Research on Multivariate Statistical Methods for the Identification of Ancient Ceramics from the Husi Kiln

DOI

10.2991/978-2-38476-541-6_69How to use a DOI?

Keywords

Husi Kiln; Ancient Ceramics; Multivariate Statistical Methods

Abstract

The identification of ancient porcelain has primarily relied on the manual “visual inspection” by researchers in the cultural heritage sector, lacking scientific and unified criteria. This approach is highly subjective, and the results are often unconvincing. The Husi Kiln, discovered in the 1970s, is a newly found kiln site. Its production periods, vessel shapes, and firing techniques overlap significantly with those of the Hutian Kiln and the Longquan Kiln. The discovery of the Husi Kiln site has made the identification of the kiln origins of existing porcelain products increasingly complex and difficult. Based on this, this study employs X-ray fluorescence spectroscopy, a modern nuclear analysis technique, to conduct scientific sampling and measurement of Qingbai glazed porcelain from the Song Dynasty produced by different kilns. The compositional makeup of the body and glaze of porcelains from different kilns was analyzed. Using multivariate statistical analysis methods, characteristic patterns in the compositional makeup of products from different kilns were identified. Furthermore, a “fingerprint” characteristic component analysis method for porcelain kiln identification was proposed. This provides a reliable basis for the scientific and effective identification of Husi Kiln porcelain, can help determine the provenance of Qingbai glazed porcelain found domestically and overseas, and assist in finding the home for Hubei’s treasures.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Zheng Xiong
AU  - Qiang Wan
AU  - Rongling Hu
PY  - 2026
DA  - 2026/02/26
TI  - Research on Multivariate Statistical Methods for the Identification of Ancient Ceramics from the Husi Kiln
BT  - Proceedings of the 2025 5th International Conference on Culture, Design and Social Development (CDSD 2025)
PB  - Atlantis Press
SP  - 629
EP  - 640
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-541-6_69
DO  - 10.2991/978-2-38476-541-6_69
ID  - Xiong2026
ER  -