摘要
利用熵权法计算权重并与灰色关联分析法相结合构建新模型,对北京市2001-2012年空气质量的影响因素进行分析。熵权灰色关联分析的结果表明:空气污染的影响因素复杂多变,是经济社会诸多因素相互作用形成的;产业结构、工业污染源排放和气象要素与北京的空气质量之间具有密切联系,其中,第二产业占比、平均气温、工业SO2排放量、能源消耗量和平均风速是主要的影响因素。为此,应优化产业结构、推广清洁能源、创新环境规制手段、科学规划城市以及构建多元协同治理和区域合作治理模式以改善北京市空气质量。
By using weighted entropy to give indexes weight, and integrated with the grey relational analysis method to establish a new model, this research for identified air quality affected factors in Beijing from 2001 to 2012. The results indicated that the influencing factors of air pollution is complex, and is formed by interaction of economic and social factors. The relation between air quality of Beijing and industrial structure, industrial pollution emissions and meteorological factors are close. Proportion of secondary industries, average temperature, industrial sulfur dioxide emissions, energy consumption and the average wind speed are the main influence factors. To improve the air quality of Beijing, some recommendations are offered, such as optimizing the industrial structure, promoting clean energy, innovating environmental regulation, carrying out scientific city planning and implementing multiple cooperative governance and regional cooperation governance.
出处
《生态经济》
北大核心
2017年第3期142-147,共6页
Ecological Economy
基金
福建省软科学研究项目"福建省污水治理产业技术发展预测与升级对策研究"(2017R010062)
福建省中国特色社会主义理论体系研究中心重大委托项目"中国生态文明试验区(福建)产业绿色发展新动能研究"(2017TWZ007)
关键词
熵权法
灰色关联分析
空气质量
影响因素
entropy-weight
grey relational analysis
air quality
influencing factors
