THE APPLICATION OF GRAIN-SIZE END MEMBER ALGORITHM TO PALEOENVIRONMENTAL RECONSTRUCTION ON INNER SHELF OF EAST CHINA SEA
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摘要:
为了了解不同粒度端元法在东海内陆架古环境重建中的差异性和适用性，本文利用6种粒度端元法(非负矩阵分解、特征向量旋转、分层贝叶斯算法、粒级-标准偏差、理论函数拟合以及粒级主成分因子分析)对东海内陆架北部DC1孔的沉积物进行了粒度端元分离，并对其结果进行了对比和评价，结合沉积学资料评估了不同粒度端元在东海内陆架古环境重建中的差异性和适用性。结果表明，上述6种方法均分离出2个具有沉积学意义的粒度端元(粗粒端元和细粒端元)。除粒级主成分因子分析外，其他5种方法的端元众值粒级大小和端元在钻孔中的含量变化具有很好的一致性，其粗粒端元指示了海侵砂沉积，细粒端元指示了河流细粉砂沉积；而粒级主成分因子分析得到的粗粒和细粒端元可能分别指示了风暴潮沉积和浪流搬运的再悬浮沉积。不同方法得到的粒度端元虽然在粒级分布、端元含量变化等方面有不同程度的差异，但上述6种端元法在东海内陆架古环境重建中都具有良好的适用性，其端元含量的变化均可有效指示末次盛冰期以来海平面波动引起的沉积环境的阶段性变化。
Abstract:In order to assess the difference and applicability of different end-member algorithms in paleoenvironmental reconstruction for the inner shelf of the East China Sea (ECS), six common methods, including nonnegative matrix factorization, eigenvector rotation, hierarchical Bayesian algorithm, grain-size class vs. standard deviation, fitting with theoretical function, and factor analysis, are used to extract the grain-size end members of sediments in core DC1 from the ECS inner shelf. Based on comparison and evaluation of different end members extracted from the above six approaches, their deviations and availabilities are discussed. Two sedimentologically meaningful end members (coarse-grained and fine-grained end members) are deduced by all the six methods. Particle size of mode for the end members from five of the six modeling, except that from factor analysis, are consistent with each other, and the content variations of those end members exhibit fairly uniform downcore pattern along the core DC1. The coarse-grained end members for the five modeling represent transgressive sand deposit, and the fine-grained end members represent fluvial fine-silty deposit. However, the coarse-grained end member from factor analysis indicates storm deposits, and the fine one indicates re-suspended deposits induced by current-wave. Although there are some differences in the particle size distribution and content variation in different end members, the six grain-size end-member approaches have good availabilities for the past environment reconstruction on the ECS inner shelf. The variations in end members are effective to indicate the phase change in hydrodynamic environment caused by the sea-level fluctuation since the last glacial maximum.
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图 4 DC1孔岩性(图例参照图 2)，6种粒度端元法的粗粒(EM3、EMM1、BEM2、80~95 μm敏感端元、E3与F3)、细粒(EM1、EMM2、BEM1、10~13 μm敏感端元、E1与F1)端元随钻孔深度的变化
Figure 4.
表 1 DC1钻孔的AMS14C测年结果
Table 1. Accelerator mass spectrometry(AMS)14C dating for core DC1
深度/m 14C年龄/aBP 日历年龄/(2 σ年龄范围) (aBP) 测试材料 8.81~8.86 1 000±30 584(526~641) 底栖有孔虫混合壳 11.15~11.20 2 050±20 1 618(1 544~1 691) 底栖有孔虫混合壳 13.50~13.56 2 640±30 2 326(2 246~2 439) 底栖有孔虫混合壳 18.90~18.96 7 130±30 7 602(7 544~7 668) 软体动物壳体 19.70~19.76 7 720±30 8 190(8 092~8 297) 软体动物壳体 21.92~21.96 10 250±100 11 992(11 602~12 416) 泥炭 
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表 2 6种粒度端元法的粗粒、细粒端元间的线性相关系数
Table 2. Correlation coefficients between coarse(fine)-grained end members of the six methods
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表 3 6种粒度端元法粗粒、细粒端元的相似系数
Table 3. Similarity coefficients of coarse(fine)-grained end members of the six methods
端元方法名称 粗粒端元相似系数α 细粒端元相似系数α 非负矩阵分解 0.07 0.13 特征向量旋转 0.10 0.01 分层贝叶斯 0.11 0.13 粒级-标准偏差 0.11 0.12 理论函数拟合 0.13 0.06 主成分因子分析 4.24 0.48
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