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      Software for Storage and Management of Microclimatic Data for Preventive Conservation of Cultural Heritage

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          Abstract

          Cultural Heritage preventive conservation requires the monitoring of the parameters involved in the process of deterioration of artworks. Thus, both long-term monitoring of the environmental parameters as well as further analysis of the recorded data are necessary. The long-term monitoring at frequencies higher than 1 data point/day generates large volumes of data that are difficult to store, manage and analyze. This paper presents software which uses a free open source database engine that allows managing and interacting with huge amounts of data from environmental monitoring of cultural heritage sites. It is of simple operation and offers multiple capabilities, such as detection of anomalous data, inquiries, graph plotting and mean trajectories. It is also possible to export the data to a spreadsheet for analyses with more advanced statistical methods (principal component analysis, ANOVA, linear regression, etc.). This paper also deals with a practical application developed for the Renaissance frescoes of the Cathedral of Valencia. The results suggest infiltration of rainwater in the vault and weekly relative humidity changes related with the religious service schedules.

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          Sample size determination: a review

          C. Adcock (1997)
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            Long-Term Monitoring of Fresco Paintings in the Cathedral of Valencia (Spain) Through Humidity and Temperature Sensors in Various Locations for Preventive Conservation

            We describe the performance of a microclimate monitoring system that was implemented for the preventive conservation of the Renaissance frescoes in the apse vault of the Cathedral of Valencia, that were restored in 2006. This system comprises 29 relative humidity (RH) and temperature sensors: 10 of them inserted into the plaster layer supporting the fresco paintings, 10 sensors in the walls close to the frescoes and nine sensors measuring the indoor microclimate at different points of the vault. Principal component analysis was applied to RH data recorded in 2007. The analysis was repeated with data collected in 2008 and 2010. The resulting loading plots revealed that the similarities and dissimilarities among sensors were approximately maintained along the three years. A physical interpretation was provided for the first and second principal components. Interestingly, sensors recording the highest RH values correspond to zones where humidity problems are causing formation of efflorescence. Recorded data of RH and temperature are discussed according to Italian Standard UNI 10829 (1999).
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              Microclimate monitoring of Ariadne’s house (Pompeii, Italy) for preventive conservation of fresco paintings

              Background Ariadne’s house, located at the city center of ancient Pompeii, is of great archaeological value due to the fresco paintings decorating several rooms. In order to assess the risks for long-term conservation affecting the valuable mural paintings, 26 temperature data-loggers and 26 relative humidity data-loggers were located in four rooms of the house for the monitoring of ambient conditions. Results Data recorded during 372 days were analyzed by means of graphical descriptive methods and analysis of variance (ANOVA). Results revealed an effect of the roof type and number of walls of the room. Excessive temperatures were observed during the summer in rooms covered with transparent roofs, and corrective actions were taken. Moreover, higher humidity values were recorded by sensors on the floor level. Conclusions The present work provides guidelines about the type, number, calibration and position of thermohygrometric sensors recommended for the microclimate monitoring of mural paintings in outdoor or semi-confined environments.
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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                Sensors (Basel, Switzerland)
                Molecular Diversity Preservation International (MDPI)
                1424-8220
                March 2013
                27 February 2013
                : 13
                : 3
                : 2700-2718
                Affiliations
                [1 ] Departamento de Física Aplicada, Universitat Politècnica de València, Av. de los Naranjos s/n. 46022 Valencia, Spain; E-Mails: afnavajas@ 123456fis.upv.es (A.F.N.); palomamerello@ 123456outlook.com (P.M.); pbeltran@ 123456fis.upv.es (P.B.)
                [2 ] Instituto Valenciano de Conservación y Restauración de Bienes Culturales (IVC+R), Complejo Socio-Educativo de Penyeta Roja s/n. 12080 Castellón, Spain
                [3 ] Centro de Tecnologías Físicas, Unidad Asociada ICMM-CSIC/UPV, Universitat Politècnica de València, Av. de los Naranjos s/n. 46022 Valencia, Spain
                Author notes
                [* ] Author to whom correspondence should be addressed; E-Mail: fjgarcid@ 123456upvnet.upv.es .
                Article
                sensors-13-02700
                10.3390/s130302700
                3658708
                23447005
                e7af0ef4-55b6-4c34-8775-ff3e02d50805
                © 2013 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/3.0/).

                History
                : 06 January 2013
                : 23 January 2013
                : 15 February 2013
                Categories
                Article

                Biomedical engineering
                cultural heritage,database management,mean trajectories,relative humidity and temperature sensors,software

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