基于多元回归分析的PM2.5预测研究

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。

Research on PM2.5 Concentration Prediction Based on Multiple Regression Analysis

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.