(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)

Objective:Recent studies highlight the potential impact of climate change (CC) and geo-hazards (such as landslides and earthquakes) on historic areas hosting cultural heritage (CH) sites and monuments, which in turn yield significant adverse impacts on economies, politics and societies. The deterioration of CH sites is one of the biggest challenges in conservation; aspects such as building technologies/materials, structural responses, preventive measures and restoration strategies, resilience and adaptation methodologies must be considered. Currently there is no specific process towards understanding and quantifying CC effects on historic areas; combined with the limited strategies on CC-related issues, it becomes difficult to assess quantitatively and qualitatively the impact of various climatic and other parameters on the CH sites. Within this frame, HYPERION aims to leverage existing tools and services (e.g., climate/extreme events models, and their impacts, decay models of building materials, Copernicus services, etc.), novel technologies (terrestrial and satellite imaging for wide-area inspection, advanced machine learning, etc.) to deliver an integrated resilience assessment platform, addressing multi-hazard risk understanding, better preparedness, faster, adapted and efficient response, and sustainable reconstruction of historic areas.

LHTEE Contribution: Within the frame of HYPERION LHTEE will adapt, develop, calibrate and validate climate impact models and hazard models related to atmospheric composition change and air pollution, aiming in the assessment of atmospheric and climate stressors in specific Cultural Heritage (CH) sites. LHTEE will coordinate all technical activities related to the compilation of high-resolution input data for the atmosphere- and soil-related modelling. In particular, LHTEE will undertake reviewing and inventorying sources of land use, atmospheric, meteorological and climatic data and services, as well as existing climate simulation databases of reanalysis- and modelling results, including Climate Change scenarios. LHTEE will process and utilize collected high resolution data in order to apply a two-way nested coupled methodology using the MEMO and MEMICO models, in order to account for multiscale interactions affecting local-scale pollutant concentrations at CH sites.

Funded by: European Commission, Horizon 2020

Major Partners:

  1. Institute of Communication and Computer Systems, Greece
  2. Finnish Meteorological Institute, Finland
  3. Resilience Guard, GmbH, Switzerland
  4. Oslomet, Norway
  5. National Technical University of Athens, Greece
  6. Universita Degli Studi Di Padova, Italy
  7. Universidad De Granada, Spain