王兆夺, 于东生, 罗福生, 杨蕙. 图解法和矩法计算泉州湾表层沉积物粒度参数的对比[J]. 海洋地质前沿, 2016, 32(7): 19-27. DOI: 10.16028/j.1009-2722.2016.07003
    引用本文: 王兆夺, 于东生, 罗福生, 杨蕙. 图解法和矩法计算泉州湾表层沉积物粒度参数的对比[J]. 海洋地质前沿, 2016, 32(7): 19-27. DOI: 10.16028/j.1009-2722.2016.07003
    WANG Zhaoduo, YU Dongsheng, LUO Fusheng, YANG Hui. COMPARISON OF GRAIN SIZE PARAMETERS FROM GRAPHICAL AND MOMENT METHODS FOR SURFACE SEDIMENTS IN QUANZHOU BAY[J]. Marine Geology Frontiers, 2016, 32(7): 19-27. DOI: 10.16028/j.1009-2722.2016.07003
    Citation: WANG Zhaoduo, YU Dongsheng, LUO Fusheng, YANG Hui. COMPARISON OF GRAIN SIZE PARAMETERS FROM GRAPHICAL AND MOMENT METHODS FOR SURFACE SEDIMENTS IN QUANZHOU BAY[J]. Marine Geology Frontiers, 2016, 32(7): 19-27. DOI: 10.16028/j.1009-2722.2016.07003

    图解法和矩法计算泉州湾表层沉积物粒度参数的对比

    COMPARISON OF GRAIN SIZE PARAMETERS FROM GRAPHICAL AND MOMENT METHODS FOR SURFACE SEDIMENTS IN QUANZHOU BAY

    • 摘要: 通过在福建省泉州湾海域采集的70个表层沉积物样品,对粒度参数采用了图解法和矩法2种不同的计算方法,然后将得到的2组数据进行对比。结果表明,2种计算方法得到的2组粒度参数值具有不同的相关性。平均粒径具有高度相关性,可以互换;分选系数具有显著相关性,也在一定程度上可以互相代替;偏度和峰度分别具有微弱相关性,差异较大,不能互相代替。再根据不同参数的等值线图对比,可以看出矩法计算结果在显示沉积物粒度特征横向上的变化时更具有灵敏性。通过对2组粒度参数进行Q型聚类,其结果与沉积物粒度概率曲线分类相当吻合,矩法比图解法划分得更详细。分析结果显示,矩法在计算泉州湾表层沉积物粒度参数上具有更好的效果,并且矩法含有更多的数据信息,建议在数据处理时采用。

       

      Abstract: Two methods, the moment and the graphic statistics methods, are used for calculation of grain size parameters for the 70 surface sediment samples taking from the Quanzhou Bay, Fujian Province. Comparison of the two sets of grain size parameters shows that the grain size parameters of the mean grain size, the sorting coefficient, skewness and kurtosis, are quite different derived from the two methods. The mean grain sizes from two methods are highly correlated, and interchangeable. The sorting coefficient has the similar result. But for the skewness and kurtosis, both of them have very weak correlation, so the values from two methods are not interchangeable. Then, comparing the contour maps of the two kinds of parameters, it is found that the results of the moment method are more sensitive in showing the horizontal change of grain size characteristics of sediments. By doing the Q type cluster analysis of the two groups of the grain size parameters, the results are well coincident with the sediment grain size probability classification, but the results of moment method looks more detailed in description of grain size variations. It is recommended using the moment method for data processing.

       

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