摘要
依据2017年《中国统计年鉴》,运用spss22.0软件对我国31个省份(不包括港澳台)的生活污水、工业废水和初雨径流入排水管等其他无用水(正文简称"废水")进行了因子分析及聚类分析。重点对2016年全国废水污染物的原始数据进行因子分析,发现北京、上海及偏远地区的废水污染低于全国平均值,其他地区在不同主因子上各有侧重。将2013—2015年的数据与2016年的数据进行聚类分析,发现废水污染物虽然呈现逐年下降的趋势,但是各省份废水中主要污染物并没有得到控制。结合数据分析的结果和各地的治理方法,建议对污染物相似的省份采取相近治污方法,从而对废水污染物进行有针对性的治理,提高工作效率。
Based on China Statistical Yearbook 2017,this paper,using spss 22.0,does the factor analysis and cluster analysis of non-use water,hereinafter referred to as waste water,including domestic sewage,industrial waste water and drain-pipe first foul flush,of 31 provinces,municipalities and autonomous regions in China.Focusing on the factor analysis of the raw data concerning waste water pollutants in 2016,it comes to the conclusion that waste water pollution in Beijing,Shanghai and China’s remote areas is lower than the national average value,and that waste water pollution of other areas varies with main factors.Cluster analysis of 2013-2015 data and 2016 data shows that although wastewater pollutants are decreasing year by year,the main pollutants of all the provinces,municipalities and autonomous regions remain the same.According to the results of data analysis and the measure local governments adopt to deal with pollution,the paper suggests that similar pollution control methods be adopted by the provincial areas with similar pollutants,so that waste water pollutants can be treated with a clear aim to improve efficiency.
作者
朱萍
ZHU Ping(School of Economics,Nanjing University of Finance and Economics, Nanjing 246000,China)
出处
《无锡商业职业技术学院学报》
2018年第6期19-23,28,共6页
Journal of Wuxi Vocational Institute of Commerce
关键词
废水污染
系统聚类分析
SPSS软件
waste water pollution
system cluster analysis
spss software
