| 基于灰色聚类法的平顶山市空气质量评价 |
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| 引用本文： | 王世界,王素娜. 基于灰色聚类法的平顶山市空气质量评价[J]. 河南科学, 2014, 0(6): 1092-1095 |
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| 作者姓名： | 王世界 王素娜 |
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| 作者单位： | 平顶山学院,河南平顶山467000 |
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| 基金项目： | 平顶山市2013年度重点调研课题（SKL-384）；平顶山学院省级特色专业资源环境与城乡规划管理专业支持项目 |
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| 摘 要： | 大气污染质量问题一直是关注的环境问题之一,而灰色聚类分析方法在很多领域已有应用.选取污染因子(SO2、NO2、PM10),采用灰色聚类分析方法对平顶山市2008—2012年环境监测数据进行评价,结果表明:平顶山市2008—2012年均空气质量灰色聚类结果为灰类2,并且所属灰类2的趋势越来越明显,平顶山市的大气综合质量处于稳中趋好的态势,平顶山市大气环境质量趋势在逐步转好.
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| 关 键 词： | 大气污染 灰色聚类法 污染因子 平顶山市 |
Assessment of Atmospheric Pollution in Pingdingshan Based on Grey Clustering Method |
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| Wang Shijie,Wang Suna. Assessment of Atmospheric Pollution in Pingdingshan Based on Grey Clustering Method[J]. Henan Science, 2014, 0(6): 1092-1095 |
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| Authors: | Wang Shijie Wang Suna |
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| Affiliation: | (Pingdingshan University, Pingdingshan 467000, Henan China) |
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| Abstract: | Pollution factors such as SO2,NO2 and PM10 were analyzed using grey-clustering method to evaluate the environmental monitoring data of Pingdingshan City during 2008-2012. The results show that the atmosphere comprehensive quality of Pingdingshan City is in stable and good situation. The average annual air quality gray clustering results show that Pingdingshan belong to gray type 2,and the trend of the gray type 2 is more and more obvious,indicating that the quality of atmospheric environment of Pingdingshan City has gradually turned better . |
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| Keywords: | the atmospheric pollution grey-clustering analysis method polluting factors Pingdingshan City |
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