A Framework for Evaluating Performance of Large-Scale Nature-Based Solutions to Reduce Hydro-Meteorological Risks and Enhance Co-benefits

Laddaporn Ruangpan; Zoran Vojinovic

doi:10.1007/978-981-19-1600-7_33

A Framework for Evaluating Performance of Large-Scale Nature-Based Solutions to Reduce Hydro-Meteorological Risks and Enhance Co-benefits

Laddaporn Ruangpan^*, Zoran Vojinovic

^*Corresponding author for this work

BT/Biotechnologie

Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific › peer-review

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Abstract

Over recent decades, hydro-meteorological disasters appear to be becoming more intense and frequent. Nature-Based Solutions (NBS) have been introduced to address hydro-meteorological risks as they offer the possibility of working closely with nature. This provides solutions to adapt to future changes in climate and society, as well as to achieve multiple benefits to services and functions of ecosystems. However, the performance and efficiency of NBS for hydro-meteorological risk reduction are still highly uncertain. Scientists and decision-makers require holistic perspectives and frameworks to help understand, evaluate and design NBS in such a way that can minimize social and economic losses, reduce environmental impacts and increase resilience to hydro-meteorological events. Therefore, methods or frameworks that can be used to evaluate NBS performance are necessary. In this work, a framework for evaluating large-scale NBS for hydro-meteorological risks is presented. The evaluation framework is separated into three main stages; identification of Indicators, before implementation (ex-ante) evaluation and after implementation (ex-post) evaluation. Developing a framework will be useful in assisting and supporting communities that wish to implement NBS for hydro-meteorological risk reduction, as well as communities that have implemented NBS and wish to assess their effectiveness. The work presented here is part of the EC-funded HORIZON 2020 RECONECT project (Regenerating Ecosystems with Nature-based solutions for hydro-meteorological risk rEduCTion).

Original language	English
Title of host publication	EditorsAdvances in Hydroinformatics
Subtitle of host publication	Models for Complex and Global Water Issues—Practices and Expectations
Editors	Philippe Gourbesville, Guy Caignaert
Place of Publication	Singapore
Publisher	Springer Nature
Pages	515-527
Number of pages	13
ISBN (Electronic)	978-981-19-1600-7
ISBN (Print)	978-981-19-1599-4
DOIs	https://doi.org/10.1007/978-981-19-1600-7_33
Publication status	Published - 2022

Publication series

Name	Springer Water
ISSN (Print)	2364-6934
ISSN (Electronic)	2364-8198

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Hazards
Impact assessment
Monitoring
NBS
Stakeholders involvement

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-981-19-1600-7_33

978-981-19-1600-7_33Final published version, 443 KB

Cite this

Ruangpan, L., & Vojinovic, Z. (2022). A Framework for Evaluating Performance of Large-Scale Nature-Based Solutions to Reduce Hydro-Meteorological Risks and Enhance Co-benefits. In P. Gourbesville, & G. Caignaert (Eds.), EditorsAdvances in Hydroinformatics: Models for Complex and Global Water Issues—Practices and Expectations (pp. 515-527). (Springer Water). Springer Nature. https://doi.org/10.1007/978-981-19-1600-7_33

Ruangpan, Laddaporn ; Vojinovic, Zoran. / A Framework for Evaluating Performance of Large-Scale Nature-Based Solutions to Reduce Hydro-Meteorological Risks and Enhance Co-benefits. EditorsAdvances in Hydroinformatics: Models for Complex and Global Water Issues—Practices and Expectations. editor / Philippe Gourbesville ; Guy Caignaert. Singapore : Springer Nature, 2022. pp. 515-527 (Springer Water).

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Ruangpan, L & Vojinovic, Z 2022, A Framework for Evaluating Performance of Large-Scale Nature-Based Solutions to Reduce Hydro-Meteorological Risks and Enhance Co-benefits. in P Gourbesville & G Caignaert (eds), EditorsAdvances in Hydroinformatics: Models for Complex and Global Water Issues—Practices and Expectations. Springer Water, Springer Nature, Singapore, pp. 515-527. https://doi.org/10.1007/978-981-19-1600-7_33

A Framework for Evaluating Performance of Large-Scale Nature-Based Solutions to Reduce Hydro-Meteorological Risks and Enhance Co-benefits. / Ruangpan, Laddaporn; Vojinovic, Zoran.
EditorsAdvances in Hydroinformatics: Models for Complex and Global Water Issues—Practices and Expectations. ed. / Philippe Gourbesville; Guy Caignaert. Singapore: Springer Nature, 2022. p. 515-527 (Springer Water).

Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific › peer-review

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AB - Over recent decades, hydro-meteorological disasters appear to be becoming more intense and frequent. Nature-Based Solutions (NBS) have been introduced to address hydro-meteorological risks as they offer the possibility of working closely with nature. This provides solutions to adapt to future changes in climate and society, as well as to achieve multiple benefits to services and functions of ecosystems. However, the performance and efficiency of NBS for hydro-meteorological risk reduction are still highly uncertain. Scientists and decision-makers require holistic perspectives and frameworks to help understand, evaluate and design NBS in such a way that can minimize social and economic losses, reduce environmental impacts and increase resilience to hydro-meteorological events. Therefore, methods or frameworks that can be used to evaluate NBS performance are necessary. In this work, a framework for evaluating large-scale NBS for hydro-meteorological risks is presented. The evaluation framework is separated into three main stages; identification of Indicators, before implementation (ex-ante) evaluation and after implementation (ex-post) evaluation. Developing a framework will be useful in assisting and supporting communities that wish to implement NBS for hydro-meteorological risk reduction, as well as communities that have implemented NBS and wish to assess their effectiveness. The work presented here is part of the EC-funded HORIZON 2020 RECONECT project (Regenerating Ecosystems with Nature-based solutions for hydro-meteorological risk rEduCTion).

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KW - Impact assessment

KW - Monitoring

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KW - Stakeholders involvement

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Ruangpan L, Vojinovic Z. A Framework for Evaluating Performance of Large-Scale Nature-Based Solutions to Reduce Hydro-Meteorological Risks and Enhance Co-benefits. In Gourbesville P, Caignaert G, editors, EditorsAdvances in Hydroinformatics: Models for Complex and Global Water Issues—Practices and Expectations. Singapore: Springer Nature. 2022. p. 515-527. (Springer Water). doi: 10.1007/978-981-19-1600-7_33

A Framework for Evaluating Performance of Large-Scale Nature-Based Solutions to Reduce Hydro-Meteorological Risks and Enhance Co-benefits

Abstract

Publication series

Bibliographical note

Keywords

UN SDGs

Access to Document

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Cite this