摘要
将太湖2001~2002年的水质监测数据与空间数据结合,采用基于因子分析的主成分方法将太湖的水质参数概括为5个主成分,提取并反证了湖泊水质各个主成分的科学内涵,即水体营养指数、富营养化指数、植物生长环境指数、水体色度指数和水体酸碱指数;研究了各主成分的空间分布特征、意义以及月均值随时间的变化规律.指出水体营养指数和植物生长环境指数是太湖富营养化的主要驱动因子,水体色度指数和水体酸碱指数是太湖富营养化的次要驱动因子并可作为富营养化的指示因子.
By combination of water quality monitoring data with spatial data of Taihu Lake for 2001-2002, five principal components, including the nutrient index, eutrophication index, plant growth index, chrominance index, and pH index, were extracted from the water quality parameters of Taihu Lake by use of the principal component analysis method based on factor analysis, and the significance of the five components to the water quality of the lake was verified. Besides, the spatial distribution characteristics and significance of the principal components and the variation of their monthly averaged values were studied. It is concluded that the nutrient index and plant growth index are the key driving factors to the eutrophication of Taihu Lake, and that the chrominance index and pH index are the secondary driving factors and can be taken as indictors of the eutrophication of Taihu Lake.
出处
《河海大学学报(自然科学版)》
CAS
CSCD
北大核心
2004年第6期644-647,共4页
Journal of Hohai University(Natural Sciences)
基金
江苏省自然科学基金资助项目(BK2002067)
国家自然科学基金资助项目(50239030)
国家"863"计划资助项目(2003AA6011002)