Literature DB >> 34088074

Nature-based solutions efficiency evaluation against natural hazards: Modelling methods, advantages and limitations.

Prashant Kumar1, Sisay E Debele2, Jeetendra Sahani2, Nidhi Rawat2, Belen Marti-Cardona2, Silvia Maria Alfieri3, Bidroha Basu4, Arunima Sarkar Basu5, Paul Bowyer6, Nikos Charizopoulos7, Glauco Gallotti8, Juvonen Jaakko9, Laura S Leo8, Michael Loupis10, Massimo Menenti11, Slobodan B Mickovski12, Seung-Jae Mun6, Alejandro Gonzalez-Ollauri12, Jan Pfeiffer13, Francesco Pilla5, Julius Pröll6, Martin Rutzinger14, Marco Antonio Santo8, Srikanta Sannigrahi5, Christos Spyrou15, Heikki Tuomenvirta9, Thomas Zieher13.   

Abstract

Nature-based solutions (NBS) for hydro-meteorological risks (HMRs) reduction and management are becoming increasingly popular, but challenges such as the lack of well-recognised standard methodologies to evaluate their performance and upscale their implementation remain. We systematically evaluate the current state-of-the art on the models and tools that are utilised for the optimum allocation, design and efficiency evaluation of NBS for five HMRs (flooding, droughts, heatwaves, landslides, and storm surges and coastal erosion). We found that methods to assess the complex issue of NBS efficiency and cost-benefits analysis are still in the development stage and they have only been implemented through the methodologies developed for other purposes such as fluid dynamics models in micro and catchment scale contexts. Of the reviewed numerical models and tools MIKE-SHE, SWMM (for floods), ParFlow-TREES, ACRU, SIMGRO (for droughts), WRF, ENVI-met (for heatwaves), FUNWAVE-TVD, BROOK90 (for landslides), TELEMAC and ADCIRC (for storm surges) are more flexible to evaluate the performance and effectiveness of specific NBS such as wetlands, ponds, trees, parks, grass, green roof/walls, tree roots, vegetations, coral reefs, mangroves, sea grasses, oyster reefs, sea salt marshes, sandy beaches and dunes. We conclude that the models and tools that are capable of assessing the multiple benefits, particularly the performance and cost-effectiveness of NBS for HMR reduction and management are not readily available. Thus, our synthesis of modelling methods can facilitate their selection that can maximise opportunities and refute the current political hesitation of NBS deployment compared with grey solutions for HMR management but also for the provision of a wide range of social and economic co-benefits. However, there is still a need for bespoke modelling tools that can holistically assess the various components of NBS from an HMR reduction and management perspective. Such tools can facilitate impact assessment modelling under different NBS scenarios to build a solid evidence base for upscaling and replicating the implementation of NBS.
Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Climate-impact mitigation; Cost-effectiveness; NBS upscaling; Nature-inspired solutions; Numerical models; Performance evaluation

Year:  2021        PMID: 34088074     DOI: 10.1016/j.scitotenv.2021.147058

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


  3 in total

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Authors:  Chukwueloka A U Okeke; Jonathan Uno; Sunday Academe; PraiseGod Chidozie Emenike; Tamunoene K S Abam; David Olugbenga Omole
Journal:  Sci Rep       Date:  2022-06-29       Impact factor: 4.996

2.  Natural hazard insurance demand: A systematic review.

Authors:  Farai B Mushonga; Syden Mishi
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  3 in total

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