“瞳色”作为人类自身最小且最复杂的自然色彩单元，它既是生物遗传与光学结构共同作用的产物，也是文化审美 与身份认同的重要载体。本研究聚焦中国人群虹膜颜色的色域特征，在D65 标准光源下对300 名志愿者进行实证观测，确 认了国人瞳色整体属于深棕褐色系范围，采用双层透明菲林叠加比色法，并结合与之紧密关联的B-HLC 四维参数记录。方 法论得到中国传统“九宫”思维启示，以此为框架，创新性地设计出“瞳色九宫格比色尺”，即用纵横两向划分出色味的冷— 暖，明度的高—层级，形成瞳色“九方”色差辨析模型。该模型有效覆盖我国绝大部分人群，乃至东亚人群的瞳色特征。本 研究在西方瞳色分类系统研究基础上，有了进一步的深化。此外，还为“生物色”选题探索出一条研究的道路，丰富了色彩 学基础研究的方法。成果为民族形象美学、医美色彩应用及跨学科色彩教育基础理论研究与实用工具研发做出了有益的探索。

"Iris color" serves as the smallest and most complex natural color unit of the human body. It is not only the product of the combined effects of biological genetics and optical structures, but also a crucial carrier of cultural aesthetics and identity. Focusing on the color gamut characteristics of iris color within the Chinese population, this study conducted empirical observations of 300 volunteers under Standard Illuminant D65. The findings confirm that the iris color of the Chinese population predominantly falls within the dark brown spectrum. The study employs a dual-layer transparent film overlay colorimetry method, alongside closely associated B-HLC four-dimensional parameter recording. Drawing methodological inspiration from the traditional Chinese "Jiugong" (nine-square grid) philosophy, this research establishes a framework to innovatively design a "Nine- Square Grid Iris Colorimetric Scale." This scale utilizes vertical and horizontal axes to categorize the cool-warm temperature of the hue and the high-low levels of lightness, thereby constructing a "nine-quadrant" color difference analytical model for iris color. This model effectively encompasses the iris color characteristics of the vast majority of the Chinese population, and by extension, East Asian populations. This research further advances and deepens existing Western iris color classification systems. Additionally, it pioneers a new research pathway for the study of "biological color," enriching the methodologies of fundamental color science research. The outcomes offer a valuable exploration into national image aesthetics, color applications in medical aesthetics, interdisciplinary color education theory, and the development of practical tools.