Proposal ID: SEP-210504674
Role: Coordinator
Topic: LC-CLA-04-2018
Type of action: RIA
Call identifier: H2020-LC-CLA-2018-2019-2020

Development of a Decision Support System for Improved Resilience & Sustainable Reconstruction of historic areas to cope with Climate Change & Extreme Events based on Novel Sensors and Modelling Tools:HYPERION

Duration in months: 42
Fixed keyword 1: S4 - Climate change monitoring (Copernicus service)
Fixed keyword 2: Digitalisation/ICT and cultural heritage
Fixed keyword 3: Construction, Civil engineering, Infraestructures
Fixed keyword 4: Technological innovation
Free keywords: Downscaled climatic maps, hygrothermal, structural and geotechnical simulation tool, computer vision
and machine learning, holistic resilience assessment platform, social platform for awareness

HYPERION aims to introduce a research framework for downscaling the created climate and atmospheric composition as well as associated risk maps down to the 1×1 km (historic area) scale, and specific damage functions for Cultural Heritage (CH) materials. Applying atmospheric modelling for specific Climate Change (CC) scenarios at such refined spatial and time scales allows for an accurate quantitative and qualitative impact assessment of the estimated micro-climatic and atmospheric stressors. HYPERION will perform combined hygrothermal and structural/geotechnical analysis of the CH sites (indoor climate, HVAC, related strains and stresses, etc.) and damage assessment under normal and changed conditions, based on the climatic zone, the micro-climate conditions, the petrographic and textural features of building materials, historic data for the structures, the effect of previous restoration processes and the environmental/physical characteristics of the surrounding environment. The data coming from the integrated monitoring system will be coupled with simulated data (under our holistic resilience assessment platform-HRAP) and will be further analysed through our data management system, while supporting communities’ participation and public awareness. The data from the monitoring system will feed the DSS so as to provide proper adaptation and mitigation strategies, and support sustainable reconstruction plans for the CH damages. The produced vulnerability map will be used by the local authorities to assess the threats of CC (and other natural hazards), visualize the built heritage and cultural landscape under future climate scenarios, model the effects of different adaptation strategies, and ultimately prioritize any rehabilitation actions to best allocate funds in both pre- and post-event environments.
The project outcomes will be demonstrated to four European historic areas in Norway, Spain, Italy and Greece (representing different climatic zones).

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