HEОбмен на изследователи2023–2026

ERA4CH · Earthquake Risk plAtform For european cities Cultural Heritage protection

„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“

Период
2023-01-01 → 2026-12-31
Финансиране от ЕС
791 200 €
Участници
10
Схема
HORIZON-TMA-MSCA-SE

Линиите свързват координатора с партньорите.

Накратко на български

Рискът от земетресения в историческите центрове на градове като Ханя и Нарни се анализира чрез изкуствен интелект и модели за стабилност. Това помага за по-доброто управление на опасността и планирането на предпазни мерки за опазване на културното наследство.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Earthquake Risk plAtform For european cities Cultural Heritage protection

Seismic movements significantly impact the structural stability of Cultural Heritage, often characterized by outdated construction methods and materials, despite high population density. Risk information is essential to reduce vulnerability, minimize economic losses, and assist disaster managers and cultural heritage professionals in designing effective mitigation measures to lower restoration costs and casualties. The ERA4CH project develops tools that integrate Artificial Intelligence with structural stability models, advanced remote sensing, image processing, geotechnics, and cadastral data in a GIS application for assessing damage and monitoring historic centers. This innovative methodology facilitates effective monitoring and management of historic centers to mitigate the effects of catastrophic events, allowing for preventive interventions in areas likely to experience the most damage. Three representative test cases are: Narni (Italy), a UNESCO candidate site; the historical center of Chania (Greece); and Strovolos (Nicosia, Cyprus). Objective #1: Development and Integration of Methodologies AI will enhance the application of structural stability models for entire historical centers. A library of simplified structural stability models will be used to derive fragility curves and resilience parameters. These models will account for local soil conditions affecting seismic responses. An AI software will analyze building façades using image processing and machine learning to automate the classification of resilience-related civil engineering parameters, feeding this data into the stability models. Data can be gathered through crowdsourcing with citizen-captured images and resources like Google Street View or UAV surveys. Copernicus services and ground sensors will be utilized for dynamic monitoring of soil instabilities and building movements, focusing on InSAR mapping and Lidar scanning. Objective #2: Platform Development and Deployment The aim is to create the ERA4CH Platform (GIS-based) that integrates AI image processing, remote sensing methods, ground data, and risk models for earthquake risk forecasting in cultural heritage sites. The platform will combine traditional Earth Observation methods with innovative risk modeling and AI tools to create a pre-operational service. It will extend structural stability models to all buildings in the study area, producing earthquake risk maps. This multi-task platform will merge EO and in-situ data, including terrestrial and aerial RS data and crowdsourced information, featuring a shared repository and a GIS interface. Objective #3: Demonstration and Validation of the Methodology The objective is to demonstrate and validate the ERA4CH Platform at three case studies: Narni, Chania, and Strovolos. These locations are strategically selected due to their exposure to seismic risk in Southern and Central Europe. Validation will occur in areas with relevant data from past earthquakes. ERA4CH combines expertise from research centers and SMEs across disciplines, including civil and geotechnical engineering, IT, remote sensing, and EO applications, fostering knowledge exchange and the development of novel techniques and tools for cultural heritage.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

The seismic movements of the ground have a strong impact on the structural stability of the Cultural Heritage very often characterized by old construction methods and materials but still with a consistent density of population. To have an idea of the dimension of the phenomena, the damage on the CH asset declared by the Italian Ministry of CH, caused by the recent earthquakes in Centre Italy, has been assessed in 2 Billion Euro plus the death toll caused by the collapse of several buildings. Authorities responsible for the preservation of CH to the future generations are well aware of the huge costs required by rehabilitation intervention compared to preventive ones. Risk information becomes fundamental to reduce the vulnerability of heritage and to minimise the economic losses, helping disaster managers and cultural heritage professionals to design mitigation measures, set priorities and invest in resilient cultural heritage to mitigate the restoration costs and the death toll.The project ERA4CH addresses the development of a series of tool, combining Artificial Intelligence with structural stability models, advanced remote sensing techniques, image processing, geotechnics and cadastral data sets in a GIS application for damage assessment and long-term monitoring of historic centres. This innovative methodology and tools will enable effective monitoring and management of the historic centres to mitigate the effects of the catastrophic events by enabling preventive intervention in the areas where the majority of the damage is expected. Three representative test cases are proposed: the historic city of Narni (Italy), candidate to the UNESCO site list, the historical centre of Chania (Crete, Greece) and Strovolos (Nicosia, Cyprus).

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз