| 系统聚类和主成分分析在现代沉积环境划分中的应用-以海南新村港潟湖为例 |
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| 引用本文： | 杨阳,高抒,周亮,王韫玮,李高聪,汪亚平,韩卓尘,贾培宏.系统聚类和主成分分析在现代沉积环境划分中的应用-以海南新村港潟湖为例[J].海洋学报(英文版),2017,36(4):64-71. |
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| 作者姓名： | 杨阳 高抒 周亮 王韫玮 李高聪 汪亚平 韩卓尘 贾培宏 |
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| 作者单位： | 华东师范大学 河口海岸学国家重点实验室, 上海, 200062;南京大学 海岸与海岛开发教育部重点实验室, 南京, 210093,华东师范大学 河口海岸学国家重点实验室, 上海, 200062;南京大学 海岸与海岛开发教育部重点实验室, 南京, 210093,华东师范大学 河口海岸学国家重点实验室, 上海, 200062;南京大学 海岸与海岛开发教育部重点实验室, 南京, 210093,河海大学 港口海岸与近海工程学院, 南京, 210098,南京大学 海岸与海岛开发教育部重点实验室, 南京, 210093,南京大学 海岸与海岛开发教育部重点实验室, 南京, 210093,南京大学 海岸与海岛开发教育部重点实验室, 南京, 210093,南京大学 海岸与海岛开发教育部重点实验室, 南京, 210093 |
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| 摘 要： | An understanding of the sedimentary environment in relation to its controlling factors is of great importance in coastal geomorphology,ecology,tourism and aquaculture studies.We attempt to deal with this issue,using a case study from the Xincun Lagoon,Hainan Island in southern China.For the study,surficial sediment samples were collected,together with hydrodynamic and bathymetric surveys,during August 2013.Numerical simulation was carried out to obtain high-spatial resolution tidal current data.The sediment samples were analyzed to derive mean grain size,sorting coefficient,skewness and kurtosis,together with the sand,silt and clay contents.The modern sedimentary environments were classified using system cluster and principal component analyses.Grain size analysis reveals that the sediments are characterized by extremely slightly sandy silty mud(ESSSM) and slightly silty sand(SSS),which are distributed in the central lagoon and near-shore shallow water areas,respectively.Mean grain size varies from 0 to 8.0Ф,with an average of 4.6Ф.The silt content is the highest,i.e.,52% on average,with the average contents of sand and clay being 43% and 5%,respectively.There exists a significant correlation between mean size and water depth,suggesting that the surficial sediments become finer with increasing water depth.Cluster analyses reveals two groups of samples.The first group is characterized by mean grain size of more than 5.5Ф,whilst the second group has mean grain size of below 3.5Ф.Further,these groups also have different correlations between mean grain size and the other grain size parameters.In terms of the tidal current,the average values of the root mean square velocity(RMSV) are 7.5 cm/s and 6.9 cm/s on springs and neaps,respectively.For the RMSVs that are higher than 4 cm/s,a significant positive correlation is found between the content of the 63–125 μm fraction and the RMSV,suggesting that the RMSV determines the variability of the very fine sand fraction.Based on system cluster and principal component analyses(PCA),the modern sedimentary environments are classified into three types according to the grain size parameters,RMSVs and water depth data.The results suggest the importance of grain size parameters and high-spatial resolution hydrodynamic data in differentiating the coastal sedimentary environments.
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| 关 键 词： | 表层沉积物 粒度 沉积环境 统计分析 数值模拟 海南岛 |
| 收稿时间： | 2015/12/19 0:00:00 |
| 修稿时间： | 2016/6/22 0:00:00 |
Classifying the sedimentary environments of the Xincun Lagoon, Hainan Island, by system cluster and principal component analyses |
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| YANG Yang,GAO Shu,ZHOU Liang,WANG Yunwei,LI Gaocong,WANG Yaping,HAN Zhuochen and JIA Peihong.Classifying the sedimentary environments of the Xincun Lagoon, Hainan Island, by system cluster and principal component analyses[J].Acta Oceanologica Sinica,2017,36(4):64-71. |
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| Authors: | YANG Yang GAO Shu ZHOU Liang WANG Yunwei LI Gaocong WANG Yaping HAN Zhuochen and JIA Peihong |
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| Institution: | 1.State Key Laboratory for Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China;Ministry of Education Key Laboratory for Coast and Island Development, Nanjing University, Nanjing 210093, China2.College of Harbour, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China3.Ministry of Education Key Laboratory for Coast and Island Development, Nanjing University, Nanjing 210093, China |
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| Abstract: | An understanding of the sedimentary environment in relation to its controlling factors is of great importance in coastal geomorphology, ecology, tourism and aquaculture studies. We attempt to deal with this issue, using a case study from the Xincun Lagoon, Hainan Island in southern China. For the study, surficial sediment samples were collected, together with hydrodynamic and bathymetric surveys, during August 2013. Numerical simulation was carried out to obtain high-spatial resolution tidal current data. The sediment samples were analyzed to derive mean grain size, sorting coefficient, skewness and kurtosis, together with the sand, silt and clay contents. The modern sedimentary environments were classified using system cluster and principal component analyses. Grain size analysis reveals that the sediments are characterized by extremely slightly sandy silty mud (ESSSM) and slightly silty sand (SSS), which are distributed in the central lagoon and near-shore shallow water areas, respectively. Mean grain size varies from 0 to 8.0Ф, with an average of 4.6Ф. The silt content is the highest, i.e., 52% on average, with the average contents of sand and clay being 43% and 5%, respectively. There exists a significant correlation between mean size and water depth, suggesting that the surficial sediments become finer with increasing water depth. Cluster analyses reveals two groups of samples. The first group is characterized by mean grain size of more than 5.5Ф, whilst the second group has mean grain size of below 3.5Ф. Further, these groups also have different correlations between mean grain size and the other grain size parameters. In terms of the tidal current, the average values of the root mean square velocity (RMSV) are 7.5 cm/s and 6.9 cm/s on springs and neaps, respectively. For the RMSVs that are higher than 4 cm/s, a significant positive correlation is found between the content of the 63–125 μm fraction and the RMSV, suggesting that the RMSV determines the variability of the very fine sand fraction. Based on system cluster and principal component analyses (PCA), the modern sedimentary environments are classified into three types according to the grain size parameters, RMSVs and water depth data. The results suggest the importance of grain size parameters and high-spatial resolution hydrodynamic data in differentiating the coastal sedimentary environments. |
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| Keywords: | surficial sediment grain size lagoon sedimentary environment statistical analysis numerical simulation Hainan Island |
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