STATISTICAL ANALYSIS OF PHYTOPLANKTON BIOMASS IN THE COASTAL WATERS OF LAUWERSOOG (NL)

被引：0

作者：

Niu, Lixia ^{[1
]}

van Gelder, P. H. A. J. M. ^{[2
]}

Zhang, Changkuan ^{[3
]}

Guan, Yiqing ^{[4
]}

Vrijling, J. K. ^{[1
]}

机构：

[1] Delft Univ Technol, Dept Hydraul Engn, Delft, Netherlands

[2] Delft Univ Technol, Dept Safety & Secur Sci, Delft, Netherlands

[3] Hohai Univ, Dept Coastal Engn, Nanjing, Jiangsu, Peoples R China

[4] Hohai Univ, Dept Hydrol & Water Resources, Nanjing, Jiangsu, Peoples R China

来源：

PROCEEDINGS OF THE 36TH IAHR WORLD CONGRESS: DELTAS OF THE FUTURE AND WHAT HAPPENS UPSTREAM | 2015年

关键词：

statistical analysis; phytoplankton biomass; chlorophyll a; factor analysis; MODEL;

D O I：

暂无

中图分类号：

TV21 [水资源调查与水利规划];

学科分类号：

081501 ;

摘要：

A statistical analysis of phytoplankton biomass (in terms of chlorophyll a: Chla) using a factor analysis (FA) is performed in the Wadden Sea near Lauwersoog (53.4167(omicron) N, 6.2000(omicron) E). The present study is based on a historical dataset (187 samples) from 2000 through 2009. The associated environmental indicators are selected to investigate the properties of phytoplankton biomass, including salinity, nitrate (NO3), ammonia (NH4), phosphorus (PO4), dissolved silicate (Si), total nitrogen (TN), total phosphorus (TP), temperature (T), available light intensity (PAR) and suspended matter (SPM). The indicators of salinity, 3 NO3, Si, T, TN and PAR are classified as the driving forcing, while the others are distinguished as less dominant in this case. The findings of this study are significant for reducing the overlapping information and characterizing the roles of environmental indicators to phytoplankton biomass.

引用

页码：4340 / 4348

页数：9

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