Using chemometrics to evaluate anthropogenic effects in Daya Bay, China
Wu, ML ; Wang, YS
刊名ESTUARINE COASTAL AND SHELF SCIENCE
2007
卷号72期号:4页码:732-742
关键词Daya Bay principal component analysis water quality spatial and temporal patterns
ISSN号0272-7714
通讯作者linlinmei_wu@163.com
中文摘要In this work, we have monitored 12 stations to study the effects caused by natural, marine and anthropogenic activities on water quality in Daya Bay, China. Results show that the N:P ratios are 71.54, 41.29, 81.50 and 98.27 in winter, spring, summer and autumn, respectively. Compared with the data of the past 20 years, the atomic N:P ratios have increased, indicating increased potential for P limitation; the atomic Si:N ratios have decreased; the nutrient structure has substantially changed over a period of 20 years. These findings show that the nutrient structure may be related to anthropogenic influence. The data matrix has been built according to the results, which were analyzed by principal component analysis (PCA). This analysis extracted the first four principal components (PC), explaining 73.58% of the total variance of the raw data. PC1 (25.53% of the variance) is associated with temperature, salinity and nitrate. PC2 (21.64% of the variance) is characterized by dissolved oxygen and silicate. PC3 (15.91% of the variance) participates mainly by nitrite (NO2-N) and ammonia (NH4-N). PC4 explaining 10.50% of the variance is mainly contributed by parameters of organic pollution (dissolved oxygen, 5-day biochemical oxygen demand and chemical oxygen demand). PCA has found the important factors that can describe the natural, marine and anthropogenic influences. Temperature and salinity are important indicators of natural and marine characters in this bay. The northeast monsoons from October to April and southwest monsoons from May to September have important effects on the waters in Daya Bay. It has been demonstrated that anthropogenic activities have significant influence on nitrogen form character. In spatial pattern, a marine aquaculture area and a non-aquaculture area are widely identified by the scores of stations. In seasonal pattern, dry and wet season characters have been demonstrated. (c) 2006 Elsevier Ltd. All rights reserved.
学科主题Marine & Freshwater Biology; Oceanography
收录类别SCI
原文出处ACADEMIC PRESS LTD ELSEVIER SCIENCE LTD
公开日期2011-07-03
内容类型期刊论文
源URL[http://ir.scsio.ac.cn/handle/344004/5891]  
专题南海海洋研究所_热带海洋环境国家重点实验室(LTO)
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GB/T 7714
Wu, ML,Wang, YS. Using chemometrics to evaluate anthropogenic effects in Daya Bay, China[J]. ESTUARINE COASTAL AND SHELF SCIENCE,2007,72(4):732-742.
APA Wu, ML,&Wang, YS.(2007).Using chemometrics to evaluate anthropogenic effects in Daya Bay, China.ESTUARINE COASTAL AND SHELF SCIENCE,72(4),732-742.
MLA Wu, ML,et al."Using chemometrics to evaluate anthropogenic effects in Daya Bay, China".ESTUARINE COASTAL AND SHELF SCIENCE 72.4(2007):732-742.
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