基于回归和聚类的青岛市空气质量分析

Analysis of Air Quality in Qingdao Based on Regression and Cluster

摘要: 本文通过研究山东省青岛市空气质量指数和空气质量相关指标，分析得到青岛市主要污染物并对该污染物于2020年在青岛市的空间分布情况进行分析。首先通过描述性统计对2016~2020年青岛市空气质量情况进行分析，随后利用回归分析进行进一步的判断，综合分析后得出五年间青岛市空气主要污染物类别。而后利用聚类分析以及方差分析的方法，对主要污染物空间分布进行分析。本文最终得出的结论：近五年来，2018年青岛市空气质量最优；主要污染物为PM_2.5。全年空气污染较严重时期为冬季；青岛市空气污染较为严重的区域是黄岛区、市北区以及城阳区。

Abstract: This paper analyzes the main pollutants in Qingdao and the spatial distribution of the pollutants in Qingdao in 2020 by studying the air quality index and air quality related indicators. Firstly, the air quality of Qingdao from 2016 to 2020 was analyzed through descriptive statistics, and then the regression analysis was used to make further judgment. After comprehensive analysis, the main air pollutant categories in Qingdao in five years were obtained. Then, cluster analysis and variance analysis are used to analyze the spatial distribution of main pollutants. The final conclusion of this paper is that the air quality of Qingdao in 2018 is the best in the past five years. The main pollutant is PM_2.5 and the serious period of air pollution throughout the year is winter. The areas with heavy air pollution in Qingdao are Huangdao District, Shibei District and Chengyang District.