Assessment of indoor climate of Mogia Abbey in Kraków (Poland) and the application of the analogues method to predict microclimate indoor conditions
The microclimatic monitoring of the historic church of Mogia Abbey (Kraków, Poland) was carried out to study the impact of the environmental parameters on the organic and hygroscopic artworks. Specific indexes were proposed to objectively assess the quality of time series of temperature (T), relativ...
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Veröffentlicht in: | Environmental science and pollution research international 2017-06, Vol.24 (16), p.13895 |
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Sprache: | eng |
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Zusammenfassung: | The microclimatic monitoring of the historic church of Mogia Abbey (Kraków, Poland) was carried out to study the impact of the environmental parameters on the organic and hygroscopic artworks. Specific indexes were proposed to objectively assess the quality of time series of temperature (T), relative humidity (RH), and carbon dioxide (CO2) before applying the exploratory data analysis. The series were used to define the historic environmental conditions as stated in the European Standard EN 15757:2010 and with the use of the climate evaluation chart (CEC). It was found that the percentage of time in which T and RH values are within the allowable limits of the ASHRAE ( 2011 ) Class B is more than 85 %. This means that, for about 15 % of the time, there is a high risk of mechanical damage to highly vulnerable objects mainly due to the RH variability. The environment at the chancel resulted moister than that at the cornice, and the fungal growth is possible. In addition, the time-weighted preservation index (TWPI) is computed to evaluate the life expectancy of the objects, taking into account the environmental conditions of the site under study. The method of analogues, developed to predict the evolution of a system given observations of the past and without the knowledge of any equation among variables, was proposed and applied to the time series of temperature, relative humidity, and carbon dioxide with a 1-h sampling time to avoid the influence of the autocorrelation. |
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ISSN: | 0944-1344 1614-7499 |
DOI: | 10.1007/s11356-016-6504-9 |