Literature DB >> 31301495

Engaging stakeholders in the assessment of NBS effectiveness in flood risk reduction: A participatory System Dynamics Model for benefits and co-benefits evaluation.

Alessandro Pagano1, Irene Pluchinotta2, Polona Pengal3, Blaž Cokan4, Raffaele Giordano5.   

Abstract

There is an imperative worldwide need to identify effective approaches to deal with water-related risks, and mainly with increasingly frequent floods, as well as with severe droughts. Particularly, policy and decision-makers are trying to identify systemic strategies that, going beyond the mere risk reduction, should be capable to deal simultaneously with multiple challenges (such as climate resilience, health and well-being, quality of life), thus providing additional benefits. In this direction, the contribution of Nature Based Solutions (NBS) is relevant, although their wider implementation is still hampered by several barriers, such as the uncertainty and lack of information on their long-term behavior and the difficulty of quantitatively valuing their multidimensional impacts. The activities described in the present paper, carried out within the EU funded project NAIAD, mainly aim at developing a participatory System Dynamic Model capable to quantitatively assess the effectiveness of NBS to deal with flood risks, while producing a multiplicity of co-benefits. The adoption of a participatory approach supported both to increase the available knowledge and the awareness about the potential of NBS and hybrid measures (e.g. a combination of NBS and socio-institutional ones). Specific reference is made to one of the demos of the NAIAD project, namely the Glinščica river case study (Slovenia).
Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Co-benefits; Flood risk reduction; Nature Based Solutions; Participatory modelling; System Dynamic Modelling

Year:  2019        PMID: 31301495     DOI: 10.1016/j.scitotenv.2019.07.059

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  A Bayesian Modelling Framework for Integration of Ecosystem Services into Freshwater Resources Management.

Authors:  Michael Bruen; Thibault Hallouin; Michael Christie; Ronan Matson; Ewa Siwicka; Fiona Kelly; Craig Bullock; Hugh B Feeley; Edel Hannigan; Mary Kelly-Quinn
Journal:  Environ Manage       Date:  2022-02-16       Impact factor: 3.644

Review 2.  Assessing the state of the art in community engagement for participatory decision-making in disaster risk-sensitive urban development.

Authors:  Devindi Geekiyanage; Terrence Fernando; Kaushal Keraminiyage
Journal:  Int J Disaster Risk Reduct       Date:  2020-09-16       Impact factor: 4.320

  2 in total

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