基于大数据视角的河南省空气质量状况及影响因素深度分析
An In-Depth Analysis of Air Quality and Its Influencing Factors in Henan Province Based on the Perspective of Big Data

本文采用Friedman检验判断河南省空气质量是否有季节差异，并利用镝数图表数据可视化工具制作出河南省空气质量地区分布图来研究河南省大气污染物和三种气象因素的年际变化特征，最后通过内梅罗指数法探究出对空气质量影响最大的指标。针对文章中的内容和结果，该研究方式具有实践意义。通过研究发现，时间上，河南省AQI年际变化呈倒“V”形，AQI整体存在季节性差异；空间上，河南省AQI总体呈现“北高南低”的空间分布特点。六大空气污染物指标的浓度呈现逐年降低的趋势。通过内梅因指数法探究得出CO对AQI的影响最大。
In this paper, Friedman test is used to determine whether there are seasonal differences in air quality in Henan Province, and regional distribution map of air quality in Henan Province is made by means of dysprosium chart data visualization tool to study the characteristics of the annual changes of air pollutants and three meteorological factors in Henan Province. Finally, Nemero index method is used to explore the index that has the greatest impact on air quality. According to the content and results in the article, this research method has practical significance. Through the research, it is found that the annual variation of AQI in Henan Province presents an inverted “V” shape in terms of time, and the overall AQI has seasonal differences. In terms of space, AQI in Henan Province generally presents a spatial distribution characteristic of “high in the north and low in the south”. The concentration of the six air pollutant indicators showed a decreasing trend year by year. Through Nemaine index method, it is found that CO has the greatest influence on AQI.