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粒度参数是海洋沉积物的基本特征,其计算方法的选择导致粒度参数的差异成为制约沉积物粒度数据同化的主要因素之一。基于传统图解法的基本原理,发展了分段低次线性插值方法用于图解法的粒度参数快速计算,使用该方法和矩法分别计算了南海172个表层沉积物粒级参数,并对2种不同方法计算的结果进行相关性验证。结果表明:2种方法得到的平均粒径、分选系数、偏态和峰态分别呈显著相关,且相关性依次降低。通过与前人的研究结果对比,发现2种方法计算的平均粒径和分选系数相关性较为稳定,基本不受沉积物类型的影响;而偏态和峰态值与沉积物物质组成密切相关,物质组成单一稳定,则相关性较高,反之表现为不相关。因此,在资料整合同化处理过程中应充分考虑2种参数计算结果的差异。
Particle size parameters are the basic characteristics of marine sediments. The choice of calculation method leads to the differences of particle size parameters as one of the main factors that restrict the assimilation of sediment particle size data. Based on the basic principle of traditional plotting method, the subdivision low-order linear interpolation method was developed for the rapid calculation of particle size parameters in the graphic method. The grain-size parameters of 172 surface sediments in the South China Sea were calculated using this method and the moment method. The results of different methods to verify the correlation. The results showed that the average particle size, sorting coefficient, skewness and kurtosis of the two methods were significantly correlated, and the correlation decreased in turn. Comparing with the previous studies, we found that the correlation between the average particle size and the sorting coefficient calculated by the two methods is relatively stable and basically not affected by the sediment types; while the skewness and kurtosis values are closely related to the sediment composition , The material composition of a single stable, the correlation is higher, whereas the performance is not relevant. Therefore, the data integration and assimilation process should take full account of the difference between the two kinds of parameter calculation results.