DIFFERENCE IN GRAIN-SIZE PARAMETERS OF TIDAL DEPOSITS DERIVED FORM THE GRAPHIC AND ITS POTENTIAL CAUSES

CAI Guofu; FAN Daidu; SHANG Shuai; WU Yijing; SHAO Lei

doi:10.3724/SP.J.1140.2014.01195

Marine Geology & Quaternary Geology > 2014 > 34(1): 195-204. > DOI: 10.3724/SP.J.1140.2014.01195

CAI Guofu, FAN Daidu, SHANG Shuai, WU Yijing, SHAO Lei. DIFFERENCE IN GRAIN-SIZE PARAMETERS OF TIDAL DEPOSITS DERIVED FORM THE GRAPHIC AND ITS POTENTIAL CAUSES[J]. Marine Geology & Quaternary Geology, 2014, 34(1): 195-204. DOI: 10.3724/SP.J.1140.2014.01195

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DIFFERENCE IN GRAIN-SIZE PARAMETERS OF TIDAL DEPOSITS DERIVED FORM THE GRAPHIC AND ITS POTENTIAL CAUSES

State Key Laboratory of Marine Geology, Tongji University, Shanghai 200092, China

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Received Date: November 18, 2012
Revised Date: December 30, 2012

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Abstract

Abstract

Grain-size parameters of 395 samples from separately sandy or muddy layers of the intertidal-flat deposits in the Qiangtang Estuary were calculated using Fork-Ward graphic method (GM), and moment methods of Friedman-Johnson (MM_Fr) and McManus (MM_Mc), respectively. Comparative studies indicate that the parametric relationships are quite complex among the different methods especially for the higher order moments, only with an exception of mean size, in that GM mean size almost equates to that of MM. Physical meaning of MM_Mc skewness and kurtosis has never been well expressed due to its non-traditional statistical methodology, so unique application of MM_Fr formula is strongly recommended to calculate moment parameters for environmental interpretations and comparison. The parametric difference is notable between sandy and muddy layers, which are composed of separate coarser and finer dynamic populations in response to their different depositional processes on the basis of the numerical partitioning analyses (inverse modeling). It is therefore extrapolated that the sampling unit for grain size analyses should be strictly deposited under similar hydrodynamic conditions. A numerical modeling of the mixtures of two log-normal populations (forward modeling) was successfully applied to simulate the complex relationships of GM and MM parameters in terms of skewness and kurtosis, which are majorly controlled by the difference of percentiles and modes between the major and secondary populations. As the finer (secondary) population percentiles decrease, the value of MM skewness and kurtosis increases sensitively to the detail change in grain-size distribution pattern; while the value of graphic skewness and kurtosis increases before reaching their maxima and decreases after those critical points, mainly resulting from finite statistics of graphic method on a few eigenvalues and neglecting the tail (<5%) components.The critical value for graphic skewness to change from increasing into decreasing trend is 35% for the secondary population percentiles, hypothetically related with an additional expression in the grahic skewness formula to stress the percentiles (16 and 84) on the grain-size distribution, which are not included in the graphic kurtosis formula. The both methods have their own advantage and disadvantage, but the moment method has a priority in establishing a uniform standard in the future, typically for physical interpretation of grain-size parameters, considering that it can elaborately and consistently reflect changes in secondary population tail features in comparison with the failure of the graphic method.
- grain size parameters,
- graphic method,
- moment method,
- log-normal distribution function,
- sub-population analysis (inverse modeling)

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References (31)

References

[1]	Hartmann D, Flemming B. From particle size to sediment dynamics:an introduction[J]. Sedimentary Geology, 2007, 202:333-336.
[2]	Folk R L, Ward W C. Brazos River bar:a study in the significance of grain size parameters[J]. Journal of Sedimentary Petrology, 1957, 27:3-26.
[3]	Friedman G M, Johnson K G. Exercises in Sedimentology[M]. New York:John Wiley Sons, 1982:68-83.
[4]	McManus J. Grain size determination and interpretation[M]//. In:Tucker Med. Techniques in Sedimentology. Oxford:Wiley Blackwell, 1988:63-85.
[5]	Blott S J, Pye K. GRADISTAT:A grain size distribution and statistics package for the analysis of unconsolidated sediments[J]. Earth Surface Processes and Landforms, 2001, 26:1237-1248.
[6]	贾建军, 高抒, 薛允传. 图解法与矩法沉积物粒度参数的对比[J]. 海洋与湖沼,2002, 33(6):577-582. [JIA Jianjun, GAO Shu, XUE Yunchuan. Grain-size parameters derived from graphic and moment methods:A comparative study[J]. Oceanologia Et Limnologia Sinica, 2002, 33(6):577-582.]
[7]	徐兴永, 易亮, 于洪军, 等. 图解法和矩值法估计海岸带沉积物粒度参数的差异[J]. 海洋学报, 2010, 32(2):80-86. [XU Xingyong, YI Liang, YU Hongjun, et al. The differences of grain-size parameters estimated with graphic and moment methods in coastal sediments[J]. Acta Oceanologic Sinica, 2010, 32(2):80-86.]
[8]	王德杰, 范代读, 李从先. 不同预处理对沉积物粒度分析结果的影响[J]. 同济大学学报, 2003, 31(3):314-318. [WANG Dejie, FAN Daidu, LI Congxian. Influence of different pretreatments on size analysis and its implication[J]. Journal of Tongji University, 2003, 31(3):314-318.]
[9]	高抒. 沉积物粒径趋势分析:原理与应用条件[J]. 沉积学报, 2009, 27:826-836.[GAO Shu. Grain size trend analysis:principle and applicability[J]. Acta Sedimentologica Sinica, 2009 , 27:826-836.]
[10]	Passega R. Grain size representation by CM patterns as a geological tool[J]. Journal of Sedimentary Petrology, 1964, 3:830-847.
[11]	范代读, 蔡国富, 尚帅, 等.钱塘江河口北边滩涌潮沉积作用与特征[J]. 科学通报, 2012, 57(13):1157-1167. [FAN Daidu, CAI Guofu, SHANG Shui, et al. Sedimentation processes and sedimentary characteristics of tidal bores along the north bank of the Qiantang Estuary[J]. Chinese Science Bulletin, 2012, 57(13):1578-1589.]
[12]	Shih S M, Komar P D. Sediments, beach morphology and sea cliff erosion within an Oregon coast littoral cell[J]. Journal of Coastal Research, 1994, 10:144-157.
[13]	Sun D H, Bloemendal J, Rea D K, et al. Grain-size distribution function of polymodal sediments in hydraulic and aeolian environments, and numerical partitioning of the sedimentary components[J]. Sedimentology, 2002, 152:263-277.
[14]	Weltje G J, Prins M A. Muddled or mixed? Inferring palaeoclimate from size distributions of deep-sea clastics[J]. Sedimentary Geology, 2003, 162:39-62.
[15]	Weltje G J, Prins A. Genetically meaningful decomposition of grain-size distributions[J]. Sedimentary Geology, 2007, 202:409-24.
[16]	Barusseau J P. Influence of mixtures of grain-size populations on the parametric and modal characteristics of coastal sands (Herault, Mediterranean Sea, France)[J]. Journal of Sedimentary Research, 2011, 81:611-629.
[17]	Sengupta S. Size-sorting during suspension transportation-log-normality and other characteristics[J]. Sedimentology, 1975, 22:257-273.
[18]	Sengupta S. Grain-size distribution of suspended load in relation to bed materials and flow velocity[J]. Sedimentology, 1979, 26:63-82.
[19]	Middleton G V. Hydraulic interpretation of sand size distributions[J]. Journal of Geology, 1976, 84:405-426.
[20]	Ashley G M. Interpretation of polymodal sediments[J]. The Journal of Geology, 1978, 86(4):411-421.
[21]	Church M J. Grain-size and shape. In:Middleton GV, Church M, Coniglio M, et al, eds. Encyclopaedia of Sediments and Sedimentary Rocks[M]. Encyclopaedia of Earth Sciences:Berlin, Springer, 2003:928.
[22]	Visher G S. Grain-size distributions and depositional processes[J]. Journal of Sedimentary Petrology, 1969, 39:1074-1106.
[23]	Sheridan M F, Wohletz K H, Dehn J. Discrimination of grain-size subpopulations in pyroclastic deposits[J]. Geology, 1987, 15:367-370.
[24]	Leys J, McTainsh G, Koen T, et al. Testing a statistical curve-fitting procedure for quantifying sediment populations within multi-modal particle-size distributions[J]. Earth Surface Processes and Landforms, 2005, 30:579-590.
[25]	Christiansen C, Bartholdy J, Sørensen C. Composition and size distributions of local and advected sediment trapped over a tidal flat during moderate and storm conditions[J]. Danish Journal of Geography 2006, 106(1):1-11.
[26]	范代读, 郭艳霞, 李从先, 等. 杭州湾庵东浅滩潮坪层序粒度特征及应用[J]. 同济大学学报:自然科学版, 2005, 33:687-691.[FAN Daidu, GUO Yanxia, LI Congxian, et al. Grain-size distributions and their applications on Andong intertidal facies analyses in Hangzhou Bay[J]. Journal of Tongji University(Natural Science), 2005 , 33:687-691.]
[27]	Davis M W, Ehrlich R. Relationship between measures of sediment-size-frequency distributions and the nature of sediments[J]. Geological Society of America Bulletin, 1970, 81:3537-3548.
[28]	Swan D, Clague J J, Luternauer J L. Grain-size statisticsⅠ:Evaluation of the Folk and Ward graphic measures[J]. Journal of Sedimentary Petrology, 1978, 48(3):863-878.
[29]	Swan D, Clague J J, Luternauer J L. Grain-size statistics Ⅱ:Evaluation of grouped moment measures[J]. Journal of Sedimentary Petrology, 1979, 49(2):487-500.
[30]	Fredlund M D, Fredlund D G, Wilson G W. An equation to represent grain-size distribution[J]. Canadian Geotechnical Journal, 2000, 37:817-827.
[31]	国家海洋局908专项办公室. 海洋底质调查技术规程[S]. 北京:海洋出版社, 2006.[908 Project Office ed. Technical Manual for Submarine Surface Sediment Survey[S]. Beijing:China Ocean Press, 2006.]

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DIFFERENCE IN GRAIN-SIZE PARAMETERS OF TIDAL DEPOSITS DERIVED FORM THE GRAPHIC AND ITS POTENTIAL CAUSES