摘要
文章根据2014—2016年全国14个中心城市的雾霾数据构建了无条件三水平发展模型,并利用空模型对雾霾数据的嵌套性结构进行验证,以探究雾霾污染的变化趋势以及雾霾数据的嵌套性特征。实证结果表明:在全国范围内,雾霾数据在时间以及空间上具有嵌套性结构,且PM2.5质量浓度正以平均每年0.468μg/m^3的速度降低。
In this paper,the unconditional three-level development model was constructed based on the haze data of 14 central cities in China from 2014 to 2016,and the nested structure of haze data was verified by using the empty model,so as to explore the variation trend of haze pollution and the nested characteristics of haze data.The empirical results show that:nationwide,the haze data has nested structures in time and space and the mass concentration of PM2.5 is decreasing at an average rate of 0.468μg/m^3 per year.
作者
刘浩
Liu Hao(Chongqing Industrial and Commercial University, Chongqing 400067, China)
出处
《江苏科技信息》
2018年第35期75-77,共3页
Jiangsu Science and Technology Information
基金
重庆工商大学研究生创新项目
项目名称:层次线性贝叶斯模型及其在雾霾成因中的应用研究
项目编号:yjscxx2018-060-50
关键词
多水平发展模型
雾霾污染
嵌套性
multi-level development model
haze pollution
nesting property
