摘要
本文针对蚌埠市空气中PM2.5问题,综合多元偏相关、回归拟合、模糊数学等多种方法,分析了蚌埠市空气质量指数历史数据,建立了PM2.5相关分析、多元线性回归等模型,对PM2.5的相关因素进行分析.然后利用模糊综合评价模型来刻画蚌埠地区PM2.5的时空分布规律并且分区进行评估.最后建立高斯扩散模型,得到蚌埠市六个监测点的重污染范围和安全范围,研究PM2.5的扩散和衰减规律.
The paper discuss the problem of Bengbu PM2. 5 in the air. A combination of multiple partial correlation,regression fitting,fuzzy mathematics and other methods. The historical data of air quality index were analyzed in Beng Bu. PM2. 5 correlation analysis and multiple linear regression model was established,so as to analyze the related factors of PM2. 5. Then using fuzzy synthetic evaluation model to explain the PM2. 5 in time and space distribution rule,and to evaluate the partition. Eventually gaussian diffusion model is set up,thus the scope of heavy pollution and security were concluded at six monitoring stations in Bengbu,studying on diffusion and attenuation law of PM2. 5.
出处
《佳木斯大学学报（自然科学版）》
CAS
2016年第2期293-296,299,共5页
Journal of Jiamusi University：Natural Science Edition
作者简介
徐路（1993-）女，安徽蚌埠人，研究方向：国际金融．
