Grain size distribution of surface sediments and sedimentary environment in the lagoon of Xincun,Hainan Island

Yang Yang; Gao Shu; Zhou Liang; Wang Yunwei; Li Gaocong; Wang Yaping; Jia Peihong

doi:10.3969/j.issn.0253-4193.2016.01.009

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Yang Yang, Gao Shu, Zhou Liang, Wang Yunwei, Li Gaocong, Wang Yaping, Jia Peihong. Grain size distribution of surface sediments and sedimentary environment in the lagoon of Xincun,Hainan Island[J]. Haiyang Xuebao, 2016, 38(1): 94-105. doi: 10.3969/j.issn.0253-4193.2016.01.009

Citation:

Yang Yang, Gao Shu, Zhou Liang, Wang Yunwei, Li Gaocong, Wang Yaping, Jia Peihong. Grain size distribution of surface sediments and sedimentary environment in the lagoon of Xincun,Hainan Island[J]. Haiyang Xuebao, 2016, 38(1): 94-105. doi: 10.3969/j.issn.0253-4193.2016.01.009

Citation:

Yang Yang, Gao Shu, Zhou Liang, Wang Yunwei, Li Gaocong, Wang Yaping, Jia Peihong. Grain size distribution of surface sediments and sedimentary environment in the lagoon of Xincun,Hainan Island[J]. Haiyang Xuebao, 2016, 38(1): 94-105. doi: 10.3969/j.issn.0253-4193.2016.01.009

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Grain size distribution of surface sediments and sedimentary environment in the lagoon of Xincun,Hainan Island

doi: 10.3969/j.issn.0253-4193.2016.01.009

1.
Collaborative Innovation Center of South China Sea Studies, Nanjing University, Nanjing 210023, China;The Key Laboratory of Coast & Island Development of Ministry of Education, Nanjing University, Nanjing 210023, China
2.
The Key Laboratory of Coast & Island Development of Ministry of Education, Nanjing University, Nanjing 210023, China

Received Date: 2015-03-23
Rev Recd Date: 2015-06-04

Abstract

Abstract

Surface sediment samples were collected from the lagoon of Xincun,Hainan Island in China during August 2013,investigating grain size distribution pattern and sediment types. Furthermore,modern sedimentary environment can be well classified by grain size parameters,water depth and hydrodynamic conditions using system cluster and principal component analysis (PCA). The result indicates that sediment samples are characterized by silt and silty sand,which distribute in the central lagoon and near-shore shallow water area,respectively. The mean grain size varies from 0 to 8 Ф,with an average value of 4.6 Ф. The silt has the highest content with 52% in average,and the average content of sand and clay is 43% and 5%. A significant relationship was found between the mean grain size and water depth,which suggested that surface sediment becomes finer gradually with increasing water depth. There are two groups based on cluster analysis of grain size data: the mean grain size of group 1 is more than 5.5 Ф,with an average value of 6.8 Ф,whereas the mean grain size of group 2 is composed of less than 3.5 Ф,with an average value of 2.2 Ф. Furthermore,there are also two different relationships between the mean grain size and sorting/skewness/kurtosis. The average value of root mean square velocity (RMSV) is 7.5 cm/s and 6.9 cm/s during spring and neap tide; standard deviation is 15.3 cm/s and 14.9 cm/s,respectively. There is a significant positive relationship between very fine sand fraction (63 to 125 μm) and RMSV when RMSV>4 cm/s. The results suggested that RMSV determines the variability of very fine sand fraction in the lagoon. System cluster and PCA were used to identify the proper grain size parameters associated with mean grain size,kurtosis,and sorting. Therefore,the modern sedimentary environment can be well classified into three types using mean grain size,kurtosis,sorting,high-spatial resolution RMSV and water depth. In particular,the results suggest the importance of proper grain size parameters and high-spatial resolution hydrodynamic data in differentiate the coastal sedimentary environments.
- surface sediment,
- grain size,
- sedimentary environment,
- cluster analysis,
- PCA,
- root mean square velocity,
- numerical simulation,
- the lagoon of Xincun

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