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为了能客观反映东海沉积物的粒度模式和沉积环境间关系,本文在东海调查已取得的1233个站他的表层粒度分析数据中,选用了其中220个样品进行了大数据Q型因子分析的尝试,以此为基础又进一步选择了具有较为代表性的97个站位补充作了表层样品的粒度概率曲线成因分析,作者试图从沉积物的成因类型划分着手,以因子分析和群分析数理统计方法为手段,结合沉积物的组分特点、形成历史,对东海特别是陆架区沉积物的成因环境作一初步分析。
In order to objectively reflect the relationship between sediment grain size and sedimentary environment in the East China Sea, 220 samples were selected for Q-factor analysis of big data from 1233 stations in the East China Sea. Based on this, we further selected the representative 97 stations to make the particle size probability curve analysis of the surface samples. The author attempts to start from the classification of sedimentary genesis types, using factor analysis and group analysis mathematical statistics As a means, combined with the composition of sediment characteristics, the formation of history, the East China Sea, especially the continental shelf sediment depositional environment made a preliminary analysis.