摘要
基于北京市20172020年各空气监测站点数据,计算出北京5个区域的空气质量日均值数据,在对各区域空气质量数据进行描述分析的基础上,从整体上分析北京市空气质量与气象、社会经济因素之间的关系。通过回归模型和决策树模型,分别对北京5个区域AQI指标值和空气质量等级数据进行影响因素和预测分析,对北京市的空气质量治理提出相应的建议具有一定的实践价值。
Based on the data of air monitoring station in Beijing from 2017 to 2020,the study calculates the average daily data of air quality in 5 regions in Beijing,and analyzes the relationship of air quality and meteorological and social economic factors in Beijing City based on the descriptive analysis of the air quality in all regions.Through regression model and decision-making tree model,the influencing factor and prediction of AQI index and air quality grade data in 5 districts in Beijing are analyzed.Finally,this study puts forward corresponding suggestions for the treatment of air quality in Beijing City.It has practical value.
作者
金仁浩
曾国静
赵欣然
Jin Renhao;Zeng Guojing;Zhao Xinran(School of Information, Beijing Wuzi University, Beijing 101149, China)
出处
《黑龙江科学》
2022年第8期46-50,共5页
Heilongjiang Science
基金
北京市优秀人才培养资助(2017000020124G051)
北京市教委科技计划一般项目(KM201910037002)。
关键词
空气质量
AQI
回归模型
决策树模型
Air quality
AQI
Regression model
Decision-making tree model
