Resumen
Nature Based Solutions contribute both to mitigate and to adapt the cities to the impacts caused by climate change at urban level. Several methods and tools exist for assessing each strategy. However, none of them allow to cover the whole steps included from analyzing climate trends that could affect the cities, to NBS effectiveness. This paper reviews and classifies existing methods according to the relevant steps of climate resilience and NBS effectiveness, and a combination of various of those methods is presented in a practical case study. Bottom-up city energy, economic and environmental modelling have been performed to understand mitigation effects of NBS implementation at building and neighborhood level. Urban hydrodynamics and fluid dynamics have been modelled too, allowing the estimation of the adaptation effectiveness of the NBS scenarios in flooding and temperatures reduction respectively. Moreover, city vulnerability and urban risks, considering IPCC scenarios regarding climate trends, have been assessed to understand the areas of the city more vulnerable to the impact of climate change. Results show that strategies and climate hazards has been worked in a split way and there is a need to connect better mitigation and adaptation information to facilitate the municipalities taking robust decisions regarding the NBS implementation.
Idioma original | Inglés |
---|---|
Número de artículo | 012078 |
Páginas (desde-hasta) | 12078 |
Número de páginas | 1 |
Publicación | IOP Conference Series: Earth and Environmental Science |
Volumen | 323 |
N.º | 1 |
DOI | |
Estado | Publicada - 5 sept 2019 |
Evento | Sustainable Built Environment D-A-CH Conference 2019: Transition Towards a Net Zero Carbon Built Environment, SBE 2019 Graz - Graz, Austria Duración: 11 sept 2019 → 14 sept 2019 |
Palabras clave
- Urban climate mitigation
- Nature Based Solutions
Project and Funding Information
- Project ID
- info:eu-repo/grantAgreement/EC/H2020/730468/EU/Nature Based Solutions for re-naturing cities: knowledge diffusion and decision support platform through new collaborative models/Nature4Cities
- Funding Info
- The work presented in this article is part of an analysis carried within Nature4Cities project, which has_x000D_ received funding from the European Union’s Horizon 2020 research and innovation programme under_x000D_ grant agreement No 730468.