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Updated: May 15, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Nature-based Solutions as Building Blocks for coastal flood risk reduction: a model-based ecosystem service
Massimiliano Marino1, Martin J Baptist2, Ahmad I K Alkharoubi3
1Department of Civil Engineering and Architecture, University of Catania, Via Santa Sofia 64, Catania, Italy. massimiliano.marino@unict.it.
Nature-based Solutions (NbS) effectively reduce flood risks. This study introduces a model to quantify flood risk reduction ecosystem services (FRR-ESS) from coastal NbS under future climate scenarios.
Area of Science:
- Environmental Science
- Coastal Ecology
- Climate Change Adaptation
Background:
- Nature-based Solutions (NbS) are vital for flood risk mitigation and climate adaptation.
- Current evaluation methods for flood risk reduction ecosystem services (FRR-ESS) are often qualitative and limited, especially for future climate scenarios.
- Deep uncertainties exist in assessing NbS efficacy under changing environmental conditions.
Purpose of the Study:
- To develop and present a model-based framework for quantifying FRR-ESS provided by coastal NbS.
- To enable comparative evaluation of NbS effects, both individually and in combination, using a Building Blocks approach.
- To investigate the flood reduction response of NbS to present and future storm scenarios, including sea level rise and altered wave climate.
Main Methods:
- Integration of expert-based assessments with quantitative results from an eco-hydro-morphodynamic numerical model.
- Application of a Building Blocks approach for evaluating individual and combined NbS impacts.
- Incorporation of habitat map change prediction to assess NbS response under various storm scenarios.
Main Results:
- The model framework successfully quantifies FRR-ESS for coastal NbS.
- Significant role of coastal habitats in reducing flood risk demonstrated.
- Physically-based modeling integration is crucial for robust FRR-ESS evaluation.
Conclusions:
- The developed model provides a robust and flexible tool for evaluating coastal NbS.
- Findings highlight the importance of integrating quantitative modeling into ecosystem service assessments.
- This approach supports informed decision-making for ecological sustainability and disaster risk reduction.
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