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凌家滩遗址出土陶器的LIBS-PCA分析

Quick Classification of Pottery from Lingjiatan Site (3000BC) Based on Laser Induced Breakdown Spectroscopy and Principal Component Analysis

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【作者】 吴卫红; 姚政权; 王京; 张又尹; 朱剑;

【Author】 WU Wei-hong;YAO Zheng-quan;WANG Jing;ZHANG You-yin;ZHU Jian;Department of History, Anhui University;Anhui Provincial Cultural Relics Archaeological Research Institute;Institute of Culture Heritage and History of Science and Technology, University of Science and Technology Beijing;Key Laboratory of Vertebrate Evolution and Human Origins of the Chinese Academy of Sciences, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences;Department of Archaeology and Anthropology, University of Chinese Academy of Sciences;

【通讯作者】 朱剑;

【机构】 安徽大学历史系; 安徽省文物考古研究所; 北京科技大学科技史与文化遗产研究院; 中国科学院脊椎动物演化与人类起源重点实验室中国科学院古脊椎动物与古人类研究所; 中国科学院大学人文学院考古学与人类学系;

【摘要】 采用激光诱导击穿光谱(LIBS)技术结合主成分分析(PCA),对凌家滩遗址出土陶器进行快速检测和统计分类的研究。凌家滩遗址位于安徽马鞍山市含山县,是我国南方地区一处大型新石器时代晚期聚落,遗址出土大量精美玉器、石器和陶器等,年代处于中华文明起源关键节点上,是研究我国文明起源和发展问题的重要遗址,因此对其出土陶器的研究具有十分重要的文化历史意义。对凌家滩遗址出土具有不同类型羼和料的陶器样本,进行LIBS快速分析后,利用PCA对结果进行统计辨析。研究表明,不同羼和料的光谱敏感度有所不同,不同掺杂物质会产生光谱特征差异。另一方面,出于统计分析的考虑,有目的缩小了背景噪声等异常数据干扰,并进行了分类辨析,在元素谱线归属的基础上进行了特征谱线提取,实现了利用多元统计分析进行快速分类的目的。分析结果表明,与泥质陶相比,羼植物陶器和羼细砂类样品, LIBS光谱特征具有良好的辨识度,可以进行有效区分。其他类型羼和料根据实际情况不同,则需要配合其他手段进行综合判断。相关研究结果可对南方地区新石器时期陶器的快速鉴定和类型归属等工作,提供了科学支持和有益借鉴。

【Abstract】 For applying the Laser Induced Breakdown Spectroscopy technology to the ancient pottery(Lingjiatansite, 3000 BC, Anhui, China) research, the goal and aim is for quick identificationand classification of the different types of ancient ceramic wares. Lingjiatan Site, located in Hanshan County, Maanshan City, Anhui Province, China, is a large late Neolithic settlement in southern China. A large number of fine jade articles, stone ware and pottery have been unearthed from the site. It is an important site!for studying the origin of earlyChinese civilization. Therefore, the study of its pottery is of great cultural and historical significance. After LIBS analysis, using the principal component analysis to process the data and give the reference to the classification workof pottery. The results show that different temper in body of pottery will affect the characters of spectrum and the PCA could give the classification group based on those spectra discrepancies. In the other hand, due to the consideration of statistical analysis, the abnormal data interference such as background noise is purposefully reduced and classified, and the characteristic spectral lines are extracted based on the attribution of the element spectral lines, thus realizing the purpose of rapid classification by multivariate statistical analysis. The results show that compared with pure argillaceous pottery, the samples of temper of plant pottery and some fine sand temper have well discrimination in LIBS spectral characteristics and can be effectively distinguished. According to the actual situation, other types of processing and materials need to be judged comprehensively with other means. This work indicates that the LIBS and PCA will be suitable and useful tools for ancient ceramics research.

【基金】 国家社会科学基金重大项目(15ZDB054)资助
  • 【文献出处】 光谱学与光谱分析 ,Spectroscopy and Spectral Analysis , 编辑部邮箱 ,2020年02期
  • 【分类号】K876.3;O657.3
  • 【被引频次】9
  • 【下载频次】367
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