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首页> 外文期刊>Current Science: A Fortnightly Journal of Research >Cluster analysis applied to atmospheric PM sub(10) concentration data for determination of sources and spatial patterns in ambient air-quality of Kathmandu Valley
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Cluster analysis applied to atmospheric PM sub(10) concentration data for determination of sources and spatial patterns in ambient air-quality of Kathmandu Valley

机译：聚类分析应用于大气PM sub（10）浓度数据，以确定加德满都谷地周围空气质量的来源和空间格局

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摘要

The statistical cluster analysis of particulate matter concentration, measured as PM sub(10) in a network of airquality monitoring stations located in Kathmandu Valley is presented. PM sub(10) data for the period 2003-05 has been analysed. Spatial classification was attempted on the basis of ambient air-quality data. A hierarchical agglomeration schedule using linkages between groups by the Euclidean distance metric was used and Ward's strategy was followed to unite two clusters. Two distinct clusters were formed irrespective of the season. The pre-monsoon cluster of monitoring sites reflected similar rural characteristics. The other cluster comprising airmonitoring sites was typified in having urbanized areas with densely populated commercial characteristics with high motor vehicular traffic. The cluster characteristics of monitoring sites during the monsoon, post-monsoon and winter seasons reflected city-centric and distant area characteristics. Cluster analysis reiterates the fact that it is the nature of sources that matters, on the overall air quality of the area. Results of both cluster analysis and non-parametric tests suggest that in the Kathmandu Valley there is difference in pollutant levels across land-use types and topographical characters.
机译：介绍了位于加德满都谷地的空气质量监测站网络中，颗粒物浓度的统计聚类分析，以PM sub（10）进行测量。已经分析了2003-05年期间的PM sub（10）数据。尝试根据环境空气质量数据进行空间分类。使用基于欧几里德距离度量的组间链接的分层集聚计划，并遵循Ward的策略将两个群集组合在一起。与季节无关，形成了两个不同的簇。季风前的监测点群反映出类似的农村特征。另一个由空气监测站组成的集群的典型代表是城市化地区的商业特征密集，机动车辆流量大。季风，季风后和冬季的监测点的群集特征反映了以城市为中心和偏远地区的特征。聚类分析重申了一个事实，即对区域总体空气质量至关重要的是源的性质。聚类分析和非参数测试的结果均表明，在加德满都谷地，污染物的水平因土地利用类型和地形特征而异。

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