4.6 Article

Hydraulic Efficiency of Green-Blue Flood Control Scenarios for Vegetated Rivers: 1D and 2D Unsteady Simulations

Journal

WATER
Volume 13, Issue 19, Pages -

Publisher

MDPI
DOI: 10.3390/w13192620

Keywords

ecohydraulics; BMP; flood control; urban areas; vegetated flows; unsteady hydraulic simulations; LID; green-blue scenarios

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This study evaluated the hydraulic efficiency of two green-blue scenarios for reducing flood hazards in an urban area intersected by a vegetated river. It was found that the first scenario, which involved a diffuse effect of flood peak reduction along the river, was a valuable alternative to the more impacting second scenario due to the presence of flood control areas.
Flood hazard mitigation in urban areas crossed by vegetated flows can be achieved through two distinct approaches, based on structural and eco-friendly solutions, referred to as grey and green-blue engineering scenarios, respectively; this one is often based on best management practices (BMP) and low-impact developments (LID). In this study, the hydraulic efficiency of two green-blue scenarios in reducing flood hazards of an urban area crossed by a vegetated river located in Central Tuscany (Italy), named Morra Creek, were evaluated for a return period of 200 years, by analyzing the flooding outcomes of 1D and 2D unsteady hydraulic simulations. In the first scenario, the impact of a diffuse effect of flood peak reduction along Morra Creek was assessed by considering an overall real-scale growth of common reed beds. In the second scenario, riverine vegetation along Morra Creek was preserved, while flood hazard was mitigated using a single vegetated flood control area. This study demonstrates well the benefits of employing green-blue solutions for reducing flood hazards in vegetated rivers intersecting agro-forestry and urban areas while preserving their riverine ecosystems. It emerged that the first scenario is a valuable alternative to the more impacting second scenario, given the presence of flood control areas.

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