Tag: Hydrological modelling
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EO data may improve flood monitoring and forecasting
Satellite data can improve flood predictions in regions with limited ground monitoring networks
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Integrated calibration improved Nile River model performance
Optimizing river models to predict water quality and flow in Egypt's Nile
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DeepDiscover infers bucket-type hydrological models from data
Automatic discovery of rainfall-runoff models without expert-defined equations
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Dataset covers sewer flow, pollution, and rain observations from 2008 to 2011
Four years of detailed measurements tracking water flow and pollution in an Austrian sewer system
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Projected land cover change slightly increases flood discharge
How changing land use will affect flood severity in a watershed by 2035
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Hydrological ML accuracy depends on training data quantity and quality
How data volume and quality affect machine learning predictions for water and nutrient flow
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Model-based planning reduced runoff in a semi-arid watershed
Conservation practices boost water retention in semi-arid watersheds
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Human water management alters streamflow in key U.S. regions
Mapping human water management impacts on U.S. streamflow patterns
