摘要
通过对上海市23个站点的TSP-Pb监测数据的分析,发现TSP与Pb之间具有良好的相关性.因此考虑只用TSP数据对站点进行优化.通过对各站点TSP数据的聚类分析,将所有站点分为6类,然后对包含多个站点的类,将类中各站点与本类均值一同进行再聚类,选取代表站点.最终选取6个站点作为上海市TSP-Pb污染水平的代表站点.优化前后的对比分析表明,优化结果合理,信息损失量小。
Based on the analysis of the TSP- Pb monitoring data in 23 stations of Shanghai from 1991 to 2004, exellent correlation between TSP and Pb was found. Then the stations were optimized by analyzing the TSP data merely. All stations were classified into six classes through cluster analysis, as following, cluster analysis was used with data of each station and the average of the class in the classes which contain more than one station, as a result, one station was selected to represent its class. Resuhly, Minyi, Zhabei, Chongming, Nanhui, Baoshanzhan and Xuhui were selected to represent the pollution level. The comparation between the original data and the result incates that the optimization result is reasonable, and loss of the informarion is small.
出处
《环境科学与管理》
CAS
2007年第9期131-134,共4页
Environmental Science and Management
基金
上海市环境保护科学发展基金项目(沪环科(05-07))
关键词
TSP
PB
点住优化
聚类分析
误差
TSP
Pb
optimization of monitoring sites
cluster analysis
error
