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作 者:林雨霏[1] 刘素美[1] 纪雷[2] 赵中华 张经[1]
机构地区:[1]中国海洋大学化学化工学院,山东青岛266003 [2]山东出入境检验检疫局检验检疫技术中心,山东青岛266002 [3]山东海洋技术开发中心,山东青岛266071
出 处:《海洋环境科学》2007年第2期116-120,共5页Marine Environmental Science
基 金:国家重点基础研究发展规划(973)项目(2006CB40061;2001CB409703)
摘 要:采集黄海千里岩岛春、夏季(2002年3月至8月)降水样品20个,测定了H+、F-、C l-、NO3-、SO42-、K+、Na+、Ca2+、Mg2+、NH4+,并对常量阴、阳离子的含量及组成特征进行了分析与探讨。应用相关性分析及典型相关分析方法分别对降水中常量阴、阳离子及常量阴、阳离子整体间关系进行分析;结果显示,常量阴、阳离子整体间具有较强相关性;因子分析结果显示,各常量离子化学特征可基本确定为两个因子,F因子(FA1)及Na-C l因子(FA2),在主因子FA1-FA2空间,绝大多数样本点聚类,部分结果水平远离平均水平,样本点异常可归为两类,分别受F因子(FA1)及Na-C l因子(FA2)影响。Rainwatersamples were collected at Qianliyan Island ( western Yellow Sea) in the period of Spring-Summer of 2002 and analyzed for major species( pH ,F^- ,Cl^- ,NO3^- ,SO4^2- ,K^+ ,Na^+ ,Ca^2+ ,Mg^2 + and NH4^+ ). Concentrations of major ions were pronounced. Correlation analysis .and canonical correlation analysis wereused to study the relationshipbetween major anions and major cations in rainwater. Result showed that there was a strong relationship between major anions and major cations in rainwater. In order to get the latent variables which most distinguishably effect the sample distribution, data profiles was investigated by factor analysis: two latent variables were responsible for the sample distribution, F_factor (FA1), and Na-Cl_factor(FA2). Results from factor analysis is effective to interpretthe characteristics of sample distribution at Qianliyan Island, and outliers can be ascribed into two latent variables: F factor and Na-Cl_factor.
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