摘要
基于2013~2019年济南市环境质量年报资料,运用灰色关联分析法对济南市空气质量影响因素进行了分析。结果表明:济南市空气质量整体上呈向好趋势,其变化是多种因素共同作用的结果,工业废气排放、机动车尾气排放及能源消耗为最主要的影响因素,集中供热面积与年空气质量良好率有很强的相关性,而城市绿化、房屋建筑施工面积、工业用电量等其他因素的作用也在一定程度上影响空气质量。由此,提出了改善济南市空气质量的建议。以供参考。
Based on the Annual Environmental Quality Reports of Jinan from 2013 to 2019,major factors which might influence the air quality of Jinan City were studied by using grey correlation analysis method.As a result,the overall air quality of Jinan City turned better year by year,which was believed to be induced by the co-work of several factors.Therefore,industrial exhaust gas emissions,automotive vehicle exhaust emissions and fossil energy consumption turned to be among the most important influence factors.A strong correlation between central heating areas and comparatively good air quality percentage was found.Furthermore,urban greening,the area of constructing buildings,the quantity of industrial electricity consumption and many other factors might influence the air quality to some extent,either.Finally,suggestions were given to help improve the air quality of Jinan City.
作者
徐改花
胡克宽
李大帅
钮小坤
Xu Gaihua;Hu Kekuan;Li Dashuai;Niu Xiaokun(Jiangsu 3C Technology Inc,Nanjing,Jiangsu 210002,China)
出处
《绿色科技》
2020年第16期92-95,共4页
Journal of Green Science and Technology
关键词
空气质量
灰色关联分析
影响因子
air quality
grey correlation analysis
influencing factors
