摘要
机动车尾气排放是空气污染物的主要来源之一。为了解机动车限行政策下兰州市空气质量的影响因素,首先对2016—2019年兰州市空气质量数据进行统计分析,其次利用逐步回归分析法建立空气质量指数(Air Quality Index,AQI)与空气污染物浓度的多元线性回归模型,最后对气象因素和空气污染物浓度进行相关性分析。结果表明,限行政策有助于改善空气质量,AQI与空气污染物浓度有明显相关性,气象因素与空气污染物浓度也有明显相关性。
Motor vehicle exhaust emissions are one of the main sources of air pollutants.In order to understand the influencing factors of air quality in Lanzhou city under the policy of motor vehicle restrictions,this paper first conducts statistical analysis on the air quality data of Lanzhou city from 2016 to 2019,and then uses stepwise regression analysis to establish a multiple linear regression model between the Air Quality Index(AQI)and air pollutant concentration,and finally conducts correlation analysis between meteorological factors and air pollutant concentration.The results indicate that the restriction policy helps to improve air quality,and there is a significant correlation between AQI and air pollutant concentrations,as well as a significant correlation between meteorological factors and air pollutant concentrations.
作者
刘囡
王花兰
LIU Nan;WANG Huaan(School of Traffic and Transportation,Lanzhou Jiaotong University,Lanzhou 730070,China)
出处
《中国资源综合利用》
2024年第3期127-133,共7页
China Resources Comprehensive Utilization
基金
甘肃省重点研发计划项目“祁连山国家公园高速公路路域生态风险评估与循环修复技术”(23YFFA0058)。
关键词
限行
空气质量
相关性分析
多元线性回归模型
traffic restriction
air quality
correlation analysis
multiple linear regression model
