Heritage Science最新文献

The value of three-dimensional virtual objects are proven in a great variety of applications; their flexibility allowing for a substantial amount of utilization purposes. In cultural heritage this has been used for many years already, and the amount of users continue to grow as acquisition methods and implementations are becoming more approachable. Nonetheless, there are still many apparent issues with making use of all the possible benefits of 3D data in the field, varying from lack of knowledge, infrastructure, or coherent workflows. This review aims to underline the current limitations in implementing 3D workflows for various cultural heritage purposes. 45 projects and institutions are reviewed, along with the most prominent guidelines for workflows and ways of implementing the 3D data on the web. We also cover how each project manage and make their data accessible to the public. Prominent and recurring issues with standardization, interoperability, and implementation is highlighted and scrutinized. The review is concluded with a discussion on the current utilization’s of 3D data for cultural heritage purposes, along with suggestions for future developments.

Water engineering facilities are a crucial component of the Beijing-Hangzhou Grand Canal during the Ming and Qing dynasties, and their distribution is closely related to the hydrological and topographical characteristics of the area. In this study, we reconstructed the canal network distribution map and water engineering facilities database of the Ming and Qing periods using ArcGIS (Geographical information systems software) 10.8 software. We employed Amos (Analyze of Moment Structures) 26.0 software to investigate the influence of various natural environmental factors on the selection of water engineering facility sites. The results revealed a significant correlation between the spatial distribution of water engineering facilities and the main channel slope and slope direction, which had a direct impact. The estimated coefficient for the main channel slope was -0.166, showing a negative correlation with the spatial distribution of water engineering facilities, while the estimated coefficient for the main channel slope direction was − 0.112, also indicating a negative correlation. Moreover, the estimated coefficient for the watershed area where water engineering facilities were located was -0.096, demonstrating a negative correlation. In contrast, the effects of tributary slope and slope direction on the spatial distribution of water engineering facilities were indirect, mediated by the watershed area where these facilities were situated. The effect size for tributary slope was -0.017, showing a negative correlation, while the effect size for tributary slope direction was 0.010, indicating a positive correlation with the spatial distribution of water engineering facilities.The study achieves the integration of the heritage of water engineering facilities along the canal from point to line, provides data support for the construction of the cultural heritage corridor of the canal, and facilitates the promotion of heritage protection and rational layout, which is of great significance to the understanding of the canal culture.

Efficient removal of mold stains becomes an important research topic for paper conservation. In this study, a cleaning scheme based on the combination of bioenzymes and biosurfactants was explored. Morphological and molecular biology identifications were first jointly applied to identify the dominant strains sampled from five ancient books that are stored in the same environment. Cellulolytic experiments were then conducted to evaluate the cellulose degradation ability of the strains according to the cellulolytic digestive index. Finally, paper Mockups for the ancient books were constructed to investigate the most effective combination of bioenzymes and biosurfactants in removing mold stains as well as its effect on the paper’s physical properties. The result concluded that the combination of 3% papain, 7% of sophorolipid or 7% of betaine, and distilled water, achieved optimal stain removal effect with over 50% cleaning rate at 35 °C, after 30 min of infiltration. The maximum color difference of the paper material after cleaning was around 0.60, pH was between 7.45 and 7.79, and no significant changes in tensile strength were observed. At the same time, Sophorolipid and Betaine both have superior deacidification, anti-acidification, anti-aging, and reinforcement capabilities, which can provide extra support to the fibrous structure in addition to cleaning the paper materials. The microbial contamination cleaning agent proposed in this study shows promising application prospects in conserving mold-contaminated paper artifacts.

Preserving cultural artifacts while minimizing the energy consumption and costs associated with environmental control is crucial. This often requires predicting artifacts degradation caused by temperature and humidity. Here, mechanical damage can be predicted by comparing stress and damage criteria. Although the constitutive coefficients and damage criteria of various materials have been extensively studied, the mechanical properties of white clay remain unknown. This material is a crucial component of various artifacts including some important cultural artifacts and national treasures of Japan. Thus, this study aims to identify the strength and elastic properties of simulated white clay mimicking the substrate of the wall paintings Hiten at Kondo, the main hall at Horyu-ji Temple. Following existing literature, we created the simulated white clay by combining clay, paper fiber, and rice glue. We fabricated 36 distinct specimen patterns by varying the equilibrium humidity and material mixing ratios. We measured the tensile strength using splitting tensile tests and, compressive strength, Young's modulus, and Poisson’s ratio using compressive tests. The tensile strength, compressive strength, Young’s modulus, and Poisson’s ratio ranged from 0.0785–1.17(MPa), 0.358–3.67(MPa), 0.0394–0.274 (GPa), and 0.10–0.44(-), respectively, with variations depending on the equilibrium humidity and ratio of material mixing. We also formulated the results as functions that depend on the equilibrium humidity and material mixing ratios. These findings can be used to predict stress and damage to targeted wall paintings and to inform the preservation and restoration of cultural artifacts containing white clay.

Graphical Abstract

The monitoring and protection of historic buildings require a highly professional team and material resources. Monitoring and protecting historical architectural features is an urgent issue. According to the theory of biological gene expression, genes are the fundamental units that control and express biological traits. Similarly, the “genes” of historical architecture are the basic units that control historic features. Identifying these historical architecture “genes” involves identifying the main factors that control the historic features. This process is important for monitoring and protecting the historic features. At present, qualitative subjectivity, difficult quantification, poor recognition accuracy, and low reasoning and recognition efficiency exist in the genetic identification of historic buildings. As an example, this article describes Chinese Baroque architecture in Harbin, China, and draws on the principles of biological gene recognition to reference methods of architectural gene recognition in cultural geography and architecture. Improved U-Net models, traditional U-Net models, FCN models, and EfficientNet models that incorporate channel attention mechanisms are used to identify historic building genes, obtaining the optimal intelligent recognition for historical architectural genes based on deep learning. This research shows that the accuracy of an improved U-Net model incorporating a channel attention mechanism is 69%, which is 4%, 7%, and 1% higher than those of the traditional U-Net, FCN, and EfficientNet, respectively. The F1 score of the improved U-Net model reaches 0.654, which is higher than the 0.619 of the traditional U-Net model, 0.645 of the EfficientNet model, and 0.501 of the FCN model. Therefore, the improved U-Net model is the optimal method for identifying historical architecture genes. This research can provide new tools and methods for identifying historical architectural genes.

Cement-based grouting material is widely used to reinforce the unsafe rock and control seepage of rock-carved relics although it is considered inappropriate in protection of ancient sites. As this approach is irreversible, a longer service life is desirable for the grouting material and methods to predict the service life are needed. Here we propose a universal formula based on the dissolved amount of calcium ion to predict the deterioration rate of cement-based grout caused by acid deposition in the laboratory. The experimental results showed that the dissolved amount of calcium ion had a linear relationship with lnT and the pH value, with better accuracy when the pH value was greater than 3.0. This work maybe could provide a facile and quantitative method to help us predict the service life of cement-based grouting material under acid rain attack outdoors.