典型石油型城市大气环境质量影响因素的多元统计模型研究——以大庆市为例

A Multivariate Statistical Model with Factors Affecting Atmospheric Environment Quality for Typical Oil-Based City ——A Case Study of Daqing City

为了揭示石油资源型城市大气环境质量变化的影响因素,本文以大庆市为例,以SPSS17.0为分析工具,对影响大气环境质量的工业排放、经济发展、能源消耗、污染防治和气象等众多因素进行主成分分析、相关分析和回归分析,结果证明:大庆市大气环境质量的影响因素主要包括3个因子:污染排放和工业生产影响因子、对大气环境质量有利的(在特定时期内)GDP增长及气象影响因子和对大气环境质量改善有益的环境生产影响因子;并通过回归分析建立了大气环境质量影响因素的回归方程模型,经显著性检验,建立的回归方程具有一定程度的适用性和可信性。本文的研究对促进大庆市大气环境改善和大气环境相关研究具有一定参考价值,对其他城市大气环境的相关研究有一定的促进作用。

In order to reveal the factors affecting the atmospheric environment quality of oil-based cities, this paper conducts a case study in Daqing City by using SPSS17.0 analysis tools including principal component analysis, correlation analysis and regression analysis to study the factors such as industrial emissions, economic development, energy consumption, pollution control and meteorology. The results show that there are three factors affecting the atmospheric environment quality of Daqing City, i. e. , pollutants emissions and industrial production, GDP growth and meteorology which is beneficial for air quality （in certain period） and production concerning environmental protection. The significance test shows that the regression equation established in this study is applicable and credible in some way. This study is helpful for improving atmospheric enviromnent in Daqing. It promotes the studies concerning atmospheric environment for other cities else as well.