Composition Analysis of Glass Based on Weighted Mean and Correlation Analysis
DOI:
https://doi.org/10.54097/hset.v42i.7064Keywords:
Ancient glass, weathering, weighted average, correlation analysis.Abstract
Due to weathering and other external influences, the surface and chemical composition of ancient cultural relics will be corroded to a certain extent. This paper analyzes the chemical composition of two main kinds of ancient glass, high potassium glass and lead barium glass, classifies the cultural relic samples according to the type and weathering degree, and studies the chemical composition content rule of weathered samples respectively through descriptive statistics. The weighted average was used to predict the chemical constituents before weathering, and the correlation analysis of the main constituents was carried out. The composition analysis of ancient cultural relics in this paper lays a foundation for further effective measures to protect and restore cultural relics.
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References
GAN Fuxi, LIN Fengsheng. The Silk Road and Ancient Chinese Glasses [J]. Chinese Journal of Nature, 2006(5): 253-260.
HUANG Daixin, YANG Qing’en. Application of chi-square test and exact test in Hardy-Weinberg equilibrium testing [J]. Journal of Forensic Medicine, 2004(2):116-119.
LI Zhihui, LU Tao, YANG Zhonglin, HUANG Yuan, TAO Yuxi, YAN Fangrong. The Effective Components Analysis in Traditional Chinese Medicine Based on Copula [J]. Chinese Journal of Health Statistics,2013(5): 650-653.
FU Xiufeng, GAN Fuxi. Chemical composition analysis of some ancient glasses unearthed from southern and southwestern China [J]. Sciences of Conservation and Archaeology,2006(04): 6-13.
GUO Gangjun;HU Xiaojing;FU Jiarong;MA Shangxuan;XU Rong;HUANG Kechang;PENG Zhidong;HE Xiyong;ZOU Jianyun. Determination and Correlation Analysis of Functional Components and Antioxidant Activity of Successive Solvent Extracts from Macadamia Green Husk [J]. Food Science, 2021(7): 74-82.
Zhang Xuelong;Wu Doudou. An Optimal Design Model of Multi-stage Supply Chain Network with Interval Grey Features [J]. Statistics & Decision, 2020(1): 167-171.
GONG Yan-bing;XIANG Lin;LIU Gao-feng. Study on Flood Disaster Loss Prediction Based on Gaussian Process Regression Model:A Case Study of Chongqing City [J]. Resources and Environment in the Yangtze Basin, 2019(6): 1502-1510.
LIU Yuan;LI Min;CHEN Xiao-peng;YE Hui;BAI Gang-gang;CHOU Ya-jing;YAO Xin;JIANG Wei. The correlation study between 18 inorganic elements in Maodongqing based on heat map and cluster analysis [J]. Natural Product Research and Development, 2020(7): 1111-1117.
ZHOU Lin; ZHANG Xu-hong; ZHOU Cheng. Research on Evaluation and Spatial Difference of Innovation Ability of RuralTourism in China:Based on Weighted Improved Grey Correlation Method [J]. Journal of Natural Science of Hunan Normal University, 2022(3):12-21.
CUI Jiangfeng; WU Xiaohong; TAN Yuanhui; WANG Yongbiao. CHEMICAL ANALYSIS OF ANCIENT GLASS WARES UNEARTHED FROM CHU CEMETERIES OF THE WARRING STATE PERIOD IN THE DRAINAGE AREA OF THE YUANSHUI RIVER, HUNAN PROVINCE [J]. Journal of the Chinese Ceramic Society, 2009(11): 1909-1913,1918.
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