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《山东大学学报(理学版)》 ›› 2021, Vol. 56 ›› Issue (7): 53-64.doi: 10.6040/j.issn.1671-9352.0.2021.232

• • 上一篇    

浙江省空气质量变化特征研究——基于函数型数据分析

武祺然,周力凯*,孙金金,王念鸽,余群芳   

  1. 浙江财经大学数据科学学院, 浙江 杭州 310018
  • 发布日期:2021-07-19
  • 作者简介:武祺然(1996— ),男,硕士研究生,研究方向为函数型数据分类. E-mail:wu1996@zufe.edu.cn*通信作者简介:周力凯(1988— ),男,博士,讲师,研究方向为随机过程极限理论及应用. E-mail:lkzhou@zufe.edu.cn
  • 基金资助:
    浙江省自然科学基金资助项目(LQ18A010006);浙江省一流学科A类(浙江财经大学统计学)基金资助项目;浙江财经大学研究生田野调查基金资助项目(20TYDC053)

Research on characteristics of air quality change in Zhejiang Province——based on functional data analysis

WU Qi-ran, ZHOU Li-kai*, SUN Jin-jin, WANG Nian-ge, YU Qun-fang   

  1. School of Data Science, Zhejiang University of Finance and Economics, Hangzhou 310018, Zhejiang, China
  • Published:2021-07-19

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摘要： 为了探究浙江省空气质量变化特征,选取浙江省2014—2019 年的空气质量指数月度数据和6项主要空气污染物浓度月度数据进行研究。首先,将空气质量指数数据和6项空气污染物浓度数据拟合为函数曲线;然后,为了发掘浙江省空气质量指数和6项空气污染物浓度的动态变化特征,对空气质量指数曲线族的主成分基系数进行了K-means聚类,并对6项空气污染物浓度曲线族进行了多元Funclust聚类;最后,借助ArcGIS绘制浙江省聚类结果空间分布图,并探索了浙江省空气质量的空间分布特征。结果表明,浙江省空气质量变化特征在空间上可以划分为4类区域,呈现出由南至北逐渐变差的趋势;在时间上,浙江省空气质量指数呈逐年稳步下降趋势,SO2浓度下降明显,其他5项污染物浓度具有明显的相似性和显著的季节性特征。

关键词: 浙江省空气质量, 函数型主成分分析, K-means 聚类, 多元 Funclust 聚类

Abstract: In order to explore the characteristics of air quality changes in Zhejiang Province, this paper selects the monthly air quality index data and the monthly data of the concentration of six major air pollutants in Zhejiang Province from 2014 to 2019 for research. First, this article fits the air quality index data and the six air pollutant concentration data into a function curve. Then, in order to discover the dynamic change characteristics of the air quality index and the concentration of six air pollutants in Zhejiang Province, this paper performs K-means clustering on the principal component basis coefficients of the air quality index curve family, and analyzes the six air pollutant concentration curve families perform multivariate Funclust clustering. Finally, we used ArcGIS to draw the spatial distribution map of the clustering results in Zhejiang Province and explored the spatial distribution characteristics of the air quality in Zhejiang Province. The results show that the characteristics of air quality changes in Zhejiang Province can be divided into 4 types of regions spatially, showing a trend of gradual deterioration from south to north; in terms of time, the air quality index of Zhejiang Province has been steadily decreasing year by year, and the concentration of SO2 has dropped significantly. The concentrations of the other five pollutants have obvious similarities and significant seasonal characteristics.

Key words: Zhejiang Province air quality, functional principal component analysis, K-means clustering, multivariate Funclust clustering

中图分类号: 

  • O212
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