Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Climate Change Impact on Cultural Heritage: A Methodological Framework for Driven Reasoning in Risk Assessment

Version 1 : Received: 30 January 2024 / Approved: 31 January 2024 / Online: 31 January 2024 (11:29:12 CET)

How to cite: Battisti, A.; Figliola, A.; Santarelli, M.L. Climate Change Impact on Cultural Heritage: A Methodological Framework for Driven Reasoning in Risk Assessment. Preprints 2024, 2024012180. https://doi.org/10.20944/preprints202401.2180.v1 Battisti, A.; Figliola, A.; Santarelli, M.L. Climate Change Impact on Cultural Heritage: A Methodological Framework for Driven Reasoning in Risk Assessment. Preprints 2024, 2024012180. https://doi.org/10.20944/preprints202401.2180.v1

Abstract

The variety of risks due to climate change with a potential impact on Cultural Heritage CH requires a multidisciplinary approach and a preliminary overview of the existing methods for risk analysis and assessment in different fields. Thus, the starting point of the research conducted by the Sapienza PNRR working group consists in a systematic literature review of risk assessment approaches, methods and indicators. As a first outcome, the research has designed a multidisciplinary comprehensive framework consisting of the definition of risk categorization, the framework represented by a measurable index and the main target, according to the classification of Cultural Heritage based on the harmonization of European vocabularies definitions and protocols. The risk assessment framework sets the methodological core of a future multi criteria matrix and digital platform for decision focused on the historic built environment and it is functional to the definition of specific operational guidelines connected to each risk for elaborating descriptive/predictive Architectural Heritage’s transformation scenarios to support the development of mitigation and adaptation strategies.

Keywords

cultural heritage; historic built environment; risk analysis; data-driven processes; multi-risk assessment

Subject

Arts and Humanities, Architecture

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