Tecnalia presents the results of the Green Anoeta case study and proves the importance of nature-based solutions when adapting cities to climate change

17/11/2023

Modelling exercises for a micro-scale simulation of thermal comfort and surface runoff have been carried out in the framework of the LIFE IP Urban Klima 2050 and ECOINNOVADOR Estudio projects to improve surface runoff with nature-based solutions.

On 10 November, Tecnalia presented the results of the modelling exercises for the micro-scale simulation of thermal comfort and surface runoff in the Green Anoeta area to various departments of the Donostia/San Sebastián City Council.

These modelling exercises aim to analyse the effectiveness of urban projects that include nature-based solutions (NbS) to address the challenges facing cities in the context of climate change.

The exercises carried out at Green Anoeta combine the results of two applied research projects: the assessment of the effectiveness of nature-based solutions to improve thermal comfort in climate change scenarios (in the context of the LIFE URBAN KLIMA 2050 project, specifically action C4.1) and the assessment of the effectiveness of nature-based solutions to improve surface runoff and flood prevention (in the context of the ECOINNOVADOR Estudio project to improve surface runoff by means of nature-based solutions).

The modelling exercises yield the following results in the comparative analysis between the project’s situation (optimal scenario) and the baseline situation (current urban design):

The results at Green Anoeta show the importance of nature-based solutions in the adaptation of cities and highlight that their implementation is more effective in climate change scenarios than under current climate conditions, which means that they are cost-efficient.

As a result of these exercises and others with a similar scale of application in Bilbao and Vitoria, the lessons learnt will be used to create a guide that will enable the integration of adaptation to climate change as a vector for decision-making in urban design processes.