A Comparison of Preservation Management Strategies for Paper Collections

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A Comparison of Preservation Management Strategies for Paper Collections Studies in Conservation ISSN: (Print) (Online) Journal homepage: https://www.tandfonline.com/loi/ysic20 A Comparison of Preservation Management Strategies for Paper Collections Cristina Duran-Casablancas , Matija Strlič , Gabriëlle Beentjes , Gerrit de Bruin , Jaap van der Burg & Josep Grau-Bové To cite this article: Cristina Duran-Casablancas , Matija Strlič , Gabriëlle Beentjes , Gerrit de Bruin , Jaap van der Burg & Josep Grau-Bové (2020): A Comparison of Preservation Management Strategies for Paper Collections, Studies in Conservation, DOI: 10.1080/00393630.2020.1790264 To link to this article: https://doi.org/10.1080/00393630.2020.1790264 © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group Published online: 14 Jul 2020. Submit your article to this journal Article views: 404 View related articles View Crossmark data Full Terms & Conditions of access and use can be found at https://www.tandfonline.com/action/journalInformation?journalCode=ysic20 STUDIES IN CONSERVATION https://doi.org/10.1080/00393630.2020.1790264 ORIGINAL RESEARCH OR TREATMENT PAPER A Comparison of Preservation Management Strategies for Paper Collections Cristina Duran-Casablancas1, Matija Strlič1, Gabriëlle Beentjes2, Gerrit de Bruin2, Jaap van der Burg3 and Josep Grau-Bové1 1Institute for Sustainable Heritage, University College London, London, UK; 2Nationaal Archief, The Hague, Netherlands; 3Helicon Conservation Support, Zoeterwoude, Netherlands ABSTRACT KEYWORDS This paper proposes the use of simulation modelling to explore the effect of conservation Preservation management; strategies on the preservation of paper collections. Agent-based simulation was chosen as the preventive conservation; simulation approach in order to capture the individual characteristics of the collections, their deacidification; simulation size, and the values of pH and degree of polymerisation (DP) for individual items. This modelling; agent-based ff modelling; archives and approach enabled the simulation of the chemical degradation of di erent types of collections library collections during their lifetime and under different preservation scenarios. We conducted a series of computational experiments on three types of collections, acidic, modern, and mixed, to explore the effect of slightly lowering the temperature and relative humidity in the repositories, the deacidification of part of the collection at different rates, and the delay in making the decision to start a deacidification treatment. The results indicated that a small change, lowering the storage conditions from 18°C to 16°C and from 50% to 40% RH, can protect up to 30% of the collection from reaching the critical DP of 300 within a time horizon of 500 years. On the other hand, to obtain similar results through deacidification, 45% of the mixed collection and 70% of the acidic collection should be deacidified within a period of 100 years. The experiments also indicated that better results are obtained when the priorities for deacidification are acidic records with a pH value below 5. This study shows that modelling the heterogeneity of the collections can support preservation management, particularly if the concern is not the preservation of a part of the collection but the collection as a whole. Introduction the lifetime expectancy of paper with a certain initial Acid-catalysed hydrolysis has been identified as the degree of polymerisation (DP) and pH value in most important degradation mechanism in paper different environmental conditions (Strlič et al. (Zou, Uesaka, and Gurnagul 1996; Zervos 2010). This 2015b). If data is available on the DP and pH of individ- is particularly the case for collections dating from the ual items, then the expected lifetime expectancy of the nineteenth century when lower quality wood fibres whole of the collection can be calculated for long-term and alum-rosin sizing were introduced into paper preservation planning. Whereas surface pH measure- manufacture, resulting in acidic pH values of paper. In ment does not require sophisticated equipment, the order to manage the useful lifetime of collections con- measurement of the DP is complex, and requires taining acidic paper, preservation strategies have been destructive sampling. However, in the last decade proposed, consisting of a single or combined appli- advances have been made with the development of cation of two preservation measures: lowering the a tool that derives DP values from the correlation storage temperature (T) and relative humidity (RH), between near infrared (NIR) spectra and analytical and the deacidification of (part of) the collection. data obtained on a reference collection (Strlič, Kolar, In order to support preservation planning, research and Lichtblau 2007), and commercial initiatives have has been conducted to quantify the effect of these become available that can be used during collection preservation options on the lifetime of collections. surveys (Duran-Casablancas et al. 2019). Regarding the study of the effect of changing the On the other hand, research has also shown that storage conditions, different models have been pro- deacidification can increase the lifetime of paper by a posed to simulate the degradation of paper based on factor of 3 (Balazic et al. 2007). Although these results the Arrhenius equation (Ligterink and Di Pietro 2018; show the effectiveness of deacidification, they do not Tétreault et al. 2019). One of the proposed models is necessarily provide information on how it could be the damage function for acidic catalysed degradation applied strategically, i.e. to optimise the preservation of cellulose along with isochrone charts which show outcome. Usually, a (small) part of the collection is CONTACT Cristina Duran-Casablancas [email protected] Institute for Sustainable Heritage, University College London, Central House, 14 Upper Woburn Place, London WC1H 0NN, UK © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 2 C. DURAN-CASABLANCAS ET AL. selected for deacidification, depending on the available across a population. In our case, if the population is budget. However, the benefits of such a strategy on the an archival or library collection, then agents are a whole of the collection and whether the same results single or a group of inventory numbers. Another impor- could be obtained by other strategies have not been tant element in ABS is the ‘environment’ which affects explored yet. the agent ’s behaviour. In the case of heritage collec- In view of this, the focus of this paper was to explore tions environment, it may refer to the storage con- the effect of preservation options, in particular deacid- ditions or other preservation measures. ification, when they are tested in realistic scenarios, By using ABS, we were able to conduct simulations taking into account the type and size of the collection. of what-if scenarios with a high level of detail, where First, we analysed the importance of the selection cri- each parameter regarding the selection of the agents teria for deacidification. Although paper with pH to be treated, the level of treatment, and the timespan below 7 is eligible for deacidification, institutions opt of the treatment could be adjusted at initialisation of to prioritise papers with a lower pH value, with 5.5 as the run or any given timestep during the run. the upper limit (Porck 2006; Shenton 2006). Similarly, some institutions would only select records for the deacidification treatment when paper is still strong Methodology and flexible enough, excluding brittle paper that will Modelling not benefit from the treatment as long as strengthen- ing is not part of the treatment (Grossenbacher The first step of the modelling process consisted of the 2006). After identifying the best selection criteria for creation of a population of agents. In this model, the deacidification, we explored how similar preservation population is the whole archive or library collection, outcomes can be achieved either by deacidifying or while agents are the inventory numbers (archival by improving the environmental conditions of records or books). A population can be created with storage. Lastly, we assessed the long-term effect of any desired number of agents. However, in order to delaying the decision of implementing a certain preser- make the simulation computationally efficient, but vation strategy. still close to the daily practice in institutions, we A model to examine these questions should meet created a population of 2000 agents. This implies that two requisites: firstly, the degradation processes as in the case of a population representing a collection well as the implementation of preservation options of 50,000 linear metres, an agent is equivalent to 25 should be simulated over time, and secondly, the metres of archival records, and that the minimal model should capture the individual characteristics of amount of metres to be selected for deacidification items of the collection. In order to capture the per year is 25 metres, or in the case of a collection of dynamic behaviour of the collections over time, we 15,000 linear metres, one agent is 7.5 metres. used mathematical modelling, specifically computer Then the individual characteristics of the agents
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