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长春南湖环境水化学动态变化及其影响因素分析
引用本文:高晶,王小雨,冯江. 长春南湖环境水化学动态变化及其影响因素分析[J]. 环境科学与管理, 2006, 31(4): 161-164
作者姓名:高晶  王小雨  冯江
作者单位:东北师范大学,城市与环境科学学院,吉林,长春,130024
基金项目:吉林省重点实验室基金 , 吉林省长春市科学技术局资助项目
摘    要:应用最大方差旋转因子分析法分析了长春南湖2004年监测的10项水化学指标,提取到三个主因子代表原信息的90.23%,利用24个观测量在第一和第二主因子上的得分对其进行聚类,各观测量均聚到相应月份中.结果显示在时间变化上7月富营养化程度最高,8月水体有机污染程度相对较低,分析水质在空间分布上的特征中得到,外源污染对水体质量影响深刻,不同监测点位的有机物污染和富营养化程度存在较大差异.

关 键 词:长春南湖  水化学动态  因子分析  影响因素  长春南湖  环境水  化学动态变化  影响因素分析  Lake  Influencing Factors  Analysis  Characteristics  差异  存在  有机物污染  监测点位  质量影响  外源污染  特征  空间分布  水质  污染程度  水体  富营养化
文章编号:1673-1212(2006)04-0161-04
修稿时间:2006-04-05

The Dynamic Changes of Hydrochemical Characteristics and the Analysis of Influencing Factors about Nanhu Lake in Changchun
GAO Jing,WANG Xiao-yu,FENG Jiang. The Dynamic Changes of Hydrochemical Characteristics and the Analysis of Influencing Factors about Nanhu Lake in Changchun[J]. Environmental Science and Management, 2006, 31(4): 161-164
Authors:GAO Jing  WANG Xiao-yu  FENG Jiang
Abstract:By using factor analysis with varimax rotation,this paper studied ten hydrochemistry indexes about Nanhu Lake in Changchun city.Three principal components were extracted,which could reflect 90.23% of the original information.At the same time,the cluster analysis about 24 observational data was completed,which was based on the factor scores got on the first and the second principal components,and every observational parameter was clustered into the corresponding month.The results showed that in temporal variety,the eutrophication level in July was the highest,and the water organic pollution level in August was the greatest;by analyzing the characteristics of the water quality on the spatial distribution,we concluded that the external pollution source influenced the water quality strongly,and the organic pollution and the eutrophication level had great difference in different sampling sites.
Keywords:Nanhu Lake in Changchun  hydrochemistry dynamic  factor analysis  influencing factors
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