trend analysis of P loss has ...
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