Periodic Reporting for period 2 - YADES (Improved Resilience and Sustainable Reconstruction of Cultural Heritage Areas to cope with Climate Change and Other Hazards based on Innovative Algorithms and Modelling Tools)
Periodo di rendicontazione: 2023-04-01 al 2025-03-31
⁕ 3D capturing of wider area, ground based imaging and 3D reconstruction;
⁕ Damage assessment and structure deformation maps, surface material classification and degradation analysis and contour diagrams for the temperature profile;
⁕ Novel methodologies for deformation maps, ML-based algorithms for the assessment of land cover changes in the broader area, and overall estimation of the environmental condition of the CH site.
CHRAP will allow the integration of various analysis, modelling tools and damage/vulnerability functions, hence incorporating information from various sources with different levels of granularity together with the associated uncertainties.
⁕ Comprehensive risk and impact assessment of hazards on the structural/non-structural components, such as stone and masonry walls, sculptures, frescoes, paintings, etc.;
⁕ Testing of various risk management approaches, plans, strategies, countermeasures and adaptations for the selected structures;
⁕ Understanding the sensitivity of system assets, structures, and services to various hazards;
⁕ Understanding interdependency due to cascading events;
⁕ Setting up risk-based response strategies adapted to specific scenarios and defining efficient standard response procedures;
⁕ Assessing and quantifying the overall resilience of the CH area with a holistic quantitative approach;
⁕ Setting up contingencies and prequalified responses for critical supply chain operations and disruption in order to promote end-to-end resiliency,
⁕ Support the community-based participatory environment in the platform for increased CH participation and awareness and build Application Programming Interfaces;
⁕ Introducing local community load balancing models so as to ensure survival of the surrounding residential and business areas;
⁕ Evaluating and assessing the Maximum Acceptable Damage (MAD) that a CH site can afford before being considered as a total loss.
⁕ Damage assessment and structure deformation maps, surface material classification and degradation analysis and contour diagrams for the temperature profile;
⁕ Novel methodologies for deformation maps, ML-based algorithms for the assessment of land cover changes in the broader area, and overall estimation of the environmental condition of the CH site.
CHRAP will allow the integration of various analysis, modelling tools and damage/vulnerability functions, hence incorporating information from various sources with different levels of granularity together with the associated uncertainties.
⁕ Comprehensive risk and impact assessment of hazards on the structural/non-structural components, such as stone and masonry walls, sculptures, frescoes, paintings, etc.;
⁕ Testing of various risk management approaches, plans, strategies, countermeasures and adaptations for the selected structures;
⁕ Understanding the sensitivity of system assets, structures, and services to various hazards;
⁕ Understanding interdependency due to cascading events;
⁕ Setting up risk-based response strategies adapted to specific scenarios and defining efficient standard response procedures;
⁕ Assessing and quantifying the overall resilience of the CH area with a holistic quantitative approach;
⁕ Setting up contingencies and prequalified responses for critical supply chain operations and disruption in order to promote end-to-end resiliency,
⁕ Support the community-based participatory environment in the platform for increased CH participation and awareness and build Application Programming Interfaces;
⁕ Introducing local community load balancing models so as to ensure survival of the surrounding residential and business areas;
⁕ Evaluating and assessing the Maximum Acceptable Damage (MAD) that a CH site can afford before being considered as a total loss.
Objective 1: Develop innovative methodologies for dynamic risk assessment of cultural heritage areas, incorporating climate change and multi-hazard interactions.
During the reporting period, high-resolution climate and surface parameter maps (D3.1) and large-eddy simulations for wind impacts (D3.2) were produced. Dynamic fragility models based on UAV data and finite element analysis were developed (D5.2). The SG Simulator (D4.2) was introduced, integrating physical, social, and economic vulnerabilities for scenario testing.
Objective 2: Design and implement a monitoring framework using Earth Observation (EO), UAVs, and sensor networks for heritage damage assessment and resilience.
A multi-sensor CH monitoring methodology was defined (D5.1) integrating thermal, multispectral, and RGB UAV imagery. High-resolution site data were collected and processed (D7.2) feeding directly into the CHRAP platform (D6.2).
Objective 3: Develop a decision support system (CHRAP) that integrates multi-source data and simulates short- and long-term impacts of natural hazards and climate change.
The CHRAP middleware was implemented (D6.2) with modular architecture to integrate diverse data. A visualization interface (D6.3) provided 3D simulation and mapping functionalities, validated through pilot case studies.
Objective 4: Integrate socio-economic parameters, stakeholder inputs, and policy frameworks into risk and resilience assessment.
The SG Simulator (D4.2) incorporated socio-economic data, including loss estimations and behavioral factors. Stakeholder engagement through training events and policy workshops was reflected in D9.1.
Objective 5: Ensure sustainability and transferability through training, open-source tools, and stakeholder capacity-building.
Four summer schools were organized and delivered (D8.1) engaging diverse participants. The final exploitation strategy (D9.2) included open-source release plans and sustainability models.
During the reporting period, high-resolution climate and surface parameter maps (D3.1) and large-eddy simulations for wind impacts (D3.2) were produced. Dynamic fragility models based on UAV data and finite element analysis were developed (D5.2). The SG Simulator (D4.2) was introduced, integrating physical, social, and economic vulnerabilities for scenario testing.
Objective 2: Design and implement a monitoring framework using Earth Observation (EO), UAVs, and sensor networks for heritage damage assessment and resilience.
A multi-sensor CH monitoring methodology was defined (D5.1) integrating thermal, multispectral, and RGB UAV imagery. High-resolution site data were collected and processed (D7.2) feeding directly into the CHRAP platform (D6.2).
Objective 3: Develop a decision support system (CHRAP) that integrates multi-source data and simulates short- and long-term impacts of natural hazards and climate change.
The CHRAP middleware was implemented (D6.2) with modular architecture to integrate diverse data. A visualization interface (D6.3) provided 3D simulation and mapping functionalities, validated through pilot case studies.
Objective 4: Integrate socio-economic parameters, stakeholder inputs, and policy frameworks into risk and resilience assessment.
The SG Simulator (D4.2) incorporated socio-economic data, including loss estimations and behavioral factors. Stakeholder engagement through training events and policy workshops was reflected in D9.1.
Objective 5: Ensure sustainability and transferability through training, open-source tools, and stakeholder capacity-building.
Four summer schools were organized and delivered (D8.1) engaging diverse participants. The final exploitation strategy (D9.2) included open-source release plans and sustainability models.
WP 2: NTUA prepared the Second Periodic Progress Report (D2.5) summarizing work package integration, risk mitigation efforts, secondments, and financial management. Regular coordination meetings and workshops ensured consistency across technical, ethical, and dissemination streams.
WP 3:NKUA led the production of high-resolution surface parameter maps (D3.1) supported by the Finnish Meteorological Institute (FMI), who contributed a large-eddy simulation–based downscaling approach for wind-related hazards (D3.2). NKUA also implemented a 3DVar data assimilation methodology (D3.3) to integrate meteorological observations with reanalysis data, resulting in enhanced site-specific climate projections for CH areas. These models directly fed into the risk simulations and exposure analyses across the pilot sites.
WP 4: Advanced the Socio-Geotechnical (SG) Simulator (D4.2) a core innovation of the project that combines hazard data, building typology, structural fragility, and social vulnerability factors. Through an interactive interface supported by serious games, stakeholders can assess cascading effects of hazards in historic environments, with a case study demonstrated in Epidaurus.
WP 5: Resilience Guard (RG) and Geomatics Cyprus (GMCY) developed and operationalised a UAV-based methodology for multi-modal CH monitoring (D5.1). RG further led the dynamic risk modeling framework (D5.2) which introduced the use of real-time UAV imagery and finite element modeling to update fragility curves dynamically. This approach allows CH stakeholders to reassess structural risk based on post-event inspections or routine maintenance updates.
WP 6: Led by the Environmental Research and Restoration Authority (ERRA), delivered both the CHRAP middleware (D6.2) and the final visualization dashboard (D6.3). The platform integrates climate models, sensor feeds, and risk simulations into a secure, modular, and stakeholder-oriented system. The backend leverages Django and Airflow for process automation, while the frontend (developed using CesiumJS and React) supports interactive 3D mapping, temporal overlays, and decision simulations.
WP 7: Coordinated by NTUA, the consortium completed a comprehensive campaign of high-resolution data acquisition across selected cultural heritage sites, including Corfu Castle, Aitoliko, and Mytilene. This effort was documented in Deliverable D7.2 and involved the use of advanced drone platforms (DJI Air 2S, Mavic 2 Pro, and the incoming Matrice 350 RTK) alongside mobile ground-level imaging tools. The combined aerial and terrestrial data were georeferenced, processed into orthophotos and 3D models, and integrated into the CHRAP platform to support multi-scale risk assessments. Sites were chosen for their architectural complexity and exposure to multiple natural hazards, and the acquired datasets serve as foundational inputs for structural integrity evaluation, computer vision training, and stakeholder planning.
WP 8: NTUA and other partners successfully delivered four YADES summer schools (D8.1) in Athens, Milan, and Messinia. These events brought together PhD students, professionals, and CH authorities for interdisciplinary training in climate modeling, structural simulation, participatory planning, and serious games.
WP 9: Culminated in two deliverables. D9.1 reviewed dissemination efforts, stakeholder events, and outreach strategies, while D9.2 mapped the future exploitation of YADES results, including open-source release of CHRAP, policy recommendations, and integration with other EU CH initiatives.
WP 3:NKUA led the production of high-resolution surface parameter maps (D3.1) supported by the Finnish Meteorological Institute (FMI), who contributed a large-eddy simulation–based downscaling approach for wind-related hazards (D3.2). NKUA also implemented a 3DVar data assimilation methodology (D3.3) to integrate meteorological observations with reanalysis data, resulting in enhanced site-specific climate projections for CH areas. These models directly fed into the risk simulations and exposure analyses across the pilot sites.
WP 4: Advanced the Socio-Geotechnical (SG) Simulator (D4.2) a core innovation of the project that combines hazard data, building typology, structural fragility, and social vulnerability factors. Through an interactive interface supported by serious games, stakeholders can assess cascading effects of hazards in historic environments, with a case study demonstrated in Epidaurus.
WP 5: Resilience Guard (RG) and Geomatics Cyprus (GMCY) developed and operationalised a UAV-based methodology for multi-modal CH monitoring (D5.1). RG further led the dynamic risk modeling framework (D5.2) which introduced the use of real-time UAV imagery and finite element modeling to update fragility curves dynamically. This approach allows CH stakeholders to reassess structural risk based on post-event inspections or routine maintenance updates.
WP 6: Led by the Environmental Research and Restoration Authority (ERRA), delivered both the CHRAP middleware (D6.2) and the final visualization dashboard (D6.3). The platform integrates climate models, sensor feeds, and risk simulations into a secure, modular, and stakeholder-oriented system. The backend leverages Django and Airflow for process automation, while the frontend (developed using CesiumJS and React) supports interactive 3D mapping, temporal overlays, and decision simulations.
WP 7: Coordinated by NTUA, the consortium completed a comprehensive campaign of high-resolution data acquisition across selected cultural heritage sites, including Corfu Castle, Aitoliko, and Mytilene. This effort was documented in Deliverable D7.2 and involved the use of advanced drone platforms (DJI Air 2S, Mavic 2 Pro, and the incoming Matrice 350 RTK) alongside mobile ground-level imaging tools. The combined aerial and terrestrial data were georeferenced, processed into orthophotos and 3D models, and integrated into the CHRAP platform to support multi-scale risk assessments. Sites were chosen for their architectural complexity and exposure to multiple natural hazards, and the acquired datasets serve as foundational inputs for structural integrity evaluation, computer vision training, and stakeholder planning.
WP 8: NTUA and other partners successfully delivered four YADES summer schools (D8.1) in Athens, Milan, and Messinia. These events brought together PhD students, professionals, and CH authorities for interdisciplinary training in climate modeling, structural simulation, participatory planning, and serious games.
WP 9: Culminated in two deliverables. D9.1 reviewed dissemination efforts, stakeholder events, and outreach strategies, while D9.2 mapped the future exploitation of YADES results, including open-source release of CHRAP, policy recommendations, and integration with other EU CH initiatives.