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Improving estuary models by reducing uncertainties associated with river flows
Abstract To mitigate against future changes to estuaries such as water quality, catchment and estuary models can be coupled to simulate the transport of harmful pathogenic viruses, pollutants and nutrients from their terrestrial sources, through the estuary and to the coast. To predict future changes to estuaries, daily mean river flow projections are typically used. We show that this approach cannot resolve higher frequency discharge events that have large impacts to estuarine dilution, contamination and recovery for two contrasting estuaries. We therefore characterise sub-daily scale flow variability and propagate this through an estuary model to provide robust estimates of impacts for the future. River flow data (35-year records at 15-min sampling) were used to characterise variabilities in storm hydrograph shapes and simulate the estuarine response. In particular, we modelled a fast-responding catchment-estuary system (Conwy, UK), where the natural variability in hydrograph shapes generated large variability in estuarine circulation that was not captured when using daily-averaged river forcing. In the extreme, the freshwater plume from a ‘flash’ flood (lasting
- University of Bristol United Kingdom
- Bangor University United Kingdom
- University of Hull United Kingdom
- University of Hull United Kingdom
- Bangor University United Kingdom
550, River variability, Conwy, estuary model uncertainty, 551, water quality, 333, river variability, Climate change, Energy, Estuary model uncertainty, 500, Humber, Environment and Sustainability, Water quality, climate change, Hydrology
550, River variability, Conwy, estuary model uncertainty, 551, water quality, 333, river variability, Climate change, Energy, Estuary model uncertainty, 500, Humber, Environment and Sustainability, Water quality, climate change, Hydrology
