区域环境质量可视化分析方法

Visual Analysis Method of Regional Environmental Quality

为分析唐山区域环境质量,以2018年2—4月的空气成分数据为数据源,借助Python对其进行数据可视化分析,包括散点图、热力图,以及污染成分相关性分析等。研究结果表明:针对区域环境质量分析的问题,交互式散点图相对于热力图表现得更加精确实用;季节性变化和地理位置的变化对空气质量的影响程度非常大,PM2.5与空气湿度的变化趋势呈现负相关,可以通过控制湿度来改善空气质量;部分工厂地区PM2.5浓度达到130以上,明显高于其他区域;唐山地区各大工厂污染气体的排放是造成空气污染的主要原因,需要对这些区域进行重点管理。

In order to analyze the regional environmental quality,the air composition data of from February to April in 2018 was collected as data sources.The data sources were subjected to data visualization analysis with Python,including scatter plot,thermal map,and correlation analysis of pollution components.According to the research results,for the problem of regional environmental quality analysis,the interactive scatter plot is more accurate and practical than the thermal map.Seasonal changes and geographical changes have a great impact on air quality,PM2.5 and the change trend of air humidity show a negative correlation,so we can improve the air quality by controlling humidity.The concentration of PM2.5 in some factory areas is above 130,which is significantly higher than that in other areas.The emission of polluting gases from major factories in Tangshan area is the main cause of air pollution,so it is necessary to focus on the management of these areas.