Characterisation of thermo-hygrometric conditions of an archaeological site affected by unlike boundary weather conditions

Merello, Paloma; Fernández-Navajas, Ángel; Curiel-Esparza, Jorge; Zarzo, Manuel; García-Diego, Fernando-Juan

doi:10.1016/j.buildenv.2014.03.009

Cited by 17 publications

(24 citation statements)

References 18 publications

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“…HtA and Tr appeared as the most relevant stages for the sensor discrimination. This result is consistent with a previous research [ 5 ], which reported a pronounced temperature gradient at the museum, particularly in summer, caused by the greenhouse effect of the skylight. The identification of the key stages of the time series for discriminating the sensors might help to select and enhance the criteria of adequate sampling intervals in automated systems for microclimate monitoring.…”

Section: Resultssupporting

confidence: 94%

“…To replace the beneficial effect of the water layer, a provisional canvas cover was installed directly over the skylight, in order to avoid the overheating of the archaeological site below, by preventing direct sunlight. A second thermo-hygrometric monitoring study was performed in 2011 to assess the effect of different corrective measures and changes implemented in the museum [ 5 ]. The microclimatic data of RH and T recorded in 2010 before laying the canvas cover was compared with air conditions in 2013, after its installation.…”

Section: Introductionmentioning

confidence: 99%

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Multivariate Time Series Analysis of Temperatures in the Archaeological Museum of L’Almoina (Valencia, Spain)

Ramírez

Zarzo

García-Diego

2021

Sensors

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An earlier study carried out in 2010 at the archaeological site of L’Almoina (Valencia, Spain) found marked daily fluctuations of temperature, especially in summer. Such pronounced gradient is due to the design of the museum, which includes a skylight as a ceiling, covering part of the remains in the museum. In this study, it was found that the thermal conditions are not homogeneous and vary at different points of the museum and along the year. According to the European Standard EN10829, it is necessary to define a plan for long-term monitoring, elaboration and study of the microclimatic data, in order to preserve the artifacts. With the aforementioned goal of extending the study and offering a tool to monitor the microclimate, a new statistical methodology is proposed. For this propose, during one year (October 2019–October 2020), a set of 27 data-loggers was installed, aimed at recording the temperature inside the museum. By applying principal component analysis and k-means, three different microclimates were established. In order to characterize the differences among the three zones, two statistical techniques were put forward. Firstly, Sparse Partial Least Squares Discriminant Analysis (sPLS-DA) was applied to a set of 671 variables extracted from the time series. The second approach consisted of using a random forest algorithm, based on the same functions and variables employed by the first methodology. Both approaches allowed the identification of the main variables that best explain the differences between zones. According to the results, it is possible to establish a representative subset of sensors recommended for the long-term monitoring of temperatures at the museum. The statistical approach proposed here is very effective for discriminant time series analysis and for explaining the differences in microclimate when a net of sensors is installed in historical buildings or museums.

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Section: Resultssupporting

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Multivariate Time Series Analysis of Temperatures in the Archaeological Museum of L’Almoina (Valencia, Spain)

Ramírez

Zarzo

García-Diego

2021

Sensors

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“…Actions within the framework of preventive conservation [40] imply the definition of an effective and systematic methodology to identify [38], evaluate and control the threats that affect all cultural assets [41][42][43][44][45][46]. The aim of these actions is to minimize these threats [47][48][49][50], thanks to the evaluation of their degree of impact on the effects of deterioration and the development of appropriate measures to avoid or, at least, slow down their negative effects [39,51].…”

Section: Introductionmentioning

confidence: 99%

Pathologic and Risk Analysis of the Lojuela Castle (Granada-Spain): Methodology and Preventive Conservation for Medieval Earthen Fortifications

et al. 2020

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This study presents a methodology generated for the preventive conservation of defensive earthen architecture, applied to the case of the Lojuela Castle (Lecrin Valley, Granada, Spain). In the application of the designed protocol, a multidisciplinary analysis of its patrimonial characteristics and multidimensional evaluation was developed, applying the technique of qualitative consultation to a group of experts—the Delphi method. This methodology allowed us to relate the hazard factors and the vulnerability of the asset for each group of risks that affect it. The support of the method in with geographic information systems (GIS) has favored the production of predictive cartography and risk analysis—including the territorial dimensions and spatial interactions of the asset with the physical environment. This has facilitated the obtention of micro-zoning maps of each of the risks examined. The risk mapping in micro-zoning and the knowledge of the structure’s vulnerability represents an important contribution to the future conservation and management of this heritage. They favor strategies that minimize the incidence of risks and allow the prioritization of the conservation actions with a minimum economic investment, creating an efficient maintenance program. This will facilitate the protection, conservation and valorization decisions by the administration and the competent bodies involved in the protection of these sites.

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“…In fact, in the case of monitoring cultural heritage, historical data (without underestimating real-time alarms, etc. ) is more interesting as it is important to characterise the site for performing comparative studies in the future, either regularly, in order to verify whether the conditions are constant, or occasionally, when the boundary conditions are altered [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

“…Most of them use individual data-loggers. Some authors [ 16 ] use Hobo data-loggers [ 17 ], and other studies [ 6 , 11 , 18 ] work with data-loggers DS1922L [ 19 ] and DS1923 [ 20 ]. Data from these data-loggers cannot be sent automatically to the cloud and due to they are commercial devices, its hardware and software is unknown and cannot be modified.…”

Section: Introductionmentioning

confidence: 99%

Design of a Hybrid (Wired/Wireless) Acquisition Data System for Monitoring of Cultural Heritage Physical Parameters in Smart Cities

García-Diego

Esteban

Merello

2015

Sensors

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Preventive conservation represents a working method and combination of techniques which helps in determining and controlling the deterioration process of cultural heritage in order to take the necessary actions before it occurs. It is acknowledged as important, both in terms of preserving and also reducing the cost of future conservation measures. Therefore, long-term monitoring of physical parameters influencing cultural heritage is necessary. In the context of Smart Cities, monitoring of cultural heritage is of interest in order to perform future comparative studies and load information into the cloud that will be useful for the conservation of other heritage sites. In this paper the development of an economical and appropriate acquisition data system combining wired and wireless communication, as well as third party hardware for increased versatility, is presented. The device allows monitoring a complex network of points with high sampling frequency, with wired sensors in a 1-wire bus and a wireless centralized system recording data for monitoring of physical parameters, as well as the future possibility of attaching an alarm system or sending data over the Internet. This has been possible with the development of three board’s designs and more than 5000 algorithm lines. System tests have shown an adequate system operation.

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Characterisation of thermo-hygrometric conditions of an archaeological site affected by unlike boundary weather conditions

Cited by 17 publications

References 18 publications

Multivariate Time Series Analysis of Temperatures in the Archaeological Museum of L’Almoina (Valencia, Spain)

Multivariate Time Series Analysis of Temperatures in the Archaeological Museum of L’Almoina (Valencia, Spain)

Pathologic and Risk Analysis of the Lojuela Castle (Granada-Spain): Methodology and Preventive Conservation for Medieval Earthen Fortifications

Design of a Hybrid (Wired/Wireless) Acquisition Data System for Monitoring of Cultural Heritage Physical Parameters in Smart Cities

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