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Abigail Ericson

Abstract: This research investigates how changes to floodplains in the Connecticut River Basin impact flood events. Climate impacted flows and increased development within the floodplain could lead to worsening flood events and less habitat availability for threatened species. Potential future conditions are evaluated through a wide range of scenarios to assess the range of possible impacts using a HEC-RAS 2D model. Three different flood events, 1-yr, 10-yr, and 100-yr, are evaluated for each scenario. Five metrics, Discharge, Depth, Time of Arrival, Flooding Duration, and Number of Buildings Flooded, are tracked for each scenario. These metrics are compared to select the ideal course of action given multiple potential...
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This research investigates how changes to floodplains in the Connecticut River Basin impact flood events. Potential future conditions and impacts are evaluated using a HEC-RAS 2D model to apply a range of land use scenarios differing in area of field and floodplain forest along the river. For each land use scenario, the three evaluated flood events have return intervals of 1-yr, 10-yr, and 100-yr. The metrics presented in this dataset are the resulting streamflow and stage along the Maidstone Bends floodplains of the Connecticut River, for each flood event in each land use scenario.
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This project identifies opportunities to manage flows, connections, and landscapes to increase the resilience of human communities and ecosystems. This research identifies dynamic and adaptive solutions to managing river flows that allow continued provision of valuable infrastructure services such as flood control, hydropower, and water supply, while also supporting thriving river ecosystems - both today and into the future. The goals of the research were to: 1) Evaluate the potential impacts of climate change on hydrologic regimes, 2) Determine the flow regime changes that will be required to provide riverine environmental services and any risk associated with these changes, and 3) Explore management alternatives...
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