摘要
目前的环境实时监测数据精度和适用范围都有一定限制,为此提出并改进一种新的环境预测模型,用于预测大气环境质量,收集6个空气污染物指标和5个相应的气象指标并进行检测。研究发现通过逐步线性回归优化多元线性方程,可以准确预测短期大气环境质量,改进后的模型可以相对准确地预测未来大气污染物的质量浓度。
There are some limitations in the accuracy and scope of application of the current environmental real-time monitoring data. A new environmental prediction model is proposed and improved, which is used to predict atmospheric environmental quality. Six air pollutant indexes and 5 corresponding meteorological indexes are collected for detection. The results are as follows: the multivariate linear equation optimized by stepwise linear regression can accurately predict the short-term atmospheric environmental quality, and the improved model can predict mass the concentration of atmospheric pollutants in the future relatively accurately.
作者
翟维
ZHAI Wei(College of Electronic Engineering,Xi’an Aeronautical University,Xi’an 710077,China)
出处
《微型电脑应用》
2022年第3期186-188,192,共4页
Microcomputer Applications
关键词
环境监测
多元线性回归
数据分析
预测模型
environmental monitoring
multiple regression analysis
data analysis
prediction model
