摘要
依据西安地区监测站监测到的数据,对该地区空气中PM2.5的问题做了详细研究,得出了PM2.5浓度与AQI中其他成分之间的相关性。同时对监测到的数据进行预处理,建立多元化回归模型,利用SAS软件对处理后的数据进行曲线拟合,从而得出PM2.5浓度值与其他指标间的关系式,并且作出验证。最后,分析了该地区PM2.5的时空分布与其污染程度间的关系,充分说明了PM2.5对环境的影响。
Based on the data from the air monitoring stations in Xi＇an, PM2.5 problem was studied in detailed and the relationship between the concentrations of PM2.5 and the other components in the AQI was investigated. The data was preconditioned and a pluralistic regression model was constructed and the curve fitting of the preconditioned data was carried out using SAS software. The relationship between PM2.5 and other polluters was established. The space-time distributions of PM2.5 and the pollution degree in the region were analyzed. The fact is that PM2.5 is an air polluter.
出处
《黑龙江大学自然科学学报》
CAS
北大核心
2014年第2期233-237,共5页
Journal of Natural Science of Heilongjiang University
基金
国家自然科学基金资助项目(21207112)
关键词
PM2
5
浓度
多元线性回归模型
污染程度
PM2. 5 concentration
multiple linear regression model
pollution degree
