摘要
PM2.5对人体健康和大气环境质量的影响众所周知,分析、预测PM2.5浓度对污染天气防治与干预有着非常重要的作用。利用灰色关联度、多元回归分析等方法对全国各大城市空气质量进行了研究,分析了影响PM2.5浓度的主要因素并进行了影响程度排序,构建了PM2.5预测模型并进行了预测实践,为我国环境空气质量预报和污染天气防治干预提供了有效的决策信息。
PM2.5 is well known for its impact on human health and air quality,and the prediction of PM2.5 concentration plays a very important role in the prevention and intervention of pollution weather.The paper studies air quality of major cities across the country by grey relational degree and multiple regression analysis,combs the main influencing factors of PM2.5 concentration,constructs a PM2.5 prediction model and performs a predictive analysis.The research results provide effective decision-making information for prevention and intervention of pollution weather.
作者
王娟
WANG Juan(Department of Basic Courses, Xianyang Vocational Technical College, Xianyang 712000)
出处
《微型电脑应用》
2020年第3期48-51,共4页
Microcomputer Applications
基金
咸阳职业技术学院2019年教学改革研究项目(2019JYB01)
关键词
PM2.5
预测
灰色关联度
多元回归分析
PM2.5
Prediction
Grey relational degree
Multiple regression analysis
