摘要
对埕岛海域CBG4a孔岩芯进行粒度分析 ,划分出海滩、三角洲支流河口滨线、海滩附近沙丘、黄河三角洲河口沙坝、黄河三角洲水下三角洲前缘隆起、水下天然堤、河流等7种沉积环境。对样品进行Q型聚类分析 ,识别出分辨力及代表性更强的一组分类统计量 :各粒组百分含量及相关的粒度参数 (C,Md,Mφ,δ1,Sk,Kg,Q1,Q3)。Mφ δ1,Kg Sk 等结构参数散点图与沉积环境有很好的相关性 ,河流、海滩、沙丘等沉积物有较明确的界线。粒度象图反映了沉积物分布总体特征 ,其中水下天然堤、三角洲支流河口滨线沉积、海滩及其附近沙丘沉积等亚相易于在F M图中区分 ,而黄河水下三角洲前缘隆起沉积、黄河三角洲河口沙坝沉积、河流沉积等在L M图和A
Grain size analysis is done on the sediment of drilling core CBG4a in the marine area of Chengdao, and the authors divide seven sedimentary environments as follows: beach, sand dune near the beach, shoreline of tributary stream outtet of delta, barrier of estuary of the Yellow River Delta,subaqueous prodelta rise of the Yellow River Delta, subaqueous natural leveeand river. We select four different classification variables to do Q-mode cluster analysis, and find that the resolving power and representative property are stronger when the variables are the percentage content of every particle size group and relevant grain size parameters such as Y%,T%,FS%,MS%,CS%,C,Md,Mφ,δ1,Sk,Kg. The grain size parameters are well interrelated with sedimentary environment, for example, the scatter plots of Mφ-δ1 and Kg-Sk are effective. The grain size distribution plots(such as C-M,F-M,L-M,A-M) reflect the total characteristics of sediment,we can distinguish some sedimentary environments including subaqueous natural levee , shoreline of tributary stream outtet of delta beach and sand dune near the beach in the plot of F-M, while other sedimentary environments including barrier of estuary of the Yellow River Delta , subaqueous prodelta rise of the Yellow River Delta and river are easily distinguished in the plots of L-M and A-M.
出处
《海洋科学》
CAS
CSCD
北大核心
2002年第2期45-49,共5页
Marine Sciences
基金
国家自然科学重点基金项目49736210号
关键词
埕岛海域
粒度分析
聚类分析
粒度参数
粒度象
勃海
钻孔岩芯
Marine area of Chengdao, Grain size analysis, Cluster analysis, Grain size parameter, Grain size distributions
