摘要
空气质量关乎人类健康.随着工业化、城市化进程加快、机动车快速激增等因素影响,中国城市的空气质量正面临着巨大的考验.乌鲁木齐市环境污染严重,曾经被世界卫生组织列为世界十大污染城市之一,空气质量成为人们关注的焦点.根据2003-2012年近十年数据对乌鲁木齐空气质量进行灰色关联分析,得到与空气质量关联度较大的八项指标.建立了多元线性回归模型,并对近几年的空气质量进行分级,找出空气变化的可能原因.结果表明:影响乌鲁木齐空气污染指标的主要因素集中在城市绿化与能源消耗及工业污染排放等方面,而其他相关因素也在不同方面起到一定程度的影响.从聚类分析效果看,2012年乌鲁木齐市"煤改气"工程降低SO_2浓度十分显著.最后,提出了改善空气质量的建议.
Air quality is important to human health. With the development of industri- alization, rapid urbanization and surge in motor vehicle and other factors, the air quality of China is facing hitherto test. Air quality has drawn the focus of attention in Urumqi, which was once listed as one of the world＇s ten most polluted city. In this paper, the most relevant indicators of air quality were obtained based on the data of 2003-2012 in Urumqi. The multivariable linear regression model and classification of air quality were discussed in recent years to find out the reasons for change of air quality. The result shows the main factors of air pollution focus on city greening, energy consumption and industrial pollution emissions, while other related factors may also impact on different aspects. The result shows that after implement of the project the concentration of SO2 decreases obviously due to the ＂coal to natural gas＂ project in 2012 in Urumqi by cluster analysis. Finally, the suggestion on improving the air quality was proposed.
出处
《数学的实践与认识》
北大核心
2015年第10期149-154,共6页
Mathematics in Practice and Theory
基金
塔里木大学哲学社会科学基金资助项目(TDSKSS1401)
国家自然科学基金(31360055)
