Improved Resilience and Sustainable Reconstruction of Cultural Heritage Areas to cope with Climate Change and Other Hazards based on Innovative Algorithms and Modelling Tools

Published: Dec 22, 2022
Cultural Heritage Climate change Hyperspectral data Data Management System Visualization Monitoring
Kyriakos Labropoulos
Charalampos Zafeiropoulos
Charalampos Zafeiropoulos
Ioannis Rallis
Anastasios Doulamis
Nikolaos Doulamis
Antonia Moropoulou

Our proposed framework aims to efficiently train a network of fellows on the field of the resilience of Cultural Heritage (CH) areas and historic cities against Climate Change (CC) and other types of hazards. Towards this direction, the proposed framework aims to introduce a research framework for downscaling the created climate and atmospheric composition as well as associated risk maps down to the 1x1 km (historic area) scale, and specific damage functions for CH ma-terials. Applying atmospheric modelling for specific CC scenarios at such refined spatial and time scales allows for an accurate quantitative and qualitative impact as-sessment of the estimated micro-climatic and atmospheric stressors. Our proposed framework will perform combined structural/geotechnical analysis of the CH sites and damage assessment under normal and changed conditions, based on the cli-matic 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 envi-ronment. The data coming from installed monitoring system will be coupled with simulated data 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 Decision- Support-System (DSS) so as to pro-vide proper adaptation and mitigation strategies. 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 prior-itize any rehabilitation actions to best allocate funds in both pre- and post-event en-vironments. To train the fellows, our approach will make use of extensive workshop and training sessions, as well organise summer schools.

Article Details
  • Section
  • Digital Heritage - Holistic Approach
Ioannis Rallis, Athanasios Voulodimos, Nikolaos Bakalos, Eftychios Protopapadakis, Nikolaos Doulamis, and Anastasios Doulamis. Machine learning for intangible cultural heritage: A review. Visual Computing for Cultural Heritage, page 104, 2020.
Maria Kaselimi, Athanasios Voulodimos, Nikolaos Doulamis, Anastasios Doulamis, and Demitris Delikaraoglou. Air quality data time series modeling using deep recurrent neural networks on sentinel-5p products. In AGU Fall Meeting Abstracts, volume 2020, pages A060–0003, 2020.
Maria Kaselimi, Nikolaos Doulamis, Athanasios Voulodimos, Anastasios Doulamis, and Eftychios Protopapadakis. Energan++: A generative adversarial gated recurrent network for robust energy disaggregation. IEEE Open Journal of Signal Processing, 2:1–16, 2020.
Anastasia Kioussi, Anastasios Doulamis, Maria Karoglou, and Antonia I Moropoulou. Cultural intelligence-investigation of different systems for heritage sustainable preservation. International Journal of Art, Culture and Design Technologies (IJACDT), 9(2):16–30, 2020.
A. Kioussi, M. Karoglou, E. Protopapadakis, A. Doulamis, E. Ksinopoulou, A. Bakolas, and A. Moropoulou. A computationally assisted cultural heritage conservation method. Journal of Cultural Heritage, 48:119–128, 2021.
DG ECHO. Overview of natural and man-made disaster risks the european union may face. 2017.
COPERNICUS. Climate change service.
COPERNICUS. Emergency management service.
EDO. European drought observatory.
European Environment Agency (EEA). Economic losses from climate-related extremes. Copenhagen, Denmark 2017.
R.K. Pachauri Core Writing Team and L.A. Meyer (eds.). Climate change 2014. impacts, adaptation, and vulnerability. part a: Global and sectoral aspects, part b: Regional aspects. wg ii contribution; mitigation of climate change. wg iii contribution; synthesis report. contribution of wg i, ii and iii to the fifth assessment report of the intergovernmental panel on climate change. IPCC, 2014.
SINCERE. Strengthening international cooperation on climate change research. Project ID 776609, H2020-EU.3.5.1., 2018-22.
CLIC. Circular models leveraging investments in cultural heritage adaptive reuse. Project ID: 776758, H2020-EU.3.5.6., 2017-2020.
WeObserve. An ecosystem of citizen observatories for environmental monitoring. Project ID 776740, H2020-EU.3.5.5., 2017-2020.
JPI Climate. Joint programming initiative connecting climate knowledge for europe (jpi climate) strategic research innovation agenda. Project ID 776740, H2020-EU.3.5.5., 2016-2025.
FP7-ERA-NET. Cofund network: Era4cs- european research area for climate services. 690462., 2016-2021.
ROSEWOOD. European network of regions on sustainable wood mobilisation., 2018-2020.
Antonia Moropoulou, Chr Kourteli, A Bisbikou, and Th Tsiourva. Environmental impact assessment on the porous stone masonries of the rethymnon fortress. WIT Transactions on The Built Environment, 16,1970.
Antonia I Moropoulou and Kyriakos C Labropoulos. Non-destructive testing for assessing structural damage and interventions effectiveness for built cultural heritage protection. In Handbook of Research on Seismic Assessment and Rehabilitation of Historic Structures, pages 448–499. IGI Global, 2015.
AntoniaMoropoulou, Nicolas P Avdelidis, Maria Karoglou, Ekaterini T Delegou, Emmanouil Alexakis, and Vasileios Keramidas. Multispectral applications of infrared thermography in the diagnosis and protection of built cultural heritage. Applied Sciences, 8(2):284, 2018.
Priyadarsan Parida and Nilamani Bhoi. Fuzzy clustering based transition region extraction for image segmentation. Engineering Science and Technology, an International Journal, 21(4):547–563, 2018.
Advancing resilience of historic areas against climate-related and other hazards., 2019. [Online; accessed 01-June-2019].
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., 2019. [Online; accessed 01-June-2019].