Preventive conservation of monuments based on DELPHI method and fuzzy logic
Preventive conservation requires identification, evaluation, and prioritization of the maintenance and restoration of cultural heritage under different hazards. The degradation of monuments is due to the effects caused by different agents (earthquakes, floods, weathering, pollution agents, anthropog...
| Autores: | , , , , , , , , , , , , , , , , , |
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| Tipo de recurso: | capítulo de libro |
| Estado: | Versión publicada |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/99052 |
| Acceso en línea: | https://hdl.handle.net/11441/99052 |
| Access Level: | acceso abierto |
| Palabra clave: | Hazard Vulnerability Preventive conservation Artificial intelligence GIS Heritage building |
| Sumario: | Preventive conservation requires identification, evaluation, and prioritization of the maintenance and restoration of cultural heritage under different hazards. The degradation of monuments is due to the effects caused by different agents (earthquakes, floods, weathering, pollution agents, anthropogenic fac-tors) that produce total or partial losses of architectonic elements or their altera-tions. The conservation degree of each monument depends on the vulnera bility, and its index is an indirect function of the level of deterioration, whereas the hazards depend on the localization and its environment conditions, social de-velopment and anthropogenic agents. RIVUPH and Art-Risk are Spanish pro-jects based on the analysis of environmental risk in historical cities and models to assess vulnerability and lives of buildings in order to improve the preventive conservation of monuments with similar characteristics. For this purpose, two different approaches have been evaluated: DELPHI method and Fuzzy Logic, where both tools are based on the opinion of experts in the field. The vulnerability analysis of three churches of Seville (Spain) have been studied to assess the monuments’ conservation degree. Both models (DELPHI and Fuzzy Logic) are able to forecast the necessities of restoration overlapping different scenarios |
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