摘要
通过对宁波市2009-2011年空气中可吸入颗粒物、NO2、SO2等大气污染物监测数据分析,运用Arc GIS、MATLAB、EXCEL绘制了各污染物的时空分布图。结合当地能源结构、工业布局等,用聚类分析法得出轻工业、重工业、私人汽车拥有量等14个因素对空气质量影响程度,为减轻宁波市的空气污染提供科学参考依据。
The paper analyzes the monitoring data （ from 2009 to 2011 ） of atmosphere pollutants including inhalable particles, NO2, SO2 in Ningbo area. Temporal and spatial distribution of atmosphere pollutants has been investigated by ArcGIS, MATLAB, EXCEL. Cluster analysis was used in order to get the influence degree of 14 factors including light industry, heavy industry, private cars. The results could be used in control of air pollution in Ningbo area.
出处
《杭州电子科技大学学报（自然科学版）》
2014年第6期39-42,共4页
Journal of Hangzhou Dianzi University：Natural Sciences
关键词
可吸入颗粒物
NO2
SO2
宁波市
时空分布
聚类分析
inhalable particle
NO2： SO2
Ningbo
temporal and spatial distribution
cluster analysis
